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On June 3, Sensor Tower estimated that ChatGPT, developed by OpenAI, has surpassed 1 billion monthly active users globally, making it the fastest application to reach this milestone. According to Sensor Tower, ChatGPT achieved 1 billion monthly active users in May, approximately three years after its launch, surpassing the previous growth records of Google Maps, TikTok, Instagram, and YouTube.

[ChatGPT Surpasses 1 Billion Monthly Active Users Worldwide]On June 3, Sensor Tower estimated that ChatGPT, developed by OpenAI, has surpassed 1 billion monthly active users globally, making it the fastest application to reach this milestone. According to Sensor Tower, ChatGPT achieved 1 billion monthly active users in May, approximately three years after its launch, surpassing the previous growth records of Google Maps, TikTok, Instagram, and YouTube.

ChatGPT Surpasses 1 Billion Monthly Active Users Worldwide

On June 3, on-chain analyst Yu Jin reported that as ETH dropped to around $1,870, the largest ETH long position on Hyperliquid, which was established at an average price of $2,261 with 120,000 ETH (valued at approximately $271 million), has now seen its unrealized loss expand to about $47 million. Data shows that the liquidation price range for this position is between $1,617 and $1,355. The most recent liquidation price is only about $250 away from the current price, and continued market declines may further increase its liquidation risk.

[Hyperliquid's Largest ETH Long Position Faces $47 Million Unrealized Loss]On June 3, on-chain analyst Yu Jin reported that as ETH dropped to around $1,870, the largest ETH long position on Hyperliquid, which was established at an average price of $2,261 with 120,000 ETH (valued at approximately $271 million), has now seen its unrealized loss expand to about $47 million. Data shows that the liquidation price range for this position is between $1,617 and $1,355. The most recent liquidation price is only about $250 away from the current price, and continued market declines may further increase its liquidation risk.

Hyperliquid's Largest ETH Long Position Faces $47 Million Unrealized Loss

On June 3, according to HTX market data, Bitcoin has risen above $67,000, with the 24-hour decline narrowing to 5.84%.

[Bitcoin Rises Above $67,000]On June 3, according to HTX market data, Bitcoin has risen above $67,000, with the 24-hour decline narrowing to 5.84%.

Bitcoin Rises Above $67,000

On June 3, the Nikkei 225 index surpassed 68,000 points for the first time, with a daily gain expanding to nearly 2%. (Jin Shi)

[Nikkei 225 Index Surpasses 68,000 Points for the First Time, Daily Gain Expands to Nearly 2%]On June 3, the Nikkei 225 index surpassed 68,000 points for the first time, with a daily gain expanding to nearly 2%. (Jin Shi)

Nikkei 225 Index Surpasses 68,000 Points for the First Time, Daily Gain Expands to Nearly 2%

On June 3, the US Central Command announced that US forces shot down multiple Iranian ballistic missiles and drones, and conducted a defensive strike on a military control station on Iran's Qeshm Island. The US stated that the missiles fired by Iran towards Kuwait and Bahrain did not hit their targets, with some intercepted by US and local air defense systems. The Iranian Revolutionary Guard claimed that it used missiles and drones to attack the US Fifth Fleet headquarters, regional air bases, and helicopter facilities in response to previous US attacks on communication facilities in southern Qeshm Island and Iranian tankers near the Strait of Hormuz. As the conflict continues into its third month, neither side has managed to transform the fragile ceasefire into a long-term peace agreement. Iranian media reported that Tehran is evaluating a ceasefire proposal put forth by the Trump administration, but recent communication between the two sides has been limited; Trump stated that US-Iran negotiations are still ongoing. Meanwhile, Kuwait and Bahrain have issued security alerts in response to the escalating missile and drone threats.

