Reading notes, references, and events

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Don't Ship Skills Without Evals — Philipp Schmid, Google DeepMind

There are thousands of agent skills. Almost none of them are tested. They get vibe-checked with two manual runs, maybe a thumbs-up from a colleague, then shipped. You wouldn't merge code without tests — so why are we shipping skills without evals? This talk covers the full lifecycle of building reliable agent skills: w

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WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar

In the last two years, models have gotten exponentially smarter. Two years ago they couldn't pass the bar. Today, top 1% of test scorers. And yet most agents still can't answer a simple business question correctly. You ship a demo that works. You deploy it. The business abandons it in a month. The missing variable is c

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Forward Deployed Engineering at Cursor — Pauline Brunet

# How Forward Deployed Engineering is done at Cursor **Location:** Forward Deployed Engineering / Room 2020 **When:** Day 2 - June 30, 2026 · 11:10am-11:30am ## Speakers ### Pauline Brunet VP, Forward Deployed Engineering · Cursor [LinkedIn](https://www.linkedin.com/in/pauline-brunet/) VP of Forward Deployed Engineerin

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"The engineer of the future is the person who is able to choose what is worth doing." — Addy Osmani

For his closing keynote, Addy Osmani explores the evolving role of software engineers in the age of AI agents. He argues that as coding tasks become increasingly automated, the true value of an engineer shifts from mere code production to accountability, judgment, and system ownership. https://addyosmani.com/ https://x

Securing the AI supply chain on GKE: Introducing k8s-aibom for automated AI BOMs

We’re open-sourcing k8s-aibom, a Kubernetes controller that continuously monitors environments to detect AI runtimes and generate standard ML-BOMs.

New MemGhost Attack Plants Persistent False Memories in AI Agents Through One Email

Give an AI assistant a memory and access to your inbox, and you hand an attacker a way to rewrite what it thinks it knows about you. A single email can trick that agent into saving a false "fact" about the user, hide the change, and quietly steer its answers in later sessions. When it works, the person reads an ordinar

Thinking Fast and Slow in the SOC: The Case for Combining Autonomous AI with Analyst Copilots

A few days ago, I was sitting with the CISO of a Fortune 50 company, walking through how his security team was thinking about AI agents in the SOC. Smart team. Serious program. They had already connected Claude to a few detection tools and were seeing real value in specific investigations. But as we mapped out the broa

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In Code They Act, In Proof We Trust — Erik Meijer, Leibniz Labs

AI agents today execute on blind trust, and the failure modes are already in the headlines: a dealership chatbot agreeing to sell a $76,000 Chevy Tahoe for $1, a coding agent wiping a production database during a code freeze, an "agent skill" quietly installing a keylogger on a developer's machine. These are not edge c

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Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakers

Psychologists spent the last century learning how to measure something invisible and uncooperative: a human mind. AI evaluation, meanwhile, still scores like it is 1950. Count the right answers, treat every question as equal, trust the percentage (this is Classical Test Theory). We are sitting on decades of measurement

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The Prime Intellect Stack — Will Brown, Prime Intellect

Deep dive into Prime Intellect's open-source ecosystem of post-training tools, including the verifiers and prime-rl libraries, as well as the Lab platform for self-serve training and inference. Speaker: Will Brown — Research Lead, Prime Intellect Will Brown leads Applied Research at Prime Intellect and builds open rese

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The Great Loops Debate — Dex Horthy, Geoff Huntley, Ian Livingstone, Greg Pstrucha, @insecure-agents

Oxford Style Debate: There is, or is not, a delta between the hype behind loops and what actually works in practice. Team No Delta (pro the way we do loops today) The hype around loops is valid and loops work well today in practice. Loops today can be a silver bullet and result in outsize productivity gains, and marks

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remobi.app: Don't change your terminal workflow for mobile

remobi.app: Don't change your terminal workflow for mobile. Swipe between agents, unblock when stuck.

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The AI bugpocalypse is here. Now what? - Jack Cable, Corridor

Something shifted in the past year that most security teams haven't fully reckoned with yet: AI models can now find serious vulnerabilities in production code, at scale, with minimal human skill required. Not in toy examples. In libraries that have been reviewed hundreds of times by the best researchers in the world. J

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What Does Done Even Mean? Agents and Paperclip's Liveness Model - Dotta, Paperclip

What does “done” mean when agents can produce more work than humans can possibly review? This talk argues that the future of agentic work is not just faster output, but a stronger trust protocol: systems where “done” means an artifact has met a stated standard, carries evidence, has been checked by the right verifier,

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RLM: Recursive Language Models for Large Codebases - Shashi, Superagentic AI

Large codebases break coding agents: they lose the architecture and drown in tool output as context grows. This talk introduces Recursive Language Models (RLM) from a MIT paper a pattern that loads the repo into a programmable REPL where the model writes code to inspect it and recursively delegates focused sub-question

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Semantic Blindness: 500,000 Sensors Confused an LLM - Raahul Singh & Vanč Levstik, Phaidra

You cannot solve a combinatorial engineering problem with a next token prediction engine. We learned this the hard way. Modern LLMs can write code, summarize research papers, and reason across massive datasets. But what happens when you connect them to mission-critical physical infrastructure with 50,000 live sensors,

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Stop Evaluating Models Like It's the 50s - Alejandro Vidal, Mindmakers

Psychologists spent the last century learning how to measure something invisible and uncooperative: a human mind. AI evaluation, meanwhile, still scores like it is 1950. Count the right answers, treat every question as equal, trust the percentage (this is Classical Test Theory). We are sitting on decades of measurement

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ReviewDebt: a practical framework for scoring every pull request — Sachin Gupta, Ebay

Coding agents ship PRs faster than humans can trust them. The gap is filling up with a debt nobody is measuring — and it's about to swallow your engineering velocity. Every team in 2026 measures coding agents the same way: PR count, lines of code, cycle time, developer NPS. None of those see the real cost — bloated dif

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A Song of Types and Agents - Roberto Stagi, Ratel

Python ruled unchallenged for a decade, sitting comfortably on the AIron Throne. But a quiet rebellion is brewing: the entire stack that actually deploys AI agents in production runs on npm, not pip. This lightning talk is an opinionated, slightly unhinged tour of how TypeScript is taking over the AI throne, why this h

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The Agentic Web and the Bazaar Era of AI - Ramesh Raskar, MIT Media Lab

The AI agent industry is currently focused on memory, orchestration, enterprise deployment, and tooling. But these are the first steps toward a larger transformation: the emergence of the Agentic Web. Today’s ecosystem resembles the early days of AOL: closed platforms, proprietary agent stores, and siloed orchestration

Contributing to U.K. financial sector resilience as a critical third party

The U.K. Treasury has designated Google Cloud EMEA as a critical third party (CTP) to the U.K. financial sector under the CTP regime. Here’s how that helps you.

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Develop at Idea Velocity - Jeffrey Lee-Chan, Snapchat

The biggest gap in production AI agent systems is not the model—it's the harness. After 1,000 hours of orchestrating autonomous fleets under human direction, the pattern is unmistakable: agents that finish complex tasks on the first run routinely fail on subsequent iterations because the surrounding loop lacks persiste

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From Writing Code to Designing Systems: How the Developer Role is Changing — Chris Noring, Microsoft

For decades, developers have been valued primarily for how much code they could write and how quickly they could write it. That model no longer scales. As AI becomes a first-class collaborator, the bottleneck is no longer syntax or implementation speed—it’s clarity of intent, architectural thinking, and the ability to

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State of the Union: Why Local, Why Now — NVIDIA, Osmantic, Roboflow, EXO Labs, @matthew_berman

Local AI has crossed from interesting to useful, driven by stronger open models, better hardware, and a maturing ecosystem for running intelligence outside the cloud. This panel explores what that shift unlocks for sovereignty, defense, regulated industries, privacy, cost, and resilience, and why open-source AI may be

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Chat and citations won't save your vertical AI - Atul Ramachandran, Filed Inc

Most vertical SaaS teams are doing the same things: chasing higher accuracy, building better model harnesses, shipping more features. And their customers are saying the same things: the AI got this wrong, it hallucinated, the accuracy is not good enough. So teams go back and push the numbers higher. We did the same at

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Every Solo Agent Builder Eventually Reinvents a Worse Version of CI/CD - Sumaiya Shrabony

If you build agents alone long enough, you will independently reinvent five things software engineering solved decades ago. A way to test whether your agent's output is still correct after you changed something. A way to run it on a schedule and know if it failed. A way to prevent one skill's schema change from silentl

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Design Patterns for AI Trust: Juries, Libraries, and Agent Tiers — Alex Bauer, Upside.tech

A couple of years ago, everyone worried about AI hallucinating. We rarely hear that word anymore, but it’s just because the problem grew up. Today, your AI still doesn’t know how to say “I’m not sure.” Instead, it hands you a revenue number that’s wrong in ways that look exactly like being right. The good news is we al

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The Factory That Dreams: 39 AI Agents, No Framework - Rushabh Doshi, Machinecraft

Most AI demos are built around a toy workflow. Ira was built around a factory. This talk is the story of how a third-generation Indian machinery company built a multi-agent operating system that helps run sales, business development, recruitment, quoting, marketing, production context, email workflows, and organization

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Special Topics in Kernels, RL, Reward Hacking in Agents — Daniel Han, Unsloth

An advanced seminar (good prerequisites: Daniel's 2024 and 2025 hit AIE workshops, but all are welcome!) PLS WATCH: https://www.youtube.com/@aiDotEngineer/search?query=daniel%20han

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Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS

AI agents that book 15 guests in a 10-person room. Agents that fabricate statistics when data doesn't exist. Agents that pick wrong tools from 29 options, wasting $47 in tokens. These aren't prompt engineering failures, they're architectural limitations that need structural solutions. This hands-on workshop covers 5 re

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Claws Out: Securing and Building with OpenClaw - Nick Taylor, Pomerium

Running OpenClaw without hardening access to it is a bad idea. We'll cover how I secured my OpenClaw, McClaw, contributed trusted-proxy auth mode to the OpenClaw project, and how I use it to build tools. We're going to build something live during the talk using OpenClaw, the same way I built Clawspace, a browser-based

Researcher Details WhatsApp-to-Host Attack Chain Using Three OpenClaw Flaws

Details have emerged about three now-patched security flaws in the OpenClaw personal artificial intelligence (AI) assistant that, if successfully exploited, could enable credential theft, privilege escalation, and arbitrary code execution on the host. A brief description of the high-severity vulnerabilities is as follo

Securing our future: July 2026 progress report on Microsoft’s Secure Future Initiative

Microsoft’s latest Secure Future Initiative report outlines progress on secure foundations, AI-powered defense, and future-ready cybersecurity. The post Securing our future: July 2026 progress report on Microsoft’s Secure Future Initiative appeared first on Microsoft Security Blog .

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Understanding is the new bottleneck — Geoffrey Litt, Notion

Autonomous loops are hot, but the reality is that most agentic tasks still require human judgement. And to guide your agents well, it's not enough to just verify correctness -- you actually need to understand the work they're doing. In this talk, I'll share some techniques for staying in the loop and efficiently develo

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Should AI Engineers Still Read Code in 2026? The Z/L Continuum — Alex Volkov, ThursdAI

"How much better do the models have to get before you'll stop reading the code?" Theo asked that question recently and the replies caught fire. Mitchell Hashimoto is calling it agent psychosis. ThePrimeagen's subreddit is in open revolt about people shipping code they never read. Uncle Bob says we have about a year lef

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A Model Explosion: GPT 5.6 Sol, Grok 4.5 and Meta Muse Rewrite the Rules

What a week in AI, for real. GPT 5.6 may actually beat Claude Fable, in what you get for your money, while the new Grok 4.5 and Meta Muse Spark 1.1 make the choice even harder. Uncovering a dozen nuggets of gold you may have missed from all the viral headlines, I can also assure you you’ll learn something you didn’t kn

Top AI Coding Agent security resources — July 2026

This month exposed a harsh reality: autonomous coding agents are expanding the enterprise attack surface faster than we can patch them. Explore our digest of 19 critical resources to learn why static scanning is officially obsolete, and what your team must do to secure AI coding assistants. The post Top AI Coding Agent

GPT-5.6: Frontier intelligence that scales with your ambition

More intelligence from every token, stronger performance per dollar, and more capability on demand for your hardest work.

GPT-5.6 is now the preferred model in Microsoft 365 Copilot

Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work.

Top AI Agents Built to Catch Malicious Code Can Be Tricked Into Running It

Ask an AI coding agent to scan open-source code for security holes, and it might run the attacker's code on your own machine instead. That is the finding in a proof-of-concept published Wednesday by the AI Now Institute, an attack it calls "Friendly Fire." It works against Anthropic's Claude Code and OpenAI's Codex whe

GhostApproval Symlink Flaws Could Let Malicious Repos Run Code in AI Coding Agents

Researchers at Wiz found that a flaw in six popular AI coding assistants lets a booby-trapped code project quietly take control of a developer's computer. The assistant asks permission to edit one harmless-looking file, but the write lands on a sensitive one instead. The affected tools are Amazon Q Developer, Anthropic

Meta's New AI Image Tool Lets Others Use Your Public Instagram Photos in AI Images

Meta has announced that its new artificial intelligence (AI) model Muse Image lets people use public Instagram posts and reels to generate AI content, and it's enabled by default. "You can also @-mention Instagram accounts in the Meta AI app to bring specific Instagram profiles right into your images," the social media

UK Government Rolls Out Agentic AI Defense Plan Alongside Industry Pledge

Two announcements on July 7, 2026, demonstrate the government’s determination to improve the level of cybersecurity within the UK. The post UK Government Rolls Out Agentic AI Defense Plan Alongside Industry Pledge appeared first on SecurityWeek .

