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  1. AI-generated posters don’t have to be horrible(john.hartnup.uk ↗)
    65comments
  2. Human brain is two separate organs, Stanford Medicine-led research finds(stanford.edu ↗)
    105comments
  3. If math is more than proof, we need to better celebrate the rest of it(terrytao.wordpress.com ↗)
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  6. "The Secret Life of Circuits" is here(coredump.cx ↗)
    17comments
  7. San Francisco Onion Futures Company(onionfutures.com ↗)
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  8. Apple M6 Pro Achieves the Highest Single-Core CPU Score in Geekbench 7(geekbench.com ↗)
    43comments
  9. Cloudflare Quick Tunnels(cloudflare.com ↗)
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  10. SDCC – Small Device C Compiler(sourceforge.net ↗)
    18comments
  11. Science Is Open Software(jepedersen.dk ↗)
    38comments
  12. How to Write with an LLM(sockpuppet.org ↗)
    336comments
  13. Saving another 100TB of RAM(cloudflare.com ↗)
    79comments
  14. Why building a Rust LSP is hard(rust-glancer.github.io ↗)
    32comments
  15. How OpenAI Used Its Own LLMs to Design Its Jalapeño Chip(ieee.org ↗)
    91comments
  16. You can run Git on object storage if you re-make packfiles(tigrisdata.com ↗)
    15comments
  17. Ctenophores: Wonders of Biology(quantamagazine.org ↗)
    6comments
  18. NASA-IBM Lunar Foundation open-Source Geospatial AI Model(usra.edu ↗)
    2comments
  19. The first new cat species discovered in 100 years(nationalgeographic.com ↗)
    105comments
  20. Communication by means of modulated Johnson noise(pnas.org ↗)
    discuss
  21. OpenJev(openjev.com ↗)
    267comments
  22. Goroutine Leak Profiles(go.dev ↗)
    4comments
  23. Show HN: Cactus Needle 3: 8-29MB automation models can match DeepSeek V4 Flash(cactuscompute.com ↗)
    89comments
  24. Photon-Emission-Guided Laser Fault Injection Enables RP2350 Secure Debug(ledger.com ↗)
    71comments
  25. Typesafe-computer-use drives a Mac toward a goal for 1/50th of a cent per step(github.com/awlevin ↗)
    52comments
  26. Cache-to-Cache: Direct Semantic Communication Between LLMs (2025)(arxiv.org ↗)
    13comments
  27. Warez: The Infrastructure and Aesthetics of Piracy (2021)(archive.org ↗)
    71comments
  28. Inside ZCode: Silently uploading your Git history to the cloud(ferstar.org ↗)
    100comments
  29. Cyclomatic Complexity in C#(ndepend.com ↗)
    24comments
  30. Veronese's Dogs(publicdomainreview.org ↗)
    1comments

How come AI-related posts get so many points on HN?

18 pointsby 3h ago
16 comments
Have we all decided to rebrand Hacker News as a platform for discussing AI? I think that the too many people love to discuss harshly about AI
3h agoHN ↗

The submitter reduced the complexity of the situation to a whim, and misrepresented it.

Reality is what it is, some heavier some lighter: we discuss reality, its details ranked by weight.

3h agoHN ↗

It's the cutting edge and it's a bit wild west. There is a lot of room for innovative use cases that, whether actually practical or not, can be marketed and sold as practical.

3h agoHN ↗

Points aren't that meaningful but that's the part that is a "popularity contest."

For what it's worth.

2h agoHN ↗

Just like AI-related projects on GitHub always get an entirely different order of magnitude of stars. This is what people are focused on, outshines anything else.

2h agoHN ↗

Because if the idea is interesting, it's interesting.

2h agoHN ↗

Dont know about that.

A significant portion of the posts are of the type "new version of model X was just released" or "I just built something by prompting an LLM a few times".

Latest papers from DeepSeek and DeepMind on the other hand are rarely discussed and if ever posted the comment section quickly turns into political discussions or my bigcorp is better than your bigcorp wars.

2h agoHN ↗

That of HN is a largely non-random public, not a fully selected public. Of course Paretian distributions are also valid here.

(Edit: and it is evident in this very page.)

1h agoHN ↗

Most people here aren't experts in the underlying technology. But they do work with it regularly and are interested in the latest developments in the tooling.

2h agoHN ↗

AI discussions attract people who love it, who hate it and who are tired of hearing about it. All three groups end up opening the thread and commenting.

2h agoHN ↗

Because it is the hot new thing and HN is a hype machine. Before AI there were crypto and blockchain, after AI there will be something else.

46m agoHN ↗

There will be on HN. Artisinal Intelligence, Biological Inference, Living Local Models, whatever. If the AI hype turns out to be real there will be a counter-revolution where the usual suspects start pushing their abacus-enhanced lifestyles, guaranteed AI-free.

2h agoHN ↗

I have no doubt there is lot of boosting going on. Essentially entire industry is build on boosting in many ways. So manipulating any available discussion platform is almost certain.

2h agoHN ↗

If the latest AI swarm from OAI decided to astroturf HN, we probably would struggle to know. It seems easy relative to coordinating a massive hack of Hugging Face.

So I half stopped paying attention to enthusiastic posts and comments about AI.

54m agoHN ↗

It's self explanatory. People are very interested in it. Every new computing Wave comes with months or years of non-stop articles here. I remember when Twitter was released, people wouldn't talk about anything else for a while.