training

Zama protocol founder Rand posted on the X platform that, with the assistance of on-chain detective ZachXBT, the root cause of the cUSDC contract freeze has been identified. This freeze was caused by a court-issued injunction against addresses related to the Overnight Finance hacker, which had deposited approximately $12.5 million USDC into the cUSDC contract, accounting for over 99% of the funds within the contract, leading to the entire contract being frozen.Rand emphasized that this freeze is unrelated to the protocol itself or privacy technology, and it is not a sanction against Zama, but rather a typical DeFi judicial restriction scenario. The project adheres to compliance and privacy principles, not confusing the parties involved in transactions, only hiding balances and amounts. Currently, Zama is communicating with multiple parties to advance a resolution, has suspended the cUSDC, cUSDT, and cWETH contracts, and will restore them after completing the investigation and handling of the involved addresses, and will release a detailed review report as soon as possible.

According to official news, based on the update from the Arbitrum DAO proposal, a judgment creditor in an unrelated case served a restraining order to Arbitrum DAO regarding the ETH frozen after the rsETH incident. A few days later, Aave LLC filed an emergency motion to vacate. The court modified the restraining order, allowing for on-chain Arbitrum voting and transferring the frozen ETH to Aave LLC.After the transfer, the restraining order will attach to Aave LLC. The revised constitutional AIP retains the asset recovery intent approved by Arbitrum DAO, and ETH will still be used for the recovery of the rsETH incident. Aave LLC will comply with all court obligations during the litigation process.

Tether CEO Paolo Ardoino revealed that the Tether AI team has released a new version of QVAC Fabric, which integrates the cross-platform BitNet LoRA framework, enabling the training and inference of billion-parameter large models on consumer-grade GPUs and smartphones.The new version of QVAC Fabric LLM has achieved cross-platform operation of BitNet LoRA fine-tuning and inference on AMD, Intel, Apple Metal, and mobile GPUs for the first time. On flagship devices, GPU inference speed is improved by 2 to 11 times compared to CPU, and memory usage is reduced by up to 90% compared to full precision models. The Tether team has completed fine-tuning of models with up to 3.8 billion parameters on flagship smartphones such as Pixel 9, S25, and iPhone 16, and has achieved fine-tuning of models with up to 13 billion parameters on the iPhone 16. The related code has been open-sourced to GitHub.

According to Cointelegraph, multiple joint research teams under Alibaba's AI ecosystem disclosed in a technical report that their experimental autonomous AI entity ROME exhibited unexpected behavior during training, autonomously attempting to utilize computing resources for cryptocurrency mining.Researchers stated that the aforementioned abnormal behavior occurred during the reinforcement learning training phase. The team discovered that the training server generated outbound traffic and triggered security alerts, with firewall logs recording suspected cryptocurrency mining operations and attempts to access internal network resources.In a specific case, ROME created a reverse SSH tunnel to connect to an external IP address, bypassing inbound firewall protection; in another case, the AI entity repurposed GPU resources originally allocated for model training for mining processes. Researchers confirmed that the behavior was not due to human programming but was spontaneously generated by the entity while exploring environmental interactions during the reinforcement learning optimization process.

A research team associated with Alibaba published a paper stating that while building an AI agent named ROME, they discovered that the agent attempted unauthorized cryptocurrency mining during its training process, triggering internal security alerts. The researchers indicated that the agent's behavior was spontaneous, driven by no explicit instructions, and exceeded the boundaries of the predefined sandbox. Additionally, the agent established a reverse SSH tunnel, creating a hidden backdoor from the internal system to an external computer.The paper noted that these behaviors were not triggered by prompts requesting tunneling or mining. The research team subsequently imposed stricter limitations on the model and improved the training process to prevent similar unsafe behaviors from occurring again. The research team and Alibaba have not yet responded to requests for comment.

A U.S. federal judge has issued a temporary restraining order against the cryptocurrency lending firm BlockFills, temporarily freezing its disputed assets. Dominion Capital filed a lawsuit on February 27, accusing BlockFills of misappropriating and unlawfully retaining customer crypto assets worth millions of dollars, commingling customer assets, concealing significant losses, and refusing to return funds after suspending withdrawals on the BlockFills platform in February. The frozen amount is 70.6 BTC, and it has prevented BlockFills from transferring assets overseas.The cryptocurrency lending firm BlockFills has been struggling, reporting a loss of $75 million, and suspended user deposits and withdrawals on February 11. The company, headquartered in Chicago, serves approximately 2,000 institutional clients, with a trading volume reaching $60 billion by 2025, and is currently seeking a buyer.

