Blog

I attended AMD's Shanghai dev conference: 2000+ attendees, one of two awards went to a non-coder who used an AI agent to rewrite code in Rust for speedup.

I used Codex's /goal for weeks, then tested Claude Code's new /goal on tasks Codex failed; the behavioral difference is striking enough to document.

Talking with friends about AI agents, everyone asks me to explain to their boss. But real change has never come from a single training session.

Trump brought Musk, Jensen Huang, Cook to China—red carpets, state banquets, equal dialogue. 77 years ago it couldn't feed itself; two generations did it.

AI content pipelines taught me demo-to-production takes 3× time, not 50%—the gap is quality checks and retries. Mid-tier models and local compute fit there.

South Korea eyes AI dividends as Samsung unions strike. Between job losses and a deeper question: when work no longer defines value, what gives identity?

Five years, GitHub Copilot to Claude Code: coding proved right; foundation models swallowed small models, workflow tools, IDEs. What remains isn't software.

A friend asked if I'd take an AI transformation role. My take: don't save money, avoid IDEs, keep agents inspectable. GPT-5.5, two weeks old; 10 weeks left.

Where to start vibe coding? Two paths: work or a digital identity. Only publish the real you—Kevin Hart's decade-old tweets show the internet remembers.

DeepSeek's 300B round didn't surprise me. Liang Wenfeng investing 20B at the high valuation he set with outside investors did—something I haven't seen before.

Codex APP agents burned a Pro account in two days for little gain; Codex CLI Goal fixed it. I blamed the model; agents are maturing; no screen babysitting.

700+ AI Infra experiments cost me 35 hours on startup. I blamed GPT-5.5 fast mode, but GPUs waited on CPUs; Intel moves CPU:GPU from 1:8 to 1:1.