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According to the Wall Street Journal: Nvidia will make a significant investment in safe superintelligence founded by Ilya Sutskever, co-founder of OpenAI.

[Nvidia to Make Major Investment in Safe Superintelligence Founded by OpenAI Co-Founder Ilya Sutskever]According to the Wall Street Journal: Nvidia will make a significant investment in safe superintelligence founded by Ilya Sutskever, co-founder of OpenAI.

Nvidia to Make Major Investment in Safe Superintelligence Founded by OpenAI Co-Founder Ilya Sutskever

On July 27, traders in short-term interest rates at Citigroup are betting that the Federal Reserve will keep interest rates unchanged this week, despite the swap market pricing in a probability of over one-third for a 25 basis point rate hike.

[Citi Traders Expect Fed to Hold Rates Steady This Week]On July 27, traders in short-term interest rates at Citigroup are betting that the Federal Reserve will keep interest rates unchanged this week, despite the swap market pricing in a probability of over one-third for a 25 basis point rate hike.

Citi Traders Expect Fed to Hold Rates Steady This Week

On July 27, the Hyperliquid Policy Center (HPC) announced that it, along with Multicoin Capital, submitted a comment letter to the U.S. Commodity Futures Trading Commission (CFTC) in support of its proposed regulatory framework for prediction markets. Both parties stated that prediction markets should be uniformly regulated by the CFTC as the sole federal regulatory body, rather than being managed separately by each state under gambling laws, to avoid market fragmentation. HPC and Multicoin believe that event contracts facilitated by trading platforms are fundamentally different from traditional gambling and should be included in the financial market regulatory system. The comment letter suggests that the CFTC further clarify the review standards for event contracts, including adopting a judgment method based on contract settlement results, and publicly disclose the specific reasons for each review decision to enhance regulatory transparency and provide stable expectations for market participants. Hyperliquid indicated that its platform has supported result-based on-chain contract trading, and the related market has rapidly grown since its launch in May, with open interest recently reaching an all-time high, and all positions completed through on-chain collateral and settlement. Both parties believe that a clear and technology-neutral federal regulatory framework will promote the compliant development of on-chain prediction markets and derivatives markets.

[HPC and Multicoin Support CFTC's Regulatory Framework for Prediction Markets]On July 27, the Hyperliquid Policy Center (HPC) announced that it, along with Multicoin Capital, submitted a comment letter to the U.S. Commodity Futures Trading Commission (CFTC) in support of its proposed regulatory framework for prediction markets. Both parties stated that prediction markets should be uniformly regulated by the CFTC as the sole federal regulatory body, rather than being managed separately by each state under gambling laws, to avoid market fragmentation. HPC and Multicoin believe that event contracts facilitated by trading platforms are fundamentally different from traditional gambling and should be included in the financial market regulatory system. The comment letter suggests that the CFTC further clarify the review standards for event contracts, including adopting a judgment method based on contract settlement results, and publicly disclose the specific reasons for each review decision to enhance regulatory transparency and provide stable expectations for market participants. Hyperliquid indicated that its platform has supported result-based on-chain contract trading, and the related market has rapidly grown since its launch in May, with open interest recently reaching an all-time high, and all positions completed through on-chain collateral and settlement. Both parties believe that a clear and technology-neutral federal regulatory framework will promote the compliant development of on-chain prediction markets and derivatives markets.

HPC and Multicoin Support CFTC's Regulatory Framework for Prediction Markets

On July 27, key news in the US pre-market includes: 1. Rocket Lab (RKLB.O) has secured a $266 million missile defense contract with the U.S. Space Force. 2. AMD (AMD.O) will establish an artificial intelligence research center in South Korea and develop an open AI infrastructure ecosystem. 3. Apple's (AAPL.O) system status page indicates that all affected services, including the App Store, have been restored. 4. Nvidia (NVDA.O) will form an open-source AI alliance with partners and launch the NOOA open-source project on GitHub aimed at promoting the safe development of artificial intelligence. 5. Sources indicate that Nvidia (NVDA.O) is negotiating to provide approximately $250 billion in financial guarantees for OpenAI's Ohio data center project. 6. Dutch biotech company Argenx SE (ARGX.O) has agreed to acquire clinical-stage biopharmaceutical company Forte Biosciences (FBRX.O) for about $2.2 billion in cash to expand its immunology drug portfolio. 7. A South Korean conglomerate has reached agreements with global tech giants, including Nvidia (NVDA.O), to initiate a series of collaborative projects valued at $950 billion. 8. Strategy has not increased its Bitcoin holdings for three consecutive weeks, with its dollar reserves rising to $3.75 billion. 9. Bitmine increased its holdings by 9,946 ETH last week, bringing its total holdings to 5.7874 million ETH.