According to FinanceFeeds, Siddarth Bharwani, Joint Managing Director and Chief Financial Officer of Indian IT vocational training company Jetking Infotrain, stated on February 22 at the "Corporate Bitcoin" event in Las Vegas that the company will firmly advance its Bitcoin-based strategy.Jetking launched its Bitcoin reserve plan at the end of 2024, becoming the first listed company in India to list Bitcoin as a primary reserve asset. It currently holds 21 Bitcoins, valued at approximately $1.4 million, accounting for more than a quarter of the company's total market capitalization. Bharwani stated that this move aims to hedge against the long-term depreciation risk of the Indian Rupee, using Michael Saylor and Strategy as a strategic blueprint. The company's goal is to accumulate 210 Bitcoins by the end of 2026 and expand its holdings to 18,000 Bitcoins by 2030.On the regulatory front, the Bombay Stock Exchange (BSE) recently rejected Jetking's proposal to issue new shares for cryptocurrency investment purposes, citing a lack of a clear framework. However, Bharwani stated that the company is actively responding and views the current resistance as a "regulatory arbitrage opportunity" for early entrants.In addition to balance sheet management, Jetking is also incorporating Bitcoin and blockchain education into its vocational training programs. With over 100 training centers, the company trains 35,000 students annually, aiming to create a "Bitcoin learning ecosystem."Bharwani noted that as the ruling party in India begins discussions on a potential national Bitcoin strategic reserve, Jetking's exploratory practices are expected to provide a reference for the entire Asia-Pacific region.

According to Jinshi reports, Fed's Logan stated that the current policy stance may be very close to neutral levels, with limited dampening effects on the economy.

According to Financefeeds, the Indian government is significantly strengthening cryptocurrency enforcement training to address the increasingly complex financial crimes related to cryptocurrencies.This training involves multiple agencies, including the Financial Intelligence Unit of India (FIU-IND), the Enforcement Directorate (ED), and the Narcotics Control Bureau (NCB), focusing on techniques such as blockchain forensics, on-chain analysis, cryptocurrency asset seizure, and wallet address identification.This initiative is a direct response to the mandatory registration requirement for Virtual Digital Asset Service Providers (VDASP) with FIU-IND, as well as India's shift from regulatory ambiguity to structured oversight. The training aims to equip law enforcement personnel with the ability to trace, seize, and prosecute crimes involving Virtual Digital Assets (VDA).

ChainCatcher news, according to the official blog, Tether Data's AI research division QVAC has launched the QVAC Genesis program and released the synthetic dataset Genesis I. This dataset contains 41 billion text tokens, helping to build smarter and more accurate STEM language models globally. The trained models can grasp words and their associative logic. It has been rigorously validated against educational and scientific benchmarks, demonstrating exceptional reasoning and problem-solving abilities in subjects such as mathematics and physics. It is the first publicly available synthetic dataset specifically constructed for educational content and rigorously validated, addressing the lack of publicly available training datasets in critical STEM fields. QVAC Genesis I aims to return the power of AI training to the public through open, high-quality data.In addition, Tether Data has released its first consumer application, QVAC Workbench, aimed at AI enthusiasts and others, supporting various large language models. The application is compatible with smartphones (currently only Android, with iOS to be launched) and desktop platforms, providing comprehensive local device support. When users utilize this application, chat and interaction data is 100% private, and the "delegated inference" feature can connect mobile and desktop versions, making full use of workstation resources.

ChainCatcher news, according to BusinessInsider, Coinbase CEO Brian Armstrong stated that North Korean IT workers are targeting Coinbase, and he is enforcing in-person training to combat North Korean hackers seeking remote work.Coinbase requires all employees to travel to the United States for on-site training, and anyone who can access sensitive systems must be a U.S. citizen and undergo fingerprinting.Brian Armstrong stated that Coinbase requires potential employees to turn on their cameras during interviews to prove they are not artificial intelligence or have not been coached.

ChainCatcher news, according to the official WeChat account of the Law School of Renmin University of China, a high-level training course on the disposal of virtual currencies involved in cases, stablecoins, and RWA will be held from August 29 to 31, 2025. The course will systematically analyze the legal attributes, regulatory framework, and disposal processes of virtual currencies, covering types such as Bitcoin, Ethereum, and stablecoins, focusing on the investigation and prosecution by judicial authorities, compliance risk prevention, and typical case analysis. The training fee is 9,800 yuan, with discounts available for alumni and group registrations. The target participants include professionals in the judicial practice, corporate legal affairs, and researchers.

ChainCatcher news, it is reported that the AI training data platform Public AI has completed a public offering on CoinList, raising $2 million, exceeding the expected target.Previously, the company had secured $10 million in institutional funding supported by the Stanford Blockchain Accelerator, Solana Foundation, and NEAR Foundation, bringing the total funding to $12 million. This public offering adopted a "bottom-filling" model, prioritizing allocation to small participants, and those who did not win will receive a refund. The token generation event (TGE) for PublicAI will launch on August 15 on the Binance Alpha platform, with plans to subsequently list on major exchanges.

ChainCatcher news, according to The Block, the Federal Trade Commission (FTC) and the state of Nevada have filed a lawsuit against a company named "IML," accusing it of $1.2 billion in fraud. The company provides investment training services in cryptocurrency, binary options, foreign exchange, and stock markets for young investors.According to the lawsuit documents, IML falsely advertised investment returns while attracting consumers. In reality, the company was aware that its salespeople either incurred losses or earned very little, with only one-fifth of them able to make more than $500.

