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    One commentary frames AI safety as a cybersecurity problem

    The author predicts cyber-defense will become a major business for OpenAI and Anthropic as they seek to sustain rapid revenue growth.

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    1 Source, 19d ago, first seen 19d ago

    TLDR

    For people outside frontier model development and high-level policy, one commentary argues that cybersecurity offers a simple way to think about AI safety. The author says leading AI models are good at finding and patching—or exploiting—computer vulnerabilities, and cites an Anthropic threat intelligence report describing attempts to misuse Claude. That dual capability underpins the author’s prediction that cyber-defense will become a major business for OpenAI and Anthropic.

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    1 Source, first seen 19d ago

    Combined views

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    1 Source, first seen 19d ago

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    3 comments
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    1 Source

    @EricNewcomerThe uproar over AI safety that dominated the tech conversation this week was something to behold: whistleblowers declaring the end is near, politicians in a panic about how to handle what will likely be the most consequential issue of their careers, and many in the industry deeply uncertain about the level of risk that further model improvements might bring. The fears of an individual young researcher who worked at Anthropic for less than two months have gotten far more airtime than they deserve. Whatever your level of p(doom), though, for anyone not directly involved in frontier model development or high-level policy, there’s a simple way to think about all this: it’s a cybersecurity problem. That’s what was on the minds of founders we spoke with this week. The Anthropic threat intelligence report published Thursday detailing bad actors’ efforts to use Claude in nefarious ways also underscores the point. Threat intelligence has been a tech growth industry for decades. Top-tier AI models are very, very good at finding and patching — or exploiting — vulnerabilities in computer systems. Cyber-defense is thus set to become a major line of business for OpenAI and Anthropic. It’s coming at a crucial moment for the model providers, which need to sustain vertiginous revenue growth ahead of their IPOs but are starting to see signs that established categories like coding may not be enough. However you might feel about buying solutions from the people who caused the problem, you might not have much choice. “Where there’s a vulnerability in a system you can now hack something in a few hours,” said Erik Bernhardsson, the co-founder of Modal. “We’ve been running those models internally; they’re very good at finding things.” from @cityofthetown in @NewcomerMedia

    1 Source

    @EricNewcomerThe uproar over AI safety that dominated the tech conversation this week was something to behold: whistleblowers declaring the end is near, politicians in a panic about how to handle what will likely be the most consequential issue of their careers, and many in the industry deeply uncertain about the level of risk that further model improvements might bring. The fears of an individual young researcher who worked at Anthropic for less than two months have gotten far more airtime than they deserve. Whatever your level of p(doom), though, for anyone not directly involved in frontier model development or high-level policy, there’s a simple way to think about all this: it’s a cybersecurity problem. That’s what was on the minds of founders we spoke with this week. The Anthropic threat intelligence report published Thursday detailing bad actors’ efforts to use Claude in nefarious ways also underscores the point. Threat intelligence has been a tech growth industry for decades. Top-tier AI models are very, very good at finding and patching — or exploiting — vulnerabilities in computer systems. Cyber-defense is thus set to become a major line of business for OpenAI and Anthropic. It’s coming at a crucial moment for the model providers, which need to sustain vertiginous revenue growth ahead of their IPOs but are starting to see signs that established categories like coding may not be enough. However you might feel about buying solutions from the people who caused the problem, you might not have much choice. “Where there’s a vulnerability in a system you can now hack something in a few hours,” said Erik Bernhardsson, the co-founder of Modal. “We’ve been running those models internally; they’re very good at finding things.” from @cityofthetown in @NewcomerMedia