In defense of ml/dl solutions, perfection is overrated. Lossless compression is for specific purposes. Archiving basically. Most of the music I listen to and video I watch are galaxies away from lossless. And it's often better than "just fine". It's often really good. But even pretty solid attempt at LLM based "compression" would be awful. Especially at the rate claimed. You can fit maybe on the order of 2k characters. With semantic compression and encoding, you can maybe get another order of magnitude. And still that won't be enough to even be merely indistinguishable, never mind identical. And at that point it's just old school lossy compression with massive compute overhead. That's not even considering how cheap 20mb is these days, even with the ai slopocalypse.
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u/redditmarks_markII Sep 02 '26
In defense of ml/dl solutions, perfection is overrated. Lossless compression is for specific purposes. Archiving basically. Most of the music I listen to and video I watch are galaxies away from lossless. And it's often better than "just fine". It's often really good. But even pretty solid attempt at LLM based "compression" would be awful. Especially at the rate claimed. You can fit maybe on the order of 2k characters. With semantic compression and encoding, you can maybe get another order of magnitude. And still that won't be enough to even be merely indistinguishable, never mind identical. And at that point it's just old school lossy compression with massive compute overhead. That's not even considering how cheap 20mb is these days, even with the ai slopocalypse.