[US-Iran Military Actions Escalate, Ceasefire Agreement Under Pressure, Peace Talks Stalled]On June 3, the US Central Command announced that US forces shot down multiple Iranian ballistic missiles and drones, and conducted a defensive strike on a military control station on Iran's Qeshm Island. The US stated that the missiles fired by Iran towards Kuwait and Bahrain did not hit their targets, with some intercepted by US and local air defense systems. The Iranian Revolutionary Guard claimed that it used missiles and drones to attack the US Fifth Fleet headquarters, regional air bases, and helicopter facilities in response to previous US attacks on communication facilities in southern Qeshm Island and Iranian tankers near the Strait of Hormuz. As the conflict continues into its third month, neither side has managed to transform the fragile ceasefire into a long-term peace agreement. Iranian media reported that Tehran is evaluating a ceasefire proposal put forth by the Trump administration, but recent communication between the two sides has been limited; Trump stated that US-Iran negotiations are still ongoing. Meanwhile, Kuwait and Bahrain have issued security alerts in response to the escalating missile and drone threats.

US-Iran Military Actions Escalate, Ceasefire Agreement Under Pressure, Peace Talks Stalled

According to monitoring by Beating, Mustafa Suleyman, head of Microsoft AI (MAI), announced the launch of a new self-developed family of MAI native models at the Build 2026 developer conference. This series includes seven models covering inference, programming, image processing, transcription, and speech, all trained from scratch by Microsoft without using any third-party models for knowledge distillation, and all datasets have been obtained with compliant authorization. Microsoft stated its commitment to building 'Humanist Superintelligence' to ensure that cutting-edge AI serves as a tool for humans under human supervision. Additionally, Microsoft's GB200 computing cluster has been fully deployed to drive the continuous iteration of this model ecosystem. The flagship inference model of the MAI family, MAI-Thinking-1, features 35 billion active parameters, employs a mixture of experts (MoE) architecture, and provides a 128K context window. In mainstream software engineering and mathematical reasoning assessments such as SWE-bench Pro, this model achieved performance comparable to Claude Opus 4.6 and outperformed Claude Sonnet 4.6 in blind human evaluations. For programming scenarios, MAI introduced the MAI-Code-1-Flash, an agent programming model with 5 billion parameters, which will be deeply integrated into GitHub Copilot and VS Code, offering performance on par with Claude Haiku at a lower inference cost. In the multimodal domain, MAI-Image-2.5 and its Flash variant support high-precision text-to-image generation and image editing, with image quality scores surpassing Nano Banana Pro. For speech and transcription, MAI launched the MAI-Transcribe-1.5, a state-of-the-art transcription model for 43 languages with five times the speed of competitors, as well as the MAI-Voice-2 and its Flash variant, which supports 15 languages and features emotion control and zero-shot cloning. These models will not only be deployed on Azure AI Foundry but will also be available on OpenRouter, Fireworks, and Baseten, with developers being able to fine-tune weights for the first time. Microsoft also revealed a 1.4 times improvement in computational efficiency achieved through joint software-hardware optimization with its self-developed chip Maia 200. In addition to the basic model releases, Microsoft launched the 'Frontier Tuning' service based on a Reinforcement Learning Environment (RLE). This service allows enterprises to customize train MAI models using their internal operational trajectories, decision sequences, and specialized data in a fully controlled isolated environment ('training gym'). Tests indicate that custom models after Frontier Tuning significantly improve efficiency, with the MAI model optimized for Excel aligning with GPT-5.4 while being ten times more efficient. Furthermore, a custom MAI model for McKinsey achieved the highest win rate while reducing costs by nearly ten times. Additionally, Microsoft announced a strategic partnership with the Mayo Clinic, a leading global medical institution, to jointly develop a clinical reasoning large model based on Mayo's clinical data and Microsoft's AI foundation. This model will be owned by the Mayo Clinic and will first be deployed internally for early diagnosis and treatment planning, before being made available to other medical institutions through Azure AI Foundry.

