Context: Claude Opus 5.5 and GPT-6 Astra tasked with fixing a trained driving network
kevrussell · x · 2026-11-04
A quote-post supplying context for the same experiment: the author tasked Claude Opus 5.5 and GPT-6 Astra with fixing a small trained driving network so the car reaches the goal, finding that their working fixes didn't need what the network had learned. Same event as the earlier post.
Related event: LLM-fixed driving nets still work with weights zeroed out(2 posts)→
More from Models
- Artificial Analysis v2.0 capability indexes: Claude Opus 5.5 sweeps all six occupations — ArtificialAnlys · 2026-11-04
- DeepSeek article outlines super-agent architecture: continuous, productive, proactive, persistent — LangChain · 2026-11-04
- Musk says Grok 4.8 won't chase benchmarks; skeptics doubt xAI's coding-focused moat — haider1 · 2026-11-04
- Longtime ChatGPT Subscribers Slam OpenAI Over Token Billing With No Quota Limits Revealed — LowRepublic4680 · 2026-11-04
- Tiny LoRA adapter beats DNA model Carbon-X on RareBench, exposing generalization limits — danielmckinn0n · 2026-11-04
- LangChain benchmarks 7 browser toolsets: Stagehand wins with 90% pass rate at $1.98 vs $83.62 — LangChain · 2026-11-04