[US Pre-Market Highlights: Nvidia Expands AI Initiatives, AMD Enters Korean AI R&D, Korean Firms Secure $950 Billion Deal with Tech Giants]On July 27, key news in the US pre-market includes: 1. Rocket Lab (RKLB.O) has secured a $266 million missile defense contract with the U.S. Space Force. 2. AMD (AMD.O) will establish an artificial intelligence research center in South Korea and develop an open AI infrastructure ecosystem. 3. Apple's (AAPL.O) system status page indicates that all affected services, including the App Store, have been restored. 4. Nvidia (NVDA.O) will form an open-source AI alliance with partners and launch the NOOA open-source project on GitHub aimed at promoting the safe development of artificial intelligence. 5. Sources indicate that Nvidia (NVDA.O) is negotiating to provide approximately $250 billion in financial guarantees for OpenAI's Ohio data center project. 6. Dutch biotech company Argenx SE (ARGX.O) has agreed to acquire clinical-stage biopharmaceutical company Forte Biosciences (FBRX.O) for about $2.2 billion in cash to expand its immunology drug portfolio. 7. A South Korean conglomerate has reached agreements with global tech giants, including Nvidia (NVDA.O), to initiate a series of collaborative projects valued at $950 billion. 8. Strategy has not increased its Bitcoin holdings for three consecutive weeks, with its dollar reserves rising to $3.75 billion. 9. Bitmine increased its holdings by 9,946 ETH last week, bringing its total holdings to 5.7874 million ETH.

US Pre-Market Highlights: Nvidia Expands AI Initiatives, AMD Enters Korean AI R&D, Korean Firms Secure $950 Billion Deal with Tech Giants

On July 27, according to BIT(bit.com) market data, US stock STRC rose over 2% in pre-market trading, while MSTR increased by 2.31%. In terms of news, Strategy did not increase its Bitcoin holdings last week, with its dollar reserves rising to $3.75 billion (an increase of $525 million), and it spent $25 million to repurchase STRC shares. It has not increased its Bitcoin holdings for three consecutive weeks. However, during the same period, dollar reserves have increased by $1.2 billion through the sale of MSTR shares and other methods, bringing the company's dollar reserves to $3.75 billion.

[US Stocks STRC Up Over 2% Pre-Market, MSTR Up 2.31%]On July 27, according to BIT(bit.com) market data, US stock STRC rose over 2% in pre-market trading, while MSTR increased by 2.31%. In terms of news, Strategy did not increase its Bitcoin holdings last week, with its dollar reserves rising to $3.75 billion (an increase of $525 million), and it spent $25 million to repurchase STRC shares. It has not increased its Bitcoin holdings for three consecutive weeks. However, during the same period, dollar reserves have increased by $1.2 billion through the sale of MSTR shares and other methods, bringing the company's dollar reserves to $3.75 billion.

US Stocks STRC Up Over 2% Pre-Market, MSTR Up 2.31%

On July 27, according to public market data, Kong Jianping, founder and chairman of Nano Labs, indirectly holds approximately 18.98 million shares of Changxin Technology through the Yifang Changda Fund. In this fund, Kong Jianping has committed an investment of 21.34 million yuan. Based on Changxin Technology's opening price of 49.5 yuan per share today, the market value of his indirect holdings is approximately 940 million yuan, which is about 44 times the amount of his committed investment.

[Kong Jianping Indirectly Holds Approximately 18.98 Million Shares of Changxin with 44-Fold Profit]On July 27, according to public market data, Kong Jianping, founder and chairman of Nano Labs, indirectly holds approximately 18.98 million shares of Changxin Technology through the Yifang Changda Fund. In this fund, Kong Jianping has committed an investment of 21.34 million yuan. Based on Changxin Technology's opening price of 49.5 yuan per share today, the market value of his indirect holdings is approximately 940 million yuan, which is about 44 times the amount of his committed investment.

