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.

ChainCatcher news, according to Jin10, DeepSeek has launched NSA.DeepSeek claims that NSA is a hardware-consistent and natively trainable sparse attention mechanism designed for ultra-fast long-context training and inference. By optimizing the design for modern hardware, NSA accelerates inference speed while reducing pre-training costs without compromising performance.In general benchmarks, long-context tasks, and instruction-based reasoning, its performance is comparable to or even better than that of full attention models.

ChainCatcher News, the U.S. Department of Efficiency (DOGE) posted on X stating that today, the Department of Education has terminated 29 DEI training grants totaling $101 million.One of the grants aimed to train teachers "to help students understand/explore the complex history involved in oppression and to help students identify areas of privilege and power on both personal and collective bases."

ChainCatcher news, according to Cointelegraph, the $6 million AI training cost in the DeepSeek report is misleading, as this data only covers the final stage and does not include key infrastructure and R&D expenses. The actual total investment is expected to be close to $1 billion, revealing the true scale of their investment.

ChainCatcher news, according to Cointelegraph, American tech giant Microsoft plans to invest $3 billion over the next two years to expand its cloud computing and artificial intelligence capabilities in India. This investment includes a partnership with the Indian government on an AI-focused initiative called INDIAai, which aims to provide AI training for 500,000 people and establish new data centers.Additionally, Microsoft has signed strategic partnerships with RailTel, Apollo Hospitals, Bajaj Finserv, Mahindra Group, and upGrad. Microsoft will also provide benefits from the Founders Hub program to up to 1,000 AI startups in India, such as Azure credits, business resources, and mentorship.

ChainCatcher news, according to TechCrunch, Elon Musk stated during a live conversation with Stagwell Chairman Mark Penn that the training of current AI models has largely exhausted real-world data, "We have exhausted the cumulative sum of human knowledge, which happened last year." Musk's views align with those of former OpenAI Chief Scientist Ilya Sutskever, who suggested at the NeurIPS machine learning conference that the AI industry has reached a "data peak," and that the way models are developed may need to change in the future.Musk believes that synthetic data will be a way to supplement real data, and AI will achieve self-learning through generating and self-evaluating data. This trend has been adopted by tech giants including Microsoft, Meta, OpenAI, and Anthropic, with models like Microsoft's Phi-4 and Google's Gemma combining real and synthetic data for training. Gartner predicts that by 2024, about 60% of data in AI and analytics projects will be synthetically generated.The advantages of synthetic data include cost savings; for example, the AI startup Writer spent only about $700,000 to develop its nearly entirely synthetic data-based Palmyra X 004 model, whereas the development cost for a similarly scaled OpenAI model is about $4.6 million. However, synthetic data also carries risks, including a decrease in model creativity, increased output bias, and potential model collapse, especially when the training data itself is biased, which can also affect the generated results.

ChainCatcher message, DWF Labs stated that they are training an AI agent and have released a link for public access.

ChainCatcher news, Musk posted on the X platform that Grok 3 is coming soon, the pre-training is complete, and the computational power is 10 times that of Grok 2.

ChainCatcher news, according to Chainwire, the decentralized AI training network Nodepay has announced the completion of its second round of financing, totaling $7 million. The latest round of investors includes IDG Capital, Mythos, Elevate Ventures, IBC, Optic Capital, Funders.VC, Etherscan founder Matthew Tan, and CoinHako co-founder and CEO Yusho Liu. Previous investors in Nodepay's financing include Animoca Brands, Mirana, OKX Ventures, JUMP Crypto, and Tokenbay Capital.According to reports, Nodepay is a decentralized AI training network dedicated to democratizing AI training through real-time data retrieval. By converting idle internet bandwidth into resources, Nodepay powers the next generation of AI models.

ChainCatcher news, the decentralized AI training platform FLock announced the completion of a $3 million strategic round of financing, bringing the total financing to $11 million. This round of financing was led by Grayscale's parent company, Digital Currency Group (DCG), with Lightspeed Faction participating in a follow-on round, along with strategic partners such as Animoca Brands, Fenbushi Capital, GnosisVC, GSR Ventures, OKCoinJapan, Bas1s Ventures, and A41. This round of financing will enable FLock to advance the democratization of AI model development and continue to build a decentralized AI training platform.FLock aims to address issues such as lack of transparency, weak data privacy, and unfair compensation for contributors in traditional centralized AI systems through blockchain technology. With its decentralized collaboration model, data remains local and does not need to be uploaded to third parties, allowing contributors to fairly share the benefits derived from data, computing power, and feedback, giving everyone the opportunity to participate in AI development.

ChainCatcher news, according to Cointelegraph, OpenAI co-founder Ilya Sutskever stated at the NeurIPS 2024 conference in Vancouver that the era of AI pre-training is coming to an end, and the era of AI superintelligence is approaching. He compared data to fossil fuels, pointing out that the growth of internet data has peaked, while the growth rate of computing power has surpassed the total amount of available training data.Sutskever predicts that the next phase of AI development will be dominated by three main directions: autonomous AI agents, synthetic data, and computational reasoning.

ChainCatcher news, Binance co-founder Zhao Changpeng posted on X: "The last use case for humanity is training artificial intelligence."