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Joined 3 months ago
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Cake day: December 10th, 2024

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  • There’s no real need for pirate ai when better free alternatives exist.

    There’s plenty of open-source models, but they very much aren’t better, I’m afraid to say. Even if you have a powerful workstation GPU and can afford to run the serious 70B opensource models at low quantization, you’ll still get results significantly worse than the cutting-edge cloud models. Both because the most advanced models are proprietary, and because they are big and would require hundreds of gigabytes of VRAM to run, which you can trivially rent from a cloud service but can’t easily get in your own PC.

    The same goes for image generation - compare results from proprietary services like midjourney to the ones you can get with local models like SD3.5. I’ve seen some clever hacks in image generation workflows - for example, using image segmentation to detect a generated image’s face and hands and then a secondary model to do a second pass over these regions to make sure they are fine. But AFAIK, these are hacks that modern proprietary models don’t need, because they have gotten over those problems and just do faces and hands correctly the first time.

    This isn’t to say that running transformers locally is always a bad idea; you can get great results this way - but people saying it’s better than the nonfree ones is mostly cope.













  • The thing I said I did? Yes; here’s the processed image:

    If you mean the math in the post, I can’t read it in this picture but it’s probably just some boring body-of-rotation-related integrals, so basically the same thing as I did but breaking apart the vase’s visible shape into analytically simple parts, whereas I got the shape from the image directly.


  • This roughly checks out. I’m getting 66%, based on the methodology of cutting out the jug’s shape from the picture and numerically integrating the filled and empty volume (e.g. if a row is d pixels wide, it contributes d^2 to the volume, either filled or empty depending on whether it’s above or below the water level).



  • I wouldn’t generally require people to “compile their findings into a report”, but in this case the messages are weirdly devoid of any checkable information and then the reddit user in question mysteriously lost a laptop full of findings, so, yeah, these claims are not compelling. I don’t think the reverse engineer in question was lying, per se, but I do think they were very wrong at first by random chance, the story gained traction, and then they were too embarrassed to admit they fucked up.