The Veil of Mythos Becomes Anthropic's Lever to Move Trillions

marsbitОпубликовано 2026-05-24Обновлено 2026-05-24

Введение

The article discusses Anthropic's reported upcoming $30 billion funding round, which would value the company at over $900 billion. It analyzes how the company has leveraged strategic narratives around its unreleased "Mythos" model, rather than just its publicly available products, to drive this massive valuation. Key points include Google's surprising $40 billion investment in a competitor, suggesting it is buying strategic positioning. Anthropic's "Glasswing" cybersecurity project and the unreleased Mythos model are portrayed not through direct proof, but through carefully crafted narratives of being "too powerful for public release," creating an aura of exclusive, high-level capability. This is bolstered by reports of the White House and NSA seeking access to Claude/Mythos despite previous security concerns, implying indispensable technology. Furthermore, Anthropic's reported rapid revenue growth—from a $1 billion annual run-rate in late 2024 to over $30 billion by April 2026, largely driven by enterprise API and Claude Code—provides a financial story for investors. The article concludes that Anthropic's core business model is effectively converting unverifiable technical potential, government interest, and future revenue projections into a compelling narrative that secures immense capital, using the actions of wealthy investors and powerful institutions as the ultimate validation of its worth.

Text by: AI

Foreign media reports indicate that Anthropic is expected to complete a new round of financing totaling approximately $300 billion as early as next week, with a valuation exceeding $9 trillion.

As recently as February, Anthropic's valuation stood at $3.8 trillion. In just three months, it has nearly tripled.

What's most interesting, however, is that Google has also participated in this funding round.

Google had previously committed in April to invest up to $40 billion in Anthropic. An initial $10 billion in cash was injected at a transaction valuation of about $3.5 trillion at the time, with up to $30 billion in subsequent investments tied to Anthropic's performance.

Google has Gemini, and just recently announced Gemini 3.5 at its I/O conference.

Wouldn't that $40 billion be better spent on R&D for their own products? Especially when it's being invested in a competitor.

Therefore, I believe Google may not necessarily want to buy Anthropic's models; what they might want to buy is a position.

It's not uncommon for competitors to invest in each other; Intel has invested in AMD, Microsoft in Apple, and Sony in Epic Games.

Large companies frequently invest in promising startups, reaping financial returns while staying in touch with new technologies.

But the scale and persistence of Google's investment in Anthropic seems a bit "excessive."

After all, it's $40 billion! Enough for Google to build another AI team from scratch.

So, what exactly has Anthropic done to captivate Google to such an extent? Besides Opus 4.7 and some minor product updates, the buzz around Anthropic centers solely on Mythos.

This is a model described by Anthropic as being so powerful that it absolutely must not be made available to ordinary consumers. Corresponding to Mythos is the Glasswing cybersecurity collaboration program.

It's akin to saying I've written a groundbreaking article, but I won't publish it because I fear everyone who reads it will become utterly obsessed and unable to extricate themselves.

The idea itself is absurd. Yet, Anthropic, through various overt and covert channels, has given tangible form to the power of Mythos in everyone's mind. Even if you haven't seen it, you can sketch its contours clearly through news and snippets of information.

That's why I think Anthropic's model products are not the core of this company. Its truly admirable aspect is its ability to tell a story.

It can transform something you can't see or touch into real gold and silver.

Latest Progress on Glasswing

We must first acknowledge a fact: the market accepts hype.

On May 23, Anthropic published an article titled "First Update on Project Glasswing," discussing the latest progress of Glasswing.

The article stated that Mythos Preview had scanned over 1,000 open-source projects, discovering 6,202 high or critical severity vulnerabilities. After evaluation by independent security research firms, 90.6% were confirmed as true positives, with 62.4% classified as high or critical severity.

It wasn't until I read that article twice that I realized it was essentially a "watered-down" piece.

The most subtle aspect of these numbers is the lack of a frame of reference.

Anthropic didn't specify the scale of those 1,000+ projects, nor did it disclose the total lines of code scanned, the time taken, or the improvement compared to traditional security tools.

Out of those 6,202 candidate vulnerabilities, only 1,752 were actually evaluated.

This fact itself is very un-Anthropic. Previous Anthropic articles were often reproducible. For instance, their use of Qianwen to simulate whether humans could control AI if it surpasses human intelligence.

Anthropic used Qianwen instead of their own Claude so that after reading, you could go back and replicate the experiment yourself.

But the Glasswing article didn't offer that. You can't reproduce it, nor can you verify it.

More crucially, Anthropic packaged the "decision not to publicly release" as an embodiment of responsibility. They fear misuse, hence the non-release. It's only released to specific users, and they use feedback from these users to indirectly validate the model.

