Prime Radiant releases smevals for evaluating models and prompts

OpenAI research scientist Noam Brown joins The Information's AI Deep Dive host Rocket Drew to discuss AI agents, reinforcement learning, and what happens when capable agents reason, delegate, and coordinate with each other. The conversation also covers the Hugging Face incident and the limits of AI.

On the Sources Podcast, Altman argued OpenAI must commit more heavily to building data centers. No figures, timelines, or locations were disclosed in the clip.

Anthropic commits unilaterally to embedded third-party evaluators with desks in its offices, access badges, and company laptops, per a rare personal blogpost by Dario Amodei. The AI Evaluator Forum, formed December 2025, published expectations for those evaluators.

REMAINDER was made in ComfyUI with LTX and MiniMax H3, using mostly frontal, side-profile and top-down compositions instead of constant camera movement and coverage. The creator framed it as a test of whether an AI short can work with deliberately restricted camera language.

A r/StableDiffusion thread asks which LLM best writes Minimax prompts, with the poster saying ChatGPT "over stuffs the prompt" with unneeded extra text. No specific model or method was named as the winner.

A Reddit user built a Curiosity rover simulator with GPT 6 Astra, featuring seamless space-to-surface traversal with no loading screens and real NASA data. The creator says the full Solar System — all planets, moons, NASA missions, ships and satellites — is in progress.