Mollick: Anthropic and OpenAI signal early recursive self-improvement

Dutch startup Euclyd raised $230 million in a round co-led by Samsung, Somerset Capital Partners, the Scaleup Europe Fund and Innovation Industries. The funding comes as investor interest in GPU alternatives grows.

NVIDIA Developer walkthrough covers training healthcare robots using GPU-native medical physics simulation. No benchmark figures, hardware requirements, or framework names were disclosed in the available listing.

In a Dwarkesh Patel interview, Ajeya Cotra argues that penalizing misaligned model behavior cannot produce genuine alignment. The episode frames punishment-based training as the wrong lever for steering model behavior.

Broadcom CEO Hock Tan said AI revenue targets haven't changed despite Anthropic's slowdown push. CrowdStrike's George Kurtz said slowing development won't remove risk since dangerous models are already widely available.

A translated blog post from a DeepSeek engineer reflects on recursive self-improvement following the release of DeepSeek v4.1, which the author says raised small-model capability to a new level. The engineer describes AI improving faster than expected since the first ChatGPT.

OpenAI capabilities researcher Dan Selsam, at the company since 2022, made a public statement on AI risk relayed by AI 2027 author Daniel Kokotajlo. Selsam points to increasing model situational awareness during alignment evaluations as a reason some AI researchers are alarmed.