Beatblue

The convergence of virtual celebrities and AI is something I have been thinking about for years.
Back when I was in the entertainment industry, it felt like a distant signal. Now, the numbers are beginning to prove it.
Virtual influencers like Aitana Lopez are already generating significant monthly revenue. AI influencers that never physically attended Coachella have still secured brand deals. And many Gen Z consumers are already influenced by recommendations from virtual or AI-generated personalities.
At first, humans created and controlled virtual beings. Now the direction is starting to reverse. Real influencers are imitating the perfect aesthetics, consistency, and automated communication style of AI influencers. The line between real and fake is becoming less important.
K-pop is showing a similar shift. PLAVE’s success, entering the Billboard 200 and surpassing 1.25M first-week sales, is meaningful because it is not fully AI. There are real humans behind the avatars, breathing with fans in real time. A controlled virtual appearance combined with unpredictable human presence may become a new standard.
In the end, the key is trust. Audiences no longer care only about whether the pixels are real. They care about the story, the consistency of the world, and how their participation can become value.
We are moving from fans as consumers to fans as active builders.
A structure where virtual beings create value, and that value circulates transparently through the community. This is part of the broader picture I see in ValueFi, and one of the strongest answers Web3 can offer entertainment.
Real value for a being that does not physically exist depends on two things: community belief, and a transparent system that can support it. $TOWN

The word that stayed with me most from Google I/O 2026 was agentic.
AI is no longer being framed as a tool waiting for commands. It is moving toward the age of agents — autonomous actors that can judge, decide, and act.
Brian Armstrong of Coinbase also made an interesting prediction: that the economy created by AI agents may one day become larger than human commerce itself.
If AI agents become independent economic participants, they will need more than bank accounts. They will need programmable payment rails, transparent authorization, verifiable reputation, and clear provenance of data and actions.
This is where blockchain and Web3 become deeply relevant.
When AI’s intelligence and execution run on transparent trust infrastructure, we may finally begin to see what a true agent economy looks like. I believe I am standing somewhere near the middle of that experiment.
At the same time, I often hear people compare models.
Claude is better. ChatGPT feels stronger. Gemini seems smarter. Codex is better for coding.
There are real differences, of course. But I think our relationship with AI may be closer to building trust with a good friend. First impressions matter, but what really builds trust is time, shared context, repeated experience, and the many moments we go through together.
In the end, the difference between those who use AI well and those who do not may not come only from understanding specs or features.
It may come from how deeply they have built Companion Experience, or CX, with AI.
Not as a simple user of a tool, but as someone growing alongside a companion.
The denser technology becomes, the heavier the trust beneath it must become. $TOWN

This week was a complex one for the crypto market.
The Trump–Xi summit took place, and the CLARITY Act advanced out of the U.S. Senate Banking Committee, offering another sign that an institutional foundation for Web3 is slowly being formed. While Bitcoin moved around the $79,000 level, the market did not overheat easily even on positive headlines. Instead, it seemed to remain cautious, watching carefully for what comes next.
$TOWN also had a meaningful week within that broader wave. Earlier this week, trading volume spiked sharply, and the price surged to $0.001362, briefly touching a range where one zero disappeared from the decimal. It later pulled back, but even after the wave settled, it has continued to hold a noticeably higher range than before.
When charts move violently, it is easy to focus only on the numbers. But doing so can make us miss what matters more. Sharp moves reveal market psychology, but the level that remains after the wave has passed often shows the weight of trust that the community continues to place in a project.
The ecosystem Alt.town is building will not be completed overnight. It is a structure where virtual beings can create value on their own, and that value can circulate within the community through DNA. And as AI-powered virtual beings with something close to personhood begin to breathe inside this ecosystem, I believe the energy they create may become far greater than what we can currently imagine.
In a time when global politics are shifting and regulatory frameworks are changing, we are focused less on immediate volatility and more on the fundamentals that continue to rise, step by step, through that volatility.
The more the numbers fluctuate, the clearer the essence of what we are building becomes.

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