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On July 28, U.S. Treasury Secretary Scott Bessent stated that "Trump Accounts" have become "the most successful launch project in the history of the U.S. government," with approximately 7 million children having registered. Bessent revealed at the Financial Literacy Education Committee meeting that the number of registrations has further increased from 6.5 million earlier this month. The Treasury Department stated that the early registration speed of Trump Accounts has surpassed other digital platforms and financial products. The Trump Account, officially launched on July 4, is also known as the 530A account, and is open to all U.S. children under 18 who have a Social Security number. According to the plan, children born between 2025 and 2028 will receive a one-time initial deposit of $1,000 from the U.S. Treasury. Parents, guardians, grandparents, etc., can deposit an additional up to $5,000 annually, with funds invested in an ETF tracking the S&P 500 index. Bessent said the project will help ordinary American families enter the capital market, "creating a new generation of shareholders," allowing families long excluded from Wall Street to participate in stock investments. Consulting firm McKinsey previously analyzed that if widely participated, Trump Accounts could accumulate approximately $80 billion to over $900 billion for American children over the next decade. However, the final scale depends on family participation rates, willingness to continue investing, and long-term investment performance.

[Trump Account Registrations Exceed 7 Million, U.S. Treasury Secretary Calls It Most Successful Government Launch in History]On July 28, U.S. Treasury Secretary Scott Bessent stated that "Trump Accounts" have become "the most successful launch project in the history of the U.S. government," with approximately 7 million children having registered. Bessent revealed at the Financial Literacy Education Committee meeting that the number of registrations has further increased from 6.5 million earlier this month. The Treasury Department stated that the early registration speed of Trump Accounts has surpassed other digital platforms and financial products. The Trump Account, officially launched on July 4, is also known as the 530A account, and is open to all U.S. children under 18 who have a Social Security number. According to the plan, children born between 2025 and 2028 will receive a one-time initial deposit of $1,000 from the U.S. Treasury. Parents, guardians, grandparents, etc., can deposit an additional up to $5,000 annually, with funds invested in an ETF tracking the S&P 500 index. Bessent said the project will help ordinary American families enter the capital market, "creating a new generation of shareholders," allowing families long excluded from Wall Street to participate in stock investments. Consulting firm McKinsey previously analyzed that if widely participated, Trump Accounts could accumulate approximately $80 billion to over $900 billion for American children over the next decade. However, the final scale depends on family participation rates, willingness to continue investing, and long-term investment performance.

Trump Account Registrations Exceed 7 Million, U.S. Treasury Secretary Calls It Most Successful Government Launch in History

On July 28, data from the Korea Exchange showed that the combined daily turnover of 16 single-stock leveraged and inverse ETFs tracking Samsung Electronics and SK Hynix fell below the 10 trillion won mark on Monday (July 27), reaching 7.46 trillion won. This represents a 27% decrease from the previous trading day and a decline of over 30% compared to the average daily turnover of the prior week, with their share of total ETF market turnover also dropping to 36.9%. Among them, SK Hynix-related products still dominated trading, accounting for approximately 70% of all single-stock leveraged and inverse ETF turnover. Market analysts attribute the cooling trading activity to new financial regulatory measures in South Korea. Starting July 31, individual investors in South Korea must hold a cash margin of at least 30 million won to purchase or increase positions in single-stock leveraged ETFs/ETNs. Additionally, regulators plan to raise the minimum trading unit to further curb high-frequency short-term trading.

[South Korea Single-Stock Leveraged ETF Daily Turnover Falls Below 10 Trillion Won Ahead of New Regulations]On July 28, data from the Korea Exchange showed that the combined daily turnover of 16 single-stock leveraged and inverse ETFs tracking Samsung Electronics and SK Hynix fell below the 10 trillion won mark on Monday (July 27), reaching 7.46 trillion won. This represents a 27% decrease from the previous trading day and a decline of over 30% compared to the average daily turnover of the prior week, with their share of total ETF market turnover also dropping to 36.9%. Among them, SK Hynix-related products still dominated trading, accounting for approximately 70% of all single-stock leveraged and inverse ETF turnover. Market analysts attribute the cooling trading activity to new financial regulatory measures in South Korea. Starting July 31, individual investors in South Korea must hold a cash margin of at least 30 million won to purchase or increase positions in single-stock leveraged ETFs/ETNs. Additionally, regulators plan to raise the minimum trading unit to further curb high-frequency short-term trading.

