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On June 23, BIT Official released a daily chart analysis stating that Bitcoin and the U.S. software sector ETF (IGV), which previously appeared to be decoupled, are now increasingly showing that this is merely a short-covering rebound. The IGV has significantly reversed and declined. Despite the vast differences in the fundamentals of individual stocks in the software sector and Bitcoin, both are driven by the same set of macroeconomic factors. When market liquidity is loose, interest rate cut expectations rise, or risk appetite increases, funds typically first flow into high-volatility growth assets. The price linkage between the two reflects their sensitivity to real interest rates and U.S. dollar liquidity, rather than their own operational fundamentals. The Federal Reserve's shift to a weaker dovish stance since October 2025 may be the core reason for the simultaneous weakening of both markets, and the AI boom is merely a superficial explanation for this correction.

[BIT Official: Recent Correction Driven by Macroeconomic Factors, Not AI]On June 23, BIT Official released a daily chart analysis stating that Bitcoin and the U.S. software sector ETF (IGV), which previously appeared to be decoupled, are now increasingly showing that this is merely a short-covering rebound. The IGV has significantly reversed and declined. Despite the vast differences in the fundamentals of individual stocks in the software sector and Bitcoin, both are driven by the same set of macroeconomic factors. When market liquidity is loose, interest rate cut expectations rise, or risk appetite increases, funds typically first flow into high-volatility growth assets. The price linkage between the two reflects their sensitivity to real interest rates and U.S. dollar liquidity, rather than their own operational fundamentals. The Federal Reserve's shift to a weaker dovish stance since October 2025 may be the core reason for the simultaneous weakening of both markets, and the AI boom is merely a superficial explanation for this correction.

BIT Official: Recent Correction Driven by Macroeconomic Factors, Not AI

On June 23, French Hill, Chairman of the U.S. House Financial Services Committee, announced the schedule for committee hearings in July 2026. The main agenda includes: July 14 (Full Committee Hearing on 'Federal Reserve Semiannual Monetary Policy Report'); July 15 (Full Committee Hearing on 'Consumer Financial Protection Bureau Semiannual Report'); July 17 (Subcommittee on Digital Assets, Financial Technology, and Artificial Intelligence Field Hearing on 'How the CLARITY Act Can Unleash Innovation'); July 21 (Subcommittee on National Security, Illicit Finance, and International Financial Institutions Hearing on 'Oversight of Financial Crime Enforcement Networks'); July 21 (Subcommittee on Housing and Insurance Hearing on 'Oversight of the Federal Home Loan Bank System').

[U.S. House Financial Services Committee: Hearing on the CLARITY Act Scheduled for July 17 in New York]On June 23, French Hill, Chairman of the U.S. House Financial Services Committee, announced the schedule for committee hearings in July 2026. The main agenda includes: July 14 (Full Committee Hearing on 'Federal Reserve Semiannual Monetary Policy Report'); July 15 (Full Committee Hearing on 'Consumer Financial Protection Bureau Semiannual Report'); July 17 (Subcommittee on Digital Assets, Financial Technology, and Artificial Intelligence Field Hearing on 'How the CLARITY Act Can Unleash Innovation'); July 21 (Subcommittee on National Security, Illicit Finance, and International Financial Institutions Hearing on 'Oversight of Financial Crime Enforcement Networks'); July 21 (Subcommittee on Housing and Insurance Hearing on 'Oversight of the Federal Home Loan Bank System').

U.S. House Financial Services Committee: Hearing on the CLARITY Act Scheduled for July 17 in New York

On June 23, Deutsche Bank stated that under different monetary policy paths, gold prices could experience significant divergence. If the Federal Reserve re-enters a rate hike cycle, gold prices may drop to around $3,800 per ounce. However, in the baseline forecast scenario, the bank still expects gold prices to rise to approximately $4,300 per ounce in the third quarter and further increase to around $4,800 in the fourth quarter.

[Deutsche Bank: Gold May Fall to $3,800 if Fed Resumes Rate Hikes]On June 23, Deutsche Bank stated that under different monetary policy paths, gold prices could experience significant divergence. If the Federal Reserve re-enters a rate hike cycle, gold prices may drop to around $3,800 per ounce. However, in the baseline forecast scenario, the bank still expects gold prices to rise to approximately $4,300 per ounce in the third quarter and further increase to around $4,800 in the fourth quarter.

