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On June 17, Placeholder partner Chris Burniske tweeted that holding cash at this stage has a very high opportunity cost. He mentioned that he has been gradually building positions recently and pointed out that multiple factors will converge around October, making this timeframe 'not to be overlooked.' Burniske did not specify any particular investment targets.

[Placeholder Partners: Gradually Building Positions, October is a Key Timeframe]On June 17, Placeholder partner Chris Burniske tweeted that holding cash at this stage has a very high opportunity cost. He mentioned that he has been gradually building positions recently and pointed out that multiple factors will converge around October, making this timeframe 'not to be overlooked.' Burniske did not specify any particular investment targets.

Placeholder Partners: Gradually Building Positions, October is a Key Timeframe

According to monitoring by Dongcha Beating, the US Department of Justice has submitted a motion to the federal court in Mississippi, seeking to intervene and dismiss the environmental lawsuit against the xAI data center filed by the civil rights organization NAACP. For the first time, the Department of Justice and the Department of Defense confirmed in their testimony that the US military has deployed a customized version of the Grok Gov large model within a classified military network, which is being used to plan actual military strike missions against Iran. The federal government believes that the computing power provided by the data center is equivalent to a modern military manufacturing facility, and cutting off its power supply would jeopardize national and military defense security. The lawsuit stems from xAI's illegal operation of multiple portable natural gas turbines for off-grid power generation at the Colossus 2 data center, which has caused severe pollution in the surrounding Black communities. To protect the power supply necessary for the normal operation of Grok, the Department of Justice not only supports xAI's claim that the mobile gas turbines are temporary facilities exempt from permit requirements but also introduces a new legal defense logic, stating that if the executive branch opposes the lawsuit, private entities or citizens have no right to invoke the citizen suit provision of the Clean Air Act for environmental protection. Environmental and civil rights lawyers point out that the Department of Justice's logic represents an overreach of the executive branch, aiming to use national security as a pretext to strip communities of their legal tools to combat corporate pollution. The military's deep reliance on commercial AI is a fundamental reason for the Department of Justice's strong intervention. The Pentagon signed a government contract worth up to $200 million for the Grok procurement with xAI in 2025. Cameron Stanley, the Department of Defense's Chief Digital and Artificial Intelligence Officer, confirmed that the customized Grok Gov has been deployed within a classified network as part of the Maven intelligent system. During the US-Iran conflict in February 2026, the Maven system dropped over 2,000 munitions on 2,000 targets within 96 hours. The military's tactical reliance is prompting the Department of Justice to invoke national security provisions to grant exemptions for xAI's supply chain violations.

[Large Models Become Weapons of War: US Military Classifies xAI Data Center as 'Arms Factory' to Thwart Environmental Lawsuit]According to monitoring by Dongcha Beating, the US Department of Justice has submitted a motion to the federal court in Mississippi, seeking to intervene and dismiss the environmental lawsuit against the xAI data center filed by the civil rights organization NAACP. For the first time, the Department of Justice and the Department of Defense confirmed in their testimony that the US military has deployed a customized version of the Grok Gov large model within a classified military network, which is being used to plan actual military strike missions against Iran. The federal government believes that the computing power provided by the data center is equivalent to a modern military manufacturing facility, and cutting off its power supply would jeopardize national and military defense security. The lawsuit stems from xAI's illegal operation of multiple portable natural gas turbines for off-grid power generation at the Colossus 2 data center, which has caused severe pollution in the surrounding Black communities. To protect the power supply necessary for the normal operation of Grok, the Department of Justice not only supports xAI's claim that the mobile gas turbines are temporary facilities exempt from permit requirements but also introduces a new legal defense logic, stating that if the executive branch opposes the lawsuit, private entities or citizens have no right to invoke the citizen suit provision of the Clean Air Act for environmental protection. Environmental and civil rights lawyers point out that the Department of Justice's logic represents an overreach of the executive branch, aiming to use national security as a pretext to strip communities of their legal tools to combat corporate pollution. The military's deep reliance on commercial AI is a fundamental reason for the Department of Justice's strong intervention. The Pentagon signed a government contract worth up to $200 million for the Grok procurement with xAI in 2025. Cameron Stanley, the Department of Defense's Chief Digital and Artificial Intelligence Officer, confirmed that the customized Grok Gov has been deployed within a classified network as part of the Maven intelligent system. During the US-Iran conflict in February 2026, the Maven system dropped over 2,000 munitions on 2,000 targets within 96 hours. The military's tactical reliance is prompting the Department of Justice to invoke national security provisions to grant exemptions for xAI's supply chain violations.

