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mcbuilder

HN member
Joined
Fri, May 02, 2014, 2:07 PM UTC
HN karma
1,358
Public activity
328 items

About mcbuilder

hnchat:4PyGw6FRqOxX8rD10LHD

Recent public activity

  1. comment
    Comment #49134597

    Great distribution and great community!

  2. comment
    Comment #49123581

    I love deepseek's (Pro) writing. I feel it's more nuanced and natural.

  3. comment
    Comment #49123518

    I don't think it's necessarily "wiser" to go closed source. All of AI is built on mostly openness, at least on the software side. There are other ways to compete, it's just the mod…

  4. comment
    Comment #49122235

    Also base models versions are very useful for researchers, since they allow for a cold start to post training.

  5. comment
    Comment #49083948

    Compared to the Opus 5 "model card", which read like a standard Anthropic set of alignment principles and safety concerns, this presents a plethora of useful technical details that…

  6. comment
    Comment #49047155

    Non homogenized, lightly flash pasteurized milk has been my favorite for years. Just tastier, luckily I grew up in a little strange town where it was norm, and I don't have the wei…

  7. comment
    Comment #49039413

    Have you played Arc 3? It seems like more of a simple optimization problem (think Sokoban) than anything approaching fluid intelligence. Whether a multi hundred billion dollar comp…

  8. comment
    Comment #49038491

    Just like we trained on human language to create LLMs, we can train on human keystrokes with a similar algorithm and spit out believable (at least statistically) "human" keystrokes…

  9. comment
    Comment #49022354

    We have probably hit a limit to scaling LLMs through raw parameter count alone, at least we're not seeing the exponential pace. I personally think we'll end up with a nice sigmoid …

  10. comment
    Comment #48737127

    I consider myself to be in that cohort as well. :)

  11. comment
    Comment #48736741

    LRMs are plateauing for sure, not that there won't be gains to be had in the future, but it's not like the era of rapid progress that was the past year any more.

  12. comment
    Comment #48584370

    Yeah, it's actually the case. Researchers have shown that the models response doesn't always follow from the reasoning. Whether you consider that an internal language or not really…

  13. comment
    Comment #48575616

    I'm a white dude from Iowa, working in top levels of AI/ML. I'm in the minority at work/conferences. I hardly ever even interview homegrown US job candidates. I'm just saying, that…

  14. comment
    Comment #48575133

    I've always found this line of reasoning troubling and uninformed. Chinese models first of all can be hosted on your own hardware, I'd argue they are way more transparent than US c…

  15. comment
    Comment #48345653

    [flagged]

  16. comment
    Comment #47304124

    I did the exact same thing except a virtualized opensense router and bare metal kubernetes on one host. The kubernetes broke and I downgraded from 32GB of RAM to 16GB . I actually …

  17. comment
    Comment #46915258

    Free Monads are everywhere. Learning Haskell at this time was such an amazing experience. Haskell has incredible library stability, the kmettoverse feels the same, my is still good…

  18. comment
    Comment #46892211

    Opencode has been a thing for a while now

  19. comment
  20. comment
    Comment #46184725

    Yeah, this is exactly what I was thinking. LLMs don't have precise geometrical reasoning from images. Having an intuition of how the models work is actually.a defining skill in "pr…

  21. comment
    Comment #46112785

    After using it a couple hours playing around, it is a very solid entry, and very competitive compared with the big US relaeses. I'd say it's better than GLM4.6 and I'm Kimi K2. Loo…

  22. comment
    Comment #46058820

    Yeah, financial bubble != useless technology. Maybe coding agents do cost $50 per month in the long term, but I might just pay that for entertainment and personal stuff. Like, I do…

  23. comment
    Comment #44551091

    This article stands as complete hype. They just seem to offer an idea of "replication training" which is just some vague agentic distributed RL. Multi-agent distributed reinforceme…

  24. comment
    Comment #44486873

    Alan Turing had a great test (not definition) of AGI, which we seem to have forgotten. No I don't think an LLM can pass a Turing Test (at least I could break it).

  25. comment
    Comment #44089364

    I think it gave up trying to solve Pokemon. :) Seriously, aren't these ARC-AGI problems easy for most people? They usually involve some sort of pattern recognition and visual reaso…