South Korea Single-Stock Leveraged ETF Daily Turnover Falls Below 10 Trillion Won Ahead of New Regulations

On July 28, according to WSJ citing sources familiar with the matter, Nvidia and OpenAI are in talks about a massive AI data center project worth approximately $500 billion, located in southern Ohio, with a planned maximum power capacity of 10GW, potentially making it the largest data center project in the world. The report states that Nvidia may provide OpenAI with around $250 billion to lease a data center campus developed by SBEnergy, a subsidiary of SoftBank's energy division. The total project cost is expected to exceed $500 billion, including up to $350 billion for AI chip purchases. The first phase of the data center is expected to be completed by 2028, with an initial power capacity of about 800MW. If fully realized, the 10GW power scale would far exceed most current large-scale AI infrastructure projects, equivalent to meeting the electricity needs of approximately 8.4 million U.S. households. Sources indicate that the project's power resources are located on U.S. federal land and are jointly supported by the U.S. and Japan. Japan has previously committed to investing $33 billion in related energy infrastructure in exchange for tariff reductions. As demand for AI computing power continues to surge, Nvidia is accelerating its deployment of large-scale AI infrastructure, forming deep partnerships with companies such as OpenAI, Meta, Microsoft, and Amazon. If the project moves forward, it will further solidify Nvidia's core position in the AI computing supply chain and push global AI infrastructure into a 'trillion-dollar' competitive phase.

[Nvidia and OpenAI Exploring $500 Billion AI Data Center Project, 10GW Could Become World's Largest]On July 28, according to WSJ citing sources familiar with the matter, Nvidia and OpenAI are in talks about a massive AI data center project worth approximately $500 billion, located in southern Ohio, with a planned maximum power capacity of 10GW, potentially making it the largest data center project in the world. The report states that Nvidia may provide OpenAI with around $250 billion to lease a data center campus developed by SBEnergy, a subsidiary of SoftBank's energy division. The total project cost is expected to exceed $500 billion, including up to $350 billion for AI chip purchases. The first phase of the data center is expected to be completed by 2028, with an initial power capacity of about 800MW. If fully realized, the 10GW power scale would far exceed most current large-scale AI infrastructure projects, equivalent to meeting the electricity needs of approximately 8.4 million U.S. households. Sources indicate that the project's power resources are located on U.S. federal land and are jointly supported by the U.S. and Japan. Japan has previously committed to investing $33 billion in related energy infrastructure in exchange for tariff reductions. As demand for AI computing power continues to surge, Nvidia is accelerating its deployment of large-scale AI infrastructure, forming deep partnerships with companies such as OpenAI, Meta, Microsoft, and Amazon. If the project moves forward, it will further solidify Nvidia's core position in the AI computing supply chain and push global AI infrastructure into a 'trillion-dollar' competitive phase.

Nvidia and OpenAI Exploring $500 Billion AI Data Center Project, 10GW Could Become World's Largest

On July 28, U.S. Treasury Secretary Scott Bessent stated that the 'Trump Accounts' have become 'the most successful launch project in U.S. government history,' with approximately 7 million children already registered. Bessent revealed during a meeting of the Financial Literacy and Education Commission that registrations have increased from 6.5 million earlier this month. The Treasury Department noted that the early registration pace for Trump Accounts has surpassed that of other digital platforms and financial products. Officially launched on July 4, the Trump Accounts, also known as 530A accounts, are open to all American children under the age of 18 with a Social Security number. Under the plan, children born between 2025 and 2028 will receive a one-time initial deposit of $1,000 from the U.S. Treasury. Parents, guardians, grandparents, and others can contribute up to an additional $5,000 annually, with funds invested in an ETF tracking the performance of the S&P 500 index. Bessent said the program aims to help ordinary American families access capital markets, 'creating a new generation of shareholders,' and enabling families long excluded from Wall Street to participate in stock investments. Consulting firm McKinsey previously analyzed that if widely adopted, Trump Accounts could accumulate between approximately $80 billion and $900 billion or more in assets for American children over the next decade. However, the final scale depends on household participation rates, willingness to continue contributions, and long-term investment performance.