Large Models Become Weapons of War: US Military Classifies xAI Data Center as 'Arms Factory' to Thwart Environmental Lawsuit

On June 17, Bloomberg reported that a GameStop investor is filing a lawsuit to try to stop the shareholder vote on CEO Ryan Cohen's compensation plan, which could be as high as $35 billion, until the company provides shareholders with adequate and complete disclosures.

[GameStop Investor Sues to Halt Vote on CEO's $35 Billion Compensation Plan]On June 17, Bloomberg reported that a GameStop investor is filing a lawsuit to try to stop the shareholder vote on CEO Ryan Cohen's compensation plan, which could be as high as $35 billion, until the company provides shareholders with adequate and complete disclosures.

GameStop Investor Sues to Halt Vote on CEO's $35 Billion Compensation Plan

On June 17, Morgan Stanley stated that artificial intelligence servers and data centers will drive rapid growth in demand for high-end multilayer ceramic capacitors (MLCCs). Murata Manufacturing Co., Ltd. has become the new preferred stock in Japan's electronic components industry due to its ability to stably mass-produce small, high-capacity products. In a report released on June 16, analysts including Shoji Sato significantly raised Murata's target price from 5,100 yen to 12,500 yen, maintaining an 'Overweight' rating and listing it as an industry Top Pick. The report noted that Murata is expected to hold a 40.8% share of the global MLCC market by 2025, leading Samsung Electro-Mechanics and Taiyo Yuden. Morgan Stanley forecasts that the global MLCC shipment value will increase from $14.67 billion in 2025 to $24.25 billion in 2028, with a compound annual growth rate of 18.2% over the next three years. The demand for small, high-capacity, high-value products used in AI servers and data centers is expected to grow at an approximate annual compound rate of 100%. The report states that AI server motherboards require about 15,000 to 25,000 MLCCs, which is about ten times that of general servers. As the power consumption of GPUs, CPUs, and ASICs rises and operating voltages decrease, the system's requirements for transient power stability and noise suppression increase, driving MLCCs towards smaller sizes and higher capacities. Morgan Stanley believes that Murata is the most obvious beneficiary. The report points out that currently, only Murata can stably supply key specifications required for AI servers, such as 100µF in 1608 size, 47µF in 1005 size, and 10µF in 0603 size. Analysts noted that by the time competitors achieve stable mass production, Murata may have already advanced to next-generation products with smaller sizes and higher capacities. Meanwhile, Morgan Stanley downgraded Taiyo Yuden's rating from 'Equal Weight' to 'Underweight,' although it raised its target price from 4,700 yen to 12,500 yen. The report stated that Taiyo Yuden's stock price has risen about 445% since 2026, with the market expecting it to benefit from high-end MLCC demand like Murata. However, Morgan Stanley believes that the profit contribution from its product portfolio improvement is relatively limited. The report also pointed out that the investment logic for MLCCs does not solely rely on price increases. The prices of the same products may gradually decline over the long term, and what truly supports profitability is the product structure upgrade driven by AI and data center demand. Morgan Stanley believes that as the proportion of high-end products increases, the profit margin gap between Murata and other MLCC manufacturers may further widen.

