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We’re not here to build the most advanced LLM
We’re here to change the game with the most decentralized one.
This year, we will launch something truly groundbreaking.
A LLM powered by the people, for the people.
Trained on your GPUs.
Secured on the blockchain.
We’re creating the world’s first Proof of Training (PoT) system.
Transparency at its core. Decentralization in every step.
And this is just the beginning.
Once we achieve this, we’ll push the boundaries of AI intelligence even further.
Decentralization first. Intelligence next.
This is more than innovation—it’s a movement.
Join us. Be part of something extraordinary.
> $AGC #Layer1 #DevolvedAi #Argochain $MATIC #CoinMarketCap
We’re here to change the game with the most decentralized one.
This year, we will launch something truly groundbreaking.
A LLM powered by the people, for the people.
Trained on your GPUs.
Secured on the blockchain.
We’re creating the world’s first Proof of Training (PoT) system.
Transparency at its core. Decentralization in every step.
And this is just the beginning.
Once we achieve this, we’ll push the boundaries of AI intelligence even further.
Decentralization first. Intelligence next.
This is more than innovation—it’s a movement.
Join us. Be part of something extraordinary.
> $AGC #Layer1 #DevolvedAi #Argochain $MATIC #CoinMarketCap
TOKEN2049 update: Not only is our founder @therealargonate attending #token2049 , but we're also bringing our COO, blockchain team, and ML engineers! We're doubling down on networking and collaboration, so be ready to connect with the full Devolved AI team throughout the event. Big things are on the horizon!
AI, for the people, by the people.
> $AGC #Argocoin #Argochain #Argoswap #AI
AI, for the people, by the people.
> $AGC #Argocoin #Argochain #Argoswap #AI
The Path to Decentralized AI: Our Progress So Far @devolvedai
At Devolved AI, we're on a mission to build the most decentralized and transparent LLM in the world, and we're making significant strides in that direction. Here’s where we stand with each crucial step in this groundbreaking journey:
1. Fine-Tuning Athena AI: 80% complete
We're almost there in refining Athena, our core LLM, to ensure it’s perfectly tailored for a decentralized future.
2. Storing on Decentralized Systems: 100% ready
All the model files and datasets are prepped and ready to be uploaded to the Stratos decentralized storage system as soon as final touches are done.
3. Proof of Training on Argochain: 90% complete
We’re nearly finished building the capability to store cryptographic hashes on Argochain with a timestamp, ensuring every aspect of our LLM’s integrity is verifiable.
4. Deploying the Enhanced Model: 75% complete
We’re making great progress in integrating the newly fine-tuned model into our Devolved AI platform, moving closer to a major milestone.
Once these four steps are complete, we will have the most transparent and decentralized LLM in the world. But we’re not stopping there.
🚀 Next up: Integrating our federated learning and distributed training systems.
🌍 Get involved: Soon, anyone in the world will be able to earn AGC by contributing to the training of our LLM—whether by using their GPUs or by submitting datasets that Athena will use for learning. Every element of Athena is community-driven and controlled.
🔗 Seamless updates: With each update, Stratos and the cryptographic hash will be automatically refreshed, reinforcing the integrity and transparency of our LLM at every step.
The future we’re building isn’t just revolutionary—it’s happening right now. Get ready to be part of it!
AI, for the people, by the people.
> $AGC #Devolvedai #Argochain #Argoswap #AI #DecentralizedFuture"
At Devolved AI, we're on a mission to build the most decentralized and transparent LLM in the world, and we're making significant strides in that direction. Here’s where we stand with each crucial step in this groundbreaking journey:
1. Fine-Tuning Athena AI: 80% complete
We're almost there in refining Athena, our core LLM, to ensure it’s perfectly tailored for a decentralized future.
2. Storing on Decentralized Systems: 100% ready
All the model files and datasets are prepped and ready to be uploaded to the Stratos decentralized storage system as soon as final touches are done.
3. Proof of Training on Argochain: 90% complete
We’re nearly finished building the capability to store cryptographic hashes on Argochain with a timestamp, ensuring every aspect of our LLM’s integrity is verifiable.
4. Deploying the Enhanced Model: 75% complete
We’re making great progress in integrating the newly fine-tuned model into our Devolved AI platform, moving closer to a major milestone.
Once these four steps are complete, we will have the most transparent and decentralized LLM in the world. But we’re not stopping there.
🚀 Next up: Integrating our federated learning and distributed training systems.
🌍 Get involved: Soon, anyone in the world will be able to earn AGC by contributing to the training of our LLM—whether by using their GPUs or by submitting datasets that Athena will use for learning. Every element of Athena is community-driven and controlled.
🔗 Seamless updates: With each update, Stratos and the cryptographic hash will be automatically refreshed, reinforcing the integrity and transparency of our LLM at every step.
The future we’re building isn’t just revolutionary—it’s happening right now. Get ready to be part of it!
AI, for the people, by the people.
> $AGC #Devolvedai #Argochain #Argoswap #AI #DecentralizedFuture"
🤝 New Partnership Announcement!
We’re excited to collaborate with @Cadaico, a trailblazer in AI-powered solutions for the entire product lifecycle—from design to machine maintenance—transforming industrial production.
