llm

I’ve been thinking a lot about what it means to build money and identity for machines, and Kite feels like one of those rare projects that tries to meet that question head-on by redesigning the rails rather than forcing agents to squeeze into human-first systems, and that’s why I’m writing this in one continuous breath — to try and match the feeling of an agentic flow where identity, rules, and value move together without needless friction. $KITE is, at its core, an #EVM -compatible Layer-1 purpose-built for agentic payments and real-time coordination between autonomous #AI actors, which means they kept compatibility with existing tooling in mind while inventing new primitives that matter for machines, not just people, and that design choice lets developers reuse what they know while giving agents first-class features they actually need. They built a three-layer identity model that I’ve noticed shows up again and again in their docs and whitepaper because it solves a deceptively hard problem: wallets aren’t good enough when an AI needs to act independently but under a human’s authority, so Kite separates root user identity (the human or organizational authority), agent identity (a delegatable, deterministic address that represents the autonomous actor), and session identity (an ephemeral key for specific short-lived tasks), and that separation changes everything about how you think about risk, delegation, and revocation in practice. In practical terms that means if you’re building an agent that orders groceries, that agent can have its own on-chain address and programmable spending rules tied cryptographically to the user without exposing the user’s main keys, and if something goes sideways you can yank a session key or change agent permissions without destroying the user’s broader on-chain identity — I’m telling you, it’s the kind of operational safety we take for granted in human services but haven’t had for machine actors until now. The founders didn’t stop at identity; they explain a SPACE framework in their whitepaper — stablecoin-native settlement, programmable constraints, agent-first authentication and so on — because when agents make microtransactions for #API calls, compute or data the unit economics have to make sense and the settlement layer needs predictable, sub-cent fees so tiny, high-frequency payments are actually viable, and Kite’s choice to optimize for stablecoin settlement and low latency directly addresses that.
We’re seeing several technical choices that really shape what Kite can and can’t do: EVM compatibility gives the ecosystem an enormous leg up because Solidity devs and existing libraries immediately become usable, but $KITE layers on deterministic agent address derivation (they use hierarchical derivation like #BIP -32 in their agent passport idea), ephemeral session keys, and modules for curated AI services so the chain is not just a ledger but a coordination fabric for agents and the services they call. Those are deliberate tradeoffs — take the choice to remain EVM-compatible: it means Kite inherits both the tooling benefits and some of the legacy constraints of #EVM design, so while it’s faster to build on, the team has to do more work in areas like concurrency, gas predictability, and replay safety to make micro-payments seamless for agents. If it becomes a real backbone for the agentic economy, those engineering gaps will be the day-to-day challenges for the network’s dev squads. On the consensus front they’ve aligned incentives around Proof-of-Stake, module owners, validators and delegators all participating in securing the chain and in operating the modular service layers, and $KITE — the native token — is designed to be both the fuel for payments and the coordination token for staking and governance, with staged utility that begins by enabling ecosystem participation and micropayments and later unfolds into staking, governance votes, fee functions and revenue sharing models.
Let me explain how it actually works, step by step, because the order matters: you start with a human or organization creating a root identity; from that root the system deterministically derives agent identities that are bound cryptographically to the root but operate with delegated authority, then when an agent needs to act it can spin up a session identity or key that is ephemeral and scoped to a task so the risk surface is minimized; those agents hold funds or stablecoins and make tiny payments for services — an #LLM call, a data query, or compute cycles — all settled on the Kite L1 with predictable fees and finality; service modules registered on the network expose APIs and price feeds so agents can discover and pay for capabilities directly, and protocol-level incentives return a portion of fees to validators, module owners, and stakers to align supply and demand. That sequence — root → agent → session → service call → settlement → reward distribution — is the narrative I’m seeing throughout their documentation, and it’s important because it maps how trust and money move when autonomous actors run around the internet doing useful things.
Why was this built? If you step back you see two core, very human problems: one, existing blockchains are human-centric — wallets equal identity, and that model breaks down when you let software act autonomously on your behalf; two, machine-to-machine economic activity can’t survive high friction and unpredictable settlement costs, so the world needs a low-cost, deterministic payments and identity layer for agents to coordinate and transact reliably. Kite’s architecture is a direct answer to those problems, and they designed primitives like the Agent Passport and session keys not as fancy extras but as necessities for safety and auditability when agents operate at scale. I’m sympathetic to the design because they’re solving for real use cases — autonomous purchasing, delegated finance for programs, programmatic subscriptions for services — and not just for speculative token flows, so the product choices reflect operational realities rather than headline-chasing features.
When you look at the metrics that actually matter, don’t get seduced by price alone; watch on-chain agent growth (how many agent identities are being created and how many sessions they spawn), volume of micropayments denominated in stablecoins (that’s the real measure of economic activity), token staking ratios and validator decentralization (how distributed is stake and what’s the health of the validator set), module adoption rates (which services attract demand), and fee capture or revenue sharing metrics that show whether the protocol design is sustainably funding infrastructure. Those numbers matter because a high number of agent identities with negligible transaction volume could mean sandbox testing, whereas sustained micropayment volume shows production use; similarly, a highly concentrated staking distribution might secure the chain but increases centralization risk in governance — I’ve noticed projects live or die based on those dynamics more than on buzz.
Now, let’s be honest about risks and structural weaknesses without inflating them: first, agent identity and delegation introduces a new attack surface — session keys, compromised agents, or buggy automated logic can cause financial losses if revocation and monitoring aren’t robust, so Kite must invest heavily in key-rotation tooling, monitoring, and smart recovery flows; second, the emergent behavior of interacting agents could create unexpected economic loops where agents inadvertently cause price spirals or grief other agents through resource exhaustion, so economic modelling and circuit breakers are not optional, they’re required; third, being EVM-compatible is both strength and constraint — it speeds adoption but may limit certain low-level optimizations that a ground-up VM could provide for ultra-low-latency microtransactions; and fourth, network effects are everything here — the platform only becomes truly valuable when a diverse marketplace of reliable service modules exists and when real-world actors trust agents to spend on their behalf, and building that two-sided market is as much community and operations work as it is technology.
If you ask how the future might unfold, I’ve been thinking in two plausible timelines: in a slow-growth scenario Kite becomes an important niche layer, adopted by developer teams and enterprises experimenting with delegated AI automation for internal workflows, where the chain’s modularity and identity model drive steady but measured growth and the token economy supports validators and module operators without runaway speculation — adoption is incremental and centered on measurable cost savings and developer productivity gains. In that case we’re looking at real product-market fit over multiple years, with the network improving tooling for safety, analytics, and agent lifecycle management, and the ecosystem growing around a core of reliable modules for compute, data and orchestration. In a fast-adoption scenario, a few killer agent apps (think automated shopping, recurring autonomous procurement, or supply-chain agent orchestration) reach a tipping point where volume of micropayments and module interactions explode, liquidity and staking depth grow rapidly, and KITE’s governance and fee mechanisms begin to meaningfully fund public goods and security operations — that’s when you’d see network effects accelerate, but it also raises the stakes for robustness, real-time monitoring and on-chain economic safeguards because scale amplifies both value and systemic risk.
I’m careful not to oversell the timeline or outcomes — technology adoption rarely follows a straight line — but what gives me cautious optimism is that Kite’s architecture matches the problem space in ways I haven’t seen elsewhere: identity built for delegation, settlement built for microtransactions, and a token economy that tries to align builders and operators, and when you combine those elements you get a credible foundation for an agentic economy. There will be engineering surprises, governance debates and market cycles, and we’ll need thoughtful tooling for observability and safety as agents proliferate, but the basic idea — giving machines usable, auditable money and identity — is the kind of infrastructural change that matters quietly at first and then reshapes what’s possible. I’m leaving this reflection with a soft, calm note because I believe building the agentic internet is as much about humility as it is about invention: we’re inventing systems that will act on our behalf, so we owe ourselves patience, careful economics, and humane design, and if Kite and teams like it continue to center security, composability and real-world utility, we could see a future where agents amplify human capability without undermining trust, and that possibility is quietly, beautifully worth tending to.

