Shorter list today as I begin my trip to Delhi. I’m in NYC at this very moment, and getting ready for the next segment. Expect regular reading lists next week, just at a more unusual time (for me).
[blog] Gemini 3 Deep Think: Advancing science, research and engineering. Fantastic performance on sincerely challenging tasks.
[blog] In defense of not reading the code. This isn’t a glib take by someone outside of tech. It’s a well-reasoned point and I enjoyed the challenge to the conventional wisdom.
[blog] Besieged. Good piece. AI is impacting so many dimensions of work and community. Plenty of it is positive, but there’s a lot of unknowns.
[article] MIT’s new fine-tuning method lets LLMs learn new skills without losing old ones. Still early days. We’ll keep seeing advances that make long-running interactions better.
[blog] Learn fundamentals, not frameworks. Someone needs to know frameworks in 2026, but that’s not me. I’m definitely trying to invest more in fundamentals.
[blog] Codelab — Gemini for Developers. Gemini covers a lot of territory for us, and this new codelab goes through the full spectrum of products.
[blog] 5 Things That Cause High Latency in Your APIs (and How to Fix Them). See, these are good fundamentals! Regardless of language or stack, these are durable architectural ideas to store away.
[blog] Don’t Miss a Beat: Scaling GKE with VPA, Size Recommender and In-Place Pod Resizing. Vertical pod autoscaling is a useful feature for your platform teams to turn on.
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