Dario Amodei · Open Source · Anthropic · Claude · Nvidia · Jensen Huang · MIT Technology Review
Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major cyberattack risk
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Anthropic’s assertion is only the latest move in a long-running debate about whether frontier AI models should be made open, like GLM-5.3, or should stay locked behind the doors of the frontier labs.
Key facts
- Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major cyberattack risk
- Anthropic’s assertion is only the latest move in a long-running debate about whether frontier AI models should be made open, like GLM-5.3, or should stay locked behind the doors of the frontier labs
- The clearest, biggest argument [for open models] is around preventing mass concentration of power—it is about making sure that this foundational technology is a public good,” says Elizabeth Seger
- MIT Technology Review Explains: Let their writers untangle the complex, messy world of science and technology to help you understand what’s coming next
Summary
MIT Technology Review Explains: Let their writers untangle the complex, messy world of science and technology to help you understand what’s coming next. Late last month, Anthropic released a report arguing that the model GLM-5.3 poses a major cyberattack risk. These days, much of the debate about how to handle open models is playing out in public—and there’s a lot of money resting on its outcome. “I think a lot of the way you come down on the openness debate is influenced by how you come down on the AI debate,” says David Gray Widder, an assistant professor at the University of Texas at Austin School of Information. There are a range of ways to handle open models between banning them entirely and releasing them willy-nilly.