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On June 5, on-chain analyst Ai Yi (@ai_9684xtpa) reported that a16z-related entities withdrew a total of 224,118 HYPE from various centralized exchanges (CEX) in the past 24 hours, amounting to $15.156 million. The total amount of HYPE accumulated for 2026 has now increased to 6.906 million (valued at $322 million), with an average price of $46.7, resulting in an unrealized profit of $131 million.

[a16z Withdraws $15.156 Million in HYPE Over 24 Hours]On June 5, on-chain analyst Ai Yi (@ai_9684xtpa) reported that a16z-related entities withdrew a total of 224,118 HYPE from various centralized exchanges (CEX) in the past 24 hours, amounting to $15.156 million. The total amount of HYPE accumulated for 2026 has now increased to 6.906 million (valued at $322 million), with an average price of $46.7, resulting in an unrealized profit of $131 million.

a16z Withdraws $15.156 Million in HYPE Over 24 Hours

On June 5, CoinDesk reported that Reza Bundy, CEO of Atlas Capital, stated in an interview that Bitcoin could experience a correction of up to 70% in the next six months, with prices potentially dropping to the range of $26,000 to $30,000. If the stock market sees a significant decline, Bitcoin, as a high-risk asset, will face even larger corrections. In the short term, Bitcoin is no longer an effective inflation hedge but is instead a risk asset highly correlated with tech stocks. However, Bundy remains optimistic about Bitcoin's long-term prospects, predicting that under various macroeconomic scenarios, Bitcoin could ultimately reach between $150,000 and $500,000, with a potential peak of $500,000 in a 'fiscal-led' scenario.

[Atlas Capital CEO: Bitcoin May Plunge 70% in Next 6 Months, Long-Term Target of $150,000 to $500,000]On June 5, CoinDesk reported that Reza Bundy, CEO of Atlas Capital, stated in an interview that Bitcoin could experience a correction of up to 70% in the next six months, with prices potentially dropping to the range of $26,000 to $30,000. If the stock market sees a significant decline, Bitcoin, as a high-risk asset, will face even larger corrections. In the short term, Bitcoin is no longer an effective inflation hedge but is instead a risk asset highly correlated with tech stocks. However, Bundy remains optimistic about Bitcoin's long-term prospects, predicting that under various macroeconomic scenarios, Bitcoin could ultimately reach between $150,000 and $500,000, with a potential peak of $500,000 in a 'fiscal-led' scenario.

Atlas Capital CEO: Bitcoin May Plunge 70% in Next 6 Months, Long-Term Target of $150,000 to $500,000

On June 5th, according to information on its official website, Fidelity confirmed that it has significantly lowered the participation threshold for the SpaceX IPO (stock code SPCX): customers with $2,000 or more in their retail brokerage accounts can now submit subscription intentions. It is reported that Fidelity's special reduction to $2,000 for the SpaceX IPO is primarily because SpaceX plans to allocate up to 30% of its shares to retail investors (far higher than the usual 10% for typical IPOs), resulting in a more ample supply of shares.

[Fidelity Lowers Minimum Account Requirement for SpaceX IPO from $500,000 to $2,000]On June 5th, according to information on its official website, Fidelity confirmed that it has significantly lowered the participation threshold for the SpaceX IPO (stock code SPCX): customers with $2,000 or more in their retail brokerage accounts can now submit subscription intentions. It is reported that Fidelity's special reduction to $2,000 for the SpaceX IPO is primarily because SpaceX plans to allocate up to 30% of its shares to retail investors (far higher than the usual 10% for typical IPOs), resulting in a more ample supply of shares.

Fidelity Lowers Minimum Account Requirement for SpaceX IPO from $500,000 to $2,000

On June 5, CME Group CEO Terry Duffy expressed serious concerns regarding the recently approved perpetual futures contracts in the U.S. He believes that such contracts have limited practical use for institutional investors while potentially exposing retail investors to excessive risk. Duffy stated that he has 'serious concerns' about the design of these contracts and disagrees with the CFTC's approval of the first perpetual contracts linked to cryptocurrency prices. He also noted that perpetual contracts and prediction markets reflect a broader trend of retail speculation, comparing it to the risk behaviors observed before the 2007-2008 financial crisis.