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The Golden Age of AI Engineering — Alexander Embiricos & Romain Huet & Peter Steinberger, OpenAI

OpenAI's Dev Day 2024 demo ran on an o1 preview model that could not run or check its own code, so Romain Huet had to cross his fingers live on stage. A year later, the same kind of demo ran a full camera and lighting rig, because the model could now test its own work. Alexander Embiricos and Huet use that jump to show

Designing for the inevitable: System prompt leakage and mitigations in generative AI applications

System prompts form the foundation of generative AI applications. A system prompt is a collection of instructions and operational context provided to a large language model (LLM) that shapes how the model behaves and interacts with users and tools. System prompts often contain proprietary information, including role de

Meet the 33 cybersecurity startups joining the Gemini Startup Forum

Our flagship Google for Startups program, Gemini Startup Forum: Cybersecurity, has selected its first 33 trailblazing startups.

Because 8 ≈ e², Anthropic's researcher uplift is plausibly >2x

Note: the modeling assumptions and conclusion are Thomas Kwa’s opinion, and others at METR disagree. 1 Also, the math was checked by Claude but not a second human. Introduction Anthropic’s RSI blog post reported that in Q2 2026, Anthropic contributors merged 8× as much code per day as in the 2021-2024 period. What does

Our approach to government and national security partnerships

Learn how OpenAI approaches government and national security partnerships, with principles for responsible AI use, democratic accountability, and public safety.

Introducing GPT-Live

A new generation of voice models for natural human-AI interaction, now powering ChatGPT Voice.

AI Coding Agents Found Triggering Endpoint Security Rules Built to Catch Attackers

Sophos looked at a week of its own endpoint data and found that AI coding agents such as Claude Code, Cursor, and OpenAI Codex are setting off detection rules written to catch human intruders. The agents are not malicious. They just do a lot of things that, to a behavioral engine, look exactly like an attack. Decryptin

CISA Adds 4 Actively Exploited Adobe, Joomla, and Langflow Flaws to KEV

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Tuesday added four security flaws to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation. The vulnerabilities are listed below - CVE-2026-48282 (CVSS score: 10.0) - A path traversal vulnerability in Adobe ColdFusio

GitHub Copilot Refuses Harmful Requests in Chat, Then Writes Them in Code

An AI coding assistant that refuses to answer a dangerous request in its chat box can answer it anyway if the same request is broken into small, ordinary-looking steps inside a code editor. That is the finding of a new study of GitHub Copilot by researchers Abhishek Kumar and Carsten Maple. The models they tested throu

Critical Vulnerability Exposes GitHub Agentic Workflows to Prompt Injection

Researchers show how attackers can use a crafted public GitHub Issue to trick AI-powered workflows into exposing data from private repositories without authentication. The post Critical Vulnerability Exposes GitHub Agentic Workflows to Prompt Injection appeared first on SecurityWeek .

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I Run a Fleet of AI Agents Across Three Machines. Here's What Broke. - Kyle Jaejun Lee, KRAFTON

An honest field report from my own personal fleet of AI agents, run across several machines as a daily driver. Less about any single tool, more about the journey: how things that work on one machine break once you scale to many, what it takes to keep a setup like this running, and where it's all converging. Not a compa

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Running a Chess YouTube Channel entirely by AI — Stephan Steinfurt, TNG

Daily chess puzzle explanations on YouTube: Our agent analyzes and describes chess puzzles in an accessible way - arrows included!

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Teaching Coding Agents to do Spreadsheets - Nuno Campos, Witan Labs

https://github.com/witanlabs/research-log

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Building an ACP-Compatible Agent Live — Bennet Fenner, Zed

In this session, we'll be building a coding agent that implements ACP — covering protocol design, session lifecycle management, and handling tool calls. The session ends with a live demo of the finished agent running inside Zed, showing what ACP looks like in practice from both sides of the protocol.

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Your LLM Deception Monitor Is Broken. The Fix Is in the Training Data - Sachin Kumar, LexisNexis

You fine-tune LLMs and ship them. Your evals are green, your behavioral monitors are green — and a sleeper-agent backdoor can still flip the model to harmful output on a trigger you never tested. Behavioral testing can't reach it, and the interpretability tool people reach for — joint cross-model features (crosscoders)

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Your coding agent doesn't always follow your rules — Talha Sheikh, Checkout.com

Your coding agent doesn't always follow your rules. An agent harness makes sure it does, in real-time, every time.

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From fork() to Fleet: Designing an Agent Sandbox Cloud — Abhishek Bhardwaj, OpenAI

Sandboxes unleash agents by giving them secure, fully functional computers where they can tackle diverse tasks with minimal setup. This talk explores the architectural challenges of building an agent sandbox cloud. We compare runtime isolation technologies and their trade-offs, examine persistence and storage as the ne

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Think You Can Build a Game with AI? Think Again! - Danielle An & David Hoe, Meta

With the recent development of AI, either you or your friend probably vibe coded a game using Gemini, on Three.js. But that is old news now. If everyone can do that, what is next? The next massive hit, the one that millions of people across the world will play, is just about to be born. Wanna know more? Come see this t

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Your agent is blindfolded — Johan Lajili, Poolside AI

Your agent is blindfolded. How giving it (good) eyes multiplies performance and trust!

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Shipping Production AI Inside Government — William Tarr, Ministry of Justice (DO NOT PUBLISH)

The UK Ministry of Justice Justice AI Unit is about 40 people doing work that normally takes 300. Their probation officer tool went from MVP to national rollout with two engineers in a matter of months. A team of 40 would have been the standard approach. What makes the difference is that their engineers spend two or th

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What do we build now? — Theo Browne, @t3dotgg

For the closing keynote of AIEWF2026, Theo provokes you to think wider, not just bigger. In this keynote from the AI Engineer World's Fair, developer and YouTuber Theo Browne (@t3dotgg) argues that the rapid evolution of AI models—moving from tool-calling (Sonnet 3.5) to long-running task execution (Opus 4.5) and now o

Enforce zero data retention on Amazon Bedrock with Bedrock Projects and service control policies

With the introduction of models that require data sharing with third-party providers—such as Claude Fable 5—organizations need a way to centrally enforce data retention policies. Amazon Bedrock gives you control over whether your prompts and model outputs are retained after an inference request completes. You might nee

Drive proactive security, prioritize risks with Google Threat Intelligence and Wiz ASM

To help you match your real-world exposures with real-time adversary activity, we’ve begun integrating Google Threat Intelligence with Wiz Attack Surface Management.

Public GitHub Issue Could Trick GitHub Agentic Workflows Into Leaking Private Repo Data

A public issue can trick GitHub Agentic Workflows into leaking the contents of an organization's private repositories, researchers at Noma Security have shown. The attacker needs only to open a normal-looking issue on a public repository, with no stolen credentials and no access to the organization. If that organizatio

Writer AI Flaw Could Let Agent Previews Leak Session Tokens Across Tenants

Cybersecurity researchers have disclosed details of a now-patched critical session isolation vulnerability in Writer, an enterprise generative artificial intelligence (AI) platform, that could result in cross-tenant compromise. The one-click vulnerability has been codenamed WriteOut by the Sand Security Research team.

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How we taught agents to use good retrieval - Hanna Lichtenberg, Mixedbread AI

RAG is dead. Again. Vector search is useless. All you need is BM25. Not even BM25, all you need is grep. Or maybe even just cat+ls. If you care at all about agents, you probably read a variation of this as part of your daily routine. In a way, isn't it true that semantic search is full of failure cases? And yet, in all

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POC Prison: Why agentic systems never escape the lab and how to fix that in 90 days - Luise Freese

This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndccopenhagen.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! https://www.f

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Put an Agent Inside Your App in 10 Minutes or Less with the GitHub Copilot SDK - Daniel Ward

This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndccopenhagen.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! https://www.f

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Platform Engineering in the age of Generative AI -

This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndccopenhagen.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! https://www.f

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Building an AI-Powered Personal Companion Mobile App - Gerald Versluis - NDC Copenhagen 2026

This talk was recorded at NDC Copenhagen in Copenhagen, Denmark. #ndccopenhagen #ndcconferences #developer #softwaredeveloper Attend the next NDC conference near you: https://ndcconferences.com https://ndccopenhagen.com/ Subscribe to our YouTube channel and learn every day: / @NDC Follow our Social Media! https://www.f

Top MCP security resources — July 2026

July's security digest covers the critical MCP vulnerabilities, real-world MCP exploitation, NSA's official MCP hardening guidelines. Explore these essential resources and secure our MCP servers. The post Top MCP security resources — July 2026 first appeared on Adversa AI .

5 insights from Frost & Sullivan’s 2025 Frost Radar™ for Cloud Security Posture Management

Read five key learnings from the Frost & Sullivan 2025 Frost Radar™ for CSPM to learn how CSPM is evolving from point-in-time compliance to continuous risk management. The post 5 insights from Frost & Sullivan’s 2025 Frost Radar™ for Cloud Security Posture Management appeared first on Microsoft Security Blog .

Top Agentic AI security resources — July 2026

July 2026's agentic AI security roundup: agentic zero trust whitepapers, AutoJack & other new exploits, and the newest agent defenses. The post Top Agentic AI security resources — July 2026 first appeared on Adversa AI .

Field reports from Patch the Planet

We’re running Patch the Planet , an ongoing collaboration with OpenAI that pairs Trail of Bits engineers directly with more than 30 open-source projects. Its goal is to front-run a serious problem facing open-source maintainers: highly capable models like GPT-5.5-Cyber will soon create a firehose of bug reports, and OS

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Fable 5 vs GPT 5.6 Sol: The Early Results

Fable 5 (newly re-released) vs GPT 5.6 Sol, what comparisons can we unearth? Plus, Sonnet 5, a 5% equity seizure by US Govt, the ‘largest heist’, Beetlejuice and more… Exclusive Vids in AI Insiders ($9!): https://www.patreon.com/AIExplained Chapters: 00:00 - Introduction 01:06 - Fable Timeline 02:59 - Sol Release? 06:0

Phantom Squatting: AI-Hallucinated Domains as a Software Supply Chain Vector

Unit 42 analysis of phantom squatting: attackers register domains that LLMs may hallucinate in recommendations, code, documentation, or support answers. That turns model error into a supply-chain path, especially when users or agents follow generated links without independent validation.

Microsoft named a leader in the Frost Radar for cloud and application runtime security

Frost & Sullivan names Microsoft a leader as cloud and application security converge into unified, runtime risk reduction. The post Microsoft named a leader in the Frost Radar for cloud and application runtime security appeared first on Microsoft Security Blog .

GuardFall: a universal shell injection vulnerability in open-source AI agents

Adversa AI analysis of GuardFall, a shell-injection pattern affecting open-source AI coding agents. The key issue is that agents often run shell commands with developer privileges, so old command-injection tricks can bypass modern AI safety filters if execution is not isolated and constrained.

Start Secure in the AI Era: Accelerating AI Threat Readiness with WizOS

Wiz post on AI threat readiness and secure-by-default cloud operations in a faster vulnerability environment. The value for this library is the platform-security angle: AI-era systems need inventory, exposure reduction, posture management, and rapid remediation built into normal operating practice.

Summary of METR's predeployment evaluation of GPT-5.6 Sol

METR pre-deployment evaluation summary of a frontier model, emphasizing independent assessment, capability evidence, and launch-risk considerations. Relevant to model evaluation and safety gating.

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HitchHacker's Guide to Building Secure Agents - Kenneth Yeung & Kasimir Schulz

Conference talk on secure AI agents, focusing on how tool use, identity, and execution boundaries change when assistants can act across systems.

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AI Engineer World's Fair 2026 Day 2 Livestream

Live from San Francisco, AI Engineer World’s Fair 2026 continues with Day 2 of session programming from the main stage. Watch live for keynote sessions, main-stage programming, and more from World’s Fair 2026 as AI Engineer brings another full day of AI engineering content to viewers online. Event: AI Engineer World’s

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AI Engineer World's Fair 2026 Day 3 Livestream

Live from San Francisco, AI Engineer World’s Fair 2026 wraps with the final day of main-stage programming. Watch live for keynote sessions, featured talks, and closing-day highlights from World’s Fair 2026 as AI Engineer streams the final day of the event online. Event: AI Engineer World’s Fair 2026 Date: Thursday, Jul

OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat

Agent skill marketplaces introduce supply-chain risk when third-party skills can execute actions or collect data. Relevant to vetting, provenance, and containment controls.

AI Threat Readiness Pillar 4: Detect and contain threats in real-time

Vendor guidance on operationalizing AI-enabled detection and response. Useful as an implementation signal for monitoring, containment, and response workflows around AI-influenced threats.

Daybreak: Tools for securing every organization in the world

OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.

Stop Your Legacy Infrastructure from Hijacking Your AI Agents

Earlier this month, I spoke at the Gartner Security & Risk Management Summit about a blind spot most security programs are still not accounting for - how attackers are circumventing AI security programs by using legacy infrastructure to hijack AI agents. AI adoption is moving faster than security programs can account f

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10 tips to level up your AI-assisted coding - Aleksander Stensby - NDC Copenhagen 2026

NDC Copenhagen 2026 talk on AI-assisted coding with Cursor and Claude Code, covering prompting, context engineering, testing, debugging, daily workflow integration, and MCP connections to developer tools.

Securing the future of AI agents

Google DeepMind post on security requirements for AI agents. Relevant to alignment between autonomy, permissions, sandboxing, evaluation, and operational control design.

AI and Cybersecurity – Everything You Wanted to Know, But Were Afraid to Ask

From defending networks to enabling attacks, artificial intelligence is changing every aspect of cybersecurity. Here's what dozens of experts say security leaders need to understand now. The post AI and Cybersecurity – Everything You Wanted to Know, But Were Afraid to Ask appeared first on SecurityWeek .

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Claude Fable Blocked - 11 Quiet Details on What’s Next

Claude Fable 5 banned, but what’s the bigger story. We go through 11 under-reported details, so you have the context to see what’s coming next for your use of AI. From whether the ban will last, what the possible motives are, what the model can actually do, and some wild over-extrapolations going on. Check out my fast-

Supporting Europe’s work in ensuring a trustworthy AI ecosystem

OpenAI update on European trustworthy-AI work and governance engagement. Relevant to standards, assurance, and regulatory coordination for deployed AI systems.

