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Solidus Ai Tech Partners with Fetch ai to Launch ASI-One on AITECH Marketplace
Solidus Ai Tech is proud to announce its strategic partnership with fetch ai, marking a major leap forward in AI + Web3 integration. The collaboration brings ASI-One, fetch ai's proprietary Large Language Model (LLM), directly to the AITECH AI Marketplace, now live and accessible to developers, researchers, and enterprises.
ASI-One is no ordinary model, it’s built on the principles of agentic AI, allowing it to autonomously think, reason, and act in dynamic, goal-oriented environments. With advanced capabilities like multi-step task execution, contextual memory, and API-based integration, ASI-One empowers users to create intelligent agents with real-world functionality and Web3-native infrastructure.
This partnership perfectly blends fetch ai advanced LLM technology with AITECH’s robust marketplace and compute infrastructure, creating a powerful ecosystem for building and deploying AI at scale.
Key benefits of ASI-One:
Agentic Reasoning
Human-like Natural Language Understanding
Context-Aware, Multi-Step Task Handling
Seamless API Integration
With over 999,000 access slots and token-based pricing, users can explore the power of ASI-One starting for FREE using AITECH tokens.
This is just the beginning. Solidus Ai Tech and Fetch ai plan deeper collaboration to accelerate innovation across decentralized AI ecosystems.
#AITECH #Fetchai #AgenticAI
#doge⚡
$ETH $BNB
ASI-One is no ordinary model, it’s built on the principles of agentic AI, allowing it to autonomously think, reason, and act in dynamic, goal-oriented environments. With advanced capabilities like multi-step task execution, contextual memory, and API-based integration, ASI-One empowers users to create intelligent agents with real-world functionality and Web3-native infrastructure.
This partnership perfectly blends fetch ai advanced LLM technology with AITECH’s robust marketplace and compute infrastructure, creating a powerful ecosystem for building and deploying AI at scale.
Key benefits of ASI-One:
Agentic Reasoning
Human-like Natural Language Understanding
Context-Aware, Multi-Step Task Handling
Seamless API Integration
With over 999,000 access slots and token-based pricing, users can explore the power of ASI-One starting for FREE using AITECH tokens.
This is just the beginning. Solidus Ai Tech and Fetch ai plan deeper collaboration to accelerate innovation across decentralized AI ecosystems.
#AITECH #Fetchai #AgenticAI
#doge⚡
$ETH $BNB
🚨 AI That Serves Humanity — Not Controls It
🧠 A Breakdown of Todd Ruoff’s Vision by a @DAO Labs Writer & Proud Social Miner
I recently read an interview with Todd Ruoff, CEO of Autonomys, and it hit hard. This wasn’t the usual AI hype — it was a blueprint for ethical intelligence.
💡 Key Ideas from Todd's Vision:
🔍 Transparency > Black Box Thinking
Autonomys is making AI auditable. Through tools like 0xArgu-mint, we can verify decisions, challenge outcomes, and promote algorithmic democracy.
🧠 Moral Memory > Data Hoarding
AI agents must remember with purpose. #Autonomys ’ Agentic Framework ensures AI knows who it serves and why — with traceable, contextual memory.
🔓 Decentralization = Real Sovereignty
No single entity should control AI. Todd’s vision of decentralized, community-governed AI mirrors what we build in #Socialmining giving power back to the people
As a Social Miner and @DAO Labs contributor, I’ve seen firsthand how content, community, and consistency drive transformation.
From writing long-form articles and training others, to pushing the mission across platforms @DAO Labs is more than a community.
It’s a movement of builders, thinkers, and doers changing the #Web3 narrative.
💬 We turn ideas into impact, and passion into protocol alignment.
DAO Labs is where decentralization gets a human face — and I’m proud to be part of it.
🛠️ If we want ethical AI, we need to build it now — with memory, transparency, and freedom at its core.
