Just read up on DSperse by @inference_labs! ๐ Itโs a game changer for verifiable AI. Instead of the high cost of full model proofs, it uses a modular "slice" architecture to target verification where it's needed most. Practical, scalable, and secure.
Excited to see how Inference Labs is pushing the boundaries of auditable AI. ๐ The Zealy campaign looks like a great way to dive deeper into their ecosystem and understand how they are bridging the gap between model capability and deployment readiness. @inference_labs
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My main takeaway from the @inference_labs article: the future of AI is verifiable, but it has to be scalable. DSperse proves we don't need to choose between speed and trust. Strategic verification is the way forward
Just dove into the Zealy campaign by @inference_labs and the focus on "auditable autonomy" is actually revolutionary itโs not just about building AI, but proving how it reaches conclusions.
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Just caught up on @inference_labs latest piece on DSperse
Really impressed by how DSperse solves the zkML efficiency bottleneck through targeted verification. By slicing models and focusing proofs on critical layers, it finally makes verifiable AI scalable for real world apps.
Excited to see how @inference_labs is changing the game for Web3 and AI. They are using zero knowledge proofs to make AI smart, safe, and verifiable.Their Zealy campaign is a great way to learn and grow with the community.
First AMA in a little while, Friends!
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