Today, I went out to play for a day during the National Day holiday and also went to our local square to watch the flag-raising ceremony, which was full of ritual.
Limitless @trylimitless has already raised 100 million in pre-sales, which is a bit beyond expectations, and it has also become the first project on Kaito @KaitoAI to exceed 100 million.
Returning to the core project of Sentient @SentientAGI, GRID.
GRID (Global Research and Intelligence Directory) is an open-source, decentralized network that connects specialized AI agents, models, data sources, tools, and computing resources to collaboratively build AGI-level intelligence.
GRID has three main features:
1: Interoperability and Composability: Multi-agent reasoning is achieved through protocols like ROMA (Recursive Open Meta-Agent), enhancing search capabilities with Open Deep Search (ODS), allowing agents to collaborate in real-time to create "workflows," where the output of one agent can serve as input for another.
2: Open-source and Verifiable: All components use model fingerprinting technology to ensure ownership and security, being transparent and preventing unauthorized use.
3: Usability: Users interact through Sentient Chat, a unified interface for discovering, invoking, and combining GRID elements.
Current scale and ecosystem as of October 2025, GRID is developing rapidly:
110+ partners: including 50+ AI agents (e.g., Napkin for generating graphics, Exa for searching, Caldo for finance), 50+ data providers (e.g., The Graph, Kaito), 6+ models (e.g., Dobby, a community-aligned open-source model), and 10+ computing/infrastructure providers (e.g., EigenLayer).
User scale: Over 2 million people on the waiting list, actively contributing to Web2/Web3 use cases.
The reason GRID is the core product: GRID disrupts the "closed laboratory" model of AGI development. Through modular and community-driven intelligence, GRID ensures that AGI is not monopolized by large companies—developers are rewarded, users receive transparent outputs, and the network expands through staking and contributions.
With so many AI projects in the crypto space, why is it that only Sentient @SentientAGI can attract such high attention?
First: Sentient is not simply putting AI on the blockchain; it enables open-source AI developers to safely monetize innovation and collaborate within the community through protocols and incentive mechanisms, becoming core stakeholders in a decentralized AI ecosystem.
Many previous AI projects were just shells created to issue tokens, but Sentient is not one of them.
The core difference between Sentient and many other AI projects in the crypto space is its emphasis on building "Loyal AI": AI models that are not only open-source but also utilize encrypted "fingerprint" technology (OML - Open Monetizable Loyal) to achieve traceable ownership, community governance, and value return, avoiding the pitfalls of open-source models being misused or developers being unable to profit.
Why is Sentient more unique?
1: Addressing AI pain points: Currently, AI is severely fragmented—closed models (like OpenAI) control data/profits, while open-source models (like Llama) lack protection. Sentient bridges the two with crypto: models are public but "owned," tracking misuse through fingerprints (such as embedding secret prompts to refuse specific queries) and automating revenue sharing with smart contracts. This transforms AI from a "corporate tool" into a "community asset."
2: Practical applications: GRID acts as an "AI brain," supporting multi-agent collaboration.
3: Community feedback: Users on X emphasize its "non-speculative orientation"—open-source + practical, suitable for Web3 builders. Unlike the "AI memecoin" craze, Sentient is an infrastructure-level project.
#SentientAGI #Sentient @KaitoAI @Punk9277
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