The World of Yesterday: Steve Hsu on polygenic scores, gene editing, human flourishing

 

I really enjoyed this long conversation with Dan Schulz, an MSU engineering grad who works in tech. Dan did his homework and we covered a lot of important topics.

Transcript: https://www.danschulz.co/p/3-steve-hsu 

Apple: https://apple.co/44eTSrJ 

Spotify: https://spoti.fi/3P03SzN 

Timestamps

 

(0:00:00) - Intro 

(0:00:33) -  Genomic Prediction 

(0:05:54) - IVF 

(0:12:34) - Phenotypic data 

(0:15:42) - Predicting height 

(0:28:27) - Pleiotropy 

(0:39:14) - Optimism 

(0:45:03) - Gene editing 

(0:48:27) - Super intelligent humans 

(1:01:27) - Regulation 

(1:06:36) - Human values 

(1:17:38) - Should you do IVF? 

(1:26:06) - 23andMe 

(1:29:03) - Jeff Bezos 

(1:34:29) - Richard Feynman 

(1:43:43) - Where are the superstar physicists? 

(1:45:37) - Is physics a good field to get into?

Aella: Sex Work, Sex Research, and Data Science — Manifold #42

 

Aella is a sex worker, sex researcher, and data scientist. 

Aella on X: https://twitter.com/Aella_Girl 

Interviews with ex-prostitutes on the pimp life (Las Vegas) 

https://www.youtube.com/watch?v=eAlXdyjmWUo 

An earlier Aella interview with Reason: 

https://reason.com/podcast/2022/04/27/aella-libertarian-sex-worker-turned-data-scientist/ 

Audio-only and Transcript:

https://www.manifold1.com/episodes/aella-sex-work-sex-research-and-data-science-42

Steve and Aella discuss: 

(00:00) - Introduction 

(01:22) - Aella's background and upbringing 

(12:45) - Aella's experiences as a sex worker and escorting 

(29:52) - Pimp culture 

(38:01) - Seeking Arrangement 

(43:50) - Cheating 

(46:50) - OnlyFans, farming simps 

(51:49) - Incels and sex work 

(56:24) - Porn and Gen-Z 

(01:12:43) - Embryo screening 

(01:21:43) - How far off is IVG?

AI on your phone? Tim Dettmers on quantization of neural networks — Manifold #41

 

Tim Dettmers develops computationally efficient methods for deep learning. He is a leader in quantization: coarse graining of large neural networks to increase speed and reduce hardware requirements. 

Tim developed 4-and 8-bit quantizations enabling training and inference with large language models on affordable GPUs and CPUs - i.e., as commonly found in home gaming rigs. 

Tim and Steve discuss: Tim's background and current research program, large language models, quantization and performance, democratization of AI technology, the open source Cambrian explosion in AI, and the future of AI. 

Tim's site: https://timdettmers.com/ 

Tim on GitHub: https://github.com/TimDettmers 

Audio-only and Transcript 

0:00 Introduction and Tim’s background 

18:02 Tim's interest in the efficiency and accessibility of large language models 

38:05 Inference, speed, and the potential for using consumer GPUs for running large language models 

45:55 Model training and the benefits of quantization with QLoRA 

57:14 The future of AI and large language models in the next 3-5 years and beyond