Debate Heats Up Over AI's Readiness and Limitations

TL;DR Summary
The article discusses the limitations of large language models (LLMs) in achieving artificial general intelligence (AGI), highlighting skepticism from experts like Gary Marcus and the shift towards alternative approaches such as world models, which simulate and learn from the real world. It also covers the current AI industry bubble, the challenges with data and scaling, and the potential of new AI paradigms to reach true general intelligence.
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- Column: Time to get real about artificial intelligence Chicago Tribune
- Devlin Brown at the water cooler: AI not ready for real-world use, but it’s getting there BusinessLIVE
- Bubbling questions about the limitations of AI Maine Public
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