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Flash

first_img Renzo renamed itself Renzo Finance and launched the Hyperliquid basis trading product

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.

first_img Trump said that stock trading is for America, not for himself

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.

first_img OpenAI Chief Scientist says AI may continue to rise rapidly to recursive self-improvement

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.
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