Navigating the Complexities of Machine Learning and GPT-3

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