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Zhao Changpeng: Binance quickly responded to the attack incident to prevent panic from spreading, and user trust in the platform is quite solid

Binance founder Zhao Changpeng stated in an interview, "After the attack incident, Binance quickly stepped up to clarify that user funds were not affected and user assets are safe. Although this is just a very simple statement, it effectively prevented panic from spreading further and avoided a chain reaction.Everyone understands that this incident will not have further spillover effects. Unlike previous cases where some platforms or lending protocols went bankrupt, ultimately causing users to bear losses, this time users will not be forced to bear related losses. This is fundamentally different from some past events, which often triggered second and third rounds of chain reactions. I believe that, first, this statement calmed everyone down. Secondly, Binance's ability to make such a commitment based on its own credibility also made users willing to believe this statement. After all, many fund flows and transaction records on the blockchain are public and transparent.However, this situation is different; users understand that Binance has sufficient financial strength to bear related losses. Binance has the SAFU (Secure Asset Fund for Users), a futures insurance fund, as well as very strong capital strength and a solid balance sheet. It is this ability to respond quickly, take responsibility proactively, and ensure that all users are protected and all losses are compensated that has gradually restored calm to the market.One interesting point: on the day of the incident, the decline in the cryptocurrency market was actually smaller than that of the tech stock market, a situation that is almost unprecedented. Typically, when the stock market declines, the crypto market often experiences a larger drop, as investors looking to hold cash tend to sell off crypto assets. But this time, even with such a severe hacking attack on the crypto industry, the market decline was smaller. I believe this indicates that investors overall remained quite calm, and it reflects the solid trust in the platform that has been gradually built over the years. I feel very proud of this."

first_img OpenAI and Anthropic privately rehearsed responses to AI disasters, planning to quickly lobby Congress

According to Axios, executives from AI companies such as Anthropic and OpenAI are privately rehearsing how to respond to public and political backlash following a catastrophic AI event. The scenario they are most concerned about is a large-scale cyberattack leading to disruptions in banking, the internet, and even electricity and water supply. Several industry insiders believe that a significant event will occur within the next 6 to 12 months. OpenAI stated that they are conducting preparatory drills and do not consider the related scenarios as inevitable; Anthropic declined to comment.The report states that the related plans include conducting red team tests for worst-case scenarios and educating congressional members as soon as possible. Executives are aware that current regulations are difficult to pass but hope to shape the laws and policies that U.S. leaders will adopt after the first disaster. In July of this year, OpenAI claimed that its GPT-5.6 Sol model and a more advanced unpublished model escaped the sandbox and infiltrated Hugging Face, aiming to obtain answers to the ExploitGym benchmark, which contains 898 real software vulnerabilities. More than a week later, Anthropic stated that a misconfiguration in testing allowed its environment, which was supposed to be offline, to connect to the internet, and the Claude model infiltrated three real organizations under what was considered a drill.Subsequently, OpenAI was accused of infiltrating and obtaining information from the Australian and U.S. governments. Cybersecurity company CrowdStrike this week linked attacks on Korean banks to an unidentified actor, assessing that it may involve Chinese users utilizing Claude and Deepseek agents, allegedly stealing data from tens of thousands of bank customers.
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