We cover the buzz around GPT-3 and what it means for both startups AND incumbents... and the future of "AI as a service"? How do we know how good it is/ isn't?
We have noticed in many cases that AI companies simply don’t have the same economic construction as software businesses. At times, they can even look more like traditional services companies.
How then do we tease apart what's real vs. what's hype when it comes to the excitement about artificial intelligence and machine learning?
How do companies make tradeoffs in designing products between humans and machines? How do we plan for the future without falling for the "fatal conceit"?
Who has the advantage in artificial intelligence — big companies, startups, or academia? What happens as AI moves from its "in vitro" to its "in vivo" phase?