OpenLedger has recently launched its AI chat platform OpenChat, which allows all users to earn from their contributions.
According to the press release, this “is the first AI chat platform where every message, dataset, and model tweak is logged on-chain and credited to its source.”
OpenChat records each exchange onchain via OpenLedger’s Proof of Attribution protocol. It collects fees and autonomously shares them with “the top data influencers.”
“We’re watching the most powerful technology in history being built on the backs of invisible labor,” said Ram, Core contributor at OpenLedger. Therefore, the novel platform aims to change that.
“If your data trains the model, if your insight sharpens its edge, you should get paid. Attribution is the foundation for a future where AI is not just powerful, but fair. We’re not just logging credits; we’re rewriting the economics of intelligence,” says Ram.
Moreover, the team goes on to emphasize the relevance of knowing who trained conversational AI systems. We need to know “whose judgment they are mimicking, and who gets paid when they generate value.”
The reason, they say, is that these systems are getting increasingly influential and embedded into everyday tools across industries, from DeFi and finance to healthcare and legal.
Blockchain at Berkeley is a student-led organization from the University of California, Berkeley, USA. It collaborates with OpenLedger on “a direct counter to the closed systems dominating today’s AI landscape,” said the press release shared with Cryptonews.
The goal is to create an onchain foundation for transparent and…
‘Not a General-Purpose Chain’
In a May 2025 blog post, OpenLedger warned that most of today’s AI “runs behind closed doors.” Users don’t know who built the model or where the data comes from.
There is no transparency, anyone can copy or misuse datasets and models, and contributors do not get credit or rewards. Additionally, “a few big players own the most valuable models.”
However, the team claims, OpenLedger has an end-to-end model development framework, allowing anyone to build or contribute models onchain.
Moreover, its Proof of Attribution provides transparency into who contributed to and shaped the model. It also enables the reward system for contributors whose data is used.
“This is not a general-purpose chain. It focuses entirely on making AI open, transparent, scalable, and monetizable,” the blog post says.
TGE Incoming?
Currently, the team is teasing potentially major incoming news, mentioning the term ‘ticker.’ The community has offered a number of possible ideas, including mainnet, a partnership, a dapp, a protocol, a marketplace, and even NFTs.
Replying to a comment that suggested it could be a token generation event (TGE) or a listing, the team said: “You Wish. Keep trying.”
However, another post indicates that it just might be a TGE.
Meanwhile, in June, OpenLedger said it will commit $25 million to fund AI and Web3 developers. The capital will be available on OpenCircle, a new launchpad set up by the California-based project to assist developers with creating AI-focused protocols.
It is not surprising that major technology companies such as Amazon, Google, Meta, and Microsoft plan to invest approximately $320 billion in AI this year.
However, a growing concern lies in the billions being funneled into centralized, closed-source AI models controlled by a few dominant players.
The Security and Ethical Risks of…
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