투자 리서치 회사 메사리의 새로운 연구 보고서는 멀린 체인을 자세히 분석하며, 이 플랫폼이 선도적인 EVM 호환 비트코인 레이어 2로서 비트코인 네이티브 자산을 통합하는 데 있어 시장을 선도하고 있다고 지적합니다. 이 보고서는 2024년 3월 멀린 체인의 총 가치 고정(TVL)이 35억 달러에 달했으며, 이는 멀린 체인의 강력한 성장과 시장에서의 폭넓은 채택을 입증한다고 강조합니다. 멀린 체인은 폴리곤 CDK를 사용해 구축되었으며 비트코인의 레이어 2 제로 지식 솔루션으로 전환할 계획으로, 블록체인 기술 혁신과 유용성에 대한 미래지향적인 접근 방식을 보여주고 있습니다. 이 보고서는 또한 멀린 체인의 생태계가 오디날, BRC-20, 룬과 같은 비트코인 네이티브 자산을 중심으로 디파이, 게임, AI, 소셜파이 영역에 걸친 애플리케이션을 통해 더 넓은 웹3 생태계에서 비트코인의 역할을 확장하는 리더십을 보여주고 있음을 강조합니다.

레이어제로는 월드 체인 메인넷에 배포되어 원활한 크로스 체인 커뮤니케이션과 자산 전송을 지원한다고 공식적으로 발표했습니다.

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.

청산 가격의 5% 이내로 정의되는 고위험 대출의 총액은 수요일에 5,500만 달러로 증가하여 2022년 6월 이후 최고치를 기록했다고 IntoTheBlock 데이터는 밝혔습니다. 청산 가격의 5% 이내 대출은 담보 가격이 5% 하락하면 더 이상 대출을 감당할 수 없어 청산이 시작됨을 의미합니다. 인투더블록은 시장 업데이트에서 "대량 청산은 담보 가치에 영향을 미쳐 더 많은 대출을 청산 위험에 빠뜨릴 수 있으며, 이는 가격 하락을 초래할 수 있다"고 말했습니다.

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/

바이낸스 상장으로 메티스(METIS)가 30%의 가격 급등과 기록적인 시가총액으로 상승했습니다. 메티스는 비트코인, 이더리움과 함께 시장의 부활을 이끌고 있습니다.