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Restricting compute could buy time for safeguards but would challenge a key competitive edge in building stronger models.
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OpenAI and Anthropic face growing calls to slow AI development by restricting the computing power available to researchers. The proposal could buy time for better safeguards, but it would challenge a key competitive advantage in the race to build more powerful models. Full story:Read original on X
Sam Altman told OpenAI employees that the industry needs better ways to slow the development of potentially dangerous AI. His proposed paths include international regulation, merging leading AI labs or allowing one company to dominate computing resources. Full story:Read original on X
Calls grow to limit AI computing power at OpenAI and Anthropic
Calls grow to limit AI computing power at OpenAI and Anthropic
Calls grow to limit AI computing power at OpenAI and Anthropic
Calls grow to limit AI computing power at OpenAI and Anthropic
Calls grow to limit AI computing power at OpenAI and Anthropic
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It would be a second AI lab claiming a result against the same decades-old complexity conjecture.
One claimed result would show the Exponential Time Hypothesis is false, a central conjecture in complexity theory.
Businesses can automate more office work when a cheaper model scores the same on real tasks.
Price cuts are pulling large AI spending contracts away from Anthropic and intensifying competition between the labs.