There is a move among crypto projects to address AI risks through responsible integration, something CryptoWendyO has pointed out. In an industry where the likes of Near and Ripple are making a case for using AI to be more secure and efficient, they put to shame the way traditional finance and healthcare are ceding ground to artificial intelligence.<\/p>\n
CryptoWendyO argues that the rapid progress of AI is exposing serious weaknesses in traditional sectors. Anthropic, a major AI firm preparing for an IPO, revealed last week the possibility of its systems being manipulated or slipping beyond human control. One need not look far for evidence that these are not mere abstractions: GMO Internet Group of Japan suffered a major cybersecurity breach over the weekend, 70 brokerages experienced unauthorized trades, and customer data was left exposed. It is a reminder of the need for a strong response wherever AI is making inroads, legacy finance included.<\/p>\n
To address such risks, crypto ventures are turning to methods that are both transparent and innovative. Take Ripple Treasury, which has implemented an AI-driven platform for corporate treasuries. The automation of tasks like liquidity management, cash forecasting, and payments means a business can operate 24\/7. In doing so, Ripple is prioritizing efficiency over human error and reducing the chance of malicious interference.<\/p>\n
Then there is Near AI, leading the way in combining blockchain with artificial intelligence. Grayscale, one of the foremost digital asset managers, has included Near AI on its list of top projects to benefit from the AI boom. What sets it apart is the mathematical proof software used in its smart contracts; it serves as a safeguard against an AI system running out of control. On the Lean Eval benchmark for formal verification, Near AI ranked first, a testament to the project\u2019s emphasis on safety.<\/p>\n
Responsible use of AI is becoming the norm for more than just isolated efforts. Central banks across Singapore, Malaysia, and Thailand in Southeast Asia have placed their trust in technologies that can withstand AI risks by expanding a cross-border stablecoin scheme with the participation of Visa, MasterCard, and Ripple. It is also a sign of tokenization\u2019s rise.<\/p>\n
On the institutional side, interest is increasing. Franklin Templeton has filed for two Bitcoin ETFs with NASDAQ, allocating 5 percent to Bitcoin and the rest to US stocks in what appears to be a test for broader crypto involvement. It seems mainstream finance is paying attention to the utility and risk management demonstrated in the crypto space.<\/p>\n
Every call by CryptoWendyO and how it played out \u2014 in the BuyCrypt bloggers tracker<\/a>.<\/em><\/p>\n Source \u2014 CryptoWendyO: https:\/\/www.youtube.com\/watch?v=0MdtG9iKGto<\/a><\/em><\/p>\n <\/p>\n Explore how AI integration is enhancing security and efficiency in crypto trading through innovative simulators. AI in crypto trading<\/a>.<\/p>\n <\/p>\n