Kong Jianping Indirectly Holds Approximately 18.98 Million Shares of Changxin with 44-Fold Profit

On July 27, Musk stated in an interview with The Economist that within approximately five years, the intelligence level of artificial intelligence may surpass the total intelligence of all humanity, and that Chinese AI companies are likely to become global leaders in the future. Musk mentioned that if Chinese AI enterprises gain access to substantial computing resources, their technological development could accelerate further. He noted that China currently has a significant advantage in power supply, while the core bottleneck in AI development is shifting from chips to power and cooling capabilities. Musk pointed out that China's electricity generation has already surpassed that of the combined total of the United States, Europe, and India, and could potentially reach several times that of the U.S. in the future. He believes that the effectiveness of U.S. export controls in limiting China's AI development is limited, and if China resolves issues related to advanced chips and lithography technology, the global AI competitive landscape may change further. Additionally, Musk anticipates that AI will first impact digital jobs such as software, with future AI programming capabilities possibly exceeding those of 99% of software engineers. However, he believes that the productivity gains brought by AI could shift society from 'universal basic income' to 'universal high income', with work increasingly transforming into interests and social activities.

[Musk: China's AI May Become a Leader, AI Intelligence Could Surpass Humanity's Total in Five Years]On July 27, Musk stated in an interview with The Economist that within approximately five years, the intelligence level of artificial intelligence may surpass the total intelligence of all humanity, and that Chinese AI companies are likely to become global leaders in the future. Musk mentioned that if Chinese AI enterprises gain access to substantial computing resources, their technological development could accelerate further. He noted that China currently has a significant advantage in power supply, while the core bottleneck in AI development is shifting from chips to power and cooling capabilities. Musk pointed out that China's electricity generation has already surpassed that of the combined total of the United States, Europe, and India, and could potentially reach several times that of the U.S. in the future. He believes that the effectiveness of U.S. export controls in limiting China's AI development is limited, and if China resolves issues related to advanced chips and lithography technology, the global AI competitive landscape may change further. Additionally, Musk anticipates that AI will first impact digital jobs such as software, with future AI programming capabilities possibly exceeding those of 99% of software engineers. However, he believes that the productivity gains brought by AI could shift society from 'universal basic income' to 'universal high income', with work increasingly transforming into interests and social activities.

Musk: China's AI May Become a Leader, AI Intelligence Could Surpass Humanity's Total in Five Years

On July 27, Physical AI data engine company Axis Robotics announced the completion of a $12 million seed funding round, led by Hack VC, with participation from Nomad Capital, Pi Network Ventures, 10K Ventures, and several angel investors. Axis Robotics stated that the funds will be used to build a large-scale, human-robot collaborative global data engine to address the data bottlenecks faced in the Physical AI field, including the scarcity of training data, insufficient model generalization capabilities, and data fragmentation across different robotic hardware. Unlike large language models that rely on vast amounts of internet text data, Physical AI requires extensive real human physical interaction trajectory data for training. Founder Chris of Axis Robotics mentioned that the company is constructing a sustainable data production system to accelerate the development of general robotic intelligence by continuously generating, collecting, and optimizing robot training data. Axis's 'composite data engine' integrates task generation, data collection, model training, and optimization processes, including: randomly generating data tasks involving different objects, spatial layouts, visual environments, and robot forms through a task generation engine; providing a browser-based remote operation platform for robot simulation to enhance data collection efficiency; collecting real-world human motion data through a mobile application; and automatically completing trajectory cleaning, domain randomization, and language annotation to generate multimodal datasets suitable for model training. The company reported that it has established a global robot data network with over 100,000 active contributors, capable of generating more than 1,200 hours of simulated data and over 20,000 hours of real-world first-person perspective data each month. Axis Robotics claims that its dataset has demonstrated performance advantages in robotic benchmarking. In the LIBERO-Plus test, the π0.5 model trained on Axis's diverse dataset improved its success rate by 4.9 percentage points, achieving a 31.3 percentage point increase compared to the RoboCasa365 benchmark dataset. On the commercialization front, Axis Robotics has established partnerships with companies such as Booster Robotics, Manycore Tech, Feagine Robotics, Dexmal, Lotus Car, and Geely Automobile, providing customized training data services for robot manufacturers, Physical AI model companies, and industrial automation enterprises. The company stated that it will use this round of funding to expand its data generation capabilities, grow its global contributor network, and further develop the core data infrastructure that supports the next generation of general robotic intelligence.

