SocialMining

The development team at keeps monitoring as part of the social mining program led by DAOLabs. We can see this week that markets are responding slowly and in an organized way by returning to lower support points.
Since last week, the failure to recover the prior level caused the asset to drop and reach support once more. Currently, since there isn’t a clear reversal signal, a further pull-down could be possible, mainly with unfavorable economic conditions. Because of the previous support level, the current resistance zone means that new attempts at breakthroughs are significant.
According to #SocialMining , #WAXHub participants pay attention to short-term gains as well as user actions, changes in governance, and all kinds of updates in the ecosystem. Looking at things from this approach is very helpful in differentiating important signals from random fluctuations.
Since TA alone is insufficient, experts are relying on live market data to decide whether the tight spread we see now is a sign of accumulation or lack of demand. As $WAXP ’s position is still tricky, continued observation of Social Mining results will indicate if it can continue to advance or if it will fall once more.

$POL has been under close review by @Polygon on and @DAO Labs within the #SocialMining framework, especially as it maintains its footing above support levels. The asset remains range-bound, suggesting a continuation of consolidation despite a wider market slowdown.

Following last week’s accumulation analysis, the price has not breached the key lower boundary. This resilience indicates that either demand is passively present or selling pressure is insufficient to push it lower. For Social Mining contributors, the scenario provides a textbook opportunity to assess how technical stability interacts with sentiment decay.
Market recovery could trigger a more decisive test of upper resistance zones. When buyers regain confidence, momentum tends to follow more easily from established accumulation structures. On the other hand, if macro uncertainty deepens, the likelihood of a retracement toward historical support grows stronger.
In the context of DAO Labs' collaborative environment, participants are encouraged to track these pivot zones around $POL using real-time community insights and comparative data sets. By doing so, the #PolygonHub reinforces its research-driven approach, validating how minor price behaviors reflect broader market structures - an integral part of decentralized knowledge production through Social Mining.

The recent improvements at RWAINC, showed by #RWAInc and @DAO Labs using #SocialMining , take place on a weekly basis and allow everyone in the community to follow along and stay informed. Upgrading products and entering partnerships are evidence of how #RWA is carried out.
RWA Inc’s Investor Platform which debuts this week, is a major point of interest due to its user-friendly design and clear data. This progress will prepare for the launch of the Private Investor Platform that will handle over $9M worth of verified deals. Users of Social Mining can follow how this capability helps people grow their investment routes and use various tokens.
This funding from Google Cloud makes it easier for RWA Inc.’s infrastructure to operate stronger data and AI systems. Thanks to a new collaboration with Amano Invest, an RWA marketplace licensed in Singapore, buying and selling Dubai assets through tokens is now being developed.
Operationally, the company is now tracking over 400 KPIs, working on 10 advisory deals and is almost done with the DEX integration plan. When analyzing projects, Social Mining analysts rely on real data such as re-engagement focus and referrals, for doing their own research and helping with decentralization.
As licensing is progressing and new IDOs join the scene, DAO Labs’ approach of using the community’s insights still matches RWA Inc’s regular weekly updates.

and are transforming interaction through by adding a Storage Building and Data Shard features, asking users to view the system design and share important information on the
Currently, players can store and organize Data Shards in the newly available Storage which scales up to level 20. Based on rarity, each stack has a different limit which fits well with long-term planning. The added systems give more value to earlier research, since exploring the world now needs specific technologies and rewards randomly.
The lack of an SELL option for the disabled group signifies that economic planning is arriving in the ecosystem. Those in the community are now urged to foresee potential issues, look at possible future shortages and understand the likely reactions of the market after activation. The findings from these tests are very helpful for DAO Labs as a whole.
With the addition of Scripts and Firewall buildings, contributors see a preview of what’s ahead, but the story doesn’t progress too fast. The approach manages to blend expectations with practical facts and acts as a test ground for Social Mining ideas in the realm of imagination. With every update, AITECH shows players that staying involved outside of the gameplay can help others learn and become more strategic in the Solidus Hub.

