People are also being trained/acculturated to LLM speak, so even if they are trained on human output, they could be getting reinforcement for their LLM-tinged crap-speak.
I appreciate this line of questioning. It's really interesting to see how many excuses people need to reach for to avoid the conclusion that the "secret unheard of power" is B.S...
> We are going from the era of manual, line-by-line mental model transcription to one where software engineers can focus on data structures, software architecture and algorithms.
This is what declarative programming gives us, not what LLM-based generation offers.
> I love being able to quickly bring out the program that is already running in my head without having to worry about the grind of typing it into a format that the compiler understands.
Using natural instead of a formal language to get probabilistic results based on token fields is not bypassing arbitrary constraints of the compiler, it is dereliction of the responsibility to know and articulate precisely what you are specifying.
During the crypto bubble, it was common for "crypto insiders" to talk about how it was poised to transform the entire economy, on the cusp of making all finance distributed, about to revolutionize ownership, etc., etc. .
The people in the most inflated parts of bubbles don't tend to have the most clear eyed assessment of the real impact and potential of the dynamics contributing to the bubble: their perception is warped by the bubble, and they cannot help but see everything filtered thru it.
> Such intensive use of AI doesn't come cheap. In a post on X, LisanBench, an LLM benchmark evaluator, estimated that the output tokens alone would cost about $6.5 million at OpenAI's average consumer price. Including the far larger volume of input tokens, the post estimated the total could reach $10 million to $40 million.
This could fund 10 top income mathematicians for 8 years (based on https://careers.usnews.com/best-jobs/mathematician/salary ). Imagine what kinds of results we'd have to transform the foundations of science if we were giving brilliant minds this kind of funding to do nothing but research for most of decade....
Instead, we get slop proofs that are technically correct as PR stunts to enable corrupt kleptocrats, and most likely will drive research into culs-de-sac.
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