AI and compute
OpenAI has released an analysis showing that the amount of computer power used in the largest artificial intelligence training runs has been increasing exponentially since 2012. Specifically, this metric has doubled every 3.4 months, resulting in a growth of over 300,000 times since 2012. This rapid increase is attributed to improvements in compute capabilities, which have been a key driver of AI progress.
OpenAI has released an analysis showing that the amount of computer power used in the largest artificial intelligence training runs has been increasing exponentially since 2012. Specifically, this metric has doubled every 3.4 months, resulting in a growth of over 300,000 times since 2012. This rapid increase is attributed to improvements in compute capabilities, which have been a key driver of AI progress.
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Why it matters: This trend matters because it implies that future AI systems will likely be significantly more powerful than current ones, with potential implications for fields like research, industry, and policy.
Source: https://openai.com/index/ai-and-compute
This article was originally published at: https://openai.com/index/ai-and-compute