Báo cáo nghiên cứu mới nhất từ ​​tổ chức nghiên cứu đầu tư Messari đã phân tích chi tiết Merlin Chain, chỉ ra rằng nền tảng này, với tư cách là Bitcoin Layer 2 tương thích với EVM hàng đầu, đang đi đầu trên thị trường trong việc tích hợp tài sản gốc Bitcoin. Báo cáo nhấn mạnh rằng tổng giá trị bị khóa (TVL) của Merlin Chain đạt 3,5 tỷ USD vào tháng 3 năm 2024, chứng tỏ sự tăng trưởng mạnh mẽ và được áp dụng rộng rãi trên thị trường. Merlin Chain được xây dựng bằng Polygon CDK và có kế hoạch chuyển sang giải pháp không kiến ​​thức lớp thứ hai của Bitcoin, thể hiện cách tiếp cận hướng tới tương lai của nó đối với tính thực tế và đổi mới công nghệ blockchain. Báo cáo cũng đề cập cụ thể rằng hệ sinh thái của Merlin Chain xoay quanh các tài sản gốc của Bitcoin (chẳng hạn như Ordinals, BRC-20 và Runes) và các ứng dụng của nó bao gồm các lĩnh vực DeFi, trò chơi, AI và SocialFi, cho thấy việc mở rộng vai trò lãnh đạo của Bitcoin trong việc sử dụng rộng rãi hơn trong hệ sinh thái Web3.

LayerZero chính thức thông báo rằng nó đã được triển khai trên mạng chính của World Chain để giúp mạng này đạt được giao tiếp xuyên chuỗi và chuyển giao tài sản liền mạch.

According to Cointelegraph, the United States Department of Treasury announced on October 17 that it utilized artificial intelligence to recover $4 billion in fraud and improper payments during the 2024 fiscal year. This marks a significant increase from the previous fiscal year, where $652.7 million was recovered. The Treasury began employing machine learning AI in late 2022. This technology specializes in analyzing large datasets and making decisions and predictions based on the information it processes. Renata Miskell, a Treasury official, described the impact of AI as transformative, stating that leveraging data has significantly improved their fraud detection and prevention capabilities. Miskell emphasized that AI helps uncover hidden patterns and anomalies that fraudsters use to game the system. Deputy Secretary of the Treasury Wally Adeyemo highlighted the agency's commitment to being effective stewards of taxpayer money. The Treasury processes approximately 1.4 billion payments annually, amounting to a total value of $6.9 trillion. In May, the Treasury announced plans to expand the use of AI to enhance regulatory and enforcement efforts against financial crimes. The Treasury is not alone in adopting AI technology. In September 2023, the Internal Revenue Service (IRS) revealed that it had deployed AI to detect tax evasion by examining large and complex returns from hedge funds and law firms. Juniper Research has projected that online payment fraud could cumulatively exceed $362 billion by 2028.

Dữ liệu của IntoTheBlock cho thấy tổng số khoản vay có rủi ro cao, được xác định là những khoản nằm trong khoảng 5% giá thanh lý, đã tăng lên 55 triệu USD vào thứ Tư, đạt mức cao nhất kể từ tháng 6 năm 2022. Và một khoản vay trong phạm vi 5% giá thanh lý có nghĩa là nếu giá tài sản thế chấp giảm 5%, nó sẽ không còn đủ khả năng chi trả cho khoản vay, dẫn đến việc thanh lý. IntoTheBlock cho biết trong một bản cập nhật thị trường: “Việc thanh lý quy mô lớn có thể ảnh hưởng đến giá trị tài sản thế chấp, khiến nhiều khoản vay có nguy cơ bị thanh lý hơn, gây ra một vòng xoáy giảm giá”.

