Giorgio Gilestro
ea051a5f92
E13c (the symmetry defense): alignment now runs modulo the FULL function-preserving unit symmetry group of a ReLU MLP (per-unit positive rescaling via canonicalise_scale, composed with Re-Basin permutations; sanity gate recovers a permuted-and-rescaled copy exactly). Verdict: the full group removes the independent-init barrier (residual 0.001) and essentially none of the conflict barrier (0.502 -> 0.497) — the residual is functional, not a missed symmetry (answers arXiv:2606.23607). The cliff gains a hybrid-fitness readout: merged accuracy 0.97 -> 0.03 with conflict. Floor proposition drafted (paper/si-notes.md S1): endpoint invariance + max(eps_A, eps_B) >= mu(S)/2 for any merged model under any alignment group. E13b (emergent divergence): pre-registered second reading — with NO conflicting training signal (disjoint class specialists; rolled-input conventions), residual is 0.000 at every divergence to t_div=3200, and the merge RESCUES the forgetting specialists (parents 0.535/0.474 -> merged 0.955; a sustained Fisher-Muller rescue at zero barrier). Speciation in real weights requires functional conflict; it does not emerge from compatible specialisation on shared ancestry. LLM-scale over-specialisation (cf. 2607.11997) deferred to Phase-3 llm_speciation. 3-panel figure, READMEs, +2 tests (149 green), make mnist wired. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BkRLcc18rwT2Lysu6PbG7v
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461 B
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18 lines
No EOL
461 B
JSON
{
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"experiment": "speciation_real_cliff",
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"master_seed": 13,
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"git_commit": "f5f68f52498402ba7cc6a5193e5e357be6357446",
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"python": "3.14.7",
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"libraries": {
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"numpy": "2.5.0",
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"scipy": "1.18.0",
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"pandas": "3.0.3",
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"pyarrow": "24.0.0",
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"torch": "2.12.1",
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"torchvision": "0.27.1"
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},
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"rows": 18,
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"results_sha256": "889945655a6efaba9d97eed409f24968c9f77764101bdfa05acdf00c8f8668b7",
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"layer": "1.5",
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"tier": "speciation_real"
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} |