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 (https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think/). Fantastic performance on sincerely challenging tasks.

[blog] In defense of not reading the code (https://www.benshoemaker.us/writing/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 (https://redmonk.com/sogrady/2026/02/10/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 (https://venturebeat.com/orchestration/mits-new-fine-tuning-method-lets-llms-learn-new-skills-without-losing-old). Still early days. We’ll keep seeing advances that make long-running interactions better.

[blog] Learn fundamentals, not frameworks (https://newsletter.techworld-with-milan.com/p/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 (https://medium.com/google-cloud/codelab-gemini-for-developers-b02260ec15c6). 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) (https://nordicapis.com/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 (https://medium.com/google-cloud/dont-miss-a-beat-scaling-gke-with-vpa-size-recommender-and-in-place-resizing-3c0e10cde08e). Vertical pod autoscaling is a useful feature for your platform teams to turn on.

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