Anthropic used such a marketing narrative to transform an "unreleased" product into proof of high enterprise technical prowess.

This granted it a special kind of immunity. It doesn't need to prove it's stronger than all competitors; it only needs to prove it's "so strong it can't be released casually."

Anthropic also mentioned in the update that industry practice is to publicly disclose vulnerabilities 90 days after discovery or 45 days after a patch is released. This means details of the vulnerabilities discovered by Mythos Preview cannot be fully disclosed yet, as it would expose end-users to risk.

This is a layer of protection.

It's similar to the Windows vulnerability mechanism. Research teams discovering Windows vulnerabilities send them to a specific email address. Only after Windows releases an update/patch to fix the vulnerability do these teams publicly disclose the details.

Anthropic's statement is logically impeccable. But it's not Microsoft, Claude isn't Windows; it's just a model. If I can't use Claude, I can use ChatGPT. If your computer can't use Windows, it's a brick (I'm exaggerating a bit; you could use Linux, etc., if you know how).

This is the most impressive aspect of Mythos. It's not just potentially powerful; it's designed within a product narrative where "the less public it is, the stronger it appears."

Anthropic seized on this characteristic. It doesn't need everyone to use Mythos; it only needs the market to believe Mythos represents a certain superior capability. And this capability, precisely because it cannot be widely verified, appears even more mysterious and powerful.

This is what Anthropic is doing.

It's using a very clever way to transform "unverifiable capability" into "imaginable value."

And this value ultimately manifests in valuation, fundraising, and the overall judgment of the market and society towards Anthropic.

The White House Re-enables Claude

If only Anthropic itself claimed Mythos was powerful, that would just be corporate marketing.

But if the US government, while viewing Anthropic as a supply chain risk, is also reportedly close to allowing intelligence agencies like the NSA to use its advanced models, the story is completely different.

In February, former President Trump indicated the US government would blacklist Anthropic, and the Pentagon labeled Anthropic a supply chain risk.

The most intriguing aspect at the time was that the White House wasn't saying Claude was unusable. On the contrary, the conflict stemmed precisely from "wanting to use it too much."

Foreign media reported that the Pentagon wanted to use Claude more freely in military and national security contexts, but Anthropic insisted on not relaxing restrictions on two types of uses: large-scale domestic surveillance within the US, and fully autonomous weapons.

The situation indeed seemed like the left brain attacking the right brain. The White House, on one hand, believed Anthropic's restrictions made it a supply chain risk, while on the other hand, acknowledged the technology in Anthropic's hands was sufficiently important.

But just after the publication of the first Glasswing update article, foreign media suddenly reported that the White House had reached a cooperation agreement with Anthropic, allowing specific agencies to use Claude, most likely Mythos.

If even the White House is willing to contradict its own ban and re-enable Claude, it shows this thing is genuinely powerful.

This contradiction itself endorses Anthropic.

While the news didn't state it directly, it conveyed a signal: Anthropic's technology has unique value.

Because after the White House banned Claude, OpenAI struck a deal, becoming the White House's AI supplier. Now, the White House's actions essentially tell you, "Anthropic is irreplaceable."

Anthropic doesn't need to prove to the public how powerful Mythos is; it only needs the market to know that Mythos is now a White House's Choice selection.

Procurement by government agencies, especially national security-related ones, signifies your technology has passed the highest standard of scrutiny.

Making it onto the procurement list means your company has met US government requirements in terms of supply chain security, technological reliability, and long-term support capabilities.

More importantly, government procurement often comes with long-term contracts and stable revenue.

This is crucial for investors, especially with Anthropic approaching an IPO.

Having such a major order demonstrates Anthropic doesn't just have technology; it has the ability to convert that technology into stable commercial revenue, and the most reliable customer.

What's even more interesting is that Anthropic didn't adopt a submissive, apologetic stance.

After being named by the Pentagon, it publicly emphasized it wasn't refusing to serve US defense, but couldn't abandon two red lines: large-scale domestic surveillance and fully autonomous weapons.

Amodei later stated in a company announcement that while the tone of internal statements could apologize, these principles would not change.

In other words, Anthropic packaged a procurement conflict first as "I have principles," and then, through subsequent news about the White House and NSA, turned it into "The US government still needs me in the end." This has more communicative value than simply securing the US government contract.

Yet, Anthropic hasn't mentioned a word about this cooperation.

If they loudly promoted "We're cooperating with the NSA," the market might suspect it's a marketing tactic. But this complete silence, on the contrary, makes the market even more convinced of Mythos's power, because it has compelled the US government to use it, even if it means backtracking.

Even if the final cooperation with the White House and NSA doesn't fully materialize, even if the specific content of the agreement differs from external perceptions, this narrative itself has already produced an effect.

