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Generative AI is not the panacea we’ve been promised | Eric Siegel for Big Think+

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Eric Siegel has been in the AI field since 1991. He’s “horrified” by the AI hype bubble, but not for the reason you may think.

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Is generative AI the viral sensation we’ve been promised? Headlines are selling it as a panacea, but 30-year AI industry vet Eric Siegel says that’s mostly hype. It may be impressive and introduce efficiencies, but it won’t run the world as we’ve been promised.

Predictive AI, Siegel argues, holds all of the transformative potential that we’ve been guaranteed with generative AI and the LLMs that have become increasingly popular. While generative AI works on a low-level of detail and isn’t able to be trusted blindly, predictive AI is fully-autonomous, and can be implemented across a wide range of industries.

Here’s why Siegel thinks the actual potential lies with predictive modeling, and why we’re not going to replicate human intelligence in machines anytime soon.

Timestamps:
0:00 - The Generative AI illusion
1:05 - Generative AI’s function
3:13 - Generative vs. Predictive
4:21 - The Predictive AI process
6:57 - Moving towards AGI?

Read the video transcript ► https://bigthink.com/series/legends/eric-siegel-generative-ai/?utm_source=youtube&utm_medium=video&utm_campaign=youtube_description

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About Eric Siegel:

Eric Siegel is a leading consultant and former Columbia University and UVA Darden professor. He is the founder of the long-running Machine Learning Week conference series, a frequent keynote speaker, and author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
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