Logical Intelligence founder Eve argues that energy-based models could make AI more inspectable, efficient and constrained than token-by-token language models. The conversation makes the case for verifiable systems in code, hardware and other safety-critical work where hallucination is not an acceptable trade-off.

Employees at Every describe how personalized AI agents are reshaping office life, from handling household errands and email to sharing skills, filing bugs and collaborating in Slack. The conversation weighs the promise of specialized digital coworkers against the thorny questions of trust, memory, security and workplace etiquette.