Ever wondered how Devolved AI ensures the integrity of our LLM, Athena? With our groundbreaking Proof of Training (PoT) system, we’re setting a new standard for transparency in AI development. Here’s how this makes Athena the most transparent LLM in the world—surpassing even open-source models. 👇

🚀 Proof of Training (PoT) in Action:
Athena will be fully documented on the Stratos blockchain. A cryptographic hash will be stored on our layer 1 blockchain, providing irrefutable proof of Athena’s integrity at any given moment. This level of transparency is unmatched in the AI space.

📦 Every Update, Every Fine-Tune—Tracked and Verified:
Unlike other LLMs, even open-source models, every time we update or fine-tune Athena, the entire LLM and all community-approved datasets used in training will be uploaded to Stratos. This ensures that every change is both visible and verifiable by anyone.

🔗 Cryptographic Hashes as Proof of Training:
These updates are always referenced on our chain with cryptographic hashes, providing a rock-solid, tamper-proof record of Athena’s training and current status. No other LLM offers this level of traceability.

👥 Community-Driven, Transparent AI:
Only datasets approved by our community will be used to train Athena. This means every step in our AI’s development is guided by the collective vision and values of our community, ensuring transparency and alignment with user priorities.

🔒Setting a New Standard for AI Integrity:
With Proof of Training (PoT), Devolved AI doesn’t just talk about transparency—we deliver it. No other LLM, open-source or proprietary, can match the level of accountability and openness we’re bringing to AI development.

🔍 Why Athena Stands Alone:
While open-source LLMs allow you to see the code, Athena goes further by providing a transparent, verifiable history of every training dataset and update. This makes Athena not just the most transparent LLM, but also the most trustworthy.

With Devolved AI’s PoT system, we’re not just building an AI—we’re setting a new gold standard for transparency and trust in the AI world. Athena is not just another LLM; it’s the future of AI, where openness and integrity are built into every line of code. 🌐

Stay tuned for more insights on how we’re building the most transparent and decentralized LLM ever! 🚀
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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.

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