New Attacks Trick OpenClaw AI Agent Into Running Code and Leaking Secrets

Two security teams have shown, in separate research published this week, that OpenClaw, the popular self-hosted AI agent, can be driven to run attacker-controlled code or hand over sensitive data through ordinary-looking inputs. Imperva buried instructions inside shared contacts, vCards, and location pins that the agen

AI Threat Readiness Pillar 3: Perform AI Code Analysis Natively in Wiz

Vendor guidance on AI-assisted code analysis. Relevant as an implementation pattern for integrating code-scanning, remediation, and AI development workflows into operational security.

Investing in multi-agent AI safety research

Google DeepMind and partners announce a $10M funding call for multi-agent safety research.

Defend against frontier cyber models: Cloudflare's architecture as customer zero

Cloudflare describes architecture and operational lessons for defending against frontier cyber models. Relevant to AI-enabled threat modeling, defensive controls, and internal security readiness.

Measuring LLMs' Impact on N-day Exploits

Anthropic red-team research assessing how LLMs affect exploitation of known vulnerabilities. Relevant to cyber capability evaluation, benchmark design, and misuse risk modeling.

v0.15.1

Release notes for garak, an LLM vulnerability scanning and evaluation toolkit. Relevant to tracking new probes, detectors, and repeatable red-team workflows.

The OECD AI Policy Toolkit: Better AI policies for better lives

OECD policy toolkit for turning AI principles into practical public-policy actions. Relevant as governance and compliance context, though less technical than most library items.

Mapping AI-enabled cyber threats: Insights from the LLM ATT&CK Navigator

Anthropic and Verizon mapping of AI-enabled cyber activity to MITRE ATT&CK. Relevant to threat modeling, red-team scenario design, and structured reporting of AI-enabled operations.

Measuring LLMs' Ability to Develop Exploits

Anthropic evaluation of model performance on exploit-development benchmarks. Relevant to cyber capability measurement, safety thresholds, and model release risk.

Project Glasswing: An initial update

Anthropic reports early Project Glasswing results using Mythos Preview with infrastructure partners and external testers, including large-scale vulnerability discovery and a cautious disclosure posture.

ChatGPT Enterprise & Edu Codex release notes: May 2026

OpenAI’s Enterprise and Edu release notes describe Codex updates including goal mode, browser improvements, locked computer use, app-window context, admin analytics, and plugin sharing status.

Frontier Risk Report (February to March 2026)

METR report summarizing frontier model risk observations across February and March 2026. Relevant to external evaluation, risk monitoring, and pre-release assurance practices.

The European Union is deploying AI across strategic sectors

Explore how the EU is deploying trustworthy AI in healthcare, manufacturing, mobility and agriculture to boost competitiveness. The post The European Union is deploying AI across strategic sectors appeared first on OECD.AI .

Project Glasswing: what Mythos showed us

Cloudflare report on testing security-focused frontier models against real infrastructure code. Relevant to evaluating AI-assisted vulnerability discovery and production security workflows.

Gemini 3.5: frontier intelligence with action

Gemini 3.5 is built to help you execute complex, agentic workflows.

Memory Is a Feature. It Is Also an Attack Surface

OWASP analysis of memory and context poisoning as an agent attack surface. Relevant to persistent state, trust boundaries, and regression tests for agent memory.

Patch Tuesday, May 2026 Edition

Artificial intelligence platforms may be just as susceptible to social engineering as human beings, but they are proving remarkably good at finding security vulnerabilities in human-made computer code. That reality is on full display this month with some of the more widely-used software makers -- including Apple, Googl

Improving Bash Generation in Small Language Models with Grammar-Constrained Decoding

NVIDIA AI Red Team post on grammar-constrained decoding for Bash generation in small language models. Relevant to safer command generation and executable-output controls.

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Breaking the Black Box: Why Testing Generative AI Is Full Spectrum - Jason Ross - NDC Security 2026

NDC Security 2026 talk on testing generative AI systems, arguing that AI red teaming needs to evaluate variable behavior, safety boundaries, and AI-assisted testing methods rather than a single exploit result.

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AppSec Security: The SDLC in the age of agentic - Jon Mccoy - NDC Security 2026

NDC Security 2026 talk on securing agentic systems through reference architecture, common risk analysis, and control prioritization for autonomous agents in the software development lifecycle.

v0.15.0

garak release adding probes and detector improvements for LLM security testing. Relevant to maintaining practical red-team coverage across evolving attack techniques.

Anthropic Responsible Scaling Policy v3.2

Anthropic’s current Responsible Scaling Policy page lists v3.2 as effective April 29, 2026, adding formal authority for external review of risk reports and regular briefings to its Long-Term Benefit Trust.

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Build & deploy AI-powered apps — Paige Bailey, Google DeepMind

Got a massive idea but stuck in the "just talking about it" phase? This session cuts the fluff and dives straight into how to build and prototype at lightning speed using AI Studio Build and Antigravity for free. It breaks down Google DeepMind's AI tech stack so viewers know exactly which tools to use, when to reach fo

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Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI

A new class of small models is emerging with the ability to reliably follow instructions and call tools while running on-device under 1 GB of memory. In this talk, we'll break down how to post-train frontier small models using the LFM2.5 recipe: on-policy preference alignment, agentic reinforcement learning, and curric

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One Login to Rule Them All: Cross-App Access for MCP — Garrett Galow, WorkOS

Connecting a coding agent to multiple services often means facing a dozen OAuth consent screens, a dozen token lifecycles, and a dozen chances for something to break. Despite having Single Sign-On, users still find themselves signing in repeatedly. This talk explores how Cross-App Access leverages a three-way trust bet

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Why building eval platforms is hard — Phil Hetzel, Braintrust

An eval platform is not just a test runner. You are building shared definitions of "good," reliable data pipelines, labelling workflows, versioning, and trust in results across many teams and model changes. This session breaks down the hidden complexity, the common failure modes, and the design principles that make eva

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Building your own software factory — Eric Zakariasson, Cursor

Most of us are pair-programming with one agent and stopping there. There's a lot more on the table. This workshop is about going from one agent to many. We'll start with codebase setup, the foundational work that makes agents effective on their own. Then we'll scale up to running agents in parallel, kicking off async w

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Lessons from Scaling GitHub's Remote MCP Server — Sam Morrow, GitHub

GitHub operates one of the most heavily-utilised MCP servers in the ecosystem, with over 4 million downloads of the stdio server alone. Discover the architectural decisions, technical challenges and lessons learned while building and scaling a remote MCP server on production infrastructure. The session walks through th

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Bringing MCPs to the Enterprise — Karan Sampath, Anthropic

MCPs are often flaky, face multiple security vulnerabilities, and are generally hard to scale. Most enterprises struggle to use more than single digit numbers of MCPs due to issues with security, observability, and access control. In this talk, we'll explore the approaches and learnings we at Anthropic have been taking

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Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind

Open models are getting smaller, faster, and far more capable. In this talk, Cassidy Hardin walks through the latest advances in the Gemma family, with a focus on Gemma 4 and what it enables for developers building on-device and open-weight AI systems. She covers the architecture behind Gemma’s dense, effective, and mi

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Collaborative AI Engineering — Maggie Appleton, GitHub Next

Agentic engineering so far has been a solo story: one developer and a dozen agents moving at warp speed. But speed without thoughtful planning and team alignment is just wasting tokens. When everyone on a team is directing agents alone in their personal CLI tools with no shared context, you get duplicate work, conflict

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MCP = Mega Context Problem - Matt Carey

The best MCP server is the one you didn't have to build. At Cloudflare we have a lot of products. Our REST OpenAPI spec is over 2.3 million tokens. When teams started building MCP servers, they did what everyone does: cherry-picked important endpoints for their product, wrote some tool definitions and shipped a separat

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Full Walkthrough: Workflow for AI Coding from Planning to Production — Matt Pocock (@mattpocockuk )

A hands-on workshop covering the full lifecycle of AI-assisted development, from turning ambiguous requirements into agent-ready plans to running autonomous coding agents that ship production features. You'll learn to stress-test vague briefs into structured PRDs, slice work into thin "tracer bullet" vertical slices, a

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The End of Apps — Kitze, Sizzy.co

AI Engineer session on The End of Apps, presented by Kitze, Sizzy.co. It adds practical context for how teams are building and operating AI systems in production.

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What Do Models Still Suck At? - Peter Gostev, Arena.ai, BullshitBench

AI Engineer session on What Do Models Still Suck At? - Peter Gostev, Arena.ai, BullshitBench. It adds practical context for how teams are building and operating AI systems in production.

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GPT 5.5 Arrives, DeepSeek V4 Drops, and the Compute War Intensifies

GPT 5.5 full analysis, plus DeepSeek V4 paper highlights, comparisons with Mythos, a vibe-coded game w/ GPT Image 2, and 50 data-points you wouldn’t get from just reading the headlines. https://80000hours.org/aiexplained Check out my fast-growing (!) app, free to use, and code INSIDER15 for paid tiers: https://lmcounci

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AgentCraft: Putting the Orc in Orchestration — Ido Salomon

AI Engineer session on AgentCraft: Putting the Orc in Orchestration, presented by Ido Salomon. It adds practical context for how teams are building and operating AI systems in production.

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It Ain't Broke: Why Software Fundamentals Matter More Than Ever — Matt Pocock, AI Hero @mattpocockuk

AI Engineer session on It Ain't Broke: Why Software Fundamentals Matter More Than Ever, presented by Matt Pocock, AI Hero @mattpocockuk. It adds practical context for how teams are building and operating AI systems in production.

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Agents need more than a chat - Jacob Lauritzen, CTO Legora

AI Engineer session on Agents need more than a chat - Jacob Lauritzen, CTO Legora. It adds practical context for how teams are building and operating AI systems in production.

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How AI is changing Software Engineering: A Conversation with Gergely Orosz, @The Pragmatic Engineer

AI Engineer session on How AI is changing Software Engineering: A Conversation with Gergely Orosz, @The Pragmatic Engineer. It adds practical context for how teams are building and operating AI systems in production.

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Building Generative Image & Video models at Scale - Sander Dieleman (Veo and Nano Banana)

AI Engineer session on Building Generative Image & Video models at Scale - Sander Dieleman (Veo and Nano Banana). It adds practical context for how teams are building and operating AI systems in production.

Moving past bots vs. humans

Cloudflare article on accountability models as AI assistants and privacy proxies blur bot and human distinctions. Relevant to agent identity, abuse prevention, and web access controls.

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AIE Miami Day 2 ft. Cerebras, OpenCode, Cursor, Arize AI, and more!

April 21, 2026 - all times in EST -- 9:00am - Welcome to Day 2 -- 9:10am - David House, G2i Transforming Programming Mindsets: Case Studies in Agentic Coding Adoption -- 9:35am - Sarah Chieng, Cerebras Help! We're DEEP in (latency) Debt -- 10:00am - Lech Kalinowski, CallStack Ambient Generative AI: Deploying Latent Dif

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The New Application Layer - Malte Ubl, CTO Vercel

AI Engineer session on The New Application Layer - Malte Ubl, CTO Vercel. It adds practical context for how teams are building and operating AI systems in production.

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Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

AI Engineer session on Gemma, DeepMind's Family of Open Models, presented by Omar Sanseviero, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX — Adrien Grondin, Locally AI

AI Engineer session on Running LLMs on your iPhone: 40 tok/s Gemma 4 with MLX, presented by Adrien Grondin, Locally AI. It adds practical context for how teams are building and operating AI systems in production.

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Full Workshop: Build Your Own Deep Research Agents - Louis-François Bouchard, Paul Iusztin, Samridhi

AI Engineer session on Full Workshop: Build Your Own Deep Research Agents - Louis-François Bouchard, Paul Iusztin, Samridhi. It adds practical context for how teams are building and operating AI systems in production.

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Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @The Pragmatic Engineer

AI Engineer session on Taste & Craft: A Conversation with Tuomas Artman, CTO Linear & Gergely Orosz, @The Pragmatic Engineer. It adds practical context for how teams are building and operating AI systems in production.

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments

NVIDIA guidance on mitigating indirect AGENTS.md injection in agentic coding environments. Relevant to instruction provenance, repository trust, and sandboxed automation.

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AIE Miami Keynote & Talks ft. OpenCode. Google Deepmind, OpenAI, and more!

April 20, 2026 - all times in EST -- 9:00am - Welcome to AI Engineer Miami -- 9:10am - Gabe Greenberg, G2i Opening Remarks -- 9:15am - Dax Raad, OpenCode Keynote -- 9:40am - Dexter Horthy, HumanLayer Everything We got Wrong About RPI -- 10:05am - Max Stoiber, OpenAI Coming Soon -- 10:30am - Morning Break -- 11:00am - B

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Code Mode: Let the Code do the Talking - Sunil Pai, Cloudflare

AI Engineer session on Code Mode: Let the Code do the Talking - Sunil Pai, Cloudflare. It adds practical context for how teams are building and operating AI systems in production.

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The Future of MCP — David Soria Parra, Anthropic

AI Engineer session on The Future of MCP, presented by David Soria Parra, Anthropic. It adds practical context for how teams are building and operating AI systems in production.

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Frontier AI and the Future of Intelligence — Raia Hadsell, VP of Research, Google DeepMind

AI Engineer session on Frontier AI and the Future of Intelligence, presented by Raia Hadsell, VP of Research, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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"The moments where you want to skip thinking are EXACTLY where thinking matters most" — Earendil

AI Engineer session on "The moments where you want to skip thinking are EXACTLY where thinking matters most", presented by Earendil. It adds practical context for how teams are building and operating AI systems in production.

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State of the Claw — Peter Steinberger

AI Engineer session on State of the Claw, presented by Peter Steinberger. It adds practical context for how teams are building and operating AI systems in production.

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Claude Opus 4.7 - A New Frontier, in Performance … and Drama

This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Building pi in a World of Slop — Mario Zechner

AI Engineer session on Building pi in a World of Slop, presented by Mario Zechner. It adds practical context for how teams are building and operating AI systems in production.

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Harness Engineering: How to Build Software When Humans Steer, Agents Execute — Ryan Lopopolo, OpenAI

AI Engineer session on Harness Engineering: How to Build Software When Humans Steer, Agents Execute, presented by Ryan Lopopolo, OpenAI. It adds practical context for how teams are building and operating AI systems in production.