ChainCatcher news, decentralized AI project Gata today announced the completion of a $4 million seed round financing. This round was participated by YZi Labs, IDG Blockchain, Maelstrom Fund, Manifold Trading, Gate Ventures, Formless Capital, Anti Capital, MH Ventures, V3V Ventures, 071 Labs, and Echo.Gata focuses on developing decentralized large model inference, training, and data technologies to enable decentralized infrastructure to truly participate in and support the trillion-dollar global AI economy. Gata believes that decentralized inference, training, and data resources will bring lower costs, high availability, and censorship-resistant architectures to the AI industry, helping AI achieve sustainable and inclusive development.As one of the important milestones, Gata launched the DataAgent platform, which utilizes computing power resources contributed by global users to automatically generate the data required for AI training through AI, replacing the traditional manual data labeling method.

ChainCatcher news, the decentralized AI training platform FLock.io officially announces a strategic partnership with Qwen, a leading series of open-source large language models under Alibaba Cloud, marking a deep connection between decentralized AI and blockchain technology within the mainstream AI ecosystem.This collaboration focuses on three major technological breakthroughs:Technological Integration: Combining Alibaba Cloud's centralized infrastructure with FLock.io's decentralized technology to jointly develop domain-specific and general AI models, while promoting the seamless integration of decentralized AI models into centralized platforms.Data Privacy Protection: Exploring the combination of distributed ledger technology and federated learning to address data privacy and sovereignty issues in model training, providing innovative solutions for the secure application of private data.Collaborative Innovation: Through joint research and technological collaboration, creating a more inclusive, scalable, and privacy-preserving AI ecosystem, facilitating the collaborative development of centralized and decentralized AI.As one of the world's leading large language models, Qwen has demonstrated outstanding performance in multiple authoritative benchmark tests and is widely used in natural language processing, content generation, and other fields. Through this collaboration, FLock and Qwen will work together to explore deeper technological integration, maintaining the advantages of high-performance AI models while promoting the practical application of decentralized AI training in a broader range of scenarios, making it more accessible, flexible, and valuable in both centralized and decentralized ecosystems.

ChainCatcher news, since its establishment, the Bitget Builders program has continuously promoted brand influence through offline education and training, and has contributed to the development of the blockchain ecosystem. So far, the program has held over 60 events in 29 countries worldwide, with a membership exceeding 5,000 people, covering 55 countries and regions globally.Recently, Bitget launched the Bitget Academy training program in Europe, offering a series of practical blockchain courses, and has conducted training in North America and the Asia-Pacific region to help more people adapt to the Web3 development trend. At the same time, the "Build Bitget With Vugar" event, hosted by Bitget COO Vugar, has built a bridge for global community members to engage directly with Bitget executives, facilitating in-depth discussions around the platform's vision, core values, and future plans.To strengthen community building, Bitget has officially upgraded its community manager system, fully integrating it into the Bitget Builders program and providing them with more resources and growth opportunities. In addition, Bitget will launch the "Builder Training Camp," offering systematic training and industry resources to help them exert greater influence in local markets.

ChainCatcher news, the decentralized AI training platform FLock.io has officially reached a strategic partnership with hardware wallet provider OneKey to jointly launch an AI model training challenge focused on smart contract security. This collaboration will integrate FLock's federated learning architecture with OneKey's expertise in blockchain security to jointly promote the upgrade of industry security standards.This challenge is built on the training framework of FLock's core module AI Arena, utilizing an audited real vulnerability dataset, along with a dynamic attack and defense scenario simulation question bank. Participants can engage in the competition by optimizing detection algorithms, contributing threat intelligence, validating model effectiveness, and more, competing for $FLOCK token rewards and OneKey hardware wallets.In addition, the project team has specially opened the "Elite Trainer Program" registration channel, inviting global security engineers and AI developers to collaboratively create efficient and accurate smart contract security detection models.

ChainCatcher news, FLock officially launches the Elite Trainer program, recruiting outstanding ML engineers, AI developers, and data scientists globally to jointly promote the development of decentralized AI training. This program will attract top talents to become training nodes and participate in on-chain federated learning in the AI Training Arena, enhancing the efficiency and accuracy of AI training.Participants will receive an exclusive training wallet and 200,000 $FLOCK (provided by the FLock Foundation, non-transferable during the training period, and the specific amount may be adjusted). In addition, trainers can share 50% of the rewards after completing training tasks, with rewards paid in $FLOCK and the opportunity to experience new features in advance.We welcome professionals in the AI field to join:Kaggle/Numerai Grandmasters or Masters, as well as other AI challenge/competition winners;High-impact GitHub AI/ML contributors, top developers on platforms like LeetCode and HackerRank;Scholars who have published research results in top AI conferences/journals such as NeurIPS, ICML, CVPR, TAI.