Blog

After a week with GPT-5.5 and Opus 4.7, I learned stronger models don't remove the human burden: Claude paused, GPT-5.5 killed a direction; I still steered.

Two weeks with GPT-5.5 (SPUD): I've mostly dropped Claude Code. The leap isn't a few percent gain—old weaknesses fixed make agent design philosophy clear.

AI meant machine learning, then ChatGPT, now agents. The term stayed the same but its meaning shifted three times; most still rely on outdated ideas.

60-person startup banned; 110-person firm billed, suspended; Altman firebombed; Meta's token-waste ranking. What should companies, nations, individuals control?

AIMA's management and after-sales layers are done, but the inference engine is missing: Ollama, llama.cpp, and vLLM all fall short, so I'm building one.

AI for science hits paywall, wet-lab, perception—not models. Tao: intelligence's Copernican revolution may grow 8.8M researchers to hundreds of millions.

Liam Price used GPT-5.4 Pro for 80 minutes to solve a 60-year Erdős conjecture experts misread. AI gives everyone near-free leverage: create or polish.

GPT-5.5 arrived six weeks after 5.4; Opus 4.7 followed 4.6 in two months. GPT now sounds human, Opus doesn't, and judgment's half-life keeps shrinking.

DeepSeek V4 matches Opus 4.6, but FP4, 1M-token context, and day-0 chip support stress inference infra. GPT-5.5, Vision Banana, and LPM 1.0 landed too.

I built a PAW Patrol literacy game for my son in a day and a half with a coding agent. My wife finally felt AI land in our living room.

LLM pricing is stuck: chip controls cap supply, while three user groups pull demand into different shapes. The once-obvious Coding Plan is now under fire.

GitHub stars are instant, but shipping something usable is a slog. I explain why vibe coding doesn't close the gap: what Jobs and Zhang Xiaolong share.