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   Bernie (codewiz@mstdn.io)'s status on Tuesday, 10-Sep-2024 13:22:29 JST Bernie

   • Thomas 🔭🕹️

   @thomasfuchs Yes, but is it fair to compare an LLM costing $20 per month with a human professional who would ask at least $30 for a similar job?

   Just yesterday I asked GPT4o to read a lease in Japanese and warn me of any clauses I should watch out for. It did so in 30 seconds.

   Then I asked it to compare the new lease with one from 5 years ago, and 30 seconds later I had a bullet list of differences.

   • Embed this notice
     Rabidchaos (rabidchaos@hachyderm.io)'s status on Tuesday, 10-Sep-2024 15:25:11 JST Rabidchaos

     • Thomas 🔭🕹️

     @thomasfuchs They're good at generating summary-shaped text!

     People not understanding the difference between a summary and a summary-shaped text is how we got here.

   • Embed this notice
     Nate Vack 🍴 (njvack@ruby.social)'s status on Tuesday, 10-Sep-2024 23:44:20 JST Nate Vack 🍴

     • Thomas 🔭🕹️

     @thomasfuchs I mean they definitionally are good at generating *some* things

     they are extremely bad at writing useful summaries though. Like, even worse at summarizing a meeting than I am, and that is saying something

   • Embed this notice
     Nate Vack 🍴 (njvack@ruby.social)'s status on Wednesday, 11-Sep-2024 00:48:28 JST Nate Vack 🍴

     • Thomas 🔭🕹️

     @thomasfuchs And sometimes bullshit is what you need! The bad things happen when people believe they can generate better stuff, or think "real intelligence is just around the corner."

     And: It might be! Even two years ago, I didn't think they'd be generating text as parsable as they're generating now. I remain genuinely surprised.

     But I also suspect there's something much more going on in humans and training more parameters on more data is likely to yield diminishing returns.