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Apple has had to introduce a quota on security researcher reports because its systems are being overwhelmed by low-quality warnings generated by AI.
It's a classic illustration of the rule of unintended consequences: a technology meant to help us has become a barrier to getting things done. After all, not only has AI driven the cost of consumer electronics higher, but it is also being used to identify and exploit security vulnerabilities — while also overwhelming security teams with low-grade reports, thus eroding their attention span.
The cost of good intentions
This is what's happened at Apple, as security researchers use AI as a tool to identify new bugs. Perhaps the reports are well-intended. Hopefully, the researchers aren't just motivated by the promise of easy bug bounties. Or maybe this is a cynical attempt to overwhelm platform security teams with low-grade bug reports — while holding back larger attacks for actual use by well-resourced state-backed actors.
We can't know whether attackers really are trying to overwhelm active platform defenses before going in for the kill. But given that it's an actively used military strategy, it's pretty hard to ignore the possibility.
Apple's response
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 U.S. Senator Chuck Schumer has teamed up with several of his Senate colleagues to demand Apple commit to not purchasing chips from Chinese companies ChangXin Memory Technologies (CXMT) or Yangtze Memory Technologies Co. (YMTC). [PDF]
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Anthropic CEO Dario Amodei has argued that policymakers should keep lower-risk open-weight AI accessible while placing stricter safeguards around frontier systems, including mandatory testing and limits on China's access to advanced computing and model capabilities.
In a post outlining Anthropic's position, Amodei said broad restrictions, including bans on Chinese open-weight models used by US businesses, would not address his main national security concerns. Instead, he pointed to the possibility of authoritarian governments surpassing the US in advanced AI, as well as cyber, biological, and alignment risks posed by increasingly capable systems.
Amodei also called for action against industrial-scale model distillation, which he said allows Chinese developers to improve their models with less computing power than would be needed to train comparable systems from scratch.
The statement followed criticism of Anthropic for not signing an industry letter backed by Nvidia, Microsoft, Meta, IBM, Mistral, Hugging Face and other technology companies urging policymakers to avoid premature restrictions on open-weight models.
The letter said that open wei
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Private Chinese technology companies — some with ties to the military — are marketing detailed intelligence on movements of U.S. forces in Iran, even as Beijing seeks to keep its distance.
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International governments are passing laws that allow authorities to pressure tech companies such as Apple and Facebook for access to digital secrets.
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