The Future of Generative AI - Possibilities and Challenges

The Future of Generative AI - Possibilities and Challenges

The Royal Institution via YouTube Direct link

How do neural networks work?

2 of 18

2 of 18

How do neural networks work?

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The Future of Generative AI - Possibilities and Challenges

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  1. 1 What is machine learning?
  2. 2 How do neural networks work?
  3. 3 How Silicon Valley money created Big AI
  4. 4 The birth of Transformer Architecture
  5. 5 How was GPT-3 trained and created?
  6. 6 A massive step change in AI
  7. 7 How GPT-3 passed the 90s AI reasoning test
  8. 8 How has AI learned things it wasn't taught?
  9. 9 Chat GPT and how NOT to use it
  10. 10 Why do LLMs get things wrong so often?
  11. 11 The problems of bias and toxicity
  12. 12 Copyright issues with LLMs
  13. 13 Interpolation vs Extrapolation
  14. 14 Is this the dawn of General AI?
  15. 15 The different varieties of General AI
  16. 16 What actually is human general intelligence?
  17. 17 Is machine consciousness possible?
  18. 18 Steeped in nearly two centuries of tradition, a Discourse is more than just a lecture. The Discourse lasts exactly an hour, and a bell is rung to mark the beginning and end. To keep the focus on the …

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