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Re:Byte Latent Transformer: Patches Scale Better Than Tokens by mdaniel on Monday May 12, 2025 @04:20PM (#43967058)
I've secretly wondered if the next (ahem) quantum leap in output quality will arrive with quantum computing wherein answering 10,000 if statements simultaneously would radically change the inference pipeline

But I am also open to the fact that I may be thinking of this in terms of 'faster horses' and not the right question

Re:Byte Latent Transformer: Patches Scale Better Than Tokens by spindump8930 on Monday May 12, 2025 @04:46PM (#43967291)
It's not clear how your perception of quantum computing would lead to 'faster horses' in the current view of NN architectures - keep mind that the common view of 'exploring many paths simultaneously' is at best an oversimplification (https://scottaaronson.blog/?p=2026).

That said, perhaps advances in computing fundamentals would lead to something entirely new (and not at all horselike).

Re:Byte Latent Transformer: Patches Scale Better Than Tokens by anon291 on Monday May 12, 2025 @04:57PM (#43967394)
If you can tie in a loss function for a neural network into the quantum excitement state of a quantum system, then presumably, letting the system settle at the energy minimum would be equivalent to a training step, but perhaps much faster.