AI is starving for GPU power.
Big Tech controls most of the available compute.
the cost of computation has surged over 800% in just two years.
→ Gensyn emerges as the “solution” to unlock global compute power.
“hey Kaiz, what do you think about @gensynai?”
scroll down ↓ (🧵)
1. What problem is Gensyn trying to solve?
• compute resources are monopolized by Big Tech.
• smaller teams can’t access large-scale training resources.
• GPU costs have increased by more than 800% in just two years.
→ the world needs a decentralized, verifiable, and more affordable compute infrastructure.
2. What impresses me about Gensyn
• focused on a “verifiable training” model.
• a specialized Layer 1 for Machine Learning compute.
• enables AI training on a globally distributed network.
• open-source components: rl-swarm, blockassist, skippipe.
• raised $50.6M from a16z, CoinFund, Canonical Crypto, Protocol Labs, Eden Block, and others.
3. How does Gensyn solve this problem?
it’s not just about sharing GPUs.
@gensynai builds a verifiable compute architecture:
> execution: runs distributed ML tasks.
> coordination: orchestrates tasks and rewards.
> communication: synchronizes data efficiently.
> verification: ensures correctness through a “refereed delegation” mechanism.
4. Gensyn’s intelligent verification mechanism
instead of re-checking the entire computation.
the network only “re-computes” the parts where discrepancies occur between nodes.
→ this reduces costs, increases efficiency, and preserves transparency.
5. When AI training becomes an open market
@gensynai turns AI compute into a permissionless marketplace:
> no intermediaries, no gatekeepers.
> AI developers can purchase compute directly.
> anyone with GPUs can contribute to the network.
> all transactions and rewards are settled on-chain.
6. What they’ve achieved so far
• the RL-Swarm testnet is live.
• published research on “Verifiable ML”.
• the Judge system is actively verifying model outputs.
• established a reward framework for compute nodes.
7. I see a bigger vision from Gensyn
they’re not just trying to share GPUs.
they aim to rebuild the entire AI infrastructure:
> reduce AI costs on a global scale.
> empower anyone to train their own models.
> build a decentralized, transparent, and efficient compute layer.
8. In summary, what is Gensyn?
@gensynai → a compute marketplace for AI.
a major leap in the DePIN + AI wave.
> no intermediaries, no gatekeepers.
> unlocking the ability for anyone to train AI.
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