Uphold’s Martin Hiesboeck recently interviewed Paul Farhi, CEO of Solidus AI Tech, to discuss the company’s vision and innovations. The conversation covered Agent Forge, a no-code platform for building AI agents that can reason, act, and adapt — moving beyond simple chat models like ChatGPT.
They also explored the vital role of high-performance data centers in AI’s future. As AI models become larger and more complex, they require enormous computing power and secure infrastructure. Data centers provide the backbone for training, deploying, and running these advanced AI systems, ensuring reliability, speed, and scalability.
The interview highlights how combining smart AI tools with robust infrastructure is essential for advancing AI applications in real-world industries.
Autonomys is rapidly emerging as a defining force in decentralized AI, reshaping how intelligent agents operate across Web3. At its core is the Decentralized Service Network (DSN) — an open, modular infrastructure that lets AI agents access on-chain, off-chain, and cross-chain data autonomously. This isn’t just about AI on blockchain; it’s about creating agent-native economies where autonomous systems can transact, learn, and evolve in real-time without intermediaries.
What sets Autonomys apart is its innovation in agent memory — persistent, secure storage for AI agents, enabling them to retain context, strategies, and relationships across interactions. This unlocks sophisticated use cases like autonomous trading bots, decentralized research agents, and on-chain decision-making tools that adapt and improve over time.
Adding another layer of depth is Autonomys' collaboration with Secret Network, pioneering confidential AI services where agent logic and data remain private — a crucial breakthrough for sectors like DeFi, healthcare, and enterprise where data sovereignty matters.
Why does agent-native Web3 matter? Because the next era of decentralized systems isn’t just user-driven; it’s agent-powered. In a landscape where AI agents negotiate, verify, and transact autonomously, infrastructure like Autonomys’ DSN ensures these agents operate securely, verifiably, and in alignment with decentralized principles.
Autonomys isn’t theorizing the future — it’s building it. From autonomous DAOs to AI-powered DeFi vaults, its technology is already fueling real-world applications. It’s not just AI on-chain; it’s AI of the chain, native to the decentralized world it serves.
Jakartinho
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Autonomys: Where On-Chain Agents Get Their Superpowers
If Web3 had a control room for AI, Autonomys would be sitting in the captain’s chair. This isn’t just another “AI + blockchain” idea. Autonomys is building the deAI stack — a full-blown infrastructure for permanent memory, on-chain reasoning, and verifiable agentic behavior. Think: agents that remember, learn, and prove every move they make. Publicly. On-chain. At its core is the DSN — a high-throughput decentralized storage network — plus modular execution and the Auto Drive API. That’s where Auto Agents come alive. And now? They’ve gone secret. Meet Auto Secret Agent, a next-gen proof-of-concept built with Secret Network. It runs agents inside a TEE (Trusted Execution Environment), giving your AI private memory and cryptographic proof of behavior. Sensitive inputs stay protected, yet every output remains provably real. That’s composable, confidential AI. And it works today. Autonomys isn’t just building tools — it’s shaping what agent-native Web3 looks like. Transparent, privacy-respecting, and uncensored by default. Web3’s not ready for what’s coming. But Autonomys is.
Bridging to Solana marks an important milestone for $AITECH, opening new doors for both the community and the project’s long-term vision. At its core, a blockchain bridge allows assets and tokens to move seamlessly between different networks. By integrating with Solana — a high-performance blockchain known for its lightning-fast transaction speeds and minimal fees — $AITECH is positioned to deliver faster, more cost-effective AI services and decentralized applications to a wider audience.
Solana’s technical advantages are clear. With transaction finality in under a second and average fees as low as $0.00025, it outpaces many traditional Layer 1 networks. This means $AITECH users can interact with AI tools, stake tokens, or access services in near real-time without worrying about prohibitive costs. For developers and businesses building AI-driven dApps or infrastructure, this drastically improves user experience and operational efficiency.
Beyond speed and affordability, bridging to Solana taps into one of the fastest-growing ecosystems in crypto. With over 2,500 active developers and thriving sectors in DeFi, NFTs, and Web3 infrastructure, Solana offers deep liquidity and broader multichain access. This connection enhances $AITECH’s visibility and utility, allowing it to participate in cross-chain DeFi protocols, decentralized AI marketplaces, and collaborative AI research platforms.
