AI has been touted on the blockchain for so long, but who has solved the pain points of "data is dead, computation is black, and results are fuzzy"?

Old projects either rely on oracles to transmit data or become paralyzed due to chain congestion. AI training is like putting together a puzzle with your eyes closed, and the reasoning results cannot be verified at all—until @irys_xyz appeared.

Its programmable data comes with execution logic, eliminating the need for oracles and cross-chain bridges, allowing data to "live" directly on the chain; the EVM-compatible IrysVM can natively access storage, and AI collaboration no longer requires cross-layer hassle. The multi-ledger architecture is even more aggressive, with Submit Ledger for temporary validation and Publish Ledger for permanent storage, completely bidding farewell to congestion; the "useful PoW + staking" mechanism allows only high-quality data to go on-chain, and malicious miners will also be slashed, so there's no need to worry about data quality.

What is most impressive is its full-stack support for AI:
The calculation involves on-chain GPU scheduling, training can verify data provenance, and inference relies on cross-validation to ensure transparency. From addressing the pain points of AI on-chain at the beginning to the impressive conclusion of full-stack empowerment, @irys_xyz demonstrates with technical strength that it is the infrastructure that AI truly needs.

This is the true infrastructure tailored for AI, transforming the past "make do" into "precise matching," with future potential completely visible.

A final reminder, the project's TGE is coming soon. For those family members who want to rank up, seize the last opportunity to sprint!

Kaito Yap Ranking:

​​#irys KAITO @cn_irys_xyz @KaitoAI #Starboard