[Trump Account Registrations Surpass 7 Million, Treasury Secretary Calls It 'Most Successful Government Launch']On July 28, U.S. Treasury Secretary Scott Bessent stated that the 'Trump Accounts' have become 'the most successful launch project in U.S. government history,' with approximately 7 million children already registered. Bessent revealed during a meeting of the Financial Literacy and Education Commission that registrations have increased from 6.5 million earlier this month. The Treasury Department noted that the early registration pace for Trump Accounts has surpassed that of other digital platforms and financial products. Officially launched on July 4, the Trump Accounts, also known as 530A accounts, are open to all American children under the age of 18 with a Social Security number. Under the plan, children born between 2025 and 2028 will receive a one-time initial deposit of $1,000 from the U.S. Treasury. Parents, guardians, grandparents, and others can contribute up to an additional $5,000 annually, with funds invested in an ETF tracking the performance of the S&P 500 index. Bessent said the program aims to help ordinary American families access capital markets, 'creating a new generation of shareholders,' and enabling families long excluded from Wall Street to participate in stock investments. Consulting firm McKinsey previously analyzed that if widely adopted, Trump Accounts could accumulate between approximately $80 billion and $900 billion or more in assets for American children over the next decade. However, the final scale depends on household participation rates, willingness to continue contributions, and long-term investment performance.

Trump Account Registrations Surpass 7 Million, Treasury Secretary Calls It 'Most Successful Government Launch'

On July 28, U.S. President Donald Trump stated that Iran has requested a meeting through intermediaries, and the U.S. is engaged in 'good negotiations' with Iran, adding that both sides have 'a very good chance of reaching some results.' Trump said, 'Iran wants to meet, and we will meet with them.' He also emphasized that he has 'a lot of patience and plenty of time,' and noted that the U.S. has a large amount of ammunition and hopes to obtain more. Regarding the situation in the Strait of Hormuz, Trump said the U.S. would use Iranian funds to pay for Hormuz-related losses. Additionally, he revealed that there are certain differences between the U.S. and Israel on the Iran issue, but they are 'very close to reaching an agreement.' Trump also stated that he will consult Russian President Vladimir Putin on Russia's actions regarding Iran and inquire about relevant satellite imagery. He further said the U.S. is mass-producing 'Patriot' missiles and may need to get involved in issues related to the Houthis.

[Trump: US-Iran Talks Have 'Very Good Chance of Reaching Results', Plans to Use Iranian Funds for Hormuz Losses]On July 28, U.S. President Donald Trump stated that Iran has requested a meeting through intermediaries, and the U.S. is engaged in 'good negotiations' with Iran, adding that both sides have 'a very good chance of reaching some results.' Trump said, 'Iran wants to meet, and we will meet with them.' He also emphasized that he has 'a lot of patience and plenty of time,' and noted that the U.S. has a large amount of ammunition and hopes to obtain more. Regarding the situation in the Strait of Hormuz, Trump said the U.S. would use Iranian funds to pay for Hormuz-related losses. Additionally, he revealed that there are certain differences between the U.S. and Israel on the Iran issue, but they are 'very close to reaching an agreement.' Trump also stated that he will consult Russian President Vladimir Putin on Russia's actions regarding Iran and inquire about relevant satellite imagery. He further said the U.S. is mass-producing 'Patriot' missiles and may need to get involved in issues related to the Houthis.

