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"Two-year update on my personal AI timelines" by Ajeya Cotra

LessWrong (Curated & Popular)

CHAPTER

ML Scaling Up

My report forecasted algorithmic progress. The FLOP required to train a transformative model in year Y. Hardware progress. Flop per dollar in year Y, and willingness to spend. Dollar that the largest training run could spend on FLOP in year X. Considering endogenalities in spending and research progress. Seeing continued progress and no major counter-examples to DL scaling well.

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