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On April 29, a U.S. Army Special Forces sergeant pleaded not guilty to charges of illegal trading, which allege that he used confidential information about a U.S. operation to capture Venezuelan President Maduro for personal gain. 38-year-old Ken Van Dyke appeared in Manhattan on Tuesday, with U.S. District Judge Margaret Garnett presiding over the case. Prosecutors claim that Van Dyke was involved in planning and executing the operation to capture Maduro and profited $400,000 by betting on the Polymarket website regarding whether the Venezuelan leader would be overthrown. Van Dyke was granted bail set at $250,000. The case has raised concerns about potential insider trading related to a possible war with Iran. The White House has warned its staff against trading on government information, and Polymarket has faced criticism for allowing bets on whether 'U.S. downed pilots can be rescued'.

[US Soldier Denies Insider Trading Charges Related to Maduro's Capture]On April 29, a U.S. Army Special Forces sergeant pleaded not guilty to charges of illegal trading, which allege that he used confidential information about a U.S. operation to capture Venezuelan President Maduro for personal gain. 38-year-old Ken Van Dyke appeared in Manhattan on Tuesday, with U.S. District Judge Margaret Garnett presiding over the case. Prosecutors claim that Van Dyke was involved in planning and executing the operation to capture Maduro and profited $400,000 by betting on the Polymarket website regarding whether the Venezuelan leader would be overthrown. Van Dyke was granted bail set at $250,000. The case has raised concerns about potential insider trading related to a possible war with Iran. The White House has warned its staff against trading on government information, and Polymarket has faced criticism for allowing bets on whether 'U.S. downed pilots can be rescued'.

US Soldier Denies Insider Trading Charges Related to Maduro's Capture

Market data shows that ETH has surpassed $2300, currently priced at $2300.32, with a 24-hour increase of 0.58%. The market is experiencing significant fluctuations, so please ensure proper risk management.

[ETH Surpasses $2300]Market data shows that ETH has surpassed $2300, currently priced at $2300.32, with a 24-hour increase of 0.58%. The market is experiencing significant fluctuations, so please ensure proper risk management.

ETH Surpasses $2300

On April 29, Amazon Web Services announced the launch of a set of tools named Amazon Connect Decisions and Amazon Connect Talent, aimed at logistics workers and recruiters. These products rely on AI agents to take actions on behalf of users, such as conducting automated interviews or creating spreadsheets to predict product demand. These new offerings intensify competition for Amazon against cloud rivals like Microsoft Corp. and Oracle Corp., as well as some of its largest customers, including Salesforce.

[Amazon Launches AI Productivity Software for Office Workers]On April 29, Amazon Web Services announced the launch of a set of tools named Amazon Connect Decisions and Amazon Connect Talent, aimed at logistics workers and recruiters. These products rely on AI agents to take actions on behalf of users, such as conducting automated interviews or creating spreadsheets to predict product demand. These new offerings intensify competition for Amazon against cloud rivals like Microsoft Corp. and Oracle Corp., as well as some of its largest customers, including Salesforce.

Amazon Launches AI Productivity Software for Office Workers

On April 29, OpenAI announced on Tuesday that its latest AI model and Codex programming assistant have now launched on the Amazon Web Services platform. Just a day earlier, the developer of ChatGPT had adjusted its partnership with long-time supporter Microsoft. OpenAI also introduced a service that allows developers to build and deploy advanced AI agents using its cutting-edge models on Amazon Web Services (AWS). 'This is something our customers have been asking for a long time. Their production applications run on AWS, and their data is also on AWS,' said AWS CEO Matt Garman. He noted that customers no longer need to leave AWS to find the AI models they want.

[OpenAI's Codex Launches on Amazon Bedrock Platform]On April 29, OpenAI announced on Tuesday that its latest AI model and Codex programming assistant have now launched on the Amazon Web Services platform. Just a day earlier, the developer of ChatGPT had adjusted its partnership with long-time supporter Microsoft. OpenAI also introduced a service that allows developers to build and deploy advanced AI agents using its cutting-edge models on Amazon Web Services (AWS). 'This is something our customers have been asking for a long time. Their production applications run on AWS, and their data is also on AWS,' said AWS CEO Matt Garman. He noted that customers no longer need to leave AWS to find the AI models they want.

OpenAI's Codex Launches on Amazon Bedrock Platform

On April 29, the United States announced sanctions against 35 Iranian-related entities and individuals, citing their assistance in evading sanctions and providing financial support to Iran. US Treasury Secretary Yellen stated that any institutions involved in or assisting Iran's 'shadow banking' system will face severe consequences.

[US Imposes Sanctions on 35 Iranian Entities and Individuals]On April 29, the United States announced sanctions against 35 Iranian-related entities and individuals, citing their assistance in evading sanctions and providing financial support to Iran. US Treasury Secretary Yellen stated that any institutions involved in or assisting Iran's 'shadow banking' system will face severe consequences.