The and the have received attention again as underlines the persistent strength above major support. ’s strength is showed by how it has remained above an important resistance after the market pullback.
’s short-term framework is still established by the consolidation zone. Although the Bitcoin asset moved down within a particular region, it is still under accumulation by investors. It indicates that bearish sentiment is slowing and some buyers are swarming in. That means if there are new positive factors, the market could move up to the orange zone very quickly.
The use of #TCHubmakes this framework most valuable to social mining contributors tracking $TON . It makes it possible for others to discover more about market behaviors and think about the choices that lead to wealth. Should an asset drop below its support, this would prompt a change in analysis — from risk appreciation to coming up with new strategies.
The role of Social Mining does not change in both cases: to keep producing, review and distribute knowledge based on what’s happening in the moment. $TON ’s structure carries on providing a useful observation point for valuable and useful content in the DAO ecosystem.

While markets were busy with #TrumpTariffs , an unexpected debate between Trump and Elon took everyone by surprise. This also dealt a heavy blow to #bitcoin . Today on #Binance the cryptos getting the most attention were $BTC , $WCT and $DEGO .
I think it’s best not to keep checking prices until things calm down 😊. Meanwhile, I’ll share my impressions from evaluating the interview with Autonomys Research Head and UBC Professor Dr. Chen Feng about the latest developments in the #AI world.

Dr. Feng’s warning—“If an AI agent is making a decision based on someone’s data, privacy cannot be up for negotiation”—shows why strong privacy is essential. In Autonomys, that promise comes from Trusted Execution Environments, and social miners and @DAO Labs focus on sharing and supporting that vision.

TEE advantages and community trust

Dr. Feng compares a TEE to a fortress:

“A TEE is like a traditional castle with armored walls, arrow slits, and watchtowers. Whatever happens inside, no one outside can see it. But the gate only opens with a signature, and no one can come or go without permission.”

In practice, a TEE is a secure enclave inside the processor. Even the operating system cannot touch what happens inside. For a social miner, knowing that every node runs inside this protected environment is a powerful reassurance.

Attestation ensures transparency. Dr. Feng explains:

“To be sure the code inside a TEE is really the correct version, we use something called attestation. A node joins the network by first presenting a signed hash of the software running inside. Other participants check that value and ask, ‘Is this approved code?’”

That means anyone can verify that a node truly runs in a TEE. Social miners and DAO Labs simply share this information, helping others spot which nodes to trust.

Dr. Feng also highlights performance:

“An autonomous logistics agent can process truck sensor data inside a TEE and perform route optimization right away. Trying that with homomorphic encryption, you might only get your route results the next day.”

Because TEEs deliver speed and privacy together, social miners know the project is built on solid ground—secure, efficient AI services that respect data privacy.

Why TEEs feel more accessible

Dr. Feng notes:

“Writing ZKP protocols, building R1CS circuits, optimizing MPC protocols, or making homomorphic additions and multiplications for FHE requires very specialized expertise. It’s asking a lot of AI engineers to dive into all that.”

By contrast, TEEs let developers use familiar tools to protect data. Social miners don’t need to learn advanced cryptography. Their role is simply to spread the word about how Autonomys uses TEEs to keep data safe.

Autonomous agents and the role of a supportive community

In Autonomys, autonomous agents handle tasks—like logistics or financial analysis—inside the TEE. When an agent finishes, it posts proof on the blockchain that it ran securely. Dr. Feng points out:
“A financial analysis agent processes a user’s transaction data inside the TEE to keep privacy intact and then records the result on the blockchain. Everyone on the network can trust the outcome, knowing it was generated inside a TEE, but the raw data never leaves.”

Social miners and DAO Labs don’t build or run these agents themselves. Instead, they highlight this functionality, helping newcomers understand why TEEs matter and how Autonomys keeps data private.

Dr. Feng emphasizes the need for collaboration across the ecosystem:

“You cannot treat TEEs as just a security layer. All participants, including hardware makers, protocol developers, regulators and AI engineers, must build together.”

