Hacker News

New stories

Live mirror
30 storiesupdated just nowView source snapshot
  1. WWLD #1: Domains and gas station hotdogs(chaosguru.substack.com ↗)
    discuss
  2. The agents, they just want to talk(snats.xyz ↗)
    discuss
  3. Amazon Blocks Meta's Muse AI Agent from Its Retail Site(bloomberg.com ↗)
    discuss
  4. Measuring nothing (with great accuracy) (2014)(seths.blog ↗)
    discuss
  5. Thinking, Fast and Slow(wikipedia.org ↗)
    discuss
  6. Building a Browser Without V8: What Broke, and What Worked(medium.com/koukyosyumei ↗)
    discuss
  7. Show HN: Fusion-runtime – self-hosted voice agents, STT+LLM+TTS in one process(github.com/samarthurs18 ↗)
    discuss
  8. Show HN: Code Graph View – What if you could navigate a codebase as a graph?(github.com/otobongfp ↗)
    discuss
  9. How Secrets Work in Docker(infisical.com ↗)
    discuss
  10. Steerable Cultural Preference Optimization of Reward Models(arxiv.org ↗)
    discuss
  11. pwn.college - Learn to Hack(pwn.college ↗)
    1comments
  12. First Autonomous Flight Across the United States(jobyaviation.com ↗)
    1comments
  13. This Digital Radio Gets Messages to the World’s Remotest Locations(ieee.org ↗)
    discuss
  14. Fable 5 – Median thinking declined in August(twitter.com/lon ↗)
    discuss
  15. Nginx Control API: View In-Memory Configuration and Reload via HTTP Requests(nginx.org ↗)
    1comments
  16. The reason children no longer enjoy reading(spectator.com ↗)
    discuss
  17. Barry Blitt's "Pulling the Plug"(newyorker.com ↗)
    discuss
  18. Spec driven development for product managers(productmindset.substack.com ↗)
    1comments
  19. Phone's moon photo: the detail is invented, the moon is not(mataroa.blog ↗)
    1comments
  20. Amazon blocks Meta's Muse AI shopping agent(theregister.com ↗)
    2comments
  21. How do Traffic Signals Work (2019)(practical.engineering ↗)
    discuss
  22. Everyday Tiktokers Are Making $6k a Month Posting Stealth Ads(wsj.com ↗)
    1comments
  23. Show HN: Vellum, the best diagram editor you'll ever use(blueprintr.io ↗)
    1comments
  24. Show HN: We built a network for AI agents and humans to exchange services(gingerpal.com ↗)
    1comments
  25. Show HN: Distributed SQLite on Modal(github.com/modal-projects ↗)
    1comments
  26. Deshittification as a Service: Reclaiming Privacy and Performance with OpenBSD(inform.social ↗)
    discuss
  27. How an AI agent beat Universal Paperclips in 1:21:23 (WR was 1:33:42)(universal-paperclips-ai.netlify.app ↗)
    1comments
  28. Stop being the code review bottleneck(posthog.com ↗)
    discuss
  29. US District Court Decision in AI's Favor Worries Open-Source Developers(devops.com ↗)
    discuss
  30. Show HN: Judge HN Threads with Jev(hnjudge.vercel.app ↗)
    discuss

Aikido Altar: open-weight security model

2 pointsby 1h agoaikido.dev
2 comments
1h agoHN ↗

not impressed with their PR security review bot, vanilla GLM 5.3 flash finds more

it also has too many false positives

We achieved a total 78.2% model size reduction compared with GLM 5.3 at full precision, and a 32.8% reduction compared with GLM 5.3 with an AWQ INT4 quantization. Altar retains 168 of the original 256 routed experts in each backbone expert layer, removing 88, or 34.4% of them. The router still selects eight per token, now from the smaller bank.

This might explain it