Why it matters
AI Engineer session on A year of Gemini progress + what comes next, presented by Logan Kilpatrick, Google DeepMind. It adds practical context for how teams are building and operating AI systems in production.
My takeaway: Useful for model evaluation because it ties capability claims to benchmarks, training decisions, or deployment tradeoffs instead of relying on surface-level demos.