Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

SDG V2 Model Live on SecureGPT SDG V1 allowed users to create customized filters for specific data types to be exposed or passed through. With SDG V2, we are taking privacy to the next level by enabling real-time decision-making and data exposure within the filtered data types. SDG V2... show more

ZKCrypt AI

2,652 subscribers

26,211 views • 1 year ago •via X (Twitter)

Health & Wellness News & Politics Science & Technology

Anya Rossi• Live Now

Private livecam show

11 Comments

Bitcoin Buddha1 year ago

LFG

Lucid Scientific, Inc.1 year ago

Expand the possibilities of your metabolic research. Resipher tracks real-time cellular oxygen consumption in standard 96-well plates, delivering continuous real-time data directly from your incubator. Request a free virtual demo or quote today >>

RATUL.ETH plays1 year ago

Diamond hands!

🐺.1 year ago

AAA+ things right here 🐺

Rain1 year ago

Crazy bullish

CryptoSkull 💀 ze last bull standing1 year ago

Fire 🔥

Alexander Balashov1 year ago

Wow! $ZKAI makes history 💎💎💎

Share 🫂1 year ago

Beast $zkai

?1 year ago

Amazing team $ZKAI

CryptoManiac1 year ago

$zkai

Shahul1 year ago

Life, death, and $ZKAI delivering. 3 things that are certain in life irrespective of the market.

Related Videos

AI Data Control - SDG Model V1 Live on SecureGPT! We are thrilled to announce that Selective Data Guard (SDG) v1 is now live on SecureGPT for our beta testers! SecureGPT has always ensured your personal information remains protected during AI interactions, but now, we're taking it a step further. With the SDG model, you gain the power to choose the data you wish to expose. SDG leverages proprietary algorithms to intelligently analyze and cluster similar entities, validating them against the custom rules you define. You now have the ability to specify what data to expose and what data to filter. This allows you to interact with AI agents seamlessly, with full control over your privacy. Your data, your rules—take control of AI interactions like never before!

AI Data Control - SDG Model V1 Live on SecureGPT! We are thrilled to announce that Selective Data Guard (SDG) v1 is now live on SecureGPT for our beta testers! SecureGPT has always ensured your personal information remains protected during AI interactions, but now, we're taking it a step further. With the SDG model, you gain the power to choose the data you wish to expose. SDG leverages proprietary algorithms to intelligently analyze and cluster similar entities, validating them against the custom rules you define. You now have the ability to specify what data to expose and what data to filter. This allows you to interact with AI agents seamlessly, with full control over your privacy. Your data, your rules—take control of AI interactions like never before!

ZKCrypt AI

12,416 views • 1 year ago

SecureGPT X DeepSeek Excited to test out the revolutionary LLM model but worried about DeepSeek’s privacy policy? DeepSeek Privacy Policy states that they may collect various types of user data, including text or audio inputs, prompts, uploaded files, feedback, chat history, or any other content provided to their models and services. We have Got You Covered We have integrated DeepSeek model into SecureGPT, so you don’t need to worry about sensitive data leaking by mistake. SecureGPT sanitizes your user queries, removing any sensitive information before it reaches DeepSeek’s servers. Now, you can interact with AI seamlessly, knowing that your data is fully protected. Enjoy the power of advanced AI without the fear of accidental leaks. SecureGPT Beta Launch Coming Closer in 3 Days! Be excited to get your hands on the future of secure, privacy-first AI interactions.

SecureGPT X DeepSeek Excited to test out the revolutionary LLM model but worried about DeepSeek’s privacy policy? DeepSeek Privacy Policy states that they may collect various types of user data, including text or audio inputs, prompts, uploaded files, feedback, chat history, or any other content provided to their models and services. We have Got You Covered We have integrated DeepSeek model into SecureGPT, so you don’t need to worry about sensitive data leaking by mistake. SecureGPT sanitizes your user queries, removing any sensitive information before it reaches DeepSeek’s servers. Now, you can interact with AI seamlessly, knowing that your data is fully protected. Enjoy the power of advanced AI without the fear of accidental leaks. SecureGPT Beta Launch Coming Closer in 3 Days! Be excited to get your hands on the future of secure, privacy-first AI interactions.

