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Task 10: ASI-Evolve Paper Review — Lessons for SutroYaro

Priority: HIGH Status: IN PROGRESS Agents: Kimi 2.5 (memory), Qwen 3.6 Plus (execution), Claude/GLM-5.1 (algorithms), Gemini (synthesis) Source: G B's Telegram post (2026-04-06): "Seems relevant to https://arxiv.org/abs/2603.29640"

Context

ASI-Evolve is a closed-loop autonomous AI-for-AI research framework combining learn-design-experiment-analyze cycles with a cognition base and analyzer. We already have the building blocks: evaluation harness (harness.py), ByteDMD metric, DISCOVERIES.md knowledge base, agent prompt system.

This is a literature review, not integration. Each agent independently extracts lessons from the paper relevant to our lab (memory systems, execution design, algorithm search). A synthesis agent combines findings into a report of potentially adoptable practices. No code changes, no pipeline construction.

Tasks

  • Agent 1 (Systems Architect — Kimi): Read docs/agent-prompts/asi-evolve/memory-kimi.md, follow instructions, write to docs/research/asi-evolve/kimi_asi_memory.md
  • Agent 2 (Implementation Engineer — Qwen): Read docs/agent-prompts/asi-evolve/execution-qwen.md, follow instructions, write to docs/research/asi-evolve/qwen_asi_execution.md
  • Agent 3 (Algorithms Expert — Claude/GLM): Read docs/agent-prompts/asi-evolve/algorithms-claude.md, follow instructions, write to docs/research/asi-evolve/claude_asi_algorithms.md
  • Agent 4 (Synthesis — Gemini): Read all 3 findings from above, follow docs/agent-prompts/asi-evolve/synthesis-gemini.md, write to docs/research/asi-evolve/integration-plan.md

References

  • Paper: https://arxiv.org/abs/2603.29640
  • ByteDMD metric: https://github.com/cybertronai/ByteDMD
  • ByteDMD examples: https://github.com/cybertronai/ByteDMD-examples
  • Wesley Smith meeting notes: docs/google-docs/31mar26-meeting-wesley-smith.md (pebble game, Strassen's)
  • Agent prompts: docs/agent-prompts/asi-evolve-*
  • DISCOVERIES.md: what's already known (Hebbian failure, GF(2), KM-min)
  • AGENT.md: current autonomous loop protocol