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ordinarily

HN member
Joined
Thu, May 08, 2025, 9:23 PM UTC
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35 items

About ordinarily

Universal abstraction trying to piece it all back together.

zchry.org

Recent public activity

  1. comment
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    Comment #49159736

    It's very basic honestly, NextJS on Vercel + Tailwind 4. Wanted to keep it as simple as possible.

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    Show HN: I built a faster, simpler Letterboxd alternative

    I always wanted a more intuitive movie watchlist app so I spent the last couple of weeks building one: https://www.queuebrick.com is a fast and elegantly simple movie (and tv) trac…

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    Comment #48463913

    I think most of Google's deep research projects were done in the pursuit of pure science, not monetization or productization. In hindsight sure, it looks like they missed an opport…

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    Comment #48456546

    Google literally invented the boat (transformers) to be fair.

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    Comment #47987303

    I mean, looking at the state of things right now in the US, I'd have to strongly disagree with you.

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    Comment #47987298

    I just mean ontologically, it does not surprise nor terrify me that a machine built to simulate human output also simulates the worst of us.

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    Comment #47958019

    Doesn't seem that surprising or terrifying to me. Humans come equipped with a lot more internal biases (learned in a fairly similar fashion), and they're usually a lot more resista…

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    Comment #47899023

    The transients were pretty easy to replicate yes. The nuclear testing stuff was pretty inconclusive but they have a much better curated collection of plates that aren't available y…

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    Comment #47893900

    Awhile ago I built my own ML pipeline to automate scanning these plates, it was very revealing. Beatriz and her team were very helpful. https://arxiv.org/abs/2604.04810

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    Comment #47893886

    They're there before the tests though, and potentially more frequent around nuclear testing calendar days. The argument has never been "these only showed up after a nuclear test."

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    Show HN: A small neural net asks if physical law is inevitable for any observer

    I built a small neural network (a GRU) that works similarly to how you and I work. It sees short, noisy snapshots one at a time, has a small internal memory that carries forward, a…

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    Comment #47656472

    It's genuinely a great introduction to LLMs. I built my own awhile ago based off Milton's Paradise Lost: https://www.wvrk.org/works/milton

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    Comment #47581723

    Nope, they're surprisingly hard to get ahold of. So I've resorted to being extremely noisy online. Temporal accumulation: imagine you're observing a signal through a narrow window …

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    Comment #47454729

    I've been doing this for about a month. I also have wildly complicated ML pipelines working similarly in parallel. When Karpathy's 'autoresearch' came out I was surprised by how no…

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    Comment #46915033

    Awhile I made something really dumb: https://www.warpstream.com/etc/terminal you can enter a 'gibson' command.

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    Comment #44860544

    This is awesome! We got some really technical deep dives here https://www.warpstream.com/blog-category/engineering

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    Comment #44583265

    Horizontal space is still a premium regardless of monitor size when designing/building for responsive viewports. Vertical space is almost zero cost in terms of design constraints. …