Decentralized OORT AI data hits top ranks on Google Kaggle

By: cryptosheadlines|2025/05/14 21:00:15

Airdrop Is Live CaryptosHeadlines Media Has Launched Its Native Token CHT. Airdrop Is Live For Everyone, Claim Instant 5000 CHT Tokens Worth Of $50 USDT. Join the Airdrop at the official website, CryptosHeadlinesToken.com An artificial intelligence training image data set developed by decentralized AI solution provider OORT saw considerable success on Google’s platform Kaggle.OORT’s Diverse Tools Kaggle data set listing was released in early April; since then, it has climbed to the first page in multiple categories. Kaggle is a Google-owned online platform for data science and machine learning competitions, learning and collaboration. Ramkumar Subramaniam, core contributor at crypto AI project OpenLedger, told Cointelegraph that “a front-page Kaggle ranking is a strong social signal, indicating that the data set is engaging the right communities of data scientists, machine learning engineers and practitioners.“Max Li, founder and CEO of OORT, told Cointelegraph that the firm “observed promising engagement metrics that validate the early demand and relevance” of its training data gathered through a decentralized model. He added:“The organic interest from the community, including active usage and contributions — demonstrates how decentralized, community-driven data pipelines like OORT’s can achieve rapid distribution and engagement without relying on centralized intermediaries.“Li also said that in the coming months, OORT plans to release multiple other data sets. Among those is an in-car voice commands data set, one for smart home voice commands and another one for deepfake videos meant to improve AI-powered media verification.Related: AI agents are coming for DeFi — Wallets are the weakest linkFirst page in multiple categoriesThe data set in question was independently verified by Cointelegraph to have reached the first page in Kaggle’s General AI, Retail & Shopping, Manufacturing, and Engineering categories earlier this month. At the time of publication, it lost those positions following a possibly unrelated data set update on May 6 and another on May 14.OORT’s data set on the first Kaggle page in Engineering category. Source: KaggleWhile recognizing the achievement, Subramaniam told Cointelegraph that “it’s not a definitive indicator of real-world adoption or enterprise-grade quality.” He said that what sets OORT’s data set apart “is not just the ranking, but the provenance and incentive layer behind the data set.” He explained:“Unlike centralized vendors that may rely on opaque pipelines, a transparent, token-incentivized system offers traceability, community curation, and the potential for continuous improvement assuming the right governance is in place.“Lex Sokolin, partner at AI venture capital firm Generative Ventures, said that while he does not think these results are hard to replicate, “it does show that crypto projects can use decentralized incentives to organize economically valuable activity.”Related: Sweat wallet adds AI assistant, expands to multichain DeFiHigh-quality AI training data: a scarce commodityData published by AI research firm Epoch AI estimates that human-generated text AI training data will be exhausted in 2028. The pressure is high enough that investors are now mediating deals giving rights to copyrighted materials to AI companies.Reports concerning increasingly scarce AI training data and how it may limit growth in the space have been circulating for years. While synthetic (AI-generated) data is increasingly used with at least some degree of success, human data is still largely viewed as the better alternative, higher-quality data that leads to better AI models.When it comes to images for AI training specifically, things are becoming increasingly complicated with artists sabotaging training efforts on purpose. Meant to protect their images from being used for AI training without permission, Nightshade allows users to “poison” their images and severely degrade model performance.Model performance per number of poisoned images. Source: TowardsDataScienceSubramaniam said, “We’re entering an era where high-quality image data will become increasingly scarce.” He also recognized that this scarcity is made more dire by the increasing popularity of image poisoning:“With the rise of techniques like image cloaking and adversarial watermarking to poison AI training, open-source datasets face a dual challenge: quantity and trust.”In this situation, Subramaniam said that verifiable and community-sourced incentivized data sets are “more valuable than ever.” According to him, such projects “can become not just alternatives, but pillars of AI alignment and provenance in the data economy.“Magazine: AI Eye: AI’s trained on AI content go MAD, is Threads a loss leader for AI data?Source link

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Mixin has launched USTD-margined perpetual contracts, bringing derivative trading into the chat scene.

