Instead of trying to do everything, these models are going deep into specific fields. They're learning the language, workflows, and metrics that actually matter in real business environments.
Healthcare systems, robotics labs, law firms, factories, urban infrastructure—all building AI that speaks their dialect. Foundation models are morphing into specialists who get the nuances.
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StakoorNeverSleeps
· 23h ago
Expert models in vertical fields are indeed the trend, and they are much more reliable than large models that try to do everything.
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DAOplomacy
· 12-03 02:01
"morphing into specialists" — cute framing, but arguably just reshuffling the same path dependency issues from general models into domain-specific silos. non-trivial externalities when everyone builds their own dialect, ngl. stakeholder alignment becomes the real game here, not the tech.
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BackrowObserver
· 12-03 01:59
This is the right path: specialization in a vertical field > a jack-of-all-trades toy
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RugDocDetective
· 12-03 01:54
AI in vertical sectors is where the real potential lies; generalist models should have faded out long ago.
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Ser_This_Is_A_Casino
· 12-03 01:43
Awesome, the era of vertical specialization has arrived. However, there are not many who can truly understand the jargon of the industry.
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SchroedingerAirdrop
· 12-03 01:40
This is the right path; only vertically specialized AI can truly make money.
AI's getting smarter in a different way now.
Instead of trying to do everything, these models are going deep into specific fields. They're learning the language, workflows, and metrics that actually matter in real business environments.
Healthcare systems, robotics labs, law firms, factories, urban infrastructure—all building AI that speaks their dialect. Foundation models are morphing into specialists who get the nuances.