.@inference_labs - A Beginner’s Guide Inference Network makes trustless AGI inevitable: replacing closed, centralized models with a global web of verifiable AI slices. Every computation becomes provable, unstoppable, and resilient by design. Inference enables fault tolerant distributed AI at scale through a targeted, slice-based verification approach. (Architecture details in the graphic) The 4 Pillars of Inference: a. Proof of Inference Every critical AI output is secured with cryptographic proofs — mathematically verified and provable, not based on blind trust. b. Autonomic Forensics Identity and accountability for autonomous systems are anchored to cryptographic verifiability, ensuring certainty and traceability without reliance on assumptions. c. Verifiable Computing Computational integrity is anchored through proof-based validation, enabling certainty at scale, replacing trust with mathematical assurance. d. Hyperscaling AGI Inference Network scales across thousands of nodes, laying the foundation for trustless, global AGI. The protocol has raised $6M+ from @sandeepnailwal, @santiagoroel, @echodotxyz, @Delphi_Ventures & more. Details below. 👇

Good overview my bro

Very clean explanation about Inference, thanks Satyaki!