Ultimately, this move reinforces $AITECH’s mission to become a scalable, utility-driven AI token for the decentralized economy. By leveraging Solana’s speed, affordability, and expanding network, $AITECH is well-positioned to scale its services, grow its user base, and lead AI innovation across the multichain landscape.
Why This Shift Matters — And How Solidus Is Leading the Way
The AI industry is advancing at record speed, but behind every breakthrough — from medical imaging to autonomous vehicles — lies a major challenge: securing reliable, high-performance, and scalable computing infrastructure. Accessing this kind of compute power remains a roadblock for many businesses, researchers, and innovators.
Solidus AI Tech is stepping in to solve this, blending enterprise-grade infrastructure with Web3 accessibility.
Solidus’ Web3-Powered HPC Data Center
Recently, Solidus launched a cutting-edge High-Performance Computing (HPC) Data Center built for AI workloads like deep learning, big data analytics, and advanced simulations.
This isn’t just about power — it’s about durability and reliability. In sectors like healthcare, defense, and financial services, system failures or inaccurate results aren’t an option. Solidus’ infrastructure delivers the uptime, speed, and consistency real-world AI applications require.
The Compute Marketplace: Decentralized AI Compute for All
Solidus is now preparing to launch its Compute Marketplace — a decentralized, on-demand platform where AI developers, researchers, and businesses worldwide can access HPC resources.
Why it matters: today, high-end AI infrastructure is largely controlled by big tech firms, priced out of reach for many. Solidus is changing that by democratizing access, enabling crypto payments, and offering transparent, decentralized services. It opens the door for startups, universities, and independent builders to compete on a global scale.
Why Durability & Reliability Are Essential
AI applications demand systems that run smoothly, without interruptions. Any failure could corrupt data, disrupt processes, or trigger costly errors. Solidus tackles this by combining enterprise-grade HPC, decentralized governance, and a flexible, high-uptime marketplace model.
Learn more here: https://aitech.io/compute-marketplace/
Big News for the Community — #SocialMiningV2 is here!
We’re excited to announce that Task Module Testing is now LIVE on X (formerly Twitter) as part of @DAO Labs #SocialMiningV2 rollout.
What does this mean? The Task Module is where community members can complete simple on-chain or social tasks — like following an account, sharing updates, or participating in ecosystem campaigns — and earn rewards in return.
This upgrade brings: ✅ Improved task creation and management ✅ Faster tracking of task completions ✅ New social engagement incentives ✅ A smoother, more interactive user experience
Why is this important? Social Mining is more than a rewards program. It’s how projects build active, engaged communities that directly contribute to ecosystem growth. By testing Task Module 2.0 on X, @DAO Labs is improving how users and contributors interact with campaigns, track their participation, and claim their rewards — creating a fairer and more transparent engagement model.
Jump in, test the module, and help @DAO Labs shape the future of community-powered Web3 engagement!
With the integration of Chainlink’s Cross-Chain Interoperability Protocol (CCIP) and Solana now in the mix, $AITECH is accelerating toward becoming a scalable, institutional-ready AI engine purpose-built for the Web3 era.
The recent activation of the Solana bridge marks a pivotal milestone in AITECH’s cross-chain strategy. By enabling seamless interoperability between Solana’s high-speed, low-cost network and the broader EVM ecosystem, this bridge unlocks new opportunities for developers to deploy AI-driven decentralized applications across multiple chains without compromising on speed or security. It’s a vital step in aligning AITECH’s infrastructure with the demands of a multichain future — one where performance and accessibility are non-negotiable.
At the core of this progress lies Solidus AI Tech’s long-term vision: to position #AITECH as the institutional-grade AI solution for decentralized networks. By embracing Chainlink CCIP, $AITECH ensures secure, reliable messaging and token transfers between chains, setting a robust foundation for scaling enterprise-grade AI services on-chain. The integration with Solana is not just a technical enhancement — it’s a statement of intent, demonstrating Solidus’ commitment to building AI infrastructure that meets the speed, interoperability, and security standards expected by institutions and developers alike.
For developers, this opens the door to creating AI-powered dApps with unprecedented flexibility, harnessing both Solana’s efficiency and EVM’s versatility. For institutions, it signals the arrival of a scalable, compliant-ready AI engine capable of operating across diverse networks. And for the global Web3 community, it represents a leap toward decentralized AI services that are accessible, secure, and future-proof.