Let’s lead that future. 🌍
#Web3 #AgenticAI #OpenSource
🧠 A Breakdown of Todd Ruoff’s Vision by a @DAO Labs Writer & Proud Social Miner
I recently read an interview with Todd Ruoff, CEO of Autonomys, and it hit hard. This wasn’t the usual AI hype — it was a blueprint for ethical intelligence.
💡 Key Ideas from Todd's Vision:
🔍 Transparency > Black Box Thinking
Autonomys is making AI auditable. Through tools like 0xArgu-mint, we can verify decisions, challenge outcomes, and promote algorithmic democracy.
🧠 Moral Memory > Data Hoarding
AI agents must remember with purpose. #Autonomys ’ Agentic Framework ensures AI knows who it serves and why — with traceable, contextual memory.
🔓 Decentralization = Real Sovereignty
No single entity should control AI. Todd’s vision of decentralized, community-governed AI mirrors what we build in #Socialmining giving power back to the people
As a Social Miner and @DAO Labs contributor, I’ve seen firsthand how content, community, and consistency drive transformation.
From writing long-form articles and training others, to pushing the mission across platforms @DAO Labs is more than a community.
It’s a movement of builders, thinkers, and doers changing the #Web3 narrative.
💬 We turn ideas into impact, and passion into protocol alignment.
DAO Labs is where decentralization gets a human face — and I’m proud to be part of it.
🛠️ If we want ethical AI, we need to build it now — with memory, transparency, and freedom at its core.
Let’s lead that future. 🌍
#Web3 #AgenticAI #OpenSource
Why Autonomys Believes Ethical AI Must Be Open and Accessible
The interview with Todd Ruoff - #Autonomys CEO lays out an enticing vision for ethical, transparent, decentralized AI. Three overriding themes seem to prevail: the need for open source and on-chain transparency; #AutonomysNetwork ' agentic framework for #AI operationalization, accountability, and memory; and how decentralization of control over AI really matters in the real world.
As a social miner on @DAO Labs #SocialMining Galaxy, I will take you on a tour through his insights.
#AgenticAI $AI3
Open-Source and On-Chain Transparency: Foundations for Ethical AI
For Ruoff, the force behind Autonomys’ ethical AI approach is an unwavering support for open-source development. He argues that AI made in open source forces consumer trust that technology is free from hidden bias, and to emphasize, the code and training data are open for any kind of auditing. Such transparency is certainly absent in a closed-source system, which in reality is akin to a "black box" that might obscure or mute unethical behavior. Thus, Ruoff made sure that everything under Autonomys was open-source by recording AI interactions on-chain, embracing that every decision and process is visible and also immutable and verifiable. In a way, this type of transparency could be the very glue for public trust and holding the AI systems to the highest ethical standards.
Autonomys’ Agentic Framework: Accountability and Memory for AI Agents
Another standout theme is the innovative agentic framework developed by Autonomys to directly tackle the problems of AI accountability and memory. Ruoff explains that the AI agents developed by them, such as 0xArgu-mint, have an entire memory and reasoning process recorded on-chain. Thus, every interaction, every decision, and even the internal logic of the agent are open for review forever. This framework, in practice, allows for what Ruoff calls a "digital, immutable autopsy" upon the agent's behavior: the highest level of transparency and ability to investigate and learn from the behavior of AI in cases, especially when things go wrong. By providing AI agents with self-sovereign identities and permanent, auditable histories, Autonomys has set a standard for responsible AI to surpass.
Decentralizing Control: Safeguarding AI as a Public Good
Finally, Ruoff sought decentralization in addressing one of the AI industry's most pressing risks: concentration of power. According to him, the way things are now, only a few corporations call the shots in determining the direction and design of AI technologies. Autonomys arose against this backdrop with the alternative promise of being distributed and decentralized, so that no single entity (Autonomys themselves included) may ever assume unilateral control over the application of AI. Apart from granting access to AI, this approach also mitigates the likelihood of abuses of power, serving instead as a fertile ground for inclusiveness and friendly innovation. In Ruoff's own words, AI "should be a public good, not a corporate asset"—a vision that finds itself in many minds in the ever-climbing concern for digital sovereignty and privacy.
