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.

Citizens across Canada's coast have been receiving disturbing letters threatening to expose their private photos and browser history to family and friends.

The total amount of high-risk loans (defined as loans within 5% of the liquidation price) rose to $55 million on Wednesday, the highest level since June 2022, according to IntoTheBlock data. Loans within 5% of the liquidation price mean that if the price of the collateral falls by 5%, it will no longer cover the loan, triggering a liquidation. "Massive liquidations could affect the value of collateral, exposing more loans to liquidation risk, creating a downward price spiral," IntoTheBlock said in a market update.

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

Uniswap Labs officially launched Unichain, an Ethereum Layer2 network based on OP Stack, and launched the test network. As the mainstay of the Ethereum ecosystem and DeFi field, the crypto community has paid close attention to the important progress of Uniswap.

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.

Hamster Kombat has released a teaser trailer for Season 2 of its popular Telegram clicker game, aiming to engage its community. This season will focus on game development and publishing, allowing players to take on the role of CEO and create their own gaming studio.

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/

The Kenya Revenue Authority (KRA) has proposed to establish a tax system integrated with cryptocurrency trading platforms to enable real-time monitoring of transactions. Under the system, KRA will capture key information of each transaction, such as transaction time and value. The tax department said that the current system cannot track cryptocurrency transactions, resulting in a large amount of tax loss. (Bitcoin.com)

ワールドコインが「ワールドネットワーク」に改称 オープンAI（OpenAI）CEOのサム・アルトマン（Sam Altman）氏が設立した暗号資産（仮想通貨）プロジェクト「ワールドコイン（Worldcoin）」が「ワールド […] source: https://www.neweconomy.jp/posts/425232

Chirag Tomar was sentenced to 60 months in prison for masterminding a Fake Coinbase scam that defrauded victims of over $20 million. The fraudulent scheme involved creating counterfeit websites to steal login credentials and two-factor authentication codes, leading to significant financial losses for numerous victims.

微策略公司（MicroStrategy）通过高杠杆投资比特币，一年表现超越比特币4倍。然而，借钱买币的策略是否真如表面光鲜？在股价上涨的赞美声背后，我们需要深入分析这一策略的潜在风险与隐忧。

比特币（BTC-USD）最近的反弹与部分投资者对美国总统选举结果的预期有关。市场普遍认为支持加密货币的共和党候选人唐纳德·特朗普在大选中胜出的可能性上升，推动了数字资产市场的强劲表现。

Meme, how should we correctly understand the "Meme Coin Super Cycle"? Golden Finance, the Meme Coin Super Cycle theory is spreading rapidly.

Despite his imprisonment, it is reported that Do Kwon, the disgraced founder of Terra, managed to make multiple cryptocurrency payments while in custody in Montenegro.

ARK believes that five major innovation platforms may have a significant impact on macroeconomic indicators in the next five to ten years.

字节跳动旗下的短视频平台 TikTok 因其虚拟代币系统可能涉及未经注册的加密货币交易行为而在英国面临审查。TikTok 金币可通过真金白银购买并转换为现金，引发了关于其可能被用于洗钱和恐怖融资的担忧。