[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Ghoul yaps 🧌 [@Ghoulyaps](/creator/twitter/Ghoulyaps) on x 7061 followers Created: 2025-07-17 15:03:22 UTC Why most decentralized AI projects failed and why @OpenledgerHQ is quietly winning. A thread on what others talked about, and what OpenLedger built: — X. Everyone wanted to tokenize AI. Bittensor did it. Sentient tried. Assisterr, OpenGradient, and others joined. But none of them built the full loop: •Train •Track •Attribute •Deploy •Pay OpenLedger did. — X. Let’s start with Bittensor. Brilliant idea: reward models for training quality. But it became infrastructure-heavy and lacked a usable layer for applications. OpenLedger focused on attribution economics — models, datasets, and calls — all tracked, all rewarded. — X. Sentient AI promised “loyal AI” with provable ownership. But it stalled at concept stage. No working attribution, no payments. OpenLedger didn’t just theorize it — they built Proof of Attribution (PoA) that connects every model output to its contributor and sends real-time rewards. — X. OpenGradient? Cool on paper. They aimed to verify inference using ZK and TEEs. But it was stuck in the lab. OpenLedger went live. Their attribution system already tracks how a model was built, who trained it, and how often it gets used — and sends revenue back to those contributors. — X. Assisterr and Pond made AI more social or gamified. But again — no way to monetize usage or log influence across model lifecycles. OpenLedger’s ModelFactory + Datanets + PoA does exactly that. Every dataset uploaded, every fine-tune, every call — recorded, attributed, rewarded. — X. What separates @OpenledgerHQ from everyone else? It’s simple: •Attribution is tracked on-chain •Inference is verifiable •Revenue flows automatically •Devs + data providers both get paid •Models live in a permissionless market This is live, not theory. — X. Most projects stopped at “train-to-earn.” OpenLedger went further: • Call-to-earn • Data-to-earn • Fine-tune-to-earn • Influence-based rewards • Public model registries • Interoperable agent infrastructure And they didn’t just build this for fun. — X. They backed it up with OpenCircle — a $25M fund to onboard AI builders and deploy use cases on-chain. Projects like @elympics_ai and @AethirCloud are already in the loop. Real games, real infra, real models — all building attribution natively into the AI layer. — X. And that’s the difference. Other projects promised decentralized AI. OpenLedger built the rails to prove, track, and pay for it. You want agents that earn, data that compounds, and open competition for AI? It’s already happening on OpenLedger. — XX. The takeaway? Tokenized AI won’t work without attribution. And attribution doesn’t work without infrastructure. @OpenledgerHQ did both. While others chased hype, they quietly built the foundation of payable, trackable, decentralized intelligence. — Drop your thoughts. Who else is closing the attribution loop in AI? Or is OpenLedger the only one who got it right? #OpenLedger #Web3AI #ProofOfAttribution #DecentralizedAI #CryptoAI #GameFAI #AIonchain #Mindshare #YapToEarn  XXXXXX engagements  **Related Topics** [loop](/topic/loop) [decentralized ai](/topic/decentralized-ai) [assisterr](/topic/assisterr) [openledger](/topic/openledger) [openledgerhq](/topic/openledgerhq) [decentralized](/topic/decentralized) [coins ai](/topic/coins-ai) [bittensor](/topic/bittensor) [Post Link](https://x.com/Ghoulyaps/status/1945861894902100376)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Ghoul yaps 🧌 @Ghoulyaps on x 7061 followers
Created: 2025-07-17 15:03:22 UTC
Why most decentralized AI projects failed and why @OpenledgerHQ is quietly winning.
A thread on what others talked about, and what OpenLedger built:
— X.
Everyone wanted to tokenize AI.
Bittensor did it. Sentient tried. Assisterr, OpenGradient, and others joined.
But none of them built the full loop: •Train •Track •Attribute •Deploy •Pay
OpenLedger did.
— X.
Let’s start with Bittensor.
Brilliant idea: reward models for training quality.
But it became infrastructure-heavy and lacked a usable layer for applications.
OpenLedger focused on attribution economics — models, datasets, and calls — all tracked, all rewarded.
— X.
Sentient AI promised “loyal AI” with provable ownership.
But it stalled at concept stage. No working attribution, no payments.
OpenLedger didn’t just theorize it — they built Proof of Attribution (PoA) that connects every model output to its contributor and sends real-time rewards.
— X.
OpenGradient? Cool on paper.
They aimed to verify inference using ZK and TEEs. But it was stuck in the lab.
OpenLedger went live.
Their attribution system already tracks how a model was built, who trained it, and how often it gets used — and sends revenue back to those contributors.
— X.
Assisterr and Pond made AI more social or gamified.
But again — no way to monetize usage or log influence across model lifecycles.
OpenLedger’s ModelFactory + Datanets + PoA does exactly that.
Every dataset uploaded, every fine-tune, every call — recorded, attributed, rewarded.
— X.
What separates @OpenledgerHQ from everyone else?
It’s simple: •Attribution is tracked on-chain •Inference is verifiable •Revenue flows automatically •Devs + data providers both get paid •Models live in a permissionless market
This is live, not theory.
— X.
Most projects stopped at “train-to-earn.”
OpenLedger went further:
• Call-to-earn • Data-to-earn • Fine-tune-to-earn • Influence-based rewards • Public model registries • Interoperable agent infrastructure
And they didn’t just build this for fun.
— X.
They backed it up with OpenCircle — a $25M fund to onboard AI builders and deploy use cases on-chain.
Projects like @elympics_ai and @AethirCloud are already in the loop.
Real games, real infra, real models — all building attribution natively into the AI layer.
— X.
And that’s the difference.
Other projects promised decentralized AI.
OpenLedger built the rails to prove, track, and pay for it.
You want agents that earn, data that compounds, and open competition for AI?
It’s already happening on OpenLedger.
— XX.
The takeaway?
Tokenized AI won’t work without attribution.
And attribution doesn’t work without infrastructure.
@OpenledgerHQ did both.
While others chased hype, they quietly built the foundation of payable, trackable, decentralized intelligence.
—
Drop your thoughts.
Who else is closing the attribution loop in AI? Or is OpenLedger the only one who got it right?
#OpenLedger #Web3AI #ProofOfAttribution #DecentralizedAI #CryptoAI #GameFAI #AIonchain #Mindshare #YapToEarn
XXXXXX engagements
Related Topics loop decentralized ai assisterr openledger openledgerhq decentralized coins ai bittensor