ARC-AGI-3 and GPT-6 Astra: Two Scores, One Model, and the Harness Gap
GPT-6 Astra scored 62.7% and 99.9% on ARC-AGI-3 with the same weights. The harness made the difference, and that should change how you evaluate your…
GPT-6 Astra scored 62.7% and 99.9% on ARC-AGI-3 with the same weights. The harness made the difference, and that should change how you evaluate your…
My LLM evaluation tools said the agent was fine. Two long-horizon benchmarks explain why it fell apart in week three, and what I test differently…
Tool schemas quietly weaken your model's refusal behavior. Here is what a new agent-safety paper found and the checks I now run before shipping any…
Claude Code hooks changed how I run agents. Here is the exact PreToolUse and PostToolUse setup I ship in every repo, with the JSON, exit…
Prompt engineering tunes what you ask. Context engineering decides what the model sees at all. Where my agents kept dying on long runs, and the…