alt Hacker NewsThey used a custom neural net with autoencoders, which contain convolutional layers. They trained it on previous experiment data.
https://arxiv.org/html/2411.19506v1
Why is it so hard to elaborate what AI algorithm / technique they integrate? Would have made this article much better
Replies
etrautmann • today at 10:48 AM
It seems like most of the implementation is FPGA, which I wouldn’t call “physically burned into silicon.” That’s quite a stretch of language
vultour • today at 10:28 AM
Because if it’s not an LLM it’s not good for the current hype cycle. Calling everything AI makes the line go up.
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fnord77 • today at 1:45 PM
Thanks for tracking this down. I too am annoyed when so-called technical articles omit the actual techniques.
jgalt212 • today at 1:39 PM
Because it does not align with LLM Uber Alles.
I'm half expecting to see "AI model" appearing as stand-in for "linear regression" at this point in the cycle.