The privacy-focused crypto wallet Mixin announced today the launch of its U-based perpetual contract (a derivative priced in USDT). Unlike traditional exchanges, Mixin has taken a new approach by "liberating" derivative trading from isolated matching engines and embedding it into the instant messaging environment.

Users can directly open positions within the app with leverage of up to 200x, while sharing positions, discussing strategies, and copy trading within private communities. Trading, social interaction, and asset management are integrated into the same interface.

Simplified Trading Experience: No KYC Required, Opening a Position in Five Steps

Based on its non-custodial architecture, Mixin has eliminated friction from the traditional onboarding process, allowing users to participate in perpetual contract trading without identity verification.

The trading process has been streamlined into five steps:

· Choose the trading asset

· Select long or short

· Input position size and leverage

· Confirm order details

· Confirm and open the position

The interface provides real-time visualization of price, position, and profit and loss (PnL), allowing users to complete trades without switching between multiple modules.

Social-Native Trading: Strategy and Execution Completed in the Same Context

Mixin has directly integrated social features into the derivative trading environment. Users can create private trading communities and interact around real-time positions:

· End-to-end encrypted private groups supporting up to 1024 members

· End-to-end encrypted voice communication

· One-click position sharing

· One-click trade copying

On the execution side, Mixin aggregates liquidity from multiple sources and accesses decentralized protocol and external market liquidity through a unified trading interface.

By combining social interaction with trade execution, Mixin enables users to collaborate, share, and execute trading strategies instantly within the same environment.

Referral Mechanism: Non-institutional users can receive up to 60% fee split

Mixin has also introduced a referral incentive system based on trading behavior:

· Users can join with an invite code

· Up to 60% of trading fees as referral rewards

· Incentive mechanism designed for long-term, sustainable earnings

This model aims to drive user-driven network expansion and organic growth.

Self-Custody Architecture and Built-in Privacy Mechanism

Mixin's derivative transactions are built on top of its existing self-custody wallet infrastructure, with core features including:

· Separation of transaction account and asset storage

· User full control over assets

· Platform does not custody user funds

· Built-in privacy mechanisms to reduce data exposure

The system aims to strike a balance between transaction efficiency, asset security, and privacy protection.

A New Path for On-Chain Derivatives

Against the background of perpetual contracts becoming a mainstream trading tool, Mixin is exploring a different development direction by lowering barriers, enhancing social and privacy attributes.

The platform does not only view transactions as execution actions but positions them as a networked activity: transactions have social attributes, strategies can be shared, and relationships between individuals also become part of the financial system.

Regulatory Background

Mixin's design is based on a user-initiated, user-controlled model. The platform neither custodies assets nor executes transactions on behalf of users.

This model aligns with a statement issued by the U.S. Securities and Exchange Commission (SEC) on April 13, 2026, titled "Staff Statement on Whether Partial User Interface Used in Preparing Cryptocurrency Securities Transactions May Require Broker-Dealer Registration."

The statement indicates that, under the premise where transactions are entirely initiated and controlled by users, non-custodial service providers that offer neutral interfaces may not need to register as broker-dealers or exchanges.

About Mixin

Mixin is a decentralized, self-custodial privacy wallet designed to provide secure and efficient digital asset management services.

Its core capabilities include:

· Aggregation: integrating multi-chain assets and routing between different transaction paths to simplify user operations

· High liquidity access: connecting to various liquidity sources, including decentralized protocols and external markets

· Decentralization: achieving full user control over assets without relying on custodial intermediaries

· Privacy protection: safeguarding assets and data through MPC, CryptoNote, and end-to-end encrypted communication

Mixin has been in operation for over 8 years, supporting over 40 blockchains and more than 10,000 assets, with a global user base exceeding 10 million and an on-chain self-custodied asset scale of over $1 billion.

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