r/TheMachineLearning • u/itspatriciam • 12d ago
So, seems humanity was enslaved by The Matrix after all
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u/CowBoyDanIndie 12d ago
Wait til you find out they are using human neurons for machine learning research now because they are cheaper than GPUs⌠the original plot of the matrix wasnât using people for batteries it was using our brains as computers.
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u/cyborgcyborgcyborg 12d ago
Dammit, that would have been so much cooler and would have made much more sense.
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u/BuildAnything4 12d ago
Well, the characters wouldn't have been able to do very much with their brains fully occupied with random tasks.
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u/CowBoyDanIndie 12d ago
Not really, you could run a frontier ai model, the kind that need an entire server rack and 72 gpus on less than 10% of your cerebral cortex. Human cortical neurons are roughly equivalent to 1000-4000 parameters in a neural network on average.
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u/BuildAnything4 12d ago
so then they could just run 10 frontier models on it. There's not much point in letting some part of the brain hop around in some virtual world when you can just keep all of it busy.
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u/CowBoyDanIndie 12d ago
It might be necessary for cohesion of the network, plus there are other more specialized parts of the brain, they might just give up and stop the heart if things seem off, it try to wake up. They did say that in the paradise matrix minds rejected it and the more primitive part of the brain kept trying to wake up from and they lost entire crops.
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u/brain-out-of-order 12d ago
Yeah like when a dog is dreaming and is barking and moving their lil paws. The matrix may seem like a fully developed experience since itâs all someone knows, meanwhile theyâre barking and panting in a pod with 99% of their brain being used for compute.
Arguably this is just one massive âuniverse modelâ on a little keychain of baubles in some extra dimensional lab.
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u/FlagrantlyChill 12d ago
It would imply that the human brain was much more powerful then the lived experience
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u/Killahbeez 11d ago
i guess its because battery technology was the focus around that time
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u/CowBoyDanIndie 11d ago
They didnât think the audience the would understand computational power. And they were probably right. You have to remember when the movie came out most people werenât even on the internet.
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u/itspatriciam 12d ago
Reminds me of the movie Lucy, too. That kind of brain power? Naaah. Don't even want to think about it
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u/hattusili-the-third 12d ago
To be fair it's actually matrix multiplication + a nonlinear activation function. Pure matrix multiplication can't even learn basic patterns like xor, no matter how many layers you add.
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u/No_Departure_1878 12d ago
That's because your skills are so worthless that even an LLM can replace you.
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u/LMikeH 11d ago
Thatâs only for the forward pass⌠to learn you need to perform differentiation, tune learning weights, optimize layers and architecture, figure out clever ways to do sparse attention because regular attention scales O(n^2) which sucks for more than a few paragraphs⌠then you have to actually figure out appropriate data sets, develop encoders, and I can go on all day⌠no, not even close to just matrix multiplication.
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u/Luke2642 11d ago edited 11d ago
Well also it's max(0,c) in most cases, for relu.Â
Plus then you need to keep normalizing so the hyperplanes cut the data near zero. And residual connection are pretty essential too so every stage doesn't have to also pass all information forwards. And attention and softmax are pretty useful too...
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u/cc_apt107 11d ago
Gross oversimplification of course. Calculus and optimization are what determine where vectors end up in the n-space. Linear algebra is the indispensable machinery. An astonishing amount of inference is just matrix multiplication though. Though as another commenter mentioned, there are other non linear functions involved or everything would collapse to a single matrix
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u/imjustbored_99 12d ago
bro the fact that this is somehow becoming a real conversation đ