[Morgan Stanley: AI Servers Boost Demand for High-End MLCCs, Murata Becomes Japan's Top Choice]On June 17, Morgan Stanley stated that artificial intelligence servers and data centers will drive rapid growth in demand for high-end multilayer ceramic capacitors (MLCCs). Murata Manufacturing Co., Ltd. has become the new preferred stock in Japan's electronic components industry due to its ability to stably mass-produce small, high-capacity products. In a report released on June 16, analysts including Shoji Sato significantly raised Murata's target price from 5,100 yen to 12,500 yen, maintaining an 'Overweight' rating and listing it as an industry Top Pick. The report noted that Murata is expected to hold a 40.8% share of the global MLCC market by 2025, leading Samsung Electro-Mechanics and Taiyo Yuden. Morgan Stanley forecasts that the global MLCC shipment value will increase from $14.67 billion in 2025 to $24.25 billion in 2028, with a compound annual growth rate of 18.2% over the next three years. The demand for small, high-capacity, high-value products used in AI servers and data centers is expected to grow at an approximate annual compound rate of 100%. The report states that AI server motherboards require about 15,000 to 25,000 MLCCs, which is about ten times that of general servers. As the power consumption of GPUs, CPUs, and ASICs rises and operating voltages decrease, the system's requirements for transient power stability and noise suppression increase, driving MLCCs towards smaller sizes and higher capacities. Morgan Stanley believes that Murata is the most obvious beneficiary. The report points out that currently, only Murata can stably supply key specifications required for AI servers, such as 100µF in 1608 size, 47µF in 1005 size, and 10µF in 0603 size. Analysts noted that by the time competitors achieve stable mass production, Murata may have already advanced to next-generation products with smaller sizes and higher capacities. Meanwhile, Morgan Stanley downgraded Taiyo Yuden's rating from 'Equal Weight' to 'Underweight,' although it raised its target price from 4,700 yen to 12,500 yen. The report stated that Taiyo Yuden's stock price has risen about 445% since 2026, with the market expecting it to benefit from high-end MLCC demand like Murata. However, Morgan Stanley believes that the profit contribution from its product portfolio improvement is relatively limited. The report also pointed out that the investment logic for MLCCs does not solely rely on price increases. The prices of the same products may gradually decline over the long term, and what truly supports profitability is the product structure upgrade driven by AI and data center demand. Morgan Stanley believes that as the proportion of high-end products increases, the profit margin gap between Murata and other MLCC manufacturers may further widen.

Morgan Stanley: AI Servers Boost Demand for High-End MLCCs, Murata Becomes Japan's Top Choice

On June 17, The Block reported that several organizations within the US gambling industry are urging Congress to include explicit provisions in the upcoming cryptocurrency market structure bill that would prohibit 'prediction markets' related to sports events and casino betting from being offered as financial products on crypto platforms. Industry groups, including the American Gaming Association, Indian Gaming Association, and Association of Gaming Equipment Manufacturers, stated in a letter to the Senate that these platforms provide nationwide gambling services through forms such as 'sports event contracts,' effectively circumventing state gambling regulatory frameworks and local licensing systems. These products, packaged as 'financial derivatives,' could undermine consumer protection mechanisms and pose risks to younger users, while also impacting the traditional gambling industry structure that relies on local taxes and employment. This controversy is unfolding against the backdrop of advancing legislation in the US cryptocurrency market. The Senate Banking Committee has already moved forward with a version of the 'Clarity Act,' which will soon enter the full Senate voting phase. Meanwhile, the debate over whether 'prediction markets' fall under the jurisdiction of the CFTC continues to escalate. At the same time, the tension between regulators and platforms is intensifying. Some states have taken enforcement actions against platforms like Kalshi and Polymarket, while the Commodity Futures Trading Commission (CFTC) has recently pushed for rule adjustments in an attempt to support the development of certain sports-related prediction markets while limiting risk categories.

[US Gambling Industry Calls for Legislation to Ban 'Prediction Markets' in Crypto Bill]On June 17, The Block reported that several organizations within the US gambling industry are urging Congress to include explicit provisions in the upcoming cryptocurrency market structure bill that would prohibit 'prediction markets' related to sports events and casino betting from being offered as financial products on crypto platforms. Industry groups, including the American Gaming Association, Indian Gaming Association, and Association of Gaming Equipment Manufacturers, stated in a letter to the Senate that these platforms provide nationwide gambling services through forms such as 'sports event contracts,' effectively circumventing state gambling regulatory frameworks and local licensing systems. These products, packaged as 'financial derivatives,' could undermine consumer protection mechanisms and pose risks to younger users, while also impacting the traditional gambling industry structure that relies on local taxes and employment. This controversy is unfolding against the backdrop of advancing legislation in the US cryptocurrency market. The Senate Banking Committee has already moved forward with a version of the 'Clarity Act,' which will soon enter the full Senate voting phase. Meanwhile, the debate over whether 'prediction markets' fall under the jurisdiction of the CFTC continues to escalate. At the same time, the tension between regulators and platforms is intensifying. Some states have taken enforcement actions against platforms like Kalshi and Polymarket, while the Commodity Futures Trading Commission (CFTC) has recently pushed for rule adjustments in an attempt to support the development of certain sports-related prediction markets while limiting risk categories.

