Scott Patterson discusses with Nassim N Taleb his book Chaos Kings, chapter by chapter. This is Part 1.
Category: Videos
[YouTube] Nassim Nicholas Taleb on Investment, Hedging, and Mishedging | AIM Summit London 2024
“Nassim Nicholas Taleb on Investment, Hedging, and Mishedging” at AIM Summit London Edition 2024 Speaker Nassim Nicholas Taleb – Author, The Black Swan; Distinguished Scientific Advisor, Universa Investments L.P. Moderator Julia Chatterley – Anchor and Correspondent, CNN International
[YouTube] STEPHEN WOLFRAM VISITS RWRI 19, SUMMER SCHOOL 2024
TOPICS: 2nd law, generative AI, computational Irreducibility, climate modeling. Stephen Wolfram’s discussion with participants at the Real World Risk Institute Summer School 2024, with Nassim Nicholas Taleb, Robert Frey, Raphael Douady, and others.
[YouTube] Nassim Taleb on Stocks Over Bonds
CNBC: The Exchange, Nassim Taleb, May 20, 2024

[YouTube] MINI LECTURE 18 (MORE TECHNICAL): How to build a positive definite correlation matrix for Monte Carlo Simulations for a set dimensionality
How to build by tinkering with a positive definite correlation matrix for Monte Carlo simulations for a given dimensionality.
[YouTube] MINI LECTURE 17: Maximum Ignorance Probability (a bit more technical)
What do you do when you must estimate a probability and there is ZERO information? A surgeon did 60 operations with 0 failure. What’s her or his failure rate? I didn’t realize that the trick wasn’t in the literature until John Hughes wrote a paper in Statistics and Probability Letters based on my blog post presenting the idea.
[YouTube] MINI LECTURE 16: On the Absurdity of Standard Genetics Reports
Why reports from genetic firms saying you are 30% Greek, 15% Sicilian, and 5% Martian are complete misrepresentations?
[Twitter] Nassim Taleb’s interview with Tucker Carlson when Skin in the Game came out

with Tucker Carlson when Skin in the Game (SITG) came out: Imagine fewer bureaucrats with no SITG, no CIA, a noninterventionist State Dept… In SITG I said that sending State Dept employees to the beach would be better for America & much better for the world.
YouTube video of the interview
You can get the book (Skin in the Game: Hidden Asymmetries in Daily Life) here: Paperback or Hardcover
[YouTube] How the Social Fabric Works: A Conversation With Nassim Nicholas Taleb
Nassim Nicholas Taleb joined Eric Hacopian of CivilNet for a discussion on science, artificial intelligence, and ongoing societal advancements. Gain valuable insights into the workings of the social fabric in this engaging conversation with Nassim Nicholas Taleb.
Stephen Wolfram visits RWRI 18 (Summer Workshop) [PRIVATE]
Workshop organized by the Real World Risk Institute. The workshop is an intense 10-day online program, and the 18th edition took place from July 10-21, 2023.
This video discusses the capabilities and limitations of large language models like GPT, the challenges of setting constraints on AI systems, and the potential risks and consequences of AI decision-making. The video talks about:
- The concept of a “stochastic parrot” in language processing and machine learning.
- How language processing systems like GPT use data from the web to generate responses.
- Attempts to “trick” GPT with questions requiring nuanced understanding.
- The simple operation of GPT in predicting the next word in a sequence.
- The use of language models as a new interface to computers.
- The integration of GPT with Wolfram Alpha for computations and informed responses.
- The similarity between writing good prompts for GPT and expository writing.
- The training data for GPT, includes nonsense, fiction, and factual information.
- The problem of the “self-licking lollipop” in information sources.
- The concept of “necessarily human work” requires human choice and input.
- The potential for AI to make decisions and the challenges of setting constraints.
- A thought experiment called “promptocracy” for AI decision-making.
- The actuation layer of AI and the difficulty of setting constraints.
- The phenomenon of computational irreducibility and trade-offs in AI computation.
- The potential risks of AI decision-making and the need for understanding large language models.