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The re-staking protocol Renzo Protocol announced its name change to Renzo Finance and launched its first on-chain structured yield product Renzo Basis, which will go live on Hyperliquid, initially supporting BTC and HYPE. Lucas Kozinski, founder of Renzo Labs, stated that basis trading earns funding rate income by simultaneously holding a spot long and a perpetual contract short. Since the long and short positions hedge each other, asset price fluctuations do not affect the yield, and users earn the fees paid by perpetual traders every hour.Renzo stated that the product achieves automation through a triple protection mechanism, including hedge protection, yield protection, and safety buffer. Currently, the product does not use AI automation but instead conducts trading and strategy monitoring through Hyperliquid's proxy wallet (API wallet) with user authorization, without holding user funds. The relevant protection parameters can be customized by users. Renzo emphasized that its product differs from competitors such as Ethena and Bitwise's Superstate in that it is fully on-chain, self-custodied, and allows depositors to choose their own assets, trading venues, and risk parameters.Renzo Basis plans to support all assets on Hyperliquid that have both spot and perpetual markets and expand to other DeFi platforms, with the next stop being Lighter on Robinhood, where on-chain stock perpetual basis trading will be introduced.

On September 6, local time, U.S. President Trump posted on the social platform Truth Social, stating that he earned "hundreds of billions of dollars" for the United States through stocks and holding various other assets, and he expressed, "I do this for our country, not for myself." The post also mentioned that the only response he received was criticism from the radical left "foolish Democrats."According to a previous report by Reuters, information from the U.S. Office of Government Ethics shows that Trump disclosed personal securities transactions totaling at least $220 million and up to about $750 million in the first three months of 2026. Annual financial documents released by the U.S. Office of Government Ethics indicate that Trump's total income for 2025 was at least $2.2 billion, far exceeding his income of about $622 million in 2024 when he had not returned to the White House.On the same day, Trump also shared an AI-generated image, which appeared to show him trading in the Oval Office, with the screen displaying Intel's stock price rising from $20 to $95. In August of last year, the U.S. federal government invested about $8.9 billion to purchase a 9.9% stake in Intel at a price of $20.47 per share; CNBC reported that on September 4, 2026, the company's stock closed at $95.80. A White House spokesperson stated that all stock transactions under Trump's name are conducted by external financial managers, and Trump and his family have no control over specific trading decisions.

Former U.S. President Trump published a revised version of the U.S. presidential rankings on Truth Social, expanding upon the version released a few days ago. In the latest ranking, former U.S. presidents are categorized into six levels: "Greatest," "Great," "Near Great," "Average," "Below Average," and "Losers."Trump lists himself separately in the "Greatest" category, ranking above Abraham Lincoln, George Washington, and Franklin D. Roosevelt. Compared to the first version he released, Reagan has been added to the "Near Great" category, while Hoover has been downgraded to the "Losers" category. Biden and Obama have consistently remained in the "Losers" category.

According to CryptoBriefing, the Bitcoin wallet Xverse has launched a joint Bitcoin staking service, allowing users to pair sBTC with STX tokens to participate in the Stacks PoX-5 locking period. During the staking period, Bitcoin remains on the Bitcoin mainnet and is controlled by the users, without the need for cross-chain or wrapping. This feature requires an upgrade to the Xverse v2.9 version wallet.Registration will close on September 9 or when the quota is used up. Staking rewards are expected to be distributed starting September 10 (Bitcoin block 966350, corresponding to Stacks' 143rd period). Institutions such as UTXO (a subsidiary of Nakamoto Inc.), HashKey Cloud, and 21shares have joined as anchor participants. Previously, Xverse managed approximately 152 million STX in non-custodial staking.

