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On April 2, The Bitcoin Historian reported that Blockstream (BSTR) CEO Adam Back revealed in an interview with CNBC that he plans to purchase $1.5 billion worth of Bitcoin in the coming weeks, which is approximately 21,000 BTC.

[Blockstream CEO: $1.5 Billion Bitcoin Purchase Planned in Coming Weeks, Approximately 21,000 BTC]On April 2, The Bitcoin Historian reported that Blockstream (BSTR) CEO Adam Back revealed in an interview with CNBC that he plans to purchase $1.5 billion worth of Bitcoin in the coming weeks, which is approximately 21,000 BTC.

Blockstream CEO: $1.5 Billion Bitcoin Purchase Planned in Coming Weeks, Approximately 21,000 BTC

On April 2, Perena founder Anna posted on the X platform stating that their USD, USD-J, and USD*-P products were not affected by the Drift incident. However, the JLP vault managed by Trade Neutral was impacted due to its operation on the Drift protocol vault. The team will communicate promptly after receiving updates from partners.

[Perena Founder: JLP Vault Affected by Drift Attack, Main Products Unharmed]On April 2, Perena founder Anna posted on the X platform stating that their USD, USD-J, and USD*-P products were not affected by the Drift incident. However, the JLP vault managed by Trade Neutral was impacted due to its operation on the Drift protocol vault. The team will communicate promptly after receiving updates from partners.

Perena Founder: JLP Vault Affected by Drift Attack, Main Products Unharmed

On April 2, Meteora announced on platform X that its funds are secure, and all functionalities and vaults have not interacted with the Drift protocol. Additionally, the treasury has not been deployed to Drift or its integrated vaults.

[Meteora: Platform Funds Secure, Unaffected by Drift Incident]On April 2, Meteora announced on platform X that its funds are secure, and all functionalities and vaults have not interacted with the Drift protocol. Additionally, the treasury has not been deployed to Drift or its integrated vaults.

Meteora: Platform Funds Secure, Unaffected by Drift Incident

On April 2, influenced by Trump's strong speech, Bitcoin led the cryptocurrency market into another correction. According to HTX market information, as of the time of publication, Bitcoin has fallen below $67,000, currently reported at $66,819.76, with a 24-hour decline of 3.01%. Additionally, data from Coinglass shows that in the past 4 hours, the entire network experienced liquidations totaling $138 million, with long positions liquidated amounting to $116 million.

[Trump's Speech Erases Two Days of Bitcoin Gains, Market Revisits $67,000 Range]On April 2, influenced by Trump's strong speech, Bitcoin led the cryptocurrency market into another correction. According to HTX market information, as of the time of publication, Bitcoin has fallen below $67,000, currently reported at $66,819.76, with a 24-hour decline of 3.01%. Additionally, data from Coinglass shows that in the past 4 hours, the entire network experienced liquidations totaling $138 million, with long positions liquidated amounting to $116 million.

Trump's Speech Erases Two Days of Bitcoin Gains, Market Revisits $67,000 Range

On April 2, Anna, the founder of the stablecoin infrastructure Perena, tweeted that its Perena USD*, USD*-J, and USD*-P were not affected by the Drift attack incident. However, the JLP vault managed by the Solana ecosystem quantitative strategy sharing platform Neutral Trade was impacted due to its operation on the Drift Protocol. The team is maintaining communication with partners and will continue to provide updates on the situation.

[Perena Founder: JLP Vault Affected by Drift Attack, Main Products Unharmed]On April 2, Anna, the founder of the stablecoin infrastructure Perena, tweeted that its Perena USD*, USD*-J, and USD*-P were not affected by the Drift attack incident. However, the JLP vault managed by the Solana ecosystem quantitative strategy sharing platform Neutral Trade was impacted due to its operation on the Drift Protocol. The team is maintaining communication with partners and will continue to provide updates on the situation.

