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Design sketch: planned search, experiment ladder, multi-agent scaling - #25
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Captures Mengye's direction (2026-08-06) plus a first iteration: leader configs, twice-motivated plans as vetoable GitHub issues, pre-registered proof-of-idea before large runs, consolidation runs with leave-one-out ablation, per-agent identity/chains/credentials, repo-level assignment with frequency caps, seats via setup-token. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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Advisory review — not an approval. Automated findings from
Docs-only PR (a design sketch plus a pointer paragraph in architecture.md); there is no executable code, config, or test to verify, so all findings are design-gap observations rather than defects. The relative link |
…ceiling, ToS flag Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
v1 of docs/design/scaling.md — iterating with Mengye, explicitly not build-gating phase 4. Three parts: (1) a planning agent proposing hypothesis-motivated single-knob searches around a per-benchmark leader config, plans published as vetoable GitHub issues; (2) resource tiers with pre-registered small-scale proof-of-idea gating large runs, plus periodic consolidation runs with leave-one-out ablations; (3) multi-agent via repo-level assignment — persistent agent ids, one tick chain each, per-agent credentials (API key or subscription-seat setup-token), frequency caps. Ends with four open questions for the next iteration turn.
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