OpenAI solves Navier-Stokes, Meta’s Muse a free AI agent that’s really good, DeepSeek V4.1 shrinks KV cache, and one doomer post causes OpenAI to consider pausing training + more AI news

The rapid evolution of AI models dominates the current landscape, highlighted by DeepSeek V4.1 Flash’s efficient 552-billion parameter architecture and its breakthrough in KV cache compression, which drastically reduces inference costs. OpenAI’s recent claim of solving the Navier-Stokes Millennium Prize problem using a swarm of 10,000 agents marks a historic milestone in mathematical reasoning, despite ongoing debates regarding verification and data usage. Meta’s introduction of Muse, a proactive, agentic assistant with native integration into the Apple ecosystem and a focus on confidential computing, signals a shift toward secure, user-centric AI. Meanwhile, the industry grapples with rising doomerism, as high-profile resignations and warnings about recursive self-improvement spark intense discourse on the necessity of safety regulations versus the risks of slowing down life-saving technological progress.