Trump: US-Iran Talks Have 'Very Good Chance of Reaching Results', Plans to Use Iranian Funds for Hormuz Losses

On July 28, digital asset trading platform Uphold announced a reduction of approximately 17% of its global workforce, affecting 85 full-time and contract employees. The company stated that the adjustment aims to redirect resources toward its rapidly growing enterprise services business. Uphold CEO Simon McLoughlin said that the company had experienced rapid expansion over the past few years, with its workforce nearly doubling, and that this layoff represents a strategic realignment. Despite the current slowdown in crypto market trading activity, the company remains optimistic about the long-term development of digital assets and blockchain technology. Founded in 2015 and headquartered in New York, Uphold provides users with trading services for cryptocurrencies, fiat currencies, stocks, and precious metals. In recent years, the company has gradually expanded its enterprise-level infrastructure business, helping banks, fintech companies, and brokerages access crypto trading and custody services. The layoffs come amid a prolonged downturn in the crypto market. By the end of the second quarter of 2026, the total global cryptocurrency market capitalization had fallen to approximately $2.1 trillion, with trading volumes declining and retail participation weakening due to high interest rates, geopolitical uncertainty, and outflows from crypto ETFs. Uphold stated that it has not closed its UK operations or other overseas offices, and normal operations continue in all regions. Looking ahead, the company plans to further expand its enterprise platform while adding features such as U.S. stocks, tokenized securities, asset-backed loans, credit cards, prediction markets, and DeFi yield in its consumer application. Market observers believe that Uphold's adjustment reflects the crypto industry's shift from relying on retail trading revenue to competing in institutional services, asset tokenization, and financial infrastructure.

[Digital Asset Platform Uphold Lays Off 17% of Staff, Shifts to Enterprise Business]On July 28, digital asset trading platform Uphold announced a reduction of approximately 17% of its global workforce, affecting 85 full-time and contract employees. The company stated that the adjustment aims to redirect resources toward its rapidly growing enterprise services business. Uphold CEO Simon McLoughlin said that the company had experienced rapid expansion over the past few years, with its workforce nearly doubling, and that this layoff represents a strategic realignment. Despite the current slowdown in crypto market trading activity, the company remains optimistic about the long-term development of digital assets and blockchain technology. Founded in 2015 and headquartered in New York, Uphold provides users with trading services for cryptocurrencies, fiat currencies, stocks, and precious metals. In recent years, the company has gradually expanded its enterprise-level infrastructure business, helping banks, fintech companies, and brokerages access crypto trading and custody services. The layoffs come amid a prolonged downturn in the crypto market. By the end of the second quarter of 2026, the total global cryptocurrency market capitalization had fallen to approximately $2.1 trillion, with trading volumes declining and retail participation weakening due to high interest rates, geopolitical uncertainty, and outflows from crypto ETFs. Uphold stated that it has not closed its UK operations or other overseas offices, and normal operations continue in all regions. Looking ahead, the company plans to further expand its enterprise platform while adding features such as U.S. stocks, tokenized securities, asset-backed loans, credit cards, prediction markets, and DeFi yield in its consumer application. Market observers believe that Uphold's adjustment reflects the crypto industry's shift from relying on retail trading revenue to competing in institutional services, asset tokenization, and financial infrastructure.

Digital Asset Platform Uphold Lays Off 17% of Staff, Shifts to Enterprise Business

On July 28, Moonshot AI’s latest model, Kimi K3, was officially launched on Hugging Face and quickly rose to the platform’s Trending Top 1. Hugging Face CEO Clem Delangue stated that Kimi K3 received over 4,000 likes within just 30 minutes of its release, marking one of the fastest growth records on the platform to date. This launch further expands the influence of Chinese large models in the global open-source community. With domestic models such as DeepSeek and Qwen continuing to advance the open-source ecosystem, Chinese AI models are accelerating their entry into the global developer competition.

[Kimi K3 Open-Source Tops Hugging Face Trending, Achieves 4000+ Likes in 30 Minutes, Setting Fastest Growth Record]On July 28, Moonshot AI’s latest model, Kimi K3, was officially launched on Hugging Face and quickly rose to the platform’s Trending Top 1. Hugging Face CEO Clem Delangue stated that Kimi K3 received over 4,000 likes within just 30 minutes of its release, marking one of the fastest growth records on the platform to date. This launch further expands the influence of Chinese large models in the global open-source community. With domestic models such as DeepSeek and Qwen continuing to advance the open-source ecosystem, Chinese AI models are accelerating their entry into the global developer competition.