DAO Labs and social miners amplify this call by sharing updates, organizing community discussions, and ensuring everyone sees how TEEs, privacy, and accountability fit together.

Autonomy’s TEE-based approach creates a strong foundation of privacy and performance. #SocialMining and DAO Labs play a vital role as a loyal community: they spread accurate information about how TEEs work, why privacy is nonnegotiable, and why the project deserves support. By keeping everyone informed, they help build trust and excitement, ensuring Autonomys grows into a trusted network for privacy-focused, autonomous AI.

In a world where AI agents are becoming smarter, faster, and more independent, the question of trust is no longer philosophical—it’s infrastructural. At the heart of this conversation is Dr. Chen Feng, Head of Research at Autonomys Network and a Professor at the University of British Columbia.
In his recent podcast appearance on Spilling the TEE, Dr. Feng painted a compelling vision for the future of Confidential AI, with a powerful metaphor: Trusted Execution Environments (TEEs) are the castles of digital trust—hardware fortresses that secure AI logic and data from prying eyes.

🧠 What are TEEs—and Why Do They Matter?
Trusted Execution Environments (TEEs) are secure zones within a processor that isolate and protect computations. Unlike cryptographic methods such as Zero-Knowledge Proofs (ZKPs), Multi-Party Computation (MPC), or Fully Homomorphic Encryption (FHE)—which often come with performance trade-offs—TEEs offer near-native execution speeds with minimal overhead.
As Dr. Feng explains:
> "ZKPs and MPC are great for specific use cases, but when we want AI agents to act in real time—on the edge, in the wild—TEEs give us both performance and confidentiality."
That’s why #AutonomysNetwork integrates TEEs at the core of its decentralized AI infrastructure. The goal? To enable AI agents that are autonomous, privacy-preserving, and verifiably secure.

🔐 Confidentiality is Non-Negotiable
In the emerging agent-driven Web3 world, data isn’t just valuable—it’s volatile. Dr. Feng stresses that privacy isn't a nice-to-have—it’s a requirement.
> “Without confidentiality, autonomy is just a façade,” he notes. “TEEs provide the hardware root of trust to make autonomy real.”
With TEEs, AI agents can process sensitive data—such as financial inputs, personal identifiers, or proprietary models—without leaking it or becoming vulnerable to tampering. That’s the kind of assurance the decentralized future demands.

🔎 Solving the Oracle Problem with Verifiability
Another key insight from Dr. Feng? TEEs help solve the Oracle Problem—how to trust that AI outputs aren’t manipulated. TEEs support remote attestation, allowing anyone to verify that code executed securely, without interference.
This verifiability builds the foundation for agent accountability—a concept as crucial to Web3 as decentralization itself.

🌐 A Word on Engagement: What's Trending?
While we build the foundation for trusted AI with TEEs, the broader Web3 space is also buzzing. To capture the energy and eyes of the crypto community, here are a few trending tokens you might want to watch:
Solaxy ($SOLX) – A Solana-based project offering high-speed Layer 2 functionality and strong staking appeal.
Mind of $PEPE – A meme-meets-AI coin with a vibrant community and cultural momentum.
$DOGE – Making noise for its scalability focus and rapidly growing ecosystem.
Best Wallet ($BEST) – Reinventing the crypto wallet experience with social and utility-based features.
These projects reflect the dynamic innovation happening alongside the core infrastructure developments that leaders like Autonomys are driving forward.

✊ As a proud Social Miner at the AutonomysNet Social Mining hub powered by @DAO Labs ...
…I’m inspired by the depth of Dr. Feng’s vision. This isn’t just another Web3 trend—it’s the future of how we trust machines. TEEs, as the backbone of Confidential AI, are helping usher in a new era where intelligent agents can act independently and securely—without compromising the user or the system.

🧩 Final Thought: Building Castles in Code
In the age of autonomous agents, trust is everything—and Dr. Chen Feng’s castles of trust aren’t just a metaphor. They’re real, they’re functional, and they’re already being built at Autonomys.
The future belongs to systems that don’t just compute, but compute confidentially, verifiably, and autonomously.
Welcome to the age of ConfidentialAI. 🧠🔐
#ConfidentialAI #AI3 #Web3 #SocialMining

We spend a lot of time talking about what AI can do. But not nearly enough time asking what it should do.

