Fun fact: this is kinda how our brain stores long term episodic memories. We just remember details and recreate it from our understanding of the world.
Also a fun fact: our memories are notoriously inaccurate, untrustworthy, and prone to bias.
No, they just have faulty memories of it that are heavily influenced by their later recallings of it. Reminiscing about it often will color it with beliefs and understandings that they didn’t have originally, making them even more inaccurate than more recent ones. For example, my current memories of reading and watching Harry Potter are all sour, even though they were probably quite positive at the time.
On the other hand, if one never actively recalls something, the memory is more likely to be pruned into mere fragments or lost forever. However, having no memory of childhood probably has more to do with the brain actively suppressing conscious recollection.
Regardless, even things we no longer remember still cause ripples in how we think. The memory might be gone, but the understandings and skills we gained still remain. We don’t remember learning to talk, but that time was very influential on how we use language for the rest of our lives.
You all don’t understand how high tech this is, this is literally quantum compression. You compress your image, and when you go to uncompress it, the algorithm randomly selects one possible variation of that image from the quantum multiverse and pulls it into your universe! Truly a marvel of engineering!
ok but AI compression is legitimately a thing that has potential because of how extreme the size reduction could be. But yeah it’s definitely no lossless format lol
For text, if you have a decent probability distribution of the next piece of text based on the past context, then you can create a much more efficient encoding, so in that case you can create a good lossless compression
decompression would be terribly slow though, and it doesn’t easily extend to images
Are people downvoting just because LLM? It’s basic information theory, i’m not suggesting we start using it, it would be slow to the point of uselessness
Yeah i was just pointing out one case where it can be used for lossless compression, for lossy compression you can use autoencoders and stuff, but they are lossy and less efficient than jpeg and the like
Fun fact: this is kinda how our brain stores long term episodic memories. We just remember details and recreate it from our understanding of the world.
Also a fun fact: our memories are notoriously inaccurate, untrustworthy, and prone to bias.
that why picture are so good. They contain so much details it help to remind.
So all those people who claim they remember their childhood, are lying?
No, they just have faulty memories of it that are heavily influenced by their later recallings of it. Reminiscing about it often will color it with beliefs and understandings that they didn’t have originally, making them even more inaccurate than more recent ones. For example, my current memories of reading and watching Harry Potter are all sour, even though they were probably quite positive at the time.
On the other hand, if one never actively recalls something, the memory is more likely to be pruned into mere fragments or lost forever. However, having no memory of childhood probably has more to do with the brain actively suppressing conscious recollection.
Regardless, even things we no longer remember still cause ripples in how we think. The memory might be gone, but the understandings and skills we gained still remain. We don’t remember learning to talk, but that time was very influential on how we use language for the rest of our lives.
“Lying” implies they know it’s not true. Most of the time they completely believe it. Much of the time many of the details are correct anyway.
You all don’t understand how high tech this is, this is literally quantum compression. You compress your image, and when you go to uncompress it, the algorithm randomly selects one possible variation of that image from the quantum multiverse and pulls it into your universe! Truly a marvel of engineering!
Super lossy JPEGL
All files have a size of only mere bytes
Couple trillion bytes
I once told a waiter what I wanted to eat and their AI in the kitchen was able to produce it beautifully. Just from my prompting!
ok but AI compression is legitimately a thing that has potential because of how extreme the size reduction could be. But yeah it’s definitely no lossless format lol
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Youtube actually experimented using a neural upscaler on shorts a while back but they got some backlash and reverted it androidauthority.com/youtube-shorts-upscaling-exp…
For text, if you have a decent probability distribution of the next piece of text based on the past context, then you can create a much more efficient encoding, so in that case you can create a good lossless compression
decompression would be terribly slow though, and it doesn’t easily extend to images
Are people downvoting just because LLM? It’s basic information theory, i’m not suggesting we start using it, it would be slow to the point of uselessness
To be clear I’m not speculating on something that could potentially be cool, this already exists and is improving
Yeah i was just pointing out one case where it can be used for lossless compression, for lossy compression you can use autoencoders and stuff, but they are lossy and less efficient than jpeg and the like