Recent reports around Anthropic’s Claude Mythos Preview have made the market quite loud.

Headlines are describing it as a model capable of discovering vulnerabilities across major operating systems and browsers, while central banks, regulators, and security institutions begin to think more seriously about AI-driven cyber risk.

As someone who has spent many years in security, I find myself looking at this from a slightly different angle.

The vulnerability discovery capability Mythos is showing is impressive, but I don’t think this should be understood as something uniquely magical to one model. Similar directions are already emerging across other advanced LLMs. The reason we have not seen these results more visibly until now may not be only a matter of raw capability, but also a matter of attention, instruction, and where the industry chooses to focus.

The real issue is not simply the performance of the technology itself.

It is the way this capability is framed, controlled, and commercialized. When a model is branded as “the most dangerous cyberattack tool” and then placed behind a closed consortium, the risk is that fear becomes a marketing instrument.

The threat we face from AI is not only about intelligence surpassing humans. More often, it is about the mindset and incentives of the people who control, package, and monetize that intelligence.

This is where Web3 has a very clear alternative question to ask:

How do we prevent access, transparency, and trust from being monopolized by a small number of powerful institutions?

The ecosystem we are building through Alt.town is also one answer to that question.

A structure where value and authority are not concentrated at the center, but can be verified, owned, and circulated more transparently by communities and participants.

Technology should not become a closed marketing weapon for the few.
It should become infrastructure that many can trust.

That, to me, is the kind of innovation we actually need. $TOWN