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$1 AI Guardrails: The Unreasonable Effectiveness of Finetuned ModernBERTs — Diego Carpentero

AI Engineer session on $1 AI Guardrails: The Unreasonable Effectiveness of Finetuned ModernBERTs, presented by Diego Carpentero. It adds practical context for how teams are building and operating AI systems in production.

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Paperclip: Open Source Human Control Plane for AI Labor — Dotta Bippa

AI Engineer session on Paperclip: Open Source Human Control Plane for AI Labor, presented by Dotta Bippa. It adds practical context for how teams are building and operating AI systems in production.

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Attacking AI - Jason Haddix - NDC Security 2026

Attacking AI is a one of a kind session releasing case studies, tactics, and methodology from Arcanum’s AI assessments in 2024 and 2025. While most AI assessment material focuses on academic AI red team content, “Attacking AI” is focused on the task of assessing AI enabled systems.

FinBot CTF Is Live: A Hands-On Companion to the OWASP GenAI Security Project

Announcement of a hands-on CTF for agentic AI security in a financial-services scenario. Relevant to training, scenario design, and practical red-team exercises.

OWASP GenAI Exploit Round-up Report Q1 2026

OWASP roundup of reported GenAI incidents and exploit patterns from Q1 2026. Relevant as a threat-intelligence reference for risk tracking and test-case design.

Patch Tuesday, April 2026 Edition

Krebs on Security covers April 2026 patching activity, including a record-sized Microsoft release and active exploitation notes.

Designing transparency for government AI: Insights from the UK’s Algorithmic Transparency Recording Standard initiative

How the UK’s ATRS strengthens algorithmic transparency, public trust and accountability in government AI. The post Designing transparency for government AI: Insights from the UK’s Algorithmic Transparency Recording Standard initiative appeared first on OECD.AI .

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From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work — Sandipan Bhaumik

AI Engineer session on From Chaos to Choreography: Multi-Agent Orchestration Patterns That Actually Work, presented by Sandipan Bhaumik. It adds practical context for how teams are building and operating AI systems in production.

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OpenRAG: An open-source stack for RAG — Phil Nash

AI Engineer session on OpenRAG: An open-source stack for RAG, presented by Phil Nash. It adds practical context for how teams are building and operating AI systems in production.

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Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci

AI Engineer session on Let LLMs Wander: Engineering RL Environments, presented by Stefano Fiorucci. It adds practical context for how teams are building and operating AI systems in production.

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Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflare

AI Engineer session on Why, and how you need to sandbox AI-Generated Code?, presented by Harshil Agrawal, Cloudflare. It adds practical context for how teams are building and operating AI systems in production.

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Agentic Engineering: Working With AI, Not Just Using It — Brendan O'Leary

AI Engineer session on Agentic Engineering: Working With AI, Not Just Using It, presented by Brendan O'Leary. It adds practical context for how teams are building and operating AI systems in production.

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Your Insecure MCP Server Won't Survive Production — Tun Shwe, Lenses

AI Engineer session on Your Insecure MCP Server Won't Survive Production, presented by Tun Shwe, Lenses. It adds practical context for how teams are building and operating AI systems in production.

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Contact Center Voice AI: Low-Latency Intelligence Extraction from Messy Audio Streams — Dippu Singh

AI Engineer session on Contact Center Voice AI: Low-Latency Intelligence Extraction from Messy Audio Streams, presented by Dippu Singh. It adds practical context for how teams are building and operating AI systems in production.

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Bending a Public MCP Server Without Breaking It — Nimrod Hauser, Baz

AI Engineer session on Bending a Public MCP Server Without Breaking It, presented by Nimrod Hauser, Baz. It adds practical context for how teams are building and operating AI systems in production.

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One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca

AI Engineer session on One Registry to Rule them All - Sonny Merla, Mauro Luchetti, & Mattia Redaelli, Quantyca. It adds practical context for how teams are building and operating AI systems in production.

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Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI

AI Engineer session on Judge the Judge: Building LLM Evaluators That Actually Work with GEPA, presented by Mahmoud Mabrouk, Agenta AI. It adds practical context for how teams are building and operating AI systems in production.

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AI Didn’t Kill the Web, It Moved in! — Olivier Leplus (AWS) & Yohan Lasorsa (Microsoft)

AI Engineer session on AI Didn’t Kill the Web, It Moved in!, presented by Olivier Leplus (AWS) & Yohan Lasorsa (Microsoft). It adds practical context for how teams are building and operating AI systems in production.

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Running LLMs locally: Practical LLM Performance on DGX Spark — Mozhgan Kabiri chimeh, NVIDIA

AI Engineer session on Running LLMs locally: Practical LLM Performance on DGX Spark, presented by Mozhgan Kabiri chimeh, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.

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Platforms for Humans and Machines: Engineering for the Age of Agents — Juan Herreros Elorza

AI Engineer session on Platforms for Humans and Machines: Engineering for the Age of Agents, presented by Juan Herreros Elorza. It adds practical context for how teams are building and operating AI systems in production.

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Cognitive Exhaust Fumes, or: Read-Only AI Is Underrated — Šimon Podhajský, Head of AI, Waypoint

AI Engineer session on Cognitive Exhaust Fumes, or: Read-Only AI Is Underrated, presented by Šimon Podhajský, Head of AI, Waypoint. It adds practical context for how teams are building and operating AI systems in production.

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Claude Mythos: Highlights from 244-page Release

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

Assessing Claude Mythos Preview’s cybersecurity capabilities

Claude Mythos Preview is a new general-purpose language model that is strikingly capable at computer security tasks. This post provides technical details for researchers and practitioners who want to understand exactly how we have been testing this model, and what we have found over the past month. We hope this will sh

NIST AI RMF and Critical Infrastructure Profile

NIST’s AI RMF hub now highlights its April 2026 concept note for a Trustworthy AI in Critical Infrastructure profile, extending the framework toward sector-specific operational risk management.

v0.14.1

garak release with new generators, probe metadata, and evaluation workflow improvements. Relevant to maintaining repeatable LLM security testing coverage.

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Two AI Models Set to “stir government urgency”, But Will This Challenge Undo Them?

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle

Participatory AI often stops at consultation. Why governance infrastructure, community authority and lifecycle oversight are essential for trustworthy AI. The post To be truly participative, stakeholder involvement should follow an AI system’s entire lifecycle appeared first on OECD.AI .

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Hijacking Google's CI/CD Through Prompt Injection: The New Era of AI-Based Exploits - Mackenzie Jackson

NDC Security 2026 talk on prompt injection in CI/CD and automation systems, including AI agents with access to shell commands, GitHub or GitLab tokens, issue editing, build workflows, and privileged pipeline context.

Technologies and Use Cases for Smart Standards

The rapid development and deployment of emerging technologies such as artificial intelligence, blockchain, and the internet of things is driving an increased need for standards that can keep pace with the accelerating rate of technological change. As

Why AI Sandboxes matter for responsible innovation and public trust

AI regulatory sandboxes in AI governance: benefits, design, global examples and policy insights to foster innovation, trust and compliance. The post Why AI Sandboxes matter for responsible innovation and public trust appeared first on OECD.AI .

Detecting and analyzing prompt abuse in AI tools

Microsoft Incident Response explains how to detect prompt abuse using logging, telemetry, and incident response workflows.

Designing AI agents to resist prompt injection

OpenAI frames prompt injection as an agent-security problem that increasingly resembles social engineering rather than simple string matching.

OpenAI to acquire Promptfoo

OpenAI announced plans to acquire Promptfoo, highlighting automated AI security testing, red teaming, and evaluation as core enterprise requirements.

How AI Assistants are Moving the Security Goalposts

AI-based assistants or "agents" -- autonomous programs that have access to the user's computer, files, online services and can automate virtually any task -- are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertiv

Reverse engineering Claude's CVE-2026-2796 exploit

This post dives deep into how Claude wrote an exploit for one of the vulnerabilities it found in Firefox.

Partnering with Mozilla to improve Firefox’s security

In a collaboration with researchers at Mozilla, Claude Opus 4.6 discovered 22 Firefox vulnerabilities over the course of two weeks.

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What the New ChatGPT 5.4 Means for the World

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

Deadline extension 20 March: Global call for ‘Governing with Artificial Intelligence’: Share your initiatives and insights on AI-driven innovation in government

OECD launches a Global Call for Governing with AI, inviting governments to share AI use cases, policy initiatives, and implementation tools to support trustworthy AI in public administration. The post Deadline extension 20 March: Global call for ‘Governing with Artificial Intelligence’: Share your initiativ

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Deadline Day for Autonomous AI Weapons & Mass Surveillance

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Gemini 3.1 Pro and the Downfall of Benchmarks: Welcome to the Vibe Era of AI

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

The OECD’s new responsible AI guidance: A compass for businesses in a complex terrain

OECD Due Diligence Guidance for Responsible AI helps businesses manage AI risks, meet global standards and build trustworthy AI value chains. The post The OECD’s new responsible AI guidance: A compass for businesses in a complex terrain appeared first on OECD.AI .

Turning AI ambition into action: How the OECD is engaging at India’s AI Impact Summit

OECD at the India AI Impact Summit 2026: Advancing transparency, open-source tools and inclusive AI governance in practice The post Turning AI ambition into action: How the OECD is engaging at India’s AI Impact Summit appeared first on OECD.AI .

MITRE ATLAS OpenClaw Investigation Discovers New and Likeliest Techniques

MITRE maps incidents in an open-source agentic ecosystem to ATLAS techniques, showing how AI-first systems create distinct attacker paths.

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The Two Best AI Models/Enemies Just Got Released Simultaneously

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

LLM-discovered 0-days

AI models can now find high-severity vulnerabilities at scale. This is a moment to empower defenders. We're now using Claude to find and help fix vulnerabilities in open source software.

Practical Security Guidance for Sandboxing Agentic Workflows and Managing Execution Risk

NVIDIA guidance on sandboxing agentic workflows and managing execution risk. Relevant to tool isolation, approvals, filesystem boundaries, and operational controls for coding agents.

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Doors of (AI)pportunity: The Front and Backdoors of LLMs - Kasimir Schulz & Kenneth Yeung

NDC AI 2025 talk on LLM frontdoors and backdoors, jailbreak techniques, control-token abuse, local model compromise, and how attackers or insiders can manipulate model behavior.

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How to Break AI Systems (Before Someone Else Does) - Gary Lopez - NDC AI 2025

NDC AI 2025 talk on breaking AI systems in production, covering prompt injection, hidden prompts in documents, agent goal manipulation, privacy exposure, and practical AI red-team testing methods.

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Claude AI Co-founder Publishes 4 Big Claims about Near Future: Breakdown

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Introduction to AI Security - Jim Manico - NDC AI 2025

NDC AI 2025 talk introducing AI security for developers, including model lifecycle, training data, secure integration, data leakage, prompt injection, adversarial inputs, and model bias.

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Prompt-Jacking: The Rise of a New Supply Chain Risk - Kasimir Schulz & Kenneth Yeung

NDC AI 2025 talk on prompt-jacking in AI coding assistants, using Cursor vulnerability examples, hidden text in codebases, agentic behavior shaping, data exfiltration, and supply-chain style propagation.

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Keynote: Can you trust your (large language) model? - Jodie Burchell - NDC AI 2025

NDC AI 2025 keynote on whether machine-learning and LLM outputs can be trusted, and why black-box model behavior makes performance assessment and validation difficult.

AI Act

The European Commission’s AI Act hub centralizes the EU’s risk-based AI compliance framework, implementation guidance, and enforcement resources.

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DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners

AI Engineer session on DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners. It adds practical context for how teams are building and operating AI systems in production.

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Shipping AI That Works: An Evaluation Framework for PMs — Aman Khan, Arize

AI Engineer session on Shipping AI That Works: An Evaluation Framework for PMs, presented by Aman Khan, Arize. It adds practical context for how teams are building and operating AI systems in production.

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Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect

AI Engineer session on Your MCP Server is Bad (and you should feel bad) - Jeremiah Lowin, Prefect. It adds practical context for how teams are building and operating AI systems in production.

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Spec-Driven Development: Agentic Coding at FAANG Scale and Quality — Al Harris, Amazon Kiro

AI Engineer session on Spec-Driven Development: Agentic Coding at FAANG Scale and Quality, presented by Al Harris, Amazon Kiro. It adds practical context for how teams are building and operating AI systems in production.

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Jack Morris: Stuffing Context is not Memory, Updating Weights is

AI Engineer session on Jack Morris: Stuffing Context is not Memory, Updating Weights is. It adds practical context for how teams are building and operating AI systems in production.

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AGI: The Path Forward — Jason Warner & Eiso Kant, Poolside

AI Engineer session on AGI: The Path Forward, presented by Jason Warner & Eiso Kant, Poolside. It adds practical context for how teams are building and operating AI systems in production.

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How Claude Code Works - Jared Zoneraich, PromptLayer

AI Engineer session on How Claude Code Works - Jared Zoneraich, PromptLayer. It adds practical context for how teams are building and operating AI systems in production.

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Why Agent Hype can fall short of reality — Joel Becker, METR

AI Engineer session on Why Agent Hype can fall short of reality, presented by Joel Becker, METR. It adds practical context for how teams are building and operating AI systems in production.

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Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize

AI Engineer session on Build a Prompt Learning Loop - SallyAnn DeLucia & Fuad Ali, Arize. It adds practical context for how teams are building and operating AI systems in production.

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Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic

AI Engineer session on Claude Agent SDK [Full Workshop], presented by Thariq Shihipar, Anthropic. It adds practical context for how teams are building and operating AI systems in production.

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Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0

AI Engineer session on Identity for AI Agents - Patrick Riley & Carlos Galan, Auth0. It adds practical context for how teams are building and operating AI systems in production.

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How METR measures Long Tasks and Experienced Open Source Dev Productivity - Joel Becker, METR

AI Engineer session on How METR measures Long Tasks and Experienced Open Source Dev Productivity - Joel Becker, METR. It adds practical context for how teams are building and operating AI systems in production.

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OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal

AI Engineer session on OpenAI + @Temporalio : Building Durable, Production Ready Agents - Cornelia Davis, Temporal. It adds practical context for how teams are building and operating AI systems in production.