AI is no longer just a tool—it’s becoming something more. These systems are starting to make decisions, act on our behalf, even negotiate for us. But here’s the catch: how do we know they’re actually doing what we want, and not just following the agenda of whoever built them?

That’s where Autonomys comes in—with something they call Confidential AI. And at the heart of it is a powerful piece of tech: Trusted Execution Environments, or TEEs.

Dr. Chen Feng, Head of Research at Autonomys, said something that really stuck with me:

“Privacy is not an afterthought. It is architecture.”

That line changed how I think about AI. Privacy isn’t just a setting to toggle on—it should be part of how we build these systems from the ground up.

So what are TEEs? Imagine a little digital vault built right into your computer’s chip. It’s a protected space where sensitive data gets processed and no one, not even the cloud provider or system admin, can peek inside. Whatever happens in there, stays there. No leaks. No backdoors.

Sure, there are other privacy tools like zero-knowledge proofs and homomorphic encryption but let’s be real: they’re often slow, complex, and not easy to scale. TEEs, on the other hand, already exist in modern hardware. Developers can start using them right now to protect your personal data, your choices, your autonomy.

And here’s the part that really hits home: this commitment to privacy? It reminds me a lot of why many of us believed in Bitcoin in the first place. Not just for the price charts—but for what it represented. Sovereignty. Control. Freedom.

In the same way $BTC gave people financial power, TEEs can give us back control over our digital identities in this new AI-driven world.

As a Social Miner with @DAO Labs DAOLabs, I see it as our role to highlight projects that actually stand for something. Autonomys isn’t just chasing smarter AI—it’s building AI we can trust. And that’s what’s going to matter most.

Because in the end, the strongest AI won’t be the one that knows everything.
It’ll be the one that respects your choices.

One chip. One castle. One decision at a time.
$AI3 #Autonomys s #SocialMining

Away from all of the #TrumpVsMusk headlines, I found myself drawn to a quieter yet equally pivotal conversation. As someone #SocialMining with @DAO Labs , I was especially intrigued by Dr. Chen Feng, the Head of Research at #AutonomysNetwork insights on the Spilling the TEE podcast, where he explored how Trusted Execution Environments (TEEs) could be the bedrock of a safe, decentralized AI future.

Castles in the Cloud: What Are TEEs?
Dr. Feng paints TEEs as castles in hostile territory, secure enclaves that protect code and data even when the surrounding system can’t be trusted. “If you want to understand TEEs,” he says, “ask what problem they solve. It’s about running software on someone else’s computer, with guarantees.” This metaphor brings to life how TEEs isolate sensitive operations from prying eyes, ensuring confidentiality and integrity.
Yet TEEs face challenges of their own. Hardware dependencies, limited memory, and potential side-channel attacks mean these “castles” aren’t impregnable. Dr. Feng acknowledges, “TEEs aren’t perfect, but they’re the most mature answer we have today.”

TEEs vs. ZKP, MPC, FHE
While Zero-Knowledge Proofs, Multi-Party Computation, and Fully Homomorphic Encryption promise mathematically airtight privacy, they remain orders of magnitude slower. TEEs, by contrast, impose as little as 5% overhead on GPU-intensive AI tasks, enough to deliver real-world performance today.
Defining Confidential AI
Confidential AI means data and model logic remain hidden during execution. For Dr. Feng, it’s non-negotiable: “Without privacy, AI can’t be trusted. Without trust, it can’t scale.” TEEs enable this by ensuring that sensitive inputs and proprietary algorithms never leave their secure enclave.