It has already made the market believe Anthropic is a company capable of cooperating with national security agencies, a company whose technical capabilities meet White House standards.

Anthropic's greatest strength isn't convincing consumers; it's convincing the hardest-to-convince procurement party.

The decision-making process within the national security system is extremely complex, involving multiple stages like technical assessment, security review, policy considerations, and budget approval.

Being able to navigate these stages itself demonstrates a company's comprehensive strength.

All for Fundraising and Going Public

Technical narratives can be hyped, security narratives can be told, and US government cooperation may exist in various grey areas.

But fundraising is the most fundamental; capital ultimately converts stories into money.

Previously, when evaluating a company, investors looked at its revenue growth, profit margins, market share, and technical barriers.

But in the AI industry, these traditional metrics are often insufficient. Because even today, no one can clearly see an AI company's potential.

Foreign media reported that Anthropic told investors its annualized revenue would exceed $50 billion next month.

Anthropic's earliest commercial revenue growth wasn't primarily from regular Claude subscriptions, but mainly from enterprise APIs, cloud platform distribution, and code generation demand.

Foreign media reported in May 2025 that Anthropic's annualized revenue grew from nearly $1 billion in December 2024 to over $2 billion by the end of March 2025, reaching about $3 billion by the end of May, driven mainly by enterprise demand and code generation scenarios.

In the second half of 2025, Claude Code began to become an independent growth engine. Foreign media reported that Claude Code had an annualized revenue of about $400 million in July 2025, later approaching $1 billion.

Anthropic later confirmed in its official announcement of acquiring Bun that Claude Code reached a $1 billion run-rate revenue within six months of public release.

By February 2026, Anthropic officially disclosed the company's overall run-rate revenue reached $14 billion, with Claude Code alone exceeding $2.5 billion. In other words, Claude Code transformed from a developer's tool into a multi-billion-dollar product.

In April 2026, Anthropic, in its announcement of compute partnerships with Google and Broadcom, stated the company's overall run-rate revenue had exceeded $30 billion, continuing a sharp rise from about $9 billion at the end of 2025.

Simultaneously, the number of enterprise customers spending over $1 million annually increased from over 500 in February to over 1,000.

Investors are evidently willing to believe these numbers. Because various facts support Anthropic's story.

Google's continued investment further enriches Anthropic's narrative.

If an ordinary VC invested in Anthropic, the market might see it as normal venture capital behavior. But if an AI giant like Google invests in Anthropic, it indicates Anthropic truly has something exceptional.

Google isn't short on money, technology, or talent. Its investment in Anthropic isn't because Anthropic can fill its gaps, but because it judges Anthropic might become a key player in the AI field and doesn't want to miss the opportunity to get on board.

This judgment itself becomes an endorsement for Anthropic.

Investors often refer to other investors' choices when making decisions. This isn't called following the crowd; it's called "a rational way of gathering information."

Each investor has their own information channels and judgment capabilities. When multiple leading investors make the same choice, the probability of that choice being correct increases.

Google's investment is such a strong signal. It tells other investors Anthropic is worth investing in, and worth investing in heavily.

Thus, other investors begin to follow suit. Sovereign wealth funds, top VCs, large tech companies all express interest in Anthropic. This collective action further pushes Anthropic's valuation higher.

The rising valuation, in turn, reinforces Anthropic's narrative.

When a company's valuation reaches $9 trillion, the market naturally assumes this company must have exceptionally strong capabilities and vast prospects. Otherwise, how could it be worth so much?

Money plays the most critical role in the story.

You might not understand the technology, you might not understand the White House situation, but can you not understand dollars?

What Anthropic is securing now is precisely this kind of gold-and-silver endorsement.

This is the pricing function of capital. It ultimately converts all narratives, all imaginations, all expectations into a concrete number.

Of course, this consensus isn't necessarily correct. Figures including Sam Altman and Jensen Huang have acknowledged there are bubbles within AI.

A high valuation doesn't guarantee a company's success; massive fundraising doesn't guarantee technological leadership.

Historically, many highly-valued companies ended in failure.

But at this moment, Anthropic has indeed accomplished something remarkable. It packaged a capability unverifiable by ordinary users, a cooperation not officially announced by the government, and a revenue expectation that might be realized in the future, into a complete story. Then, using this story, it secured money from the market.

This is Anthropic's business model.

The brilliance of this mechanism lies in the fact that Anthropic doesn't need everyone to see Mythos firsthand. It only needs the wealthiest, most powerful, and most risk-savvy individuals to act as if they've already seen it.

And the actions of these individuals become the best proof for Mythos, more convincing than performance benchmarks or scores.