Bitmine Chairman Tom Lee recently expressed the view that Ethereum (ETH) is more like "digital land" rather than cash. Lee believes that the core value of quality assets lies in their ability to store value, meaning that investors believe they can effectively hold and allocate capital over the long term.Lee pointed out that stocks can become store of value assets because investors expect companies to manage capital effectively when they buy stocks; real estate, on the other hand, has both store of value and cash flow properties, generating income through rentals. Within this framework, he believes Ethereum is closer to the stock market or land, with its long-term value primarily derived from the network itself as underlying infrastructure.Bitmine has been increasing its holdings for 65 consecutive weeks. As of August 30, 2026, its total Ethereum holdings reached 5,901,112, accounting for approximately 4.9% of the total Ethereum supply.

OpenAI Chief Scientist Jakub Pachocki published an article titled "An Alien Mind" on September 6, 2026. The article reviews the results of the RLSlow research project, which emerged in mid-2023, demonstrating the first scalable training of reasoning models. It states that three years later, reasoning language models have become part of rapid economic growth, beginning to push scientific boundaries, capable of operating computers and graphical interfaces, collaborating with humans and other AIs on research projects, while also changing the landscape of computer security and introducing new dangers.The author anticipates that the current pace of progress may continue towards recursive self-improvement based on internal results. If AI development continues along the current path, systems may experience equivalent or greater leaps in capability in the coming years, increasingly driving their own development. The author calls for extreme caution, believing that no one is prepared to deal with the consequences of the rapid rise of machine intelligence. OpenAI will continue to seek technical solutions for alignment and monitoring, build defensive systems, and unilaterally halt further scaling when necessary, but believes broader intervention is needed.The article states that machine intelligence is primarily driven by increased computational power, with AI growing more than being designed. In terms of alignment, it distinguishes between goal alignment and value alignment, with the core challenge being generalization. GPT-6 Astra shows significantly better alignment than GPT-5.6 Sol, but more progress is still needed. In monitoring, the focus is mainly on chain-of-thought monitoring, with assessments showing that reliance on capabilities is gradually weakening. In terms of scalable defense, models are becoming superhuman in breaking into computer systems, currently in a narrow window where using the best available models significantly enhances the security of critical systems.

The Securities and Exchange Commission of Thailand (SEC) has officially approved the travel rule for crypto assets, requiring digital asset operators to verify the ownership or control of wallets when customers send or receive crypto assets to self-custody wallets, and to retain transaction-related information for at least five years for regulatory review. Pornanong Budsaratragoon, Secretary-General of the Thai SEC, stated that the rule aims to reduce the risk of digital asset operators being used for money laundering and terrorist financing.The new regulations were finalized after two rounds of public consultations this year, with the first round presenting a draft in March and a notification draft released in June. The Thai SEC stated that most stakeholders expressed support. As the travel rule is implemented, Thailand is considering expanding the access to regulated crypto products. On Monday, the Thai SEC proposed allowing intermediaries to offer specific crypto derivatives traded on regulated overseas exchanges to retail investors.In the days prior, regulators also advanced the draft rules for spot Bitcoin and Ethereum exchange-traded funds (ETFs) and simultaneously sought opinions on the foreign digital asset custodians used by funds investing in crypto assets. Thailand's move aligns with global regulatory trends, as the Financial Action Task Force (FATF) estimates that by 2026, 83% of surveyed jurisdictions will have enacted travel rule legislation.

OpenAI countered Apple's allegations of stealing trade secrets in a late-night legal document. OpenAI stated that the lawsuit is baseless and aims to hinder its recruitment of new employees, ultimately delaying its efforts to develop competitive technology.OpenAI claimed that many of the allegations stem from Apple's poor internal departure procedures, and the lawsuit is "the chaos caused by Apple itself." Previously, OpenAI CEO Sam Altman had shared a table with Apple's then-CEO Tim Cook at a White House tech leaders dinner.

Recently, Sun Yuchen launched a batch of real-name complaints against the self-media that criticized him. Sun Yuchen filed multiple complaints against several self-media accounts, including Luke Wen Studio and "Luo Serious," on the grounds of "defamation/commercial reputation/invasion of privacy/portrait rights."The complaint materials requested the platform to deal with articles that used qualitative expressions such as "cutting leeks" and reinforced negative personas, and stated that he has entrusted a lawyer to secure evidence.

