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🔵 How Zero-Knowledge Proofs Will Transform Digital Identity "Zero-knowledge proofs are exciting because they let you prove who you are without revealing all your personal information. That’s powerful for privacy!” - Beatrice O’Carroll | $KDA Strategic Advisor BEYOND THE BLOCK #12 ⤵️

14,926 Aufrufe • vor 1 Jahr •via X (Twitter)

10 Kommentare

Profilbild von Crypto Dose
Crypto Dosevor 1 Jahr

This KDA team is COOKING

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❤️ #kadenavor 1 Jahr

You can give subtitles to what is said there in many languages. Make it possible for non-English speakers to understand your project #kadena #bitcoin @kadena_io

Profilbild von Elon Musk family
Elon Musk familyvor 1 Jahr

💥💯🔥

Profilbild von What
Whatvor 1 Jahr

Let's get $KDA to a new all-time high, come on

Profilbild von Average Guy James
Average Guy Jamesvor 1 Jahr

👀👀

Profilbild von L'Arabe du Coin
L'Arabe du Coinvor 1 Jahr

"bridge live in January"

Profilbild von NoVa🅚.ⓚda
NoVa🅚.ⓚdavor 1 Jahr

I share the enthusiasm, it feels amazing. ZK on Kadena, game-changer. Dont miss this folks.

Profilbild von Thee RRuler
Thee RRulervor 1 Jahr

Smells good

Profilbild von azzacalabaza
azzacalabazavor 1 Jahr

When having zero knowledge is a good thing. 🤣

Profilbild von ara 🌷kinda inactive.
ara 🌷kinda inactive.vor 1 Jahr

A superb arbitrage- method. The results are impressive. Check out the video on the developer's profile 📣 @canpemanda

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First Principles Ep. 6 with Shafi Goldwasser What if you could prove something is true without revealing why it’s true? Turing Award winner Shafi Goldwasser tells the origin story of zero-knowledge proofs: how a playful question about playing poker securely over the telephone led her, Silvio Micali, and Charles Rackoff to rethink what a mathematical proof could be. Goldwasser traces those ideas through interactive proofs, the sum-check protocol, SNARKs, and the systems now used to verify computation and preserve privacy on blockchains. She also reflects on why breakthrough ideas are often rejected at first, how toy problems can produce foundational theories, and whether AI systems should have to prove their answers. Hosted by Tim Roughgarden with Justin Thaler 00:00 Intro 03:36 How mental poker inspired zero-knowledge proofs: Proving that something is true without revealing the underlying information 06:30 The simulation paradigm and the meaning of “zero knowledge” 08:33 Why the original paper was repeatedly rejected 10:33 How interactive proofs became more powerful than conventional proofs 13:36 The road to modern SNARKs 19:02 Why the sum-check protocol is so useful for verifiable computation 25:31 Why many so-called “zk proofs” are not actually zero knowledge 34:06 Why toy examples, playfulness, and narratives can produce deep theory 37:23 The role of rigor and computational assumptions in cryptography 42:44 Applying zero-knowledge proofs to law, evidence, and secret software 45:23 Training AI systems to provide proofs alongside their answers 54:27 Why genuinely new ideas are often difficult for experts to recognize

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200,579 Aufrufe • vor 1 Monat