<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>danmaz74</author><text>One very interesting thing that was mentioned in the interview is how much Facebook relies on deep learning right now; specifically, how hate speech detection went from 75% manual to something like 2.5% manual, and how manual false negatives detection allowed this improvement.&lt;p&gt;What I&amp;#x27;m wondering is about false positive detection, which wasn&amp;#x27;t mentioned, and how much of this incredible decrease in false negatives came at the expense of an increase in false positives.</text><parent_chain></parent_chain></comment><story><title>Yann LeCun on his start in AI, recent self-supervised learning research [video]</title><url>https://thegradientpub.substack.com/p/yann-lecun-on-his-start-in-research</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>andreyk</author><text>Hey, I am an editor at The Gradient and host of this interview! As this is only episode 6 the podcast domain is pretty new to us^, so would definitely welcome feedback on question choice or my style as an interviewer. We tried focusing much more on research than other interviews out there such as Lex Fridman&amp;#x27;s, would be curious to hear if you think that worked well.&lt;p&gt;^(we&amp;#x27;ve existed as a digital publication focused on AI for way longer, see thegradient.pub if you&amp;#x27;re curious.)</text><parent_chain></parent_chain></comment><story><title>Yann LeCun on his start in AI, recent self-supervised learning research [video]</title><url>https://thegradientpub.substack.com/p/yann-lecun-on-his-start-in-research</url></story>