ZKCrypt AI

15,178 views • 1 year ago

SecureGPT is officially LIVE! We are excited to announce that SecureGPT Beta is now open to everyone! After rigorous testing and refinement, our privacy-focused AI platform is ready for you to experience. Try it now: The Privacy Revolution Is Here • End The Data Harvest: In today's world, conventional AI platforms collect every detail you share - your conversations become their data. • Protection For Everyone: Whether you're a healthcare professional bound by HIPAA, a business leader, or privacy-conscious individual. • Power Without Compromise: Get all the capabilities of advanced AI models while maintaining complete control over your sensitive information. What Sets Us Apart • Intelligent Filtering: Our proprietary NER models automatically detect and remove sensitive information before it leaves your device. • Customizable Protection Layers: Configure exactly which types of data deserve protection. • End-to-End Privacy Architecture: Our innovative split system with advanced TOR routing ensures complete anonymity - even we can't identify which user sent what query. Visit us today and discover AI interaction that respects your data sovereignty.

SecureGPT is officially LIVE! We are excited to announce that SecureGPT Beta is now open to everyone! After rigorous testing and refinement, our privacy-focused AI platform is ready for you to experience. Try it now: The Privacy Revolution Is Here • End The Data Harvest: In today's world, conventional AI platforms collect every detail you share - your conversations become their data. • Protection For Everyone: Whether you're a healthcare professional bound by HIPAA, a business leader, or privacy-conscious individual. • Power Without Compromise: Get all the capabilities of advanced AI models while maintaining complete control over your sensitive information. What Sets Us Apart • Intelligent Filtering: Our proprietary NER models automatically detect and remove sensitive information before it leaves your device. • Customizable Protection Layers: Configure exactly which types of data deserve protection. • End-to-End Privacy Architecture: Our innovative split system with advanced TOR routing ensures complete anonymity - even we can't identify which user sent what query. Visit us today and discover AI interaction that respects your data sovereignty.

ZKCrypt AI

19,985 views • 1 year ago

VoiceGuard is Now Live in SecureGPT! We are excited to announce that VoiceGuard is now live in SecureGPT! Sensitive information in your voice interactions is now securely handled and redacted before being sent to the LLM backend. With VoiceGuard, your voice-to-text data is processed securely, ensuring that personal and critical information is protected while interacting with AI. This is a major step toward maintaining privacy and confidentiality during voice-based AI interactions. Enjoy secure, private, and seamless voice-controlled experiences with SecureGPT!

VoiceGuard is Now Live in SecureGPT! We are excited to announce that VoiceGuard is now live in SecureGPT! Sensitive information in your voice interactions is now securely handled and redacted before being sent to the LLM backend. With VoiceGuard, your voice-to-text data is processed securely, ensuring that personal and critical information is protected while interacting with AI. This is a major step toward maintaining privacy and confidentiality during voice-based AI interactions. Enjoy secure, private, and seamless voice-controlled experiences with SecureGPT!

ZKCrypt AI

25,164 views • 1 year ago

SecureGPT Mobile Integration We are thrilled to announce that SecureGPT will be fully integrated with EdgeAI on iOS, bringing our powerful privacy protections directly to your mobile devices! This isn't just another app update - it's a fundamental shift in how you can interact with AI on mobile: • Anonymous Authentication: Your device connects to our services without revealing your identity - even to us • TOR-Protected Queries: Every AI interaction is routed through secure TOR circuits, ensuring complete network privacy • On-Device Sanitization: Your sensitive information is filtered locally before leaving your phone For too long, mobile AI has meant sacrificing privacy. Soon, that changes. Whether you are researching sensitive topics, handling confidential work, or simply value your privacy, you can access the full power of AI without compromising your data.

SecureGPT Mobile Integration We are thrilled to announce that SecureGPT will be fully integrated with EdgeAI on iOS, bringing our powerful privacy protections directly to your mobile devices! This isn't just another app update - it's a fundamental shift in how you can interact with AI on mobile: • Anonymous Authentication: Your device connects to our services without revealing your identity - even to us • TOR-Protected Queries: Every AI interaction is routed through secure TOR circuits, ensuring complete network privacy • On-Device Sanitization: Your sensitive information is filtered locally before leaving your phone For too long, mobile AI has meant sacrificing privacy. Soon, that changes. Whether you are researching sensitive topics, handling confidential work, or simply value your privacy, you can access the full power of AI without compromising your data.

ZKCrypt AI

14,343 views • 1 year ago

It’s time to say “HELL NO” to privacy violations and unwanted data exposure. At Permissionless IV, we asked real people what they’d be comfortable sharing online. The clear takeaway? You should get to choose. Privacy on your terms. Disclosure on your terms.

It’s time to say “HELL NO” to privacy violations and unwanted data exposure. At Permissionless IV, we asked real people what they’d be comfortable sharing online. The clear takeaway? You should get to choose. Privacy on your terms. Disclosure on your terms.

Midnight Foundation

41,850 views • 10 months ago

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!

