Listen to this episode from Lex Fridman Podcast on Spotify. Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal researchers in the history of machine learning. Please support this podcast by checking out our sponsors: - Public Goods: https://publicgoods.com/lex and use code LEX to get $15 off - Indeed: https://indeed.com/lex to get $75 credit - ROKA: https://roka.com/ and use code LEX to get 20% off your first order - NetSuite: http://netsuite.com/lex to get free product tour - Magic Spoon: https://magicspoon.com/lex and use code LEX to get $5 off EPISODE LINKS: Yann's Twitter: https://twitter.com/ylecun Yann's Facebook: https://www.facebook.com/yann.lecun Yann's Website: http://yann.lecun.com/ Books and resources mentioned: Self-supervised learning (article): https://bit.ly/3Aau1DQ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: - Check out the sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (01:07) - Self-supervised learning (11:26) - Vision vs language (17:18) - Statistics (23:05) - Three challenges of machine learning (28:54) - Chess (36:57) - Animals and intelligence (46:40) - Data augmentation (1:08:01) - Multimodal learning (1:19:49) - Consciousness (1:24:35) - Intrinsic vs learned ideas (1:28:47) - Fear of death (1:36:38) - Artificial Intelligence (1:50:27) - Facebook AI Research (2:07:06) - NeurIPS (2:23:18) - Complexity (2:31:43) - Music (2:36:38) - Advice for young people

Listen to this episode from The Deep End on Spotify. Bored Elon Musk  (one of Twitter's largest pseudonyms with 1.7 million followers) joins us to discuss the nature of pseudonyms and his investment activity. We also chat about the metaverse, the pseudonymous tech stack, the future of deep fakes, and much more.Pseudonyms are interesting because they are inherently meritocratic. Bias isn't possible because nobody knows who you really are. As the internet becomes more crypto-native and employment becomes more fluid, pseudonyms will only continue to rise in popularity. Already, DAOs are full of contributors that use pseudonyms.It's worth noting that pseudonymity is not anonymity. A pseudonym can build reputation that persists through interactions.Bored Elon is trying to make sure that as one of the first major pseudonyms, he sets the right example with his online reputation. Besides posting memes or tweeting fake startup ideas, Bored Elon is spending a lot of time investing in real companies with the bored fund. Many founders are happy to take his money without knowing who he is - a future where we can interact based on the merits of our activity over our identity is one that will benefit many.For full show notes, links, RSVPs to live podcast recordings and more, visit thedeepend.substack.com

Balaji Srinivasan is a serial entrepreneur and angel investor. We cover ways to optimize your information diet, how technology is driving decentralisation, and what that could mean for countries, corporations, and individuals.