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Record a cross-family discovery wave on local-model workloads beyond memory and RAG - #223
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seathatflowsinourveins merged 1 commit intoSep 25, 2026
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…memory and RAG Two blind lanes (Claude Opus 5.5 and Codex GPT-6 Astra) answered one frozen packet on which local-model workloads earn a place on a 64 GB M5 Pro for the US-equities north star and native agent engineering. One disagreement (tabular foundation models for +200% mover prediction) went to a blind GPT-6 Sol judge three times, with the letters swapped and the listing order reversed; all three judgments chose skip. The supplement registers 9 GitHub repositories (identities 850 -> 857) and records 18 Hugging Face-only models pinned by revision. Converged trials: catalyst tagging (Qwen3.8-27B with a GLiNER2 student), earnings-call ASR (Cohere Transcribe, Parakeet with FluidAudio), image-only exhibits (TeleOCR, PaddleOCR-VL-1.6), and volatility/volume features (Chronos-2, TTM r2.1). Each records its acceptance gate. Discovery only: nothing was installed, downloaded or executed. Co-Authored-By: Claude Opus 5.5 <[email protected]>
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September 25, 2026 01:26
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This records a cross-family discovery wave on one question: which local-model workloads, beyond memory and RAG, are worth running on a 64 GB M5 Pro for the US-equities north star and native agent engineering. It is discovery evidence only. Nothing named here was installed, downloaded or executed, and inclusion selects nothing.
Method
One frozen packet went to two blind lanes. Neither lane saw the other's return or the catalogs.
--ignore-user-configand hooks disabled.The lanes disagreed on one item: tabular foundation models for predicting +200% movers. A blind judge (GPT-6 Sol, high effort, live web search) reviewed the two returns three times, with lane identities scrubbed:
All three judgments chose skip, so listing position is counterbalanced for this question.
The evidence directory holds the packet, the sealed lane returns with their original sha256, the adjudication inputs and key, the judgment record, provenance, native usage (null where unknown) and
SHA256SUMS.Outcome
catalogs/us-equities/local-model-workloads-20260924.jsonholds 9 repository decisions (registered throughcatalog_decisions.py) and 18 non-repository decisions (Hugging Face models pinned by revision).Each item records its acceptance gate: a frozen dataset, a baseline and a metric. A trial becomes adoption only through an executed comparison.
Registration and counts
README.md,catalogs/us-equities/README.md,saturation-audit.jsonandmanifests/evidence.jsonare updated (files rehashed, convergence record appended).Limits
Verification
validate.py,validate_catalogs.py,landscape.py,catalog_decisions.py --check,evidence_manifest.py --check,validate_convergence.py --all-recorded(21 records),saturation_ledger.py --check,build_verdicts.py --check,build_ecosystem.py --checkandgit diff --check: all exit 0.python3 -m unittest: see the CI result.🤖 Generated with Claude Code