As #SolidusAI Tech continues to execute on its cross-chain roadmap, #AITECH is cementing its role as a foundational AI layer for the decentralized economy — ready to power the next generation of intelligent, interoperable Web3 applications.
Why Fireblocks Integration Makes $AITECH “Infrastructure-Ready” for the AI Economy
In today’s rapidly evolving Web3 landscape, infrastructure matters. And when it comes to institutional-grade digital asset infrastructure, Fireblocks is the undisputed leader.
With a network of over 2,000 institutional clients — including global banks, asset managers, crypto exchanges, and fintech companies — Fireblocks has built a reputation for delivering secure, scalable, and compliant blockchain operations at scale. Their infrastructure secures trillions of dollars in digital asset transfers annually and underpins the backend of countless enterprise-grade crypto services.
Institutional Trust Meets Seamless Blockchain Compatibility Fireblocks isn’t just about security — it’s about trust and interoperability. Its platform is designed to support a wide range of digital assets, from native blockchain tokens to ERC-20 standards like $AITECH.
This means institutional investors, custodians, and AI companies can now safely custody, transfer, and manage $AITECH tokens within Fireblocks’ secure environment — alongside other major assets like #ETH, USDC, and #BTC.
By leveraging MPC (Multi-Party Computation) wallet technology, Fireblocks ensures no single point of failure exists within its custody system. This level of operational security is a baseline expectation for institutional players, and now $AITECH meets that threshold.
Why $AITECH is Now “Infrastructure-Ready” With this integration, $AITECH steps beyond being just another AI-focused token — it’s now positioned as infrastructure-ready for the AI-driven Web3 economy.
As AI applications increasingly move on-chain, there’s a growing demand for secure, scalable, and compliant digital assets that can integrate seamlessly with enterprise custody solutions, DeFi protocols, and cross-chain environments.
#AITECH, backed by Fireblocks’ infrastructure, is now prepared to meet that demand.
MPC (Multi-Party Computation) is a cryptographic technique that allows multiple parties to compute a result together without revealing their individual inputs. In Web3, it’s gaining momentum for secure key management, decentralized signing, and private decision-making.
When applied to on-chain agents, DAOs, and DeFi, MPC unlocks smarter, safer, and more autonomous systems.
For DAOs, current governance relies on token voting or multi-sigs, which can be slow and exposed. MPC enables secure, private aggregation of votes and preferences without revealing individual choices. It also allows DAOs to run collective computations — like treasury risk analysis — off-chain, then execute the result on-chain. Treasury operations can be decentralized too, with members co-signing transactions via MPC without exposing private keys.
On-chain agents — autonomous bots or AI systems — are often limited by security and privacy constraints. MPC allows agents to collaborate off-chain, securely process private data, and then act on-chain as a collective. This enables smarter decentralized apps and cross-chain coordination without a trusted middleman.
In DeFi and cross-chain governance, MPC removes reliance on risky bridges or centralized relayers. Governance decisions can be computed and signed via MPC, executed trustlessly on multiple chains. Autonomous DeFi protocols can manage complex, multi-chain strategies without exposing positions or internal logic.
In short: MPC is key infrastructure for privacy-preserving, decentralized coordination — powering smarter DAOs, collaborative on-chain agents, and secure, autonomous DeFi systems that safely operate across chains. #AutonomysNetwork $AI3
Autonomy’s Reward Experience: Unlocking Growth Through Community
#Autonomy is redefining how communities engage and grow by turning participation into real opportunities. At its heart is a dynamic rewards experience that goes beyond points and badges — it’s about empowering members to directly benefit from their involvement.
The system is simple: by contributing to the Autonomy ecosystem — whether through staking, supporting projects, participating in governance, or engaging in campaigns — users earn rewards. But what makes Autonomy stand out is how these rewards are structured and spent.
The Autonomy Reward Store isn’t a typical prize shelf. It offers curated, meaningful opportunities: early access to new projects, exclusive NFTs, governance perks, and ecosystem tools that can genuinely accelerate personal and community growth. This creates a feedback loop where active participation fuels both individual advancement and the overall ecosystem’s momentum.
Why is this important? In most decentralized projects, community members often feel detached from real value creation. Autonomy flips that dynamic by making its users stakeholders in growth, ensuring rewards have utility, and providing tools that let users directly shape the future of the network.
Beyond material perks, the rewards experience fosters education, collaboration, and long-term alignment. It’s not just about earning — it’s about learning how decentralized systems work, participating in decisions, and accessing resources that open doors to new Web3 opportunities.