On April 2, according to Iran's Tasnim News Agency, Iranian officials stated that Trump's intention tonight is to legitimize war and alleviate deep concerns among the American public. However, the overwhelming negative response to Trump's speech has completely undermined his goals. Currently, aside from members of the White House (who have no choice but to do so), no one believes that Trump has succeeded! Trump's failure to achieve the objectives of his speech mirrors his failures in achieving military goals. The market has thoroughly seen through Trump's tactics and has responded negatively.

[Iran: Market Sees Through Trump's Tactics and Responds Negatively]On April 2, according to Iran's Tasnim News Agency, Iranian officials stated that Trump's intention tonight is to legitimize war and alleviate deep concerns among the American public. However, the overwhelming negative response to Trump's speech has completely undermined his goals. Currently, aside from members of the White House (who have no choice but to do so), no one believes that Trump has succeeded! Trump's failure to achieve the objectives of his speech mirrors his failures in achieving military goals. The market has thoroughly seen through Trump's tactics and has responded negatively.

Iran: Market Sees Through Trump's Tactics and Responds Negatively

According to 1M AI News, less than 24 hours after the source code of Claude Code was leaked, a project named Claw Code accumulated over 100,000 stars on GitHub at a record pace, claiming to be the fastest repository in GitHub history to reach this milestone. As of the time of publication, the project has received 124,000 stars and 102,000 forks. Unlike the thousands of repositories that directly copied the leaked source code, Claw Code's approach was to look at the architecture without copying the code, completely re-implementing it from scratch, a process known in engineering and legal terms as 'clean-room implementation.' The project's author, Sigrid Jin, recounted the experience in the README: At 4 AM on March 31, the leak news exploded his phone notifications, and his girlfriend in South Korea worried that 'just having these codes on the computer could pose legal risks.' He made a decision that an engineer under pressure would make: to sit down and rewrite the core functionalities from scratch in Python before dawn and push it to GitHub. The entire process was assisted by the AI coding workflow tool oh-my-codex (OmX) developed by Yeachan Heo. This was key to Claw Code not being taken down by Anthropic under DMCA. Anthropic issued copyright protection notices to 8,100 repositories that directly mirrored the leaked source code, but Claw Code's codebase does not contain a single line of original TypeScript; it was first rewritten in Python and later transitioned to Rust, with 92.9% of the codebase currently in Rust. The project includes 7 Rust crates covering API clients, runtime state management, MCP orchestration, tool execution frameworks, plugin systems, command systems, and interactive CLI. Sigrid Jin is not an unknown developer; The Wall Street Journal reported on March 21 that he is one of the most active heavy users of Claude Code globally, having used 25 billion Claude Code tokens alone last year, and he even flew to San Francisco to attend the one-year anniversary celebration of Claude Code. Previously, the fastest project to reach 100,000 stars on GitHub was reported to be OpenClaw, which took several weeks. Claw Code compressed this time to less than a day, but GitHub does not publish official growth rankings; this record comes from the project's self-description and quotes from several tech media outlets. Notably, the ratio of forks (102,000) to stars (124,000) for this project exceeds 80%, far higher than the normal open-source project level of 10%-20%, indicating that these stars are more driven by the leak event rather than the project's inherent product usage.

