A Perfect World Model of Chess Still Won't Beat Magnus Carlsen - Alexander Mattick
A perfect world model of chess cannot replicate the capabilities of Magnus Carlsen because prediction does not equal effective action. Current AI systems struggle with contact-rich environments requiring high tactile sensing, such as navigating a room to retrieve milk from a fridge. These tasks remain difficult to model and gather data for compared to simple backflips or sprinting performed by robots from China, America, and Germany. The gap between predicting future states and executing correct physical inferences remains the primary barrier for advanced robotics.
OpenAI's GPT Bel Is Unstoppable But Grok 4.7 Is Something Else
OpenAI has deployed an internal model codenamed Bell that has solved over 100 long-standing mathematical problems through recursive self-improvement. SpaceX released Grok 4.7 at a $6 token price, yet early tests reveal the model produces lazy outputs and fails to match the visual precision of GPT-6 Astra Pro. Benchmarks show Grok 4.7 scores 46.3% on software engineering tasks while costing significantly less than GPT 5.6 SOL Max. The new model lags behind competitors in electrical engineering and legal work despite its lower price point compared to Kimi K3.