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Home/AI/Why Anthropic’s “Mythos” is Actually Terrifying (And Why You Shouldn’t Blame Them for Keeping it Locked Up)
AI

Why Anthropic’s “Mythos” is Actually Terrifying (And Why You Shouldn’t Blame Them for Keeping it Locked Up)

By Vinod kumar Rodda
April 17, 2026 3 Min Read
0

I recently read the new and post related to the new model of Anthropic’s called Mythos, While some people in the community are claiming they’re just exaggerating to hike up their valuation or marketing, if you actually read the official notes and understand how an agentic model like this works, the reality is pretty dangerous.

Mythos isn’t just a chatbot. It’s a tool-using model, it means it can use tools. If you give it access to a system, it can find vulnerabilities, identify bugs, and—most importantly—figure out how to exploit them. It’s basically a high-speed, automated cyber-attacker itself.

The thing is, if a tool like Mythos were made public tomorrow, the entire world would shift in 24 hours. It’s not an exaggeration. Think about it. We have so many open-source tools and legacy programs that are run our infrastructure. If some hacker gets access to this, they don’t even need to be a master hacker; they just need to set up a sandbox, drop a piece of software/tools in there, and tell Mythos: “Find the backdoor, bugs, and etc”, and it will find it for the user.

There’s a huge danger here for companies. Imagine like 200 companies are using the same software. If a hacker uses Mythos to find a zero-day exploit in that software before the company itself has used Mythos to secure it, everything is already compromised.

I’ve seen people complaining and blaming Anthropic, asking, “Why aren’t you releasing this to the public?” But we have to think like adults and intellectual here. If they give you the tool and you use it to cause chaos, who is responsible? The company that built it will be the one held accountable for the tool they created.

Look at what happened with certain CPU architecture tool CPU-Z, tool designed to check memory and RAM—that were eventually exploited and turned into malware. If this can happen with a simple diagnostic tool, imagine the scale of damage with a tool like Mythos. If it hits the public too early, every program we rely on could be hit by hackers within days.

Before mythos goes public, we need to create an environment where we use these models to find and fix the vulnerabilities first. We must patch the holes before we give everyone the keys to use it. let’s imagine like this, if a bank is using a tool and a hacker uses a tool like mythos to find a bug that lets them create fake users or drain accounts, we’re talking about billions in losses and people losing their jobs.

At the end of the day, AI is useful, but we can’t be idiots about it. There are people who think, “Oh, a $10,000 subscription is fine because it saves me $100,000,” without realizing the massive security risk they’re opening themselves.

Anthropic might be marketing it, sure, but the report shows it found vulnerabilities that humans missed. It’s real, it’s dangerous, and for now, it’s probably better off behind a wall until we’re ready for it.

Links to resources:

245 pages pdf about Claud Mythos Preview

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