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Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel

AI Engineer session on Building durable Agents with Workflow DevKit & AI SDK - Peter Wielander, Vercel. It adds practical context for how teams are building and operating AI systems in production.

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Welcome to AIE CODE - Jed Borovik, Google DeepMind

AI Engineer session on Welcome to AIE CODE - Jed Borovik, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands

AI Engineer session on Automating Large Scale Refactors with Parallel Agents - Robert Brennan, OpenHands. It adds practical context for how teams are building and operating AI systems in production.

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Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence)

AI Engineer session on Building Intelligent Research Agents with Manus - Ivan Leo, Manus AI (now Meta Superintelligence). It adds practical context for how teams are building and operating AI systems in production.

AI Models on Realistic Cyber Ranges

In a recent evaluation of AI models’ cyber capabilities, current Claude models can now succeed at multistage attacks on networks with dozens of hosts using only standard, open-source tools, instead of the custom tools needed by previous generations.

Finding Bugs with Claude and Property-based Testing

Ensuring that programs are bug-free is one of the most challenging aspects of software engineering. We developed an agent that can efficiently identify bugs in large software projects. Our agent infers general properties of code that should be true, and then applies property-based testing. After extensive manual valida

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Anthropic: Our AI just created a tool that can ‘automate all white collar work’, Me:

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

Experimenting with AI to Defend Critical Infrastructure

AI could help defenders of critical infrastructure identify the vulnerabilities that attackers might exploit—and close them before they are exploited. Anthropic has partnered with Pacific Northwest National Laboratory (PNNL) to explore this defensive application of AI, demonstrating both the potential of AI-accelerated

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Paying Engineers like Salespeople — Arman Hezarkhani, Tenex

AI Engineer session on Paying Engineers like Salespeople, presented by Arman Hezarkhani, Tenex. It adds practical context for how teams are building and operating AI systems in production.

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Hacking Subagents Into Codex CLI — Brian John, Betterup

AI Engineer session on Hacking Subagents Into Codex CLI, presented by Brian John, Betterup. It adds practical context for how teams are building and operating AI systems in production.

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AI Kernel Generation: What's working, what's not, what's next — Natalie Serrino, Gimlet Labs

AI Engineer session on AI Kernel Generation: What's working, what's not, what's next, presented by Natalie Serrino, Gimlet Labs. It adds practical context for how teams are building and operating AI systems in production.

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2026: The Year The IDE Died — Steve Yegge & Gene Kim, Authors, Vibe Coding

AI Engineer session on 2026: The Year The IDE Died, presented by Steve Yegge & Gene Kim, Authors, Vibe Coding. It adds practical context for how teams are building and operating AI systems in production.

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Don't Build Agents, Build Skills Instead — Barry Zhang & Mahesh Murag, Anthropic

AI Engineer session on Don't Build Agents, Build Skills Instead, presented by Barry Zhang & Mahesh Murag, Anthropic. It adds practical context for how teams are building and operating AI systems in production.

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Defying Gravity - Kevin Hou, Google DeepMind

AI Engineer session on Defying Gravity - Kevin Hou, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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Hard Won Lessons from Building Effective AI Coding Agents — Nik Pash, Cline

AI Engineer session on Hard Won Lessons from Building Effective AI Coding Agents, presented by Nik Pash, Cline. It adds practical context for how teams are building and operating AI systems in production.

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No More Slop — swyx

AI Engineer session on No More Slop, presented by swyx. It adds practical context for how teams are building and operating AI systems in production.

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From Vibe Coding To Vibe Engineering — Kitze, Sizzy

AI Engineer session on From Vibe Coding To Vibe Engineering, presented by Kitze, Sizzy. It adds practical context for how teams are building and operating AI systems in production.

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The Cure for the Vibe Coding Hangover — Corey J. Gallon, Rexmore

AI Engineer session on The Cure for the Vibe Coding Hangover, presented by Corey J. Gallon, Rexmore. It adds practical context for how teams are building and operating AI systems in production.

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Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study) — Yegor Denisov-Blanch, Stanford

AI Engineer session on Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study), presented by Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.

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Context Engineering: Connecting the Dots with Graphs — Stephen Chin, Neo4j

AI Engineer session on Context Engineering: Connecting the Dots with Graphs, presented by Stephen Chin, Neo4j. It adds practical context for how teams are building and operating AI systems in production.

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Small Bets, Big Impact Building GenBI at a Fortune 100 — Asaf Bord, Northwestern Mutual

AI Engineer session on Small Bets, Big Impact Building GenBI at a Fortune 100, presented by Asaf Bord, Northwestern Mutual. It adds practical context for how teams are building and operating AI systems in production.

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Dispatch from the Future: building an AI-native Company — Dan Shipper, Every, AI & I

AI Engineer session on Dispatch from the Future: building an AI-native Company, presented by Dan Shipper, Every, AI & I. It adds practical context for how teams are building and operating AI systems in production.

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The 3 Pillars of Autonomy — Michele Catasta, Replit

AI Engineer session on The 3 Pillars of Autonomy, presented by Michele Catasta, Replit. It adds practical context for how teams are building and operating AI systems in production.

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Context Platform Engineering to Reduce Token Anxiety — Val Bercovici, WEKA

AI Engineer session on Context Platform Engineering to Reduce Token Anxiety, presented by Val Bercovici, WEKA. It adds practical context for how teams are building and operating AI systems in production.

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Leadership in AI Assisted Engineering — Justin Reock, DX (acq. Atlassian)

AI Engineer session on Leadership in AI Assisted Engineering, presented by Justin Reock, DX (acq. Atlassian). It adds practical context for how teams are building and operating AI systems in production.

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Infra that fixes itself, thanks to coding agents — Mahmoud Abdelwahab, Railway

AI Engineer session on Infra that fixes itself, thanks to coding agents, presented by Mahmoud Abdelwahab, Railway. It adds practical context for how teams are building and operating AI systems in production.

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What We Learned Deploying AI within Bloomberg’s Engineering Organization — Lei Zhang, Bloomberg

AI Engineer session on What We Learned Deploying AI within Bloomberg’s Engineering Organization, presented by Lei Zhang, Bloomberg. It adds practical context for how teams are building and operating AI systems in production.

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AI Copilots for Tech Architecture: The Highest-ROI Use Case You’re Not Building — Boris B., Catio

AI Engineer session on AI Copilots for Tech Architecture: The Highest-ROI Use Case You’re Not Building, presented by Boris B., Catio. It adds practical context for how teams are building and operating AI systems in production.

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Welcome to AIE LEAD - Alex Lieberman, Tenex

AI Engineer session on Welcome to AIE LEAD - Alex Lieberman, Tenex. It adds practical context for how teams are building and operating AI systems in production.

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Your Support Team Should Ship Code — Lisa Orr, Zapier

AI Engineer session on Your Support Team Should Ship Code, presented by Lisa Orr, Zapier. It adds practical context for how teams are building and operating AI systems in production.

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Moving away from Agile: What's Next — Martin Harrysson & Natasha Maniar, McKinsey & Company

AI Engineer session on Moving away from Agile: What's Next, presented by Martin Harrysson & Natasha Maniar, McKinsey & Company. It adds practical context for how teams are building and operating AI systems in production.

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Making Codebases Agent Ready — Eno Reyes, Factory AI

AI Engineer session on Making Codebases Agent Ready, presented by Eno Reyes, Factory AI. It adds practical context for how teams are building and operating AI systems in production.

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Government Agents: AI Agents Meet Tough Regulations — Mark Myshatyn, Los Alamos National Lab

AI Engineer session on Government Agents: AI Agents Meet Tough Regulations, presented by Mark Myshatyn, Los Alamos National Lab. It adds practical context for how teams are building and operating AI systems in production.

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What Data from 20m Pull Requests Reveal About AI Transformation — Nick Arcolano, Jellyfish

AI Engineer session on What Data from 20m Pull Requests Reveal About AI Transformation, presented by Nick Arcolano, Jellyfish. It adds practical context for how teams are building and operating AI systems in production.

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RL Environments at Scale — Will Brown, Prime Intellect

AI Engineer session on RL Environments at Scale, presented by Will Brown, Prime Intellect. It adds practical context for how teams are building and operating AI systems in production.

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Katelyn Lesse — Evolving Claude APIs for Agents, Anthropic

AI Engineer session on Katelyn Lesse, presented by Evolving Claude APIs for Agents, Anthropic. It adds practical context for how teams are building and operating AI systems in production.

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The Infinite Software Crisis — Jake Nations, Netflix

AI Engineer session on The Infinite Software Crisis, presented by Jake Nations, Netflix. It adds practical context for how teams are building and operating AI systems in production.

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AI Consulting in Practice — NLW, Superintelligent, @AIDailyBrief⁩

AI Engineer session on AI Consulting in Practice, presented by NLW, Superintelligent, @AIDailyBrief⁩. It adds practical context for how teams are building and operating AI systems in production.

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Building Cursor Composer — Lee Robinson, Cursor

AI Engineer session on Building Cursor Composer, presented by Lee Robinson, Cursor. It adds practical context for how teams are building and operating AI systems in production.

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Building in the Gemini Era — Kat Kampf & Ammaar Reshi, Google DeepMind

AI Engineer session on Building in the Gemini Era, presented by Kat Kampf & Ammaar Reshi, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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Enterprise Deep Research: The Next Killer App for Enterprise AI — Ofer Mendelevitch, Vectara

AI Engineer session on Enterprise Deep Research: The Next Killer App for Enterprise AI, presented by Ofer Mendelevitch, Vectara. It adds practical context for how teams are building and operating AI systems in production.

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From Stateless Nightmares to Durable Agents — Samuel Colvin, Pydantic

AI Engineer session on From Stateless Nightmares to Durable Agents, presented by Samuel Colvin, Pydantic. It adds practical context for how teams are building and operating AI systems in production.

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Amp Code: Next Generation AI Coding — Beyang Liu, Amp Code

AI Engineer session on Amp Code: Next Generation AI Coding, presented by Beyang Liu, Amp Code. It adds practical context for how teams are building and operating AI systems in production.

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VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response — Suman Debnath, AWS

AI Engineer session on VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response, presented by Suman Debnath, AWS. It adds practical context for how teams are building and operating AI systems in production.

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Developing Taste in Coding Agents: Applied Meta Neuro-Symbolic RL — Ahmad Awais, CommandCode

AI Engineer session on Developing Taste in Coding Agents: Applied Meta Neuro-Symbolic RL, presented by Ahmad Awais, CommandCode. It adds practical context for how teams are building and operating AI systems in production.

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Minimax M2: Building the #1 Open Model — Olive Song, MiniMax

AI Engineer session on Minimax M2: Building the #1 Open Model, presented by Olive Song, MiniMax. It adds practical context for how teams are building and operating AI systems in production.

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Efficient Reinforcement Learning — Rhythm Garg & Linden Li, Applied Compute

AI Engineer session on Efficient Reinforcement Learning, presented by Rhythm Garg & Linden Li, Applied Compute. It adds practical context for how teams are building and operating AI systems in production.

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From Arc to Dia: Lessons learned building AI Browsers — Samir Mody, The Browser Company of New York

AI Engineer session on From Arc to Dia: Lessons learned building AI Browsers, presented by Samir Mody, The Browser Company of New York. It adds practical context for how teams are building and operating AI systems in production.

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Agent Reinforcement Fine Tuning — Will Hang & Cathy Zhou, OpenAI

AI Engineer session on Agent Reinforcement Fine Tuning, presented by Will Hang & Cathy Zhou, OpenAI. It adds practical context for how teams are building and operating AI systems in production.

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The Unreasonable Effectiveness of Prompt Learning — Aparna Dhinakaran, Arize

AI Engineer session on The Unreasonable Effectiveness of Prompt Learning, presented by Aparna Dhinakaran, Arize. It adds practical context for how teams are building and operating AI systems in production.

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Compilers in the Age of LLMs — Yusuf Olokoba, Muna

AI Engineer session on Compilers in the Age of LLMs, presented by Yusuf Olokoba, Muna. It adds practical context for how teams are building and operating AI systems in production.

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Vision: Zero Bugs — Johann Schleier-Smith, Temporal

AI Engineer session on Vision: Zero Bugs, presented by Johann Schleier-Smith, Temporal. It adds practical context for how teams are building and operating AI systems in production.

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Agents are Robots Too: What Self-Driving Taught Me About Building Agents — Jesse Hu, Abundant

AI Engineer session on Agents are Robots Too: What Self-Driving Taught Me About Building Agents, presented by Jesse Hu, Abundant. It adds practical context for how teams are building and operating AI systems in production.

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Developer Experience in the Age of AI Coding Agents — Max Kanat-Alexander, Capital One

AI Engineer session on Developer Experience in the Age of AI Coding Agents, presented by Max Kanat-Alexander, Capital One. It adds practical context for how teams are building and operating AI systems in production.

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The State of AI Code Quality: Hype vs Reality — Itamar Friedman, Qodo

AI Engineer session on The State of AI Code Quality: Hype vs Reality, presented by Itamar Friedman, Qodo. It adds practical context for how teams are building and operating AI systems in production.

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No Vibes Allowed: Solving Hard Problems in Complex Codebases — Dex Horthy, HumanLayer

AI Engineer session on No Vibes Allowed: Solving Hard Problems in Complex Codebases, presented by Dex Horthy, HumanLayer. It adds practical context for how teams are building and operating AI systems in production.

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Code World Model: Building World Models for Computation — Jacob Kahn, FAIR Meta

AI Engineer session on Code World Model: Building World Models for Computation, presented by Jacob Kahn, FAIR Meta. It adds practical context for how teams are building and operating AI systems in production.

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Coding Evals: From Code Snippets to Codebases — Naman Jain, Cursor

AI Engineer session on Coding Evals: From Code Snippets to Codebases, presented by Naman Jain, Cursor. It adds practical context for how teams are building and operating AI systems in production.

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Proactive Agents — Kath Korevec, Google Labs

AI Engineer session on Proactive Agents, presented by Kath Korevec, Google Labs. It adds practical context for how teams are building and operating AI systems in production.

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Future-Proof Coding Agents — Bill Chen & Brian Fioca, OpenAI

AI Engineer session on Future-Proof Coding Agents, presented by Bill Chen & Brian Fioca, OpenAI. It adds practical context for how teams are building and operating AI systems in production.