Here’s what this partnership brings:
1️⃣ Data-Powered Synergy: CADAICO will contribute valuable data to enhance the training of our LLM, Athena, in exchange for $AGC.
2️⃣ Storage Solutions: Together, we'll tackle the heavy storage demands for their models, ensuring efficiency and scalability.
3️⃣ Enterprise Development: We’ll leverage our Layer 1 silo-safe environment to meet the development needs of CADAICO's enterprise clients.
4️⃣ Mutual Monetization: Custom-developed dApps and AI models will be monetized on each other’s marketplaces, maximizing value for both ecosystems.
We’re thrilled to welcome Cadaico to our AI ecosystem. Let’s build the future together! 🚀
$AGC #DevolvedAi $MATIC #Argochain #DecentralizedFuture"
We’re excited to collaborate with @Cadaico, a trailblazer in AI-powered solutions for the entire product lifecycle—from design to machine maintenance—transforming industrial production.
Here’s what this partnership brings:
1️⃣ Data-Powered Synergy: CADAICO will contribute valuable data to enhance the training of our LLM, Athena, in exchange for $AGC.
2️⃣ Storage Solutions: Together, we'll tackle the heavy storage demands for their models, ensuring efficiency and scalability.
3️⃣ Enterprise Development: We’ll leverage our Layer 1 silo-safe environment to meet the development needs of CADAICO's enterprise clients.
4️⃣ Mutual Monetization: Custom-developed dApps and AI models will be monetized on each other’s marketplaces, maximizing value for both ecosystems.
We’re thrilled to welcome Cadaico to our AI ecosystem. Let’s build the future together! 🚀
$AGC #DevolvedAi $MATIC #Argochain #DecentralizedFuture"
What an electrifying first day at #Token2049 @everyone! ⚡️ The Devolved AI team hustled hard, forging connections with over 100 visionary projects that align with our mission. We're tirelessly building something groundbreaking, and this is just the beginning! 🙌 Can't wait to make even bigger strides tomorrow!🚀
#Token2025Insights #Argocoin #Argoswap #Argochain
#Token2025Insights #Argocoin #Argoswap #Argochain
We're excited to announce an exciting partnership with $XALPHA! 🤝
We're pushing the boundaries of AI with Athena, our advanced LLM. Now, with @XAlphaAI_Team providing Twitter data via their API, Athena will become even smarter!
#Token2049 #Argochain #Argoswap
We're pushing the boundaries of AI with Athena, our advanced LLM. Now, with @XAlphaAI_Team providing Twitter data via their API, Athena will become even smarter!
#Token2049 #Argochain #Argoswap
A Deeper Look into the Hype of Decentralized AI: My Perspective as the Founder of Devolved AI
Article made by DevolvedAi founder on X. #NathanPeterson
As the founder of @devolvedai, I’ve spent a considerable amount of time exploring the potential and the reality of decentralized AI. There’s no shortage of buzz around this concept, with numerous projects claiming to push the boundaries of what decentralized AI can achieve. But the truth is, while many of these initiatives contribute valuable pieces to the puzzle, few, if any, are truly working towards a fully decentralized AI system.
Let’s take a closer look at the current landscape of decentralized AI and how Devolved AI is striving to accomplish what no one else is—creating an AI that is decentralized in every sense of the word.
The Decentralized AI Landscape: What’s Really Going On?
Decentralized AI is often touted as the future of artificial intelligence—a way to democratize AI development and prevent the monopolization of this powerful technology. But when we examine the projects leading this charge, we see that most are focused on decentralizing specific components of AI, not the entire system.
Take @ASI_Alliance, for example. ASA is an ambitious project aiming to create superintelligent AI. Their approach is decentralized in the sense that they distribute the research, data, and resources necessary for this monumental task. It’s a noble effort, but it stops short of decentralizing the entire AI ecosystem.
Then there’s @opentensor, a project designed to decentralize the training of AI models. Bittensor allows developers to leverage a distributed network of nodes for training, rewarding participants with the network’s native token, $TAO. This decentralization of the training process is crucial, but it’s still just one piece of the AI puzzle.
@rendernetwork is another key player, providing a decentralized platform for GPU rendering, which is essential for AI and other high-performance tasks. By connecting those who need computational power with those who have it, Render Network helps lower costs and increase accessibility. Again, this is a critical component of decentralizing AI, but it doesn’t cover the entire scope.
What’s Missing? The Need for Full Decentralization
The projects mentioned above are undoubtedly making strides in decentralizing aspects of AI, but they don’t address the full picture. Decentralizing AI isn’t just about spreading out data, computation, or specific processes—it’s about creating an entire ecosystem where every aspect of AI is decentralized, from the ground up. This is where Devolved AI comes in.
At Devolved AI, we’re not just decentralizing parts of the AI process; we’re decentralizing the entire system. Our mission is to build the first truly decentralized large language model that’s powered by the people, for the people.
How Devolved AI is Different: Decentralization at Every Level
With Devolved AI, we’re decentralizing every aspect of AI development. Our core LLM, Athena AI, is trained using a unique federated learning system that distributes the training process across a global network of GPUs. This ensures that no single entity controls the training or development of the AI.
