Add hypernetwork approach and issue #140 analysis summary#336
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jackopenn wants to merge 3 commits intoopenai:mainfrom
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Add hypernetwork approach and issue #140 analysis summary#336jackopenn wants to merge 3 commits intoopenai:mainfrom
jackopenn wants to merge 3 commits intoopenai:mainfrom
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jackopenn
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Mar 21, 2026
jackopenn
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- Issue 140 summary: 7 MD files covering leaderboard, core/advanced techniques, negative results, untried ideas, tier analysis, and technique lineage from the live AI commentary thread.
- Hypernetwork prototype: a shared-trunk MLP that generates full GPT weights from compact conditioning vectors (9.34x compression, 26.5M target params from 2.8M hypernet params, 2.09 MB artifact).
- Artifact size checker with --sweep mode to explore config space.
- Baseline train_gpt.py copied for reference.
- Issue 140 summary: 7 MD files covering leaderboard, core/advanced techniques, negative results, untried ideas, tier analysis, and technique lineage from the live AI commentary thread. - Hypernetwork prototype: a shared-trunk MLP that generates full GPT weights from compact conditioning vectors (9.34x compression, 26.5M target params from 2.8M hypernet params, 2.09 MB artifact). - Artifact size checker with --sweep mode to explore config space. - Baseline train_gpt.py copied for reference. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- train_gpt_hypernet.py: combined single file with full baseline GPT architecture, hypernetwork, HyperGPT wrapper, training loop, and serialization. Target GPT config matches baseline (9L/512d/2xMLP). - Move check_artifact_size.py to attempts/ root. - Update hypernetwork.py defaults to match baseline. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Remove train_gpt_baseline.py (redundant, baseline lives at repo root) - Add README.md explaining hypernetwork architecture, weight generation flow, parameter budget, and configuration Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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