US Imposes Sanctions on 35 Iranian Entities and Individuals

On April 29, according to U.S. sources, informed individuals disclosed that Iran may submit a revised proposal to the mediation party Pakistan in the coming days, as U.S. President Trump was dissatisfied with the new negotiation plan presented by Iran. Sources familiar with the mediation process stated that Iranian Foreign Minister Zarif would return to Tehran after concluding his visit to Russia on the 28th, and he is expected to report back to the Iranian leadership and engage in consultations. It is reported that Pakistan is expected to receive the revised proposal from Iran within a few days, but the situation could change at any moment, and the final outcome largely depends on whether Iran will propose a plan that is more acceptable to the U.S. Recently, Iran submitted a new negotiation proposal to the U.S. via Pakistan. The proposal suggests a three-phase gradual negotiation process: the first phase focuses on ending the war, the second phase centers on navigation through the Strait of Hormuz, and the third phase involves Iran's nuclear issues.

[Iran May Submit Revised Proposal to Pakistan]On April 29, according to U.S. sources, informed individuals disclosed that Iran may submit a revised proposal to the mediation party Pakistan in the coming days, as U.S. President Trump was dissatisfied with the new negotiation plan presented by Iran. Sources familiar with the mediation process stated that Iranian Foreign Minister Zarif would return to Tehran after concluding his visit to Russia on the 28th, and he is expected to report back to the Iranian leadership and engage in consultations. It is reported that Pakistan is expected to receive the revised proposal from Iran within a few days, but the situation could change at any moment, and the final outcome largely depends on whether Iran will propose a plan that is more acceptable to the U.S. Recently, Iran submitted a new negotiation proposal to the U.S. via Pakistan. The proposal suggests a three-phase gradual negotiation process: the first phase focuses on ending the war, the second phase centers on navigation through the Strait of Hormuz, and the third phase involves Iran's nuclear issues.

Iran May Submit Revised Proposal to Pakistan

On April 29, the judge overseeing the lawsuit between Musk and OpenAI requested that the tech executives involved in this legal battle refrain from excessive social media posts. The day before, the world's richest man criticized the leadership of OpenAI, the owner of ChatGPT, on social media, calling its CEO 'fraudster Altman.' Prior to Tuesday's court hearing, U.S. District Judge I. Rogers urged Musk and his peers at OpenAI to 'manage their social media usage to prevent worsening matters outside the court.' Musk, Altman, and OpenAI President Greg Brockman all stated they would comply.

[Musk and Altman Engage in Heated Exchange as US Judge Urges Restraint]On April 29, the judge overseeing the lawsuit between Musk and OpenAI requested that the tech executives involved in this legal battle refrain from excessive social media posts. The day before, the world's richest man criticized the leadership of OpenAI, the owner of ChatGPT, on social media, calling its CEO 'fraudster Altman.' Prior to Tuesday's court hearing, U.S. District Judge I. Rogers urged Musk and his peers at OpenAI to 'manage their social media usage to prevent worsening matters outside the court.' Musk, Altman, and OpenAI President Greg Brockman all stated they would comply.

Musk and Altman Engage in Heated Exchange as US Judge Urges Restraint

On April 29, sources revealed that Google abruptly withdrew from a $100 million Pentagon bid for voice-controlled autonomous drone swarm technology after successfully making the shortlist. According to another insider, the company notified the U.S. government on February 11 that it would no longer participate in the program aimed at developing drone swarm control technology, just weeks after the proposal was submitted. Records indicate that this decision was made following an internal ethical review. The records also show that Google, a subsidiary of Alphabet, cited a lack of 'resources' as the official reason for its withdrawal. Several Google employees involved in the project expressed disappointment over the decision to withdraw, while hundreds of Google AI researchers have strongly opposed the use of the company's cutting-edge technology for classified military purposes.

[Google Suddenly Withdraws from U.S. Defense Department Drone Swarm Technology Bid]On April 29, sources revealed that Google abruptly withdrew from a $100 million Pentagon bid for voice-controlled autonomous drone swarm technology after successfully making the shortlist. According to another insider, the company notified the U.S. government on February 11 that it would no longer participate in the program aimed at developing drone swarm control technology, just weeks after the proposal was submitted. Records indicate that this decision was made following an internal ethical review. The records also show that Google, a subsidiary of Alphabet, cited a lack of 'resources' as the official reason for its withdrawal. Several Google employees involved in the project expressed disappointment over the decision to withdraw, while hundreds of Google AI researchers have strongly opposed the use of the company's cutting-edge technology for classified military purposes.