According to Mobile Payment Network, Lu Lei, a member of the Party Committee and Vice President of the People's Bank of China, stated at the 15th China Payment Clearing Forum that intelligent agent payments must not blur the boundaries of responsibility between consumers, operating institutions, and algorithm systems. Lu Lei believes that the essence of payment is the transfer of fund ownership, which objectively requires that the results of transactions are predictable, responsibilities are definable, and traces are traceable. Large models and autonomous intelligent agents have characteristics such as output randomness and insufficient transparency of logic. If transaction decision-making authority is blindly or excessively granted to intelligent agents, it will affect the trust foundation of fund transactions. The current governance rules of the payment industry and dispute resolution mechanisms are built around "humans as the final decision-makers in transactions." The new model of intelligent agents automatically initiating and assisting in transactions easily blurs the boundaries of responsibility, and the existing governance rules need to be optimized and improved.Regarding the issue of insufficient compatibility of protocol standards in the field of intelligent agent payments, Lu Lei emphasized that the dispute over protocols is essentially a dispute over business rules and technical standards, as well as a struggle for dominance in the era of artificial intelligence. The People's Bank of China continues to strengthen its tracking research on technological innovation, especially intelligent agent payments, guiding the Payment Clearing Association to leverage its advantages in industry self-regulation. Based on extensive soliciting of opinions, they will formulate and publish the "Self-Regulatory Convention for Intelligent Agent Payment Applications," and will continue to work on coordinating protocols and standards, as well as innovating risk governance. Lu Lei proposed three hopes to market institutions: actively respond to and implement the industry self-regulatory convention, with payment security and risk prevention as the bottom line, and consumer rights protection as the focal point; continuously track the trends of cutting-edge technologies such as large models and intelligent agents both domestically and internationally, and build technical reserves and application capabilities; adhere to the principle of rules and standards first, strengthen coordination and compatibility among different protocols and standards, and cooperate with regulatory authorities to promote the construction of a foundational protocol and technical standard system for intelligent agent payments.

The Public Security Bureau of Hongkou District, Shanghai, China, recently solved a case involving cross-border illegal settlement and illegal foreign exchange trading using virtual currency, arresting 9 criminal suspects and involving an amount of over 200 million yuan. The suspects, including a person named Li, established a technology company at the beginning of 2024 to seek illegal profits, building two platforms online: "Cross-Border Fund Exchange" and "Virtual Credit Card Issuance and Settlement." They solicited customers both online and offline, illegally conducting exchange and settlement services for virtual currency and cross-border funds, profiting through transaction fees, service fees, card issuance fees, withdrawal fees, and other means.Investigators stated, "The uniqueness of this case lies in the fact that the criminals developed two apps and publicly solicited customers on such a large scale, which has never been seen before. The platforms built in this case are themselves a closed-loop illegal financial service system, with all transactions settled internally on the platform. This mode of crime has a higher degree of scale, a longer chain, and is more deceptive." Reports indicate that on the "Cross-Border Fund Exchange" platform, the criminal gang collected customers' virtual currency overseas and exchanged it for foreign currency, forming a "fund pool," and then realized cross-border settlement through fabricated contracts, achieving the exchange and transfer of virtual currency to RMB. On the "Virtual Credit Card Issuance and Settlement" platform, the criminal gang "cooperated" with several overseas private banks to issue virtual credit cards to customers, who could use the card for consumption, but the repayment process had to be settled in virtual currency; the gang exchanged virtual currency for foreign currency overseas, relying on false cross-border settlements to complete clearing with overseas card merchants.

