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297 posts · news.ycombinator.com

  1. How Uber Protects Against Retry Storms

    Uber developed a context-aware mechanism to prevent retry storms in deep microservice dependency chains. It introduces "error ownership" where services claim errors they originate and unclaim errors they propagate, allowing upstream callers to make informed retry decisions and avoid amplifying load on already struggling services.

    Hacker News front pageuber.com12 minHN11949
  2. Bonsai 2 27B: Near-Lossless Compression in a 9x Smaller Footprint

    Ternary Bonsai 2 27B is a new multimodal LLM based on Qwen3.8 27B, utilizing ternary weights for a 5.9GB model footprint. It achieves over 9x compression while retaining 98.2% of the full-precision model's aggregate benchmark performance across various tasks. This enables highly capable 27B-class models to run efficiently on local devices.

    Hacker News front pageprismml.com5 minreleaseHN579198lobste.rs12
  3. The Farnese letter

    The author reverse‑engineers a 1542 Italian cipher from a Farnese letter by combining digit‑frequency analysis with a beam‑search decoder guided by a five‑gram Italian language model, ultimately recovering the key and partial plaintext.

    Hacker News front pagesimonklee.dk42 minHN476
  4. Towards Self-Driving Codebases

    The post argues that AI agents could eventually handle low‑level engineering tasks—bug fixing, debugging, UI consistency, growth experiments—if the dev toolchain is made “agent‑legible”. It outlines missing primitives (global memory, code‑base rot prevention, better dev environments) and proposes a bootstrapping process to measure and improve a repo’s “agent readiness”. The piece is largely specu…

    Hacker News front pagedetail.dev9 minHN12099
  5. Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

    The paper presents Infinite-Parameter LLMs, where a compact hypernetwork creates feed‑forward weights from live user data and updates a Bayesian latent code online, keeping the stored model size constant while effectively having infinite parameters. This design aims to improve over standard in‑context learning and retrieval by persisting knowledge in weights and freeing context space.

    Hacker News front pagearxiv.org2 minpaperHN15743
  6. Rate limits on GitLab.com are changing

    GitLab.com will tie API rate limits to subscription tiers: free users (and unauthenticated IPs) get 60 req/hr, while Premium/Ultimate get higher per‑user and per‑group caps starting Oct 19 2026 (free) and Jan 2027 (paid). Authenticated requests use the plan’s limits; hitting a limit returns 429 with Retry‑After. Preview “brownout” windows on Oct 7 and 14 let you test the new caps. If you need mor…

    Hacker News front pagegitlab.com4 minHN174127