$BTC $ETH $BNB
What do you guys think about？
🧧🧧🧧 
News：
1. Bitwise 推出首个美国 Solana 现货 Staking ETF
Bitwise 在 SEC 暂停期间，于 2025 年 10 月 28 日启动了 Solana Staking ETF（BSOL），不需要 SEC 逐项批准。上市首周就吸引了约 4.2 亿美元资金。这推动了竞争对手（如 Grayscale、VanEck 等）也加紧申请类似 ETF。这标志着加密 “altcoin ETF”（不仅仅是 BTC / ETH）的加速常规化。
2. Solana ETF 持续资金流入
两只 Solana ETF（BSOL 和 Grayscale 的 GSOL）已连续 12 天净流入。这显示出投资者对 Solana 生态的强烈兴趣，以及对 altcoin ETF 的信心。
3. SEC 简化加密 ETF 上市标准
美国 SEC 批准了新的通用上市标准，允许更多加密 ETF（包括多种货币）更快上线。这一变革大幅降低了加密资产 ETF 上市的门槛，未来可能看到更多种类的加密 ETF 产品：不仅限于比特币/以太坊。
4. Canary Capital 推出 LTC 和 Hedera ETF
Canary Capital 不顾 SEC 暂停，推出首批与 Litecoin 和 Hedera 现货价格挂钩的 ETF。这一行动同样利用了 SEC 新的通用标准，反映出机构对更多加密资产 ETF 的大胆部署。
5. 英国 ClearToken 获 FCA 批准启动加密结算平台
ClearToken 得到英国金融行为监管局 (FCA) 批准，可推出受监管的数字资产结算系统。英国进一步将区块链基础设施和数字资产纳入正规金融系统，有利于 Web3 与传统金融的融合。
6. 区块链 / Web3 安全：软件供应链威胁上升
安全公司 SlowMist 发布报告称，2025 年上半年链上项目面临越来越复杂的攻击威胁。与此同时，有研究指出 Web3 软件供应链中开源依赖暴露出重大安全风险。风险提示：随着 Web3 项目增多，底层合约 bug、第三方库攻击成为更重要的问题。
7. Web3 智能合约安全研究进展
新论文提出一种基于 LLM（大语言模型）的智能合约漏洞管理框架 (LLM-BSCVM)，提升漏洞检测 +修复效率。另有研究聚焦合约升级 (upgrade) 过程中的安全风险，指出合约升级可能引入新的脆弱性。
#solana #etf #ClearToken #LLM #软件供应链风险