Deutsche Bank: Gold May Fall to $3,800 if Fed Resumes Rate Hikes

According to monitoring by Dongcha Beating, the extreme demand for hardware in global AI data center infrastructure has driven semiconductor prices to surge. In May 2026, China's semiconductor export value skyrocketed by 111% year-on-year, reaching a record $36 billion, while the actual shipment volume of chips only saw a slight increase of 2% during the same period. The doubling of semiconductor export value alongside nearly flat actual shipment volume reveals the true extent of the global shortage of computing power hardware. The prices of high-value chips have surged significantly due to the shortage of AI computing power, directly boosting semiconductor export values. During the same period, exports of computers and components also rose by 66% year-on-year, reaching approximately $27 billion, marking the second highest record in history. Together, chips and computer components contributed to about half of the total growth in China's imports and exports in May. Driven by the strong surge in computing power export values, China's overall exports in May increased by 19% year-on-year, while imports soared by 27%, resulting in a trade surplus of $105.4 billion, the highest level since January 2026.

[Chip Prices Surge Amid AI Infrastructure Shortage: China's Semiconductor Exports Soar 111% in May with Only 2% Volume Increase]According to monitoring by Dongcha Beating, the extreme demand for hardware in global AI data center infrastructure has driven semiconductor prices to surge. In May 2026, China's semiconductor export value skyrocketed by 111% year-on-year, reaching a record $36 billion, while the actual shipment volume of chips only saw a slight increase of 2% during the same period. The doubling of semiconductor export value alongside nearly flat actual shipment volume reveals the true extent of the global shortage of computing power hardware. The prices of high-value chips have surged significantly due to the shortage of AI computing power, directly boosting semiconductor export values. During the same period, exports of computers and components also rose by 66% year-on-year, reaching approximately $27 billion, marking the second highest record in history. Together, chips and computer components contributed to about half of the total growth in China's imports and exports in May. Driven by the strong surge in computing power export values, China's overall exports in May increased by 19% year-on-year, while imports soared by 27%, resulting in a trade surplus of $105.4 billion, the highest level since January 2026.

Chip Prices Surge Amid AI Infrastructure Shortage: China's Semiconductor Exports Soar 111% in May with Only 2% Volume Increase

On June 23, market data showed that U.S. stock futures prices declined, with S&P 500 futures falling by 0.5% and Nasdaq futures dropping by 1.0%.

[S&P 500 Futures Down 0.5%, Nasdaq Futures Down 1%]On June 23, market data showed that U.S. stock futures prices declined, with S&P 500 futures falling by 0.5% and Nasdaq futures dropping by 1.0%.

S&P 500 Futures Down 0.5%, Nasdaq Futures Down 1%

On June 23, Nate Geraci, president of ETFStore, stated that Cboe is considering transforming its Bitcoin and Ethereum continuous futures products into perpetual futures contracts. Geraci pointed out that traditional financial institutions are being compelled to continuously keep up with the pace of product innovation in the crypto-native market, and this trend may just be beginning. Perpetual futures, which were previously popular mainly on crypto trading platforms, are now gradually entering the regulated traditional financial trading system.

[Cboe Plans to Upgrade BTC and ETH Continuous Futures to Perpetual Contracts]On June 23, Nate Geraci, president of ETFStore, stated that Cboe is considering transforming its Bitcoin and Ethereum continuous futures products into perpetual futures contracts. Geraci pointed out that traditional financial institutions are being compelled to continuously keep up with the pace of product innovation in the crypto-native market, and this trend may just be beginning. Perpetual futures, which were previously popular mainly on crypto trading platforms, are now gradually entering the regulated traditional financial trading system.

Cboe Plans to Upgrade BTC and ETH Continuous Futures to Perpetual Contracts

On June 23, according to official news, the distributed AI computing network Darkbloom has officially launched on OpenRouter. Darkbloom aims to promote the development of an open, distributed, and user-driven computing network, allowing any user with a Mac device to participate in providing computing power. The initial models launched include gpt-oss-20b and Gemma426B, with related computing power being made available for free to OpenRouter users. The official announcement also stated that Mac users can now join the Darkbloom network and contribute their idle computing resources.