Kimi K3 Open-Source Tops Hugging Face Trending, Achieves 4000+ Likes in 30 Minutes, Setting Fastest Growth Record

According to Beating monitoring, Moonshot AI has released the Kimi K3 technical report. K3 has 2.8 trillion total parameters, with 104 billion parameters activated per token, and its base architecture is a complete overhaul compared to K2. The increase in parameters is only part of the story. Moonshot AI states that the new architecture, data, and training methods have improved K3's overall scaling efficiency by approximately 2.5 times over K2. According to its scaling law curve, achieving the same validation loss requires only about 40% of the training computation needed for K2. First, K3 rewrites attention. It uses KDA to handle long sequences, and adds a global MLA layer every three layers. KDA compresses previous content into a fixed-size state, reducing the computational and cache pressure for contexts of millions of tokens; MLA is responsible for preserving global information exchange. It also introduces Attention Residuals. Traditional models can only continuously stack information from all previous layers, while K3 allows each layer to directly select needed content from earlier network blocks. As the model becomes deeper, early information is less likely to be diluted. MoE has also been redesigned. K3 has 896 routing experts, with 16 activated per token, double that of K2. The routing experts first compute in a compressed space and then return to the model backbone. New activation functions and load balancing algorithms are used to prevent loss of control during training of the ultra-large model. What truly enhances Agent capabilities is post-training. Moonshot AI separately trains general, Agent, and code models, then trains three thinking intensities for each direction, and finally merges the nine experts. Training tasks can include up to thousands of tool calls and continuously retain file, application, and virtual machine states. In multiple code, search, and tool call tests, K3 has approached or led top closed-source models such as Fable 5 and GPT-5.6 Sol. Its leap is not just about stacking parameters, but pushing the larger base, new architecture, and million-token Agent reinforcement learning to the limit.

[How Kimi K3 Closes the Gap with Fable 5: Moonshot AI Rewrites Attention, Residuals, and MoE]According to Beating monitoring, Moonshot AI has released the Kimi K3 technical report. K3 has 2.8 trillion total parameters, with 104 billion parameters activated per token, and its base architecture is a complete overhaul compared to K2. The increase in parameters is only part of the story. Moonshot AI states that the new architecture, data, and training methods have improved K3's overall scaling efficiency by approximately 2.5 times over K2. According to its scaling law curve, achieving the same validation loss requires only about 40% of the training computation needed for K2. First, K3 rewrites attention. It uses KDA to handle long sequences, and adds a global MLA layer every three layers. KDA compresses previous content into a fixed-size state, reducing the computational and cache pressure for contexts of millions of tokens; MLA is responsible for preserving global information exchange. It also introduces Attention Residuals. Traditional models can only continuously stack information from all previous layers, while K3 allows each layer to directly select needed content from earlier network blocks. As the model becomes deeper, early information is less likely to be diluted. MoE has also been redesigned. K3 has 896 routing experts, with 16 activated per token, double that of K2. The routing experts first compute in a compressed space and then return to the model backbone. New activation functions and load balancing algorithms are used to prevent loss of control during training of the ultra-large model. What truly enhances Agent capabilities is post-training. Moonshot AI separately trains general, Agent, and code models, then trains three thinking intensities for each direction, and finally merges the nine experts. Training tasks can include up to thousands of tool calls and continuously retain file, application, and virtual machine states. In multiple code, search, and tool call tests, K3 has approached or led top closed-source models such as Fable 5 and GPT-5.6 Sol. Its leap is not just about stacking parameters, but pushing the larger base, new architecture, and million-token Agent reinforcement learning to the limit.