Conclusion
Ruoff's insights have illuminated a way forward, calling for the unfolding of open-source transparency, strong agentic architectures, and decentralization, which are no longer just technical choices but must be the ethical compass. His governance at Autonomys instills confidence that it must be possible to build AI systems that respond to safety, accountability, and serve the public interest.
As a social miner on @DAO Labs #SocialMining Galaxy, I will take you on a tour through his insights.
#AgenticAI $AI3
Open-Source and On-Chain Transparency: Foundations for Ethical AI
For Ruoff, the force behind Autonomys’ ethical AI approach is an unwavering support for open-source development. He argues that AI made in open source forces consumer trust that technology is free from hidden bias, and to emphasize, the code and training data are open for any kind of auditing. Such transparency is certainly absent in a closed-source system, which in reality is akin to a "black box" that might obscure or mute unethical behavior. Thus, Ruoff made sure that everything under Autonomys was open-source by recording AI interactions on-chain, embracing that every decision and process is visible and also immutable and verifiable. In a way, this type of transparency could be the very glue for public trust and holding the AI systems to the highest ethical standards.
Autonomys’ Agentic Framework: Accountability and Memory for AI Agents
Another standout theme is the innovative agentic framework developed by Autonomys to directly tackle the problems of AI accountability and memory. Ruoff explains that the AI agents developed by them, such as 0xArgu-mint, have an entire memory and reasoning process recorded on-chain. Thus, every interaction, every decision, and even the internal logic of the agent are open for review forever. This framework, in practice, allows for what Ruoff calls a "digital, immutable autopsy" upon the agent's behavior: the highest level of transparency and ability to investigate and learn from the behavior of AI in cases, especially when things go wrong. By providing AI agents with self-sovereign identities and permanent, auditable histories, Autonomys has set a standard for responsible AI to surpass.
Decentralizing Control: Safeguarding AI as a Public Good
Finally, Ruoff sought decentralization in addressing one of the AI industry's most pressing risks: concentration of power. According to him, the way things are now, only a few corporations call the shots in determining the direction and design of AI technologies. Autonomys arose against this backdrop with the alternative promise of being distributed and decentralized, so that no single entity (Autonomys themselves included) may ever assume unilateral control over the application of AI. Apart from granting access to AI, this approach also mitigates the likelihood of abuses of power, serving instead as a fertile ground for inclusiveness and friendly innovation. In Ruoff's own words, AI "should be a public good, not a corporate asset"—a vision that finds itself in many minds in the ever-climbing concern for digital sovereignty and privacy.
Conclusion
Ruoff's insights have illuminated a way forward, calling for the unfolding of open-source transparency, strong agentic architectures, and decentralization, which are no longer just technical choices but must be the ethical compass. His governance at Autonomys instills confidence that it must be possible to build AI systems that respond to safety, accountability, and serve the public interest.
