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1. open-bposit open-bposit Public

   Open, bit-reproducible low-precision number format (b-posit / AI-Posit) for AI inference — 30–50% less memory, with results identical to the bit on any GPU, CPU, or RISC-V. Reference + conformance …

   Python 4

2. mosyne-bposit mosyne-bposit Public

   Bounded Posits at IEEE Tensor-Core Throughput on Commodity NVIDIA Blackwell, with Bit-Exact Reproducibility

   Python 1

3. computation-receipts computation-receipts Public

   Re-executable certificates for numeric computation — bit-exact verification on any hardware, no trusted machine.

   Python 1

4. rl-reproducibility rl-reproducibility Public

   Float accumulation order alone flips RL reward verdicts and sampler/trainer probabilities — reproduce it on real GPT-2, then remove it with an order-independent reduction. numpy-only, runs in seconds.

   Python

5. invar invar Public

   Local AI that proves its work. Every inference gets a re-executable, cryptographically chained receipt — no cloud, no account, no drift.

   Python