[Eigen Labs: Distributed AI Computing Network Darkbloom Launched on OpenRouter]On June 23, according to official news, the distributed AI computing network Darkbloom has officially launched on OpenRouter. Darkbloom aims to promote the development of an open, distributed, and user-driven computing network, allowing any user with a Mac device to participate in providing computing power. The initial models launched include gpt-oss-20b and Gemma426B, with related computing power being made available for free to OpenRouter users. The official announcement also stated that Mac users can now join the Darkbloom network and contribute their idle computing resources.

Eigen Labs: Distributed AI Computing Network Darkbloom Launched on OpenRouter

On June 23, Doubao's new video generation model Seedance 2.5 is nearing the end of its internal testing phase and is set to be officially released in early July. The new model features three major core technology upgrades: extended generation duration, allowing single-segment video generation of up to 30 seconds with significantly improved shot continuity; enhanced multi-modal input capabilities, supporting up to 50 multi-modal materials for combined input (claimed to be the highest globally), enabling the simultaneous input of a large number of image assets for arrangement; and improved editing control, offering more flexible and controllable video editing and generation capabilities, aimed at further enhancing creator efficiency and product quality. (Hard AI)

[Seedance 2.5 Video Generation Model to Launch in Early July: Supports 30-Second Videos and 50 Multi-Modal Inputs]On June 23, Doubao's new video generation model Seedance 2.5 is nearing the end of its internal testing phase and is set to be officially released in early July. The new model features three major core technology upgrades: extended generation duration, allowing single-segment video generation of up to 30 seconds with significantly improved shot continuity; enhanced multi-modal input capabilities, supporting up to 50 multi-modal materials for combined input (claimed to be the highest globally), enabling the simultaneous input of a large number of image assets for arrangement; and improved editing control, offering more flexible and controllable video editing and generation capabilities, aimed at further enhancing creator efficiency and product quality. (Hard AI)

Seedance 2.5 Video Generation Model to Launch in Early July: Supports 30-Second Videos and 50 Multi-Modal Inputs

On June 23, market research firm SigmaIntell reported on the 22nd that due to an imbalance in supply and demand for memory, prices of consumer storage products have generally risen in the second quarter of this year. Notably, the price of low-power DRAM products has seen significant increases, with LPDDR4X 4GB prices rising 75% quarter-on-quarter and LPDDR5X 12GB prices rising 89%. This round of price hikes is attributed to the use of LPDDR memory in next-generation server GPU platforms. As AI computing platforms like Nvidia's Vera Rubin adopt related low-power memory, competition for supply has intensified, prompting storage manufacturers to extend price increases to consumer memory used in smartphones and PCs. SigmaIntell noted that some customers have already accepted the price increases, which have been reflected in market prices. The pressure on the supply side comes from the reallocation of production capacity. SigmaIntell stated that in the second quarter, storage manufacturers prioritized high-value products such as HBM, server DRAM, and enterprise SSDs, leading to tighter supply of consumer memory. Due to rising cost pressures, some smartphone and PC brands are adjusting their memory orders, which may mean that the rate of DRAM price increases could slow in the second half of the year. Compared to mid-to-high-end products, demand for memory used in low-end devices is expected to cool more noticeably. Currently, semiconductor wafer resources are continuously concentrating on high-bandwidth memory (HBM), compressing the capacity of consumer DRAM. HBM maintains relatively stable prices through annual customer contracts, but the supply-demand imbalance remains severe. General server DRAM has also seen a trend of industry-wide price increases, with cloud providers continuously replenishing DRAM inventories, keeping channel stock at a low level of about two to three weeks. This has put pressure on the consumer electronics market. The expansion of high-value memory products, limited additional capacity construction, and low inventory levels have continued to create a shortage of consumer DRAM. The NAND market has also continued to rise, with SigmaIntell stating that SSD prices increased by about 50% quarter-on-quarter in the second quarter. Demand for enterprise-level NAND products remains strong, and price fluctuations have not weakened purchasing intentions. The expansion of AI clusters and AI agent servers is driving demand for high-performance, large-capacity storage devices. Price pressures are also spreading to mobile and PC NAND, with UFS prices rising by as much as 100% due to the expansion of enterprise SSD demand squeezing supply, while the supply of low-capacity eMMC and other low-end NAND has decreased, tightening the supply-demand balance for consumer NAND as well. Overall, the expansion of AI infrastructure is changing the price transmission path in the storage industry. What was previously focused on the scarcity of HBM and server DRAM is now being transmitted to the mobile, PC, and consumer storage markets through capacity allocation and wafer resource squeezing. For terminal brands, rising costs of memory and flash storage may become important variables affecting profit margins and product pricing in the second half of the year.