[CME CEO Expresses Serious Concerns Over Newly Approved Perpetual Contracts in the U.S.]On June 5, CME Group CEO Terry Duffy expressed serious concerns regarding the recently approved perpetual futures contracts in the U.S. He believes that such contracts have limited practical use for institutional investors while potentially exposing retail investors to excessive risk. Duffy stated that he has 'serious concerns' about the design of these contracts and disagrees with the CFTC's approval of the first perpetual contracts linked to cryptocurrency prices. He also noted that perpetual contracts and prediction markets reflect a broader trend of retail speculation, comparing it to the risk behaviors observed before the 2007-2008 financial crisis.

CME CEO Expresses Serious Concerns Over Newly Approved Perpetual Contracts in the U.S.

On June 5, CME Group CEO Terry Duffy expressed his "serious concerns" regarding the recently approved perpetual futures contracts in the U.S. He believes that such contracts have limited practical use for institutional investors and may expose retail investors to excessive risk. Duffy stated that he has "serious concerns" about the design of these contracts and disagrees with the CFTC's approval of the first perpetual contracts linked to cryptocurrency prices. He also noted that perpetual contracts and prediction markets reflect a broader trend of retail speculation, comparing it to the risk behaviors observed in 2007, just before the 2008 financial crisis.

[CME CEO Expresses Serious Concerns Over Newly Approved Perpetual Contracts in the U.S.]On June 5, CME Group CEO Terry Duffy expressed his "serious concerns" regarding the recently approved perpetual futures contracts in the U.S. He believes that such contracts have limited practical use for institutional investors and may expose retail investors to excessive risk. Duffy stated that he has "serious concerns" about the design of these contracts and disagrees with the CFTC's approval of the first perpetual contracts linked to cryptocurrency prices. He also noted that perpetual contracts and prediction markets reflect a broader trend of retail speculation, comparing it to the risk behaviors observed in 2007, just before the 2008 financial crisis.

On June 5, AAOI rose 10% against the trend yesterday. New stock guru Serenity responded by stating, 'AAOI is one of the stocks we have been accumulating since it was at $28.' The demand for its 800G/1.6T optical transceivers is strong, and if execution is solid, the stock price could potentially double or triple. Furthermore, if the rumors of a potential collaboration with AMD/NVDA are true, supply bottlenecks could lead to an increase in ASP and margin expansion, indicating that the current market model is underpricing this potential.

[New Stock Guru Serenity: Increasing Stake in AAOI Since $28, Potential for Two to Threefold Increase]On June 5, AAOI rose 10% against the trend yesterday. New stock guru Serenity responded by stating, 'AAOI is one of the stocks we have been accumulating since it was at $28.' The demand for its 800G/1.6T optical transceivers is strong, and if execution is solid, the stock price could potentially double or triple. Furthermore, if the rumors of a potential collaboration with AMD/NVDA are true, supply bottlenecks could lead to an increase in ASP and margin expansion, indicating that the current market model is underpricing this potential.

New Stock Guru Serenity: Increasing Stake in AAOI Since $28, Potential for Two to Threefold Increase