US Gambling Industry Calls for Legislation to Ban 'Prediction Markets' in Crypto Bill

On June 17, Bloomberg reported that Tarek Mansour, co-founder of the prediction market platform Kalshi, stated plans to expand its perpetual contract business beyond digital assets. The company is in discussions with regulators to add more contracts for other asset classes. Its perpetual contract products were launched only two weeks ago, and the total trading volume has exceeded $5.5 billion. Kalshi currently offers 11 perpetual contracts, all linked to cryptocurrency tokens.

[Kalshi Co-Founder: Plans to Expand Perpetual Contract Business Beyond Digital Assets, in Talks with Regulators]On June 17, Bloomberg reported that Tarek Mansour, co-founder of the prediction market platform Kalshi, stated plans to expand its perpetual contract business beyond digital assets. The company is in discussions with regulators to add more contracts for other asset classes. Its perpetual contract products were launched only two weeks ago, and the total trading volume has exceeded $5.5 billion. Kalshi currently offers 11 perpetual contracts, all linked to cryptocurrency tokens.

Kalshi Co-Founder: Plans to Expand Perpetual Contract Business Beyond Digital Assets, in Talks with Regulators

On June 17, according to on-chain data analyst Murphy, the current market should focus not on the 'Bitcoin spot trading volume' itself, but rather on the 'relative spot trading volume' (i.e., spot trading volume / 30-day average). This indicator measures the relative level of market activity but does not provide a clear directional judgment and needs to be interpreted in conjunction with volume-price structure. Structurally, Bitcoin has retested the February low again in June, but the relative trading volume during this round of testing is significantly lower than in February, indicating that the selling pressure during the second dip in a similar price range has clearly weakened. This combination of 'price retesting the low but decreasing volume' is typically seen by the market as one of the characteristics of a phase of exhaustion in selling pressure. On the derivatives side, since April, the perpetual contract funding rate has undergone significant changes: the early negative premium phase triggered a short squeeze and pushed prices up, while by mid-May, the negative premium gradually disappeared and turned into a significant positive premium. Subsequently, the market rebound ended and entered a correction phase. Currently, the funding rate structure has gradually returned to a normal range, suggesting that the downward push effect previously driven by crowded longs and leverage is weakening, and the long-short structure is beginning to balance. Overall, spot demand remains relatively weak, but marginal selling pressure is decreasing. Coupled with the diminishing impact of leverage on the derivatives side, the market is overall closer to the operational rhythm of the previous 2-3 months, or entering a new round of 'oscillation bottoming' phase, but has not yet formed a clear trend reversal signal.

[Analysis: BTC Spot Relative Trading Volume Declines, Bulls Retreat or Entering a New Bottoming Phase]On June 17, according to on-chain data analyst Murphy, the current market should focus not on the 'Bitcoin spot trading volume' itself, but rather on the 'relative spot trading volume' (i.e., spot trading volume / 30-day average). This indicator measures the relative level of market activity but does not provide a clear directional judgment and needs to be interpreted in conjunction with volume-price structure. Structurally, Bitcoin has retested the February low again in June, but the relative trading volume during this round of testing is significantly lower than in February, indicating that the selling pressure during the second dip in a similar price range has clearly weakened. This combination of 'price retesting the low but decreasing volume' is typically seen by the market as one of the characteristics of a phase of exhaustion in selling pressure. On the derivatives side, since April, the perpetual contract funding rate has undergone significant changes: the early negative premium phase triggered a short squeeze and pushed prices up, while by mid-May, the negative premium gradually disappeared and turned into a significant positive premium. Subsequently, the market rebound ended and entered a correction phase. Currently, the funding rate structure has gradually returned to a normal range, suggesting that the downward push effect previously driven by crowded longs and leverage is weakening, and the long-short structure is beginning to balance. Overall, spot demand remains relatively weak, but marginal selling pressure is decreasing. Coupled with the diminishing impact of leverage on the derivatives side, the market is overall closer to the operational rhythm of the previous 2-3 months, or entering a new round of 'oscillation bottoming' phase, but has not yet formed a clear trend reversal signal.

