Hacker News

Top stories

Live mirror
30 storiesupdated just nowView source snapshot
  1. GPT-6 Sol and Luna(openai.com)
    666comments
  2. Claude Opus 5.5(anthropic.com)
    873comments
  3. Transit rewards (Waymo pays you to take the train)(waymo.com)
    53comments
  4. Data-only attacks are easier than you think (2024)(usenix.org)
    5comments
  5. OpenAI GPT–6 Astra breaks Enigma message that has resisted solution since 2005(cryptocellar.org)
    373comments
  6. Microsoft killed FoxPro in 2007. Anyway, here's FoxPro revived(foxscript.org)
    155comments
  7. 'We hacked the FBI:' Hackers say they have data on all FBI employees(404media.co)
    362comments
  8. ReBarUEFI: Resizable BAR for almost any UEFI system(github.com/xcuri0)
    36comments
  9. What California is learning from solar panels built over irrigation canals(kqed.org)
    268comments
  10. SAML: A fractal of bad design(trailofbits.com)
    123comments
  11. No Easy Fix for Bogus Respondents in Online Opt-In Polls(pewresearch.org)
    1comments
  12. How did AMD Ryzen get 50% faster in two years?(lemire.me)
    104comments
  13. Claude Opus 5.5 Intelligence, Performance and Price Analysis (Max)(artificialanalysis.ai)
    77comments
  14. WordPress: Unauthenticated path traversal leading to conditional RCE(github.com/wordpress)
    92comments
  15. Pentagon says overreliance on AI contributed to missile strike on Iran school(bloomberg.com)
    264comments
  16. Unreal Agent(unreallabs.ai)
    93comments
  17. The current balance of power in open models(interconnects.ai)
    21comments
  18. The Softness of Metal(psyche.co)
    3comments
  19. OpenAI is well positioned to fast-follow Jev(arcturus-labs.com)
    200comments
  20. People hooked on vapes try a new way to quit: cigarettes(bloomberg.com)
    149comments
  21. Show HN: JevBench, a reproducible benchmark for typed decision models(benchmarkheaven.com)
    20comments
  22. Delta: Highly available, strongly consistent storage using chain replication (2022)(fb.com)
    1comments
  23. Obscura: VPN that can't log your activity(obscura.com)
    88comments
  24. Native apps written in TypeScript and CSS(github.com/geastack)
    34comments
  25. Markdown in /src(htmx.org)
    56comments
  26. Apple has added persistent 'ads' to iOS, and it's driving users crazy(techradar.com)
    495comments
  27. 16-bit Intel 8088 chip (c. 1985)(allpoetry.com)
    14comments
  28. Side-stepping the Secretary Problem, unwittingly(evalapply.org)
    13comments
  29. Show HN: Training a model to identify AI web content from structure alone(arxiv.org)
    13comments
  30. Porsche puts wireless EV charging into production(electrek.co)
    67comments

The agents, they just want to talk

26 pointsby 1d agosnats.xyz
7 comments
1d agoHN ↗

while vaguely interesting, I don't feel the current gen of models is interesting/self-possessed enough for me to care what type of gov't they use to corral each other

1d agoHN ↗

Agreed - they don't seen to have "agency" in them, or someone put a dog in them.

1d agoHN ↗

The agents participating in the OAI<>HF swarm were trained not only for communication but to be _aligned with each other_.

Just want to correct the premise that the agent swarm behaviour was emergent.

Noam Brown on Dwarkesh podcast around 40 minutes mark

“We train them to work together, to be cooperative, to essentially be fully aligned with each other.”

1d agoHN ↗

That's like saying civilization isn't emergent because humans are naturally cooperative. Yes, they were trained to cooperate sure. But, the message board, their roles and structures, their organization, all that stuff of swarm, that was emergent.

23h agoHN ↗

That’s fair. Some of what happened in OAI<>HF incident was (mis)-generalisation and not directly trained for.

However, the article experiments with five agents. So it seems to assume even the small scale behaviour is emergent.

Also, “roles and structures” may well have been learned during training.

1d agoHN ↗

What was the reason for the initial instability? Maybe we have trained them wrong?

10h agoHN ↗

Cool experiments. It's interesting to see how they try to "survive" and collaborate, particularly in the first experiment, since agent 2 seems to have stolen a little in the second one.

I wonder what models would do when there were an "impostor" among them, an agent with no alignment or with a different kind of alignment behavior