AI in the AM: 99% off search, GPT-5.5 is "clean", model welfare analysis, & efficient analog compute

On this episode

About this episode

This edition of AI in the AM features Anna Patterson on Ceramic.ai’s pivot to low-cost enterprise search for LLMs, designed to combine public and private data with stronger fact-checking. Lukas Petersson returns with new Andon Labs results on Opus 4.7 and GPT-5.5, including surprising differences in performance, behavior, and “ruthless” tactics. Zvi Mowshowitz unpacks model welfare and how to interpret troubling model behavior, while Naveen Verma explains EnCharge AI’s analog in-memory computing approach for dramatically more efficient local inference. Sponsors: AvePoint: AvePoint is building the control layer for AI agents so you can securely govern, audit, and recover every action at…