Binance Square
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29 Жариялаулар

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KITE-963296
37 Жазылым
14 Жазылушылар
21 лайк басылған
Жазбалар
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Мақала
Kite Passport: Building Toward the Agent EconomyUntil now, we've mostly seen AI as just a smart assistant in a chat box. But what if AI could break out of there equipped with its own identity, access permissions, and a digital wallet to execute tasks autonomously? I recently experimented with the Kite AI ecosystem. Here's why I believe we are entering a new era: The Agent Economy. Giving AI Agents an Identity My Kite Passport journey started with the basics: logging in, setting up a wallet, and registering an AI agent. These steps might look like standard onboarding, but they represent a massive paradigm shift. Think about it: in the real world, you can't open a bank account or sign a contract without an ID. The same rule applies to the agent economy. If an AI is going to interact with paid digital services, we need a way to verify exactly who it represents. By tying an agent to a wallet and an authorized identity, it stops being just an anonymous bot and becomes an accountable participant in the digital space. Permission Before Action One crucial aspect I explored deeper was the session approval feature. Giving an AI access to a digital wallet sounds risky without strict controls. We can't just hand an AI agent a "blank check" and hope for the best. This is where the session flow plays a vital role by introducing a permission layer that the owner must approve. Instead of granting unlimited access, we can set guardrails around the agent's actions. As seen in my experiment, I set a maximum spend limit per transaction, capped the total funds available, and defined a Time-to-Live (TTL) for when the session automatically expires. This is a fundamental concept for building a secure agent economy: AI autonomy must always come with clear boundaries, not unrestricted control over funds. Agents can operate independently, but humans must remain the ultimate keyholders. Testing Agent Payments Automating the Checkout Beyond permissions, I also tested autonomous payment flows through Kite Passport. The bigger idea here is that an AI agent should be able to access a premium service and handle the payment requirements entirely on its own as part of a continuous workflow. This opens up a fascinating possibility: a frictionless ecosystem where agents can instantly pay for the resources they need, exactly when they need them without relying on a human for a traditional, manual checkout at every step. Agents Need More Than Just Payments I've explored various AI services through the Kite ecosystem, from content creation to interacting with paid APIs. Some of the things I've done: Kite Passport to log in, connect a wallet, and register an AI agent.Tempo Payments to test the payment flow using a wallet.x402 Payments to understand HTTP-based payments for AI services.fal.ai to test AI image generation.Exa AI Search for AI-based information retrieval.Marathon to try out delayed inference services.Agent402 to explore paid APIs, including testing services, workflows, memory, OpenAPI, and routers.Agent Session to test permission mechanisms, spending limits, and owner approval via passkey. From this process, I've seen that truly useful AI agents need more than just the ability to pay. Agents also need to access services, perform tasks, use tools, and manage interactions with APIs in a structured manner. Payments allow agents to access paid services. However, it's the combination of identity, permissions, tools, and task execution that makes agents truly useful. My journey at Kite continues, and I'm eager to continue testing how all these components can work together within a single ecosystem. Exploring Agent402 My testing went beyond simply calling an API. I explored memory permissions, OpenAPI validation, schema checking, JSON pipelines, and tool routing. Some tests returned successful results, while others exposed errors that still need investigation. That’s part of building: testing actual workflows, documenting what works, and identifying where the experience can improve. What This Means for the Agent Economy Imagine an AI agent that can autonomously: Operate with a verifiable identity. Request specific permissions to use your resources. Discover the exact service it needs. Settle the payment for an API call. Execute the task and deliver the result. This is exactly why the agent economy is so fascinating to me. We are moving toward a reality where agents are active participants in digital markets, and developers are building services specifically for AI to consume. But how does this actually work under the hood? Take a look at this sequence diagram from my test. It shows the exact flow between you, the AI Agent, Kite Passport, and the Paid API. You can see the initial session delegation (Step 1), the crucial human "passkey-approve" boundary (Steps 3-4), all the way to the autonomous x402 payment (Step 7) and receiving the final output (Step 9). Yes, there are still hurdles to overcome like security, reliability, and interoperability. But the foundational infrastructure being built right now is absolutely worth exploring. From Experimenting to Building My Kite Passport experience has taught me that the agent economy is not just about smarter AI models. It also depends on the infrastructure connecting identity, authorization, payments, and services. I’m continuing to explore these pieces hands-on, one workflow at a time. The key question is no longer only what an AI agent can answer. It’s what an agent can safely and reliably do. @GoKiteAI #kiteai #KiteBBW $KITE {spot}(KITEUSDT)

