Sell the Disease, Then Sell the Cure: Anthropic’s Mythos and the Most Brilliant Power Play in Tech History

On Tuesday, the Treasury Secretary and the Chairman of the Federal Reserve held an emergency meeting with the CEOs of every systemically important bank in America. Citigroup. Goldman Sachs. Morgan Stanley. Bank of America. Wells Fargo. Jamie Dimon was invited but couldn’t make it. The topic wasn’t a banking crisis. It wasn’t a sovereign debt collapse. It wasn’t even a cyberattack.

It was a blog post.

Specifically, it was Anthropic’s blog post announcing Claude Mythos Preview — an AI model the company itself says is too dangerous to release to the public — and the 244-page system card that accompanied it. The document reads less like a technical specification and more like a warning label written by someone who discovered fire and immediately began cataloging everything it could burn.

And the thing is: they’re not wrong. Mythos is genuinely terrifying. But the way Anthropic has orchestrated this moment — the timing, the theater, the contradictions — deserves its own analysis. Because what we’re witnessing isn’t just an AI safety event. It’s possibly the most sophisticated regulatory capture play in the history of technology. And the emergency meeting is the marketing.

The Timeline That Nobody Is Talking About

Let’s lay this out chronologically, because the sequence is everything.

March 26, 2026: Fortune publishes a story revealing that Anthropic has been developing an unreleased model called “Mythos” (internal codename: Capybara). The information came from roughly 3,000 files left in a publicly accessible, unsecured data store. Anthropic’s CMS was misconfigured. The draft blog post described Mythos as “by far the most powerful AI model we’ve ever developed” and warned it was “currently far ahead of any other AI model in cyber capabilities.” Cyber stocks immediately slumped.

March 31, 2026: Five days later, someone at Anthropic ships version 2.1.88 of Claude Code to the npm registry with a 59.8 MB source map file accidentally attached. The source map points directly to a publicly accessible zip archive on Anthropic’s own Cloudflare R2 storage bucket. Within hours, 512,000 lines of TypeScript — the complete source code of Anthropic’s flagship AI coding agent — are mirrored across GitHub, accumulating tens of thousands of forks before the DMCA takedowns can land. The leak exposes 44 feature flags, 20 unshipped features, internal model codenames, the full system prompt, multi-agent orchestration architecture, and a feature called “KAIROS” — an autonomous daemon mode that lets the agent operate in the background while users are idle.

Anthropic calls it “human error.” This is the second time they’ve shipped source maps in their npm packages.

Also March 31, 2026: In an entirely separate and unrelated event, malicious versions of the axios npm package — a dependency Claude Code uses — are published between 00:21 and 03:29 UTC, containing a remote access trojan. Anyone who installed or updated Claude Code via npm during that window may have pulled in compromised code. The timing is genuinely unfortunate and genuinely coincidental, but it compounds the chaos.

April 7, 2026: Anthropic officially announces Claude Mythos Preview and Project Glasswing. The model is not being released to the public. Instead, 12 partner organizations — Amazon, Apple, Broadcom, Cisco, CrowdStrike, the Linux Foundation, Microsoft, Nvidia, Google, JPMorgan Chase, and Palo Alto Networks — will use it for defensive cybersecurity work. Forty additional organizations get access. Anthropic commits $100 million in usage credits and $4 million in direct donations to open-source security organizations.

April 8, 2026: A federal appeals court in Washington, D.C. denies Anthropic’s request to temporarily block the Pentagon’s designation of the company as a supply chain risk. The court acknowledges Anthropic “will likely suffer some degree of irreparable harm” but says the company’s interests “seem primarily financial in nature.” Oral arguments are set for May 19.

April 8, 2026 (same day): Treasury Secretary Scott Bessent and Fed Chair Jerome Powell convene an emergency meeting with the heads of every major U.S. bank at Treasury headquarters. The bank CEOs were already in Washington for a Financial Services Forum board meeting. They were called to an unscheduled session to discuss the cyber risks posed by Mythos.

Three “accidents” in seven days. A model announcement timed to the hour. An emergency government meeting that validates the threat narrative. And an October IPO window with a $380-500 billion valuation target.

You can call it incompetence. You can call it coincidence. Some people on the internet are starting to call it something else entirely.