Google Suddenly Withdraws from U.S. Defense Department Drone Swarm Technology Bid

On April 29, NVIDIA officially launched the Nemotron 3 Nano Omni, a new member of the Nemotron 3 series, which integrates unified multimodal inference into a single efficient open-source model. NVIDIA stated that agentic systems typically require reasoning in a single perception-to-action loop across screens, documents, audio, video, and text, but still rely on fragmented model chains—separate technology stacks for vision, audio, and text. This increases the number of inference hops and orchestration complexity, raising inference costs while weakening the consistency of cross-modal context. The Nemotron 3 Nano Omni aims to replace this fragmented visual-language-audio technology stack, serving as a multimodal perception and context sub-agent within agentic systems. In terms of accuracy, the Nemotron 3 Nano Omni has achieved leading results on document intelligence leaderboards, while also leading in video and audio understanding benchmarks. On the open industry benchmark MediaPerf for evaluating video understanding models, the Nemotron 3 Nano Omni achieved the highest throughput in every task and recorded the lowest inference cost in video-level annotation tasks. In terms of performance, under a fixed per-user interaction threshold, for video inference, the Nemotron 3 Nano Omni maintains a higher total system throughput, achieving up to approximately 9.2 times the effective system capacity compared to other open-source omni models; for multi-document inference, it can achieve up to approximately 7.4 times the effective system capacity. NVIDIA stated that this model is designed to replace traditional multi-model stitching architectures, reducing inference complexity and costs, and promoting the application of multimodal AI in scenarios such as finance, healthcare, scientific research, and media.

[NVIDIA Launches Nemotron 3 Nano Omni Model: Unified Processing of Video, Audio, Images, and Text to Enhance Multimodal Inference Efficiency]On April 29, NVIDIA officially launched the Nemotron 3 Nano Omni, a new member of the Nemotron 3 series, which integrates unified multimodal inference into a single efficient open-source model. NVIDIA stated that agentic systems typically require reasoning in a single perception-to-action loop across screens, documents, audio, video, and text, but still rely on fragmented model chains—separate technology stacks for vision, audio, and text. This increases the number of inference hops and orchestration complexity, raising inference costs while weakening the consistency of cross-modal context. The Nemotron 3 Nano Omni aims to replace this fragmented visual-language-audio technology stack, serving as a multimodal perception and context sub-agent within agentic systems. In terms of accuracy, the Nemotron 3 Nano Omni has achieved leading results on document intelligence leaderboards, while also leading in video and audio understanding benchmarks. On the open industry benchmark MediaPerf for evaluating video understanding models, the Nemotron 3 Nano Omni achieved the highest throughput in every task and recorded the lowest inference cost in video-level annotation tasks. In terms of performance, under a fixed per-user interaction threshold, for video inference, the Nemotron 3 Nano Omni maintains a higher total system throughput, achieving up to approximately 9.2 times the effective system capacity compared to other open-source omni models; for multi-document inference, it can achieve up to approximately 7.4 times the effective system capacity. NVIDIA stated that this model is designed to replace traditional multi-model stitching architectures, reducing inference complexity and costs, and promoting the application of multimodal AI in scenarios such as finance, healthcare, scientific research, and media.

NVIDIA Launches Nemotron 3 Nano Omni Model: Unified Processing of Video, Audio, Images, and Text to Enhance Multimodal Inference Efficiency

On April 27, a16z crypto released an analysis report titled 'Global Financial New Stack: Stablecoin Edition.' The report indicates that stablecoins have evolved from niche trading tools into fundamental financial pipelines, giving rise to a new 'banking as a service' model that is driving the reconstruction of the financial system. The report asserts that the transition to on-chain finance has 'crossed the point of no return.' It categorizes blockchains into three types: general-purpose chains (such as Solana, Ethereum, and Layer 2), payment-specific chains (like Stripe's Tempo), and institutional networks (such as Canton). It also notes that the bottlenecks in the banking industry are easing, with a number of crypto-friendly banks actively connecting on-chain infrastructure with traditional fiat systems. The competition for stablecoin issuance has shifted towards regulatory positioning, with issuers vying for OCC national trust charters. The report states that payments are the 'first act,' while credit may represent a more significant 'second act.' The large-scale issuance of stablecoins will give rise to new on-chain credit markets, allowing capital to form outside the traditional banking system. The report further emphasizes that stablecoins not only enhance the dominance of the U.S. dollar but also provide emerging market users with access channels to the dollar.

[a16z Crypto Releases Global Financial New Stack Report, Stablecoins Reshaping Financial Systems]On April 27, a16z crypto released an analysis report titled 'Global Financial New Stack: Stablecoin Edition.' The report indicates that stablecoins have evolved from niche trading tools into fundamental financial pipelines, giving rise to a new 'banking as a service' model that is driving the reconstruction of the financial system. The report asserts that the transition to on-chain finance has 'crossed the point of no return.' It categorizes blockchains into three types: general-purpose chains (such as Solana, Ethereum, and Layer 2), payment-specific chains (like Stripe's Tempo), and institutional networks (such as Canton). It also notes that the bottlenecks in the banking industry are easing, with a number of crypto-friendly banks actively connecting on-chain infrastructure with traditional fiat systems. The competition for stablecoin issuance has shifted towards regulatory positioning, with issuers vying for OCC national trust charters. The report states that payments are the 'first act,' while credit may represent a more significant 'second act.' The large-scale issuance of stablecoins will give rise to new on-chain credit markets, allowing capital to form outside the traditional banking system. The report further emphasizes that stablecoins not only enhance the dominance of the U.S. dollar but also provide emerging market users with access channels to the dollar.

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BTC broke through 77000  USDT

a16z Crypto Releases Global Financial New Stack Report, Stablecoins Reshaping Financial Systems

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