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State of Data — Sean Cai, Independent / State of Data
Data Quality Research at Prime Intellect and State of Data Author. Prior investor at Hummingbird and Costanoa.
Research archive, page 67
Browse entries 1585–1597 of 1597. Return to the first page to search and filter the complete collection.
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Evaling Video Slop — Maor Bril, Character.ai
A generated clip where the character stands frozen for four seconds can still score well, because the judge rewarded the gloss and the vibe instead of what actually happened.
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Notion's Token Town — Sarah Sachs, Notion
Every month it is the same trap. A reasoning model gets upgraded at the same price per token, then quietly burns three times the output tokens. Or the new version costs 40% more and deprecates its predecessor in four months. Are you growing 40%? Making three times the revenue?
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The Unreasonable Effectiveness of Separating the Task from the Model — Maxime Rivest & Isaac Miller
By declaring a task's inputs and outputs without initially considering model capability, you create the space needed to determine execution later. DSPy's promise is that AI engineering should happen above a particular prompt template or provider API shape: the Signature.
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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.
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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.
RE-Bench compares research agents and human experts under explicit compute budgets
METR’s November 2024 RE-Bench release provides seven research-engineering environments, human-expert attempts and agent transcripts. Tasks involve objectives such as optimizing kernels, recovering model performance and fitting scaling laws under specified resources. Results depend strongly on time allocation: agents often benefit from selecting the best of many short attempts, while humans benefit from longer continuous work.
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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.
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Buy Now, Maybe Pay Later: Dealing with Prompt-Tax While Staying at the Frontier - Andrew Thomspson
AI Engineer session on Buy Now, Maybe Pay Later: Dealing with Prompt-Tax While Staying at the Frontier - Andrew Thomspson. It adds practical context for how teams are building and operating AI systems in production.
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Verifiable Environments for AI in Biology — Kenny Workman, LatchBio
A single spatial biology run can yield two to six terabytes of data, far more than a scientist can eyeball, and Kenny Workman argues that this is the raw material for teaching AI to actually do science.
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What's Next After RLHF? — Diogo Almeida, TypeSafe AI
RLHF made models that are extraordinary at pleasing the human in the loop, and Diogo Almeida, a GPT-4 co author, argues that is exactly the problem.
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The Base Model Is Dead — Varun Singh, Arcee AI
The old story is that a base model is a mirror of the internet, a good model of human web text that everything else gets bolted onto. Varun Singh, who leads pre-training at Arcee AI, argues that story is dead: no modern base model reflects the web the way GPT-3 once did.
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From RL to IRL — Gaurav Mishra, Amazon AGI Lab
Asked to file an expense, the agent gets signed out mid task, reasons that it can infer the password, guesses twice, and locks the account. In a second run it clicks a sponsored button styled like the real submit button, lands on a different site, and begins typing personal details into it.