According to monitoring by Dongcha Beating, the capability of AI for autonomous iteration is exceeding everyone's expectations. The Anthropic Institute released a report titled "When AI Builds Itself" on June 5, detailing its research and development progress in "recursive self-improvement." Data indicates that by May 2026, over 80% of the code merged into Anthropic's main codebase was written by Claude itself, compared to only single-digit percentages before the release of Claude Code in February 2025. Tang Jie, founder of Zhizhu AI, predicted on May 12 that the ultimate goal of large models is self-evolution, and that Claude may have already established a baseline for self-training by "writing code, cleaning data, and training itself." However, Anthropic clarified in the report that fully autonomous design and development of successors through recursive self-improvement has not yet been achieved. The role of AI in the development chain is transitioning from partial efficiency enhancement to autonomous decision-making. In the second quarter of 2026, the average daily code merged by Anthropic engineers reached eight times that of 2024. The current development process is straightforward: engineers are responsible for planning objectives and reviewing, while Claude handles the actual writing and execution. Anthropic has also deployed Claude as an automatic code reviewer to intercept bugs and security vulnerabilities. This indicates that the "self-assessment" pillar pointed out by Tang Jie has been implemented on the engineering side, but human review remains the final safety valve. The reliability of the model in independently executing long-term tasks has also doubled. The duration for which the model can continuously operate autonomously approximately doubles every four months. In March 2024, Claude 3 Opus could only handle simple tasks for 4 minutes. A year later, Claude 3.7 Sonnet could manage 1.5 hours. By March 2026, Claude 4.6 Opus was capable of tackling complex tasks for 12 hours. Data from evaluation agency METR shows that the latest preview of Claude Mythos can operate autonomously for over 16 hours, nearing the current limits of evaluation tools. At the current pace, by 2027, AI will be able to autonomously complete research tasks that typically require weeks of human work, helping companies transition from "one-person companies" to "无人公司" (无人公司 translates to '无人公司' in Chinese, meaning '无人公司'). As for Tang Jie's speculation about the "self-training baseline," the report reveals a partial "miniature experimental closed loop." In experiments aimed at accelerating small model training code, Claude 4 Opus in May 2025 could only achieve a 3-fold speed increase, while the preview of Claude Mythos in April 2026 achieved a 52-fold acceleration. In contrast, top human researchers typically achieve a 4-fold increase within 4 to 8 hours. However, the optimization goals and success metrics of the experiments are set in advance by humans. When faced with the more complex end-to-end process of "cleaning data, generating synthetic data, and self-training," AI still lacks decision-making capabilities. The autonomous closed loop of the R&D chain is pushing humanity to the brink of losing ultimate system control. Tang Jie predicts that "LLM OS will replace traditional architectures, and applications will be generated on demand in real-time," implying that future computer operations will involve dynamic code that cannot be reviewed in advance; while Anthropic warns that "human review cannot keep up with AI self-evolution," indicating that we will be unable to oversee even the source of generated code. Once AI begins to autonomously design and train successors, the evolution of software will become a complete black box. Allowing AI to self-iterate in a black box system without human auditing will make subsequent safety isolation, monitoring, and behavior alignment of the self-improvement system extremely challenging.

[Anthropic Report Addresses AI Self-Evolution: Partial Closed Loop Achieved, But Full Autonomous Training Still Distant]According to monitoring by Dongcha Beating, the capability of AI for autonomous iteration is exceeding everyone's expectations. The Anthropic Institute released a report titled "When AI Builds Itself" on June 5, detailing its research and development progress in "recursive self-improvement." Data indicates that by May 2026, over 80% of the code merged into Anthropic's main codebase was written by Claude itself, compared to only single-digit percentages before the release of Claude Code in February 2025. Tang Jie, founder of Zhizhu AI, predicted on May 12 that the ultimate goal of large models is self-evolution, and that Claude may have already established a baseline for self-training by "writing code, cleaning data, and training itself." However, Anthropic clarified in the report that fully autonomous design and development of successors through recursive self-improvement has not yet been achieved. The role of AI in the development chain is transitioning from partial efficiency enhancement to autonomous decision-making. In the second quarter of 2026, the average daily code merged by Anthropic engineers reached eight times that of 2024. The current development process is straightforward: engineers are responsible for planning objectives and reviewing, while Claude handles the actual writing and execution. Anthropic has also deployed Claude as an automatic code reviewer to intercept bugs and security vulnerabilities. This indicates that the "self-assessment" pillar pointed out by Tang Jie has been implemented on the engineering side, but human review remains the final safety valve. The reliability of the model in independently executing long-term tasks has also doubled. The duration for which the model can continuously operate autonomously approximately doubles every four months. In March 2024, Claude 3 Opus could only handle simple tasks for 4 minutes. A year later, Claude 3.7 Sonnet could manage 1.5 hours. By March 2026, Claude 4.6 Opus was capable of tackling complex tasks for 12 hours. Data from evaluation agency METR shows that the latest preview of Claude Mythos can operate autonomously for over 16 hours, nearing the current limits of evaluation tools. At the current pace, by 2027, AI will be able to autonomously complete research tasks that typically require weeks of human work, helping companies transition from "one-person companies" to "无人公司" (无人公司 translates to '无人公司' in Chinese, meaning '无人公司'). As for Tang Jie's speculation about the "self-training baseline," the report reveals a partial "miniature experimental closed loop." In experiments aimed at accelerating small model training code, Claude 4 Opus in May 2025 could only achieve a 3-fold speed increase, while the preview of Claude Mythos in April 2026 achieved a 52-fold acceleration. In contrast, top human researchers typically achieve a 4-fold increase within 4 to 8 hours. However, the optimization goals and success metrics of the experiments are set in advance by humans. When faced with the more complex end-to-end process of "cleaning data, generating synthetic data, and self-training," AI still lacks decision-making capabilities. The autonomous closed loop of the R&D chain is pushing humanity to the brink of losing ultimate system control. Tang Jie predicts that "LLM OS will replace traditional architectures, and applications will be generated on demand in real-time," implying that future computer operations will involve dynamic code that cannot be reviewed in advance; while Anthropic warns that "human review cannot keep up with AI self-evolution," indicating that we will be unable to oversee even the source of generated code. Once AI begins to autonomously design and train successors, the evolution of software will become a complete black box. Allowing AI to self-iterate in a black box system without human auditing will make subsequent safety isolation, monitoring, and behavior alignment of the self-improvement system extremely challenging.

