Anthropic’s most powerful AI, Mythos, was never meant to escape. Designed to find hidden software flaws, it recently uncovered a 27-year-old bug in OpenBSD - proof it can crack systems thought secure. The company restricted access to just 11 trusted partners, including Apple and JP Morgan, citing extreme risk. That control failed.
A hacker collective on Discord gained unauthorized access through a third-party vendor, bypassing Anthropic’s safeguards. According to Saagar Enjeti on Breaking Points, the leak hands adversaries a roadmap to exploit critical infrastructure. The Bank of England has sounded alarms; Canada’s finance minister likened the threat to a Strait of Hormuz blockade. This isn’t speculation - Mythos automates high-severity cyberattacks at superhuman speed.
"If Mythos can map a roadmap for hackers to attack power grids, the time for voluntary safety pledges has passed."
- Saagar Enjeti, Breaking Points
The breach torpedoes Anthropic’s safety branding. Nathaniel Whittemore on The AI Daily Brief called it a failure of third-party security: control is an illusion when the supply chain is porous. Sam Altman mocked the irony - building a bomb, then selling $100 million shelters. The model’s power was real, but so was its fragility.
Regulators are now cornered. While medical drugs face years of safety trials, AI tools capable of collapsing banks operate under startup discretion. The NSA is already using Mythos in classified settings, and Amazon just committed $25 billion to Anthropic for compute and model access. This isn’t oversight - it’s a backdoor arms race.
"We are betting the stability of the global financial system on the server security of a single company."
- Krystal Ball, Breaking Points
The Pentagon labels Anthropic a supply chain risk, yet the NSA uses its tools. President Trump signaled détente after a White House meeting, calling the team 'very smart.' The contradictions are structural. A model too dangerous for public release is now loose - and the only entities equipped to defend are those with billions to spend.


