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I actually think this misses the biggest reason that this AI cycle could fail. A great deal of machine learning talent is concentrated in big companies right no
by arcanus 10y ago
I actually think this misses the biggest reason that this AI cycle could fail. A great deal of machine learning talent is concentrated in big companies right now, because of the nice salaries and stability it provides research initiatives.
But the real disruptive applications of AI will necessarily apply to new, untapped markets. It won't fit into search or ad markets, for instance.
Until AI moves out of research at labs and bigco into the startup space, it will be necessarily limited in scope.
Interesting because it could be the failure of this cycle that 'releases' talent into a startup ecosystem that lays the seeds for the distruptive next phase.
- curun1r 10y ago> Until AI moves out of research at labs and bigco into the startup space Sounds like what OpenAI (https://openai.com/about/ https://openai.com/about/) is trying to achieve.
- arcanus 10y agoSomewhat. As I see it, openAI is trying to build the tools (and research papers, IP, etc.) in a publicly facing venue that could power the frameworks that ultimately power the disruptive wave of startups.
- CabSauce 10y agoIMO, there's almost too much focus on the really sexy research areas of "AI". Everyone wants to work on self-driving cars and chat bots. But there's huge opportunity in just applying basic models to business processes with normal data.