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https://keybase.io/grahammitchell
Prior to becoming a developer, I spent twenty years (1997-2017) teaching Computer Science at Leander High School.
It is (or was, at least -- I haven't looked since I left) a pretty good school; consistently ranked near the top 5% of public schools nationally. I had a lot of students who were exceptional but most of my students were regular kids with no particular aptitude for programming. I taught over 2000 students.
[ my public key: https://keybase.io/grahammitchell; my proof: https://keybase.io/grahammitchell/sigs/fFa_yO52UWi27swZ6hzR5gE-KWge1dNmSFxSgl5Jl10 ]
This seems unlikely to me, but what is the truth?
I understand that _training_ an LLM is very very expensive. (Although so is spinning up a fab for a new CPU.) But it seems to me the incremental costs to query a model should be relatively low.
I'd love to see your back-of-the-envelope calculations for how much water and especially how much electricity it takes to "answer a single query" from, say, ChatGPT, Claude-3.7-Sonnet or Gemini Flash. Bonus points if you compare it to watching five minutes of a YouTube video or doing a Google search.
Links to sources would also be appreciated.