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On April 2, the Solana-based lending protocol Loopscale tweeted that it has no direct association with Drift, and that most of its product funds are secure, including the USDC Genesis and USDC OnRe vaults. However, approximately $170,000 in deposits from the SOL Genesis vault are allocated to MarginFi, with a small portion potentially having indirect exposure through Project0 borrowers using Drift positions as collateral. In the event of any losses, the official team will fully compensate affected users. Additionally, the deposit and withdrawal functions for the SOL Genesis, JitoSOL ONE, and wETH ONE vaults have been temporarily disabled and will be reopened once MarginFi resumes normal operations.

[Loopscale: Some Deposits in SOL Genesis Vault May Have Indirect Exposure to Drift]On April 2, the Solana-based lending protocol Loopscale tweeted that it has no direct association with Drift, and that most of its product funds are secure, including the USDC Genesis and USDC OnRe vaults. However, approximately $170,000 in deposits from the SOL Genesis vault are allocated to MarginFi, with a small portion potentially having indirect exposure through Project0 borrowers using Drift positions as collateral. In the event of any losses, the official team will fully compensate affected users. Additionally, the deposit and withdrawal functions for the SOL Genesis, JitoSOL ONE, and wETH ONE vaults have been temporarily disabled and will be reopened once MarginFi resumes normal operations.

Loopscale: Some Deposits in SOL Genesis Vault May Have Indirect Exposure to Drift

On April 2, Coingtelegraph reported that AI and crypto company Genius Group disclosed on Tuesday that it has sold all of its remaining Bitcoin holdings in the first quarter to repay debts. The company stated that it plans to rebuild its Bitcoin inventory when market conditions are more favorable. This move contradicts its "Bitcoin-first" strategy announced in November 2024, when the company committed to holding over 90% of its current and future reserves in Bitcoin. As of March 2026, Genius Group held 84 BTC, valued at approximately $5.7 million, with its holdings declining since April 2025, when a U.S. court temporarily prohibited it from expanding its Bitcoin inventory. The company reported strong performance in the first quarter, with revenue increasing 171% year-over-year to $3.3 million, gross profit rising 228% to $2 million, and net profit turning from a loss of $500,000 in the first quarter of 2025 to a profit of $2.7 million. In 2026, several companies have reduced their Bitcoin holdings. MARA Holdings sold 15,133 BTC in March, cashing out approximately $1.1 billion to repurchase convertible bonds; Bitdeer liquidated all 943 BTC holdings in February; Cango Inc. sold 4,451 BTC; and GD Culture Group confirmed the authorization to sell part of its inventory. In contrast, Michael Saylor's Strategy has accumulated 89,581 BTC this year, valued at approximately $6.1 billion.

[Genius Group Liquidates Entire Bitcoin Holdings to Repay $8.5 Million Debt]On April 2, Coingtelegraph reported that AI and crypto company Genius Group disclosed on Tuesday that it has sold all of its remaining Bitcoin holdings in the first quarter to repay debts. The company stated that it plans to rebuild its Bitcoin inventory when market conditions are more favorable. This move contradicts its "Bitcoin-first" strategy announced in November 2024, when the company committed to holding over 90% of its current and future reserves in Bitcoin. As of March 2026, Genius Group held 84 BTC, valued at approximately $5.7 million, with its holdings declining since April 2025, when a U.S. court temporarily prohibited it from expanding its Bitcoin inventory. The company reported strong performance in the first quarter, with revenue increasing 171% year-over-year to $3.3 million, gross profit rising 228% to $2 million, and net profit turning from a loss of $500,000 in the first quarter of 2025 to a profit of $2.7 million. In 2026, several companies have reduced their Bitcoin holdings. MARA Holdings sold 15,133 BTC in March, cashing out approximately $1.1 billion to repurchase convertible bonds; Bitdeer liquidated all 943 BTC holdings in February; Cango Inc. sold 4,451 BTC; and GD Culture Group confirmed the authorization to sell part of its inventory. In contrast, Michael Saylor's Strategy has accumulated 89,581 BTC this year, valued at approximately $6.1 billion.

Genius Group Liquidates Entire Bitcoin Holdings to Repay $8.5 Million Debt

On April 2, Paidun issued a clarification stating that HyperEVM has not experienced a network outage. The current issue is strictly limited to the frontend of the block explorer, where failures in syncing/displaying new blocks have prevented users from viewing data normally. Previously, the community and some monitoring tools detected anomalies in interactions at the HyperEVM level, leading to speculation about a 'network failure.'