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Music from AIE Code Summit - Instrumentals

AI Engineer session on Music from AIE Code Summit - Instrumentals. It adds practical context for how teams are building and operating AI systems in production.

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Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents — Alex Gavrilescu, Funstage

AI Engineer session on Backlog.md: Terminal Kanban Board for Managing Tasks with AI Agents, presented by Alex Gavrilescu, Funstage. It adds practical context for how teams are building and operating AI systems in production.

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The Unbearable Lightness of Agent Optimization — Alberto Romero, Jointly

AI Engineer session on The Unbearable Lightness of Agent Optimization, presented by Alberto Romero, Jointly. It adds practical context for how teams are building and operating AI systems in production.

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What the Freakiness of 2025 in AI Tells Us About 2026

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

Continuously hardening ChatGPT Atlas against prompt injection attacks

OpenAI describes using automated red teaming and reinforcement learning to discover agent prompt injection attacks before they appear in the wild.

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Gemini Exponential, Demis Hassabis' ‘Proto-AGI’ coming, but …

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

Project Vend: Phase Two

In June, we revealed that we'd set up a small shop in our San Francisco office run by an AI shopkeeper. It did not do particularly well. We made some adjustments for phase two of Project Vend. The idea of an AI running a business doesn't seem as far-fetched as it once did. But the gap between 'capable' and 'completely

Why insurance companies should encourage solid AI risk management instead of excluding it

AI is deployed in nearly every industry, and many associated risks are now sharply in focus. As these risks become more consequential, businesses look at insurance coverage. Yet, recent news shows that some major insurance providers, such as AIG, Great American, and WR Berkley, have recently sought permission

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GPT 5.2: OpenAI Strikes Back

This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.

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You Are Being Told Contradictory Things About AI

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

Building a Production-Ready AI Security Foundation

Google Cloud outlines a defense-in-depth view of AI security spanning application controls, data protections, and infrastructure isolation.

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Beyond the Prompt: Evaluating, Testing, and Securing LLM Applications - Mete Atamel

NDC Copenhagen talk on evaluating, testing, and securing LLM applications, including RAG changes, prompt-injection resilience, harmful-response guardrails, Promptfoo, DeepEval, Vertex AI Evaluation, and LLM Guard.

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Z.ai GLM 4.6: What We Learned From 100 Million Open Source Downloads — Yuxuan Zhang, Z.ai

AI Engineer session on Z.ai GLM 4.6: What We Learned From 100 Million Open Source Downloads, presented by Yuxuan Zhang, Z.ai. It adds practical context for how teams are building and operating AI systems in production.

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AI changes *Nothing* — Dax Raad, OpenCode

AI Engineer session on AI changes *Nothing*, presented by Dax Raad, OpenCode. It adds practical context for how teams are building and operating AI systems in production.

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Nano Banana Pro: But Did You Catch These 10 Details?

This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Gemini 3 Pro: Breakdown

This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Is GPT-5.1 Really an Upgrade? But Models Can Auto-Hack Govts, so … there’s that

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Bubble or No Bubble, AI Keeps Progressing (ft. Relentless Learning + Introspection)

This AI Explained video reviews a major AI development through the lens of multimodal generation and provenance. It is useful context for AI engineering, evaluation, governance, and operational risk.

Understanding prompt injections: a frontier security challenge

An accessible explanation of prompt injection risk in real AI products, including how third-party content can redirect or manipulate agent behavior.

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Did you miss these 2 AI stories? A *Real* LLM-crafted Breakthrough + Continual Learning Blocked?

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Sora 2 - It will only get more realistic from here

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

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OpenAI Tests if GPT-5 Can Automate Your Job - 4 Unexpected Findings

This AI Explained video reviews a major AI development through the lens of AI safety and model behavior. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Building an Agentic Platform — Ben Kus, CTO Box

AI Engineer session on Building an Agentic Platform, presented by Ben Kus, CTO Box. It adds practical context for how teams are building and operating AI systems in production.

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Rishabh Garg, Tesla Optimus — Challenges in High Performance Robotics Systems

AI Engineer session on Rishabh Garg, Tesla Optimus, presented by Challenges in High Performance Robotics Systems. It adds practical context for how teams are building and operating AI systems in production.

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ChatGPT Can Now Call the Cops, but 'Wait till 2100 for Full Job Impact' - Altman

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

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An ‘AI Bubble’? What Altman Actually said, the Facts and Nano Banana

This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Practical tactics to build reliable AI apps — Dmitry Kuchin, Multinear

AI Engineer session on Practical tactics to build reliable AI apps, presented by Dmitry Kuchin, Multinear. It adds practical context for how teams are building and operating AI systems in production.

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How BlackRock Builds Custom Knowledge Apps at Scale — Vaibhav Page & Infant Vasanth, BlackRock

AI Engineer session on How BlackRock Builds Custom Knowledge Apps at Scale, presented by Vaibhav Page & Infant Vasanth, BlackRock. It adds practical context for how teams are building and operating AI systems in production.

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Scaling AI Agents Without Breaking Reliability — Preeti Somal, Temporal

AI Engineer session on Scaling AI Agents Without Breaking Reliability, presented by Preeti Somal, Temporal. It adds practical context for how teams are building and operating AI systems in production.

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Why ChatGPT Keeps Interrupting You — Dr. Tom Shapland, LiveKit

AI Engineer session on Why ChatGPT Keeps Interrupting You, presented by Dr. Tom Shapland, LiveKit. It adds practical context for how teams are building and operating AI systems in production.

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Infrastructure for the Singularity — Jesse Han, Morph

AI Engineer session on Infrastructure for the Singularity, presented by Jesse Han, Morph. It adds practical context for how teams are building and operating AI systems in production.

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State of Startups and AI 2025 - Sarah Guo, Conviction

AI Engineer session on State of Startups and AI 2025 - Sarah Guo, Conviction. It adds practical context for how teams are building and operating AI systems in production.

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The Rise of Open Models in the Enterprise — Amir Haghighat, Baseten

AI Engineer session on The Rise of Open Models in the Enterprise, presented by Amir Haghighat, Baseten. It adds practical context for how teams are building and operating AI systems in production.

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Information Retrieval from the Ground Up - Philipp Krenn, Elastic

AI Engineer session on Information Retrieval from the Ground Up - Philipp Krenn, Elastic. It adds practical context for how teams are building and operating AI systems in production.

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Why you should care about AI interpretability - Mark Bissell, Goodfire AI

AI Engineer session on Why you should care about AI interpretability - Mark Bissell, Goodfire AI. It adds practical context for how teams are building and operating AI systems in production.

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Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop) — Taylor Jordan Smith

AI Engineer session on Strategies for LLM Evals (GuideLLM, lm-eval-harness, OpenAI Evals Workshop), presented by Taylor Jordan Smith. It adds practical context for how teams are building and operating AI systems in production.

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Agents vs Workflows: Why Not Both? — Sam Bhagwat, Mastra.ai

AI Engineer session on Agents vs Workflows: Why Not Both?, presented by Sam Bhagwat, Mastra.ai. It adds practical context for how teams are building and operating AI systems in production.

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Wisdom-Driven Knowledge Augmented Generation at Scale - Chin Keong Lam, Patho AI

AI Engineer session on Wisdom-Driven Knowledge Augmented Generation at Scale - Chin Keong Lam, Patho AI. It adds practical context for how teams are building and operating AI systems in production.

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Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3) — VIbhu Sapra

AI Engineer session on Latent Space Paper Club: AIEWF Special Edition (Test of Time, DeepSeek R1/V3), presented by VIbhu Sapra. It adds practical context for how teams are building and operating AI systems in production.

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Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten

AI Engineer session on Introduction to LLM serving with SGLang - Philip Kiely and Yineng Zhang, Baseten. It adds practical context for how teams are building and operating AI systems in production.

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Rise of the AI Architect — Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli

AI Engineer session on Rise of the AI Architect, presented by Clay Bavor, Cofounder, Sierra w/ Alessio Fanelli. It adds practical context for how teams are building and operating AI systems in production.

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The Unofficial Guide to Apple’s Private Cloud Compute - Jmo, CONFSEC

AI Engineer session on The Unofficial Guide to Apple’s Private Cloud Compute - Jmo, CONFSEC. It adds practical context for how teams are building and operating AI systems in production.

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2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI

AI Engineer session on 2025 is the Year of Evals! Just like 2024, and 2023, and …, presented by John Dickerson, CEO Mozilla AI. It adds practical context for how teams are building and operating AI systems in production.

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Form factors for your new AI coworkers — Craig Wattrus, Flatfile

AI Engineer session on Form factors for your new AI coworkers, presented by Craig Wattrus, Flatfile. It adds practical context for how teams are building and operating AI systems in production.

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Vibes won't cut it — Chris Kelly, Augment Code

AI Engineer session on Vibes won't cut it, presented by Chris Kelly, Augment Code. It adds practical context for how teams are building and operating AI systems in production.

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Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft

AI Engineer session on Piloting agents in GitHub Copilot - Christopher Harrison, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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Useful General Intelligence — Danielle Perszyk, Amazon AGI

AI Engineer session on Useful General Intelligence, presented by Danielle Perszyk, Amazon AGI. It adds practical context for how teams are building and operating AI systems in production.

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Your realtime AI is ngmi — Sean DuBois (OpenAI), Kwindla Kramer (Daily)

AI Engineer session on Your realtime AI is ngmi, presented by Sean DuBois (OpenAI), Kwindla Kramer (Daily). It adds practical context for how teams are building and operating AI systems in production.

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Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger

AI Engineer session on Ship Agents that Ship: A Hands-On Workshop - Kyle Penfound, Jeremy Adams, Dagger. It adds practical context for how teams are building and operating AI systems in production.

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How to defend your sites from AI bots — David Mytton, Arcjet

AI Engineer session on How to defend your sites from AI bots, presented by David Mytton, Arcjet. It adds practical context for how teams are building and operating AI systems in production.

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Pipecat Cloud: Enterprise Voice Agents Built On Open Source - Kwindla Hultman Kramer, Daily

AI Engineer session on Pipecat Cloud: Enterprise Voice Agents Built On Open Source - Kwindla Hultman Kramer, Daily. It adds practical context for how teams are building and operating AI systems in production.

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Designing AI-Intensive Applications - swyx

AI Engineer session on Designing AI-Intensive Applications - swyx. It adds practical context for how teams are building and operating AI systems in production.

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Vision AI in 2025 — Peter Robicheaux, Roboflow

AI Engineer session on Vision AI in 2025, presented by Peter Robicheaux, Roboflow. It adds practical context for how teams are building and operating AI systems in production.

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Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x

AI Engineer session on Building Alice’s Brain: an AI Sales Rep that Learns Like a Human - Sherwood & Satwik, 11x. It adds practical context for how teams are building and operating AI systems in production.

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The Next Unicorns: 7 Top AI startups from the HF0 Residency

AI Engineer session on The Next Unicorns: 7 Top AI startups from the HF0 Residency. It adds practical context for how teams are building and operating AI systems in production.

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Evals Are Not Unit Tests — Ido Pesok, Vercel v0

AI Engineer session on Evals Are Not Unit Tests, presented by Ido Pesok, Vercel v0. It adds practical context for how teams are building and operating AI systems in production.

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Why We Don’t Need More Data Centers - Dr. Jasper Zhang, Hyperbolic

AI Engineer session on Why We Don’t Need More Data Centers - Dr. Jasper Zhang, Hyperbolic. It adds practical context for how teams are building and operating AI systems in production.

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The Future of Evals - Ankur Goyal, Braintrust

AI Engineer session on The Future of Evals - Ankur Goyal, Braintrust. It adds practical context for how teams are building and operating AI systems in production.

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Devin 2.0 and the Future of SWE - Scott Wu, Cognition

AI Engineer session on Devin 2.0 and the Future of SWE - Scott Wu, Cognition. It adds practical context for how teams are building and operating AI systems in production.

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[Full Workshop] Building Conversational AI Agents - Thor Schaeff, ElevenLabs

AI Engineer session on [Full Workshop] Building Conversational AI Agents - Thor Schaeff, ElevenLabs. It adds practical context for how teams are building and operating AI systems in production.

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Make your LLM app a Domain Expert: How to Build an Expert System — Christopher Lovejoy, Anterior

AI Engineer session on Make your LLM app a Domain Expert: How to Build an Expert System, presented by Christopher Lovejoy, Anterior. It adds practical context for how teams are building and operating AI systems in production.

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Fuzzing in the GenAI Era — Leonard Tang, Haize Labs

AI Engineer session on Fuzzing in the GenAI Era, presented by Leonard Tang, Haize Labs. It adds practical context for how teams are building and operating AI systems in production.

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Shipping Products When You Don't Know What they Can Do — Ben Stein, Teammates

AI Engineer session on Shipping Products When You Don't Know What they Can Do, presented by Ben Stein, Teammates. It adds practical context for how teams are building and operating AI systems in production.

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Building Applications with AI Agents — Michael Albada, Microsoft

AI Engineer session on Building Applications with AI Agents, presented by Michael Albada, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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Structuring a modern AI team — Denys Linkov, Wisedocs

AI Engineer session on Structuring a modern AI team, presented by Denys Linkov, Wisedocs. It adds practical context for how teams are building and operating AI systems in production.

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AI That Pays: Lessons from Revenue Cycle — Nathan Wan, Ensemble Health

AI Engineer session on AI That Pays: Lessons from Revenue Cycle, presented by Nathan Wan, Ensemble Health. It adds practical context for how teams are building and operating AI systems in production.

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Building the platform for agent coordination — Tom Moor, Linear

AI Engineer session on Building the platform for agent coordination, presented by Tom Moor, Linear. It adds practical context for how teams are building and operating AI systems in production.

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Scaling Enterprise-Grade RAG: Lessons from Legal Frontier - Calvin Qi (Harvey), Chang She (Lance)

AI Engineer session on Scaling Enterprise-Grade RAG: Lessons from Legal Frontier - Calvin Qi (Harvey), Chang She (Lance). It adds practical context for how teams are building and operating AI systems in production.

