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Gate founder and CEO Dr. Han took the stage at the Oxford Debate Society to share his 13-year entrepreneurial journey from a one-person company to global development

On November 12, Gate founder and CEO Dr. Han was invited to speak at the Oxford Union, delivering a keynote speech titled "Start Alone," reflecting on his 13 years of entrepreneurial journey since founding Gate alone in 2013. He shared experiences and thoughts on entrepreneurial resilience, rapid innovation, team building, and opportunities for entrepreneurship in the AI era.Dr. Han stated that the founding of Gate stemmed from his early experiences of losses incurred through trading on online forums. To create a more trustworthy digital asset trading platform, he started his business alone without external venture capital support. Since then, Gate has experienced multiple industry fluctuations and significant business challenges, gradually growing through continuous innovation and adjustments. He emphasized that maintaining a strong long-term belief, quickly seizing new opportunities, and continuously improving innovation and execution efficiency are crucial factors for companies to face challenges and achieve long-term development.Regarding the AI era, Dr. Han proposed the "Boss + AI" model, pointing out that AI can significantly enhance information acquisition, knowledge learning, and daily work efficiency, empowering individual entrepreneurs with stronger execution capabilities. At the same time, he emphasized that "Start Alone" does not mean always going it alone; entrepreneurs must have the courage to take the first step independently while also seeking suitable partners and team members during the development process. Through this keynote speech at the Oxford Union, Dr. Han brought Gate's 13 years of entrepreneurial journey into a broader industry discussion and, drawing from years of personal practice, provided insights and inspiration for a new generation of entrepreneurs.

Hong Kong Securities and Futures Commission: The development of tokenization in Hong Kong is moving from the experimental stage to commercial application

According to the Hong Kong Securities and Futures Commission, it co-hosted a seminar with the Hong Kong Monetary Authority on November 11, attended by over 200 industry professionals. The seminar topics included the opportunities brought by tokenization for secondary market trading and corporate treasury management, financial infrastructure optimization measures supporting payment and liquidity management, the role of virtual asset trading platforms in facilitating tokenized fund trading and providing liquidity, as well as cases promoting the broader application of tokenized currencies and tokenized investment products.The Executive Director of the Investment Products Division of the Hong Kong Securities and Futures Commission, Wu Jiali, stated that the development of tokenization in Hong Kong is moving from the experimental stage to commercial application, with the next phase focusing on integrating tokenized investment products, digital currencies, and financial infrastructure to drive practical applications. The Assistant Chief Executive (Financial Infrastructure) of the Hong Kong Monetary Authority, Zhou Wenzheng, stated that the Monetary Authority will continue to work closely with the Securities and Futures Commission to promote responsible innovation in the field of tokenization.

The Ethereum development organization Ethlabs suggests postponing the determination of the Hoodi fork date

The non-profit research organization Ethlabs stated that the EIP-8037 and EIP-8038 in the Ethereum Glamsterdam upgrade involve adjustments to Gas costs and billing mechanisms, which may affect some already deployed smart contracts. Ethlabs recommends postponing modifications to the upgrade specifications or determining the fork date for the Hoodi testnet until the results of external audits are published and the relevant impacts are clarified. The final decision will be made by the Ethereum Core Developers Meeting (ACD).The two external audits commissioned by the Ethereum Foundation from ChainSecurity and Dedaub are expected to be published before November 16. On the same day, a public Q&A will be held during the ACD testing meeting. The ACD executive meeting on November 19 is expected to discuss the audit results and may decide whether to modify the upgrade specifications.Glamsterdam aims to increase the Ethereum Gas limit per block from 60 million to 200 million. Ethlabs pointed out that adjustments to Gas costs may affect contracts and tools with hardcoded operational costs, and changes in the billing mechanism may also cause some deployed contracts to exhibit unexpected behavior. For example, after an internal call rollback, the remaining Gas returned by gasleft() may actually increase, affecting the contract's judgment on whether the call failed due to Gas exhaustion.