[Paidun: HyperEVM Not Down, Frontend Sync Issues with Block Explorer]On April 2, Paidun issued a clarification stating that HyperEVM has not experienced a network outage. The current issue is strictly limited to the frontend of the block explorer, where failures in syncing/displaying new blocks have prevented users from viewing data normally. Previously, the community and some monitoring tools detected anomalies in interactions at the HyperEVM level, leading to speculation about a 'network failure.'

Paidun: HyperEVM Not Down, Frontend Sync Issues with Block Explorer

According to 1M AI News, OpenAI co-founder Greg Brockman was asked in an interview whether he agrees with Nvidia CEO Jensen Huang's statement that "AGI has already been achieved." He provided an uncertain response: "By my personal definition, I would say I'm about 70-80% there." He believes AGI will be realized in a few years, at which point "almost all intellectual tasks, everything you can do on a computer, AI will be able to do," but the process will still be "jagged." Currently, AI has surpassed humans in many tasks, such as coding, but still struggles with some "very basic tasks that humans can easily accomplish." He illustrated the complexity of his feelings with a personal comparison: "If you showed me today's system five years ago, I would say 'Oh yes, that's what we were talking about.' But it is different from what any of us imagined." The next concrete milestone towards AGI is the planned launch of an "automated AI researcher" this fall. When pressed about what it would specifically do, Brockman said: "It will take all the work that a research scientist does from start to finish and put it onto silicon." He compared this system to managing a junior researcher: it cannot be left unattended for too long, or it will go in unproductive directions, but having senior researchers provide feedback, review charts, and guide the direction is sufficient. He defined the current stage as "the early phase of takeoff": the stronger the AI, the more it can accelerate its own improvement, creating a positive feedback loop; the external supply chain is also accelerating, with chip developers investing more resources, and the developer economy around AI continuously expanding, all energies are converging. He also disclosed an internal cultural detail: after the release of ChatGPT, he felt a sense of "we won" at the company's holiday party, which he described as the most frightening moment for him at OpenAI. "No, we are challengers, we always have been." He believes that the emergence of competitors is "very healthy for OpenAI," as it has helped the company realign its direction.

["If you showed me today's system five years ago, I would say that's AGI": OpenAI co-founder assesses progress at 70-80%, plans to launch AI researcher this fall]According to 1M AI News, OpenAI co-founder Greg Brockman was asked in an interview whether he agrees with Nvidia CEO Jensen Huang's statement that "AGI has already been achieved." He provided an uncertain response: "By my personal definition, I would say I'm about 70-80% there." He believes AGI will be realized in a few years, at which point "almost all intellectual tasks, everything you can do on a computer, AI will be able to do," but the process will still be "jagged." Currently, AI has surpassed humans in many tasks, such as coding, but still struggles with some "very basic tasks that humans can easily accomplish." He illustrated the complexity of his feelings with a personal comparison: "If you showed me today's system five years ago, I would say 'Oh yes, that's what we were talking about.' But it is different from what any of us imagined." The next concrete milestone towards AGI is the planned launch of an "automated AI researcher" this fall. When pressed about what it would specifically do, Brockman said: "It will take all the work that a research scientist does from start to finish and put it onto silicon." He compared this system to managing a junior researcher: it cannot be left unattended for too long, or it will go in unproductive directions, but having senior researchers provide feedback, review charts, and guide the direction is sufficient. He defined the current stage as "the early phase of takeoff": the stronger the AI, the more it can accelerate its own improvement, creating a positive feedback loop; the external supply chain is also accelerating, with chip developers investing more resources, and the developer economy around AI continuously expanding, all energies are converging. He also disclosed an internal cultural detail: after the release of ChatGPT, he felt a sense of "we won" at the company's holiday party, which he described as the most frightening moment for him at OpenAI. "No, we are challengers, we always have been." He believes that the emergence of competitors is "very healthy for OpenAI," as it has helped the company realign its direction.

"If you showed me today's system five years ago, I would say that's AGI": OpenAI co-founder assesses progress at 70-80%, plans to launch AI researcher this fall

On April 2, according to monitoring by HyperInsight, as Ethereum fell to the 'Maji' liquidation price (approximately $2049.15), the latter significantly reduced its holdings once again. Two hours prior, during a rapid market decline triggered by Trump's speech, 'Maji' was still buying on the dips. As of the time of this report, 'Maji' has reduced its 25x Ethereum long positions to 7,200 units.

