Thread

1. firasd · 1785954252 · focus · HN ↗

   Who knew the real revenue unlock wouldn’t be based on how much paranoid red-teaming the model underwent to resist users jailbreaking its ‘alignment’, and instead more on whether the model is post-trained to use ‘sed’ and ‘git’? Poor Gemini

   Scientist-heavy orgs that want to solve everything in token space may overtook tool use; meanwhile Anthropic has been super focused on MCP, Claude Code etc for over a year

   1. biophysboy · 1785958493 · focus · HN ↗

      What do you mean by scientist-heavy orgs solving everything in token space? I feel like they use them to make or run tools almost exclusively.

      1. firasd · 1785964616 · focus · HN ↗

         I'm saying AI researchers have a bias towards thinking what needs to happen is prompt -> [crunching tokens] -> response rather than prompt -> [orchestrates 5 tools] -> response

         In other words 'just add a calculator tool' is not as sexy research-wise as making the model accurately eyeball arithmetic in its chain of thought. Maybe I'm wrong but that seems to be the case

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