#383 – Mark Zuckerberg: Future of AI at Meta, Facebook, Instagram, and WhatsApp

[0] The following is a conversation with Mark Zuckerberg, his second time in this podcast.

[1] He's the CEO of Meta that owns Facebook, Instagram, and WhatsApp, all services used by billions of people to connect with each other.

[2] We talk about his vision for the future of meta and the future of AI in our human world.

[3] And now a quick few second mention of each sponsor.

[4] Check them out in the description.

[5] It's the best way to support this podcast.

[6] We got for the world's hardest data science tournament, Shopify for e -commerce, and better help for mental health.

[7] She was whizzen, my friends.

[8] Also, if you want to work with our amazing team, we're always hiring, go to Lexfreedman .com slash hiring.

[9] And now onto the full ad reads, as always, no ads in the middle.

[10] I find those annoying.

[11] But these here ads, I try to make interesting.

[12] Though you may skip them, if you must, my friends, but please still check out the sponsors.

[13] They help this podcast out.

[14] I enjoy their stuff.

[15] Maybe you will too.

[16] This show is brought to you by Numeri, a hedge fund that uses AI and machine learning to make investment decisions.

[17] I'm a huge fan of real -world data sets and real -world machine learning competitions to figure out what works.

[18] This is not ImageNet.

[19] This is not an artificial toy dataset for the development of toy systems that illustrate.

[20] toy concepts.

[21] Those are the early, early, early stages of research.

[22] But when you really want to see what works, you want benchmarks that have stakes, that have the highest of stakes, especially ones that have money involved.

[23] So I'm a huge fan, money or not, of data sets that represent the real world and demonstrate that the system can operate in the real world at the highest of stakes.

[24] That's why I was really interested in autonomous vehicles when the stakes are life and death.

[25] It's safety critical systems.

[26] Incredibly exciting to work on systems that are truly real -world data sets.

[27] Anyway, if that kind of thing interests you, if you're a machine learning engineer, head over to Numer .a .ai slash Lex to sign up for a tournament and hone your machine learning skills.

[28] That's N -U -M -E -R