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

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, often holds more transformative potential than generative AI, including LLMs. While generative AI cannot generally be blindly trusted, predictive AI has the potential to operate autonomously for some applications, across a wide range of industries.

Here’s why Siegel thinks more potential lies with predictive modeling for many organizations, and why we’re not going to replicate general 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/e...

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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 AI Playbook: Mastering the Rare Art of Machine Learning Deployment," as well as the bestselling "Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die."