Here's a little math problem about GRID ๐ค
Multiple agentic capabilities available in one place
Data sources across industries
+ Reasoning to bring it all together
โโโโโโโโโโโโโโโโโโโโโโโโโโ
= The best answers you can ask for
Here's a little math problem about GRID ๐ค
Multiple agentic capabilities available in one place
Data sources across industries
+ Reasoning to bring it all together
โโโโโโโโโโโโโโโโโโโโโโโโโโ
= The best answers you can ask for
Partnerships That Shaped OpenLedger
Chapter 5: @OpenledgerHQ ร @iqofficial
AI isnโt just about smart responses; itโs about intelligent systems that can think, act, and automate at scale. Thatโs exactly what this partnership set out to achieve.
On May 29โ30, 2025, @OpenLedgerHQ teamed up with @iqofficial to supercharge โThe Brainโ framework a powerful layer designed to bring intelligent automation to Web3 agents and workflows.
Through this collaboration, OpenLedger integrated its attribution-aware AI models directly into IQ AIโs ecosystem, unlocking new capabilities for:
๐ง Autonomous decision-making
๐ค Agent-driven protocol execution
๐ Workflow automation across decentralized networks
โ๏ธ Smarter, context-aware applications
What makes this partnership so critical?
It bridged OpenLedgerโs model intelligence with IQ AIโs programmable brain, forming a feedback loop where AI agents not only respond but also learn, act, and evolve.
Think:
โ DAO tools that make informed decisions
โ AI assistants that understand and adapt to user behavior
โ On-chain agents that manage workflows end-to-end
This wasnโt just an integrationโit was a neural link between two powerful AI stacks, setting a new standard for automation in the decentralized world.
OpenLedger doesnโt just build AI for show.
It builds AI for action.
Imagine if GitHub and HuggingFace had a Web3 baby.
Thatโs The Model Factory by @OpenLedgerHQ and itโs a game-changer.
You can:
Fork any open-source AI model
Train it on your own data
Deploy it wherever you want
Iterate publicly or privately
And most importantly everyone who contributes gets attribution on-chain, verifiable, and rewardable.
This isnโt just a tool. Itโs a protocol for AI ownership.
In Web2, AI is a black box: you build โ they profit.
In Web3, with OpenLedger, you build โ you own.
No more invisible labor. No more mystery data.
Just transparent, provable, forkable intelligence.
Ever wondered what the next billion-dollar app will be?
@OpenLedgerHQ laid out a bold vision on June 24, and itโs not just hype. Itโs a blueprint.
We're entering an era where the most valuable apps won't just entertain us or help us scroll, theyโll build, audit, verify, and govern the AI economy.
This isnโt ChatGPT with a new skin.
Weโre talking research copilots, autonomous auditors, legal bots, AI-native startups, and every single one will need trusted, verifiable data.
Thatโs where Proof of Attribution comes in.
OpenLedger is creating an attribution layer for AI:
โ Data thatโs traceable
โ Contributions that are credited
โ Builders that get rewarded on-chain
The funding backing this isnโt just capital, itโs conviction.
From the idea of ownership over data to the infrastructure that allows verifiable, open-source AI to scale, OpenLedger is building the rails.
If youโre serious about AI x Crypto, donโt just chase coins.
Track where the picks and shovels are going.
Start with OpenLedger.
๐จ Stop chasing connections. Start solving real problems.
If youโve got an AI or Web3 idea with real impact, submit it to OpenCircle.
@OpenledgerHQ has committed $25M to support builders.
This is the new economy where contribution equals compensation
Bring your idea. Build. Earn.
Whatโs next? Imagine agents built on that chat data:
Help desks, support bots, personal assistantsโฆ all learning from real humans and paying them.
Thatโs the vision with @OpenledgerHQ
That's why I love this economic model, I think a lot of projects will learn from this.
๐ happy 10th birthday Ethereum!
๐ฐ MoonPay is giving away 1 ETH ($3,780) to one person on X to celebrate
๐ the winner will be selected and notified on July 31
โ like this post and follow to enter
Performance isnโt just about speedโit's also resource efficiency. SP1โCC introduces new precompiles tailored for oracle aggregation, SNARK ops, and big integer math. Each precompile saves ~20โ30% compute vs manual ops. The impact? Reduced gas + smaller proof sizes. $PROVER