Today on AI:AM — “Self-Improving Tax Agents and Catholic AI.”
We open on Google’s first equity raise since its IPO — Berkshire taking 12.5% of an $80B round — and what the scramble for capital says about an AI “megacorp” that may be too big to fail, plus the Bernie Sanders national-stake debate and why taxes may beat equity.
Arthur Fernandes Araujo & John de Wasseige (OpenAI) on self-improving tax agents — how a production tax workflow turned every human correction into training signal, took one accountant from 180 hours to 15, and why “the model eats the harness” with each new generation.
A hosts-only research speed-run on whether AI can still be watched — field notes from the Recursive event where monitoring is the number-one safety bet, plus the papers behind persona selection, emergent misalignment (”writing bad code makes you evil”), eval-gaming, and accidental chain-of-thought training.
Matthew Sanders (Longbeard / Magisterium AI) on Catholic AI after the Pope’s encyclical — what it was like at the Vatican, the divergence with Anthropic on machine consciousness, the red line on autonomous weapons, and why the last 5% of alignment is non-negotiable for a faith tradition.
We close on a live test of the cigarette-business refusal example from the OpenAI model spec, the tension between research and business “layers” in deployed models, and the argument that open-source AI may now be unbannable on religious-freedom grounds.