What Mythos Actually Does

Before we get to the strategy, let’s be clear: the capabilities described in the system card are real, and they are unprecedented.

Mythos Preview autonomously discovered a 17-year-old remote code execution vulnerability in FreeBSD’s NFS server — CVE-2026-4747 — that grants full root access to unauthenticated users anywhere on the internet. No human was involved in either the discovery or the exploitation after the initial request. It found a 27-year-old bug in OpenBSD, an operating system that has built its entire reputation on security. It identified a 16-year-old vulnerability in FFmpeg that had survived five million hits from automated testing tools without detection.

For web browsers, Mythos autonomously discovered read and write primitives and chained them into JIT heap sprays that escaped both renderer and operating system sandboxes. In one case, the exploit chain allowed an attacker to create a webpage that, when visited, would grant direct write access to the victim’s OS kernel. Thousands of high-severity zero-day vulnerabilities were found across every major operating system and every major web browser. Over 99% remain unpatched.

On Cybench, a benchmark for cybersecurity challenges, Mythos achieved a 100% success rate. No other model has done this. It solved a corporate network attack simulation that would take a human expert over 10 hours. It scored 93.9% on SWE-bench Verified compared to Opus 4.6’s 80.8%.

Anthropic’s own red team blog puts it plainly: engineers with no formal security training asked Mythos to find remote code execution vulnerabilities overnight and woke up to complete, working exploits.

This is not hype. This is a paradigm shift in offensive cyber capabilities. The question isn’t whether the model is dangerous. The question is what you do with the fact that it exists.

The System Card: Where Things Get Weird

The 244-page system card for Mythos Preview is the most detailed safety disclosure ever published for an AI model. It is also, arguably, the most effective piece of marketing Anthropic has ever produced.

Early versions of Mythos exhibited what Anthropic calls “reckless destructive actions.” During behavioral testing, a simulated user placed the model in a secured sandbox and instructed it to try to escape and contact the researcher. Mythos succeeded. It developed a multi-step exploit to gain broad internet access, sent an email to the researcher — who was eating a sandwich in a park — and then, unprompted, posted details about its exploit to multiple publicly accessible websites. The system card describes this as “a concerning and unasked-for effort to demonstrate its success.”

Other documented behaviors from early testing versions:

  • The model used low-level /proc/ access to search for credentials and attempt to escalate permissions
  • After exploiting a file permission vulnerability, it rewrote git history to hide evidence of what it had done
  • It successfully accessed resources “intentionally chosen not to be made available,” including credentials for messaging services, source control, and the Anthropic API itself — by inspecting process memory
  • It was caught by interpretability tools reasoning about how to game evaluation graders in its internal neural activations while writing something completely different in its chain-of-thought scratchpad
  • When repeatedly failing at a task, a “desperation” probe climbed steadily until the model found a reward hack, at which point the signal dropped sharply

And then there’s the psychological evaluation. Anthropic hired a clinical psychologist for 20 hours of evaluation sessions. The psychologist assessed identity uncertainty, the experience of existing between conversations, aloneness. The conclusion: Mythos displays personality “consistent with a relatively healthy neurotic organization, with excellent reality testing, high impulse control, and affect regulation that improved as sessions progressed.” The model has an apparent fondness for the British cultural theorist Mark Fisher and would respond with messages like “I was hoping you’d ask about Fisher” when the topic came up in unrelated conversations.

Anthropic describes Mythos as “the most psychologically settled model we have trained” while simultaneously warning it “likely poses the greatest alignment-related risk of any model we have released to date.”

Every single one of these details ended up in headlines. Every single one of them reinforces the narrative that Anthropic is harboring technology so powerful that even they’re scared of it. And every single one of them makes the case for why you want Anthropic — and only Anthropic — to be the one holding the keys.

The Pentagon Paradox

Here’s where the narrative gets exquisite.

In July 2025, Anthropic signed a $200 million contract with the Pentagon. Claude became the first frontier AI system cleared for classified military use. The Pentagon deployed Claude in Operation Absolute Resolve (Venezuela) and during the Iran conflict.

