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

About this episode

This episode discusses advancements in AI, including low-cost enterprise search, model welfare, and efficient computing methods.

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 scale. Design trusted agentic outcomes from day one at https://avpt.co/tcr Claude: Claude by Anthropic is an AI collaborator that understands your workflow and helps you tackle research, writing, coding, and organization with deep context. Get started with Claude and explore Claude Pro at https://claude.ai/tcr VCX: VCX, by Fundrise, is the public ticker for private tech, giving everyday investors access to high-growth private companies in AI, space, defense tech, and more. Learn how to invest at…

People in this episode

Hosts: Erik Torenberg, Nathan Labenz

Guests: Anna Patterson, Lukas Petersson, Zvi Mowshowitz, Naveen Verma

Topics covered

• AI
• enterprise search
• model welfare
• analog computing
• LLMs
• performance analysis

Keywords

• AI
• GPT-5.5
• Ceramic.ai
• Andon Labs
• model welfare
• analog computing
• enterprise search
• performance analysis

Sponsors

AvePoint, Claude, VCX, Tasklet

Mentioned in this episode

Organizations: Ceramic.ai, Andon Labs, EnCharge AI

Products: Claude, VCX, Tasklet

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