[Microsoft AI Launches First Inference Model MAI-Thinking-1 and Six New Native Models, Introduces Private Reinforcement Learning 'Frontier Tuning' Service]According to monitoring by Beating, Mustafa Suleyman, head of Microsoft AI (MAI), announced the launch of a new self-developed family of MAI native models at the Build 2026 developer conference. This series includes seven models covering inference, programming, image processing, transcription, and speech, all trained from scratch by Microsoft without using any third-party models for knowledge distillation, and all datasets have been obtained with compliant authorization. Microsoft stated its commitment to building 'Humanist Superintelligence' to ensure that cutting-edge AI serves as a tool for humans under human supervision. Additionally, Microsoft's GB200 computing cluster has been fully deployed to drive the continuous iteration of this model ecosystem. The flagship inference model of the MAI family, MAI-Thinking-1, features 35 billion active parameters, employs a mixture of experts (MoE) architecture, and provides a 128K context window. In mainstream software engineering and mathematical reasoning assessments such as SWE-bench Pro, this model achieved performance comparable to Claude Opus 4.6 and outperformed Claude Sonnet 4.6 in blind human evaluations. For programming scenarios, MAI introduced the MAI-Code-1-Flash, an agent programming model with 5 billion parameters, which will be deeply integrated into GitHub Copilot and VS Code, offering performance on par with Claude Haiku at a lower inference cost. In the multimodal domain, MAI-Image-2.5 and its Flash variant support high-precision text-to-image generation and image editing, with image quality scores surpassing Nano Banana Pro. For speech and transcription, MAI launched the MAI-Transcribe-1.5, a state-of-the-art transcription model for 43 languages with five times the speed of competitors, as well as the MAI-Voice-2 and its Flash variant, which supports 15 languages and features emotion control and zero-shot cloning. These models will not only be deployed on Azure AI Foundry but will also be available on OpenRouter, Fireworks, and Baseten, with developers being able to fine-tune weights for the first time. Microsoft also revealed a 1.4 times improvement in computational efficiency achieved through joint software-hardware optimization with its self-developed chip Maia 200. In addition to the basic model releases, Microsoft launched the 'Frontier Tuning' service based on a Reinforcement Learning Environment (RLE). This service allows enterprises to customize train MAI models using their internal operational trajectories, decision sequences, and specialized data in a fully controlled isolated environment ('training gym'). Tests indicate that custom models after Frontier Tuning significantly improve efficiency, with the MAI model optimized for Excel aligning with GPT-5.4 while being ten times more efficient. Furthermore, a custom MAI model for McKinsey achieved the highest win rate while reducing costs by nearly ten times. Additionally, Microsoft announced a strategic partnership with the Mayo Clinic, a leading global medical institution, to jointly develop a clinical reasoning large model based on Mayo's clinical data and Microsoft's AI foundation. This model will be owned by the Mayo Clinic and will first be deployed internally for early diagnosis and treatment planning, before being made available to other medical institutions through Azure AI Foundry.

Microsoft AI Launches First Inference Model MAI-Thinking-1 and Six New Native Models, Introduces Private Reinforcement Learning 'Frontier Tuning' Service

On June 3, as Israel continues to escalate military actions against Hezbollah in Lebanon, the differences between the United States and Israel regarding the resolution of the conflict are becoming increasingly apparent, putting pressure on US-Iran negotiations. Trump has previously stated that an agreement is close and has pushed for a broader ceasefire, but Israeli Prime Minister Netanyahu emphasized that the Israeli military will continue its operations in southern Lebanon. Iran has incorporated the situation in Lebanon into its negotiation considerations and has temporarily announced a suspension of indirect talks with the United States. Meanwhile, the US military has launched strikes on Iran's Qeshm Island, and Kuwait and Bahrain have faced missile and drone attacks, further escalating regional tensions. According to media reports, the atmosphere of a recent phone call between Trump and Netanyahu was tense, with clear disagreements over ceasefire arrangements. Analysts believe that Iran is trying to exploit the rift between the US and Israel to weaken US diplomatic efforts, while key issues such as shipping in the Strait of Hormuz, Iran's frozen assets, and regional security arrangements remain unresolved.

