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Joined 1 year ago
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Cake day: May 10th, 2024

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  • I’ve got good news for you: Storage is now unbelievably cheap compared to just a few years ago.

    I’ve forgotten what deleting a file even means.

    Years ago when I started ripping CDs people called me an idiot for not using MP3 instead of flac. They aren’t laughing now. I fully admit that MP3 can be transparent at high bitrates and modern codecs even more so but that’s for the end device (like my car or phone) not archival.

    The same will be true with my Blu Ray collection stored as decrypted ISO files… I hope.






  • Btw I didn’t down vote you.

    Your reply begs the question which definition of AI you are using.

    The above is from Russells and Norvigs “Artificial Intelligence: A Modern Approach” 3rd edition.

    I would argue that from these 8 definitions 6 apply to modern deep learning stuff. Only the category titled “Thinking Humanly” would agree with you but I personally think that these seem to be self defeating, i.e. defining AI in a way that is so dependent on humans that a machine never could have AI, which would make the word meaningless.


  • What algorithm are you referring to?

    The fundamental idea to use matrix multiplication plus a non linear function, the idea of deep learning i.e. back propagating derivatives and the idea of gradient descent in general, may not have changed but the actual algorithms sure have.

    For example, the transformer architecture (that is utilized by most modern models) based on multi headed self attention, optimizers like adamw, the whole idea of diffusion for image generation are I would say quite disruptive.

    Another point is that generative ai was always belittled in the research community, until like 2015 (subjective feeling would need meta study to confirm). The focus was mostly on classification something not much talked about today in comparison.