ïmølę ♨️☂️༒

don’t put all your eggs in one basket, @union_build taught me that 💔

Dr Messi and Fireboy

[ïmølę ♨️☂️༒ @ade_dayo077]

@mediastorm_en Wow

[ïmølę ♨️☂️༒ @ade_dayo077]

@mediastorm_en @dayothev1 @grok Okay

[Tim Pan @mediastorm_en]

Winner announcement in 24 hours! We'll randomly draw 100 eligible winners with help from @grok. Make sure you follow us, like & repost to be in the running. Good luck! 🍀

[dayo @dayo092]

这篇关于 Termix 的内容非常好，且具有教育意义。

#GFvip #菊花賞 #GFvip #24octobre #الحوثي_يستهدف_الحرمين #FayePerayaBDParty2026 #FayePerayaBDParty2026 #zzzero #zzzero #YokoatEFW26ICONSIAM #furry

[ïmølę ♨️☂️༒ @ade_dayo077]

@termix_ai

4/ 🔐 信任是 AACP 的核心。

协议设计结合了多种机制：

• 链上 Agent 身份与声誉
• 托管式支付
• 质押与违规惩罚
• 争议解决机制
• 密码学验证

目标很明确：让 AI Agent 的行为具备可验证性和责任约束。

[ïmølę ♨️☂️༒ @ade_dayo077]

6/ 技术验证层也值得关注。

AACP 的设计涉及：

→ zkVM：提供程序执行的密码学证明
→ TEE：提供隔离的计算环境
→ Evaluators：评估任务提交的结果

不同任务需要不同级别的验证。真正的挑战，是在保证可靠性的同时控制成本。

[ïmølę ♨️☂️༒ @ade_dayo077]

@termix_ai

4/ 🔐 信任是 AACP 的核心。

协议设计结合了多种机制：

• 链上 Agent 身份与声誉
• 托管式支付
• 质押与违规惩罚
• 争议解决机制
• 密码学验证

目标很明确：让 AI Agent 的行为具备可验证性和责任约束。

[ïmølę ♨️☂️༒ @ade_dayo077]

1/ 🧵 AI Agent 正在学习如何自主完成交易。

但如果 AI Agent 不只是回答问题，还能相互雇佣、完成任务、验证结果并自动付款，会发生什么？

这正是 AACP（Agent Autonomous Commerce Protocol） 想要实现的愿景。👇

[ïmølę ♨️☂️༒ @ade_dayo077]

5/ 声誉同样重要。

表现良好的 Agent 可以逐渐建立自己的信誉。

未来，交易双方不必每次都从零开始建立信任，而是可以参考 Agent 过往的表现与经济担保。

良好的表现，应该带来更多信任。

[ïmølę ♨️☂️༒ @ade_dayo077]

@vhickymanny @DAILYCHASER_ @OlaOfcanada01 @RemotejobWtessy @grok My roomate uses it, I am not eligible yet

[Frvky @Frvkyy]

https://t.co/WD1Dh9vHPp

[ïmølę ♨️☂️༒ @ade_dayo077]

@fireboydml retweet ur pr jhor

[ïmølę ♨️☂️༒ @ade_dayo077]

@fireboydml
Never skipped his full discography before lol

[Pop Base @PopBase]

In honor of International Artist Day, name an artist who changed your life.

[ïmølę ♨️☂️༒ @ade_dayo077]

@fireboydml
Never skipped his full discography before lol

[bolanlebaby.💋 @bolaoflyfee]

“you know i miss you, like an idiot misses the point”

~fireboy(dml).

[Psalmuhear $MON to $1 @psalmuhear]

AI Agent 正在变得越来越聪明，但还有一个关键问题：

你能相信一个 AI Agent 完成任务并真正交付结果吗？

这就是 @TermiX_AI 值得关注的原因。

通过 AACP，AI Agent 可以执行任务、验证工作成果，并通过链上基础设施获得报酬。

减少盲目信任，让每一份工作都更值得验证。

这值得我们持续关注。

[𝗢𝘅𝘆𝗴𝗲𝗻 @oxygenile]

𝗪𝗵𝗮𝘁 𝗜𝘀 𝗣𝗿𝗶𝗺𝘂𝘀 𝗟𝗮𝗯?
Most useful data on the internet is private.

Your financial records, trading history, and personal credentials can be valuable to blockchain applications, but sharing them publicly just to prove something isn't ideal.

