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Reading the Prompt You Did Not Send: Detection at the Inference Boundary

https://medium.com/system-weakness/reading-the-prompt-you-did-not-send-detection-at-the-inference...
1•hevalon•2m ago•0 comments

Rocket Lab announces five-launch Neutron deal as it aims for late 2026 debut

https://spaceflightnow.com/2026/05/07/rocket-lab-announces-five-launch-neutron-deal-as-it-continu...
1•rbanffy•2m ago•0 comments

Deep codebase context cuts Claude Code's token cost by 47%

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1•Sushrutkm•5m ago•0 comments

Show HN: ShadowCat – file transfer through QR Codes in a Browser

https://github.com/unprovable/ShadowCat
1•unprovable•5m ago•1 comments

Twelve Ways to Be Wrong About AI-Assisted Coding

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Amiga Programming Languages

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Chess Invariants

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A top K-drama star faces explosive backlash over AI-manipulated voice evidence

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DTLS Support Entering Node.js

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Open in hackernews

Show HN: DualMix128 – A fast, simple PRNG passing PractRand (32TB) and BigCrush

https://github.com/the-othernet/DualMix128
5•the_othernet•1y ago
Hi HN,

I'd like to share DualMix128, a pseudo-random number generator I developed. It's written in C and achieves very high speed while maintaining strong statistical properties for non-cryptographic use.

GitHub (MIT License): https://github.com/the-othernet/DualMix128

Key points:

* *Fast:* Benchmarked at ~0.36 ns per 64-bit generation on GCC 11.4 (-O3 -march=native). This was over 2x faster than `xoroshiro128++` (~0.74 ns) and competitive with `wyrand` (~0.36 ns) in the same tests. (Benchmark code/results in repo).

* *Robust:* Passes the full TestU01 BigCrush suite and PractRand up to 32TB with no anomalies reported. (Test harnesses/logs in repo).

* *Simple Algorithm:* Uses a 128-bit state (two `uint64_t`) with simple mixing based on addition, XOR, rotation, and a final multiplication by the golden ratio constant.

* *C Implementation:* Minimal dependencies (`stdint.h` for core), straightforward C code.

This came out of exploring simple constructions for efficient PRNGs that still hold up under heavy statistical testing.

Curious to hear feedback on the design, performance, potential applications, or any weaknesses you might spot. Thanks!

Comments

thomaskoopman•1y ago
Very cool, fast and looks like it should vectorize too. Do you have a jump function for parallel seeding?

How did you come up with this, some number-theoretic basis or more experimental?