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JPMorgan is optimistic about memory demand and has assigned SanDisk an 'Overweight' rating with a target price of $2250.

[JPMorgan Gives SanDisk 'Overweight' Rating with Target Price of $2250]JPMorgan is optimistic about memory demand and has assigned SanDisk an 'Overweight' rating with a target price of $2250.

JPMorgan Gives SanDisk 'Overweight' Rating with Target Price of $2250

According to market news, the decentralized derivatives trading protocol Hyperliquid has reached an open interest of $11.73 billion across its network, marking the highest level since October 10, 2025.

[Hyperliquid's Open Interest Reaches $11.73 Billion, Hitting New High Since October 10, 2025]According to market news, the decentralized derivatives trading protocol Hyperliquid has reached an open interest of $11.73 billion across its network, marking the highest level since October 10, 2025.

Hyperliquid's Open Interest Reaches $11.73 Billion, Hitting New High Since October 10, 2025

Goldman Sachs stated in its latest research report that SanDisk's Investor Day revealed stronger-than-expected signals for long-term profitability and shareholder returns. Additionally, HBF (High Bandwidth Flash) technology offers extra growth potential for AI storage. The firm maintains a 'Buy' rating and a target price of $2,200.

[Goldman Sachs: SanDisk's Long-Term Profit Goals Exceed Expectations, HBF Expected to Open New AI Storage Opportunities]Goldman Sachs stated in its latest research report that SanDisk's Investor Day revealed stronger-than-expected signals for long-term profitability and shareholder returns. Additionally, HBF (High Bandwidth Flash) technology offers extra growth potential for AI storage. The firm maintains a 'Buy' rating and a target price of $2,200.

Goldman Sachs: SanDisk's Long-Term Profit Goals Exceed Expectations, HBF Expected to Open New AI Storage Opportunities

The U.S. Securities and Exchange Commission (SEC) has once again postponed its tokenization 'innovation exemption' plan. This framework aims to allow companies to test blockchain-based tokenized trading of U.S. stocks without having to meet the full standards required for exchanges and broker-dealers. The delay is related to ongoing negotiations regarding Section 10505 of the CLARITY Act draft in the U.S. Senate. This provision states that tokenized securities still qualify as securities and requires the SEC to study issues related to custody, consumer protection, cross-border matters, and regulatory coordination. Additionally, the SEC has postponed a scheduled vote on a proposal for exemptions for crypto startups' financing that was set for Friday, citing scheduling issues, with no new date announced yet. The House version of the CLARITY Act passed in July 2025, while the Senate Banking Committee version advanced in May with a vote of 15 to 9, with procedural voting in the Senate expected no earlier than September 15.

[SEC Delays Tokenization Exemption Again, Negotiations on CLARITY Act Provisions Pending]The U.S. Securities and Exchange Commission (SEC) has once again postponed its tokenization 'innovation exemption' plan. This framework aims to allow companies to test blockchain-based tokenized trading of U.S. stocks without having to meet the full standards required for exchanges and broker-dealers. The delay is related to ongoing negotiations regarding Section 10505 of the CLARITY Act draft in the U.S. Senate. This provision states that tokenized securities still qualify as securities and requires the SEC to study issues related to custody, consumer protection, cross-border matters, and regulatory coordination. Additionally, the SEC has postponed a scheduled vote on a proposal for exemptions for crypto startups' financing that was set for Friday, citing scheduling issues, with no new date announced yet. The House version of the CLARITY Act passed in July 2025, while the Senate Banking Committee version advanced in May with a vote of 15 to 9, with procedural voting in the Senate expected no earlier than September 15.

SEC Delays Tokenization Exemption Again, Negotiations on CLARITY Act Provisions Pending

Since the beginning of this year, China's loan rates have remained at a low level, continuing a downward trend in July. In July, the weighted average interest rate for new corporate loans was slightly below 3%, approximately 0.2 percentage points lower than the same period last year; the weighted average interest rate for new personal housing loans was about 3.1%, roughly unchanged from the same period last year. (Xinhua News Agency)

[July Loan Rates Remain Low]Since the beginning of this year, China's loan rates have remained at a low level, continuing a downward trend in July. In July, the weighted average interest rate for new corporate loans was slightly below 3%, approximately 0.2 percentage points lower than the same period last year; the weighted average interest rate for new personal housing loans was about 3.1%, roughly unchanged from the same period last year. (Xinhua News Agency)

July Loan Rates Remain Low

According to monitoring by Dongcha Beating, AI model evaluation company Vals AI has completed a $40 million Series A funding round, achieving a valuation of $400 million, led by a16z. Existing investors such as 8VC, Pear VC, and Bloomberg Beta also participated. Vals specializes in third-party evaluations of large models. Currently, many models report their performance metrics based on self-assessments by the manufacturers. Vals, however, conducts unified testing of different models using real tasks from programming, finance, law, and healthcare. The company claims its results have been cited in model cards from OpenAI, Anthropic, Google, Meta, and xAI, with this year's revenue already reaching eight times that of the entire year of 2025. a16z is particularly interested in the value of this 'third-party evaluation.' Public benchmarks are increasingly susceptible to score manipulation, inclusion of training data, and even targeted optimizations by manufacturers, meaning high scores on leaderboards do not necessarily equate to real-world usability. Additionally, Vals has fully opened Vals Smith, allowing users to create coding benchmarks directly from any GitHub repository. The system extracts real development tasks from historical pull requests and uses hidden tests to check whether models can complete them. This enables companies to directly test which model is best suited for their codebase, rather than relying solely on public leaderboards.