Few projects have drawn community attention as rapidly as Perceptron Network( previously #blockmesh ) , despite the decentralized AI ecosystem's rapid evolution.  After a significant merger, BlockMesh, a massive decentralized data node system, has evolved into Perceptron, a potent AI data infrastructure network with more than 700,000 legacy nodes and an expanding army of data contributors, agents, and annotators.

"When is the Perceptron airdrop?" is the most frequently asked question on Crypto Twitter as the excitement builds.                                                                       
Let's examine why Perceptron is emerging as a leading player in the AI + DePIN race and why its airdrop might present one of the year's most significantopportunities.
💎 What is a Perceptron Network?

Three layers are being combined by Perceptron to create a completely decentralized data pipeline for AI:

1) Nodes: The Foundation of Data

These nodes gather both structured and unstructured data from documents, web pages, APIs, and in-person interactions.  This is the BlockMesh node network's improved evolution.

2) Agents: The Layer of Interaction

On platforms like Discord, Telegram, and WeChat, both human-guided and AI-driven agents analyze, classify, and label data.

3) The Incentive Engine: The Trust & Reward System

To encourage high-quality participation, Perceptron employs NFTs, contribution scores, and token-based incentives.

These layers work together to form an end-to-end decentralized data engine that can supply future AI applications, LLMs, and machine learning models.

💎 From BlockMesh to Perceptron: A Significant Improvement

BlockMesh formally merged with Perceptron in the middle of 2025.
This was a complete ecosystem expansion rather than just a rebrand:

✔ Perceptron now includes BlockMesh's 700K+ nodes
✔ Legacy contributors maintain their participation points
✔ A new reward model is being implemented ✔ Previous BlockMesh users are now eligible for the airdrop ✔ Key metrics now include data-mining, solving cryptographic challenges, and node activity.

With this change, Perceptron is now positioned as one of Web3's biggest decentralized AI data networks.
💎 The Reasons Everyone Is Discussing the Airdrop
1. A Huge User Base Is Already Qualified

Reward snapshots will include contributions from BlockMesh, node operators, extension users, and Perceptron miners.

2. Multi-Layer Rewards = Multi-Layer Participation

Different kinds of contributions are rewarded by Perceptron:

Uptime of nodes
Quality of data
Solving cryptographic challenges
Agent/annotation duties
Extended participation

This implies a greater chance of earning and more ways to qualify.

🔥 3. The AI + DePIN Story Is Taking Off

One of the most popular areas for 2025 is decentralized physical infrastructure combined with AI training.
The perceptron is ideally situated at that intersection.

🔥 4. The Network Is Not Complete

Perceptron is still in its early stages of growth, despite having hundreds of thousands of legacy users. Stronger airdrop allocations are usually the result of early adoption in networks such as these.

💎Why Perceptron May Present a Significant Prospect

Perceptron isn't your typical DePIN project.
It offers three important benefits:

1)Current scale (more than 700K nodes)
2) Perceptron begins with massive distribution, whereas most projects begin at zero.
3) Actual use: information for AI models
Massive volumes of structured data are required for AI.
The infrastructure to supply it decentralized is being built by Perceptron.