[Ethereum Drops to 'Maji' Liquidation Price, Significant Reduction in Holdings]On April 2, according to monitoring by HyperInsight, as Ethereum fell to the 'Maji' liquidation price (approximately $2049.15), the latter significantly reduced its holdings once again. Two hours prior, during a rapid market decline triggered by Trump's speech, 'Maji' was still buying on the dips. As of the time of this report, 'Maji' has reduced its 25x Ethereum long positions to 7,200 units.

Ethereum Drops to 'Maji' Liquidation Price, Significant Reduction in Holdings

On April 2, Senate Democratic Leader Chuck Schumer sharply criticized President Trump's nationwide address on Iran's military actions delivered on April 1, describing it as "disorganized and illogical." He stated that Trump failed to clearly outline the objectives of the military actions against Iran, alienated allies, and ignored the everyday issues faced by the American public. Schumer wrote on social media, "Is there a more disorganized, illogical, and sadly delivered presidential war speech than this? Donald Trump's actions in Iran will be seen as one of the most significant policy failures in American history."

[Senate Democratic Leader Criticizes Trump's Speech]On April 2, Senate Democratic Leader Chuck Schumer sharply criticized President Trump's nationwide address on Iran's military actions delivered on April 1, describing it as "disorganized and illogical." He stated that Trump failed to clearly outline the objectives of the military actions against Iran, alienated allies, and ignored the everyday issues faced by the American public. Schumer wrote on social media, "Is there a more disorganized, illogical, and sadly delivered presidential war speech than this? Donald Trump's actions in Iran will be seen as one of the most significant policy failures in American history."

Senate Democratic Leader Criticizes Trump's Speech

On April 2, the Drift protocol vulnerability incident has impacted multiple DeFi protocols. Reflect Money, Ranger Finance, Neutral Trade, Elemental DeFi, Project 0, Lulo Finance, Asgard Finance, DeFi Carrot, Pyra, xPlace, and Fuse Wallet have confirmed they are affected, with some protocols suspending minting, redemption, or deposit functions. Ranger Finance confirmed a risk exposure of approximately $900,000, accounting for about 6% of its total locked value of $14.6 million. Pyra stated that user funds were affected due to being deposited in Drift for yield, and has suspended the Pyra Card function. Asgard Finance indicated that the risk exposure related to Drift is not significant, has disabled that credit source, and contacted affected users. Fuse Wallet has suspended deposits to Drift for its Earn product, but the wallet itself is unaffected. DeFi Carrot has paused minting and redemption functions, while its Boost and Turbo products remain unaffected. xPlace has suspended deposits and withdrawals for its Savings product, and temporarily disabled its credit model and lending functions. Protocols such as Elemental DeFi and Project 0 have stated that related fund allocations have been paused, awaiting Drift's recovery. Lulo Finance warned that Classic deposit users may be affected, while its Protected and Boosted products have no risk exposure.

[11 DeFi Protocols Affected by Drift Security Incident, Some Suspend Core Functions Awaiting Recovery]On April 2, the Drift protocol vulnerability incident has impacted multiple DeFi protocols. Reflect Money, Ranger Finance, Neutral Trade, Elemental DeFi, Project 0, Lulo Finance, Asgard Finance, DeFi Carrot, Pyra, xPlace, and Fuse Wallet have confirmed they are affected, with some protocols suspending minting, redemption, or deposit functions. Ranger Finance confirmed a risk exposure of approximately $900,000, accounting for about 6% of its total locked value of $14.6 million. Pyra stated that user funds were affected due to being deposited in Drift for yield, and has suspended the Pyra Card function. Asgard Finance indicated that the risk exposure related to Drift is not significant, has disabled that credit source, and contacted affected users. Fuse Wallet has suspended deposits to Drift for its Earn product, but the wallet itself is unaffected. DeFi Carrot has paused minting and redemption functions, while its Boost and Turbo products remain unaffected. xPlace has suspended deposits and withdrawals for its Savings product, and temporarily disabled its credit model and lending functions. Protocols such as Elemental DeFi and Project 0 have stated that related fund allocations have been paused, awaiting Drift's recovery. Lulo Finance warned that Classic deposit users may be affected, while its Protected and Boosted products have no risk exposure.