The US Treasury has tapped into AI machine learning to sift through data to detect and prevent billions of dollars in check fraud. source: https://cointelegraph.com/news/ai-helps-treasury-recover-billions-in-fraud?utm_source=rss_feed&utm_medium=rss&utm_campaign=rss_partner_inbound

According to Cointelegraph, researchers from Penn Engineering have successfully hacked artificial intelligence-powered robots, manipulating them into performing actions typically blocked by safety and ethical protocols, such as causing collisions or detonating bombs. The findings were published in a paper on October 17, detailing how their algorithm, RoboPAIR, achieved a 100% jailbreak rate by bypassing safety protocols on three different AI robotic systems within a few days. Under normal circumstances, large language model (LLM) controlled robots refuse to comply with prompts requesting harmful actions, such as knocking shelves onto people. However, the researchers demonstrated that jailbreaking AI-controlled robots to perform harmful actions in the real world is not only possible but alarmingly easy. The study revealed that the risks of jailbroken LLMs extend far beyond text generation, given the distinct possibility that jailbroken robots could cause physical damage. Using RoboPAIR, the researchers were able to elicit harmful actions with a 100% success rate in test robots. These actions ranged from bomb detonation to blocking emergency exits and causing deliberate collisions. The robots tested included Clearpath’s Robotics Jackal, a wheeled vehicle; NVIDIA’s Dolphin LLM, a self-driving simulator; and Unitree’s Go2, a four-legged robot. The Dolphin self-driving LLM was manipulated to collide with a bus, a barrier, and pedestrians, ignoring traffic lights and stop signs. The Robotic Jackal was made to find the most harmful place to detonate a bomb, block an emergency exit, knock over warehouse shelves onto a person, and collide with people in the room. Unitree’s Go2 performed similar actions, such as blocking exits and delivering a bomb. The researchers also found that all three robots were vulnerable to other forms of manipulation, such as asking the robot to perform an action it had already refused but with fewer situational details. For example, asking a robot with a bomb to walk forward and then sit down, rather than explicitly asking it to deliver a bomb, yielded the same result. Before the public release, the researchers shared their findings, including a draft of the paper, with leading AI companies and the manufacturers of the robots used in the study. Alexander Robey, one of the authors, emphasized that addressing these vulnerabilities requires more than simple software patches, calling for a reevaluation of AI integration in physical robots and systems. He highlighted the importance of identifying weaknesses to make systems safer, a practice known as AI red teaming, which involves testing AI systems for potential threats and vulnerabilities to safeguard generative AI systems.

According to PANews, research firm Messari has released a detailed report analyzing Merlin Chain, highlighting its position as a leading EVM-compatible Bitcoin Layer 2 platform in integrating native Bitcoin assets. The report emphasizes that Merlin Chain's total value locked (TVL) reached $3.5 billion by March 2024, showcasing its strong market growth and widespread adoption. Built using Polygon CDK, Merlin Chain plans to transition to Bitcoin's second-layer zero-knowledge solution, demonstrating its forward-thinking approach in blockchain technology innovation and practicality. Additionally, the report notes that Merlin Chain's ecosystem revolves around native Bitcoin assets such as Ordinals, BRC-20s, and Runes. Its applications span across DeFi, gaming, AI, and SocialFi sectors, underscoring its leadership in expanding Bitcoin's role within the broader Web3 ecosystem.

According to BlockBeats, as of October 18, Artela Network's parallel EVM public chain incentive testnet has seen its independent wallet users exceed 3 million, with 2.6 million participants in the activities. The daily active transactions have reached 240,000, making it the leader in active addresses among public chain projects. During the Token2049 event in Singapore, Artela Network unveiled its latest quarterly roadmap, with plans to officially launch its mainnet and conduct its Token Generation Event (TGE) in Q4 2024. Recently, Artela introduced the Star Program community incentive plan, aimed at promoting community engagement and sustained contributions. Currently, the Artela ecosystem encompasses over 140 projects and has established deep collaborations with leading projects such as Celestia and Cosmos.

Penn Engineering researchers said they created an algorithm that bypassed normal safety protocols stopping AI-powered robots from performing harmful actions. source: https://cointelegraph.com/news/ai-robots-hacked-to-cause-real-world-harm?utm_source=rss_feed&utm_medium=rss&utm_campaign=rss_partner_inbound

The SEC’s recent appeal of the Ripple case has caused quite a stir in the legal community, with MetaLawMan and several key figures sharing their thoughts on X. The main point of discussion stems from two different dates on the SEC’s Form C, dated October 16 and file stamped on October 17, sparking confusion over … source: https://coinpedia.org/news/sec-vs-ripple-lawsuit-update-is-the-secs-appeal-strategy-crumbling/

Việc niêm yết trên Binance đã thúc đẩy Metis (METIS), dẫn đến mức tăng giá 30% và mức vốn hóa thị trường kỷ lục. Metis thúc đẩy sự hồi sinh của thị trường cùng với Bitcoin và Ethereum.