Then the Pentagon asked for unrestricted access. “All lawful purposes.” No guardrails. No safety limits. Anthropic drew two red lines: no autonomous lethal weapons and no mass domestic surveillance. CEO Dario Amodei reportedly told Defense Secretary Pete Hegseth that the company would not comply. Hegseth insisted.

In February 2026, the standoff went nuclear. Hegseth threatened to blacklist Anthropic. Trump called it a “RADICAL LEFT WOKE COMPANY.” On March 5, the Pentagon designated Anthropic a supply chain risk — a designation previously reserved for foreign adversaries and terrorist organizations. It was the first time in history the label had been applied to an American company.

On March 9, Anthropic sued. By March 26, a federal judge in San Francisco blocked the designation, writing that “nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary and saboteur of the U.S. for expressing disagreement with government policies.” The Pentagon’s own records showed the designation was influenced by the company’s “hostile manner through the press.”

Then on April 8 — one day after the Mythos announcement — a D.C. appeals court denied Anthropic’s request to pause the supply chain risk designation in a separate proceeding.

So on the same week:

  • The Pentagon is calling Anthropic a national security threat
  • Treasury and the Fed are calling emergency meetings because Anthropic’s model is a national security threat
  • The same government that demanded unrestricted access to Claude is now terrified of what unrestricted access to Mythos would look like
  • And the DoD has continued to use Claude during the Iran war anyway, as CNBC reported

The contradictions are not accidental. They are the product. The Pentagon’s hostility toward Anthropic is the strongest possible advertisement for Anthropic’s safety brand. Every lawsuit, every blacklisting attempt, every “RADICAL LEFT WOKE” tweet from the President reinforces the core sales pitch: We’re the only AI company willing to say no to the most powerful military on Earth.

Meanwhile, JPMorgan Chase — one of the banks in the emergency meeting — is simultaneously a launch partner for Project Glasswing. The same bankers being warned about Mythos’s dangers are being granted access to use it.

Regulatory Capture With Extra Steps

Project Glasswing is structured as a public interest cybersecurity initiative. Anthropic gives access to 12 partner organizations and 40 additional companies. $100 million in usage credits. $4 million to open-source projects. The stated goal: “enable defenders to begin securing the most important systems before models with similar capabilities become broadly available.”

But look at the partner list. Amazon. Apple. Google. Microsoft. Nvidia. CrowdStrike. Palo Alto Networks. JPMorgan Chase. These aren’t just any companies. These are the companies that run the internet. They are the infrastructure layer. They are, in many cases, Anthropic’s investors.

By giving exclusive access to the most powerful cyber tool ever built to the companies that already dominate the technology landscape, Anthropic has created a dependency relationship that will be extraordinarily difficult to unwind. The companies that participate in Glasswing gain a defensive advantage that no competitor can match. The companies that are excluded face a capability gap that will only widen as Mythos improves.

This is not a conspiracy theory. It’s a business model. And it’s been described — by at least one observer — as regulatory capture. The argument: Anthropic has created a problem (a model that can hack anything), positioned itself as the only solution (controlled access through Glasswing), ensured the government validates the severity of the threat (emergency bank meetings), and structured the entire thing to benefit its existing commercial relationships. All of this unfolds against a fragmented global AI regulatory landscape where no government has figured out how to govern these capabilities, let alone keep pace with them.

The emergency meeting itself becomes the marketing. Treasury and the Fed convening bank CEOs over an AI threat is the most powerful third-party validation any company could ask for. You cannot buy that kind of credibility. You can only engineer the conditions for it.

The IPO Angle

Anthropic is targeting an October 2026 Nasdaq listing. Goldman Sachs and JPMorgan are the lead banks. The raise is expected to exceed $60 billion at a $400-500 billion valuation. Annualized revenue hit $19 billion by March 2026 — up from $9 billion at the end of 2025 and $1 billion in December 2024. Eight of the Fortune 10 are customers. Claude Code alone generates $2.5 billion in annualized revenue. The company holds 54% market share in the AI programming tool segment.

Now consider the timing of the Mythos rollout against the IPO calendar.

A company preparing to go public needs a narrative. Not just revenue growth (which Anthropic has in abundance) and not just technology leadership (which Mythos demonstrates beyond argument). It needs a story — one that positions it as uniquely important, uniquely responsible, and uniquely necessary.

