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Oasis Community

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1 August 2026
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There is an inherent trust problem in AI – it is called data sovereignty. There are policies in place that promise privacy, but practically no guardrails. It is “trust me, bro” all over again. But what we need is “trust but verify”. Solution: confidential computation in secure enclaves, verifiable, tamper-proof, and with reproducible attestation. https://x.com/OasisProtocol/status/2082707772064551033
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My last share for today is an invitation to deep dive into the world of privacy and podcasts. Each episode features expert guests and thought leaders giving you a sneak peek and insights into trends and innovations. The Privacy Now podcast also includes episodes from the newly started series, Privacy Talks. Watch on YouTube: https://www.youtube.com/@PrivacyNowWeb3 Listen with Spotify: https://open.spotify.com/show/66rlHpekMmaBZj0P4mAkQ5 Listen with Apple: https://podcasts.apple.com/us/podcast/privacy-now-privacy-web3-and-ai/id1759394046
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Taking my leave for now, my fellow Oasians. Keep enjoying the fantastic weekend. See you all later tomorrow — bye-bye!
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2 August 2026
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Oasians, we need your help! We’re collecting feedback on: 🔹 Rose App & Oasis Explorer 🔹 Mods & Support experience on Discord/Telegram 🔹 What you want better – product, docs, dev support & more! Just fill out the form below, only takes a couple of minutes CommuniTEE Feeeeedback :D
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Greetings Oasians. Good evening or morning, wherever you are. Hope you all are having a sublime Sunday (Saturday evening for a great many other peeps) – restful and enjoyable.
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For a reproducible AI attestation, does the proof bind the model version, policy configuration and input provenance as well as the enclave measurement? Verifying only where execution happened may not be enough to reproduce why a specific output was accepted.
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