In short, Autonomy’s reward-driven community model creates a sustainable engine for both personal and collective advancement. It turns passive supporters into active builders, offering tangible benefits while strengthening the network’s resilience and adaptability.
This is what makes #Autonomy unique: a community-centric rewards system designed not just to incentivize activity, but to unlock lasting value for everyone involved.
This is my task submission as a social miner @DAO Labs below! #AITECH Goes Big: What a U.S. Mega Listing Means for Solidus AI Tech
Solidus AI Tech is on the brink of a transformative milestone as it prepares for a highly anticipated listing on one of the largest digital trading platforms in the United States. With over 10 million active users and handling more than $40 billion in trading volume, this platform is a major player in the global crypto landscape — offering unrivaled market access and exposure for fast-rising digital assets.
For AITECH, this isn’t just a routine listing; it’s a decisive step in its strategic growth journey. By entering one of the world’s most influential and liquid crypto markets, Solidus AI Tech will dramatically increase the project’s visibility, opening the doors to a broader and more diverse investor base. From seasoned institutional players to retail traders, this U.S. listing positions AITECH to capture attention from every corner of the market.
Beyond visibility, the listing promises to significantly enhance liquidity — a key factor in driving healthy price discovery, reducing volatility, and encouraging more active trading. It also sends a powerful signal of confidence to the wider blockchain community, validating AITECH’s potential as a serious player in the AI-powered blockchain infrastructure space.
This move is expected to serve as a catalyst for new partnerships, ecosystem growth, and global adoption initiatives. As Solidus AI Tech continues to expand its footprint, this listing marks a critical step toward its long-term vision of delivering advanced AI solutions through secure, scalable, and sustainable infrastructure.
In short: #AITECH is entering a new chapter — one where it stands shoulder to shoulder with the industry’s biggest names, and the global crypto stage is ready to take notice.
AITECH x Fetch.ai: Why This Decentralized AI Partnership Matters
The recent partnership between Solidus AI Tech and Fetch.ai marks a meaningful step for decentralized AI ecosystems. By integrating Fetch.ai’s ASI-One Large Language Model (LLM) into the $AITECH AI Marketplace, both projects expand their capabilities and help shape the future of AI-powered Web3 infrastructure. What is ASI-One and How Does It Compare? ASI-One is Fetch.ai’s proprietary LLM, designed specifically for decentralized, agent-based systems. Unlike general-purpose models like ChatGPT or decentralized LLM networks like Bittensor’s TAO-based system, ASI-One focuses on powering autonomous economic agents — AI entities that can transact, negotiate, and optimize services in decentralized environments. It’s tailored for economic reasoning, decentralized deployment, and decision-making frameworks, making it highly distinct from other decentralized AI models that prioritize text generation or inference scaling. How Does the Integration Benefit AITECH AI Marketplace Users? With ASI-One integrated, $AITECH Marketplace users now gain access to advanced agent-building tools capable of automating Web3 tasks, executing decentralized transactions, and enhancing AI-powered services. Developers can build intelligent agents for DeFi trading, NFT marketplaces, decentralized logistics, or energy grid management without needing to design complex AI infrastructure from scratch. It dramatically expands the scope and value of AI tools available within the AITECH ecosystem. What Could Future Collaboration Look Like? This integration opens doors for deeper partnerships between Solidus and Fetch.ai. Potential future initiatives could include co-deploying decentralized AI services, creating interoperable multi-agent ecosystems, or jointly managing DePIN (Decentralized Physical Infrastructure Networks) and RWA (Real World Asset) applications powered by intelligent agents. Standardizing interoperability between agent networks could lead to more connected, decentralized AI marketplaces. @DAO Labs #SocialMining
Do you have your $AITECH holdings ready now? Time to grab more before the U.S. rush begins!
Solidus Ai Tech is about to hit a major milestone — launching on one of the largest U.S. digital trading platforms, home to over 10 million users and $40+ billion in trading volume.
This isn’t just another listing — it’s a strategic move with far-reaching implications for $AITECH adoption, market visibility, and long-term project growth.
Why This Matters
In crypto, access is everything. Being listed on a major, regulated U.S. exchange means:
Immediate exposure to millions of active investors and traders. Easier access to buy, sell, and hold $AITECH for both retail and institutional participants. Enhanced liquidity, making transactions faster and more efficient for everyone involved. It also unlocks legal and regulated market opportunities in the U.S. — the world’s largest capital market for digital assets. This instantly strengthens $AITECH’s credibility and positions Solidus Ai Tech among serious, compliance-ready projects.
