AI・テクノロジー
Why the Most Powerful AI Was Taken Out of Public Reach
機械翻訳 / Machine-translated
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機械翻訳 / Machine-translated
On April 8, 2026, AI company Anthropic announced a model called Claude Mythos — a powerful AI specialized in cybersecurity, capable of uncovering vulnerabilities in OpenBSD that had gone unnoticed for 27 years.
And yet, this model will not be released to the general public.
The reason is straightforward: it's too powerful. The risk of misuse is too high. Access is limited to a handful of major U.S. tech companies. The project name is Glasswing. True to its name — "transparent wings" — it is designed as a shield used only by defenders: finding vulnerabilities in places no one can see.
One week after the announcement, OpenAI made a limited release of GPT-5.4-Cyber, making no effort to hide its rivalry with Anthropic. In a memo to shareholders, the company explicitly stated that "Anthropic is operating on a smaller curve than us," and claimed that its partnership with AWS was generating "extraordinary demand."
As of April 2026, Anthropic's annual recurring revenue (ARR) stands at approximately $30 billion — a dramatic surge from $9 billion at the end of 2025. Meanwhile, OpenAI has surpassed $25 billion and is reportedly preparing for a public listing in the latter half of 2026.
On the surface, the numbers paint a picture of the AI industry's top players competing over who reigns supreme.
Here, let's pause.
Neither Claude Mythos nor GPT-5.4-Cyber is available to the general public. They are for enterprises, governments, and defense contractors — tools reserved for "chosen organizations."
So what remains for individuals who once dreamed of learning security, or building a career in vulnerability assessment?
This is precisely the fork in the road that HAIIA is paying attention to.
Claude Opus 4.6 (the general-purpose model) and GPT-5.4 (the non-Cyber version) already come equipped with RAG (Retrieval-Augmented Generation) and the Computer Use API. That means, even if not quite at Mythos-level, individuals can use them for code review, checking configuration files for vulnerabilities, and self-directed learning around the OWASP Top 10.
In fact, as of April 2026, a growing number of independent developers are using Claude and GPT to automate security audits for their own side projects. Combined with GitHub Actions, you can set up a flow that runs a vulnerability scan on every pull request and sends a report to Slack — in 30 minutes.
Just because Mythos is closed off doesn't mean the door is shut for individuals.
If anything, the general-purpose models are already well-equipped as tools. The AI of 2026 has evolved from "waiting for instructions" to "autonomous execution," with agentic capabilities advancing rapidly. In other words, building your own "security diagnostic agent" is now possible with no-code or low-code approaches.
Here are some steps you can try today:
While Anthropic and OpenAI race to claim the title of "most powerful," individuals face a different contest: drawing the maximum out of what's available within constraints.
Because Mythos was restricted, the evolution of general-purpose models hasn't slowed down. While enterprises use AI for defense, individuals use it for learning — not to imitate attackers, but to develop the mindset of a defender.
On April 15, 2026, if you've ever thought "I wanted to become a security engineer," today is the day to start again. You can't use Mythos. But you can use Claude Opus 4.6. You can use GPT-5.4.
On the day the most powerful AI went private, your dream starts moving again.
Developments in the AI industry may seem aimed at enterprises, but they connect directly to individual endeavors as well. With each new model and tool that emerges, the range of "what one person can do" continues to expand. Through its certification program, HAIIA offers a structured way to learn how to make the most of the latest tools.
Yes. Sign up for a free conversational AI service and type in one thing you've always wanted to do. Whether it's brainstorming ideas, drafting text, or organizing research — you should feel real results within 30 minutes. HAIIA's three pillars can also serve as a hint for taking that first step.
This article is reprinted from HAIIA Notes.