#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

Episode 29 of the Machine Learning Street Talk (MLST) podcast, hosted by Machine Learning Street Talk (MLST), titled "#029 GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence" was published on November 8, 2020 and runs 110 minutes.

November 8, 2020 ·110m · Machine Learning Street Talk (MLST)

Summary

This week Dr. Tim Scarfe, Dr. Keith Duggar, Yannic Kilcher and Connor Leahy cover a broad range of topics, ranging from academia, GPT-3 and whether prompt engineering could be the next in-demand skill, markets and economics including trading and whether you can predict the stock market, AI alignment, utilitarian philosophy, randomness and intelligence and even whether the universe is infinite!  00:00:00 Show Introduction  00:12:49 Academia and doing a Ph.D  00:15:49 From academia to wall street  00:17:08 Quants -- smoke and mirrors? Tail Risk  00:19:46 Previous results dont indicate future success in markets  00:23:23 Making money from social media signals?  00:24:41 Predicting the stock market  00:27:20 Things which are and are not predictable  00:31:40 Tim postscript comment on predicting markets  00:32:37 Connor take on markets  00:35:16 As market become more efficient..  00:36:38 Snake oil in ML  00:39:20 GPT-3, we have changed our minds  00:52:34 Prompt engineering a new form of software development?  01:06:07 GPT-3 and prompt engineering  01:12:33 Emergent intelligence with increasingly weird abstractions  01:27:29 Wireheading and the economy  01:28:54 Free markets, dragon story and price vs value  01:33:59 Utilitarian philosophy and what does good look like?  01:41:39 Randomness and intelligence  01:44:55 Different schools of thought in ML  01:46:09 Is the universe infinite?  Thanks a lot for Connor Leahy for being a guest on today's show. https://twitter.com/NPCollapse -- you can join his EleutherAI community discord here: https://discord.com/invite/vtRgjbM

Episode Description