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Recording from my talk: Without Permission, With Programmable Cryptography 🔐 Programmable Cryptography: Reclaim Your Data - ZKPs, MPC, FHE let us use our data in novel ways - Most online data is cryptographically signed (HTTPS, DKIM) - We can make this data portable and use it how we want...

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oskarth

4,187 subscribers

23,756 次观看 • 1 年前 •via X (Twitter)

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tim 的头像
tim1 年前

fk ya oskar!

sweetp 的头像
sweetp1 年前

@haochizzle 🔥🔥🔥

Den ₿ ⚡️ Denver 的头像
Den ₿ ⚡️ Denver1 年前

This "notary" solution doesn't seem to work. Users don't get any help either. Avoid it, it's not reputable

相关视频

How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇
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How do ZK proofs differ from multi-party computations (MPC)? 🤔 With ZK proofs, one person has private data and can prove something about it. Example: Let’s say you want to do a transaction with someone and you want to show them you have enough money. You could prove that without revealing the actual amount. With MPC, you can have many people with private data, and you can run a more complex query - a computation. Example: Let’s say you want to calculate an average salary of 3 friends without anyone revealing their salary. Each person could break down their salary into three parts that sum to the total (e.g. for 150 it might be 50 +500 -400). They give just one piece of that sum to each of the others. These are then summed together and eventually divided to calculate the average. Without anyone knowing anything they shouldn't. That is one way that MPC can work. Replace salary with any confidential data in this example and you get the idea! So, ZK proofs are like binary MPC for 1 person. Each for different use cases. 🤝 Partisia empowers complete data privacy at rest, in transit and in use through MPC, unlocking major use cases in AI, DeFI, Healthcare, RegTech, ID and more. Our founder Ivan, co inventor of the Merkle-Damgard hash function and pioneer of MPC since 1988, explains. 🎙️👇

Partisia Blockchain

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Data DAOs present an unprecedented opportunity to break data silos and enable data sovereignty for individuals and communities Join us in reviewing how Data DAOs work:
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Data DAOs present an unprecedented opportunity to break data silos and enable data sovereignty for individuals and communities Join us in reviewing how Data DAOs work:

Oasis 🌹

29,637 次观看 • 3 年前

We are hiring for Harvey's Retrieval and Data team to expand Harvey to over 1,000 data sources in the 50+ countries we operate in. Our clients use Harvey to do research over legal, financial, tax, and regulatory data around the world. Thread on search + data at Harvey:
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We are hiring for Harvey's Retrieval and Data team to expand Harvey to over 1,000 data sources in the 50+ countries we operate in. Our clients use Harvey to do research over legal, financial, tax, and regulatory data around the world. Thread on search + data at Harvey:

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What is $REPPO? Reppo uses prediction markets to power AI data curation. Publishers submit data and domain experts stake $REPPO to assess quality within Datanets, programmable on-chain markets for any AI use case.
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What is $REPPO? Reppo uses prediction markets to power AI data curation. Publishers submit data and domain experts stake $REPPO to assess quality within Datanets, programmable on-chain markets for any AI use case.

Kraken Listings

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Every day, companies are collecting, tracking, and monetizing our data without our consent. Americans should have a say in how companies use our information, and we need a national privacy law to protect our privacy online.
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Every day, companies are collecting, tracking, and monetizing our data without our consent. Americans should have a say in how companies use our information, and we need a national privacy law to protect our privacy online.

Sen. Marsha Blackburn

35,514 次观看 • 10 个月前

Asked Rafael Stone about lineup data that suggests the Rockets have been better without Jalen Green this season: "That's a really flawed question. There's great data that we have and we use. I can make data say whatever I want it to say. We heavily use it, but we're careful."
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Asked Rafael Stone about lineup data that suggests the Rockets have been better without Jalen Green this season: "That's a really flawed question. There's great data that we have and we use. I can make data say whatever I want it to say. We heavily use it, but we're careful."

