Nyne, founded by a father-son duo, gives AI agents the human context they’re missing
Gadget-uri
AI agents are expected to soon start making autonomous purchasing and scheduling decisions on behalf of humans. But Michael Fanous, a UC Berkeley computer science graduate and former machine learning engineer at CareRev, argues that these agents are currently missing a critical piece of the puzzle: the full context required to truly understand the people they are programmed to serve. Fanous claims that machines currently struggle to discern whether a person’s professional profile on LinkedIn,
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