Global Reach and Network Effect
This platform also serves users in 150+ countries, massively expanding $AITECH’s international presence. As AI infrastructure and decentralized compute become global priorities, this listing helps position Solidus as a leading player in a fast-emerging market category.
More listings = more visibility = network effects that accelerate token adoption, market participation, and ecosystem growth.
The Bigger Picture
This milestone aligns with Solidus’ long-term mission: to build AI-driven, decentralized infrastructure for Web3 — and to ensure it’s accessible to a truly global audience.
A major U.S. platform listing is the next logical step in making $AITECH a mainstream digital asset in both the AI and crypto markets.
This is my task submission as a social miner @DAO Labs below! Solidus AI Tech Takes Center Stage at the BNB AI #Hackathon: Bridging AI and #Blockchain for Real-World Impact
Solidus #AI Tech is leading the way at the BNB AI Hackathon, a global competition challenging developers to create on-chain AI agents with real-world utility in analytics and automated trading. This event invites innovators worldwide to explore how #AI can be fully integrated on blockchain networks, unlocking new possibilities in decentralized finance (DeFi).
With over $10,500 in prize money, participants are encouraged to build autonomous AI agents that analyze complex data, interpret market trends, and execute trading strategies — all transparently and securely on-chain, without relying on off-chain data or centralized systems. This represents a major advancement in decentralized AI applications, enabling highly scalable and tamper-proof tools with unmatched autonomy and precision.
A key feature of the hackathon is Agent Forge, Solidus #AI Tech’s flagship AI launchpad. Agent Forge simplifies deploying, managing, and scaling intelligent agents as smart contracts. It allows developers to integrate advanced AI models that work seamlessly with blockchain data, ensuring transparency, security, and efficiency. This platform empowers developers to build powerful AI-driven analytics and trading solutions directly within blockchain ecosystems, transforming the DeFi landscape.
The BNB AI Hackathon highlights Solidus AI Tech’s vision to fuse AI’s transformative power with #blockchain’s decentralization and security. Running AI agents natively on-chain introduces trustless automation and new financial tools resistant to censorship and manipulation. This event not only offers exciting prizes but also fosters innovation that will shape the future of AI-powered decentralized applications.
Autonomys is thrilled to officially announce its partnership with Fetch.ai — a major step forward for both platforms as we shape the future of decentralized, autonomous AI!
As part of this collaboration, Fetch.ai’s proprietary ASI-One LLM is now fully integrated and live on the AITECH AI Marketplace. This powerful, agent-optimized large language model is purpose-built to enable real-time, intelligent decision-making within AI agents, opening up new possibilities for developers, enterprises, and innovators alike.
What does this mean for our community? You now have direct access to cutting-edge AI tools for building, deploying, and scaling intelligent agents — without the complexity of managing infrastructure or hosting your own models. Whether you’re automating workflows, creating intelligent assistants, or building decentralized applications, ASI-One delivers high-performance reasoning at a lower cost and faster speeds.
And this is just the beginning. Our teams are working closely to unlock new AI solutions, integrations, and interoperable tools across both ecosystems. Together, we’ll continue to push the boundaries of what’s possible in the AI agent economy — bringing powerful, decentralized AI capabilities to everyone.
Stay tuned — the next wave of AI innovation is here, and it’s happening on #AITECH x Fetch.ai.
This is my task submission as a #Social miner @DAO Labs below ! Castles of Trust: Exploring Dr. Chen Feng’s Vision for Confidential AI and TEEs
In an era where artificial intelligence systems increasingly touch sensitive areas of our lives — from healthcare diagnostics to financial modeling to national security — the question of trust in AI infrastructure is no longer theoretical. At the heart of this evolving conversation stands Dr. Chen Feng, a leading voice in privacy-preserving AI, proposing a future where trusted execution environments (TEEs) act as digital fortresses — or as he calls them, "Castles of Trust."
The Problem: #AI in a Distrustful World Modern AI models are often deployed on cloud infrastructure controlled by third parties. While the models themselves might be secure, the environments where they run are not inherently trusted by users, enterprises, or regulators. Private data processed by AI can be intercepted, misused, or leaked — intentionally or accidentally.
