The @inference_labs Zealy campaign introduced me to verifiable AI. Learning how AI outputs can be proven instead of blindly trusted is what makes this project stand out. Looking forward to what's next.
Exploring the @inference_labs Zealy campaign has been a great learning experience. The focus on verifiable AI and Proof of Inference shows why trust will be a key part of AI's future. Excited to follow the project's growth.
Hot take: The most important AI breakthrough of this decade might not be intelligence.
It might be proof.
Without verification, we're scaling trust assumptions. With verifiable AI, we're scaling certainty.
key takeaway from DSperse by @inference_labs:
Not every AI computation needs full verification. By proving only the most important parts, DSperse makes zkML more efficient, scalable, and practical for real-world applications. :::
Big fan of what @inference_labs is doing with verifiable AI. By using zk-ML and Proof of Inference, they are shifting us away from black-box AI to mathematically provable tech.
If you want to support the ecosystem, their Zealy campaign is livegreat way to dive in and learn! 🛠️🤖
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Web3 gave us decentralized value, but Web3 + AI is where things get wild. As autonomous agents become a part of our daily digital lives, we can't just blindly trust black-box outputs.
Really aligned with the @inference_labs vision of creating "sovereign agents".
Running full zkML on huge models is too slow. DSperse by @inference_labs fixes this with "model slicing"—breaking neural networks down into manageable parts to make zero-knowledge proofs highly parallel and practical for real-world AI inference. 🛠️🤖
**Loving what @inference_labs is building with Proof of Inference.** Turning AI outputs into verifiable, on-chain proofs is huge for trust in agents and autonomy. Just jumped into their Zealy Season 7 — solid quests and strong community. Excited to see verifiable AI scale! 🚀