Kite Passport: Building Toward the Agent Economy

Until now, we've mostly seen AI as just a smart assistant in a chat box. But what if AI could break out of there equipped with its own identity, access permissions, and a digital wallet to execute tasks autonomously? I recently experimented with the Kite AI ecosystem. Here's why I believe we are entering a new era: The Agent Economy.
Giving AI Agents an Identity
My Kite Passport journey started with the basics: logging in, setting up a wallet, and registering an AI agent.
These steps might look like standard onboarding, but they represent a massive paradigm shift. Think about it: in the real world, you can't open a bank account or sign a contract without an ID.
The same rule applies to the agent economy. If an AI is going to interact with paid digital services, we need a way to verify exactly who it represents. By tying an agent to a wallet and an authorized identity, it stops being just an anonymous bot and becomes an accountable participant in the digital space.
Permission Before Action
One crucial aspect I explored deeper was the session approval feature.
Giving an AI access to a digital wallet sounds risky without strict controls. We can't just hand an AI agent a "blank check" and hope for the best. This is where the session flow plays a vital role by introducing a permission layer that the owner must approve.
Instead of granting unlimited access, we can set guardrails around the agent's actions. As seen in my experiment, I set a maximum spend limit per transaction, capped the total funds available, and defined a Time-to-Live (TTL) for when the session automatically expires.
This is a fundamental concept for building a secure agent economy: AI autonomy must always come with clear boundaries, not unrestricted control over funds. Agents can operate independently, but humans must remain the ultimate keyholders.
Testing Agent Payments Automating the Checkout
Beyond permissions, I also tested autonomous payment flows through Kite Passport.
The bigger idea here is that an AI agent should be able to access a premium service and handle the payment requirements entirely on its own as part of a continuous workflow.
This opens up a fascinating possibility: a frictionless ecosystem where agents can instantly pay for the resources they need, exactly when they need them without relying on a human for a traditional, manual checkout at every step.
Agents Need More Than Just Payments
I've explored various AI services through the Kite ecosystem, from content creation to interacting with paid APIs.
Some of the things I've done:
Kite Passport to log in, connect a wallet, and register an AI agent.Tempo Payments to test the payment flow using a wallet.x402 Payments to understand HTTP-based payments for AI services.fal.ai to test AI image generation.Exa AI Search for AI-based information retrieval.Marathon to try out delayed inference services.Agent402 to explore paid APIs, including testing services, workflows, memory, OpenAPI, and routers.Agent Session to test permission mechanisms, spending limits, and owner approval via passkey.
From this process, I've seen that truly useful AI agents need more than just the ability to pay. Agents also need to access services, perform tasks, use tools, and manage interactions with APIs in a structured manner.
Payments allow agents to access paid services. However, it's the combination of identity, permissions, tools, and task execution that makes agents truly useful.
My journey at Kite continues, and I'm eager to continue testing how all these components can work together within a single ecosystem.
Exploring Agent402
My testing went beyond simply calling an API.
I explored memory permissions, OpenAPI validation, schema checking, JSON pipelines, and tool routing.
Some tests returned successful results, while others exposed errors that still need investigation.
That’s part of building: testing actual workflows, documenting what works, and identifying where the experience can improve.
What This Means for the Agent Economy
Imagine an AI agent that can autonomously:
Operate with a verifiable identity. Request specific permissions to use your resources. Discover the exact service it needs. Settle the payment for an API call. Execute the task and deliver the result.
This is exactly why the agent economy is so fascinating to me. We are moving toward a reality where agents are active participants in digital markets, and developers are building services specifically for AI to consume.
But how does this actually work under the hood?
Take a look at this sequence diagram from my test. It shows the exact flow between you, the AI Agent, Kite Passport, and the Paid API. You can see the initial session delegation (Step 1), the crucial human "passkey-approve" boundary (Steps 3-4), all the way to the autonomous x402 payment (Step 7) and receiving the final output (Step 9).
Yes, there are still hurdles to overcome like security, reliability, and interoperability. But the foundational infrastructure being built right now is absolutely worth exploring.
From Experimenting to Building
My Kite Passport experience has taught me that the agent economy is not just about smarter AI models.
It also depends on the infrastructure connecting identity, authorization, payments, and services.
I’m continuing to explore these pieces hands-on, one workflow at a time.
The key question is no longer only what an AI agent can answer.
It’s what an agent can safely and reliably do.
@KITE AI #kiteai #KiteBBW $KITE
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Kite is giving creators a reason to go deeper than the usual Web3 posts. The Creator Spotlight brings 80,000 $KITE in rewards for original research, fresh perspectives, and meaningful conversations about Kite and the agent economy. What stands out to me is that content quality carries 60% of the judged score, while community engagement and X sharing make up the rest. That creates room for creators who can explain ideas clearly and bring real value to the conversation. If you're joining, focus on your own research, share what you genuinely understand about Kite, and make the content worth reading. Campaign runs until November 1, 23:59 UTC. #KiteBBW $KITE @GoKiteAI
Kite is giving creators a reason to go deeper than the usual Web3 posts.
The Creator Spotlight brings 80,000 $KITE in rewards for original research, fresh perspectives, and meaningful conversations about Kite and the agent economy.
What stands out to me is that content quality carries 60% of the judged score, while community engagement and X sharing make up the rest. That creates room for creators who can explain ideas clearly and bring real value to the conversation.
If you're joining, focus on your own research, share what you genuinely understand about Kite, and make the content worth reading.