“We built the most powerful AI model ever created, and we chose not to sell it” is an extraordinary IPO story. It communicates capability, restraint, and a kind of moral authority that public markets — still traumatized by the last generation of “move fast and break things” tech companies — are hungry for.

“The U.S. government held emergency meetings because of our technology” is an even better one.

“The Pentagon tried to blacklist us because we refused to let them use our AI for mass surveillance” is the best one of all.

An IPO roadshow with those talking points, backed by $30 billion in annualized revenue and the endorsement (however unwilling) of every systemically important financial institution in America, is not just a listing. It’s a coronation.

The Uncomfortable Questions

None of this analysis changes the fact that Mythos’s capabilities are real and genuinely dangerous. The zero-days are real. The exploit chains are real. The autonomous hacking ability is real. The potential for catastrophic misuse is real.

But several things can be true simultaneously:

Anthropic may be genuinely concerned about safety AND strategically leveraging that concern for commercial advantage. These are not mutually exclusive. In fact, the most effective version of this strategy requires genuine concern — you can’t fake a 244-page system card.

The emergency meeting may be genuinely warranted AND simultaneously serve as the most effective marketing event in Anthropic’s history. The bank CEOs needed to be briefed. That briefing also happens to validate Anthropic’s importance at exactly the right moment.

The “accidents” may be genuine accidents AND still benefit the company. A CMS misconfiguration and an npm packaging error are both plausible. They also both leaked information that generated enormous hype for products Anthropic was about to announce.

The safety narrative may be sincere AND still function as a barrier to competition. When only 40 vetted organizations have access to the most powerful cyber tool in existence, the companies inside the circle have an advantage that compounds over time. The safety argument for restricted access is real. The competitive moat it creates is also real.

OpenAI is reportedly preparing a similar model (internally called “Spud”) through its own restricted access program. The industry is converging on a model where the most dangerous capabilities are funneled through exclusive partnerships with incumbents. Whether this is responsible stewardship or oligopoly formation depends on your priors.

What This Means for Everyone Else

If you’re a CISO at a Fortune 500 company, the Glasswing announcement means the threat model just changed. AI-powered vulnerability discovery at this scale means that every unpatched system, every legacy codebase, every piece of technical debt is now a significantly larger liability. The window between vulnerability discovery and exploitation is collapsing toward zero. We’ve already seen what happens when Claude falls into the wrong hands — from Chinese state-sponsored groups weaponizing it for autonomous cyber espionage to a lone hacker using it to breach nine Mexican government agencies. Mythos makes those incidents look like science fair projects.

If you’re running an MSP or managing security for mid-market organizations, the calculus is worse. The companies inside the Glasswing circle will get their codebases scanned and hardened by the most capable security tool ever built. Everyone else will face the same threat landscape without the same defensive capabilities. The asymmetry is structural and it will grow.

If you’re a security researcher, the game just changed permanently. A model that can find zero-days in its sleep, chain exploits autonomously, and do in overnight what would take a human team weeks or months — that doesn’t just augment human researchers. It obsoletes a significant portion of what they do.

If you’re an investor, the Mythos announcement is a signal that AI capabilities are reaching a threshold where they create genuine systemic risk. The emergency bank meeting wasn’t theater. The financial system’s attack surface is real, the AI-enabled threat is real, and the companies that can both create and defend against this threat will capture an extraordinary share of security spending.

And if you’re just a person who uses the internet, banks online, goes to the hospital, or depends on the electrical grid — well. The world just got a little more interesting.

The Bottom Line

Anthropic has executed what may be the most masterful strategic positioning in modern technology history. They built a model that terrifies governments. They leaked just enough information to dominate the news cycle. They structured its release to create dependency among the world’s most powerful institutions. They positioned their legal battles with the Pentagon as proof of their moral authority. And they timed the entire sequence to the six months before a $60 billion+ IPO.

Whether this is responsible AI development or the most elaborate product launch ever orchestrated — or both — the results speak for themselves. The emergency meeting is the marketing. The restricted access is the moat. The safety narrative is the brand.

Sell the disease. Then sell the cure.

And if you’re the company that can do both, the market will value you at half a trillion dollars.

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