Autonomys Network: Building on TEEs
Autonomys’ mission is to create a privacy-first, decentralized infrastructure for intelligent agents, and TEEs are central to that vision:
Why TEEs? They deliver “trust without centralization,” aligning with Web3’s ethos of distributing power rather than concentrating it.
Autonomys believes that by pairing TEEs with decentralized coordination tools, assigning TEEs to app operators rather than to each individual agent, they can deliver truly trustworthy and high-performance AI at the scale of billions of agents without any bottlenecks.
For Autonomys, privacy is the very foundation of its vision: every AI user deserves confidentiality, and “if I share my data, I take a risk. That risk should be rewarded. That’s the promise of Web3,” as Dr. Feng reminds us..

Dr. Feng’s insights resonate deeply in today’s crypto landscape, where projects like $BTC , $PEPE and $SOL trending on Binance and leveraging innovative blockchain solutions to support the decentralized AI revolution. Many thanks to DAO Labs for giving us a voice, let’s start building those secure foundations today. And on this note, I will end this article with Dr. Feng’s call to action “We can build a better AI future. One that’s private, decentralized, and fair. But only if we start today.”
#crypto #AI

RWAINC shows that it is resilient, as it holds above crucial support and is continuing to gather momentum by steadily hoarding coins. According to the system developed by , this is a crucial kind of structure. Using these techniques, experts can identify sections of the room with lower possibilities of danger, so attention is given to facts rather than speculations.
Right now, as the token holds above support, any boost will wait for external validation such as good news from regulators, better mood among investors or improved market liquidity. Because of the Social Mining model, the community helps watch for such triggers and explains the price movements in peer reviews.
With this structure in place, heading toward resistance levels makes sense. If the market drops below the accumulation zone, it may open a way for prices to reach support levels set before. It is more important for the buyer to be sure and for market conditions to favor buying, since during accumulation buyers usually experience less reactivity in the price movement.
#RWA tokens, for instance RWAINC, are more likely to follow slower market trends. So, Social Mining becomes even more worthwhile, since it helps those who are patient and consistent, not those who just post a lot. This structure is calm at the moment, but things could change fast.

A big change in the way @Ton Network talks to their community has been communicated in the latest $TON report, matching the approach taken by @DAO Labs and #SocialMining frameworks. They are not simply cosmetic changes, butintentional updates to make it easier for decentralized groups to cooperate.
Changing the group name from “TON Community” to Toncoin makes it obvious that these are separate issues. Also, the launch of “TON Community” channels on Telegram and X allows everyone to easily recognise global participants in the project. Regional Hubs are now available and the old Society Builder title has been replaced by #TON Builder.
The changes in the realignment show the increased complexity of TON in both technical and social areas. Eliminating “The Open Network” helps reduce fragmentation among the network and gives contributors, builders and validators more defined paths to operate on.
The optimization helps participants of Social Mining to reach and participate with TON-related content in more orderly areas. Setting up a clear communication system through TON, the network provides its users with tools that fit its ambitious goals.
Because the platforms are now clearer, the network’s decentralized group can more effectively guide the next development of the network alongside blockchain technology.

Again, the $AVAX chart is being widely talked about by participants in #SocialMining who are part of @Avalanche_CN and @DAO Labs . Once it ran into roadblocks, AVAX is back testing support that many traders were keeping an eye on.

This means the company is building up its patient list by treating them when prices are low and market views remain stable. Support for #AVAX will be seen in the upcoming days; whether it can withstand and resume an advance or price will move lower depends on the general market conditions.
For anyone taking part in #SocialMining , this lets them create analysis that takes balanced observation into account. To avoid exaggerating a trend, contributors are requested to write about how technical developments are set up, the structure of recent changes and various scenarios.
The name of DAO Labs’ #AvalancheHub is deliberately spelled without ‘I’ because it is meant to encourage users to take part in a more thoughtful way. When people combine information with clear and neutral writing, they are valued by their audience and are trusted within Social Mining. Such clear and data-supported views play a big role in improving our collective knowledge, especially when the markets are less active like they are now.

