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ZK + Identity 🆔 Learn about how zero knowledge proofs can give users more control over their digital identities and data online. What else could ZK be used to verify? Drop a reply 👇

26,173 просмотров • 3 лет назад •via X (Twitter)

Комментарии: 8

Фото профиля Phil Kelly ✨
Phil Kelly ✨3 лет назад

Proving the state of one chain as an input to a smart contract on another chain, but doing it more succinctly and with fewer trust assumptions than traditional bridges. “What else” is a great question in zk because there are so may, highly diverse, use cases

Фото профиля comMINAty (httpz) zkok.io
comMINAty (httpz) zkok.io3 лет назад

What about verifying a crypto wallet has held X amount of a token for X amount of time in order to receive rewards, access to discounts etc.

Фото профиля Understanding crypto
Understanding crypto3 лет назад

Hands down the mother of zk

Фото профиля Inquisitor Glokta .₳Ѳ
Inquisitor Glokta .₳Ѳ3 лет назад

So u mean something like: :D

Фото профиля Cfx 空到0
Cfx 空到03 лет назад

You can claim $liuliu's airdrop by owning aldoge

Фото профиля hdm
hdm3 лет назад

svp changer le nom de coin en bla bla bla..coin de merde

Фото профиля W3️⃣BHUB
W3️⃣BHUB3 лет назад

🤔

Фото профиля Mahir Batuhan 🐋
Mahir Batuhan 🐋3 лет назад

I'll pay your team's salary, provided I don't raise the supply. You idiots are selling and raising the supply, if that doesn't work, I'd start a big organization and give your money the hell out of it.

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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

a16z crypto

201,205 просмотров • 1 месяц назад