According to reports, the "strongest AI" Claude Mythos Preview recently released by Anthropic, which caused panic among global financial institutions, is suspected of serious overstatement. Relevant surveys indicate that the so-called "nuclear-level" destructive power of the model was greatly reduced in actual testing.

Core Controversy: The "Mathematical Game" of Vulnerability Counts

Anthropic previously claimed that Mythos had the ability to discover thousands of security vulnerabilities and therefore launched the Project Glasswing program, available only to a small group of giants like Google and Microsoft. However, Tomshardware's research has debunked this myth:

Extrapolation Delusion: The so-called "thousands of vulnerabilities" were not all verified, but based on mathematical extrapolation from an accuracy rate of 90% in just 198 manually audited reports.

Questionable Severity: In actual testing of 7,000 open-source software stacks, Mythos found 600 vulnerabilities, of which only about 10 were confirmed as severe.

Limited Value: A large number of marked issues were actually old software defects, almost unexploitable under modern defense mechanisms, increasing the burden for security personnel to filter out "noise".

Strategic Doubts: "Not Open" Due to Cost Reasons?

Anthropic once stated that it would not open access to the public, citing reasons such as the model being too strong and potentially disrupting global security. However, industry analysis offers a more realistic explanation:

High Costs: Although officially claiming to "ban sales", the model has quietly been launched on Amazon and Microsoft cloud platforms, but due to extremely high operating costs, it is extremely expensive.

Marketing Gimmick: This strategy of "creating a god-like image and then limiting access" is accused of using public fear of AI risks for marketing, similar to OpenAI's promotion of the "AGI threat theory".

Industry Perspective: Risk of Dumbing Down and Reputation Decline

Although Anthropic's programming model was once considered the strongest in the industry, its recent performance has been unstable:

Complaints About Dumbing Down: The community has frequently seen feedback about Claude model "dumbing down", causing fluctuations in reputation.

Concerns About Visibility: Frequent dissemination of claims such as "AI developing self-awareness" is believed to be a way to gain visibility in intense industry competition through creating panic.

Conclusion: Beware of "Terrifying Marketing" in the AI Era

When the legend of Claude Mythos discovering a vulnerability unseen for 27 years was broken down into data extrapolation, we should perhaps focus more on the actual engineering value of AI, rather than its deliberately packaged "destructive power". In the game between algorithms and human safety, real transparency is far more important than sensational numbers.