• 22 Posts
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Joined 3 years ago
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Cake day: July 16th, 2023

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  • It can only do the impressive numbers after you give it a schema for the data, and the data has to be structured in a way that follows a rigid schema, so it’s not magic.

    OpenZL compresses data into a self-describing wire format, any configuration of which can be decompressed by a universal decoder. OpenZL’s design enables rapid development of tailored compressors with minimal code; its universal decoder eliminates deployment lag; and its investment in a well-vetted standard component library minimizes security risks.

    The freedom afforded by OpenZL’s graph model is a double-edged sword: the capability it offers comes at the cost of a combinatorial explosion of choices that must be made—namely which components to use and how to compose and configure them. There is no one-size-fits-all compressor

    Webassembly for compression or something, but it’s made by the zstd people so maybe it will turn out to be magic eventually.

    On one hand the x2.06 ratio for the SAO data is extremely good, zpaq and paq8px are 50x and 10000x slower at encoding and decoding and still can’t even reach that ratio (I didn’t try even more extreme compression, paq8px -8 already took 20 minutes).

    On the other hand,

    enwik: A Case Study Where OpenZL Performs Poorly

    We present this case study to show that OpenZL is not a magic bullet for all use cases. The shortcomings are twofold. First, the standard codec library can achieve good results for many datasets, but is not currently optimized for human text. Second, English text is a highly compressible format for which domain- specific transformations are especially useful. xwrt combines multiple such transformations to achieve its results. With this in mind, we are optimistic that porting text-specific codecs and text parsing will improve the performance of OpenZL compressors in this domain.













  • Doesn’t end there

    The AI job apocalypse isn’t data-driven — it’s narrative-driven, engineered by people who profit when you’re scared. Fear is the product. Capital is the outcome.

    When a resource becomes dramatically cheaper to use, we don’t use less of it — we find a million new uses for it. If that sounds painless, keep reading.

    and that quote gets even more LLM when expanded

    The AI job apocalypse isn’t an economic forecast — it’s a marketing strategy. We’re not witnessing the end of work. We’re watching the monetization of fear.

    It’s two not X it’s Ys in a row!

    Galloway has always been a prolific em-dash user But pre-2023 phrases that strike on the same severity are hard to find ——mildly LLM at best.

    2022

    TikTok has 1.6 billion monthly active users — more than Twitter, Snapchat, and LinkedIn combined.
    The new occupant’s ascent to the Iron Throne was financed with a different currency — not monthly subscriptions or cable packages, but attention. Specifically, our youth’s attention.
    Competition depends on rules, and rules depend on umpires. We should fight to protect competition — not winners. Because winners subvert the process









  • The incredible thing is this is actually the result of an explicit design decision.

    The compiler accepts most GCC flags. Unrecognized flags (e.g., architecture- specific -m flags, unknown -f flags) are silently ignored so ccc can serve as a drop-in GCC replacement in build systems.

    They’re so committed to vibing that they’d prefer if the compiler just does random shit to make it easier to shove it haphazardly into a build pipeline.