Dude, like a handful of people have any idea how it works, it was completely a black box until recently when they started deciphering how it “thinks” before outputting in any given language. And before anyone argues, yes, researchers have actually started to assess how it processes stuff now, they’ve recorded the binary processing that wasn’t language based and upon suspecting they found the processing akin to what we’d call thinking for ai, they saved the streams, presented it to other ai in droves and asked them to interpret it independently of the other system that manufactured it, and indeed it matched up with the processing of requests, but was not in any human language, it’s indeed machine code, but not like Fortran or cobal or hexadecimal codes that we are used to dealing with, it has its own language. So no one has a library or Rosetta Stone yet to interpret this, and as of now you have to “trust” other AI to tell you what it means. Which obviously isn’t a good idea at all.
Edit: the paper since some of y’all don’t believe it, and frankly I don’t blame you. It’s new research. "Do Sparse Autoencoders Capture Concept Manifolds?” https://arxiv.org/abs/2604.28119








Wrong. Here’s one of the papers on the research. “Do Sparse Autoencoders Capture Concept Manifolds?”
https://arxiv.org/abs/2604.28119
and a video on the paper
https://youtu.be/_G1NBI3AW5Q