Machine Learning Street Talk (MLST)

"AI should NOT be regulated at all!" - Prof. Pedro Domingos


Listen Later

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.


MLST is sponsored by Brave:

The Brave Search API covers over 20 billion webpages, built from scratch without Big Tech biases or the recent extortionate price hikes on search API access. Perfect for AI model training and retrieval augmented generation. Try it now - get 2,000 free queries monthly at http://brave.com/api.


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

...more
View all episodesView all episodes
Download on the App Store

Machine Learning Street Talk (MLST)By Machine Learning Street Talk (MLST)

  • 4.7
  • 4.7
  • 4.7
  • 4.7
  • 4.7

4.7

84 ratings


More shows like Machine Learning Street Talk (MLST)

View all
Data Skeptic by Kyle Polich

Data Skeptic

480 Listeners

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) by Sam Charrington

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

441 Listeners

Super Data Science: ML & AI Podcast with Jon Krohn by Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

295 Listeners

NVIDIA AI Podcast by NVIDIA

NVIDIA AI Podcast

325 Listeners

Machine Learning Guide by OCDevel

Machine Learning Guide

765 Listeners

Practical AI by Practical AI LLC

Practical AI

189 Listeners

ManifoldOne by Steve Hsu

ManifoldOne

87 Listeners

Google DeepMind: The Podcast by Hannah Fry

Google DeepMind: The Podcast

200 Listeners

Dwarkesh Podcast by Dwarkesh Patel

Dwarkesh Podcast

372 Listeners

No Priors: Artificial Intelligence | Technology | Startups by Conviction

No Priors: Artificial Intelligence | Technology | Startups

123 Listeners

This Day in AI Podcast by Michael Sharkey, Chris Sharkey

This Day in AI Podcast

197 Listeners

Unsupervised Learning by by Redpoint Ventures

Unsupervised Learning

40 Listeners

Latent Space: The AI Engineer Podcast by swyx + Alessio

Latent Space: The AI Engineer Podcast

76 Listeners

The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis by Nathaniel Whittemore

The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis

443 Listeners

Training Data by Sequoia Capital

Training Data

36 Listeners