Zhao Changpeng stated at the "Bitcoin Asia 2026" conference in Hong Kong that Bitcoin itself does not weaken or strengthen government power; what truly matters is the choices made by the government. Historically, weak governments have sometimes led to better economic performance. For example, the U.S. government is relatively weak, yet it has created one of the strongest economies in the world; after the current SEC chairman relinquished some regulatory power, the industry actually experienced growth, while former chairman Gary Gensler's attempts to control everything stifled industry growth.He mentioned that Bitcoin, as a decentralized technology, allows individuals to have more sovereignty, but its privacy design has flaws, and on-chain transactions can be easily tracked; governments can choose whether to utilize these characteristics. For instance, declaring Bitcoin ownership illegal or imposing a 36% tax on every transaction would stifle industry development. The government may seem to have significant power, but a zero tax rate still results in zero revenue, while taxing a trillion-dollar market at 6% would yield substantial income.He also noted that most governments have relatively recognized Bitcoin, but many countries still lack a regulatory framework for cryptocurrencies. Among government officials, those who understand Bitcoin remain a minority, and in some countries, the older generation's dominance leads to a more conservative attitude. However, he does feel that a shift is occurring, despite some still holding the biased view that Bitcoin is primarily used by drug lords.

According to CNBC, the cryptocurrency project World Liberty Financial, supported by the Trump family, stated that the rapid growth of its stablecoin USD1 and actual market demand refute external doubts about the project primarily relying on political connections for development. Currently, the circulation scale of USD1 has exceeded 4 billion dollars.World Liberty Financial CEO Zach Witkoff stated that the growth of USD1 comes from the product itself and market adoption, rather than special treatment from the Trump administration. USD1 was previously used in the 2 billion dollar investment transaction by the Abu Dhabi investment firm MGX in Binance, which is also one of the most significant institutional applications of USD1 to date.Recently, World Liberty Financial also received preliminary conditional approval from the Office of the Comptroller of the Currency (OCC) for a national trust bank charter, planning to directly issue and redeem USD1 through World Liberty Trust Company in the future, and manage its reserve assets. Regarding the project's relationship with the Trump family, some Democratic lawmakers in the U.S. continue to raise concerns about conflicts of interest.

According to Business Insider, Thomson Reuters launched its first self-developed AI model, Thomson-1, on Monday. This model is based on Snowdon and constructed through "re-alignment" of Alibaba's open-source Qwen model. Open-source means anyone can download and modify the model for free. Thomson-1 will take over some tasks previously handled by Anthropic's Claude, but it is not intended to completely replace collaboration with Anthropic and other labs, initially focusing on the company's areas of expertise, starting with document review.This move aims to address the high AI costs brought by models like Claude and OpenAI Codex, and reflects the use of cheaper Chinese open-source AI. CTO Joel Hron stated that the main reason is to better leverage Thomson Reuters' own expertise and control costs. The company expanded its collaboration with Anthropic in May this year for the AI legal assistant CoCounsel, which still primarily relies on Claude. Hron said, "Our main goal is to gradually make Thomson the model that drives more and more capabilities for CoCounsel."Thomson Reuters, in collaboration with a team from Imperial College London, spent months transforming Qwen to build Snowdon and ensured it is "ethically and politically bias-processed and safe to use." Hron pointed out that having a proprietary model allows for development based on its own intellectual property rather than continuously paying external AI companies, comparing it to renting versus buying a house: renting provides shelter but does not accumulate long-term equity.

The China Payment and Clearing Association issued the "Self-Regulatory Convention for Intelligent Agent Payment Applications," which regulates the behavior of member institutions in initiating and executing payment instructions using large models and other artificial intelligence "intelligent agents" in payment scenarios. The convention requires banks, non-bank payment institutions, clearing institutions, and others engaged in intelligent agent payment applications to adhere to the principle of "who provides the payment service is responsible," and to implement cybersecurity, data security, and privacy protection.The convention proposes the establishment of "Know Your Agent (KYA)," a hierarchical management system for intelligent agents, and a full-link identity transmission mechanism, strengthening model robustness and traceability, anti-money laundering and anti-fraud controls, and setting stricter authorization and risk control measures for vulnerable groups such as the elderly and minors. The convention will be implemented from the date of its release.

Tesla (TSLA.O) has been approved to produce up to 5,000 autonomous vehicles in Nevada, USA.