ux

Chào bạn👋
Hãy chuẩn bị, vì
đã có một chuyến đi hoang dã trong tháng 5 năm 2025.

🤿 Hãy cùng khám phá những diễn biến mới nhất
$BNB gần đây đã làm theo cách riêng của mình💪
📊 Nó đã tăng vọt lên mức $793 vào tháng 12 năm 2024, sau đó có chút dao động. Nhanh tới ngày 22 tháng 5 năm 2025, nó đang ổn định quanh mức $676, tăng trưởng +13,22% trong tháng này

⚠️ Nhưng hãy chú ý - một số dự đoán cho rằng nó có thể giảm xuống dưới $600 vào cuối tháng. Vì vậy, hãy giữ chặt các lệnh stop-loss
BNBChain đang nâng cao đáng kể với Maxwell Hard Fork, vừa được triển khai trên testnet vào ngày 26 tháng 5 🔧

@WalletConnect
𝐇𝐨𝐚𝐭 𝐝𝐨𝐧𝐠 𝐧𝐡𝐨̛𝐧 𝐨̛𝐧𝐠 & 𝐎𝐧𝐡𝐨́𝐢:
1. Smart Sessions: Cách mạng UX đã đến
WalletConnect giới thiệu Smart Sessions, loại bỏ các pop-up ví lặp đi lặp lại bằng cách cho phép người dùng kết nối một lần và giữ kết nối - trên nhiều ứng dụng, thiết bị, và thậm chí cả các đại lý AI. Cải tiến thông minh này được cung cấp bởi các khóa phiên ERC-7579, mở khóa các tương tác tự động mượt mà trên chuỗi.
2. Hành động trên chuỗi được hỗ trợ bởi AI
Smart Sessions cho phép các đại lý AI hoạt động an toàn thay mặt cho người dùng - tự động hóa quản lý danh mục đầu tư, giao dịch trong trò chơi, đăng ký, và nhiều hơn nữa. Khi những đại lý này giao dịch, WalletConnect dự đoán một sự gia tăng nhu cầu đối với $WCT , biến nó thành một token tiện ích chủ chốt.

Từ bên ngoài, thế giới của Web3 trông giống như một thành phố rực rỡ của tương lai. Đường chân trời của nó bị xuyên thủng bởi những cấu trúc không thể tưởng tượng: các ngân hàng hoạt động mà không cần ngân hàng, các phòng trưng bày nghệ thuật sống và hít thở, và các tập đoàn thuộc sở hữu và được quản lý bởi người dùng của họ. Đó là một đô thị được xây dựng trên lời hứa về một thực tại vô hạn mới.
Chỉ có một vấn đề. Đối với phần lớn mọi người, không có con đường nào vào thành phố này.
Để vượt qua cổng, bạn phải tự lắp ráp phương tiện của riêng mình từ đầu (thiết lập ví), tạo ra một chìa khóa không thể giả mạo nhưng dễ bị mất một cách đáng sợ (câu nói hạt giống của bạn), và điều hướng trong một khu hoang dã thù địch với những địa chỉ bí ẩn, phí gas dao động, và các phê duyệt hợp đồng mập mờ.

