AI:AM — RSI Gets Real, the Context Bet, and the Benchmark Anthropic Fails · June 12, 2026

Lovelace AI founder Andrew Moore joins AI:AM to argue that enterprise agents will be constrained more by context, recall, and data structure than raw compute. Prakash Narayanan and Nathan Labenz also cover Fable, Recursive, token anxiety, social-media memory, and prinz's legal AI benchmark showing where Anthropic falls behind OpenAI. The episode closes on frontier-lab governance, AI risk framing, model workflows, OpenAI subscription tactics, and the post-IPO capital cycle.

(0:00) Opening: Fable, RSI, and task imagination

(0:00:56) Task Imagination Needs Recalibration

(0:16:32) Token Anxiety Holds People Back

(0:26:14) Social media needs memory, not just content

(0:39:14) Frontend Skills Will Diffuse Fast

(0:43:47) Fable-Class Models Should Diffuse First

(0:50:00) Scott Alexander and superpersuasion quick hit

(0:50:09) Andrew Moore: context, not compute

(0:56:04) Recall Beats Precision in AI

(1:02:41) Corroborating data beats a single source

(1:05:07) Precache context to save compute

(1:09:06) Small Models Can Pay Back Hard

(1:16:50) Organize old data before deploying agents

(1:18:40) prinz: the legal benchmark Anthropic fails

(1:21:17) Lawyers are a year behind frontier AI

(1:39:35) AI judges and micro-lawsuits

(1:45:02) OpenAI’s Unit Distance Shock

(1:53:04) The Legal System Must Adapt

(2:05:24) Why nationalizing frontier labs is dangerous

(2:13:02) Worrying Is The Wrong Frame

(2:15:31) Closing: model workflows and launch aftershocks

(2:16:00) Contrarian Graphs Beat The Narrative

(2:19:02) OpenAI's Subscription Game

(2:33:00) The Capital Explosion Starts

Guests:

Andrew Moore — Lovelace AI (@awm_ai)

prinz — anon lawyer dabbling in AI (@deredleritt3r)

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