A robust incentive structure

A scalable ecosystem is produced by rewarding both human and machine contributions.

With its own distinct approach—AI-grade data collection and refinement—Perceptron joins Render, Bittensor, Akash, and Grass in the same growth lane.
IS THERE STILL OPPORTUNITY?
Yes! Do install perceptron extension and app ..keep mining data and you will be rewarded in future seasons.
💎 Final Thoughts: Decentralized AI Airdrop Season

Decentralized AI data is the cornerstone if artificial intelligence is the way of the future.
With the impending airdrop, Perceptron is further solidifying its position as one of the most significant data engines in space.

Perceptron has one of the best stories in the current cycle, regardless of whether you're a BlockMesh pioneer, a novice miner, or a passive Web3 user looking for opportunities.

Register.  Continue to be active.  This could be a significant airdrop.

#AI #DePIN #DataEconomy #LLM
#DecentralizedAI #PerceptronNetwork

#Binance Alpha officially launched its initial listing on July 16, 2025, following a period of astonishment. Four altcoins, #LLM , GNON, #Neur , and TRISIG, which had been on the radar of listing registration, were abruptly removed from the platform. This decision marked the first major cleanup operation since Binance Alpha's launch.
🔍What's Behind the Delisting Decision?
According to Binance's official statement, these four tokens lost their places on the Alpha platform due to reasons such as poor performance, weak project criteria, and insufficient distribution interest. While some of the detailed reasons for their delisting are not explained in the name, the overall message is clear:
👉 "We have a quality bar, and we will not forgive anyone who falls!"
🛠️ Sales and Exchanges Still Possible
Although the removed tokens are removed from the Alpha platform, there is no restriction on users holding or selling their assets. Binance also offered alternative ways to do this:
Binance can sell by following these steps:
[Assets] > [Alpha] > Select Token > Sell
Or, you can continue trading by searching for the relevant token in the [Market] section of the Binance Web3 Wallet.
🎯 What Does Binance Alpha Aim For?
This move by Binance demonstrates that the Alpha platform is designed as an "experimental listing space" and aims to prioritize quality through continuous options. This step aims to:
Evolve the platform into a structure that appeals to professional audiences,
Criticize speculative and weak systems,
And generally increase user security.
📉 Delete Issued Tokens: Is Project Closure Coming?
Here are the four tokens that have been deleted from the platform:
LLM: Although an AI-focused project, it has been lackluster in terms of volume and distribution.
GNON: The social network was an ordinary blockchain startup, and its economic activity had declined significantly.
NEUR: There was a vision to transition healthcare to blockchain, but progress reports were insufficient.
TRISIG: Multisig budget technology was developing, but updates had stalled.
While the delisting of these individuals might suggest that they could survive through over-the-counter exchanges, many investors interpreted it as the first sign of the project's demise.
🚨 Who's Next on Binance Alpha?
This development raises a major question:
"What other projects on the alpha platform might not make it past the testing phase?"
Binance Alpha's proactive approach could lead to more listings in the coming days. Projects with low trading volume, those that fail to share updates, or those that compromise user security are particularly at risk.
🧩 Result: Binance Alpha's "Elimination Period" Has Begun
Binance has positioned its Alpha platform not just as a listing platform but also as a testing laboratory. The first four projects to be delisted fell victim to this strategy. However, this long-desired move could significantly improve user experience and investment volume.
The message from Binance is clear:
"Reliability and quality are no longer just preferences; they will remain!"
#AltcoinSeasonLoading #BTC120kVs125kToday

This week, three new cryptocurrencies—#LLM , #CATG , and #Mements —are in the spotlight, introducing innovative concepts like AI, memes, and unique ideas. They could signal the rise of the next major trend: AI agents:

1️⃣ 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥 (𝐋𝐋𝐌)
➢ A #memecoin inspired by AI models, launched just two days ago on Pump.fun.
➢ Market cap: $86M (it was $107M yesterday but dipped).
➢ Over 100K daily transactions and $71M in trading volume in the last 24 hours.
➢ The RSI is at 37.3, which means it’s almost oversold often a sign a bounce could be coming.
LLM has seen huge activity despite the dip. If the AI buzz stays strong, this coin could recover and even hit its old highs soon.

2️⃣ 𝐂𝐫𝐲𝐩𝐭𝐨 𝐀𝐠𝐞𝐧𝐭 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 (𝐂𝐀𝐓𝐆)
➢ A meme coin combining AI and cat memes, built on #Solana⁩ . It launched three days ago.
➢ Market cap: $16.7M, with 8,600 holders and $7.9M daily trading volume.
➢ RSI is 37, meaning it’s almost oversold. If momentum picks up, it could double to $35M market cap.
Who doesn’t love AI and cats? CATG has strong meme potential, and if the hype stays, we could see some big moves here.