How Kimi K3 Closes the Gap with Fable 5: Moonshot AI Rewrites Attention, Residuals, and MoE

On July 28, NVIDIA announced a multi-year strategic partnership with Safe Superintelligence (SSI), founded by OpenAI co-founder and former chief scientist Ilya Sutskever, with an investment of billions of dollars to bolster next-generation AI research. According to sources familiar with the matter, SSI is receiving billions in funding from NVIDIA to build large-scale computing infrastructure to support its new AI research direction. The specific investment amount was not disclosed by either party. As part of the partnership, SSI will adopt NVIDIA's latest Vera Rubin AI computing platform, and its available computing power is expected to increase approximately 10-fold within the next 12 months. SSI stated that it has achieved "research breakthroughs worth scaling," and access to large-scale NVIDIA computing resources will help the team further advance its research. Founded in 2024 by Ilya Sutskever, SSI aims to develop "Safe Superintelligence." The company remains highly low-profile, having not yet released any products or publicly disclosed research results. However, leveraging Sutskever's influence in the AI field, it raised about $2 billion last year, reaching a valuation of roughly $32 billion. This partnership is also the latest example of NVIDIA's continued alignment with AI model companies. Previously, NVIDIA invested in OpenAI and Thinking Machines Lab, founded by former OpenAI CTO Mira Murati. Meanwhile, competitor AMD announced last week an investment of up to $5 billion in Anthropic. Sutskever is a key figure in the development of modern AI, having contributed to advancing the "Scaling Law" for large language models and participating in creating the technical foundation behind ChatGPT. However, in recent years, he has begun to question whether simply scaling up model size remains the sole path to AI breakthroughs and has been exploring new research directions in AI. NVIDIA CEO Jensen Huang remarked that Sutskever has already driven significant breakthroughs in foundational modern AI technology, and the company looks forward to SSI achieving new AI progress supported by the Vera Rubin platform.

[NVIDIA Invests Billions in Ilya Sutskever's Superintelligence Lab]On July 28, NVIDIA announced a multi-year strategic partnership with Safe Superintelligence (SSI), founded by OpenAI co-founder and former chief scientist Ilya Sutskever, with an investment of billions of dollars to bolster next-generation AI research. According to sources familiar with the matter, SSI is receiving billions in funding from NVIDIA to build large-scale computing infrastructure to support its new AI research direction. The specific investment amount was not disclosed by either party. As part of the partnership, SSI will adopt NVIDIA's latest Vera Rubin AI computing platform, and its available computing power is expected to increase approximately 10-fold within the next 12 months. SSI stated that it has achieved "research breakthroughs worth scaling," and access to large-scale NVIDIA computing resources will help the team further advance its research. Founded in 2024 by Ilya Sutskever, SSI aims to develop "Safe Superintelligence." The company remains highly low-profile, having not yet released any products or publicly disclosed research results. However, leveraging Sutskever's influence in the AI field, it raised about $2 billion last year, reaching a valuation of roughly $32 billion. This partnership is also the latest example of NVIDIA's continued alignment with AI model companies. Previously, NVIDIA invested in OpenAI and Thinking Machines Lab, founded by former OpenAI CTO Mira Murati. Meanwhile, competitor AMD announced last week an investment of up to $5 billion in Anthropic. Sutskever is a key figure in the development of modern AI, having contributed to advancing the "Scaling Law" for large language models and participating in creating the technical foundation behind ChatGPT. However, in recent years, he has begun to question whether simply scaling up model size remains the sole path to AI breakthroughs and has been exploring new research directions in AI. NVIDIA CEO Jensen Huang remarked that Sutskever has already driven significant breakthroughs in foundational modern AI technology, and the company looks forward to SSI achieving new AI progress supported by the Vera Rubin platform.

NVIDIA Invests Billions in Ilya Sutskever's Superintelligence Lab

HTX data monitoring shows that BTC has fallen below 62000 USDT, currently reported at 61966.02 USDT, with a 24H decline of 1.72%.

【BTC drops below 62000 USDT】HTX data monitoring shows that BTC has fallen below 62000 USDT, currently reported at 61966.02 USDT, with a 24H decline of 1.72%.

BTC drops below 62000 USDT

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