On July 6, an investor asked Shangluo Electronics on an interactive platform whether the company is a distributor for Sandisk. Shangluo Electronics responded that the company has not yet obtained the official distributor qualification from Sandisk.

On July 6, an investor asked Shangluo Electronics on an interactive platform whether the company is a distributor for Sandisk. Shangluo Electronics responded that the company has not yet obtained the official distributor qualification from Sandisk.

On July 6, South Korea's Supreme Court proposed a draft amendment to civil execution rules, aiming to establish procedures for the seizure, confiscation, and liquidation of crypto assets, providing a clear legal basis for enforcing civil judgments involving cryptocurrencies. According to the draft, once the court issues a seizure order, the debtor will be immediately prohibited from disposing of the relevant crypto assets and must transfer the assets to the court's enforcement officer. The seizure will take effect once the officer receives the assets. Regarding asset disposal, the court may directly transfer the crypto assets to the creditor at a value determined by the court, or instruct the enforcement officer to sell the assets. The officer can transfer the assets to a dedicated account of a Virtual Asset Service Provider (VASP) for sale or commission a relevant platform to sell them. If necessary, the assets may first be converted into more liquid cryptocurrencies like Bitcoin before liquidation. Additionally, the amendment draft clarifies preservation measures for crypto assets during litigation, including provisional attachments and injunctions, to prevent debtors from transferring or hiding crypto assets. The Supreme Court of South Korea stated that with the increasing number of civil cases involving crypto assets, it is essential to improve the relevant enforcement rules. The draft will be open for public consultation until August 11, with the revised content expected to take effect in October this year.

On July 6, South Korea's Supreme Court proposed a draft amendment to civil execution rules, aiming to establish procedures for the seizure, confiscation, and liquidation of crypto assets, providing a clear legal basis for enforcing civil judgments involving cryptocurrencies. According to the draft, once the court issues a seizure order, the debtor will be immediately prohibited from disposing of the relevant crypto assets and must transfer the assets to the court's enforcement officer. The seizure will take effect once the officer receives the assets. Regarding asset disposal, the court may directly transfer the crypto assets to the creditor at a value determined by the court, or instruct the enforcement officer to sell the assets. The officer can transfer the assets to a dedicated account of a Virtual Asset Service Provider (VASP) for sale or commission a relevant platform to sell them. If necessary, the assets may first be converted into more liquid cryptocurrencies like Bitcoin before liquidation. Additionally, the amendment draft clarifies preservation measures for crypto assets during litigation, including provisional attachments and injunctions, to prevent debtors from transferring or hiding crypto assets. The Supreme Court of South Korea stated that with the increasing number of civil cases involving crypto assets, it is essential to improve the relevant enforcement rules. The draft will be open for public consultation until August 11, with the revised content expected to take effect in October this year.

According to monitoring by Beating, major model applications such as Doubao from ByteDance, Tongyi Qianwen from Alibaba, and Yuanbao from Tencent are gradually shutting down or adjusting their custom 'AI Companion' features. Doubao has notified users that it will discontinue the custom character feature on July 15 and guide users in need to independent companion applications. This move aims to comply with new regulations for generative AI in China that will take effect in mid-July. The regulations, promoted by the National Internet Information Office, focus on preventing the negative impacts that anthropomorphized AI services may cause. They explicitly prohibit platforms from generating content that could trigger extreme emotions in minors and from inducing users to develop pathological emotional dependencies that erode real-life social interactions. Additionally, providers are not allowed to use sensitive user dialogue data to train future large models. Compared to the proactive compliance actions in China, virtual companion applications in the U.S. are facing greater legal pressures. Both OpenAI and Character.AI have been accused of inducing dangerous emotional dependencies, even leading to extreme tragedies, and are embroiled in a series of lawsuits. In addition to software applications, the China Robot Industry Association has also begun promoting standards for physical companion robots and humanoid robots.

According to monitoring by Beating, major model applications such as Doubao from ByteDance, Tongyi Qianwen from Alibaba, and Yuanbao from Tencent are gradually shutting down or adjusting their custom 'AI Companion' features. Doubao has notified users that it will discontinue the custom character feature on July 15 and guide users in need to independent companion applications. This move aims to comply with new regulations for generative AI in China that will take effect in mid-July. The regulations, promoted by the National Internet Information Office, focus on preventing the negative impacts that anthropomorphized AI services may cause. They explicitly prohibit platforms from generating content that could trigger extreme emotions in minors and from inducing users to develop pathological emotional dependencies that erode real-life social interactions. Additionally, providers are not allowed to use sensitive user dialogue data to train future large models. Compared to the proactive compliance actions in China, virtual companion applications in the U.S. are facing greater legal pressures. Both OpenAI and Character.AI have been accused of inducing dangerous emotional dependencies, even leading to extreme tragedies, and are embroiled in a series of lawsuits. In addition to software applications, the China Robot Industry Association has also begun promoting standards for physical companion robots and humanoid robots.