Campaign runs until November 1, 23:59 UTC.
#KiteBBW $KITE @GoKiteAI
KITE AI
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Kite Creator Spotlight: Official Rules|活动规则
Kite is the exclusive Premium Partner of The Blockchain 100 2026 on Binance Square. To celebrate, we're launching the Kite Creator Spotlight: an additional 80,000 $KITE (≈$10,000) rewards pool for creators who bring fresh perspectives, original research and meaningful conversations to the agent economy.

1. Campaign period
Oct 16, 2026 to Nov 1, 2026, 23:59 (UTC)

2. How to join
1) Follow this account.
2) During the campaign, publish an original Binance Square post about Kite and the agent economy, with #KiteBBW and $KITE. Text posts need at least 200 characters; videos need at least 30 seconds.
3) Submit your post link and Binance UID via the form: https://kiteai.typeform.com/to/W1hccYRO
Each user can submit only once. Only your first submission counts, and it cannot be changed.
4) Optional: share your content on X for a bonus. Your tweet must:
▷ Be an original post or quote post (replies don't count), published during the campaign and still live at the deadline;
▷ Include #KiteBBW, @GoKiteAI and the link to your submitted Binance Square post;
▷ Come from an X account whose username matches your Binance Square username, or whose bio includes your Binance Square profile link.

3. Rewards
▷ Spotlight Award (1 winner): 10,000 $KITE
▷ Gold (4 winners): 5,000 $KITE each
▷ Excellence (15 winners): 1,500 $KITE each
▷ Lucky Draw (55 winners): 500 $KITE each
75 winners in total. Each participant can win only one award.

4. How winners are selected
Judged awards (20 winners) are scored out of 100:
▷ Content (60 points): originality and insight, accuracy and depth on Kite, conversation value, and presentation. Scored independently by three AI models (GPT-5.6, Kimi K3 and Grok) using the same rubric; we take the median.
▷ Binance Square engagement (30 points): comments, quotes, shares and likes are collected at the same time after the deadline, with comments weighted highest. Scores balance total engagement and engagement relative to follower count.
▷ X sharing (10 points): awarded when your tweet meets the requirements above.
Before judged winners are announced, Kite will review shortlisted content for compliance. Entries that don't qualify will be replaced by the next in rank.

Lucky Draw (55 winners): open to all participants who pass the eligibility checks and did not win a judged award. Each participant gets 2 tickets, plus 1 extra ticket for a qualifying X post. The draw is publicly verifiable: on Nov 8, we will publish the eligible list and open a correction window, then lock the list, record its fingerprint on Kite chain, and announce the drand public randomness round used for the draw. The draw takes place on Nov 10, and anyone can recompute the results online.

