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Re:Byte Latent Transformer: Patches Scale Better Than Tokens by CuriousSkeptic on Saturday December 14, 2024 @05:36AM (#42416125)
> History teaches us that end to end learned system beats human designed mechanisms

I think this may need some qualifiers

Even byte representations are human designed encodings. I would think a human designed decoder of such encodings must be more efficient than learning. Sure bytes encoding a stream of unicode code points maps fairly easy to useful information. But bytes representing a zip compressed collection of PDF files?

I did wonder though, training on text encoding vs pixel encoding, perhaps brute forcing OCR, like humans, will be more flexible in the end then being limited to text encodings.

Re:Byte Latent Transformer: Patches Scale Better Than Tokens by paraschopra on Saturday December 14, 2024 @07:41AM (#42416729)
>Even byte representations are human designed encodings

The point is that it can model any sequence of bytes. It's what-follows-what that matters, not how we're encoding it.