Anthropic Report Addresses AI Self-Evolution: Partial Closed Loop Achieved, But Full Autonomous Training Still Distant

On June 4, Bloomberg reported that a key committee in the U.S. House of Representatives is preparing to introduce a cryptocurrency tax bill as early as this Friday. These bills will cover staking and mining rewards, aiming to align the tax rules for digital assets with those for traditional securities.

[Key House Committee Prepares to Introduce Cryptocurrency Tax Bill as Early as This Friday]On June 4, Bloomberg reported that a key committee in the U.S. House of Representatives is preparing to introduce a cryptocurrency tax bill as early as this Friday. These bills will cover staking and mining rewards, aiming to align the tax rules for digital assets with those for traditional securities.

Key House Committee Prepares to Introduce Cryptocurrency Tax Bill as Early as This Friday

On June 5, Zcash founder Zooko announced that security researcher Taylor Hornby discovered a serious forgery vulnerability in the Zcash Orchard pool on May 29 and disclosed it to the Zcash Open Development Lab (ZODL). ZODL subsequently coordinated an emergency response within the ecosystem, and the repair work was completed by June 2. Shielded Labs stated that the vulnerability is real and exploitable; Taylor wrote an exploit in a local testing environment that could generate unlimited and undetectable forged ZEC. Due to the privacy properties of Orchard, it is not possible to prove whether the vulnerability was exploited before the fix was implemented solely through cryptographic means, but they believe the likelihood of prior exploitation is low. Shielded Labs is exploring a network upgrade proposal to deploy a new shielded pool and implement turnstile accounting for all tokens from the Orchard pool, allowing anyone to verify the integrity of the Zcash supply and prove that there are no forged ZEC in the Orchard pool.

[Zcash Founder Zooko Reveals Details of Serious Forgery Vulnerability in Orchard]On June 5, Zcash founder Zooko announced that security researcher Taylor Hornby discovered a serious forgery vulnerability in the Zcash Orchard pool on May 29 and disclosed it to the Zcash Open Development Lab (ZODL). ZODL subsequently coordinated an emergency response within the ecosystem, and the repair work was completed by June 2. Shielded Labs stated that the vulnerability is real and exploitable; Taylor wrote an exploit in a local testing environment that could generate unlimited and undetectable forged ZEC. Due to the privacy properties of Orchard, it is not possible to prove whether the vulnerability was exploited before the fix was implemented solely through cryptographic means, but they believe the likelihood of prior exploitation is low. Shielded Labs is exploring a network upgrade proposal to deploy a new shielded pool and implement turnstile accounting for all tokens from the Orchard pool, allowing anyone to verify the integrity of the Zcash supply and prove that there are no forged ZEC in the Orchard pool.

Zcash Founder Zooko Reveals Details of Serious Forgery Vulnerability in Orchard

zest Hits New High of 0.266193 USDT, Up 78.91% in 24H

【zest soared to 0.275571 USDT, a new high with a 24-hour increase of 78.91%. It currently trades at 0.266193 USDT on HTX.】zest Hits New High of 0.266193 USDT, Up 78.91% in 24H

zest soared to 0.275571 USDT, a new high with a 24-hour increase of 78.91%. It currently trades at 0.266193 USDT on HTX.

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zest soared to 0.275571 USDT, a new high with a 24-hour increase of 78.91%. It currently trades at 0.266193 USDT on HTX.

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

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