The AI graveyard: a running list of projects and startups that didn't make it (techcrunch.com) 1 points by gmays 21h ago ↗ HN
[–] sharemywin 21h ago ↗ I think alot of companies I trying to figure out where the actual business value is.Most business spend a lot of money on making processes reliable not probabilistic.I think most business process probably need something like:text/image -> classifier -> events -> workflow -> template -> exception -> human then text/image -> llm/agent loop -> creative text.with programming the model used to benon-coder -> vague AI slop spec -> programmer/questions -> QA -> Prodnow it's:AI prototype -> execs -> wow -> non-coder -> vague spec -> AI slop Code -> QA/Verify -> missed requirments/lacks business context, etc. -> programmer spends just as much time fixing.
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[ 3.8 ms ] story [ 7.3 ms ] threadMost business spend a lot of money on making processes reliable not probabilistic.
I think most business process probably need something like:
text/image -> classifier -> events -> workflow -> template
then text/image -> llm/agent loop -> creative text.with programming the model used to be
non-coder -> vague AI slop spec -> programmer/questions -> QA -> Prod
now it's:
AI prototype -> execs -> wow -> non-coder -> vague spec -> AI slop Code -> QA/Verify -> missed requirments/lacks business context, etc. -> programmer spends just as much time fixing.