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After 15 years building biometric systems, Yanez.ai’s founder now has Bittensor miners trying to break them. On the latest Novelty Search, SN54 team explained how miners attack Yanez’s liveness and deepfake-detection systems with synthetic faces and screen replays, exposing weaknesses the team can fix and test again. The bigger...

25,114 次观看 • 25 天前 •via X (Twitter)

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Right now our experience of the internet is in jeopardy. More than half of our interactions online and onchain come from non-human actors who are not identifiable, not accountable, not verifiable. That means as we look toward a stablecoin payment and AI agent enabled future, how are we going to facilitate payments if we don't know who we're paying? How will applications, display advertising, recommendations work if the counterparty who's interacting with those interfaces and in those digital spaces can’t identify itself as agent or human, or specific human? Or for things like onchain incentives, how can we ensure that tokens and value are arriving at the right users if we cannot tell Sybil accounts and redundant addresses from unique human beings? So for all of these use cases and more, things that touch enterprise and government as well, which we can get into later, we have a very glaring need to bring a layer of identity and trust to the internet that was originally built as a system, a network to communicate amongst computers, but lacked an identity system to acknowledge their users. That's the problem that we are solving with Billions Network. How can we make it really easy for you and the agents who serve you to prove who you are, your traits and capabilities and qualifications, in any space, physical or digital? What that means is that today Billions Network is the first universal human and AI network built with mobile first verification, so you can prove who you are and your agents can prove who they are, starting with comfortable experiences on the devices you already own. So no proprietary hardware. We do not rely on centralized servers to collect user data. Rather, your information, the sensitive data that makes you you, stays securely on your device. And we use zero knowledge proofs as a way to prove traits about you, such as the fact that you're over the age of 21, without revealing that sensitive personal data, such as what your exact birth date is. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Billions

30,867 次观看 • 8 个月前

99% of AI applications are cool-looking demos. Impressive, but don't get fooled by the hype. It takes a lot to build enterprise-grade products that deliver real value. I have at least three weekly conversations with companies that want to use a Large Language Model with their data. The demand is huge! Here is one idea about what you can do to help. The use cases that most of these companies want to solve are similar: They have an extensive knowledge base and want to build a simple application that uses that information to answer questions. In other words, they need help building Retrieval Augmented Generation (RAG) applications they can use in many different scenarios: 1. To train new employees 2. To help their support team 3. To search old meetings and documents 4. To help with their research However, building these systems is not straightforward. Yes, there's a lot of information online, but there aren't enough people who know how to create solutions that work. Here is the idea: Today, you can build an enterprise-grade RAG application without writing code. A couple of MIT PhDs with 10+ years of experience building AI applications created . It's a no-code platform for building applications using Large Language Models. They are partnering with me on this post. You can use Stack AI to create, test, and deploy an end-to-end production-ready AI system. It's SOC-2, HIPAA, and GDPR compliant and offers SSO, role management, access control, and on-premise deployments. Of course, you can use the platform with any LLM on the market now. It's the whole nine yards for building AI applications. Check them out here: 2023 was about models. 2024 is about the tools using these models to build production-ready applications. That's where I'd start.

Santiago

197,702 次观看 • 2 年前

This is so insane Wells Fargo has a real US patent titled “Smart Dust Usage” It’s a system for using tiny airborne microelectromechanical systems, commonly called “smart dust,” for biometric authentication during financial transactions Patent number US11354666B1, granted June 7, 2022 I looked into this and it’s crazy The patent mentions sensors that will - Collect biometric data like heart rate, blood pressure, body temperature, motion, voice, images and more - Be released into the air near the user, like at a payment terminal - Compare that data to a user profile to verify identity before approving a payment Keep in mind this is conceptual, but this shows they are working on it The patent is for future technology. The patent itself is only about biometric authentication for payments, not programmable CBDC But you can see how this could be used for CBDC Once your identity is confirmed, the system communicates with the CBDC network. The transaction only clears if it complies with programmable rules attached to the money, Because the dust collects continuous biometric data during the transaction, the system could theoretically: - Detect “suspicious” behavior (elevated heart rate = possible coercion/fraud). - Link your purchase history, health data, political donations, church giving, books bought, etc., to your CBDC wallet. - Automatically freeze or reverse transactions that violate programmed rules. This is theoretical but you see how this could be terrifying

Wall Street Apes

36,539 次观看 • 2 个月前