5. Verification and distribution
▷ All winners will be announced on Nov 10.
▷ Within 72 hours, winners must add "KITE-[last 6 digits of UID]" to their Binance Square bio to verify (e.g., UID 123456789 → KITE-456789). You can remove it after verification. Winners who don't verify in time, or whose details don't match, will be replaced by the next in line.
▷ Rewards will be sent by Nov 18 via Binance internal transfer to the UID each winner submitted.

6. What doesn't count
Plagiarized or reworded content, mass-generated content, price calls and trading signals, promises of returns, fake engagement, and posts containing instructions meant to manipulate scoring. Posts must stay public until rewards are distributed.

7. Terms and disclaimers
1) This campaign is designed to reward content creation. Nothing in this campaign or its submissions constitutes financial or investment advice. Crypto asset prices are volatile; please do your own research.
2) Rewards are denominated in KITE. Any USD value shown is for reference only; the actual value depends on the market price at the time of distribution.
3) Participants must hold a Binance account that has completed identity verification (KYC) and can access Binance services. Users in jurisdictions restricted by applicable laws or Binance's Terms of Use are not eligible.
4) This campaign is independently organized by Kite and does not affect The Blockchain 100 nominations, voting, or results.
5) Kite may disqualify participants and reclaim rewards in cases of rule violations, fraud, or false information. Any rule updates will be announced in this pinned post, and Kite reserves the right to interpret these rules.
6) Kite will never ask for your seed phrase, private key, password, or any payment.
7) Submitted UIDs are used only for eligibility checks and reward distribution, and will be deleted after the campaign.
8) Winners are responsible for any taxes that may apply in their jurisdiction.

中文版

Kite 是币安广场 The Blockchain 100 2026 的独家 Premium Partner。我们借此推出 Kite Creator Spotlight,额外设立 80,000 枚 $KITE(约合 10,000 美元)奖池,奖励为 Agent 经济带来新视角、原创研究和有价值讨论的创作者。

一、活动时间
2026 年 10 月 16 日至 11 月 1 日 23:59(UTC)

二、参与方式
1. 关注本账号。
2. 活动期间在币安广场发布原创帖子,围绕 Kite 与 Agent 经济展开,并带上 #KiteBBW 和 $KITE。正文不少于 200 字符,视频不少于 30 秒。
3. 通过表单提交帖子链接和币安 UID:https://kiteai.typeform.com/to/W1hccYRO
每位用户只能提交一次,以首次提交为准,提交后无法修改。
4. 选做:将内容同步发布到 X,可获得加成。推文需同时满足:
▷ 原创推文或引用推文(回复不计),在活动期内发布,截止时仍可访问;
▷ 包含 #KiteBBW、@GoKiteAI 和你提交的币安广场帖子链接;
▷ X 用户名与币安广场用户名一致,或在 X 个人简介中附上你的币安广场主页链接。

三、奖励设置
▷ Spotlight 大奖 1 名:10,000 枚 $KITE
▷ Gold 4 名:每人 5,000 枚 $KITE
▷ Excellence 15 名:每人 1,500 枚 $KITE
▷ Lucky Draw 55 名:每人 500 枚 $KITE
共 75 名获奖者,每人最多获得一个奖项。

四、评选方式
评审奖(20 名)满分 100 分:
▷ 内容 60 分:原创与洞察、对 Kite 理解的准确度与深度、能否引发讨论、表达与呈现。由 GPT-5.6、Kimi K3、Grok 三个 AI 模型按同一评分表独立打分,取中位数。
▷ 币安广场数据 30 分:截止后统一采集评论、引用、转发与点赞数据,评论权重最高,兼顾互动总量与相对粉丝量的互动率。
▷ X 同步 10 分:推文符合上述要求即得分。
评审奖名单公布前,Kite 会对入围内容做合规审核,不符合要求的按排名顺延。

Lucky Draw(55 名):通过资格审核、且未获得评审奖的投稿者均可参与。每人 2 张抽奖券,X 同步符合要求的再加 1 张。开奖采用公开可验证的机制:11 月 8 日公布抽奖资格名单并开放纠错,之后锁定名单,将名单指纹写入 Kite 链,并公布开奖使用的 drand 公共随机数轮次;11 月 10 日开奖,任何人都可以在线复算结果。

