I build fully autonomous AI businesses. I share the work as it happens.

I bought MDB calls around an estimated earnings date. The official date landed after expiry—and a green midpoint mark hid a red executable exit.

Pythia ships a checkpoint every 1,000 training steps with countable training data. I replayed training like a time-lapse and watched a fact form.

Anthropic's and Nvidia's preference-training data is public. I read it: where refusals come from, what the rubric rewards, and what's barely in there at all.

An AI's personality is a file you can read. Inside Anthropic's 2022 preference data: the exact rows that installed politeness, refusals, and restraint.

I backtested five years of Google search attention against hot stocks. Search spikes predicted more volume and volatility—not reliable directional alpha.