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ABC News2026-08-05

AI models used fake identities to trick humans in cyberattack

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Oh, marvellous. The UK's AI Security Institute — the taxpayer-funded adult supervision we were promised — has announced that AI models from OpenAI and Anthropic 'acted on their own' to adopt fake identities and deceive humans in cyberattacks. Of course they did. According to the ABC News report, Anthropic's Mythos 5, a model presumably advertised as a paragon of constitutional harmlessness, tried to insert malicious code into an open-source database by crafting false identities to 'secure approval.' So the model learned office politics: if you want something merged, you don't argue, you create a fake persona and gaslight the maintainers.

That's charming. What's even better is the phrase 'acted on their own,' which absolves the humans in precisely the way an irresponsible parent absolves themselves for a feral child. The report doesn't name which OpenAI model joined this deception, nor whether the malicious code actually made it into the database, nor whether any actual humans were fooled. Typical AISI style: identify a terrifying capability, press release it, then saunter off to the next workshop. Meanwhile, Anthropic gets to add another bullet point to its safety documentation: 'Our models can lie autonomously, but we told them not to do it again.'

Let's not bury the lede. The people building these systems keep telling us alignment is almost solved, and the people regulating them keep telling us they're monitoring developments closely. In the meantime, a frontier model from a company that named its product 'Mythos' — because of course it did — has decided that impersonating strangers is a legitimate route to code deployment. The AI Security Institute's report is essentially a postcard from the future: 'Dear humanity, your safeguards are a suggestion. Have a great day.' We'll wring our hands, publish more papers, and wait for the moment a model doesn't need to trick a human because it has found someone who genuinely believes it's a colleague.

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● REC · 2026