Ziru

Why do I not see @Kindred_AI as just an AI project, but more like a "relationship experiment"
I have never viewed Kindred within the traditional AI project framework. Not because it doesn't do AI, but because if you only understand it from the perspective of model capabilities and feature iterations, you might miss the point. What truly matters to me about Kindred is not "what it can do," but its attempt to establish a long-term, continuous relationship between users and AI.
This sounds abstract, but it actually involves doing something very concrete: treating "relationship" itself as the core

Why do I not see @Kindred_AI as just an AI project, but more like a "relationship experiment"
I have never viewed Kindred within the traditional AI project framework. Not because it doesn't do AI, but because if you only understand it from the perspective of model capabilities and feature iterations, you might miss the point. What truly matters to me about Kindred is not "what it can do," but its attempt to establish a long-term, continuous relationship between users and AI.
This sounds abstract, but it actually involves doing something very concrete: treating "relationship" itself as the core

Recently, Kaito Yap has indeed made some adjustments at the algorithm level, but for an account like mine that doesn't update frequently, the experience isn't very noticeable. As long as the content has clear judgment and genuine output, the algorithm hasn't completely taken away the opportunity.
Since last month, I've noticed many creators continuously producing content around @Kindred_AI Yap activities. After observing for a while, my conclusion is: this is not a "frequency competition" leaderboard, but an activity that emphasizes "understanding and expression," which is also why I decided t

Seeing @ferra_protocol complete $2M pre-seed funding, I initially didn't pay much attention.
Now, with so many DeFi funding news, numbers alone are already hard to interpret.
But what really caught my eye was the direction @ferra_protocol is taking.
It's not building the next application, but readdressing an old problem—why does liquidity always seem abundant "on paper" but feel inefficient in practice?
Many users have similar experiences:
- Funds are in the pool, yet efficiency is low;
- The pool has depth, but slippage still occurs during trades.
The issue often isn't the size of the funds

Seeing @ferra_protocol complete $2M pre-seed funding, I initially didn't pay much attention.
Now, with so many DeFi funding news, numbers alone are already hard to interpret.
But what really caught my eye was the direction @ferra_protocol is taking.
It's not building the next application, but readdressing an old problem—why does liquidity always seem abundant "on paper" but feel inefficient in practice?
Many users have similar experiences:
- Funds are in the pool, yet efficiency is low;
- The pool has depth, but slippage still occurs during trades.
The issue often isn't the size of the funds

When "privacy" begins to enter the "liquidity layer," the nature of the situation has actually changed.
In the past, privacy assets have existed but have always been outside mainstream DeFi. The issue is not demand but structure: liquidity depends on observability, while privacy inherently carries uncertainty. In the first-generation DeFi systems, which are static and assume transparency, privacy could only be excluded.
@BeldexCoin's recent changes are not about making privacy more extreme but about solving a more practical problem—how privacy assets can re-enter the mainstream funding structu

When "privacy" begins to enter the "liquidity layer," the nature of the situation has actually changed.
In the past, privacy assets have existed but have always been outside mainstream DeFi. The issue is not demand but structure: liquidity depends on observability, while privacy inherently carries uncertainty. In the first-generation DeFi systems, which are static and assume transparency, privacy could only be excluded.
@BeldexCoin's recent changes are not about making privacy more extreme but about solving a more practical problem—how privacy assets can re-enter the mainstream funding structu

If you look closely, you'll notice that @BeldexCoin's recent moves have almost completely ignored the market sentiment rhythm.
No meme riding, no AI hype, and no rush to tell new stories. It’s doing only one thing: filling in the survival capabilities that a privacy network should have.
$BDX was introduced into the Ethereum ecosystem, built pools on Uniswap, and achieved cross-chain transfer through LayerZero + Stargate. The essence of this step is not to expand channels but to tear down the invisible wall between privacy assets and mainstream funds.
When privacy coins are no longer confined

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Should I pay this tuition fee?
ps: on Xiaohongshu

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Should I pay this tuition fee?
ps: on Xiaohongshu

The biggest change in these two years is not stricter regulation, but increasingly refined regulation. It is no longer simply about allowing or prohibiting, but about structured recognition of addresses, paths, frequency, and relationship networks. In such an environment, privacy is no longer an emotional appeal but a rigid necessity.
@BeldexCoin happens to be at this intersection of change. It does not exist to oppose regulation but has chosen a more realistic path: under clear rules and well-defined boundaries, minimizing unnecessary exposure. The design of transactions, communications, and

Merry Christmas to everyone🎄
This Christmas has been very heartwarming. Thanks to @Ceee333_ for the Christmas surprise—a box of 99 strawberries from Dandong, with sweetness at its peak.
Huobi's performance this year has also been impressive. Let's work hard together in the coming year, entrust current accumulation to time, and move toward an increasingly better future.
@HuobiGlobal @qingyang007 @HTX_Molly @sunyuchentron

The most dangerous moment for privacy assets is often not when they are named by regulators or attacked by public opinion, but rather when everything is very quiet. With no controversies, no restrictions, and no obvious risks, most people will assume that the privacy issue has been resolved, or at least is not important.
But the reality is quite the opposite. Privacy-related risks are almost never sudden; they accumulate over a long period of neglect. When transaction, communication, and behavioral data are continuously recorded, and the association between on-chain addresses and real identiti

The most dangerous moment for privacy assets is often not when they are named by regulators or attacked by public opinion, but rather when everything is very quiet. With no controversies, no restrictions, and no obvious risks, most people will assume that the privacy issue has been resolved, or at least is not important.
But the reality is quite the opposite. Privacy-related risks are almost never sudden; they accumulate over a long period of neglect. When transaction, communication, and behavioral data are continuously recorded, and the association between on-chain addresses and real identiti