Cybersecurity Concerns Over Anthropic's Mythos Model
The Brian Lehrer Show
WNYC
4.6 • 1.5K Ratings
🗓️ 17 April 2026
⏱️ 27 minutes
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| 0:00.0 | It's the Brian Lera Show on WNYC. |
| 0:13.2 | Good morning again, everybody. |
| 0:14.5 | I'm Cusha Navidar filling in for Brian today. |
| 0:18.3 | It seems like every other day there is some big news in the AI world, usually in the |
| 0:23.1 | context of whether or not AI functions will replace human jobs. But this latest story feels different, |
| 0:30.4 | at least to me. On April 7th, Anthropic announced they would not be releasing their new AI model, |
| 0:37.1 | Claude Mythos preview to the public |
| 0:39.9 | because of cybersecurity concerns. One of Anthropics researchers wrote in a mythos assessment, |
| 0:45.7 | quote, this time the threat is not hypothetical. Advanced language models are here. So as part of |
| 0:52.2 | the Brian Laira shows ongoing coverage of cybersecurity and digital safety |
| 0:56.4 | in our lives, let's hear more about this from Miranda Nazaro, the Hills Senior Technology Reporter |
| 1:02.8 | who covers artificial intelligence, online misinformation, data privacy, other topics in the |
| 1:07.9 | overlapping spheres of tech and politics. She also co-authors the Hill's |
| 1:12.6 | technology newsletter. Miranda, hi, welcome to the show. Thanks so much, Kusha. Happy to be here. |
| 1:17.4 | Happy to have you. So help us unpack this. What exactly is Mythos? Sure. So Mythos is not like |
| 1:25.2 | the AI models that you and I may see like a chat GPT or even a Claude, |
| 1:30.6 | which is another one of Anthropics chatbots. |
| 1:33.3 | It's actually a model that's purpose is to spot cybersecurity vulnerabilities. |
| 1:39.0 | So basically what this means is it's taking the job that, say, a cybersecurity vendor itself would have done of trying |
| 1:46.2 | to find different areas where, you know, it might be a critical infrastructure, an internet |
| 1:51.9 | web browser might be vulnerable to attacks. So on the outset of this, it looks like this could be |
| 1:58.1 | a very useful product. We are seeing it can basically work 10 |
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