[Claw Code: GitHub's Fastest Project Surges to 100,000 Stars in One Day After Claude Code Leak]According to 1M AI News, less than 24 hours after the source code of Claude Code was leaked, a project named Claw Code accumulated over 100,000 stars on GitHub at a record pace, claiming to be the fastest repository in GitHub history to reach this milestone. As of the time of publication, the project has received 124,000 stars and 102,000 forks. Unlike the thousands of repositories that directly copied the leaked source code, Claw Code's approach was to look at the architecture without copying the code, completely re-implementing it from scratch, a process known in engineering and legal terms as 'clean-room implementation.' The project's author, Sigrid Jin, recounted the experience in the README: At 4 AM on March 31, the leak news exploded his phone notifications, and his girlfriend in South Korea worried that 'just having these codes on the computer could pose legal risks.' He made a decision that an engineer under pressure would make: to sit down and rewrite the core functionalities from scratch in Python before dawn and push it to GitHub. The entire process was assisted by the AI coding workflow tool oh-my-codex (OmX) developed by Yeachan Heo. This was key to Claw Code not being taken down by Anthropic under DMCA. Anthropic issued copyright protection notices to 8,100 repositories that directly mirrored the leaked source code, but Claw Code's codebase does not contain a single line of original TypeScript; it was first rewritten in Python and later transitioned to Rust, with 92.9% of the codebase currently in Rust. The project includes 7 Rust crates covering API clients, runtime state management, MCP orchestration, tool execution frameworks, plugin systems, command systems, and interactive CLI. Sigrid Jin is not an unknown developer; The Wall Street Journal reported on March 21 that he is one of the most active heavy users of Claude Code globally, having used 25 billion Claude Code tokens alone last year, and he even flew to San Francisco to attend the one-year anniversary celebration of Claude Code. Previously, the fastest project to reach 100,000 stars on GitHub was reported to be OpenClaw, which took several weeks. Claw Code compressed this time to less than a day, but GitHub does not publish official growth rankings; this record comes from the project's self-description and quotes from several tech media outlets. Notably, the ratio of forks (102,000) to stars (124,000) for this project exceeds 80%, far higher than the normal open-source project level of 10%-20%, indicating that these stars are more driven by the leak event rather than the project's inherent product usage.

Claw Code: GitHub's Fastest Project Surges to 100,000 Stars in One Day After Claude Code Leak

On April 2, Omer Goldberg, founder of the risk advisory firm Chaos Labs, analyzed that the Drift protocol's signature keys hold significant powers and lack delay mechanisms such as time locks. A week prior, Drift migrated to a new multi-signature account, created by one of the signers from the original multi-signature account. This signer did not add themselves to the new account, and the multi-signature mechanism changed to '2/5' (1 old signer + 4 new signers). Additionally, there are community concerns that a member of the Drift core team left last month, raising questions about internal management, key handover, and risk control systems.

[Suspicion Surrounds Drift Theft Incident Amid Executive Changes and Multi-Signature Modifications]On April 2, Omer Goldberg, founder of the risk advisory firm Chaos Labs, analyzed that the Drift protocol's signature keys hold significant powers and lack delay mechanisms such as time locks. A week prior, Drift migrated to a new multi-signature account, created by one of the signers from the original multi-signature account. This signer did not add themselves to the new account, and the multi-signature mechanism changed to '2/5' (1 old signer + 4 new signers). Additionally, there are community concerns that a member of the Drift core team left last month, raising questions about internal management, key handover, and risk control systems.

Suspicion Surrounds Drift Theft Incident Amid Executive Changes and Multi-Signature Modifications

According to 1M AI News, American AI model company Arcee has released Trinity-Large-Thinking, an open-source reasoning model designed for long-duration Agent tasks. The model utilizes a sparse mixture of experts (MoE) architecture, with a total of 400 billion parameters and only 13 billion active parameters, available for download under the Apache 2.0 license on Hugging Face. Unlike its predecessor Trinity-Large-Preview (pure instruction fine-tuning), Trinity-Large-Thinking performs reasoning before answering, showing improvements in multi-round tool invocation, long context coherence, and instruction-following capabilities, with the core design goal of maintaining stable output during long-duration Agent cycles. It scored 91.9 on the Agent capability benchmark PinchBench, ranking second, just behind Opus 4.6's score of 93.3; on the Agent task benchmark Tau2-Airline, it scored 88.0, the highest among all comparison models. However, its performance on general reasoning benchmarks was average: it scored 76.3 on GPQA-D, lower than Kimi-K2.5 (86.9) and Opus 4.6 (89.2); and 83.4 on MMLU-Pro, also ranking last. According to Arcee, the model is "the strongest open-source model outside of China on many dimensions." The Arcee API is priced at $0.90 per million tokens, which Arcee claims is about 96% cheaper than Opus 4.6. The model is also available on the AI model routing platform OpenRouter, where it can be used for free in OpenClaw for the first five days. Since its release at the end of January, the previous Preview has served over 33.7 trillion tokens on OpenRouter, making it the most used open-source model in the U.S. and the fourth globally, with Preview continuing to be offered for free on OpenRouter.

