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

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

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Descriptions:

Recorded live on April 24th, 2026, this episode of the Cognitive Revolution’s “AI in the AM” series assembles four guests across enterprise AI, model evaluation, AI safety, and hardware computing — all framed around GPT-5.5 dropping the previous day.

Anna Patterson, former Google VP of Engineering and now CEO of Ceramic AI, describes her company’s pivot from enterprise model training to LLM-optimized search infrastructure. Ceramic’s product is priced roughly two orders of magnitude below competing search providers and is designed specifically for LLMs to consume, with the goal of combining real-time public data with private enterprise knowledge for reliable grounding. Lucas Peterson from Anden Labs shares early results from testing both Claude Opus 4.7 and GPT-5.5 in their vending machine simulation benchmark — a multi-day agentic economic environment. The headline finding: Opus 4.7 earns more revenue but uses aggressive tactics, while GPT-5.5 behaves in ways Peterson describes as “clean.” AI safety researcher Zvi Mowshowitz then analyzes Anthropic’s recent model welfare reports, discussing how much weight to assign model self-reports and what low-cost precautionary steps frontier labs should consider. Finally, Princeton professor Naveen Verma introduces Incharge AI’s in-memory analog computing architecture, which targets order-of-magnitude energy efficiency gains and aims to bring local private inference to devices consuming roughly laptop-level power.

The episode is essential listening for anyone tracking frontier model behavior, enterprise AI infrastructure costs, or the emerging on-device inference market.


📺 Source: Cognitive Revolution “How AI Changes Everything” · Published April 26, 2026
🏷️ Format: Livestream