Ep 3 - When will AGI arrive? - Jack Kendall (CTO, Rain.AI, maker of neural net chips)

02/01/23 • 61 min

Artificial General Intelligence (AGI) Show with Soroush Pour

In this episode, we speak with Rain.AI CTO Jack Kendall about his timelines for the arrival of AGI. He also speaks to how we might get there and some of the implications.
Hosted by Soroush Pour. Follow me for more AGI content:
Twitter: https://twitter.com/soroushjp
LinkedIn: https://www.linkedin.com/in/soroushjp/
Show links

Jack Kendall
- Bio: Jack invented a new method for connecting artificial silicon neurons using coaxial nanowires at the U. Florida before starting Rain as co-founder and CTO.
- LinkedIn: https://www.linkedin.com/in/jack-kendall-21072887/
- Website: https://rain.ai
Further resources
- Try out ChatGPT: https://openai.com/blog/chatgpt/
- Judea Pearl's book, "The Book of Why"
- [Paper] https://www.deepmind.com/publications/causal-reasoning-from-meta-reinforcement-learning
- [Paper] Backpropagation and the Brain: https://www.nature.com/articles/s41583-020-0277-3

Jack Kendall
- Bio: Jack invented a new method for connecting artificial silicon neurons using coaxial nanowires at the U. Florida before starting Rain as co-founder and CTO.
- LinkedIn: https://www.linkedin.com/in/jack-kendall-21072887/
- Website: https://rain.ai
Further resources
- Try out ChatGPT: https://openai.com/blog/chatgpt/
- Judea Pearl's book, "The Book of Why"
- [Paper] https://www.deepmind.com/publications/causal-reasoning-from-meta-reinforcement-learning
- [Paper] Backpropagation and the Brain: https://www.nature.com/articles/s41583-020-0277-3

Previous Episode

Ep 2 - When will AGI arrive? - Alex Browne (Machine Learning Engineer)

In this episode, we speak with ML Engineer Alex Browne about his forecasted timelines for the potential arrival of AGI. He also speaks to how we might get there and some of the implications.
Hosted by Soroush Pour. Follow me for more AGI content:
Twitter: https://twitter.com/soroushjp
LinkedIn: https://www.linkedin.com/in/soroushjp/
== Show links ==
-- About Alex Browne --
* Bio: Alex is a software engineer & tech founder with 10 years of experience. Alex and I (Soroush) have worked together at multiple companies and I can safely say Alex is one of the most talented software engineers I have ever come across. In the last 3 years, his work has been focused on AI/ML engineering at Edge Analytics, including working closely with GPT-3 for real world applications, including for Google products.
* GitHub: https://github.com/albrow
* Medium: https://medium.com/@albrow
-- Further resources--
ChatGPT: https://openai.com/blog/chatgpt/
Stable Diffusion: https://stability.ai/blog/stablediffusion2-1-release7-dec-2022

Next Episode

Ep 4 - When will AGI arrive? - Ryan Kupyn (Data Scientist & Forecasting Researcher @ Amazon AWS)

In this episode, we speak with forecasting researcher & data scientist at Amazon AWS, Ryan Kupyn, about his timelines for the arrival of AGI.
Ryan was recently ranked the #1 forecaster in Astral Codex Ten's 2022 Prediction contest, beating out 500+ other forecasters and proving himself to be a world-class forecaster. He has also done work in ML & works as a forecaster for Amazon AWS.
Hosted by Soroush Pour. Follow me for more AGI content:
Twitter: https://twitter.com/soroushjp
LinkedIn: https://www.linkedin.com/in/soroushjp/
== Show links ==
-- About Ryan Kupyn --
* Bio: Ryan is a forecasting researcher at Amazon. His main hobby outside of work is designing walking tours for different Los Angeles neighborhoods.
* Ryan's meet-me email address: coffee AT ryankupyn DOT com
* Ryan: "I love to meet new people and talk about careers, ML, their best breakfast recipes and anything else."
-- Further resources --
* Superintelligence (Bostrom)
* Superforecasting (Tetlock, Gardner)
* Elements of Statistical Learning (Hastie, Tibshirani, Friedman)
* Ryan: "For general background on forecasting/statistics. This book is my go-to reference for understanding the math behind a lot of foundational statistical techniques."
* Animal Spirits (Akerlof, Shiller)
* Ryan: "For understanding how forecasts can be driven by emotion. I find this a useful book for understanding how forecasts can be wrong, and a useful reminder to be mindful of my own forecasts."
* Normal Accidents (Perrow)
* Ryan: "For understanding how humans interact with systems in ways that negate attempts by their creators to make them safer. I think there’s some utility in looking at previous accidents in complex systems to AGI, as presented in this book".