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 🪷

30,447 views • 1 year ago

Your data is your power—protect it! 🔒 This data privacy day, we remind you to stay vigilant and keep your information safe. Privacy starts with you. #DataPrivacyDay #AReasonToImagine

Your data is your power—protect it! 🔒 This data privacy day, we remind you to stay vigilant and keep your information safe. Privacy starts with you. #DataPrivacyDay #AReasonToImagine

Airtel Nigeria

14,243 views • 1 year ago

Building a truly private AI model isn’t as simple as the tech world wants you to believe. despite all the marketing around one click deployments, RAG systems, fine tuning services, and memory features, we still don’t have models that are genuinely trained only on your personal data with complete privacy from third parties. the reality is that most AI solutions today require you to trust someone else with your books, notes, journals, and training data. even when companies promise privacy, there’s usually a way for the provider or other parties to access your information during training or inference. Phala is taking a different approach by building the infrastructure needed for real data ownership. They’re developing confidential runtime environments where your AI training happens inside secure enclaves with attestation guarantees. The key innovation is their in-enclave keying system through dstack, which means that once your model is training, even Phala themselves cannot see your data or model weights.

Building a truly private AI model isn’t as simple as the tech world wants you to believe. despite all the marketing around one click deployments, RAG systems, fine tuning services, and memory features, we still don’t have models that are genuinely trained only on your personal data with complete privacy from third parties. the reality is that most AI solutions today require you to trust someone else with your books, notes, journals, and training data. even when companies promise privacy, there’s usually a way for the provider or other parties to access your information during training or inference. Phala is taking a different approach by building the infrastructure needed for real data ownership. They’re developing confidential runtime environments where your AI training happens inside secure enclaves with attestation guarantees. The key innovation is their in-enclave keying system through dstack, which means that once your model is training, even Phala themselves cannot see your data or model weights.

soulman 🎮

11,702 views • 8 months ago

GM Cardano ☀️🩵 Big Tech profits from your digital data! Profila gives you the tools to take control, protect your privacy, and even get paid for sharing your data on your terms. Watch my video to find out how they do it :)

GM Cardano ☀️🩵 Big Tech profits from your digital data! Profila gives you the tools to take control, protect your privacy, and even get paid for sharing your data on your terms. Watch my video to find out how they do it :)

Linda

30,705 views • 1 year ago

Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and nic lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!

Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and nic lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!

Andrew Ng

64,538 views • 1 year ago

fixes a gap in crypto privacy. Traditional privacy coins like Monero and Zcash protect transactions, but not computation. App logic, user data, and state transitions are still exposed. Our RISC V privacy runtime brings deterministic execution, zkSNARK proofs, and fast cryptographic precompiles into one framework, letting anyone build private AI, private DeFi, private data collaboration, and private bridges/apps. Privacy moves from value to computation. Now available on the open-source privacy platform (OSPP). Enjoy this fun demo we built. Feel free to replicate the steps and try our RISC V privacy runtime yourself~!

fixes a gap in crypto privacy. Traditional privacy coins like Monero and Zcash protect transactions, but not computation. App logic, user data, and state transitions are still exposed. Our RISC V privacy runtime brings deterministic execution, zkSNARK proofs, and fast cryptographic precompiles into one framework, letting anyone build private AI, private DeFi, private data collaboration, and private bridges/apps. Privacy moves from value to computation. Now available on the open-source privacy platform (OSPP). Enjoy this fun demo we built. Feel free to replicate the steps and try our RISC V privacy runtime yourself~!

Monero-Chan

52,783 views • 7 months ago

I think SūmerSports' SumerBrain will save you time and get you access to better data: *Complex data pulls that would require multiple filters *Advanced charting data for situation specific matchups *Box score stats Just type it in In Beta for free:

I think SūmerSports' SumerBrain will save you time and get you access to better data: Complex data pulls that would require multiple filters Advanced charting data for situation specific matchups *Box score stats Just type it in In Beta for free:

Shawn Syed

658,728 views • 8 months ago

🚨 BREAKING: Typeless as a tool is Now HIPAA & GDPR Compliant and giving everyday users total control over our data! Whether you're a professional or an everyday user of Typeless, you can now feel confident in the security and safety of #Typeless, which has successfully met the rigorous high level privacy & safety standards set in both the US and the EU. — HIPAA (Health Insurance Portability and Accountability Act) compliance guarantees that Typeless manages protected health information (PHI) with the utmost privacy and security standards required in the healthcare sector. — The General Data Protection Regulation (GDPR) is a robust data protection law that outlines how organizations should handle the collection, storage, and processing of personal data belonging to EU residents. Typeless' compliance underscores its dedication to safeguarding user privacy and data rights. The 3 Privacy Pillars: 1. Zero cloud data retention 2. Never trained on your data 3. On-device history storage 🔗 To learn more, visit the Typeless Trust Center at 👉 for detailed compliance policies.