11 DeFi Protocols Affected by Drift Security Incident, Some Suspend Core Functions Awaiting Recovery

According to monitoring by 1M AI News, OpenAI co-founder Greg Brockman reflected on the leap in AI programming capabilities expected by December 2025 during an interview. He used a test prompt he had kept for years to measure progress: asking the AI to build a website that took him months to complete when he was learning programming. Throughout 2025, this task required multiple prompts and about four hours to accomplish; by December, it could be completed with a single prompt and with high quality. He stated that the new model allowed AI to jump from 'being able to complete about 20% of tasks' to 'about 80%', a shift that forces everyone to 'reorganize workflows around AI.' Regarding the allocation of the $110 billion in funding, Brockman likened computing power to 'hiring salespeople': as long as the product has a scalable sales channel, hiring more salespeople can generate more revenue. Computing power is not a cost center but a revenue center. He recalled a conversation with his team on the eve of ChatGPT's release: 'They asked, 'How much computing power should we buy?' I said, 'All of it.' They replied, 'No, no, no, seriously, how much should we buy?' I said, 'No matter how we build, we won't keep up with demand.' This judgment still holds true today, and computing power procurement needs to be locked in 18 to 24 months in advance. On how to utilize this computing power, Brockman revealed that OpenAI is no longer solely pursuing the largest scale of pre-training but is instead jointly optimizing pre-training capabilities and inference costs: 'You don't necessarily have to make it as large as possible, because you also need to consider the numerous downstream inference use cases; what you really want is the optimal solution of intelligence multiplied by cost.' However, he firmly opposed the notion that 'pre-training is no longer important,' believing that the smarter the foundational model, the higher the efficiency of subsequent reinforcement learning and inference stages, and that there is still an 'absolute need' for Nvidia GPUs to support large-scale centralized training.

[OpenAI Co-Founder Claims $110 Billion Still Can't Meet Demand, Pre-Training Shifts to Cost Joint Optimization]According to monitoring by 1M AI News, OpenAI co-founder Greg Brockman reflected on the leap in AI programming capabilities expected by December 2025 during an interview. He used a test prompt he had kept for years to measure progress: asking the AI to build a website that took him months to complete when he was learning programming. Throughout 2025, this task required multiple prompts and about four hours to accomplish; by December, it could be completed with a single prompt and with high quality. He stated that the new model allowed AI to jump from 'being able to complete about 20% of tasks' to 'about 80%', a shift that forces everyone to 'reorganize workflows around AI.' Regarding the allocation of the $110 billion in funding, Brockman likened computing power to 'hiring salespeople': as long as the product has a scalable sales channel, hiring more salespeople can generate more revenue. Computing power is not a cost center but a revenue center. He recalled a conversation with his team on the eve of ChatGPT's release: 'They asked, 'How much computing power should we buy?' I said, 'All of it.' They replied, 'No, no, no, seriously, how much should we buy?' I said, 'No matter how we build, we won't keep up with demand.' This judgment still holds true today, and computing power procurement needs to be locked in 18 to 24 months in advance. On how to utilize this computing power, Brockman revealed that OpenAI is no longer solely pursuing the largest scale of pre-training but is instead jointly optimizing pre-training capabilities and inference costs: 'You don't necessarily have to make it as large as possible, because you also need to consider the numerous downstream inference use cases; what you really want is the optimal solution of intelligence multiplied by cost.' However, he firmly opposed the notion that 'pre-training is no longer important,' believing that the smarter the foundational model, the higher the efficiency of subsequent reinforcement learning and inference stages, and that there is still an 'absolute need' for Nvidia GPUs to support large-scale centralized training.

OpenAI Co-Founder Claims $110 Billion Still Can't Meet Demand, Pre-Training Shifts to Cost Joint Optimization