[a16z Enters AI 'Third-Party Evaluation': Vals Secures $40 Million Funding]According to monitoring by Dongcha Beating, AI model evaluation company Vals AI has completed a $40 million Series A funding round, achieving a valuation of $400 million, led by a16z. Existing investors such as 8VC, Pear VC, and Bloomberg Beta also participated. Vals specializes in third-party evaluations of large models. Currently, many models report their performance metrics based on self-assessments by the manufacturers. Vals, however, conducts unified testing of different models using real tasks from programming, finance, law, and healthcare. The company claims its results have been cited in model cards from OpenAI, Anthropic, Google, Meta, and xAI, with this year's revenue already reaching eight times that of the entire year of 2025. a16z is particularly interested in the value of this 'third-party evaluation.' Public benchmarks are increasingly susceptible to score manipulation, inclusion of training data, and even targeted optimizations by manufacturers, meaning high scores on leaderboards do not necessarily equate to real-world usability. Additionally, Vals has fully opened Vals Smith, allowing users to create coding benchmarks directly from any GitHub repository. The system extracts real development tasks from historical pull requests and uses hidden tests to check whether models can complete them. This enables companies to directly test which model is best suited for their codebase, rather than relying solely on public leaderboards.

a16z Enters AI 'Third-Party Evaluation': Vals Secures $40 Million Funding

On August 14, according to monitoring by Lookonchain, the whale 19pFLW purchased 300 bitcoins 5 hours ago, valued at $19.03 million. This whale currently holds 1,120 bitcoins, worth $70.43 million, with an average purchase price of $69,294.

[Whale Accumulates 300 Bitcoins, Total BTC Holdings Worth $70.43 Million]On August 14, according to monitoring by Lookonchain, the whale 19pFLW purchased 300 bitcoins 5 hours ago, valued at $19.03 million. This whale currently holds 1,120 bitcoins, worth $70.43 million, with an average purchase price of $69,294.

Whale Accumulates 300 Bitcoins, Total BTC Holdings Worth $70.43 Million

According to 36Kr, Xu Can, a senior researcher at Hunyuan, has recently joined Tencent's WeLM team to work on large model development. Multiple sources indicate that before Yao Shunyu took over the development of Tencent's large language model, Xu was responsible for a post-training direction within the Hunyuan LLM system. Notably, this transition occurs as WeChat continues to strengthen its self-developed large model and agent capabilities. In June, WeChat's native AI assistant 'Xiao Wei' entered a limited gray testing phase, allowing users to operate WeChat's native functions through text or voice and utilize mini-programs to complete service tasks. Public recruitment information also shows that WeChat is currently hiring researchers for WeLM in the areas of inference optimization and agent development, and Xu's addition may further enhance WeLM's research and development capabilities in training, inference, and complex task execution.

[Xu Can Transitions to Tencent WeLM Team]According to 36Kr, Xu Can, a senior researcher at Hunyuan, has recently joined Tencent's WeLM team to work on large model development. Multiple sources indicate that before Yao Shunyu took over the development of Tencent's large language model, Xu was responsible for a post-training direction within the Hunyuan LLM system. Notably, this transition occurs as WeChat continues to strengthen its self-developed large model and agent capabilities. In June, WeChat's native AI assistant 'Xiao Wei' entered a limited gray testing phase, allowing users to operate WeChat's native functions through text or voice and utilize mini-programs to complete service tasks. Public recruitment information also shows that WeChat is currently hiring researchers for WeLM in the areas of inference optimization and agent development, and Xu's addition may further enhance WeLM's research and development capabilities in training, inference, and complex task execution.

Xu Can Transitions to Tencent WeLM Team

According to reports, the buyer of Alibaba's Lingxi Interactive Entertainment has been confirmed as Trustar Capital, a subsidiary of CITIC Capital, with the sale price expected to exceed $1.5 billion (approximately 10.1 billion RMB). (21st Century Business Herald)

[Alibaba Sells Lingxi Interactive Entertainment to CITIC Capital for Over $1.5 Billion]According to reports, the buyer of Alibaba's Lingxi Interactive Entertainment has been confirmed as Trustar Capital, a subsidiary of CITIC Capital, with the sale price expected to exceed $1.5 billion (approximately 10.1 billion RMB). (21st Century Business Herald)

Alibaba Sells Lingxi Interactive Entertainment to CITIC Capital for Over $1.5 Billion

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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