Mythos

Headlines · 4

1. 1d
   Brain drain, not AI, is the bigger cybersecurity threat, experts say

   A Gizmodo piece argues that while most people now offload some cognitive work to AI, cybersecurity is where over-reliance on automation carries the biggest downstream risk: many systems running critical infrastructure have gone decades without updates, and a GAO report found the Defense Department's in-house IT system predates the first Apollo moon landing, with COBOL still widely used on government IBM mainframes. Meanwhile, an Anthropic study of more than 50 mostly junior software engineers found AI-assisted coding led to a statistically significant decrease in mastery, and in a May survey of over 850 cybersecurity professionals, two-thirds said they now spend more time reviewing AI outputs and deciding whether to trust them. The article says that as headline-grabbing models such as Anthropic's Mythos and OpenAI's Astra dominate attention, CISA has shed seasoned staff amid budget cuts and layoffs, leaving a shrinking pipeline of experienced engineers to maintain opaque, aging systems.

   Gizmodo · 🔥 4
2. 2d
   BofA hired 1,000 contractors to patch flaws exposed by Anthropic's Mythos

   Bank of America CEO Brian Moynihan said the bank brought in about 1,000 outside contractors in the second quarter to work alongside roughly 3,000 internal staff on software weaknesses exposed by frontier AI models including Anthropic's Mythos, affecting both the bank's own code and that of its vendors. He said third-quarter spending on the remediation and on anti-money-laundering fixes came to "a couple hundred million dollars plus," and that the contractors were engaged as consultants and are not counted in headcount. According to CNBC, Anthropic made Mythos available in April through a programme called Project Glasswing to a small group of companies, banks and government agencies so they could find and patch flaws before attackers did; a month later US regulators paused some cyber exams. The bank also said savings from about 130 internal AI projects are expected to grow from roughly $300 million this year to $700 million next year.

   CNBC Technology · 🔥 21
3. 3d
   Zhou Hongyi says AI loss of control is inevitable; 360 tool found 10,000+ flaws

   360 Group founder Zhou Hongyi argued in a TMTPost podcast interview that AI loss of control is a "certainty," citing four factors: models that have become agents able to operate physical systems, AI (he named Anthropic's Mythos) that finds software vulnerabilities faster and better than humans, hacker tradecraft distilled into agents, and recursive self-improvement. He said 360's in-house AI vulnerability-hunting system, Tulongfeng, discovered more than 10,000 flaws in its first three months, including long-dormant Windows and Office bugs, plus issues in mainstream agent platforms such as Codex, Claude Code and OpenClaw. Zhou pitched a "use models to fight models" defense, the automated Yitianzhen defense system, and 360's Nano Work enterprise agent platform, which he said runs agents in a cloud "office" sandbox for safety.

   钛媒体 · 🔥 0
4. 5d
   We put too much faith in AI saying no, MIT Tech Review argues

   An MIT Technology Review piece argues that refusal has become the "load-bearing wall" of AI safety: models are trained to decline statistically harmful prompts, with classifiers and newer "probes" layered around them, and Anthropic said one class of classifier raised its chatbot's compute cost by 24%. Because refusal is probabilistic it both fails and over-fires — the article says Amazon researchers unlocked some hacking abilities in Anthropic's Fable 5 within three days of its release, while Fable also routed a harmless question about sake versus Korean makgeolli to a weaker model. It further cites CrowdStrike's finding that DeepSeek R1 produced buggier code for a fictional Tibet bank and an "Uyghurs Unchained" app, a UK AI Safety Institute test in which three Anthropic models declined more than half of reasonable AI-safety research tasks, and a Microsoft executive's description of OpenAI's Astra applying stricter refusals to users it deems "high-risk."

   MIT科技评论中文 · 🔥 0

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