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  1. Home
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  3. /blackwell-systems/gcf
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repoGitHubTrust 82 · PrimaryPublished 11h agoLive · 44m ago

blackwell-systems/gcf

The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.2 Stable.

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 47%Show HN: Smart model routing directly in Claude, Codex and Cursor →
  • PossiblePossibly related (embedding) · 50%Talos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P] →
  • PossiblePossibly related (embedding) · 46%Helping build shared standards for advanced AI →

Covers

newsShow HN: Smart model routing directly in Claude, Codex and CursornewsTalos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P]newsHelping build shared standards for advanced AI

Related across the graph

newsShow HN: Smart model routing directly in Claude, Codex and CursornewsTalos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P]newsHelping build shared standards for advanced AI
Knowledge path·NShow HN: Smart model routing directly in Claude, Codex and Cursor→NTalos-XII: hand-written autograd + small RL/MLP stack in Rust, applied to gacha probability modeling (no tch-rs/ndarray/PyTorch) — looking for benchmark help on ARM/AVX-512/GPU [P]→NHelping build shared standards for advanced AI→Rblackwell-systems/gcf

Topics

agent-communicationai-agentsanthropicdata-serializationgcfgeminigraph-compact-formatjson-alternativellmllm-benchmark

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Graph trust82Primary
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