On July 6, prediction platform Polymarket reported that the France team holds the highest implied championship probability at 35.4%. French player Kylian Mbappé leads the World Cup Golden Boot market with odds of 51%.

On July 6, prediction platform Polymarket reported that the France team holds the highest implied championship probability at 35.4%. French player Kylian Mbappé leads the World Cup Golden Boot market with odds of 51%.

On July 6, August Hyldgaard of the Danish Bank stated in a report that after taking its first action in over three years in June, the Danish central bank may intervene further to support the Danish krone. Data released on Thursday showed that the central bank net purchased 700 million kroner in the market to defend its peg with the euro. Hyldgaard noted that history indicates the central bank will respond to the need for expanded intervention, with the scale of intervention potentially around 50 billion kroner. The Danish Bank expects the central bank to set a short-term euro cap at 7.4758 kroner. Data from the London Stock Exchange Group showed the euro was flat against the Danish krone at 7.4746 kroner, after previously reaching an 11-year high of 7.4759 kroner on June 25.

On July 6, August Hyldgaard of the Danish Bank stated in a report that after taking its first action in over three years in June, the Danish central bank may intervene further to support the Danish krone. Data released on Thursday showed that the central bank net purchased 700 million kroner in the market to defend its peg with the euro. Hyldgaard noted that history indicates the central bank will respond to the need for expanded intervention, with the scale of intervention potentially around 50 billion kroner. The Danish Bank expects the central bank to set a short-term euro cap at 7.4758 kroner. Data from the London Stock Exchange Group showed the euro was flat against the Danish krone at 7.4746 kroner, after previously reaching an 11-year high of 7.4759 kroner on June 25.

On July 6, according to the Cyberspace Administration, the 'Clear and Bright: Rectifying AI Application Chaos' initiative has been underway since April 2026. The Central Cyberspace Administration has focused on issues such as failure to comply with large model registration obligations, insufficient security and review capabilities of AI platforms, AI data poisoning, and inadequate implementation of synthetic content identification. Local cyberspace departments have been tasked with advancing the key rectification efforts of the first phase and have established a 'Reporting Zone for AI Application Chaos' to specifically handle public complaints. Through collaborative efforts, over 14,000 non-compliant websites, applications, and AI products have been addressed in the first phase, over 6 million pieces of illegal information have been cleared, more than 26,000 accounts have been dealt with, and over 1,300 non-compliant AI products and 9 non-compliant open-source datasets have been removed, achieving positive progress in all areas.

On July 6, according to the Cyberspace Administration, the 'Clear and Bright: Rectifying AI Application Chaos' initiative has been underway since April 2026. The Central Cyberspace Administration has focused on issues such as failure to comply with large model registration obligations, insufficient security and review capabilities of AI platforms, AI data poisoning, and inadequate implementation of synthetic content identification. Local cyberspace departments have been tasked with advancing the key rectification efforts of the first phase and have established a 'Reporting Zone for AI Application Chaos' to specifically handle public complaints. Through collaborative efforts, over 14,000 non-compliant websites, applications, and AI products have been addressed in the first phase, over 6 million pieces of illegal information have been cleared, more than 26,000 accounts have been dealt with, and over 1,300 non-compliant AI products and 9 non-compliant open-source datasets have been removed, achieving positive progress in all areas.

According to DeFiLlama data, as of July 6, Huobi HTX has achieved a net capital inflow of over $11 million in the past 24 hours, ranking second among mainstream centralized exchanges (CEX) globally. It is reported that Huobi HTX has been continuously promoting product innovation and brand operations, recently launching a TradFi U.S. stock section and rolling out a series of business activities around the World Cup, further boosting user activity and capital inflow on the platform.

According to DeFiLlama data, as of July 6, Huobi HTX has achieved a net capital inflow of over $11 million in the past 24 hours, ranking second among mainstream centralized exchanges (CEX) globally. It is reported that Huobi HTX has been continuously promoting product innovation and brand operations, recently launching a TradFi U.S. stock section and rolling out a series of business activities around the World Cup, further boosting user activity and capital inflow on the platform.

On July 6, it was announced that the International Conference on Machine Learning (ICML) 2026 was held in Seoul, South Korea, where the annual award-winning papers were revealed. The paper by Tsinghua University's Huang Gao team in collaboration with Alibaba, titled 'The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models,' won the Outstanding Paper Award. The research reveals that the flexibility of arbitrary generation order in diffusion language models limits the model's potential in general reasoning tasks such as mathematics and programming. By abandoning arbitrary order and adopting the traditional left-to-right generation, the method not only becomes simpler but also significantly improves reasoning accuracy. Another Outstanding Paper Award was given to researchers from MIT and Yale University for their study proposing a high-accuracy sampling algorithm for diffusion models (High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions), achieving exponential optimization in the number of steps (or sampling complexity) required to reach the target sampling accuracy. Additionally, a position paper titled 'Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit,' co-authored by researchers from Ludwig Maximilian University of Munich and independent researchers, highlighted the dual-use risks of current AI alignment technologies, which can easily be manipulated into tools for information censorship. The Time-Tested Award was presented to the Google DeepMind team for their classic reinforcement learning algorithm 'Asynchronous Methods for Deep Reinforcement Learning,' published in 2016. This research introduced the asynchronous advantage actor-critic (A3C) architecture, significantly enhancing the training efficiency of deep reinforcement learning and marking the beginning of an era where intelligent agents can be efficiently trained using standard multi-core CPUs.

