Crynux (crynux.io) (CNX)

This is exactly the kind of feature DeAI needs if it wants to onboard more than just power users.

Running AI infrastructure shouldn't require everyone to own a GPU or know how to operate a node.

That's why I like what $CNX is doing with delegated staking.

For anyone unfamiliar, @crynuxio is building a permissionless AI compute network powered by everyday hardware.

Home PCs with NVIDIA GPUs.
Apple Silicon Macs.
Cloud instances.

Instead of relying on massive centralized data centers, AI workloads like inference, fine-tuning, and image generation are distributed across a global network of edge devices.

Now, if you hold $CNX, you don't need to run hardware to participate.

You can simply:

• Connect your wallet to the Crynux Portal
• Browse available node operators
• Delegate your $CNX

The operator runs the infrastructure.

You earn a share of the rewards generated from real AI compute tasks.

It's a much lower barrier to entry.

Not everyone has an 8GB+ GPU sitting idle.

Not everyone wants to deal with setup, monitoring, or maintenance.

Delegated staking lets those users still participate in the network.

It also creates better alignment.

Node operators receive more stake backing reliable infrastructure.

Delegators earn without operational overhead.

As more AI workloads flow through the network, both benefit.

大多数 AI 项目都在推同样的宣传点

闲置 GPU、代币奖励以及“去中心化”。

没有人解释如何实际验证匿名机器是否诚实地完成了 AI 工作。

我们在上周的 AMA 中向 @crynuxio 提出了同样的问题：

https://t.co/moRk7wIMfo

他们的回答是 vssML：确定性执行 + 秘密任务抽样 + 对抽样本身的 ZK 证明（整个模型的证明目前尚不可行）。

节点永远不知道哪些任务会被检查，因此它们无法选择性作弊。正是这种共识优先的方式真正将它们与 $TAO / $IO 群体区分开来，而不仅仅是另一个附带代币的 GPU 市场。

他们的 Lithium 主网已上线。

您可以立即运行节点、委托权益给节点，或接入他们的 OpenAI 兼容 API。T

长期目标：让更小的开源模型变得低廉且易获取，而不是在前沿追逐 OpenAI。

在 AMA 中，Luke 深入探讨了共识设计、为何 ZK 证明在完整神经网络上失败、任务定价机制（类似 gas 费，而非固定定价）、节点 onboarding 步骤，以及他们对 $CNX 和网络在未来 4-5 年的预期。