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Maurice Heumann and collaborators used more than a dozen AI coding agents over roughly three months to reconstruct Modern Warfare 2 in C++, consuming an estimated 600–700 billion tokens. A byte-matching verification harness helped produce source for 99% of functions, with 83% matching the original binary exactly.
Unofficial browser ports of Halo: Combat Evolved, GTA: Vice City, The Simpsons: Hit & Run, and other classics are reportedly running remarkably well through WebAssembly and WebGL. The trend highlights both AI-assisted reverse engineering’s potential and the legal challenge of removing rapidly replicated projects ([Kotaku](https://kotaku.com/we-might-be-cooked-as-these-vibe-coded-web-browser-ports-of-halo-the-simpsons-hit-and-run-and-gta-vice-city-seem-to-work-perfectly-2000743300), [Radiant Optimizer Games](https://radiantoptimizer.games/)).
Nikkei counted 16 new text, image, and audio models from Chinese developers in September, led by DeepSeek and Xiaomi. Across tracked US and Chinese labs, average model-update cycles fell from 125 days to 44.
The WorldofAI video recirculates unverified claims that Google, Anthropic, and OpenAI are nearing recursive self-improvement (RSI), using an arXiv survey as context rather than evidence that any lab has closed the loop. The survey distinguishes bounded self-refinement from open-ended RSI and says current systems remain constrained by grounding, collapse, and compute limits.
Google employees are reportedly testing an internal Gemini 4 checkpoint called Carbon in the Jetski coding environment, with one developer likening its coding performance to Claude Opus 5.5. The comparison is anecdotal, with no public benchmark, release plan, or confirmed final name.
Anonymous reports claim Anthropic has begun pretraining a successor that could become Claude Fable 6 or another larger model. Anthropic has not confirmed the training run, model name, or release timeline.