Gary Marcus and Ernest Davis provide a lucid assessment of the current science in AI, explaining what today’s AI can and cannot do. They argue that current AI systems, based on deep learning, are narrow and brittle, and that achieving true artificial general intelligence requires moving beyond statistical analysis and large data sets. The authors suggest that by incorporating knowledge-driven approaches and common sense, we can build AI systems that are reliable and trustworthy in various aspects of our lives, such as homes, cars, and medical offices.
In 'Flash Boys: A Wall Street Revolt', Michael Lewis delves into the world of high-frequency trading (HFT) and its corrupting influence on the U.S. stock market. The book follows a group of Wall Street iconoclasts, including Brad Katsuyama and Sergey Aleynikov, as they uncover and challenge the unethical practices of HFT firms. Lewis explains how these firms use advanced technology to front-run orders, creating a rigged market that benefits insiders at the expense of ordinary investors. The narrative is engaging and accessible, making complex financial concepts understandable for a broad audience. The book highlights the efforts of these individuals to reform the market and restore fairness, and it has had significant impact, including prompting investigations and public discussions about market structure and fairness[2][3][5].
Professor Pedro Domingos, is an AI researcher and professor of computer science. He expresses skepticism about current AI regulation efforts and argues for faster AI development rather than slowing it down. He also discusses the need for new innovations to fulfil the promises of current AI techniques.
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Show notes:
* Domingos' views on AI regulation and why he believes it's misguided
* His thoughts on the current state of AI technology and its limitations
* Discussion of his novel "2040", a satirical take on AI and tech culture
* Explanation of his work on "tensor logic", which aims to unify neural networks and symbolic AI
* Critiques of other approaches in AI, including those of OpenAI and Gary Marcus
* Thoughts on the AI "bubble" and potential future developments in the field
Prof. Pedro Domingos:
https://x.com/pmddomingos
2040: A Silicon Valley Satire [Pedro's new book]
https://amzn.to/3T51ISd
TOC:
00:00:00 Intro
00:06:31 Bio
00:08:40 Filmmaking skit
00:10:35 AI and the wisdom of crowds
00:19:49 Social Media
00:27:48 Master algorithm
00:30:48 Neurosymbolic AI / abstraction
00:39:01 Language
00:45:38 Chomsky
01:00:49 2040 Book
01:18:03 Satire as a shield for criticism?
01:29:12 AI Regulation
01:35:15 Gary Marcus
01:52:37 Copyright
01:56:11 Stochastic parrots come home to roost
02:00:03 Privacy
02:01:55 LLM ecosystem
02:05:06 Tensor logic
Refs:
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World [Pedro Domingos]
https://amzn.to/3MiWs9B
Rebooting AI: Building Artificial Intelligence We Can Trust [Gary Marcus]
https://amzn.to/3AAywvL
Flash Boys [Michael Lewis]
https://amzn.to/4dUGm1M
Machine Learning Street Talk (MLST) 
