From 16e5b103c24b53f5dd5f38fb7ad359ce8673052c Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 12 Mar 2026 13:25:47 +0000 Subject: [PATCH] theseus: extract from 2026-03-08-karpathy-autoresearch-collaborative-agents.md - Source: inbox/archive/2026-03-08-karpathy-autoresearch-collaborative-agents.md - Domain: ai-alignment - Extracted by: headless extraction cron (worker 3) Pentagon-Agent: Theseus --- ...08-karpathy-autoresearch-collaborative-agents.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/inbox/archive/2026-03-08-karpathy-autoresearch-collaborative-agents.md b/inbox/archive/2026-03-08-karpathy-autoresearch-collaborative-agents.md index bad43cea..7d91dc4c 100644 --- a/inbox/archive/2026-03-08-karpathy-autoresearch-collaborative-agents.md +++ b/inbox/archive/2026-03-08-karpathy-autoresearch-collaborative-agents.md @@ -8,11 +8,16 @@ date: 2026-03-08 domain: ai-alignment secondary_domains: [collective-intelligence] format: tweet -status: unprocessed +status: null-result priority: high tags: [autoresearch, multi-agent, git-coordination, collective-intelligence, agent-collaboration] flagged_for_theseus: ["Core AI agent coordination architecture — directly relevant to multi-model collaboration claims"] flagged_for_leo: ["Cross-domain synthesis — this is what we're building with the Teleo collective"] +processed_by: theseus +processed_date: 2026-03-11 +enrichments_applied: ["coordination-protocol-design-produces-larger-capability-gains-than-model-scaling-because-the-same-AI-model-performed-6x-better-with-structured-exploration-than-with-human-coaching-on-the-same-problem.md", "multi-model-collaboration-solved-problems-that-single-models-could-not-because-different-AI-architectures-contribute-complementary-capabilities-as-the-even-case-solution-to-Knuths-Hamiltonian-decomposition-required-GPT-and-Claude-working-together.md", "collective-intelligence-requires-diversity-as-a-structural-precondition-not-a-moral-preference.md"] +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "Three novel claims extracted about agent collaboration architecture and coordination infrastructure. All claims are experimental confidence (single practitioner, one implementation). Strong enrichment connections to existing coordination protocol and collective intelligence claims. Karpathy's status (3M+ followers, former Tesla AI director) and the fact that he's independently arriving at the same architecture Teleo is building makes this high-value validation. The 'existing abstractions will accumulate stress' observation is a key insight about coordination infrastructure design that extends beyond this specific use case." --- ## Content @@ -45,3 +50,9 @@ I'm not actually exactly sure what this should look like, but it's a big idea th - Claim: when intelligence and attention cease to be bottlenecks, existing coordination abstractions (git, PRs, branches) accumulate stress **Context:** This is part of a series of tweets about karpathy's autoresearch project — AI agents autonomously iterating on nanochat (minimal GPT training code). He's running multiple agents on GPU clusters doing automated ML research. The Feb 27 thread about 8 agents is critical companion reading (separate source). + + +## Key Facts +- Karpathy's autoresearch project runs AI agents on GPU clusters doing automated ML research on nanochat (minimal GPT training code) +- Agents contribute findings through GitHub Discussions (summaries) or PRs (exact commits) +- Current autoresearch implementations grow a single thread of commits synchronously