

#2593
Mentioned in 18 episodes
Rebooting AI
Building Artificial Intelligence We Can Trust
Book • 2019
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.
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.
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Mentioned in 18 episodes
Mentioned by
Alex Kantrowitz as the author of the book during the introduction of the podcast episode.


210 snips
Is AI Scaling Dead? — With Gary Marcus
Mentioned by Gary Marcus in the context of discussing the accuracy of AI systems and the need for a separate fact-checking mechanism.

44 snips
If ChatGPT Designed A Rocket — Would It Get To Space?
Mentioned by the podcast host as one of his previous publications.

23 snips
241. Gary F. Marcus with Ted Chiang How to Make AI Work for Us (And Not the Other Way Around)
Mentioned by
Scott Galloway as one of the authors of Rebooting AI, which is listed as one of Forbes' seven must-read books on AI.


17 snips
The AI Hype Cycle — with Gary Marcus
Mentioned by
Sean M. Carroll as the author of the book, discussing AI's limitations and the need for a hybrid approach.


184 | Gary Marcus on Artificial Intelligence and Common Sense