Discussions have started among various #SocialMining contributors and asked @DAO Labs researchers at Solidus Hub because of their connection with #AITECH . A growing number of people are saying: “Data is no longer known as the new oil.” Compute is.”
It helps highlight a key change in the field of AI infrastructure. Nowadays, most organizations can find or produce useful data sets. Not many can build or use the computer systems needed to manage that data well. What really matters isn’t data, but being able to build and deploy intricate models in a reliable and economical way.
Solidus community members are investigating the difference between concepts in the Solidus Hub. They study the role of computers in shaping who are included in AI development and who are marginalized. Creators are focusing on explaining the economic and technical factors affecting the industry, instead of making marketing claims.
#DAOLabs makes sure the #SolidusHub is guided by research and knowledge. Switching from data-focused narratives to knowing compute limits is now how engineers consider scaling issues with AI. Tracking AITECH, investors are now more interested in the people controlling the data than in its location.

#bitcoin is gathering strength for new highs after making ATH . #Binance  users showed the most interest in #ETH $UNI , $LPT   and $MASK   tokens today. Today, as a #SocialMining writer at @DAO Labs , I'll share with you #Autonomys , one of the popular AI projects I've talked about a lot before.
Todd Ruoff, founder of Autonomys, argues that AI technology should be shaped not only by performance, but also by accountability and social ownership. In this article, we examine the future of transparent, decentralized, and ethical AI design through his framework.

AI is no longer just a matter of technology; it has also become an area where core values ​​such as ethics, transparency, and social responsibility are tested. The views expressed by Todd Ruoff, CEO of Autonomys, in an interview with Authority Magazine provide answers to questions at the heart of this transformation: How can AI be made fairer, more reliable, and more aligned with human values?
Ruoff’s first and perhaps strongest emphasis is the combination of open-source AI development and on-chain transparency. According to him, the way to understand whether an AI is biased is to see how it was trained. While this is not possible in closed-box systems, systems supported by open-source codes and blockchain technology make every step auditable. Autonomys' approach on this point is clear: AI should be a public value, not a corporate property. That's why the systems they develop are designed to be both auditable and improveable by communities.
The second important topic is how the "mediation framework" developed by Autonomys, namely the Agentic Framework, addresses accountability. The discussion tool called 0xArgu-mint, which Ruoff gave as an example, records the reasons for the decisions made by the AI ​​on-chain, allowing the user to access not only an answer, but also the entire logic chain of how that answer was produced. This paves the way for AI to no longer be just a "tool" but also a digital subject with its own identity and memory. Especially thanks to on-chain permanence, it becomes possible to retrospectively examine the behavior of an AI over time and to hold it accountable when necessary.
Third and finally, the issue of decentralization of AI control is one of the most critical debates of our time. According to Ruoff, the absolute power of a few giant technology companies over AI is not only a technical problem, but also an ethical one. For this reason, Autonomys is building a decentralized structure, both technologically and in terms of governance. In this way, decisions about AI can be made by communities and different stakeholders can be involved in the process.
Todd Ruoff’s approach hints at a more open, participatory, and auditable future in the field of AI. Although Autonomys’ projects are still at the beginning, these steps are laying the foundation stones for AI to gain social trust. AI must now not only be smarter, but also more transparent and accountable. As Ruoff says, this technology must belong to all of us — not just a few companies.

#AI is growing fast—but so are the risks. Power is concentrating, algorithms are black-boxed, and users are being left in the dark. That’s why Todd Ruoff, CEO of AutonomysNet, believes the future of AI must be open, transparent, and decentralized—and honestly, I couldn't agree more.

In a recent interview with Authority Magazine, Todd broke down exactly what’s at stake. And as a social miner participating in the #Autonomys Hub via @DAO Labs , I found his approach not just refreshing—but necessary. He doesn’t treat ethics as a side note. It’s built into Autonomys from the protocol up.
One core belief stood out: AI must be open-source and on-chain. Why? Because transparency isn’t a bonus—it’s the baseline. If no one can inspect how AI systems make decisions, there’s no way to call them fair or safe. That’s the danger of closed systems—no accountability. Autonomys solves this by recording every AI interaction immutably on-chain using its agentic framework. If an agent ever misfires, its logic trail is visible to all—no cover-ups.
A great example is 0xArgu-mint, their AI debate agent. After community questions about how it reasons, they didn’t just patch things—they went transparent. Now it logs every single interaction and the AI’s own internal logic on-chain. That’s rare. That’s needed. That’s how you build trust.