We also store all datasets and training information on a decentralized storage network, @Stratos_Network, with every piece of data documented on the blockchain through a system we call Proof of Training (PoT). This transparency means that the entire community can verify and audit the AI’s development at any time.
But we’re not stopping there. Our roadmap includes transitioning Athena to run entirely on a decentralized global network of GPUs by 2025. This will remove any dependence on central servers, making Athena AI the most decentralized AI ever created.
Why This Matters: The Future of AI Depends on True Decentralization
Decentralizing AI isn’t just a trend—it’s a necessity for the future of artificial intelligence. If we continue down the path of centralized AI development, we risk placing too much power in the hands of a few, potentially leading to misuse or exploitation of this technology.
At Devolved AI, we believe that AI should be controlled by the people who use it, not by corporations or centralized entities. That’s why we’re committed to creating a fully decentralized AI system—one where every decision, every dataset, and every computation is distributed and transparent.
In conclusion, while many projects contribute valuable components to the decentralized AI movement, Devolved AI is the only project that is truly working towards a fully decentralized AI ecosystem. We’re not just decentralizing parts of AI; we’re decentralizing the entire system, ensuring that the future of AI is in the hands of the people, where it belongs.
$AGC $MATIC #DevolvedAi #Argochain #Argoswap #Discord #Twitter
As the founder of @devolvedai, I’ve spent a considerable amount of time exploring the potential and the reality of decentralized AI. There’s no shortage of buzz around this concept, with numerous projects claiming to push the boundaries of what decentralized AI can achieve. But the truth is, while many of these initiatives contribute valuable pieces to the puzzle, few, if any, are truly working towards a fully decentralized AI system.
Let’s take a closer look at the current landscape of decentralized AI and how Devolved AI is striving to accomplish what no one else is—creating an AI that is decentralized in every sense of the word.
The Decentralized AI Landscape: What’s Really Going On?
Decentralized AI is often touted as the future of artificial intelligence—a way to democratize AI development and prevent the monopolization of this powerful technology. But when we examine the projects leading this charge, we see that most are focused on decentralizing specific components of AI, not the entire system.
Take @ASI_Alliance, for example. ASA is an ambitious project aiming to create superintelligent AI. Their approach is decentralized in the sense that they distribute the research, data, and resources necessary for this monumental task. It’s a noble effort, but it stops short of decentralizing the entire AI ecosystem.
Then there’s @opentensor, a project designed to decentralize the training of AI models. Bittensor allows developers to leverage a distributed network of nodes for training, rewarding participants with the network’s native token, $TAO. This decentralization of the training process is crucial, but it’s still just one piece of the AI puzzle.
@rendernetwork is another key player, providing a decentralized platform for GPU rendering, which is essential for AI and other high-performance tasks. By connecting those who need computational power with those who have it, Render Network helps lower costs and increase accessibility. Again, this is a critical component of decentralizing AI, but it doesn’t cover the entire scope.
What’s Missing? The Need for Full Decentralization
The projects mentioned above are undoubtedly making strides in decentralizing aspects of AI, but they don’t address the full picture. Decentralizing AI isn’t just about spreading out data, computation, or specific processes—it’s about creating an entire ecosystem where every aspect of AI is decentralized, from the ground up. This is where Devolved AI comes in.
At Devolved AI, we’re not just decentralizing parts of the AI process; we’re decentralizing the entire system. Our mission is to build the first truly decentralized large language model that’s powered by the people, for the people.
How Devolved AI is Different: Decentralization at Every Level
With Devolved AI, we’re decentralizing every aspect of AI development. Our core LLM, Athena AI, is trained using a unique federated learning system that distributes the training process across a global network of GPUs. This ensures that no single entity controls the training or development of the AI.
We also store all datasets and training information on a decentralized storage network, @Stratos_Network, with every piece of data documented on the blockchain through a system we call Proof of Training (PoT). This transparency means that the entire community can verify and audit the AI’s development at any time.
But we’re not stopping there. Our roadmap includes transitioning Athena to run entirely on a decentralized global network of GPUs by 2025. This will remove any dependence on central servers, making Athena AI the most decentralized AI ever created.
Why This Matters: The Future of AI Depends on True Decentralization
Decentralizing AI isn’t just a trend—it’s a necessity for the future of artificial intelligence. If we continue down the path of centralized AI development, we risk placing too much power in the hands of a few, potentially leading to misuse or exploitation of this technology.
At Devolved AI, we believe that AI should be controlled by the people who use it, not by corporations or centralized entities. That’s why we’re committed to creating a fully decentralized AI system—one where every decision, every dataset, and every computation is distributed and transparent.
In conclusion, while many projects contribute valuable components to the decentralized AI movement, Devolved AI is the only project that is truly working towards a fully decentralized AI ecosystem. We’re not just decentralizing parts of AI; we’re decentralizing the entire system, ensuring that the future of AI is in the hands of the people, where it belongs.
$AGC $MATIC #DevolvedAi #Argochain #Argoswap #Discord #Twitter