Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss: Blaise’s role at Google, where he leads the Cerebra team.  Their approach to machine learning at the company, and how they differ from the more forward-facing Google Brain team.  Blaise gives us a look into his presentation, discussing today’s ML landscape. The gap between AI and ML/DS research, what it means and why it exists. The difference between intelligent systems and what we would deem to be “actual intelligence.”  What does optimizing truly mean when training models? Check out the complete show notes for this episode at twimlai.com/talk/340.