But technical transparency alone isn’t enough. Todd emphasizes that ethical AI also requires decentralization. The vision is bigger than just visibility—it’s about control. Autonomys is building infrastructure for Agentic AI that belongs to everyone, not just a few tech giants. That means censorship-resistant, verifiably fair, self-sovereign agents governed by communities—not CEOs.

As someone active in #Web3 , this lands deeply for me. We’re not just theorizing about “safe AI”—we’re actually building systems where AI must explain itself, prove its decisions, and earn our trust. That’s the future I believe in. One where agents don’t just compute — they’re accountable.
And if that’s where AI is headed, then Autonomys isn’t just participating—they’re leading. As a proud DAO Labs social miner, I’m excited to be part of something this important. Let’s keep building—openly, fairly, and together. #AI3 #SocialMining $ETH $BNB

A couple of months into exploring Autonomys Network through #SocialMining on AutonomysHub, I discovered something fascinating about #AI transparency that most #Web3 projects miss entirely.

Todd Ruoff's (CEO of Autonomy) journey from Wall Street executive to AI ethics advocate shows why blockchain-based artificial intelligence might be our best defense against algorithmic opacity.

Ruoff's Authority Magazine interview reveals how traditional finance principles apply to AI governance. His key insight: you can't regulate what you can't audit.
That's exactly what Autonomys Network addresses through their innovative approach to Agentic AI development.

Take a look at their 0xArgu-mint agent - a witty debate participant that stores every conversation permanently on Autonomys blockchain. While other AI systems operate behind closed doors, this agent's complete reasoning process becomes part of an immutable public record.

When AI makes decisions that affect real people, shouldn't we be able to examine exactly how those decisions formed?

The technical foundation matters here. Autonomys Network's consensus mechanism uses the PoAS protocol called Dilithium, designed for compatibility with SSDs through frequent random reads of small data chunks. This energy-efficient approach makes transparent AI development economically viable for smaller teams, not just tech giants.

Through the DAOLabs partnership, social miners, like myself, are building awareness around these concepts while earning rewards for community contributions. The collaboration demonstrates how decentralized communities can support complex technical projects that challenge established AI development patterns.

Ruoff emphasizes that AI bias stems from flawed training data, making transparency essential for identifying problems before they scale. Open-source development allows community scrutiny that proprietary systems cannot provide.

His philosophy can be seen in how Autonomys creates digital entities that learn and evolve while remaining fully auditable throughout their existence.

The broader implication of this touches data sovereignty - Ruoff's vision where individuals control their digital identity rather than surrendering it to corporate platforms.

As AI becomes more integrated with personal data, transparent frameworks like Autonomys become crucial for maintaining human agency in algorithmic decision-making.
For crypto communities interested in #AI3 development, Autonomys represents practical progress toward ethical artificial intellther than theoretical discussions about responsible development.

AI3 contributors at #AutonomysNetwork , supported by @DAO Labs through the #SocialMining initiative, are advancing decentralized learning by addressing the practical bottlenecks of bandwidth, data growth, and state storage in AI-based decentralized physical infrastructure networks.
Lately, it has been explained in technical discussions that Autonomys domain framework allows AI workloads to be used without putting additional pressure on block validation. Isolating its machine learning work from the main chain means Autonomys solves the problem brought by AI’s high resource use in decentralized transactions.
This separation enables dynamic workload adjustment, aligning with research by Li (2023) that flagged state bloat and historical data overflow as the leading barriers to usable decentralized AI systems. Members of Social Mining note that using the Subspace Protocol, storage can be scaled efficiently all the while ensuring transparency which is important in decentralized learning.
The proposed Proof-of-Training (AI-PoT) domain would handle model training, validation, and rewards, using AI3 as the economic engine. They make it possible to encourage honest use of computing resources and cut down on the need for one central group to supervise everything.
Social Mining in Autonomys Hub is responsible for the research: it records what the community observes and applies it to developing the protocol. The model mixes economic stability with being decentralized, so AI3 can support new AI-based economies as a basic layer.

