Question we keep getting: why does 0G use TEEs for compute instead of ZK?
Short answer: AI workloads don't tolerate ZK overhead, and TEEs give you privacy for free.
Longer answer below. 👇🏼
$stOG changes that.
When you stake through Gimo:
▸ Your $OG continues earning staking rewards
▸ You receive $stOG as a liquid representation of your stake
▸ Your capital stays usable across the 0G ecosystem
Your OG keeps working.
Not sitting idle.
Use in DeFi:
• Access liquidity
• Participate across the ecosystem
• While maintaining staking exposure
That’s capital efficiency.
Your OG, but working everywhere 🐾
Introducing 0GM-1.0-35B-A3B.
Our first proprietary AI model. Mixture of Experts (MoE), 35B parameters, 3B active per token.
Trained on our own decentralized GPU network. Open source under Apache 2.0.
Hot take 🔥
Most "liquid staking" isn't actually liquid.
If the LST has thin LPs, no lending markets, and zero integrations, it's just a receipt — not a usable asset.
Liquid staking is only as liquid as the DeFi layer around it. That's the work.
The numbers right now:
▸ 18.3M $OG staked through Gimo
▸ 13.02% APR
▸ Multi-validator delegation set (distributed across curated SVs on 0G)
▸ Real-time monitoring for uptime & block proposal success rate
We rebalance based on performance. Underperforming validators get rotated out.
Staking rewards: ~reliable base yield, locks your capital.
DeFi yields: higher upside, requires liquid assets.
Most people pick one.
$stOG lets you stack both. That's it. That's the tweet.
The more $0G that flows into $st0G, the more resilient 0G becomes — and the more capital unlocks for builders to build against.
Liquid staking isn't just a DeFi primitive here. It's infrastructure.