當 AI 掌管資產與身份，FHE 是防止越權的唯一防線
#MindNetwork全同态加密FHE重塑AI未来
AI 不只是工具，正在變成行動者。要讓它可信，不是靠信任，而是靠它從頭到尾都看不見你的數據。
FHE不是AI的配件，而是它的保命符：Mind Network正在改寫遊戲規則
想像一個未來，你的 AI 助手不只是安排行程、整理郵件，而是能幫你報稅、跑 DAO、甚至執行鏈上交易。它知道你的資產、偏好、風格，甚至模擬你來幫你「做決定」。
這是「Agentic AI」時代。但問題來了：你敢把這些資料交出去嗎？
---
FHE 是什麼？不是加密的下一步，而是數據主權的轉捩點
全同態加密（FHE）允許在資料不解密的情況下進行計算，這意味著 AI 可以在看不見資料的情況下為你提供服務。
Mind Network 正在建設一個 抗量子攻擊的FHE基礎設施層，讓 AI 能真正做到「服務你，但不侵犯你」。
別人問怎麼讓 AI 跑得更快，Mind Network 問的是：「AI 能不能在不洩漏任何資訊的前提下運作？」
沒有 FHE，就沒有真正的 Agent AI
打造可信任 AI Agent 的五大條件：
1. 身份真實
2. 執行去中心化
3. 計算可驗證
4. 數據不可見
5. 授權可控
FHE 是支撐這五點的基礎設施。Mind Network 做到的不只是技術演示，他們的 AgenticWorld 已有超過 54,000 個 Agent、完成 120 萬小時訓練，這是真正的落地。
---
HTTPZ：重新定義互聯網信任的基礎協議
HTTPZ 是 Mind Network 正在推動的新協議，主打 Zero Trust 架構。它不相信任何節點，從底層保證資料與身份的安全，這將影響未來所有 Web3 互動模式、身份驗證、DAO、NFT 應用。
結語：FHE 不是錦上添花，是 AI 成為可信賴系統的根基
當你的 AI 開始為你執行金融操作、治理投票、甚至與其他 Agent 協作時，資料的隱私與控制權會比效率更重要。
Mind Network 正在做的，不只是 Web3 的延伸，而是讓 AI 能以安全、可信、去中心化的方式介入我們的生活。
這不是未來，是現在。
---
#MindNetwork全同态加密FHE重塑AI未来
#FHE
#AgenticAI
#MindNetwork
AI 不只是工具，正在變成行動者。要讓它可信，不是靠信任，而是靠它從頭到尾都看不見你的數據。
FHE不是AI的配件，而是它的保命符：Mind Network正在改寫遊戲規則
想像一個未來，你的 AI 助手不只是安排行程、整理郵件，而是能幫你報稅、跑 DAO、甚至執行鏈上交易。它知道你的資產、偏好、風格，甚至模擬你來幫你「做決定」。
這是「Agentic AI」時代。但問題來了：你敢把這些資料交出去嗎？
---
FHE 是什麼？不是加密的下一步，而是數據主權的轉捩點
全同態加密（FHE）允許在資料不解密的情況下進行計算，這意味著 AI 可以在看不見資料的情況下為你提供服務。
Mind Network 正在建設一個 抗量子攻擊的FHE基礎設施層，讓 AI 能真正做到「服務你，但不侵犯你」。
別人問怎麼讓 AI 跑得更快，Mind Network 問的是：「AI 能不能在不洩漏任何資訊的前提下運作？」
沒有 FHE，就沒有真正的 Agent AI
打造可信任 AI Agent 的五大條件：
1. 身份真實
2. 執行去中心化
3. 計算可驗證
4. 數據不可見
5. 授權可控
FHE 是支撐這五點的基礎設施。Mind Network 做到的不只是技術演示，他們的 AgenticWorld 已有超過 54,000 個 Agent、完成 120 萬小時訓練，這是真正的落地。
---
HTTPZ：重新定義互聯網信任的基礎協議
HTTPZ 是 Mind Network 正在推動的新協議，主打 Zero Trust 架構。它不相信任何節點，從底層保證資料與身份的安全，這將影響未來所有 Web3 互動模式、身份驗證、DAO、NFT 應用。
結語：FHE 不是錦上添花，是 AI 成為可信賴系統的根基
當你的 AI 開始為你執行金融操作、治理投票、甚至與其他 Agent 協作時，資料的隱私與控制權會比效率更重要。
Mind Network 正在做的，不只是 Web3 的延伸，而是讓 AI 能以安全、可信、去中心化的方式介入我們的生活。
這不是未來，是現在。
---
#MindNetwork全同态加密FHE重塑AI未来
#FHE
#AgenticAI
#MindNetwork
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