FatCrab

@FatCrab@slrpnk.net

• ⁨Comment⁩ on ⁨An AI That Promises to “Solve All Diseases” Is About to Test Its First Human Drugs⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  Diffusion models iteratively convert noise across a space into forms and that’s what they are trained to do. In contrast to, say, a GPT that basically performs a recursive token prediction in sequence. They’re just totally different models, both in structure and mode of operation. Diffusion models are actually pretty incredible imo and I think we’re just beginning to scratch the surface of their power. A very fundamental part of most modes of cognition is converting the noise of unstructured multimodal signal data into something with form and intention, so being able to do this with a model, even if only in very very narrow domains right now, is a pretty massive leap forward.

• ⁨Comment⁩ on ⁨An AI That Promises to “Solve All Diseases” Is About to Test Its First Human Drugs⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  A quick search turns up that alpha fold 3, what they are using for this, is a diffusion architecture, not a transformer. It works more the image generators than the GPT text generators. It isn’t really the same as “the LLMs”.

• ⁨Comment⁩ on ⁨[deleted]⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  Do you understand that even just in the category of communism, there is an enormous gamut of different approaches, of which you only seem to understand a very specific one? You understand that the bolshevicks, even under Lenin, murdered the “competing” communist groups, effectively regressing right back to authoritarianism and what would inevitably degrade into Stalinist autocracy? And so that even the, mischaracterizing, claim that “communism” went bad is basically nonsensical?

• ⁨Comment⁩ on ⁨Creative Commons is Introducing CC Signals: A New Social Contract for the Age of AI⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  I imagine not, though I haven’t looked into it.

• ⁨Comment⁩ on ⁨Creative Commons is Introducing CC Signals: A New Social Contract for the Age of AI⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  There are many open sourced locally executable free generative models available.

• ⁨Comment⁩ on ⁨Meta wins artificial intelligence copyright case in blow to authors⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  You are agreeing with the post you responded to. This ruling is only about training a model on legally obtained training data. It does not say it is ok to pirate works–if you pirate a work, no matter what you do with the infringing copy you’ve made, you’ve committed copyright infringement. It does not talk about model outputs, which is a very nuanced issue and likely to fall along similar analyses as music copyright imo. It only talks about whether training a model is intrinsically an infringement of copyright. And it isn’t because anything else is insane and be functionally impossible to differentiate from learning a writing technique by reading a book you bought from an author. Even a model that has overfit training data, it is in no way recognizable to any particular training datum. It’s hyperdimensioned matrix of numbers defining relationships between features and relationships between relationships.