Google's GPT-Astra and Anthropic's Claude Opus have successfully decrypted long-unsolved Enigma-coded messages from Nazi Germany, including an 85-year-old 1941 German Army transmission known as the MVUEH message that had remained uncracked since being shared online in 2005. Astra reportedly coded its own simulator to crack the code in two days.
New research reveals that current AI world models like Sora and Genie fail to predict human actions because they only simulate physics while ignoring beliefs, intentions, and feelings. A "Mental World Modeling" framework that incorporates these mental variables shows weaker language models can outperform stronger models that lack this capability.
Multiple research teams have published work on integrating large language models with medical knowledge graphs to improve clinical reasoning and bridge the gap between preclinical research and patient care. The developments include frameworks for constructing temporally evolving medical knowledge graphs and surveys examining LLM capabilities for medical reasoning.
Developers and power users are reporting significant performance declines in Anthropic's Claude Opus 4.6 and Claude Code models, with complaints of reduced reliability, instruction-following failures, and diminished reasoning capabilities. The backlash comes as Anthropic, recently valued at $380 billion, reportedly moves toward an IPO, with users speculating the degradation may be intentional 'nerfing' or related to compute limits and policy changes.