Jackson Gatlin

583,170 次观看 • 1 年前

We’ve officially landed on Story. zkPass now empowers Story builders to tap into hundreds of web data sources — while enabling users to generate zero-knowledge proofs without ever revealing their data. With 200M+ computations and 10M+ attestations processed, zkPass now extends trust and privacy to the world of onchain IP. Welcome to the Verifiable Internet. ✅ 🌐
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We’ve officially landed on Story. zkPass now empowers Story builders to tap into hundreds of web data sources — while enabling users to generate zero-knowledge proofs without ever revealing their data. With 200M+ computations and 10M+ attestations processed, zkPass now extends trust and privacy to the world of onchain IP. Welcome to the Verifiable Internet. ✅ 🌐

zkPass

16,311 次观看 • 1 年前

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!
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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Solana ID 🪷

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Imitation learning is great, but needs us to have (near) optimal data. We throw away most other data (failures, evaluation data, suboptimal data, undirected play data), even though this data can be really useful and way cheaper! In our new work - RISE, we show a simple way to *use all of this non-optimal data to robustify imitation learning* with minimal requirements beyond BC. Key idea: use non-expert data to learn how to *recover* back to expert data with a minimal frills offline RL that works under sparse data coverage. Allows usage of *all* available data, not just expert data - never throw your data away! Paper: Website: A 🧵(1/10)

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Stop your iPhone from leaking your personal data. Many of the privacy setting are confusing by design as advertisers pay a ton of money for our data without our knowledge or consent. Decide which ones to keep on and which ones to turn off.
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Stop your iPhone from leaking your personal data. Many of the privacy setting are confusing by design as advertisers pay a ton of money for our data without our knowledge or consent. Decide which ones to keep on and which ones to turn off.

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'How far do we want to go in allowing the government to keep people's data and use it?' Marcus Johnstone discusses the risk the Online Safety Act poses to Brits' data security.
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GB News

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🤷What if we want to learn from human data... without human data? In our work NIL (No-data Imitation Learning) #CVPR2026, we explore a simple but ambitious question: Can robots learn directly from AI-generated videos without any curated demonstration data? 🔗

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Seal MPC is live on Mainnet. Seal is the programmable access layer for data, AI, & digital assets. Builders can now choose between independent key servers, MPC committees, or a combination of both, bringing stronger trust assumptions to encrypted data, AI, & digital assets.
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Seal MPC is live on Mainnet. Seal is the programmable access layer for data, AI, & digital assets. Builders can now choose between independent key servers, MPC committees, or a combination of both, bringing stronger trust assumptions to encrypted data, AI, & digital assets.

Sui

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What if your data worked for you instead of against you? In one of the most gripping talks at ZK Hub ETHDenver, Juan Angel (Juan), Ecosystem Growth at Nillion, made the case for “open but private” data - arguing that blind computation can break data out of corporate silos and let users lease it securely without ever revealing the raw inputs. Through real examples like encrypted genomic data (via Monatic DNA) and incentivized health prediction markets (Stadium Science), Juan painted a future where users hold the encryption keys, opt in to share data selectively, and get paid every time it's used. The biggest takeaway? Not your keys, not your data. This talk is also available to view on the House of ZK YouTube:

House of ZK

65,091 次观看 • 1 年前

Data is 👑 Our foundation model learns from globally diverse, unlabelled data. Without telling it how to drive or naming different scene elements, our AI learns patterns and behaviours. Our results this week demonstrate how rapidly our AI can learn new behaviours, finding that with hundreds of hours worth of country-specific data, our foundation model learns new skills, like driving on the right in the US! See how our Wayve AI Driver improves driving in the US with data from 0-10-100-250-500 hours worth of additional US-specific data. 👇 By leveraging diverse data, we are building a highly generalizable AI that enables safe, adaptable, and scalable autonomy—we’ve taken it to the US and Germany but stay tuned for where is next 🌎⁉️
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Data is 👑 Our foundation model learns from globally diverse, unlabelled data. Without telling it how to drive or naming different scene elements, our AI learns patterns and behaviours. Our results this week demonstrate how rapidly our AI can learn new behaviours, finding that with hundreds of hours worth of country-specific data, our foundation model learns new skills, like driving on the right in the US! See how our Wayve AI Driver improves driving in the US with data from 0-10-100-250-500 hours worth of additional US-specific data. 👇 By leveraging diverse data, we are building a highly generalizable AI that enables safe, adaptable, and scalable autonomy—we’ve taken it to the US and Germany but stay tuned for where is next 🌎⁉️

