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Running LLMs larger than memory on a consumer Mac — falsification-driven research: margin-gated deferred refinement, out-of-core verification on Apple Silicon. TR-01 published.

Python 63.2% JavaScript 23.5% CSS 11.8% Shell 0.9% Makefile 0.5%

History of experiments/micro/expD_progressive_reconstruction/hypothesis.md · clear filter

  1. expD: results — progressive coding validated, two-tier policy 97.6% @ 35% esc
    Monotone convergence, gating composes across stages, static-parity
    caveat recorded; bytes-per-escalation identified as binding unknown.
    
    Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
    Simon-Pierre Boucher committed 7 h ago (Aug 12, 2026) · 1 file changed +13 −4
  2. expD: progressive residual-ladder benchmark + hypothesis; shared decision_stats lib
    Residual ladders 3/3+3/3+3+3 and 4/4+4 bits (affine g64), teacher-forced
    convergence, two-tier margin-gated policies, hidden-state error by depth.
    Shared utilities extracted to src/localvm/quality/decision_stats.py.
    
    Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
    Simon-Pierre Boucher committed 7 h ago (Aug 12, 2026) · 1 file changed +38 −8
  3. Bootstrap: charter-compliant skeleton, header enforcement, hardware manifest, experiment scaffolds
    - Repository layout per CLAUDE.md §3
    - tools/check_headers.py enforcing §0.1 (58 files pass)
    - tools/new_experiment.py scaffolding with seven-field hypothesis block (§10)
    - benchmarks/hardware_manifest.py: macOS-native fingerprint (M5 Max / 48GB verified)
    - Eight micro-experiment scaffolds (§9, exp A–H)
    
    Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
    Simon-Pierre Boucher committed 8 h ago (Aug 12, 2026) · 1 file changed +33