[Axis Robotics Secures $12 Million in Seed Funding Led by Hack VC]On July 27, Physical AI data engine company Axis Robotics announced the completion of a $12 million seed funding round, led by Hack VC, with participation from Nomad Capital, Pi Network Ventures, 10K Ventures, and several angel investors. Axis Robotics stated that the funds will be used to build a large-scale, human-robot collaborative global data engine to address the data bottlenecks faced in the Physical AI field, including the scarcity of training data, insufficient model generalization capabilities, and data fragmentation across different robotic hardware. Unlike large language models that rely on vast amounts of internet text data, Physical AI requires extensive real human physical interaction trajectory data for training. Founder Chris of Axis Robotics mentioned that the company is constructing a sustainable data production system to accelerate the development of general robotic intelligence by continuously generating, collecting, and optimizing robot training data. Axis's 'composite data engine' integrates task generation, data collection, model training, and optimization processes, including: randomly generating data tasks involving different objects, spatial layouts, visual environments, and robot forms through a task generation engine; providing a browser-based remote operation platform for robot simulation to enhance data collection efficiency; collecting real-world human motion data through a mobile application; and automatically completing trajectory cleaning, domain randomization, and language annotation to generate multimodal datasets suitable for model training. The company reported that it has established a global robot data network with over 100,000 active contributors, capable of generating more than 1,200 hours of simulated data and over 20,000 hours of real-world first-person perspective data each month. Axis Robotics claims that its dataset has demonstrated performance advantages in robotic benchmarking. In the LIBERO-Plus test, the π0.5 model trained on Axis's diverse dataset improved its success rate by 4.9 percentage points, achieving a 31.3 percentage point increase compared to the RoboCasa365 benchmark dataset. On the commercialization front, Axis Robotics has established partnerships with companies such as Booster Robotics, Manycore Tech, Feagine Robotics, Dexmal, Lotus Car, and Geely Automobile, providing customized training data services for robot manufacturers, Physical AI model companies, and industrial automation enterprises. The company stated that it will use this round of funding to expand its data generation capabilities, grow its global contributor network, and further develop the core data infrastructure that supports the next generation of general robotic intelligence.

Axis Robotics Secures $12 Million in Seed Funding Led by Hack VC

Market data shows that BTC has fallen below $65,000, currently priced at $64,998.27, with a 24-hour increase of 0.66%. The market is experiencing significant volatility, so please ensure proper risk management.

[BTC Falls Below $65,000]Market data shows that BTC has fallen below $65,000, currently priced at $64,998.27, with a 24-hour increase of 0.66%. The market is experiencing significant volatility, so please ensure proper risk management.

BTC Falls Below $65,000

火币HTX报道，7月26日，据韩媒报道，三星电子会长李在镕与OpenAI创始人奥尔特曼于旧金山OpenAI总部会面，磋商人工智能与半导体领域合作方案。OpenAI26日对外公布，当地时间25日上午，李在镕与奥尔特曼在其旧金山总部举行会谈。OpenAI并未披露具体洽谈内容与议题，但业内观察人士判断，双方大概率围绕高带宽内存、动态随机存取存储器（DRAM）、先进晶圆代工等AI基础设施深化合作展开沟通。双方或还探讨了三星全业务线落地生成式人工智能的数字化转型方案。

【三星李在镕与OpenAI据悉磋商AI与半导体领域合作方案】火币HTX报道，7月26日，据韩媒报道，三星电子会长李在镕与OpenAI创始人奥尔特曼于旧金山OpenAI总部会面，磋商人工智能与半导体领域合作方案。OpenAI26日对外公布，当地时间25日上午，李在镕与奥尔特曼在其旧金山总部举行会谈。OpenAI并未披露具体洽谈内容与议题，但业内观察人士判断，双方大概率围绕高带宽内存、动态随机存取存储器（DRAM）、先进晶圆代工等AI基础设施深化合作展开沟通。双方或还探讨了三星全业务线落地生成式人工智能的数字化转型方案。

三星李在镕与OpenAI据悉磋商AI与半导体领域合作方案

Avalanche: Why AVAX is stalling despite a 20x surge in daily transactions

Zhongji Innolight Leads Investment in a Tsinghua '90s Postgraduate

Trump Relents on Ethics Provisions, 《CLARITY Act》 Makes Final Push Before Senate Recess

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

BIT Trading Moment: BTC Still Suppressed by Weekly 200 EMA, Rejection May Restart Decline; Storage and Semiconductors that Surged Last Night Begin Falling in Evening Trading

BUILDon loses 15% as Futures activity cools down — Another decline incoming?

From OpenSea to OpenRouter: Is Alex Atallah Repeating His 'Exit at the Peak' Playbook?

2 Months, Valuation Soars from $8.8B to $68B! The Largest AI Model Hub OpenRouter May Be Acquired

三星李在镕与OpenAI据悉磋商AI与半导体领域合作方案

Застереження：Наведені вище матеріали не представляють позицію компанії HTX.，HTX не дає жодних торгових рекомендацій.。

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