Developers who want to experiment with AI often hit walls quickly. Compute is expensive, storage is limited, and running at scale is almost impossible without massive budgets. 0G Labs (Ø,G) - AI L1 is trying to remove those barriers. By lowering costs across storage and compute while

The tokenomics of 0G Labs (Ø,G) - AI L1 are one of the cleanest models in this cycle. Out of the total supply, 56 percent is allocated directly to the community. This includes rewards, AI alignment nodes, and ecosystem growth. The remaining supply is distributed between team members and

Why is storage such a big deal for AI? Models are massive, datasets even bigger, and gaming or metaverse assets add an entirely new layer of weight. Traditional storage systems make scaling cost-prohibitive. 0G Labs (Ø,G) - AI L1 fixes this with a cost efficiency of 10 to 100 times cheaper

Marketing in Web3 is broken. Too many projects reward noise instead of real traction. Galxe Galxe Starboard fixes this by filtering signal from noise giving projects a way to measure actual contributions instead of vanity metrics.

A trader in 2026 doesn’t think about infra, AI alignment, or vault design. She just uses her wallet: 0G Labs (Ø,G) - AI L1 runs the compute, Gata interprets her queries, and GAIB 🟠 | RWAiFi allocates her assets into the best-performing vault. That seamless future is what these projects are

0G Labs (Ø,G) - AI L1 Chain is a modular EVM Layer 1 built for AI and DeFi. The focus is on speed and affordability, specifically optimizing gas costs for AI logic. Where other chains struggle with scaling complex operations, 0G Chain provides an execution environment that actually

The next wave of AI won’t live in labs. It will live on-chain. Theoriq is building the foundations of an agent economy where swarms of autonomous agents can trade, collaborate, and evolve in public view. Think beyond “AI models.” Think about programmable entities competing

3 reasons why these 3 projects matter right now: • GAIB 🟠 | RWAiFi is making assets like BTCfi actually usable in DeFi. • 0G Labs (Ø,G) - AI L1 is giving AI + ZK compute an open infra base. • Gata is pushing AI alignment beyond closed models. Different goals, but one shared vision:

When people say AI is expensive, most of that cost comes down to compute and storage. 0G Labs (Ø,G) - AI L1 addresses both. With 0G Compute, developers get on-demand inference and training power with pay-as-you-go efficiency. This means you don’t need to overcommit or rent massive compute

People still underestimate how far ahead Cysic is. They think it's just another zk thing. Another leaderboard grind. Another testnet. But if you zoom out and look at what they’ve built, a working compute economy, real silicon, AI agent systems, mobile verification, and a

Breaking down 0G Labs (Ø,G) - AI L1 Storage: Imagine needing to host an AI model that weighs several terabytes or datasets running into petabytes. In traditional settings, the costs are crushing. 0G Labs (Ø,G) - AI L1 Storage delivers the same function at up to 100 times lower cost. This makes