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Mythos in Podcasts

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Mythos is an AI model previewed by Anthropic, associated with potential autonomous capabilities and cybersecurity concerns.

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Mentions in Podcasts

LessWrong (Curated & Popular)
"If Mythos actually made Anthropic employees 4x more productive, I would radically shorten my timelines" by ryan_greenblatt

If Mythos actually made Anthropic employees for X more productive, I would radically shorten my timelines.

The Rundown
Anthropic’s Mythos Model Spooks the Fed, March CPI Highest in 4 Years

The Treasury Secretary Scott Besson and Fed Chair Jerome Powell called an emergency meeting this week with the CEOs of America's biggest banks to discuss the cybersecurity risks from Anthropic's new AI model called Mythos.

80,000 Hours Podcast
How scary is Claude Mythos? 303 pages in 21 minutes

But on the much broader problem that Mythos is shockingly capable, sometimes willing to continue sabotaging alignment research while hiding that from Anthropic, and that we simply can't tell anymore whether our tests of its personality and goals are working or not,

80,000 Hours Podcast
How scary is Claude Mythos? 303 pages in 21 minutes

Well, their answer on the computer security side is Project Glasswing, that coalition of 12 major companies like Apple, Google, Microsoft, who are gonna use Mythos Preview to secure all of our phones and computers and water systems and power plants and so on.

80,000 Hours Podcast
How scary is Claude Mythos? 303 pages in 21 minutes

But with Mythos, they were worried enough about it being misaligned and causing havoc or sabotage on their own systems.

80,000 Hours Podcast
How scary is Claude Mythos? 303 pages in 21 minutes

Mythos has given us AI advances that we previously thought would take six months in just three months.

80,000 Hours Podcast
How scary is Claude Mythos? 303 pages in 21 minutes

They've also surveyed staff and learned that they report being roughly four-fold more productive with Mythos than without AI, though they argue that speeding up staff four-fold is likely to lead to much less than a 2x increase in research progress overall.