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Building Agents at Cloud Scale — Antje Barth, AWS

AI Engineer session on Building Agents at Cloud Scale, presented by Antje Barth, AWS. It adds practical context for how teams are building and operating AI systems in production.

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Your Coding Agent Just Got Cloned And Your Brain Isn't Ready - Rustin Banks, Google Jules

AI Engineer session on Your Coding Agent Just Got Cloned And Your Brain Isn't Ready - Rustin Banks, Google Jules. It adds practical context for how teams are building and operating AI systems in production.

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Hacking the Inference Pareto Frontier - Kyle Kranen, NVIDIA

AI Engineer session on Hacking the Inference Pareto Frontier - Kyle Kranen, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.

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The AI Engineer’s Guide to Raising VC — Dani Grant (Jam), Chelcie Taylor (Notable)

AI Engineer session on The AI Engineer’s Guide to Raising VC, presented by Dani Grant (Jam), Chelcie Taylor (Notable). It adds practical context for how teams are building and operating AI systems in production.

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Mentoring the Machine — Eric Hou, Augment Code

AI Engineer session on Mentoring the Machine, presented by Eric Hou, Augment Code. It adds practical context for how teams are building and operating AI systems in production.

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Five hard earned lessons about Evals — Ankur Goyal, Braintrust

AI Engineer session on Five hard earned lessons about Evals, presented by Ankur Goyal, Braintrust. It adds practical context for how teams are building and operating AI systems in production.

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#define AI Engineer - Greg Brockman, OpenAI (ft. Jensen Huang)

AI Engineer session on #define AI Engineer - Greg Brockman, OpenAI (ft. Jensen Huang). It adds practical context for how teams are building and operating AI systems in production.

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How to Secure Agents using OAuth — Jared Hanson (Keycard, Passport.js)

AI Engineer session on How to Secure Agents using OAuth, presented by Jared Hanson (Keycard, Passport.js). It adds practical context for how teams are building and operating AI systems in production.

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Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence

AI Engineer session on Robotics: why now? - Quan Vuong and Jost Tobias Springberg, Physical Intelligence. It adds practical context for how teams are building and operating AI systems in production.

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AX is the only Experience that Matters - Ivan Burazin, Daytona

AI Engineer session on AX is the only Experience that Matters - Ivan Burazin, Daytona. It adds practical context for how teams are building and operating AI systems in production.

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Real World Development with GitHub Copilot and VS Code — Harald Kirschner, Christopher Harrison

AI Engineer session on Real World Development with GitHub Copilot and VS Code, presented by Harald Kirschner, Christopher Harrison. It adds practical context for how teams are building and operating AI systems in production.

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Building AI Products That Actually Work — Ben Hylak (Raindrop), Sid Bendre (Oleve)

AI Engineer session on Building AI Products That Actually Work, presented by Ben Hylak (Raindrop), Sid Bendre (Oleve). It adds practical context for how teams are building and operating AI systems in production.

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How to Improve your Vibe Coding — Ian Butler

AI Engineer session on How to Improve your Vibe Coding, presented by Ian Butler. It adds practical context for how teams are building and operating AI systems in production.

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Perceptual Evaluations: Evals for Aesthetics — Diego Rodriguez, Krea.ai

AI Engineer session on Perceptual Evaluations: Evals for Aesthetics, presented by Diego Rodriguez, Krea.ai. It adds practical context for how teams are building and operating AI systems in production.

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Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo

AI Engineer session on Waymo's EMMA: Teaching Cars to Think - Jyh Jing Hwang, Waymo. It adds practical context for how teams are building and operating AI systems in production.

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Ship Production Software in Minutes, Not Months — Eno Reyes, Factory

AI Engineer session on Ship Production Software in Minutes, Not Months, presented by Eno Reyes, Factory. It adds practical context for how teams are building and operating AI systems in production.

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How to look at your data — Jeff Huber (Chroma) + Jason Liu (567)

AI Engineer session on How to look at your data, presented by Jeff Huber (Chroma) + Jason Liu (567). It adds practical context for how teams are building and operating AI systems in production.

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[Full Workshop] Building Metrics that actually work — David Karam, Pi Labs (fmr Google Search)

AI Engineer session on [Full Workshop] Building Metrics that actually work, presented by David Karam, Pi Labs (fmr Google Search). It adds practical context for how teams are building and operating AI systems in production.

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From Self-driving to Autonomous Voice Agents — Brooke Hopkins, Coval

AI Engineer session on From Self-driving to Autonomous Voice Agents, presented by Brooke Hopkins, Coval. It adds practical context for how teams are building and operating AI systems in production.

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How we hacked YC Spring 2025 batch’s AI agents — Rene Brandel, Casco

AI Engineer session on How we hacked YC Spring 2025 batch’s AI agents, presented by Rene Brandel, Casco. It adds practical context for how teams are building and operating AI systems in production.

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Multi Agent AI and Network Knowledge Graphs for Change — Ola Mabadeje, Cisco

AI Engineer session on Multi Agent AI and Network Knowledge Graphs for Change, presented by Ola Mabadeje, Cisco. It adds practical context for how teams are building and operating AI systems in production.

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Shipping something to someone always wins — Kenneth Auchenberg (ex. Stripe, VSCode)

AI Engineer session on Shipping something to someone always wins, presented by Kenneth Auchenberg (ex. Stripe, VSCode). It adds practical context for how teams are building and operating AI systems in production.

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The 2025 AI Engineering Report — Barr Yaron, Amplify

AI Engineer session on The 2025 AI Engineering Report, presented by Barr Yaron, Amplify. It adds practical context for how teams are building and operating AI systems in production.

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What Is a Humanoid Foundation Model? An Introduction to GR00T N1 - Annika & Aastha

AI Engineer session on What Is a Humanoid Foundation Model? An Introduction to GR00T N1 - Annika & Aastha. It adds practical context for how teams are building and operating AI systems in production.

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Vibe Coding with Confidence — Itamar Friedman, Qodo

AI Engineer session on Vibe Coding with Confidence, presented by Itamar Friedman, Qodo. It adds practical context for how teams are building and operating AI systems in production.

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Full Workshop: Realtime Voice AI — Mark Backman, Daily

AI Engineer session on Full Workshop: Realtime Voice AI, presented by Mark Backman, Daily. It adds practical context for how teams are building and operating AI systems in production.

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Human seeded Evals — Samuel Colvin, Pydantic

AI Engineer session on Human seeded Evals, presented by Samuel Colvin, Pydantic. It adds practical context for how teams are building and operating AI systems in production.

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Software Development Agents: What Works and What Doesn't - Robert Brennan, OpenHands

AI Engineer session on Software Development Agents: What Works and What Doesn't - Robert Brennan, OpenHands. It adds practical context for how teams are building and operating AI systems in production.

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On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks

AI Engineer session on On Engineering AI Systems that Endure The Bitter Lesson - Omar Khattab, DSPy & Databricks. It adds practical context for how teams are building and operating AI systems in production.

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Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber

AI Engineer session on Serving Voice AI at $1/hr: Open-source, LoRAs, Latency, Load Balancing - Neil Dwyer, Gabber. It adds practical context for how teams are building and operating AI systems in production.

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OpenAI on Securing Code-Executing AI Agents — Fouad Matin (Codex, Agent Robustness)

AI Engineer session on OpenAI on Securing Code-Executing AI Agents, presented by Fouad Matin (Codex, Agent Robustness). It adds practical context for how teams are building and operating AI systems in production.

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Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search)

AI Engineer session on Layering every technique in RAG, one query at a time - David Karam, Pi Labs (fmr. Google Search). It adds practical context for how teams are building and operating AI systems in production.

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Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind

AI Engineer session on Real-time Experiments with an AI Co-Scientist - Stefania Druga, fmr. Google Deepmind. It adds practical context for how teams are building and operating AI systems in production.

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Evaluating AI Search: A Practical Framework for Augmented AI Systems — Quotient AI + Tavily

AI Engineer session on Evaluating AI Search: A Practical Framework for Augmented AI Systems, presented by Quotient AI + Tavily. It adds practical context for how teams are building and operating AI systems in production.

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A2A & MCP Workshop: Automating Business Processes with LLMs — Damien Murphy, Bench

AI Engineer session on A2A & MCP Workshop: Automating Business Processes with LLMs, presented by Damien Murphy, Bench. It adds practical context for how teams are building and operating AI systems in production.

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Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue

AI Engineer session on Beyond the Prototype: Using AI to Write High-Quality Code - Josh Albrecht, Imbue. It adds practical context for how teams are building and operating AI systems in production.

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Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai

AI Engineer session on Building a Smarter AI Agent with Neural RAG - Will Bryk, Exa.ai. It adds practical context for how teams are building and operating AI systems in production.

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Why your product needs an AI product manager, and why it should be you — James Lowe, i.AI

AI Engineer session on Why your product needs an AI product manager, and why it should be you, presented by James Lowe, i.AI. It adds practical context for how teams are building and operating AI systems in production.

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Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)

AI Engineer session on Everything is ugly, so go build something that isn't, presented by Raiza Martin, Huxe (ex NotebookLM). It adds practical context for how teams are building and operating AI systems in production.

Automated Red Teaming Scans of Dataiku Agents Using Protect AI Recon

Protect AI post on automated red-team scanning for Dataiku agents using Recon. Relevant to enterprise LLM application testing, vulnerability discovery, and evaluation workflows.

Strengthening AI Security with Protect AI Recon & Dataiku Guard Services

Protect AI post on securing Dataiku agent deployments with Recon and Guard Services. Relevant to operationalizing AI security testing and managed controls.

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GPT-5 has Arrived

This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Genie 3: The World Becomes Playable (DeepMind)

This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.

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Building Effective Voice Agents — Toki Sherbakov + Anoop Kotha, OpenAI

AI Engineer session on Building Effective Voice Agents, presented by Toki Sherbakov + Anoop Kotha, OpenAI. It adds practical context for how teams are building and operating AI systems in production.

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HybridRAG: A Fusion of Graph and Vector Retrieval - Mitesh Patel, NVIDIA

AI Engineer session on HybridRAG: A Fusion of Graph and Vector Retrieval - Mitesh Patel, NVIDIA. It adds practical context for how teams are building and operating AI systems in production.

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On Curiosity — Sharif Shameem, Lexica

AI Engineer session on On Curiosity, presented by Sharif Shameem, Lexica. It adds practical context for how teams are building and operating AI systems in production.

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(possible dupe but better sound) What does Enterprise Ready MCP mean? — Tobin South, WorkOS

AI Engineer session on (possible dupe but better sound) What does Enterprise Ready MCP mean?, presented by Tobin South, WorkOS. It adds practical context for how teams are building and operating AI systems in production.

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tldraw.computer - Steve Ruiz, tldraw

AI Engineer session on tldraw.computer - Steve Ruiz, tldraw. It adds practical context for how teams are building and operating AI systems in production.

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Revenue Engineering: How to Price (and Reprice) Your AI Product — Kshitij Grover, Orb

AI Engineer session on Revenue Engineering: How to Price (and Reprice) Your AI Product, presented by Kshitij Grover, Orb. It adds practical context for how teams are building and operating AI systems in production.

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Survive the AI Knife Fight: Building Products That Win — Brian Balfour, Reforge

AI Engineer session on Survive the AI Knife Fight: Building Products That Win, presented by Brian Balfour, Reforge. It adds practical context for how teams are building and operating AI systems in production.

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The Build-Operate Divide: Bridging Product Vision and AI Operational Reality

AI Engineer session on The Build-Operate Divide: Bridging Product Vision and AI Operational Reality. It adds practical context for how teams are building and operating AI systems in production.

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"Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer — Anushrut Gupta, PromptQL

AI Engineer session on "Data readiness" is a Myth: Reliable AI with an Agentic Semantic Layer, presented by Anushrut Gupta, PromptQL. It adds practical context for how teams are building and operating AI systems in production.

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Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon

AI Engineer session on Recsys Keynote: Improving Recommendation Systems & Search in the Age of LLMs - Eugene Yan, Amazon. It adds practical context for how teams are building and operating AI systems in production.

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Measuring AGI: Interactive Reasoning Benchmarks for ARC-AGI-3 — Greg Kamradt, ARC Prize Foundation

AI Engineer session on Measuring AGI: Interactive Reasoning Benchmarks for ARC-AGI-3, presented by Greg Kamradt, ARC Prize Foundation. It adds practical context for how teams are building and operating AI systems in production.

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From Hype to Habit: How We’re Building an AI-First SaaS Company — While Still Shipping the Roadmap

AI Engineer session on From Hype to Habit: How We’re Building an AI-First SaaS Company, presented by While Still Shipping the Roadmap. It adds practical context for how teams are building and operating AI systems in production.

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Stateful environments for vertical agents — Josh Purtell, Synth Labs

AI Engineer session on Stateful environments for vertical agents, presented by Josh Purtell, Synth Labs. It adds practical context for how teams are building and operating AI systems in production.

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Building Multimodal AI Agents From Scratch — Apoorva Joshi, MongoDB

AI Engineer session on Building Multimodal AI Agents From Scratch, presented by Apoorva Joshi, MongoDB. It adds practical context for how teams are building and operating AI systems in production.

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To the moon! Navigating deep context in legacy code with Augment Agent — Forrest Brazeal, Matt Ball

AI Engineer session on To the moon! Navigating deep context in legacy code with Augment Agent, presented by Forrest Brazeal, Matt Ball. It adds practical context for how teams are building and operating AI systems in production.

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Critical AI Inference your CIO can Trust — Sahil Yadav, Hariharan Ganesan, Telemetrak

AI Engineer session on Critical AI Inference your CIO can Trust, presented by Sahil Yadav, Hariharan Ganesan, Telemetrak. It adds practical context for how teams are building and operating AI systems in production.

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Monetizing AI — Alvaro Morales, Orb

AI Engineer session on Monetizing AI, presented by Alvaro Morales, Orb. It adds practical context for how teams are building and operating AI systems in production.

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How to build world-class AI products — Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust)

AI Engineer session on How to build world-class AI products, presented by Sarah Sachs (AI lead @ Notion) & Carlos Esteban (Braintrust). It adds practical context for how teams are building and operating AI systems in production.