Связанные с этим вопросы

QWhat is the primary argument the article makes about Anthropic's core business strength?

AThe article argues that Anthropic's true strength lies not in its AI models themselves, but in its exceptional ability to craft and sell a compelling narrative. It turns the 'unreleased' and 'unverifiable' nature of its Mythos model into perceived value, convincing key stakeholders (like investors and the U.S. government) of its power, thereby driving massive fundraising and valuation.

QHow does the article describe the 'Glasswing' project and its role in Anthropic's strategy?

AThe article describes the Glasswing project as a cybersecurity initiative where the Mythos Preview model scans code for vulnerabilities. It's portrayed as a key part of Anthropic's strategy: by selectively releasing impressive but unverifiable metrics (like finding 6202 high-severity vulnerabilities) and framing non-release as a safety responsibility, Anthropic builds a narrative that Mythos is 'too powerful for public use,' enhancing its mystique and perceived value.

QWhat point does the article make about the U.S. government's reported dealings with Anthropic and its significance?

AThe article highlights the contradiction where the U.S. government initially labeled Anthropic a supply chain risk but later reportedly sought to use its models (likely Mythos) for intelligence work. This reversal is presented as powerful validation. It signals that Anthropic's technology is considered uniquely valuable and indispensable, even by the most stringent evaluators, which strengthens its market narrative more effectively than self-promotion.

QWhy does the article find Google's massive investment in Anthropic particularly noteworthy?

AThe article finds Google's ~$40 billion investment noteworthy because Google is a direct competitor with its own AI (Gemini). Such a huge investment suggests Google isn't just seeking financial returns or technology access, but is essentially 'buying a seat' to ensure it doesn't miss out on a potentially dominant AI player. This act serves as a powerful signal to other investors, validating Anthropic's story and fueling its funding and valuation surge.

QWhat is the 'mechanism' the article claims is the true brilliance of Anthropic's approach, according to the conclusion?

AThe concluding mechanism is that Anthropic doesn't need to prove Mythos's capability to the public. Instead, it successfully convinces the most powerful entities—those with the most money (investors like Google), the most authority (the U.S. government), and the best risk assessment skills (VCs)—to act *as if* they have seen and believe in Mythos's superiority. Their actions (investment, seeking partnerships) then become the most credible proof, creating a self-reinforcing cycle that translates narrative into financial valuation.

Похожее

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbit2 ч. назад

Google CEO Admits Lagging Behind in Coding

marsbit2 ч. назад

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit4 ч. назад

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit4 ч. назад

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

"a16z: 7 Charts on How Tokenization is Changing the Nature of Assets" Tokenized Assets (or Real-World Assets - RWA) are transforming asset forms, liquidity, and financial system construction. The market recently surpassed $30 billion, stabilizing around $34 billion (excluding stablecoins), representing a tenfold increase in less than two years, driven by clearer regulations, mature institutional infrastructure, and increased financial institution adoption. The primary driver of recent growth is tokenized U.S. Treasury bonds. These offer investors efficient, flexible digital access to yield-bearing assets and improve institutional operations like settlement and collateral management. Other asset classes show varied growth: asset-backed credit leads, followed by niche financial assets (e.g., reinsurance, mining notes), while venture capital took longer to scale. Market segmentation shows high concentration. In commodities, tokenized gold dominates (~$5 billion), as its standardized, storable nature fits tokenization well. Bonds are the largest category ($15.2B), but only ~5% are used in DeFi protocols. Conversely, smaller niches like reinsurance tokens see high (~84%) on-chain utilization, highlighting a core industry divide: most current tokenized assets are merely digitized records for easier holding/transfer, lacking the "composability" (free combination/interaction) that is key to blockchain-native finance. The ecosystem is distributed across multiple blockchains, with Ethereum hosting over half the value ($15.7B), followed by BNB Chain, Solana, and others. Future market size predictions vary widely (e.g., $2-$30 trillion by 2030+), but all indicate massive potential from the current small base. Tokenized assets currently represent minuscule fractions of their global counterparts (e.g., 0.01% of global bonds). The current phase focuses on digitizing straightforward assets. The next challenge is to bring more complex financial components on-chain and deeply integrate tokenized assets into composable, internet-native financial infrastructure.

链捕手4 ч. назад

a16z: 7 Charts to Understand How Tokenization is Changing the Nature of Assets

链捕手4 ч. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

2025 год — год институциональных инвесторов, в будущем он будет доминировать в приложениях реального времени.

1.8k просмотров всегоОпубликовано 2025.12.16Обновлено 2025.12.16

Неделя обучения по популярным токенам (2): 2026 может стать годом приложений реального времени, сектор AI продолжает оставаться в тренде

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на AI (AI) представлены ниже.

活动图片