🚨 BREAKING: Typeless as a tool is Now HIPAA & GDPR Compliant and giving everyday users total control over our data! Whether you're a professional or an everyday user of Typeless, you can now feel confident in the security and safety of #Typeless, which has successfully met the rigorous high level privacy & safety standards set in both the US and the EU. — HIPAA (Health Insurance Portability and Accountability Act) compliance guarantees that Typeless manages protected health information (PHI) with the utmost privacy and security standards required in the healthcare sector. — The General Data Protection Regulation (GDPR) is a robust data protection law that outlines how organizations should handle the collection, storage, and processing of personal data belonging to EU residents. Typeless' compliance underscores its dedication to safeguarding user privacy and data rights. The 3 Privacy Pillars: 1. Zero cloud data retention 2. Never trained on your data 3. On-device history storage 🔗 To learn more, visit the Typeless Trust Center at 👉 for detailed compliance policies.

Wesley

285,343 views • 3 months ago

Available to everyone: The new analytics lets you query your data directly from a report in real time using ShopifyQL, for more dynamic and customizable reporting. Everyone has a data warehouse now!

Available to everyone: The new analytics lets you query your data directly from a report in real time using ShopifyQL, for more dynamic and customizable reporting. Everyone has a data warehouse now!

tobi lutke

12,097 views • 1 year ago

Seal is now live on Sui Mainnet! Web3 finally has a native way to handle data privacy and access control. Define who can access your data and when. Encrypt it. Enforce it onchain. Seal + Walrus 🦭/acc unlock the secure data layer Web3 has been missing. Let’s dive in 👇

Seal is now live on Sui Mainnet! Web3 finally has a native way to handle data privacy and access control. Define who can access your data and when. Encrypt it. Enforce it onchain. Seal + Walrus 🦭/acc unlock the secure data layer Web3 has been missing. Let’s dive in 👇

MystenLabs.sui

120,864 views • 9 months ago

🧵The 2023 SDG Atlas is out! At the mid-point in the 2030 Agenda, the #SDGAtlas provides timely data & interactive storytelling & data visualizations to guide decision-making & measure progress towards the #SDGs.

🧵The 2023 SDG Atlas is out! At the mid-point in the 2030 Agenda, the #SDGAtlas provides timely data & interactive storytelling & data visualizations to guide decision-making & measure progress towards the #SDGs.

World Bank Group

25,015 views • 3 years ago

Data ownership & privacy are key to building an internet that benefits & protects its end-users AI is no different — Users’ data must be protected while interacting with AI Oasis' privacy-preserving smart contracts enable users to contribute data to AI models on their own terms

Data ownership & privacy are key to building an internet that benefits & protects its end-users AI is no different — Users’ data must be protected while interacting with AI Oasis' privacy-preserving smart contracts enable users to contribute data to AI models on their own terms

Oasis Labs

32,839 views • 3 years ago

“I Hope Your Customers Sue You Into Oblivion.” During a heated Senate hearing, Sen. Josh Hawley accused 23andMe’s interim CEO Joe Selsavage of misleading users about their ability to permanently delete their data. Hawley cited the company's own privacy policy, which admits that key personal and genetic data may still be retained— even after users delete their accounts. “You lied to them,” Hawley said. “You keep their data, you profit from it, and then pretend they’re in control. They’re not. You are.”

“I Hope Your Customers Sue You Into Oblivion.” During a heated Senate hearing, Sen. Josh Hawley accused 23andMe’s interim CEO Joe Selsavage of misleading users about their ability to permanently delete their data. Hawley cited the company's own privacy policy, which admits that key personal and genetic data may still be retained— even after users delete their accounts. “You lied to them,” Hawley said. “You keep their data, you profit from it, and then pretend they’re in control. They’re not. You are.”

CBS News

73,224 views • 1 year ago

Your personal data is leaked all the time without you realizing—but you can take back control. Privacy doesn’t have to be overwhelming! This Privacy 101 guide shows 6 super easy steps to get started and is perfect to share with family and friends who don’t know where to begin.

Your personal data is leaked all the time without you realizing—but you can take back control. Privacy doesn’t have to be overwhelming! This Privacy 101 guide shows 6 super easy steps to get started and is perfect to share with family and friends who don’t know where to begin.

Naomi Brockwell priv/acc

25,112 views • 1 year ago