Brendan Foody: belief

Transcript context

…We need a very good AI for that to work? I think a very good AI will help with that working. The reason I think it doesn’t happen today is that there’s a very difficult matching problem. Let me give LinkedIn as an analog. LinkedIn has all the distribution to pretty much every company and every candidate, but at the very same time, it’s incredibly difficult to understand, based on someone’s LinkedIn profile, whether they’ll actually perform well at a given job. I believe that, in that case, it’s very much a matching problem — less so a distribution and aggregation problem — to facilitate this effective flow of information and aggregation within knowledge markets. But I think it’s also in line with the fact that the nature of jobs is changing dramatically. Previously, everyone would think about this problem in the context of full-time roles, but as we trend towards this world of everyone building our RL environments, and being able to do work remotely, and train models in this fractional way, that also will shift the dynamics of enabling more aggregation, enabling more globalized matching, and how that will impact the economy. Some of my friends think that mentors and nepotism will make a good comeback. They say everyone will submit a perfect cover letter, have an optimized LinkedIn profile. They’ll even have practiced with an AI doing the interview. They won’t all get up to speed, but a lot of them will, and there’ll be this large mass of apparently pretty qualified candidates. What you’ll actually do is resort to the old tried and true. Do you know this guy’s uncle, or someone else who can recommend them? Agree? Disagree?…

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