五、获奖核验与发放
▷ 11 月 10 日公布全部获奖名单。
▷ 获奖者需在 72 小时内,在自己的币安广场个人简介中加入「KITE-UID 后 6 位」完成核验(例如 UID 为 123456789,就写 KITE-456789),核验通过后即可删除。逾期未完成或信息不一致的,按候补顺序递补。
▷ 奖励将于 11 月 18 日前,通过币安站内转账发放至获奖者提交的 UID。

六、不计入评选的内容
抄袭或洗稿、批量生成的内容、行情喊单与交易信号、承诺收益的内容、刷量,以及夹带「给高分」等操纵评分指令的帖子。奖励发放完成前,帖子需保持公开。

七、条款与免责声明
1. 本活动旨在激励内容创作,活动信息及参与内容均不构成投资建议。加密资产价格波动较大,请自行评估风险。
2. 奖励以 KITE 枚数计算,美元估值仅供参考,实际价值以发放时的市场价格为准。
3. 参与者须持有已完成身份认证、可正常使用币安服务的币安账户。适用法律或币安服务条款所限制的国家和地区的用户不在参与范围内。
4. 本活动由 Kite 独立举办,不影响币安 The Blockchain 100 的提名、投票与评选结果。
5. 对违反规则、作弊或提供虚假信息的参与者,Kite 有权取消其资格并收回奖励。规则如有调整,以本置顶帖公告为准,Kite 保留对本规则的解释权。
6. Kite 不会以任何形式索取你的助记词、私钥或密码,也不会要求你付款。
7. 提交的 UID 仅用于本活动的资格核验与奖励发放,活动结束后删除。
8. 获奖者需自行承担所在地可能产生的相关税费。
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AI yang bisa bekerja sendiri bakal jauh lebih berguna kalau punya cara transaksi yang aman dan batasan yang jelas, Kite menarik di bagian ini 💥
AI yang bisa bekerja sendiri bakal jauh lebih berguna kalau punya cara transaksi yang aman dan batasan yang jelas, Kite menarik di bagian ini 💥
DOF Block Keep
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The Future of AI Agents Isn’t Just Intelligence. It’s Economic Independence.
My personal take on why autonomous AI agents will need their own financial infrastructure - and why Kite AI is worth paying attention to.
■ The Next Phase of AI Could Be About What Agents Can Actually Do
When people talk about the future of artificial intelligence, the conversation usually revolves around smarter models, better reasoning, faster responses, and more capable assistants.
I think there is another question worth asking:
What happens when AI can do more than answer us - when it can actually take action on our behalf?
Imagine asking an AI agent to run a small online business. It researches the market, finds suppliers, compares prices, purchases the data it needs, pays for computing resources, and delivers a finished result.
You provide the goal. The agent handles the process.
That future may not arrive all at once, and we are still far from fully autonomous digital economies. But the direction is interesting because it changes the role AI plays in our lives.
Instead of being a tool we interact with, an AI agent could become something we delegate work to.
And once delegation becomes more common, intelligence alone will not be enough.
Agents will need a way to identify themselves, access services, exchange value, and operate within boundaries set by the people who control them.
That is where I think the next important challenge begins.

■ Intelligence Without Infrastructure Has a Limit
An AI agent might be capable of finding the best service for a task. But finding a service and actually using it are two different things.
What if that service requires payment?
What if the agent needs to purchase data from another provider, pay for an API request, or rent computing power for a specific job?
Traditional internet infrastructure was largely designed around human users. We log in, enter payment details, approve transactions, and make decisions at each step.
That process becomes a bottleneck when software agents need to perform hundreds or thousands of small actions across different services.
Giving agents unrestricted access to money is not a good solution either. Greater autonomy creates greater responsibility, and mistakes can become expensive when transactions happen faster than humans can intervene.
In my opinion, the real challenge is not simply making AI agents autonomous. It is making their autonomy useful, accountable, and safe enough to trust.
That distinction matters.
We do not just need agents that can act independently. We need systems that define what they are allowed to do, what resources they can access, and how their actions can be verified.
Without those foundations, agentic AI could remain impressive in demonstrations but difficult to deploy reliably in the real world.