According to monitoring by 1M AI News, OpenAI co-founder Greg Brockman discussed the new generation pre-trained foundational model codenamed Spud from a technical perspective for the first time in an interview. He described Spud as 'the culmination of about two years of research,' serving as the foundation for all subsequent capability enhancements at OpenAI. He explained the model production process: first, a foundational model is produced through pre-training, followed by reinforcement learning to practice problem-solving in various scenarios, and finally, post-training fine-tuning in terms of behavior and usability. His primary focus over the past 18 months has been on expanding GPU infrastructure and training frameworks. Regarding Spud's capabilities, Brockman provided qualitative rather than quantitative expectations: the model will be able to solve more difficult problems, understand instructions more accurately, grasp context more deeply, and reduce the 'big model smell.' He cited an engineer he closely collaborated with as an example: between GPT-5.2 and GPT-5.3, this engineer transitioned from 'completely unable to use AI for foundational systems engineering' to 'giving it a design document, and it can implement functionality, add monitoring metrics and observability, run performance analyzers and optimize, producing exactly what he wanted.' The interviewer referenced a previous statement by Anthropic CEO Dario Amodei: 'Some players are gambling (yoloing), pulling the risks too high, and I am very concerned,' mentioning that Amodei stated that if predictions are slightly off, the company could go bankrupt. Brockman directly responded: 'I disagree. We have always been very thoughtful and have a clear view of the trends that are coming.' He believes that OpenAI was one of the first companies to recognize the computational power bottleneck, while others 'probably only realized this at the end of last year and started scrambling for computing power, but it was already too late to buy.' Regarding bankruptcy risks, he stated, 'In reality, there are more exit ramps,' and attributed this gamble to a judgment about the entire industry rather than a single company: 'Do you believe this technology can produce and deliver the kind of immense value we are seeing?'

[OpenAI Co-Founder Discusses Spud Model, Responds to Dario's 'High-Stakes' Criticism]According to monitoring by 1M AI News, OpenAI co-founder Greg Brockman discussed the new generation pre-trained foundational model codenamed Spud from a technical perspective for the first time in an interview. He described Spud as 'the culmination of about two years of research,' serving as the foundation for all subsequent capability enhancements at OpenAI. He explained the model production process: first, a foundational model is produced through pre-training, followed by reinforcement learning to practice problem-solving in various scenarios, and finally, post-training fine-tuning in terms of behavior and usability. His primary focus over the past 18 months has been on expanding GPU infrastructure and training frameworks. Regarding Spud's capabilities, Brockman provided qualitative rather than quantitative expectations: the model will be able to solve more difficult problems, understand instructions more accurately, grasp context more deeply, and reduce the 'big model smell.' He cited an engineer he closely collaborated with as an example: between GPT-5.2 and GPT-5.3, this engineer transitioned from 'completely unable to use AI for foundational systems engineering' to 'giving it a design document, and it can implement functionality, add monitoring metrics and observability, run performance analyzers and optimize, producing exactly what he wanted.' The interviewer referenced a previous statement by Anthropic CEO Dario Amodei: 'Some players are gambling (yoloing), pulling the risks too high, and I am very concerned,' mentioning that Amodei stated that if predictions are slightly off, the company could go bankrupt. Brockman directly responded: 'I disagree. We have always been very thoughtful and have a clear view of the trends that are coming.' He believes that OpenAI was one of the first companies to recognize the computational power bottleneck, while others 'probably only realized this at the end of last year and started scrambling for computing power, but it was already too late to buy.' Regarding bankruptcy risks, he stated, 'In reality, there are more exit ramps,' and attributed this gamble to a judgment about the entire industry rather than a single company: 'Do you believe this technology can produce and deliver the kind of immense value we are seeing?'

OpenAI Co-Founder Discusses Spud Model, Responds to Dario's 'High-Stakes' Criticism

According to the Nikkei, the Bank of Japan has coordinated with the three major banks and other local banks to conduct demonstration trials for the issuance of a "digital yen". The Bank of Japan will work with private sector banks and other institutions starting in spring 2023 to check for any problems with deposits and withdrawals from bank accounts. The Bank of Japan plans to conduct a two-year trial and decide in 2026 whether to issue a digital yen.

Detail

【The Bank of Japan will decide whether to issue a digital yen in 2026】According to the Nikkei, the Bank of Japan has coordinated with the three major banks and other local banks to conduct demonstration trials for the issuance of a "digital yen". The Bank of Japan will work with private sector banks and other institutions starting in spring 2023 to check for any problems with deposits and withdrawals from bank accounts. The Bank of Japan plans to conduct a two-year trial and decide in 2026 whether to issue a digital yen.

The Bank of Japan will decide whether to issue a digital yen in 2026

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The Bank of Japan will decide whether to issue a digital yen in 2026

Clause de non-responsabilité：Le contenu ci-dessus ne représente pas les positions de HTX.，HTX ne fournit pas de recommandations de trading.。

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