On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.
Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the U.S. government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed.
Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman’s Steal This Book and Thomas Paine’s Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.
Gary Marcus is a leading voice in artificial intelligence, well known for his challenges to contemporary AI. He is a scientist and best-selling author and was founder and CEO of Geometric.AI, a machine learning company acquired by Uber. A Professor Emeritus at NYU, he is the author of five previous books, including the bestseller Guitar Zero, Kluge (one of The Economist’s eight best books on the brain and consciousness), and Rebooting AI: Building Artificial Intelligence We Can Trust (with Ernest Davis), one of Forbes’s seven must-read books on AI.
“Move fast and break things.”
“We didn’t take a broad enough view of our responsibility.”
“Generative AI systems have proven themselves again and again to be indifferent to the difference between truth and bullshit. Generative models are, borrowing a phrase from the military, ‘frequently wrong, and never in doubt.’ The Star Trek computer could be counted on to gives sound answers to sensible questions; Generative AI is a crapshoot. Worse, it is right often enough to lull us into complacency, even as mistakes invariably slip through; hardly anyone treats it with the skepticism it deserves. Something with reliability of the Star Trek computer could be world-changing. What we have now is a mess, seductive but unreliable. And too few people are willing to admit that dirty truth.”
Shermer and Marcus discuss:
- The AI we have now and the AI we should want
- AI, AGI, Generative AI, ChatGPT
- What’s the problem to be solved?
- 12 biggest threats of Generative AI
- The morality of Silicon Valley
- How Silicon Valley manipulates public opinion
- How Silicon Valley manipulates government policy
- Data rights
- Privacy
- Transparency
- Liability
- Independent oversight
- Incentives good and bad
- Private vs. Government regulation of AI
- International AI governance.
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This episode was released on September 17, 2024.
