Exploring the Limits of Narrow AI and Visual Learning Resources

From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.

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Featuring:

• Chris Benson – Website, GitHub, LinkedIn, X
• Daniel Whitenack – Website, GitHub, X

Show Notes:

• The first high-performance self-supervised algorithm that works for speech, vision, and text
• DeepMind says its new AI coding engine is as good as an average human programmer
• Artificial intelligence system rapidly predicts how two proteins will attach
• Seeing Theory

Books

• “The Art of Doing Science and Engineering” by Richard W. Hamming
• “Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht

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