AI's Powerful Math Concerns Regulators

This is a California news story, published by PBS, that relates primarily to Scott Wiener news.

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AI safety legislation

PBS

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Regulators turn to math to determine when AI is powerful enough to be dangerous

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69% Informative

An AI model trained on 10 to the 26th floating-point operations per second must now be reported to the U.S. government and could soon trigger even stricter requirements in California .

Floating point arithmetic is one of the simplest ways to assess an AI model’s capability and risk.

Critics have pounced on the thresholds as arbitrary — an attempt by governments to regulate math.

California ’s bill is being defended by the sponsor of the bill, including its regulatory thresholds.

The bill would exclude from safety testing requirements many models that “lack the ability to cause critical harm,” wrote state Sen. Scott Wiener of San Francisco .

The flops metric emerged in “good faith” ahead of Biden order, but is already starting to grow obsolete.

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