Research

AI and compute

Source: OpenAI News 16 May 2018

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AI audio in English, based on the NadiAI brief and original source.

Brief

We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period)[^footnote-correction]. Since 2012, this metric has grown by more than 300,000x (a 2-year doubling period would yield only a 7x increase). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities.

Why It Matters

Jika trend ini berterusan, persediaan diperlukan untuk implikasi sistem AI yang jauh melebihi keupayaan hari ini.

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