Why it was built and what problem it actually solves
When I first started reading about $KITE , what struck me wasn't just a new token ticker or another Layer 1 pitch, it was this quietly practical realization that we’re moving into a world where machines will need to pay and be paid in ways that feel as normal and accountable as human payments, and if that happens without clear design we risk creating a tangle of fragile keys, opaque responsibilities, and brittle trust, so Kite was built to give agents true economic citizenship — to let models, datasets, and autonomous services be first-class participants in transactions while still anchoring every action to a human intention and an auditable trail, and that dual aim of autonomy plus verifiability is what solves the real problem I’m seeing in the wild where teams either give their agents too little freedom (and kill the value of automation) or give them too much (and open themselves to catastrophic loss), a problem Kite tries to solve by explicitly separating who owns authority from who executes behavior and by creating tooling so the costs, incentives, and governance rules that guide an agent's behavior live on-chain where they can be inspected, reasoned about, and updated over time, which is precisely why the project frames itself as a Layer 1 purpose-built for agentic payments rather than a mere payments overlay.
How the system works from the foundation up — the identity imperative and the flow of money
I like to imagine the system as three concentric circles of responsibility, because that’s how Kite explains it too: at the center you have user identity, the root authority that ultimately controls permissions and reputation; orbiting that you have agent identity, deterministic addresses and wallets that belong to specific models or services and can hold funds and metadata on their own; and then the outermost, ephemeral layer is session identity, the short-lived keys and contexts agents use when they interact with other agents or services so that a single compromised session can’t quietly drain an entire estate, and that layered structure is more than theory — it directly changes how a payment moves through the system because a session can be authorized to spend a bounded amount of funds for a bounded time on behalf of an agent, while the agent’s on-chain wallet carries longer-term balances, earned fees, and reputational state, and the user retains the ultimate ability to rotate or revoke agent permissions without needing to re-key everything, which means you get the speed and autonomy of machine-to-machine microtransactions but still retain human-governed safety and auditability.
Technical choices that truly matter and how they shape the system in practice
There are a few technical choices here that are tiny in description but massive in effect, and the first is the decision to be #EVM -compatible and a native Layer 1, because that gives $KITE immediate developer ergonomics and composability with the existing toolchain we’re already using while allowing protocol-level primitives to be introduced without shoehorning them into another chain’s constraints, and the second choice is designing for real-time, high-frequency micro-payments and settlements so that agents can do things like pay per inference, split revenue across datasets, or settle a chain of microservices instantly without human intervention, and that combination — EVM compatibility plus low-latency settlement and a built-in identity model — is what makes the system practical rather than academic, because you can port familiar smart contracts and developer practices while gaining primitives that directly solve agentic use cases, and those design choices then cascade into decisions about node economics, transaction batching, and fee models so that the token economics can support micropayments and reputation without making every tiny call uneconomical.
The token, its phased utility, and what it will mean when those phases land
$KITE as a native token is described as the economic glue that starts out powering ecosystem participation and incentives and then later picks up staking, governance, and fee-related functions, and that staged rollout makes sense to me because you don’t want the whole governance and fee machinery turned on before there’s a live economy to govern and a predictable revenue base to fund rewards, so in practice what that means is you’ll see initial distributions and incentive programs to bootstrap agent builders and dataset owners, then once activity and meaningful settlement volume exist the token will begin to absorb additional utility through staking to secure the network and governance to let participants set policy about access, sector rules, and composability, and watching that staged transition is important because it changes how value accrues and how risks are aligned between users, agents, and validators — if the network grows slowly the token’s governance role may remain marginal for a long time, but if adoption accelerates those functions become central quickly and the economic dynamics shift from speculative interest to usage-driven value.
What important metrics people should watch and what those numbers actually mean in real practice
When you’re not just reading charts but trying to understand whether a system like this is actually doing the job it set out to do, the numbers that matter aren’t just price and market cap — I’ve noticed that activity metrics reveal the health of the agentic economy more clearly: look at transaction throughput measured as successful micropayments per second, average session lifespan and session revocation rates which tell you how often keys are being rotated or misused, the ratio of agent wallets to human-root wallets which indicates whether agents are truly first-class economic actors, on-chain settlement latency which shows whether the network can realistically support high-frequency agent interactions, and protocol revenue-to-incentive ratios which reveal whether the system’s token rewards are sustainable or simply burning cash to buy engagement, and when you translate those numbers into practical terms a high micropayment throughput with low revocation rates suggests the primitives are mature and trusted, whereas expensive or slow settlements, high revocations, or skewed incentive ratios warn that the system may be fragile or misaligned in ways that will bite when real money and liability show up.
Real structural risks and weaknesses without exaggeration
I want to be honest about the risks because that’s where the design tests itself, and one clear structural weakness is attack surface complexity: adding agent and session layers increases usability but also expands points of failure, so the system must make authority delegation intuitive and automatable without introducing blind spots where a compromised session could be replayed across services, and second, the economics of micropayments are unforgiving — fees, spam, and state bloat can turn microtransactions from a feature into a cost sink unless you design strong spam resistance and effective routing, and third, network effects matter more than pure tech — even the nicest primitives are useless without a thriving marketplace of agents, datasets, and integrations, so adoption risk is real and not to be waved away, and finally, governance lags and social coordination are real threats: when agents manage spending and rights, disputes and legal ambiguity will happen, and the protocol needs legal and social mechanisms to resolve them or else trust will erode, so these are not hypothetical; they’re engineerable and manageable risks but they require honest work, clear #UX , and policy design rather than optimism alone.
How the future might unfold: slow-growth and fast-adoption scenarios
If it becomes a slow grower we’re seeing a pragmatic, utility-first path where Kite’s layered identity and payment primitives get adopted piecemeal by enterprises and data marketplaces that need agent accounting, where activity grows steadily and token utility phases in slowly so staking and governance remain specialized functions for years and the calendar reads like a steady ecosystem building story, and in that scenario the network’s wins are deep integrations in specific verticals — automated supply-chain agents, metered #AI marketplaces, or autonomous IoT billing — but broad consumer awareness lags; alternatively, in a fast-adoption outcome you see a cascade: developer tools make it trivial to spin up agent wallets, marketplaces for agent services appear quickly, microtransactions become routine for AI-in-the-loop apps, #KITEs staking and governance kick in early to help coordinate cross-sector policy, and network effects accelerate as agents reference and pay each other for capabilities in ways that compound value, and while the latter is exciting it also amplifies risks and forces faster maturity in dispute resolution, fee models, and privacy-preserving identity practices, so the difference between the two paths is not purely technological but social and economic — adoption pace reshapes which features become urgent and which risks become existential.
A human-centered lens: what developers, product people, and everyday users should care about
I’m always drawn back to the human side of this work because technology like Kite only matters when people feel comfortable using it, and that comfort comes from clear mental models — explainable delegation, simple revocation #UIs , transparent fee expectations, and reputational signals that a non-technical user can read and act on, and for developers the imperative is to build affordances that let agents behave safely by default so a research team can grant a model a constrained budget and predictable expiry without needing a lawyer every time, while product folks should care about flows that make session creation, billing, and refunding sensible and human-friendly, because we’re not just building rails for machines, we’re shaping how people will let machines act on their behalf and that requires trust-preserving interfaces as much as sound cryptography.
A soft, calm, reflective closing note
I’ve noticed that the most sustainable technology stories are rarely the loudest from day one; they’re the ones where the primitives map cleanly to human problems and where the early adopters quietly build useful things that others copy, and whether Kite becomes a slow, practical backbone for specific industries or a fast-moving platform that redefines how agents transact, the real test will be whether the system makes delegation safer, payments clearer, and accountability real in everyday workflows, and if the engineers, product teams, and communities that gather around it treat the identity and economic design as ongoing work rather than a checklist, We’re seeing the first outlines of an infrastructure that could let humans confidently let machines act for us while keeping the levers of control where they belong, and that possibility — modest, human, and consequential — is worth paying attention to as we build the next chapter of what it means to have machines as economic partners.