No logic required, you can just build an LLM yourself, including post training. You'll see that predicting the next token isn't something the model does or is optimized for in RLHF or RLVR. You can hand wave all you like, but you have never done it.
No logic required, you can just build an LLM yourself, including post training. You'll see that predicting the next token isn't something the model does or is optimized for in RLHF or RLVR. You can hand wave all you like, but you have never done it.
Carry on good soldier.
That you tie yourself up in knots of fancy acronyms instead of plain words and that your argument boils down to semantics of the word prediction, it's pretty clear what is up brother.
Boy, oh boy, do you keep digging your logic hole that much deeper.
As mentioned earlier, Sam thanks you for your obfuscation efforts while his equity keeps going up. The swindle continues.
If you want to understand how this stuff works, there are totally decent books about building them from scratch. It's not that hard, and you'll likely find it interesting. Sebastian Raschka and Nathan Lambert have good books out, and the Allen Institute has available all the code and data they have used for several projects.
Keep digging that hole, I’m sure you’ll surface somewhere with some sunshine.