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[–] 25 points 10 months ago (3 children)

To be fair an argument can be made for the Lego block one, using a novel combination of existing technologies to get better results is how nearly all innovation happens in machine learning.

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  • [–] 9 points 10 months ago (1 child)

    Proving a thing that's only known empirically is extremely valuable, too. We've an enormous amount of evidence that the Riemann hypothesis is correct - we can produce an infinite amount of points on the line, in fact - but proving it is a different matter.

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  • [–] 3 points 10 months ago

    Especially in ML too. It's currently easier to integrate multiple small specialised models than to train a big model for every use case. If I understand correctly, that was one of the main motivations for Anthropic developing the Model Context Protocol, including interacting with LLMs from front-end clients.

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  • [–] 19 points 10 months ago

    "Our model has no sense of permanence or real understanding of what words even mean and we re-interpreted this as the ability to lie."

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  • [–] 26 points 10 months ago (1 child)

    I fucking loathe the term "compute". Every time one of these mealy-mouthed motherfuckers lets it slide through sphincter-like lips I want to kick some teeth in.

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  • [–] 7 points 10 months ago

    “We repeat the experiment with a newer dataset and act like we are the first doing this kind of experiment”

    “We talk about possible applications in the future writing like your run-of-the-mill generalist newspaper”

    “Another article resuming other articles”

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  • [–] 3 points 10 months ago

    Missing the Survey paper: Here’s the results of 5-10 other papers

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