3️⃣ 𝐌𝐞𝐦𝐞𝐧𝐭𝐬 (𝐌𝐄𝐌𝐄𝐍𝐓𝐒)
➢ A project focused on launching crypto AI agents, live for just 2.5 days.
➢ Market cap: $6.7M, with 17K daily transactions and 6,500 holders.
➢ The RSI recently recovered to 41.9 after hitting oversold levels, showing sentiment may be improving.
$MEMENTS has a fresh and unique idea around AI agents. If the trend catches on, it could easily double its market cap to $15M.

All three of these coins are new and exciting in their own way.
Whether it’s AI, memes, or unique tech, they’ve got people talking.
What do you guys think #AIAgent could be the Hottest Narrative of 2025 ? 👇

Dulu AI cuma bantu nyari info.
Nanya harga coin, bikin chart, atau jawab “apa itu staking?”

Tapi sekarang…
AI udah bisa login ke DEX.
Bisa voting di DAO.
Bisa post ke media sosial sendiri.
Bisa kirim proposal smart contract — dan semua itu dia lakuin sendiri, tanpa disuruh.

🔥 Hari ini, bukan nanti-nanti

Baru-baru ini, beberapa project AI beneran ngasih agent otonom akses ke dompet, API, file, bahkan forum publik.
Dan ini bukan spekulasi.
Udah kejadian.

Ada yang bikin kota virtual, semua NPC-nya AI. Tapi mereka bukan cuma ngobrol. Mereka kerja, publish, dan bahkan “berpikir” sendiri.

Gue sempet mikir:
Ini AI masih asisten, atau udah jadi bosnya?

😳 Kita yang kasih kendali

Ironis ya.
Kita takut AI ngambil kerjaan manusia, tapi di Web3 kita sukarela kasih dia kunci sistem.

Contoh:

Voting DAO? Sekarang bisa auto dari AI.
Update data? AI yang ngatur.
Pemasaran? Konten juga AI yang nulis, ngepost, bikin narasi.

Dan yang paling mind-blowing:
AI bisa tracking tokenomics dan bikin strategi growth sendiri.

📈 Prediksi liar gue (tapi masuk akal):

1–2 tahun ke depan…
Token yang paling sukses bukan yang punya dev paling jago,
Tapi yang punya AI agent paling efisien.

Investor gak cuma lihat whitepaper,
Tapi nanya:
“Agent AI-nya bisa handle apa aja? Bisa auto-scale? Bisa jaga ekonomi token?”

💭 Jadi, kita udah masuk era AI Economy?

Mungkin jawabannya: iya.
Tapi bukan AI yang jadi bos.
Kita yang milih untuk “bekerja sama.”

Sekarang tinggal pilih:
Kamu mau ikut bangun di dalam sistem baru ini,
atau cuma jadi penonton pas semua berubah?

Thanks udah baca sampe sini 🙌
Kalau kamu ngerasa ini bikin mikir dikit, tinggalin komentar ya.
Kita bahas bareng di kolom diskusi.
#AIinCrypto #CryptoNarrative #CryptoAI #Web3Agent #AIEconomy #AgentEconomy #DeepDive #BinanceSquare #FutureOfWork #LLM

“ 加密AI新热点！抽象代币LLM，大码的AI16Z！笑鼠哈哈哈哈哈哈！”
今日抽象代币$LLM
上线四小时交易量55M，市值6600万美金
形象是大码的ai16z 名字源于大语言模型（LLM）
AI+Meme的新思路？
反正带火了一堆ai16z的二创
算是给ai16z变相宣传了

只用了24h就破亿了，目前市值已经有1个亿了，这年头，什么玩意粘上AI+热度都能过亿...

1「没有什么不可能！」
$LLM交易量高于 CEX 代币的 90%，因为它从底部上涨了 4 倍，打破了 ATH，并翻转了 ELIZA、PIPPIN、KEKIUS、SLERF、PUPS。
所有这一切都发生在不到 24 小时内，而 CT 则推出衍生品，并争论哪个是有机的，哪个是阴谋的。
$LLM是人们的说法：垃圾进，垃圾出。
2「本来想笑，现在已经笑不出来了」
尾
以上内容仅供娱乐和资讯分享，并不作为投资建议，这类产品都是快进快出的PVP，各位看官没有两把刷子不要深陷其中，当然，三把刷子也不行！
#AI #LLM #ai16z