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This week, OpenAI’s GPT-5.6 and xAI’s Grok 4.5 arrived in quick succession, and the market once again began comparing them with Anthropic’s Fable 5, asking which model is ahead.
Every new release now brings major gains in performance and capability. For the moment, the debate still revolves around benchmarks and specifications, but I suspect this kind of comparison will matter less over time.
It reminds me of the early smartphone market, when people closely compared every feature of Android phones and iPhones. Today, the choice is less about raw specifications and more about which ecosystem feels familiar and fits naturally into one’s life.
AI will be similar. No single model can be the right answer for everyone. Our environments, goals, and ways of working are different.
What may matter more is how much time and experience we have built with a particular AI: how well it understands our context, and how well we understand its strengths, behavior, and limits. That accumulated relationship may ultimately shape the performance each of us actually experiences.
I call this Companion Experience: something beyond simply using a tool.
OpenAI’s GPT-Live, designed for natural real-time voice conversation, also points in this direction. AI is moving beyond text input and output toward a presence that can interact with us more naturally over time.
As technology advances, the central question may no longer be which model has the highest score.
What kind of relationship will we build with AI? And within that relationship, how do we preserve and develop what makes us human?
It is time to move beyond comparing specifications and ask what kind of life we want to build alongside this technology. $TOWN

A few days ago, the U.S. Commerce Department reportedly lifted export controls on Anthropic’s most advanced AI models.
A door that had been closed only weeks earlier in the name of national security reopened once safeguards were validated.
That short episode says a lot about the technology market today.
No matter how strong control or regulation may be, it rarely stops the direction of a major technological shift. It may delay it. It may force a detour. But if the technology keeps proving its value, it eventually finds a way forward.
Recently, the Alt.town ecosystem also faced an unexpected issue.
Nothing is fully final yet, but the timing of some activation and boost plans has been pushed back, and a few strategic cards we had been holding are now harder to play immediately.
But one thing is clear.
This does not weaken the vision we are building, or the value we see in the changing entertainment landscape. Web3 is still vulnerable to speculative trading and exhausting attacks. And sometimes, speaking honestly about the future can sound premature.
Still, I have seen how much this market has changed for the better. And I continue to believe it will keep improving.
Just as temporary control cannot stop the progress of AI, short-term market turbulence cannot shake the trust infrastructure we are building.
We will keep moving forward. As we always have, we will find other paths, other answers, and other ways to build.
Quietly, from places that may not always be visible, we will keep strengthening the foundation.
And together with those who continue to believe, we will prove a more honest future. $TOWN

The most striking thing about this World Cup is the AI gaze hovering over the pitch.
SAOT tracks 29 body points on each player 50 times per second, helping make offside decisions in milliseconds. The margin for error gets smaller. The data looks almost perfect.
But perfect data does not guarantee the right result.
Korea’s recent loss to South Africa was a painful reminder. The numbers suggested control, but the pitch showed something else: a lack of clear strategy, execution, and force. Ninety minutes made one thing clear. Even when the data looks right, the result can still be wrong.
The same paradox is now unfolding at the frontier of AI.
Anthropic has accused Alibaba-linked operators of using nearly 25,000 fake accounts and 28.8M interactions to extract capabilities from Claude. It was, in essence, an attempt to take a shortcut through someone else’s hard-won intelligence.
But data can only copy the surface.
It cannot copy the questions behind it, the failures that shaped it, or the philosophy that gives it direction. Just as possession without strategy does not win a match, data extraction without philosophy eventually reaches its limits.
In the end, what matters is essence.
Behind every number and every advanced system, there must be a clear will, a coherent philosophy, and the execution to carry it through.
That is why Alt.town is focused less on noise and more on building the depth of its ecosystem and the infrastructure of trust.
In an age where technology makes everything visible, what matters most may still be the invisible: human will, philosophy, and the discipline to build what lasts. $TOWN

Control over AI seems to have tightened another step this week.
After the U.S. government reportedly moved to restrict foreign access to Anthropic’s most advanced models, JPMorgan has now cut off access to Anthropic tools for its Hong Kong staff. What began as a national security concern appears to have reached the internal systems of global finance in less than a week.
The market is quickly absorbing a difficult truth: AI is no longer just a tool. It is becoming power, infrastructure, and in some contexts, a weapon.
The irony is that the stronger the push for control becomes, the clearer the movement outside that control also becomes.
This week, Google DeepMind warned about the security risks of increasingly autonomous AI agents and introduced a new AI Control Roadmap. In a way, this is also an admission that the age of AI agents is already here: systems that can move beyond simple responses and begin to judge, decide, and act.
The attempt to control what may become uncontrollable, and the force pushing toward autonomy outside centralized control, are growing at the same time.
That tension may be one of the defining features of this era.
And in the middle of that tension, the meaning of transparent infrastructure that is not controlled by a single authority becomes clearer.
Alt.town is also moving quietly but firmly into its next step.
The TOWN token has completed a stable transition toward active global exchanges. At the same time, several projects and companies have begun reaching out to explore how autonomous AI agents could connect with the TOWN ecosystem.
In an age of controlled AI, they seem to be asking the same question we are asking:
Where should trusted digital beings live, act, and create value?
I believe the answer will not come from control alone.
It will come from trust, transparency, and an open stage where autonomous value can be created and verified by the community. $TOWN

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