RPM-guided search sets new SOTA on benchmarks, proving selection scales with compute
anirudhg9119 · x · 2026-09-01
RPM-guided search achieved breakthroughs on ML research tasks. Agentic RPM scored 94.1% on WinoGrande (vs 90.4% prior agentic SOTA), while Inference-only RPM hit 95.7% on SVAMP (vs 94.2% human SOTA). Results demonstrate that selection quality itself scales with compute.
More from coding & agent
- Harness Engineering Becomes Critical Skill for AI Engineers — shyamalanadkat · 2026-09-01
- Workshop: Building an LLM Wiki for Agent Long-Term Memory — Al_Grigor · 2026-09-01
- Blume: Local Tool to Unify Rules and Memory Across Coding Agents — thisiskp_ · 2026-09-01
- Critique of Anthropic merging user commands and agent skills — johnlindquist · 2026-09-01
- Use Git Worktrees to isolate multiple AI coding agents — EXM7777 · 2026-09-01
- Hands-On Workshop: Build an LLM Wiki as Long-Term Memory for Your Agents — Al_Grigor · 2026-09-01