Huawei, Alibaba, and 20 other organizations released a self-discipline convention for the development of intelligent entities

According to Gelonghui, citing the China Academy of Information and Communications Technology, on November 4, a joint release of the "Self-Regulatory Convention for the Development of Intelligent Agents" was made by 20 entities including the China Academy of Information and Communications Technology, Huawei, Alibaba, Tencent, and Xiaomi.The convention mentions the construction of interconnected infrastructure for intelligent agents, co-building interoperable infrastructure, developing technologies and standards for intelligent agent registration and resolution, capability description and discovery, intent understanding and transformation, network routing and connection, resource scheduling and measurement, protocol compatibility and mutual recognition, continuously reducing the cost of cross-domain discovery and connection for intelligent agents, and supporting the interconnected collaboration of intelligent agents.The convention also mentions accelerating the empowerment of intelligent agents across various industries, adhering to serving the real economy, developing low-threshold tools for intelligent agent development and deployment, collaborating on research and development of intelligent agents aimed at real operational scenarios that create actual value, promoting the embedding of intelligent agents into existing production systems and business processes, creating benchmark applications, continuously reducing the cost of implementing intelligent agents, and assisting industries in improving quality and efficiency.

first_img CoinEx founder Yang Haipo: The theft at Binance exposed three issues that could have been avoided, including the incomplete isolation of its development and operation environment

ViaBTC mining pool and CoinEx trading platform founder and CEO Yang Haipo posted on X, commenting on the Binance security incident. He stated that the incident exposed at least three avoidable mistakes, which do not require complex technology; what is lacking is discipline.Yang Haipo pointed out that first, the development and operation environments were not completely isolated. Personnel with production environment permissions should use dedicated devices and not install third-party software; coding, chatting, and web browsing should be done on another device. Second, the operation and maintenance system lacked effective dual verification. A single key could operate production services, and once the key was leaked, attackers could gain full production access. He believes that production operations could be conducted in a manner similar to AWS browser-based Session Manager, using hardware security keys as a second factor to prevent a single credential leak from constituting a breach. Third, MPC multi-signature is merely nominal; the signers did not perform substantial independent verification of the transactions. Compromising one node could render the entire mechanism ineffective, resulting in the same effect as a single signature. Multi-signature is only effective when the signers do not trust each other, independently verify the transaction itself, rather than trusting upstream requests.On November 3, Binance released preliminary investigation results regarding the security incident on October 29. Binance stated that approximately $6.34 billion in digital assets were affected, and as of the update, about $2.85 billion had been frozen or intercepted, with 98% of the affected tokens having been replenished. The report indicated that attackers gained unauthorized access to the internal wallet signature service and exploited Ethereum EIP-7702 to authorize the hot wallet; due to the hot wallet using multi-party computation, it could not immediately revoke the relevant authorization with a single private key. Binance cited information from the FBI stating that North Korea is responsible for this incident.

first_img National Development and Reform Commission: Accelerate the promotion of foundational and comprehensive legislation on artificial intelligence

On November 3, the National Development and Reform Commission held a series of press conferences on advancing the "14th Five-Year Plan," introducing information on cultivating and strengthening new driving forces. Wang Ruomeng, Deputy Director of the Department of Innovation and High Technology Development of the National Development and Reform Commission, stated that there is a broad consensus in society on the coexistence of opportunities and risks in artificial intelligence. During the "14th Five-Year Plan" period, development and security will be coordinated, with security integrated throughout the research, application, and governance of artificial intelligence.Wang Ruomeng emphasized four key areas of work. First, improve the governance rule system, accelerate the promotion of foundational and comprehensive legislation for artificial intelligence, enhance legislation to protect common elements such as data, computing power, and algorithms, as well as to regulate key application scenarios, establish safety standards and ethical guidelines covering the entire lifecycle, and conduct periodic assessments of the implementation of these systems. Second, optimize the regulatory environment, reasonably set a transition period for regulatory policies, provide compliance guidance for applications across different industries, support the establishment of regulatory sandboxes for artificial intelligence in various fields, and improve the management mechanisms for application, testing, use, and exit.Third, clarify the collaborative governance responsibilities of government departments, industry organizations, enterprises, and the public, promote developers and operators to strengthen risk management awareness, timely disclose safety risks, and proactively report safety incidents and vulnerability information. Fourth, address the impact of artificial intelligence on society, pay attention to changes in employment structure, promote the inclusion of new professions such as model trainers and data annotators into the national occupational classification system, and strengthen monitoring and early warning of employment replacement risks; enhance traceability capabilities for issues such as algorithmic discrimination, deep forgery, and privacy breaches, while also strengthening guidance and intervention to prevent addiction and emotional dependence.
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