Earlier quoted context omitted.
Despite feeling like a "let me draw it for you" answer is a tad condescending, I want to address something here. This would be great if LLMs did not tend to output nonsense. Truly it would be grand. But they do. So it isn't. It's wasting resources hoping for a good outcome and risking frustration, misapprehensions, prompt injection attacks... It's non-deterministic algorithms hoping P=NP, except instead of branching…
> Despite feeling like a "let me draw it for you" answer is a tad condescending, I want to address something here. I didn't mean it to be condescending - though I can see how it can come across as such. FWIW, I opted for a diagram after I typed half a page worth of "normal" text and realized I'm still not able to elucidate my point - so I deleted it and drew something matching my message more closely. > This would be…
LLMs are cool technology sure. There's a lot of cool things in the ML space. I love it.
But don't pretend like the context of this conversation isn't the current hype and that it isn't reaching absurd levels.
So yeah we're all tired. Tired of the hype, of pushing LLMs, agents, whatever, as some sort of silver bullet. Tired of the corporate smoke screen around it. NLP is still a hard problem, we're nowhere near solving it, and bolting it on everything is not a better idea now than it was before transformers and scaling laws.
On the other hand my security research business is booming and hey the rational thing for me to say is: by all means keep putting NLP everywhere.