On July 6, it was announced that the International Conference on Machine Learning (ICML) 2026 was held in Seoul, South Korea, where the annual award-winning papers were revealed. The paper by Tsinghua University's Huang Gao team in collaboration with Alibaba, titled 'The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models,' won the Outstanding Paper Award. The research reveals that the flexibility of arbitrary generation order in diffusion language models limits the model's potential in general reasoning tasks such as mathematics and programming. By abandoning arbitrary order and adopting the traditional left-to-right generation, the method not only becomes simpler but also significantly improves reasoning accuracy. Another Outstanding Paper Award was given to researchers from MIT and Yale University for their study proposing a high-accuracy sampling algorithm for diffusion models (High-Accuracy Sampling for Diffusion Models and Log-Concave Distributions), achieving exponential optimization in the number of steps (or sampling complexity) required to reach the target sampling accuracy. Additionally, a position paper titled 'Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit,' co-authored by researchers from Ludwig Maximilian University of Munich and independent researchers, highlighted the dual-use risks of current AI alignment technologies, which can easily be manipulated into tools for information censorship. The Time-Tested Award was presented to the Google DeepMind team for their classic reinforcement learning algorithm 'Asynchronous Methods for Deep Reinforcement Learning,' published in 2016. This research introduced the asynchronous advantage actor-critic (A3C) architecture, significantly enhancing the training efficiency of deep reinforcement learning and marking the beginning of an era where intelligent agents can be efficiently trained using standard multi-core CPUs.

On July 6, a comparison between U.S. stocks and South Korean tech stocks reveals a distinct 'leverage ETF dominance' structure among leading South Korean semiconductor firms such as SK Hynix and Samsung Electronics. The total asset scale of related single-stock ETFs and associated products has multiplied several times compared to the average daily trading volume of the underlying stocks. In contrast, U.S. tech stocks like Micron Technology, Tesla, and Nvidia primarily engage in spot trading, with ETF sizes significantly lower than their average daily trading volumes. Data shows (as of June 29, 2026): the total assets of SK Hynix's single-stock ETFs and related products reached $19.04 billion, while its average daily trading volume was only $4.47 billion; for Samsung Electronics, the corresponding figures were $12.43 billion and $4.49 billion. In comparison, Micron Technology's ETF size was $9.88 billion against an average daily trading volume of $27.47 billion; Tesla's was $5.95 billion to $23.56 billion; and Nvidia's was $5.57 billion to $28.75 billion—demonstrating a structure opposite to that of South Korean stocks. Due to the lack of individual stock options in the Korean market and a high proportion of retail investors, leveraged funds are highly concentrated in ETF products, causing stock prices to be more driven by passive rebalancing actions. When the market declines, ETFs are forced to sell, but with insufficient market absorption capacity, this easily amplifies price fluctuations, creating a unique 'amplifier mechanism' in the South Korean semiconductor market.

On July 6, a comparison between U.S. stocks and South Korean tech stocks reveals a distinct 'leverage ETF dominance' structure among leading South Korean semiconductor firms such as SK Hynix and Samsung Electronics. The total asset scale of related single-stock ETFs and associated products has multiplied several times compared to the average daily trading volume of the underlying stocks. In contrast, U.S. tech stocks like Micron Technology, Tesla, and Nvidia primarily engage in spot trading, with ETF sizes significantly lower than their average daily trading volumes. Data shows (as of June 29, 2026): the total assets of SK Hynix's single-stock ETFs and related products reached $19.04 billion, while its average daily trading volume was only $4.47 billion; for Samsung Electronics, the corresponding figures were $12.43 billion and $4.49 billion. In comparison, Micron Technology's ETF size was $9.88 billion against an average daily trading volume of $27.47 billion; Tesla's was $5.95 billion to $23.56 billion; and Nvidia's was $5.57 billion to $28.75 billion—demonstrating a structure opposite to that of South Korean stocks. Due to the lack of individual stock options in the Korean market and a high proportion of retail investors, leveraged funds are highly concentrated in ETF products, causing stock prices to be more driven by passive rebalancing actions. When the market declines, ETFs are forced to sell, but with insufficient market absorption capacity, this easily amplifies price fluctuations, creating a unique 'amplifier mechanism' in the South Korean semiconductor market.