Effective Altruism: An Introduction – 80,000 Hours cover image

Six: Ajeya Cotra on worldview diversification and how big the future could be

Effective Altruism: An Introduction – 80,000 Hours

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Scaling Lows in Machine Learning

The fundamental thing is that if you're trying to solve some task to some level of proficiency, like, let's say i want to get to at least grandmaster level in chess, then you need to pick a model that is big enough. Bigger models are capable of representing more sophisticated strategies. But they also need to see more experience to fill up all those numbers. So roughly speaking, the amount of experience they need is going to be proportional to Like the number of numbers they need to fill up.

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