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17,178 次观看 • 1 年前

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Phil McMannis Phil McMannis, CEO of Beacon Protocol, highlighted the data silos issue in Web3. Because data is created in various locations and requires multiple transfers for AI consumption, it leads to potential losses in trust and privacy, and also creates the problem of scaling. This is what Beacon Protocol and its partners are working on: unlocking private data sources for AI and ensuring fair compensation.

Chainbase (✸,✸)

49,667 次观看 • 1 年前

✨ I made a new thing today: 📑 Whenever I need to quickly copy paste a raw JSON data dump from my app and view it I'd always use json . parser . online . fr but it seems unmaintained, keeps going down, doesn't have HTTPS, and other JSON viewers are full of spyware/malware/tracking scripts So I made this today with a lot of help from ChatGPT to solve it for me and everyone else: visualizes raw JSON data for you, and does it 100% on the client without sending any data to the server But it also secretly supports a lot of other data formats like XML, PHP serialized data, hexadecimal, base64 encoded data, and even binary! And it also works well on mobile! Another one of my little hack projects :D If you want me to add other data types, let me know and I'll add them
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✨ I made a new thing today: 📑 Whenever I need to quickly copy paste a raw JSON data dump from my app and view it I'd always use json . parser . online . fr but it seems unmaintained, keeps going down, doesn't have HTTPS, and other JSON viewers are full of spyware/malware/tracking scripts So I made this today with a lot of help from ChatGPT to solve it for me and everyone else: visualizes raw JSON data for you, and does it 100% on the client without sending any data to the server But it also secretly supports a lot of other data formats like XML, PHP serialized data, hexadecimal, base64 encoded data, and even binary! And it also works well on mobile! Another one of my little hack projects :D If you want me to add other data types, let me know and I'll add them

@levelsio

882,616 次观看 • 1 年前

🔒 ZKEmail enables any developer to implement privacy-preserving verification using AI. Developers on Vana can either verify data through DataDAOs using proof of contribution mechanisms, or create custom registry blueprints for community-specific data verification. ⏩ Listen to the full convo with ZK Email Founder Yush in our recent livespace "Data Sovereignty & Decentralized AI" 👇
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🔒 ZKEmail enables any developer to implement privacy-preserving verification using AI. Developers on Vana can either verify data through DataDAOs using proof of contribution mechanisms, or create custom registry blueprints for community-specific data verification. ⏩ Listen to the full convo with ZK Email Founder Yush in our recent livespace "Data Sovereignty & Decentralized AI" 👇

vana

31,868 次观看 • 1 年前

Most apps and decentralised systems rely on location data. The problem? It's incredibly easy to fake. Your phone can lie. Nodes can pretend they're global but sit in one basement. That's where XYO comes in by using IoT and cryptography to prove location 👇
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Most apps and decentralised systems rely on location data. The problem? It's incredibly easy to fake. Your phone can lie. Nodes can pretend they're global but sit in one basement. That's where XYO comes in by using IoT and cryptography to prove location 👇

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17,149 次观看 • 1 年前

The government are lining up US spy tech company Palantir for a £480m contract to manage our NHS health data. This is being done without transparency and without our consent. We say loud and clear: Palantir, hands off our health data! Steve Barclay
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The government are lining up US spy tech company Palantir for a £480m contract to manage our NHS health data. This is being done without transparency and without our consent. We say loud and clear: Palantir, hands off our health data! Steve Barclay

Just Treatment 💊

88,805 次观看 • 2 年前