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plombe

HN member
Joined
Thu, Mar 26, 2026, 2:13 AM UTC
HN karma
15
Public activity
17 items

About plombe

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Recent public activity

  1. story
    Ask HN: What do you think of this prompt as a benchmark for LLMs?

    Prompt: “Create a css animation showing how a 5-bit adder works.” Both Grok 4.5 and Opus 5 take a while to answer the question, with confusing results (Grok).

  2. comment
    Comment #48286188

    The design is reminiscent of a Honda e

  3. comment
  4. comment
    Comment #48252618

    Not surprised. There are worse things in the works.

  5. comment
    Comment #48252586

    Disagree. Misplaced context

  6. story
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    Comment #48168983

    Looks more like AI slop with paragraphs like these; > The pattern is identical across the board. Price for adoption, not for economics. Lock organizations in. Make AI a load-bearin…

  8. comment
    Comment #48168941

    Non-paywalled link: https://apnews.com/article/congo-ebola-uganda-who-africa-eme...

  9. comment
    Comment #48114864

    When I saw the name, Googlebook I had my fingers crossed that Google had finally built something that could compete with the Apple MacBook. If that ad is anything to go by, this wi…

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    Comment #47978766

    Is there any other African country that’s not this beholden to China?

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    Comment #47940583

    Not. You don’t need to pay $100 to upload your app to an iPhone, even with XCode for iOS 26

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    Comment #47905289

    Well Claude was named after Shannon

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    Comment #47858023

    Wasn’t composer trained on Kimi? Has anyone had a chance to compare the latest Kimi model to composer?

  14. comment
    Comment #47799049

    Anthropic shouldn't have released it. The gains are marginal at best. This release feels more like Opus 4.6 with better agentic capabilities. Mythos is what I expected Opus 4.7 to …

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    Comment #47694284

    Looks like a lightweight article. But memory usage went from 316MB -> 502 MB when I hit refresh. Not sure why? Any one have any ideas? Why does it need half a gig of ram in the fir…

  16. comment
    Comment #47595854

    Interesting post. Curious to know how they arrived at intelligence density = Negative log of the model's error rate divided by the model size.

  17. comment