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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 views • 1 year ago •via X (Twitter)

10 Comments

Crypto Dose's profile picture
Crypto Dose1 year ago

This KDA team is COOKING

❤️ #kadena's profile picture
❤️ #kadena1 year ago

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

Elon Musk family's profile picture
Elon Musk family1 year ago

💥💯🔥

What's profile picture
What1 year ago

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

Average Guy James's profile picture
Average Guy James1 year ago

👀👀

L'Arabe du Coin's profile picture
L'Arabe du Coin1 year ago

"bridge live in January"

NoVa🅚.ⓚda's profile picture
NoVa🅚.ⓚda1 year ago

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

Thee RRuler's profile picture
Thee RRuler1 year ago

Smells good

azzacalabaza's profile picture
azzacalabaza1 year ago

When having zero knowledge is a good thing. 🤣

ara 🌷kinda inactive.'s profile picture
ara 🌷kinda inactive.1 year ago

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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