[US-Israel Disagreements Worsen as Israel Escalates Actions Against Lebanon, Pressuring US-Iran Negotiations]On June 3, as Israel continues to escalate military actions against Hezbollah in Lebanon, the differences between the United States and Israel regarding the resolution of the conflict are becoming increasingly apparent, putting pressure on US-Iran negotiations. Trump has previously stated that an agreement is close and has pushed for a broader ceasefire, but Israeli Prime Minister Netanyahu emphasized that the Israeli military will continue its operations in southern Lebanon. Iran has incorporated the situation in Lebanon into its negotiation considerations and has temporarily announced a suspension of indirect talks with the United States. Meanwhile, the US military has launched strikes on Iran's Qeshm Island, and Kuwait and Bahrain have faced missile and drone attacks, further escalating regional tensions. According to media reports, the atmosphere of a recent phone call between Trump and Netanyahu was tense, with clear disagreements over ceasefire arrangements. Analysts believe that Iran is trying to exploit the rift between the US and Israel to weaken US diplomatic efforts, while key issues such as shipping in the Strait of Hormuz, Iran's frozen assets, and regional security arrangements remain unresolved.

US-Israel Disagreements Worsen as Israel Escalates Actions Against Lebanon, Pressuring US-Iran Negotiations

On June 3, U.S. Secretary of State Rubio stated during a congressional hearing that the Trump administration would not lift sanctions on Iran as a bargaining chip for the resumption of shipping in the Strait of Hormuz. He emphasized that any easing of sanctions must be contingent on Iran abandoning its nuclear program, noting that the core reason for U.S. sanctions against Iran is its high-enriched uranium enrichment and related nuclear activities. As the conflict with Iran enters its fourth month, bipartisan members of Congress continue to question the government's war strategy and the path to ending the conflict. Rubio indicated that Iran has attempted to bolster its conventional military capabilities to provide cover for its nuclear program, which is one of the key reasons the Trump administration decided to take military action. He also revealed that there are signs indicating that Iran's Supreme Leader Mojtaba Khamenei is increasingly involved in the negotiation process.

[US Secretary of State Takes Firm Stance: No Lifting of Sanctions on Iran for Resumption of Shipping in the Strait of Hormuz]On June 3, U.S. Secretary of State Rubio stated during a congressional hearing that the Trump administration would not lift sanctions on Iran as a bargaining chip for the resumption of shipping in the Strait of Hormuz. He emphasized that any easing of sanctions must be contingent on Iran abandoning its nuclear program, noting that the core reason for U.S. sanctions against Iran is its high-enriched uranium enrichment and related nuclear activities. As the conflict with Iran enters its fourth month, bipartisan members of Congress continue to question the government's war strategy and the path to ending the conflict. Rubio indicated that Iran has attempted to bolster its conventional military capabilities to provide cover for its nuclear program, which is one of the key reasons the Trump administration decided to take military action. He also revealed that there are signs indicating that Iran's Supreme Leader Mojtaba Khamenei is increasingly involved in the negotiation process.

US Secretary of State Takes Firm Stance: No Lifting of Sanctions on Iran for Resumption of Shipping in the Strait of Hormuz

On June 3, according to Onchain Lens monitoring, in the past 8 hours, an address known as the 'ShapeShift Mysterious Whale' spent $12.78 million to purchase 6,688 ETH. Currently, this whale holds a total of 149,286 ETH, valued at approximately $277.6 million, and may continue to increase its ETH holdings.

[ShapeShift Mysterious Whale Increases Holdings by 6,688 ETH, Total Holdings Rise to 149,286 ETH]On June 3, according to Onchain Lens monitoring, in the past 8 hours, an address known as the 'ShapeShift Mysterious Whale' spent $12.78 million to purchase 6,688 ETH. Currently, this whale holds a total of 149,286 ETH, valued at approximately $277.6 million, and may continue to increase its ETH holdings.

ShapeShift Mysterious Whale Increases Holdings by 6,688 ETH, Total Holdings Rise to 149,286 ETH

HTX data monitoring shows that BTC has fallen below 70,000 USDT, currently reported at 69,936.51 USDT, with a 24H decline of 4.28%.

【BTC falls below 70000 USDT】HTX data monitoring shows that BTC has fallen below 70,000 USDT, currently reported at 69,936.51 USDT, with a 24H decline of 4.28%.

BTC falls below 70000 USDT

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Article

Strategy's First Sale Triggers Panic as Bitcoin Falls Below $70,000 Key Psychological Barrier

BTC falls below 70000 USDT

Disclaimer：Il contenuto di cui sopra non rappresenta le posizioni di HTX.，HTX non fornisce alcuna raccomandazione di trading.。

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