#159 – Richard Craib: WallStreetBets, Numerai, and the Future of Stock Trading
Lex Fridman Podcast
Lex Fridman
4.7 • 13.6K Ratings
🗓️ 7 February 2021
⏱️ 116 minutes
🧾️ Download transcript
Summary
Richard Craib is the founder of Numerai, a crowd-sourced, AI-run stock trading system. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Richard’s Twitter: https://twitter.com/richardcraib
Numerai’s Twitter: https://twitter.com/numerai
Numerai’s Website: https://numer.ai
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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
(08:12) – WallStreetBets and GameStop saga
(22:25) – Evil shorting and chill shorting
(24:31) – Hedge funds
(30:04) – Vlad
(37:00) – Numerai
(1:04:16) – Futre of AI in stock trading
(1:09:55) – Numerai data
(1:13:37) – Is stock trading gambling or investing?
(1:17:32) – What is money?
(1:20:49) – Cryptocurrency
(1:24:06) – Dogecoin
(1:28:36) – Advice for startups
(1:44:27) – Book recommendations
(1:46:29) – Advice for young people
(1:50:30) – Meaning of life
Transcript
Click on a timestamp to play from that location
| 0:00.0 | The following is a conversation with Richard Crape, founder of Numerai, which is a crowdsourced hedge fund, |
| 0:07.6 | very much in the spirit of Wall Street bets, but where the trading is done not directly by humans, |
| 0:13.6 | but by artificial intelligence systems submitted by those humans. |
| 0:18.3 | It's a fascinating and extremely difficult machine learning competition, |
| 0:22.8 | where the incentives of everybody is aligned. |
| 0:26.3 | The code is kept and owned by the people who develop it. |
| 0:29.1 | The data, anonymous data is very well organized and made freely available. |
| 0:35.5 | I think this kind of idea has a chance to change the nature of stock trading |
| 0:40.4 | and even just money management in general by empowering people who are interested in trading stocks |
| 0:47.4 | with the modern and quickly advancing tools of machine learning. |
| 0:51.7 | Quick mention of our sponsors, audible audiobooks, |
| 0:55.3 | child labs, machine learning company, blinkest app that summarizes books, |
| 1:00.7 | and athletic greens, all in one nutrition drink. |
| 1:04.7 | Click the sponsor links to get discount and to support this podcast. |
| 1:08.5 | As a side note, let me say that this whole set of events around |
| 1:12.1 | GameStop and Wall Street bets has been really inspiring to me as a demonstration |
| 1:18.6 | that a distributed system, a large number of regular people |
| 1:23.8 | are able to coordinate and collaborate in taking on the elite, |
| 1:30.3 | centralized power structures, especially when those elites are misbehaving. |
| 1:36.1 | I believe that power in as many cases as possible should be distributed. |
| 1:40.7 | And in this case, the internet as it is for many cases |
| 1:44.7 | is the fundamental enabler of that power. |
... |
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