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Scale and Emergence

  1. 01Scale and Emergence
  2. 02Memory card
  3. 03The loop that was being scaled
  4. 04What happens when you just make it bigger
  5. 05The improvement had a shape
  6. 06Hold this contrast
  7. 07Abilities that appear from nowhere
  8. 08Take a breath
  9. 09The GPT-3 moment
  10. 10A raw model is not yet helpful
  11. 11Teaching it to answer
  12. 12Letting humans steer it
  13. 13The side effect: confident and wrong
  14. 14Reinforce your understanding
  15. 15Question: What emergence means
  16. 16Question: Making the model helpful
  17. 17Question: Confident and wrong
  18. 18Quiz: answer
  19. 19Bigger changed what was possible
  20. 20Want to go deeper?
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Module VIII

The Model in the Machine

Chapter I

Scale and Emergence

In this chapter

  • The training loop, the one thing that was actually being scaled
  • What happens when you just make it bigger, and the GPT-3 moment
  • Why a raw model is not yet helpful, and how it gets shaped into an assistant
  • Why a confident model can be confidently wrong

The last module handed us a finished machine: the transformer. We know what it is made of and how it reads a whole sentence at once. This module asks the question that machine kept pointing at. What happens when you make it very, very large?

The honest answer is that something happens that nobody fully expected.

There is a kind of change that creeps along, small and steady, and then crosses a line and turns into something else. Heat water degree by degree and for a long while you just get warmer water. Keep going and at one exact temperature it stops being water at all and becomes steam. Same heat, same pot, but past a threshold the rules change.

Something like that happened as these models grew. More parts, more training text, more raw computing power. For a while they simply got better at the task they were built for: guessing the next word. Then, past a certain size, they started doing things no one had built into them. The ability to translate, to do arithmetic, to follow a recipe of instructions. Nobody put those abilities in. They showed up.

That is the word for this module: emergence. A new ability that appears from sheer scale, not from any single part. It is not magic, and we will take it apart carefully. But it surprised the people building these systems, and it is where the large-model story really begins.

Citations