Edward Hughes argues AI lacks scientific taste

A ComfyUI user reports that an existing prompt enhancer for MiniMax H3 broke image-to-video continuity: the subject appeared in a completely different setting after roughly two seconds of a near-frozen start image.

HarnessDev tests whether LLMs can build and evolve their own agent harnesses, finding self-built harnesses transfer poorly across models. GPT-5 solves 35.2% of Terminal-Bench 2.1 tasks in Terminus 2 but 49.6% in Codex CLI with identical weights.

r/ClaudeAI discussion asks developers whether they use Claude mainly for debugging and understanding code or for building complete features and projects, and how much generated code they trust without reviewing it.

Cohere-hosted talk by Raymond Chua addresses continual learning in deep reinforcement learning, framing it as a major unsolved challenge for AI agents. The work centers on predictive representations and memory to let agents adapt in complex, dynamic environments.