AI Agent 'Prime Agent' Scores 95.5% on ARC-AGI-3 Benchmark
___Patrice___ · x · 2026-08-06
A new AI agent named Prime Agent has achieved a remarkable 95.5% score on the ARC-AGI-3 benchmark, highlighting the rapid pace of AI development. The agent leverages a general-purpose coding harness built on three core ideas: recursive language models with native programmatic tool calling, persistent multi-agent orchestration, and a self-improving continual harness.
More from coding & agent
- Cross-review coding workflow: Claude writes the plan, Codex audits it — theteknosaur · 2026-10-16
- Simon Willison: code mode is the future of tool calling, if it can be sandboxed — springrod · 2026-10-16
- Normalizing Claude's schema-free MCP output before it hits downstream n8n nodes — snowingbol · 2026-10-16
- Agent named 'Ilya' reportedly scores 1.1pt higher on benchmarks — daniel_mac8 · 2026-10-16
- A plain notes.md fixed my agent's cross-session amnesia better than chat history — rahul_watertech · 2026-10-16
- Flattening everything into a vector DB breaks retrieval: a typed-surfaces architecture (KB/DB/Graph/Skills/Memory) — Puzzleheaded_Box2842 · 2026-10-16