2min chapter

80,000 Hours Podcast cover image

#90 – Ajeya Cotra on worldview diversification and how big the future could be

80,000 Hours Podcast

CHAPTER

ML Models Are Worse Than Babies

Babies learn stuff so much faster than our current ML models they're much much better at generalizing from single cases. So the kind of middle hypotheses are based on this empirical observation that training a bigger model where bigger models can generally do more complicated interesting thingsTraining a bigger model takes more data and there's some sort of scaling relationship between the size of the model and the data it takes.

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