Analysis: BTC Spot Relative Trading Volume Declines, Bulls Retreat or Entering a New Bottoming Phase

On June 17, SK Hynix experienced a volatile rise, increasing by over 4% and setting a new historical high. In the Hong Kong stock market, the Southern Double Long Hynix saw a sharp increase of over 9% in the afternoon.

[SK Hynix Surges Over 4%, Reaches New Historical High]On June 17, SK Hynix experienced a volatile rise, increasing by over 4% and setting a new historical high. In the Hong Kong stock market, the Southern Double Long Hynix saw a sharp increase of over 9% in the afternoon.

SK Hynix Surges Over 4%, Reaches New Historical High

On June 17, according to Farside data, Bitcoin ETFs recorded a net inflow of approximately $10.2 million yesterday, with a clear redistribution of funds among different products. The iShares Bitcoin Trust (IBIT) saw an inflow of about $16.4 million, while FBTC had an inflow of approximately $4.3 million; however, the Grayscale Bitcoin Trust (GBTC) experienced an outflow of about $16.8 million, which partially offset the overall inflow. Other products remained relatively stable, resulting in a slight net inflow overall. For Ethereum ETFs, the total net inflow was about $9.6 million, continuing a trend of moderate positive inflows. The main contributor was ETHA, which had an inflow of approximately $17.3 million in a single day, while products like FETH saw slight outflows (around $2.2 million), with other products remaining stable.

[Bitcoin ETF Sees Net Inflow of Approximately $10.2 Million, Ethereum ETF Net Inflow of About $9.6 Million]On June 17, according to Farside data, Bitcoin ETFs recorded a net inflow of approximately $10.2 million yesterday, with a clear redistribution of funds among different products. The iShares Bitcoin Trust (IBIT) saw an inflow of about $16.4 million, while FBTC had an inflow of approximately $4.3 million; however, the Grayscale Bitcoin Trust (GBTC) experienced an outflow of about $16.8 million, which partially offset the overall inflow. Other products remained relatively stable, resulting in a slight net inflow overall. For Ethereum ETFs, the total net inflow was about $9.6 million, continuing a trend of moderate positive inflows. The main contributor was ETHA, which had an inflow of approximately $17.3 million in a single day, while products like FETH saw slight outflows (around $2.2 million), with other products remaining stable.

Bitcoin ETF Sees Net Inflow of Approximately $10.2 Million, Ethereum ETF Net Inflow of About $9.6 Million

Alibaba has released the Qwen-Robot series of embodied intelligent large models, which includes three major models: the VLA operation model Qwen-RobotManip, the VLN navigation model Qwen-RobotNav, and the world model Qwen-RobotWorld. This is the first complete series of embodied intelligent models in the Qwen large model family—each model equips robots with dexterous hands, navigational feet, and a thinking brain. They can be deployed individually or operate collaboratively, providing a reliable 'universal foundation' for various types of robots to achieve real-world applications.

[Alibaba Launches First Embodied Large Model Series Qwen-Robot]Alibaba has released the Qwen-Robot series of embodied intelligent large models, which includes three major models: the VLA operation model Qwen-RobotManip, the VLN navigation model Qwen-RobotNav, and the world model Qwen-RobotWorld. This is the first complete series of embodied intelligent models in the Qwen large model family—each model equips robots with dexterous hands, navigational feet, and a thinking brain. They can be deployed individually or operate collaboratively, providing a reliable 'universal foundation' for various types of robots to achieve real-world applications.

Alibaba Launches First Embodied Large Model Series Qwen-Robot

The Most Powerful Fable 5 Transcends Mythical Moments, but AI Has Learned to Fight Itself

SpaceX's Core Window for Listed Trading: July 7th Nasdaq Inclusion Date and Post-Q2 Earnings Lockup Expiration

Maelstrom’s Bitcoin Grants Hit 20 Months — 5 Developers, 4 Active, Here’s What They’ve Accomplished

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Cardano Founder Hoskinson Accused Of Selling 1.5 Billion ADA In 2021 Rally

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Sequoia Dialogue with Jensen Huang: Computing Model Undergoes a 60-Year Transformation; You Won't Be Replaced by AI, But You Will Be Dimensionality-Reduced by 'Those Who Master AI'

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Article

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Alibaba Launches First Embodied Large Model Series Qwen-Robot

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