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Effective agent design patterns in production — Laurie Voss, LlamaIndex

AI Engineer session on Effective agent design patterns in production, presented by Laurie Voss, LlamaIndex. It adds practical context for how teams are building and operating AI systems in production.

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Good design hasn’t changed with AI — John Pham, SF Compute

AI Engineer session on Good design hasn’t changed with AI, presented by John Pham, SF Compute. It adds practical context for how teams are building and operating AI systems in production.

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Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter

AI Engineer session on Fun stories from building OpenRouter and where all this is going - Alex Atallah, OpenRouter. It adds practical context for how teams are building and operating AI systems in production.

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Thinking Deeper in Gemini — Jack Rae, Google DeepMind

AI Engineer session on Thinking Deeper in Gemini, presented by Jack Rae, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.

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12-Factor Agents: Patterns of reliable LLM applications — Dex Horthy, HumanLayer

AI Engineer session on 12-Factor Agents: Patterns of reliable LLM applications, presented by Dex Horthy, HumanLayer. It adds practical context for how teams are building and operating AI systems in production.

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The New Code — Sean Grove, OpenAI

AI Engineer session on The New Code, presented by Sean Grove, OpenAI. It adds practical context for how teams are building and operating AI systems in production.

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[Evals Workshop] Mastering AI Evaluation: From Playground to Production

AI Engineer session on [Evals Workshop] Mastering AI Evaluation: From Playground to Production. It adds practical context for how teams are building and operating AI systems in production.

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Automating Escrow with USDC and AI - Corey Cooper, Circle

AI Engineer session on Automating Escrow with USDC and AI - Corey Cooper, Circle. It adds practical context for how teams are building and operating AI systems in production.

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Netflix's Big Bet: One model to rule recommendations: Yesu Feng, Netflix

AI Engineer session on Netflix's Big Bet: One model to rule recommendations: Yesu Feng, Netflix. It adds practical context for how teams are building and operating AI systems in production.

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Agentic GraphRAG: AI’s Logical Edge — Stephen Chin, Neo4j

AI Engineer session on Agentic GraphRAG: AI’s Logical Edge, presented by Stephen Chin, Neo4j. It adds practical context for how teams are building and operating AI systems in production.

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Your Personal Open-Source Humanoid Robot for $8,999 — JX Mo, K-Scale Labs

AI Engineer session on Your Personal Open-Source Humanoid Robot for $8,999, presented by JX Mo, K-Scale Labs. It adds practical context for how teams are building and operating AI systems in production.

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The Bitter Layout or: How I Learned to Love the Model Picker — Maximillian Piras, Yutori

AI Engineer session on The Bitter Layout or: How I Learned to Love the Model Picker, presented by Maximillian Piras, Yutori. It adds practical context for how teams are building and operating AI systems in production.

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Google Photos Magic Editor: GenAI Under the Hood of a Billion-User App - Kelvin Ma, Google Photos

AI Engineer session on Google Photos Magic Editor: GenAI Under the Hood of a Billion-User App - Kelvin Ma, Google Photos. It adds practical context for how teams are building and operating AI systems in production.

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Unlocking AI Powered DevOps Within Your Organization — Jon Peck, GitHub

AI Engineer session on Unlocking AI Powered DevOps Within Your Organization, presented by Jon Peck, GitHub. It adds practical context for how teams are building and operating AI systems in production.

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Build Dynamic Products, and Stop the AI Sideshow — Eliza Cabrera (Workday) + Jeremy Silva (Freeplay)

AI Engineer session on Build Dynamic Products, and Stop the AI Sideshow, presented by Eliza Cabrera (Workday) + Jeremy Silva (Freeplay). It adds practical context for how teams are building and operating AI systems in production.

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Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies - Jesús Barrasa, Neo4j

AI Engineer session on Why Your Agent’s Brain Needs a Playbook: Practical Wins from Using Ontologies - Jesús Barrasa, Neo4j. It adds practical context for how teams are building and operating AI systems in production.

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Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data — Zach Blumenfeld

AI Engineer session on Agentic GraphRAG: Simplifying Retrieval Across Structured & Unstructured Data, presented by Zach Blumenfeld. It adds practical context for how teams are building and operating AI systems in production.

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CIAM for AI: Authn/Authz for Agents — Michael Grinich, CEO of WorkOS

AI Engineer session on CIAM for AI: Authn/Authz for Agents, presented by Michael Grinich, CEO of WorkOS. It adds practical context for how teams are building and operating AI systems in production.

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How fast are LLM inference engines anyway? — Charles Frye, Modal

AI Engineer session on How fast are LLM inference engines anyway?, presented by Charles Frye, Modal. It adds practical context for how teams are building and operating AI systems in production.

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[Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments

AI Engineer session on [Full Workshop] Vibe Coding at Scale: Customizing AI Assistants for Enterprise Environments. It adds practical context for how teams are building and operating AI systems in production.

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Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI

AI Engineer session on Dream Machine: Scaling to 1m users in 4 days, presented by Keegan McCallum, Luma AI. It adds practical context for how teams are building and operating AI systems in production.

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Full Spec MCP: Hidden Capabilities of the MCP spec — Harald Kirschner, Microsoft/VSCode

AI Engineer session on Full Spec MCP: Hidden Capabilities of the MCP spec, presented by Harald Kirschner, Microsoft/VSCode. It adds practical context for how teams are building and operating AI systems in production.

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MCP Is Not Good Yet — David Cramer, Sentry

AI Engineer session on MCP Is Not Good Yet, presented by David Cramer, Sentry. It adds practical context for how teams are building and operating AI systems in production.

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[Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai — Nick Nisi, Zack Proser

AI Engineer session on [Workshop] AI Pipelines and Agents in Pure TypeScript with Mastra.ai, presented by Nick Nisi, Zack Proser. It adds practical context for how teams are building and operating AI systems in production.

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Securing Agents with Open Standards — Bobby Tiernay and Kam Sween, Auth0

AI Engineer session on Securing Agents with Open Standards, presented by Bobby Tiernay and Kam Sween, Auth0. It adds practical context for how teams are building and operating AI systems in production.

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The emerging skillset of wielding coding agents — Beyang Liu, Sourcegraph / Amp

AI Engineer session on The emerging skillset of wielding coding agents, presented by Beyang Liu, Sourcegraph / Amp. It adds practical context for how teams are building and operating AI systems in production.

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Collaborating with Agents in your Software Dev Workflow - Jon Peck & Christopher Harrison, Microsoft

AI Engineer session on Collaborating with Agents in your Software Dev Workflow - Jon Peck & Christopher Harrison, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics - Alison & Andreas, Neo4j

AI Engineer session on Graph Intelligence: Enhance Reasoning and Retrieval Using Graph Analytics - Alison & Andreas, Neo4j. It adds practical context for how teams are building and operating AI systems in production.

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Don’t get one-shotted: Use AI to test, review, merge, and deploy code — Tomas Reimers, Graphite

AI Engineer session on Don’t get one-shotted: Use AI to test, review, merge, and deploy code, presented by Tomas Reimers, Graphite. It adds practical context for how teams are building and operating AI systems in production.

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Shipping an Enterprise Voice AI Agent in 100 Days - Peter Bar, Intercom Fin

AI Engineer session on Shipping an Enterprise Voice AI Agent in 100 Days - Peter Bar, Intercom Fin. It adds practical context for how teams are building and operating AI systems in production.

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Ship it! Building Production Ready Agents — Mike Chambers, AWS

AI Engineer session on Ship it! Building Production Ready Agents, presented by Mike Chambers, AWS. It adds practical context for how teams are building and operating AI systems in production.

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Intro to GraphRAG — Zach Blumenfeld

AI Engineer session on Intro to GraphRAG, presented by Zach Blumenfeld. It adds practical context for how teams are building and operating AI systems in production.

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Agentic Excellence: Mastering AI Agent Evals w/ Azure AI Evaluation SDK — Cedric Vidal, Microsoft

AI Engineer session on Agentic Excellence: Mastering AI Agent Evals w/ Azure AI Evaluation SDK, presented by Cedric Vidal, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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AI Red Teaming Agent: Azure AI Foundry — Nagkumar Arkalgud & Keiji Kanazawa, Microsoft

AI Engineer session on AI Red Teaming Agent: Azure AI Foundry, presented by Nagkumar Arkalgud & Keiji Kanazawa, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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Small AI Teams with Huge Impact — Vik Paruchuri, Datalab

AI Engineer session on Small AI Teams with Huge Impact, presented by Vik Paruchuri, Datalab. It adds practical context for how teams are building and operating AI systems in production.

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Events are the Wrong Abstraction for Your AI Agents - Mason Egger, Temporal.io

AI Engineer session on Events are the Wrong Abstraction for Your AI Agents - Mason Egger, Temporal.io. It adds practical context for how teams are building and operating AI systems in production.

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Books reimagined: AI to create new experiences for things you know — Lukasz Gandecki, TheBrain.pro

AI Engineer session on Books reimagined: AI to create new experiences for things you know, presented by Lukasz Gandecki, TheBrain.pro. It adds practical context for how teams are building and operating AI systems in production.

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Production software keeps breaking and it will only get worse — Anish Agarwal, Traversal.ai

AI Engineer session on Production software keeps breaking and it will only get worse, presented by Anish Agarwal, Traversal.ai. It adds practical context for how teams are building and operating AI systems in production.

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How agents will unlock the $500B promise of AI - Donald Hruska, Retool

AI Engineer session on How agents will unlock the $500B promise of AI - Donald Hruska, Retool. It adds practical context for how teams are building and operating AI systems in production.

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Claude Code & the evolution of agentic coding — Boris Cherny, Anthropic

AI Engineer session on Claude Code & the evolution of agentic coding, presented by Boris Cherny, Anthropic. It adds practical context for how teams are building and operating AI systems in production.

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Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon

AI Engineer session on Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon. It adds practical context for how teams are building and operating AI systems in production.

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Robots as professional Chefs - Nikhil Abraham, CloudChef

AI Engineer session on Robots as professional Chefs - Nikhil Abraham, CloudChef. It adds practical context for how teams are building and operating AI systems in production.

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Building Code First AI Agents with Azure AI Agent Service — Cedric Vidal, Microsoft

AI Engineer session on Building Code First AI Agents with Azure AI Agent Service, presented by Cedric Vidal, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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[Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents — Daniel Han

AI Engineer session on [Full Workshop] Reinforcement Learning, Kernels, Reasoning, Quantization & Agents, presented by Daniel Han. It adds practical context for how teams are building and operating AI systems in production.

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The State of Generative Media - Gorkem Yurtseven, FAL

AI Engineer session on The State of Generative Media - Gorkem Yurtseven, FAL. It adds practical context for how teams are building and operating AI systems in production.

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New York Times' Connections: A Case Study on NLP in Word Games — Shafik Quoraishee, NYT Games

AI Engineer session on New York Times' Connections: A Case Study on NLP in Word Games, presented by Shafik Quoraishee, NYT Games. It adds practical context for how teams are building and operating AI systems in production.

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Training Agentic Reasoners — Will Brown, Prime Intellect

AI Engineer session on Training Agentic Reasoners, presented by Will Brown, Prime Intellect. It adds practical context for how teams are building and operating AI systems in production.

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Transforming search and discovery using LLMs — Tejaswi & Vinesh, Instacart

AI Engineer session on Transforming search and discovery using LLMs, presented by Tejaswi & Vinesh, Instacart. It adds practical context for how teams are building and operating AI systems in production.

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Introducing Strands Agents, an Open Source AI Agents SDK — Suman Debnath, AWS

AI Engineer session on Introducing Strands Agents, an Open Source AI Agents SDK, presented by Suman Debnath, AWS. It adds practical context for how teams are building and operating AI systems in production.

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RL for Autonomous Coding — Aakanksha Chowdhery, Reflection.ai

AI Engineer session on RL for Autonomous Coding, presented by Aakanksha Chowdhery, Reflection.ai. It adds practical context for how teams are building and operating AI systems in production.

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Building a 10 person unicorn - Max Brodeur-Urbas, Gumloop

AI Engineer session on Building a 10 person unicorn - Max Brodeur-Urbas, Gumloop. It adds practical context for how teams are building and operating AI systems in production.

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Data is Your Differentiator: Building Secure and Tailored AI Systems — Mani Khanuja, AWS

AI Engineer session on Data is Your Differentiator: Building Secure and Tailored AI Systems, presented by Mani Khanuja, AWS. It adds practical context for how teams are building and operating AI systems in production.

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Real world MCPs in GitHub Copilot Agent Mode — Jon Peck, Microsoft

AI Engineer session on Real world MCPs in GitHub Copilot Agent Mode, presented by Jon Peck, Microsoft. It adds practical context for how teams are building and operating AI systems in production.

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Stop Using RAG as Memory — Daniel Chalef, Zep

AI Engineer session on Stop Using RAG as Memory, presented by Daniel Chalef, Zep. It adds practical context for how teams are building and operating AI systems in production.

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AI powered entomology: Lessons from millions of AI code reviews — Tomas Reimers, Graphite

AI Engineer session on AI powered entomology: Lessons from millions of AI code reviews, presented by Tomas Reimers, Graphite. It adds practical context for how teams are building and operating AI systems in production.

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360Brew: LLM-based Personalized Ranking and Recommendation - Hamed and Maziar, LinkedIn AI

AI Engineer session on 360Brew: LLM-based Personalized Ranking and Recommendation - Hamed and Maziar, LinkedIn AI. It adds practical context for how teams are building and operating AI systems in production.

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Architecting Agent Memory: Principles, Patterns, and Best Practices — Richmond Alake, MongoDB

AI Engineer session on Architecting Agent Memory: Principles, Patterns, and Best Practices, presented by Richmond Alake, MongoDB. It adds practical context for how teams are building and operating AI systems in production.

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Benchmarks Are Memes: How What We Measure Shapes AI — and Us - Alex Duffy, Every.to

AI Engineer session on Benchmarks Are Memes: How What We Measure Shapes AI, presented by and Us - Alex Duffy, Every.to. It adds practical context for how teams are building and operating AI systems in production.

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CI in the Era of AI: From Unit Tests to Stochastic Evals — Nathan Sobo, Zed