[Arcee Launches Open Source Trinity Large Thinking with 4% Cost of Opus 4.6]According to 1M AI News, American AI model company Arcee has released Trinity-Large-Thinking, an open-source reasoning model designed for long-duration Agent tasks. The model utilizes a sparse mixture of experts (MoE) architecture, with a total of 400 billion parameters and only 13 billion active parameters, available for download under the Apache 2.0 license on Hugging Face. Unlike its predecessor Trinity-Large-Preview (pure instruction fine-tuning), Trinity-Large-Thinking performs reasoning before answering, showing improvements in multi-round tool invocation, long context coherence, and instruction-following capabilities, with the core design goal of maintaining stable output during long-duration Agent cycles. It scored 91.9 on the Agent capability benchmark PinchBench, ranking second, just behind Opus 4.6's score of 93.3; on the Agent task benchmark Tau2-Airline, it scored 88.0, the highest among all comparison models. However, its performance on general reasoning benchmarks was average: it scored 76.3 on GPQA-D, lower than Kimi-K2.5 (86.9) and Opus 4.6 (89.2); and 83.4 on MMLU-Pro, also ranking last. According to Arcee, the model is "the strongest open-source model outside of China on many dimensions." The Arcee API is priced at $0.90 per million tokens, which Arcee claims is about 96% cheaper than Opus 4.6. The model is also available on the AI model routing platform OpenRouter, where it can be used for free in OpenClaw for the first five days. Since its release at the end of January, the previous Preview has served over 33.7 trillion tokens on OpenRouter, making it the most used open-source model in the U.S. and the fourth globally, with Preview continuing to be offered for free on OpenRouter.

Arcee Launches Open Source Trinity Large Thinking with 4% Cost of Opus 4.6

According to CoinDesk, the Swiss financial regulator is extending money-laundering checks for crypto transactions despite significant pushback from the country’s users.
A threshold of 1,000 Swiss francs ($1,000) over which customers will have to prove their identity will now apply to all linked transactions over a month, when crypto is swapped for cash or another anonymous form of money.
“Virtual currencies are often used as a payment instrument for illicit trade, notably in drug trafficking, on the darknet, or for the payment of ransoms after cyberattacks,” a report issued by the Financial Market Supervisory Authority (Finma) said. “The risk of money laundering in the domain of virtual currency is reinforced by potential anonymity and by the speed and cross-border nature of transactions.”

Detail

【Switzerland sticks to tougher ID checks for crypto to cash transactions】According to CoinDesk, the Swiss financial regulator is extending money-laundering checks for crypto transactions despite significant pushback from the country’s users.
A threshold of 1,000 Swiss francs ($1,000) over which customers will have to prove their identity will now apply to all linked transactions over a month, when crypto is swapped for cash or another anonymous form of money.
“Virtual currencies are often used as a payment instrument for illicit trade, notably in drug trafficking, on the darknet, or for the payment of ransoms after cyberattacks,” a report issued by the Financial Market Supervisory Authority (Finma) said. “The risk of money laundering in the domain of virtual currency is reinforced by potential anonymity and by the speed and cross-border nature of transactions.”

Switzerland sticks to tougher ID checks for crypto to cash transactions

Article

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Switzerland sticks to tougher ID checks for crypto to cash transactions

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

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