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Taming Silicon Valley - Prof. Gary Marcus
01:56:55
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2024/9/24
Machine Learning Street Talk (MLST)
AI Chapters
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Chapters
What Are the Flaws and Improvements in AI, and How Does the Industry Respond?
Is AI Safety Being Taken Seriously, and What Are the Issues with Image Generation?
Why Does AI Lack World Models and Human-like Understanding?
Are Large Language Models Truly Intelligent, or Just Superficial?
How Effective Is AI in Specialized Domains Like Chess and Coding?
What Are the Capabilities and Limitations of AI-Generated Code?
Why Is Regulating AI So Challenging, and What Resistance Exists?
What Copyright Issues Arise with AI, and How Do They Affect Business Models?
What Societal Risks Does AI Pose, and How Can We Address Them Ethically?
What Are the X-Risks of AI, and How Can We Implement Moral Principles?
What Are the Persistent Flaws in AI, and What Challenges Do They Present?
What Does the Future of AI Hold, and How Will It Impact Surveillance and the Economy?
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