Why has the RBI asked banks to prepare for AI-powered cyber threats? The regulator has warned banks to assess risks linked to advanced frontier AI models and strengthen their cybersecurity systems.
Should advanced AI be regulated like airplanes and medicines? Anthropic CEO Dario Amodei thinks so. He argues that the world’s most powerful AI systems should undergo independent safety testing
Canadian Prime Minister Mark Carney said Sunday US restrictions on Anthropic's newest AI models show the dangers of overreliance on a limited number of American providers. AI giant Anthropic said Friday it has taken its latest artificial intelligence models, known as Fable 5 and Mythos 5, offline to comply with a directive from the Trump administration to prevent their use by foreign nationals. The export controls mark the US government's most significant step to date to restrict access to the most advanced AI models. Anthropic released Fable widely this week. That model is a limited version of the even more advanced Mythos, to which the company has tightly limited access due to cybersecurity fears. "The situation we're in collectively right now with Mthos and Fable is something that can happen with overreliance on certain models" Carney said. "Nobody has done anything wrong in the situation. But we will have done something wrong if we just accept this, don't take the lesson, don't
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The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance; access to all other Anthropic models will not be affected, Anthropic said
Zuckerberg is pumping hundreds of billions of dollars into AI as he seeks to reshape his company's inner workings around technology, reflecting a broader pattern among major US companies this year
OpenAI also has been sued by individuals claiming a range of harms from the company's chatbot on children and adults alike, including accusations it has led to deaths by suicide
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Dario Amodei said the use case in this instance didn't violate the company's policies, arguing military decision makers make terrible mistakes even at the best of times