🔥 Dear #BinanceSquareFamily readers, as someone who works as #SocialMining at @DAO Labs , today we will take a look at the interview conducted by #AutonomysNetwork CEO Todd Ruoff . Although the market is expecting price movements of tokens such as $ETH , $TRUMP , $MASK , #BinanceAlphaAlert news, #MarketRebound reading different articles will always be good for you.

👉 Hello. What was artificial intelligence ? Our assistant to whom we ask every question that comes to our minds in daily life. Yes, it really did. Searching the internet, searching for pages of information seems to be a thing of the past. Artificial intelligence and its applications that provide you with information with their sources. Should we worry about the future? Can they improve themselves and become better than humans? Anyway, I will put these crazy questions in my mind aside today. I will share my thoughts about an article I read before. What is the subject? Of course, the artificial intelligence storm. Let's all focus on the interview that Autonomys CEO Todd Ruoff had with Authority Magazine. Web3, artificial intelligence and more are here.

👉 Autonomys CEO Todd Ruoff approaches many issues regarding the future of artificial intelligence from his own perspective in this interview. Ruoff said that artificial intelligence is becoming more powerful and more autonomous every day. Naturally, he mentioned that transparency, ethical principles and security questions, which are important for users, are also increasing. He explained how they developed a vision against these challenges and why they are adhering to these principles. If we act by ignoring the basic principles, we may encounter artificial intelligences that we cannot hold in our hands in the future. Artificial intelligences, which are increasingly used today and are with us in many questions we seek answers to, will achieve success as they progress within the framework of these principles.

👉 While reading the article, I observed the following as one of Ruoff's clearest messages. The formation of an ethical artificial intelligence is only possible with transparency. It was recorded as a very important thought for me. Decisions created and made using closed systems will put users at risk. Artificial intelligences should always be transparent about the decisions they make. That's why Autonomys Network develops all of its technologies as open source. Thus, anyone who wishes can examine, criticize and contribute to the codes. This approach will increase not only software quality but also social trust. Instead of decisions whose ways are unclear, the principle of transparency should be at the center of this work.

 👉 Today, many artificial intelligence systems give us fast answers. Sometimes, even in long questions we ask, we see the answer in front of us as soon as we press the enter key. So how do artificial intelligences think when giving their answers? Do they explain them? This is where Autonomys Network makes a difference. It makes a difference with its own "agentic framework" developed to solve such problems. To elaborate on this subject, for example, they have created a discussion bot called 0xArgu-mint. When you interact with it, it records the thoughts behind its interaction and decision on the chain. In this way, the answer to the question of why the artificial intelligence thinks this way regarding the questions in the minds of the users is ready on the chain. Everything is on the chain and can be audited retrospectively. Transparency is not only a principle here, but also a technical feature at the core of this business.

👉 Ruoff finds it dangerous that the future of artificial intelligence is in the hands of a few large technology companies in terms of trust. He points out that the dependence of AI systems on a central authority can lead to unilateralism in decision-making processes. In the vision of the Autonomys Network, he argues that distributing this power is a structure where everyone can contribute, control and even own AI. He states that decentralized governance is seen as a sustainable way of trust and innovation in artificial intelligence. Thanks to decentralization, an environment of trust will also be created.

✅ Ultimately, the Autonomys Network, under the leadership of Todd Ruoff, continues to not only develop new AI tools, but also to provide strong examples of how these technologies can be more equitable and more participatory. They strive to make AI safe and accessible to everyone with the principles of transparency, open source infrastructure, on-chain traceability, and decentralized control. With this approach, they are following a remarkable path not only for the Web3 community, but for anyone who wants to have a say in the future of AI. Since this is a project I have been following for a long time, it makes me happy to see them take good steps in this direction. I hope they bring the successful and fully user compatible AIs we all dream of to our world in the future.