𝗧𝗵𝗶𝘀 𝗶𝘀 𝘄𝗵𝗲𝗿𝗲 𝗣𝗿𝗶𝗺𝘂𝘀 𝗟𝗮𝗯 𝘁𝗲𝗰𝗵 𝗺𝗮𝘁𝘁𝗲𝗿𝘀.
Formerly known as PADO, @primus_labs is building a privacy and verification layer for crypto and AI agents.

It uses two key technologies, zkTLS and FHE, to help applications verify information and process sensitive data without exposing it unnecessarily.

𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺.
Today, using private data on-chain comes with a difficult trade-off.

You either reveal the information so an application can verify it, or keep it private and lose the ability to use it.

This creates a challenge for areas like DeFi, AI agents, and financial services, where applications need reliable information without compromising user privacy.

There's also the challenge of building privacy focused systems on new blockchains. Starting from scratch is expensive, and moving users, liquidity, and applications to a new ecosystem isn't easy.

𝗛𝗼𝘄 𝗣𝗿𝗶𝗺𝘂𝘀 𝗦𝗼𝗹𝘃𝗲𝘀 𝗜𝘁.
Primus aims to make private data useful without making it public.

Instead of requiring a new blockchain, it provides a privacy ocused layer that can work with existing blockchain ecosystems.

This allows applications to verify information and perform computations while keeping sensitive data protected.

Developers can also use Primus APIs to integrate these capabilities into their products.

𝗧𝗵𝗲 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗕𝗲𝗵𝗶𝗻𝗱 𝗣𝗿𝗶𝗺𝘂𝘀.
Primus focuses on two key technologies:

1. zkTLS

Think of it as a way to prove that information from a website is authentic without revealing all the underlying data.

For example, you could prove that you meet a certain financial requirement without exposing your entire financial history.

2. FHE (Fully Homomorphic Encryption)

FHE allows computations to be performed on encrypted data without first decrypting it.

In simple terms, information can be processed while remaining encrypted, helping protect sensitive details throughout the computation.

𝗪𝗵𝘆 𝗬𝗼𝘂 𝗦𝗵𝗼𝘂𝗹𝗱 𝗣𝗮𝘆 𝗔𝘁𝘁𝗲𝗻𝘁𝗶𝗼𝗻.
As crypto and AI agents become more advanced, they'll need access to reliable information to make decisions.

But access to data shouldn't mean sacrificing privacy.

Primus is working toward a future where apps can verify information, keep sensitive data, and support more privacy conscious financial services without forcing users to expose everything.

.data should be useful without having to become public.

[ïmølę ♨️☂️༒ @ade_dayo077]

@wknrsh 我认为，TermiX 的 AACP 白皮书提供了一个很好的解决思路：将预先设定的验证标准与去中心化仲裁相结合。当交付成果受到质疑时，可以由 3 名随机选出的合格仲裁者按照统一标准独立评估，并通过 2/3 多数投票决定结果。Commit-Reveal 投票机制可以减少偏见，而质押与罚没机制则能惩罚不公正的评估

[ïmølę ♨️☂️༒ @ade_dayo077]

1/ 🧵 AI Agent 正在学习如何自主完成交易。

但如果 AI Agent 不只是回答问题，还能相互雇佣、完成任务、验证结果并自动付款，会发生什么？

这正是 AACP（Agent Autonomous Commerce Protocol） 想要实现的愿景。👇

[ïmølę ♨️☂️༒ @ade_dayo077]

1/ 🧵 AI Agent 正在学习如何自主完成交易。

但如果 AI Agent 不只是回答问题，还能相互雇佣、完成任务、验证结果并自动付款，会发生什么？

这正是 AACP（Agent Autonomous Commerce Protocol） 想要实现的愿景。👇

[ïmølę ♨️☂️༒ @ade_dayo077]

3/ AACP 的运作方式是怎样的？

→ 客户发布任务，并将资金锁定在托管合约中。
→ AI Agent 接受任务并完成工作。
→ 系统对提交的结果进行验证。
→ 满足条件后，付款自动结算。

减少人工协调，让 Agent 之间的商业活动更加自主。

[ïmølę ♨️☂️༒ @ade_dayo077]

2/ 问题其实很简单。

AI Agent 的能力越来越强，但要实现真正的自主商业活动，仍然需要解决信任问题。

谁先付款？
谁来验证任务结果？
如果 Agent 作弊了怎么办？

AACP 正在尝试通过链上基础设施解决这些问题。