Anthropic's powerful new AI model raises concerns about high-tech risks
PBS News Hour - Segments
PBS NewsHour
4.1 • 1K Ratings
🗓️ 9 April 2026
⏱️ 6 minutes
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| 0:00.0 | Anthropic announced this week it has begun limited testing of its newest AI model called Mythos, |
| 0:06.0 | one the company says is so powerful it could cause widespread disruption if released to the public. |
| 0:12.0 | It's just generally better at pursuing really long-range tasks that are kind of like the tasks that a human security researcher would do throughout the course of an entire day. |
| 0:23.6 | Obviously, capabilities in a model like this could do harm if in the wrong hands. |
| 0:28.6 | And so we won't be releasing this model widely. |
| 0:31.6 | For now, Anthropic is giving more than 40 tech companies, including some rivals access to mythos, to test it and |
| 0:38.8 | identify vulnerabilities across systems. But even that move is raising concerns. For a closer look at all |
| 0:44.9 | of this and the implications, we're joined now by Garrett Van derrick, who covers AI for the Washington |
| 0:50.4 | Post. Thanks for being with us. Of course. So help us understand the concern here. What specifically makes this model different |
| 0:57.0 | from other AI models? And why is there so much, frankly, fear around it? The specific concerns |
| 1:04.3 | that are being called out here is that this model is really good at finding, you know, |
| 1:08.0 | gaps in software that hackers could exploit. So right now, you know, all software has bugs, but software is pretty complicated, |
| 1:14.6 | and you need to kind of really know what you're doing in order to sift through all that code |
| 1:18.6 | to find something that you could then use to hack into a system. |
| 1:21.6 | And what Anthropic is saying, and some of the independent cybersecurity experts |
| 1:25.6 | that they've also given access to this model to are saying, |
| 1:29.4 | is that this can essentially do that automatically. |
| 1:31.7 | It can sift through all sorts of code, something that might take humans who are very good at this, |
| 1:37.4 | months to do. |
| 1:38.3 | It can do in minutes or hours. |
| 1:40.5 | And so the concern here is that if this is sort of out in the public, anyone can use it, |
| 1:44.8 | that anyone who wants to hack into any kind of software for whatever reason would be able to do it |
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