Viewpoints, commentary, analysis, interviews, and discussion of trends.
Giving my Dot a dedicated email address turned out to be surprisingly painless and solved a few problems around how to relate to a personal agent. I don't want it using my email or drafting messages on my behalf, and I want to make sure people know they are interacting with an AI.
Gemini 4 Argon: How a 24-word prompt built a custom synthesizer that turns galloping horses, rippling water, and your own hands into music.
I've been having a lot of fun trying a wide range of LLM post-training experiments using KerasHub + JAX + TPUs. Might open-source some of that
With AI engineering skills, you can actively shape the building process: influence what gets built and drive the build loop. Here are the key skills for doing that. https://x.com/i/article/2098450134883594240
new post on harness engineering for AI self-improvement: https://lilianweng.github.io/posts/2026-07-04-harness/ It is hard to forecast how much the future of RSI will rely on harnesses. Likely harness engineering will evolve in the direction of self-improvement and enable auto-research, and, in turn, smarter models keeps harnesses simple. Even when many harness improvement get eventually internalized into core model, the need to specify goals and context will not disappear.