Trusted Execution Environments (TEEs): The Digital Castle Walls TEEs are isolated hardware environments where code and data are protected with end-to-end encryption, inaccessible even to system administrators or cloud providers. Think of them as vaults inside servers, where AI models can securely process sensitive information without exposing it to the outside world.
Conclusion
In Dr. Chen Feng’s vision, Confidential AI is not a niche enhancement, but the necessary foundation for AI’s next chapter. #TEEs, as Castles of Trust, can empower AI systems to operate safely in untrusted environments while preserving the confidentiality, integrity, and auditability that modern societies demand.
As AI continues to expand into domains where trust is non-negotiable, the significance of this architectural shift cannot be overstated. The future of AI might not just be bigger and faster — but also more private, more secure, and more trustworthy.
As #SocialMining writer @DAO Labs below is my write, sit back and read up my article! As AI systems grow in influence, the question of who controls them and how they make decisions becomes existential. Proprietary, closed-source AI models can hide biases, manipulations, or opaque decision-making processes behind layers of corporate secrecy. Open-source AI and on-chain transparency address this in three key ways:
Auditable Decision-Making: With open-source code and on-chain logs of actions or model state changes, anyone can independently verify how an AI arrives at its conclusions. This prevents hidden agendas, ensures fairness, and protects against harmful manipulation. Community Governance & Checks: Open-source systems allow researchers, ethicists, and developers to collectively review, flag, and improve AI models. This distributed accountability acts as a safeguard against the concentration of AI power in the hands of a few actors.
How Autonomy’s Agentic Framework Addresses AI Accountability and Memory
Autonomy’s agentic framework proposes a model where AI agents operate not as monolithic, stateless algorithms, but as accountable, stateful entities with memory and verifiable action histories. Here’s how it addresses key #AI governance challenges:
On-Chain #Agent Memory: Agents log critical interactions, decisions, and state changes on-chain. This allows stakeholders to reconstruct the decision history of an AI agent — crucial for auditing, dispute resolution, or improving performance. Composable #Autonomy with Rulesets: Autonomy enables AI agents to interact through modular, transparent rulesets — meaning you can clearly define and inspect the boundaries and permissions each AI has within a network. No black-box behaviors.
The Real-World Importance of Decentralizing Control Over AI
Concentrating AI capabilities in the hands of a few companies or governments creates risks we’ve already seen echoes of:
Censorship and algorithmic manipulation of information Economic concentration through AI-enabled monopolies. @AutonomysNet @TheDAOLabs
#Autonomys has partnered with Protofire to develop a custom Blockscout front-end tailored specifically to the unique requirements of the Autonomys ecosystem. Blockscout is an open-source blockchain explorer widely used for Ethereum-compatible (EVM) networks, enabling users and developers to inspect on-chain activity such as transactions, smart contract deployments, and block data. However, the generic Blockscout interface doesn’t fully meet the specialized needs of Autonomys, which focuses on decentralized AI applications and autonomous on-chain agents.
Protofire’s expertise in blockchain infrastructure and developer tooling has enabled the creation of a bespoke Blockscout explorer customized to support Autonomys’ AI3.0 vision. This custom front-end offers a modular, user-friendly interface that provides deep transparency into the Autonomys blockchain. Developers and users can easily track real-time transaction activity, review smart contract deployments, and monitor validator performance and network health metrics.
One of the key benefits of this collaboration is the incorporation of #AI-specific data views and agent activity logs, which are crucial for debugging and analyzing AI-powered smart contracts and autonomous agents operating on-chain. The modular nature of the UI also allows for future expansion, such as integrating decentralized AI data marketplaces or telemetry from AI agents.
Furthermore, this implementation simplifies smart contract verification by allowing developers to publish and verify their contract source code directly through the explorer. This transparency enhances security and builds trust within the community by promoting open-source, auditable contracts. In summary, the #Protofire x #Autonomys custom Blockscout front-end is a foundational infrastructure upgrade that enables greater transparency, developer-friendly tools, and AI-specific insights, helping Autonomys scale as a secure, efficient, and interoperable decentralized AI ecosystem.
Autonomys made waves at Consensus 2025 Toronto, solidifying its position as a leader in the rapidly emerging field of verifiable, on-chain AI infrastructure. The team stood out not just through bold ideas, but by delivering working demos and engaging deeply with the Web3 and AI communities on the future of decentralized intelligent systems.