[Agency: Consumer LPDDR5X Prices Surge 89% in Q2, AI Memory Squeeze Spreads to Mobile and PC Markets]On June 23, market research firm SigmaIntell reported on the 22nd that due to an imbalance in supply and demand for memory, prices of consumer storage products have generally risen in the second quarter of this year. Notably, the price of low-power DRAM products has seen significant increases, with LPDDR4X 4GB prices rising 75% quarter-on-quarter and LPDDR5X 12GB prices rising 89%. This round of price hikes is attributed to the use of LPDDR memory in next-generation server GPU platforms. As AI computing platforms like Nvidia's Vera Rubin adopt related low-power memory, competition for supply has intensified, prompting storage manufacturers to extend price increases to consumer memory used in smartphones and PCs. SigmaIntell noted that some customers have already accepted the price increases, which have been reflected in market prices. The pressure on the supply side comes from the reallocation of production capacity. SigmaIntell stated that in the second quarter, storage manufacturers prioritized high-value products such as HBM, server DRAM, and enterprise SSDs, leading to tighter supply of consumer memory. Due to rising cost pressures, some smartphone and PC brands are adjusting their memory orders, which may mean that the rate of DRAM price increases could slow in the second half of the year. Compared to mid-to-high-end products, demand for memory used in low-end devices is expected to cool more noticeably. Currently, semiconductor wafer resources are continuously concentrating on high-bandwidth memory (HBM), compressing the capacity of consumer DRAM. HBM maintains relatively stable prices through annual customer contracts, but the supply-demand imbalance remains severe. General server DRAM has also seen a trend of industry-wide price increases, with cloud providers continuously replenishing DRAM inventories, keeping channel stock at a low level of about two to three weeks. This has put pressure on the consumer electronics market. The expansion of high-value memory products, limited additional capacity construction, and low inventory levels have continued to create a shortage of consumer DRAM. The NAND market has also continued to rise, with SigmaIntell stating that SSD prices increased by about 50% quarter-on-quarter in the second quarter. Demand for enterprise-level NAND products remains strong, and price fluctuations have not weakened purchasing intentions. The expansion of AI clusters and AI agent servers is driving demand for high-performance, large-capacity storage devices. Price pressures are also spreading to mobile and PC NAND, with UFS prices rising by as much as 100% due to the expansion of enterprise SSD demand squeezing supply, while the supply of low-capacity eMMC and other low-end NAND has decreased, tightening the supply-demand balance for consumer NAND as well. Overall, the expansion of AI infrastructure is changing the price transmission path in the storage industry. What was previously focused on the scarcity of HBM and server DRAM is now being transmitted to the mobile, PC, and consumer storage markets through capacity allocation and wafer resource squeezing. For terminal brands, rising costs of memory and flash storage may become important variables affecting profit margins and product pricing in the second half of the year.

Agency: Consumer LPDDR5X Prices Surge 89% in Q2, AI Memory Squeeze Spreads to Mobile and PC Markets

According to monitoring by Beating, renowned AI observer Andrew Curran revealed that Anthropic has completed training a more powerful version of the Mythos model. However, it is still uncertain whether the new model will be named Mythos 5.1 or Mythos 6, and it may be kept internal by Anthropic to accelerate subsequent development. Meanwhile, with the appearance of a model identifier named claude-sonnet-5 on Anthropic's partner service platform, the developer community widely speculates that Sonnet 5 will be officially released next week.

[Anthropic Completes New Mythos Training, Sonnet 5 Release Imminent]According to monitoring by Beating, renowned AI observer Andrew Curran revealed that Anthropic has completed training a more powerful version of the Mythos model. However, it is still uncertain whether the new model will be named Mythos 5.1 or Mythos 6, and it may be kept internal by Anthropic to accelerate subsequent development. Meanwhile, with the appearance of a model identifier named claude-sonnet-5 on Anthropic's partner service platform, the developer community widely speculates that Sonnet 5 will be officially released next week.

Anthropic Completes New Mythos Training, Sonnet 5 Release Imminent

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Anthropic Completes New Mythos Training, Sonnet 5 Release Imminent

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