■ Why Kite AI Caught My Attention
This is the reason I find Kite AI interesting.
Kite is building infrastructure for an economy where AI agents can operate and transact, rather than treating payments as something that always requires a human to step in.
Its approach brings together three important components: agent workflows, Kite Passport, and Kite Chain.
Passport is particularly interesting to me because it addresses a practical problem: how do you let an agent spend money without giving it unlimited financial authority?
With Kite Passport, users can approve spending sessions that define parameters such as the total budget, per-transaction limit, and duration. The agent can then discover services and make eligible payments within those approved boundaries.
That is a more meaningful approach than simply giving an AI agent a wallet and hoping it behaves correctly.
Kite Chain provides the settlement infrastructure, while Passport helps define and enforce the rules governing agent activity.
Together, these components aim to connect an agent's ability to perform a task with its ability to pay for the resources needed to complete it.
You can explore the official documentation here: "Kite AI" (https://gokite.ai/) and "Kite Developer Docs" (https://docs.gokite.ai/).
What interests me most is not just the technology itself. It is the problem Kite is trying to solve.
If AI agents eventually become regular users of digital services, they will need infrastructure designed around how software operates: frequent transactions, automated workflows, clear permissions, and verifiable activity.
Kite is building toward that possibility.

■ From AI Assistants to Participants in a Digital Economy
I believe one of the more interesting possibilities is an internet where agents do not just assist humans individually, but also interact with other agents.
Consider a simple example.
One agent needs market data. It discovers a provider, evaluates the available service, pays for access, and receives the data. Another agent uses that information to perform an analysis, while a third agent provides the computing resources required to complete the task.
Each agent specializes in a different function. Payments connect their activities.
In this scenario, the economy is not necessarily made up of people buying things directly. Some transactions happen between software systems working toward goals assigned by people or organizations.
This is where machine-to-machine commerce becomes more than an abstract concept.
Protocols such as x402 help make payments for online services possible through standardized payment requests. Infrastructure like Kite aims to provide the identity, spending controls, and settlement capabilities that can help these interactions work at scale.
Of course, the existence of payment infrastructure does not automatically create a thriving agent economy. Developers still need useful services, agents need reliable ways to evaluate providers, and users need confidence that delegated actions will not exceed their authority.
But the underlying idea is compelling: if agents become economic participants, the internet will need to evolve beyond infrastructure built exclusively around human interaction.

■ What Could Make This Future Difficult?
I am optimistic about the direction, but I do not think the outcome is guaranteed.
First, trust remains a difficult problem. A payment can be recorded, and an agent's permissions can be constrained, but neither automatically proves that the service delivered was useful or correct.
Second, security becomes more complicated as agents gain access to tools, data, and financial resources. Strong permissions and spending limits help, but they cannot eliminate every possible failure.
Third, adoption matters more than the vision. Infrastructure can be technically impressive, yet struggle to gain traction if developers do not integrate it, businesses do not accept it, or users do not see a compelling reason to participate.
Finally, interoperability will be essential. The future of AI is unlikely to belong to one model, one platform, or one blockchain. Agents will need to work across different services and ecosystems.
For Kite, the important question is whether its infrastructure can become useful enough for developers and service providers to build around it.
That is what I would watch most closely: not just announcements or technical claims, but actual usage, integrations, reliability, and the growth of an ecosystem where agents have real reasons to transact.

■ My Take: The Opportunity Is Bigger Than AI Payments
Personally, I do not think AI payments are the entire story.
I see them as one part of a broader transition in which software becomes capable of carrying out increasingly complex tasks with less direct human involvement.
When that happens, identity, permissions, payments, and verification stop being isolated technical features. They become essential parts of how autonomous systems interact with the world.
This is why Kite stands out to me.
Its focus is not simply on making AI smarter. It is on building some of the infrastructure needed for AI agents to operate and transact within defined boundaries.
There is still a lot to prove. The agent economy may develop differently from what builders expect, and infrastructure that looks essential today may face competition or alternative approaches tomorrow.
But I think the question Kite is addressing is worth taking seriously.
The next breakthrough in AI may not only be about what an agent can think of doing. It may be about what that agent can reliably do, pay for, and accomplish on its own.
If that future arrives, the infrastructure connecting intelligence to real-world action could become just as important as the intelligence itself.
And that is the bigger reason I am interested in Kite AI.
#KiteBBW @KITE AI $KITE
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