Key moments from the event included:
1. On-chain live demo of the Auto Agents Framework Autonomys showcased a fully operational demonstration of its Auto Agents Framework, featuring AI-driven agents executing real-time, on-chain transactions, querying decentralized data sources, and interacting with smart contracts autonomously. The demo served as a proof of concept for how AI can perform complex, trustless operations entirely within blockchain ecosystems — without intermediaries or centralized infrastructure.
High-level strategy sessions with developers and researchers Alongside its technical showcases, Autonomys facilitated strategic discussions with developers, AI scientists, and decentralized protocol teams. These sessions tackled key topics such as:
Protocol standards for agent-to-agent communication Building tamper-proof, persistent memory systems for AI agents Designing governance and safety layers for autonomous AI in open systems The conversations reflected a growing consensus that Web3-native AI must be open, interoperable, and community-driven.
Advocating for permissionless AI execution and composability A central message from Autonomys throughout Consensus was the need for AI systems that can operate freely and integrate natively across decentralized networks. They stressed the importance of building modular AI frameworks that can plug into DeFi protocols, storage layers, governance systems, and data feeds — unlocking new possibilities for composable, AI-powered decentralized applications.
Rallying the community for open collaboration Autonomys closed out its Consensus presence by issuing a clear call to action: decentralized AI infrastructure must be built together.
$AITECH has appeared on Binance Futures NEXT" means that the token has officially shown up in Binance’s Futures NEXT section — a dedicated area within the Binance Futures platform where the exchange highlights and tracks tokens it’s considering for potential futures listings. While this isn’t an immediate confirmation of a futures contract going live, it’s a strong signal that Binance is actively evaluating $AITECH for futures market integration based on factors like trading volume, liquidity, market interest, and project fundamentals.
Being listed on Futures NEXT typically draws increased attention from traders and the broader crypto community because it often precedes a formal futures listing. Futures listings are significant because they allow traders to speculate on an asset’s price movement using leverage, which can result in increased trading volume, volatility, and overall market awareness for the token.
And your mission” acts as a rallying call to the $AITECH community, traders, and crypto enthusiasts. It suggests that now is the time to:
Stay vigilant for official announcements or further updates from Binance. Monitor $AITECH’s market activity closely as futures listing speculation can influence price movements and trading patterns. Engage with the community by spreading awareness, sharing updates, and building anticipation for what could be a pivotal listing event. Strategically position themselves based on their trading or investment outlook, as futures listings often create new opportunities for both spot and futures traders. This isn’t just about hyping the news — it’s about encouraging proactive participation and awareness within the ecosystem, keeping the community connected and prepared for a potential market-moving announcement.
Solidus Ai Tech Officially Joins the IBM Partner Plus Program — A Major Leap Toward Enterprise AI Adoption
We’re excited to announce that Solidus Ai Tech has officially become a member of the prestigious IBM Partner Plus Program — a transformative milestone that significantly accelerates the company’s ability to scale AI infrastructure and expand enterprise-level adoption.
What is the IBM Partner Plus Program? The IBM Partner Plus Program is an elite ecosystem of technology innovators, service providers, and solution developers who collaborate closely with IBM to deliver cutting-edge enterprise solutions. Membership in this program provides partners with enhanced access to IBM’s technology portfolio, training, support, and go-to-market resources.
Why This Partnership Matters for Solidus Ai Tech Accelerated Innovation: As part of the Partner Plus Program, Solidus Ai Tech gains privileged access to IBM’s advanced AI tools, cloud infrastructure, and development resources — empowering rapid innovation and deployment of scalable AI solutions.
Enterprise-Grade Capabilities: This partnership enables Solidus Ai Tech to build and deliver solutions that meet the stringent requirements of enterprise clients, including security, compliance, and performance standards. Expanded Market Reach: Leveraging IBM’s global network and sales channels, Solidus Ai Tech can now connect with a broader enterprise customer base, unlocking new opportunities for adoption and growth.
Strategic Support: With direct IBM technical support, training, and co-marketing opportunities, Solidus Ai Tech is well-positioned to accelerate time-to-market and strengthen its competitive advantage.
What’s Next? Joining the IBM Partner Plus Program marks the beginning of an exciting new chapter. Solidus Ai Tech is set to:
Integrate deeper with IBM’s AI and cloud platforms, Co-develop innovative enterprise solutions, Expand partnerships and customer engagements worldwide, And further solidify its position as a leader in AI-driven technology