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Alibaba ATH announced that HappyHorse-1.0 will gradually open API testing through the Alibaba Cloud Bailian platform on April 27, with the first batch of invitees being enterprise-level clients. This 'dark horse' in the video generation field is about to unveil its mysteries. According to Alibaba ATH, the company has been deeply involved in AI video generation for many years, with the HappyHorse project led by the ATH Innovation Division, in collaboration with multiple teams including Alibaba Platform Technology, Tongyi Laboratory, and Taotian Technology. After the testing opens at the end of April, HappyHorse-1.0 is set for official commercial release in May. (Jinshi)

[Alibaba's HappyHorse to Open Testing on April 27]Alibaba ATH announced that HappyHorse-1.0 will gradually open API testing through the Alibaba Cloud Bailian platform on April 27, with the first batch of invitees being enterprise-level clients. This 'dark horse' in the video generation field is about to unveil its mysteries. According to Alibaba ATH, the company has been deeply involved in AI video generation for many years, with the HappyHorse project led by the ATH Innovation Division, in collaboration with multiple teams including Alibaba Platform Technology, Tongyi Laboratory, and Taotian Technology. After the testing opens at the end of April, HappyHorse-1.0 is set for official commercial release in May. (Jinshi)

Alibaba's HappyHorse to Open Testing on April 27

On April 20, news from Artemis data revealed that Hyperliquid is expected to generate $78 million per capita by 2025, making it the company with the highest per capita output in the world.

[Hyperliquid Projected to Generate $78 Million Per Capita by 2025]On April 20, news from Artemis data revealed that Hyperliquid is expected to generate $78 million per capita by 2025, making it the company with the highest per capita output in the world.

Hyperliquid Projected to Generate $78 Million Per Capita by 2025

On April 20, according to news from 'Internet Information Guangdong', as of April 20, Guangdong Province has added 6 newly registered generative AI services, bringing the total number of registered generative AI services to 47.

[Guangdong Province Adds 6 Newly Registered Generative AI Services]On April 20, according to news from 'Internet Information Guangdong', as of April 20, Guangdong Province has added 6 newly registered generative AI services, bringing the total number of registered generative AI services to 47.

Guangdong Province Adds 6 Newly Registered Generative AI Services

On April 20, sources revealed that ByteDance's net profit for 2025 is expected to decline by more than 70% year-on-year, with a significant drop in profit margins. This decline is attributed to the company's substantial investment in AI business during the third and fourth quarters of last year. Meanwhile, ByteDance's overseas revenue is projected to grow by nearly 50% in 2025, significantly outpacing the approximately 20% growth in domestic revenue. The share of overseas business revenue is also expected to rise from 25% in 2024 to over 30%, setting a new historical high. TikTok Shop's GMV is anticipated to increase by nearly 70% year-on-year in 2025, serving as the main driver for the rise in ByteDance's overseas revenue share. ByteDance has not commented on the above data.

[ByteDance's Net Profit Expected to Drop Over 70% in 2025 Amid Increased AI Investment]On April 20, sources revealed that ByteDance's net profit for 2025 is expected to decline by more than 70% year-on-year, with a significant drop in profit margins. This decline is attributed to the company's substantial investment in AI business during the third and fourth quarters of last year. Meanwhile, ByteDance's overseas revenue is projected to grow by nearly 50% in 2025, significantly outpacing the approximately 20% growth in domestic revenue. The share of overseas business revenue is also expected to rise from 25% in 2024 to over 30%, setting a new historical high. TikTok Shop's GMV is anticipated to increase by nearly 70% year-on-year in 2025, serving as the main driver for the rise in ByteDance's overseas revenue share. ByteDance has not commented on the above data.

ByteDance's Net Profit Expected to Drop Over 70% in 2025 Amid Increased AI Investment

On April 20, the Bank of Japan released its quarterly household confidence report, indicating that Japanese households' long-term inflation expectations have slightly increased, reaching the highest level in at least twenty years. While the median expected inflation rate over the next five years remains unchanged at 5%, the average expectation rose from 9.8% in the last survey to 10.3%, marking the highest since data collection began in June 2006. The survey was conducted from February 4 to March 9, suggesting it may not fully reflect the impact of the Middle East conflict that erupted on February 28. Households expect prices to rise by an average of 11.4% over the next year, slightly down from 11.6% in the previous survey. The economic outlook index deteriorated for the first time in three quarters, falling from -18.3 to -18.5. About 22% of households indicated that current interest rates are too high, a record high. The proportion of households expressing trust or partial trust in the Bank of Japan rose to 51.3%, also a record high. (Toshin News Agency)

[Bank of Japan Survey Shows Long-term Inflation Expectations Rise to New Highs]On April 20, the Bank of Japan released its quarterly household confidence report, indicating that Japanese households' long-term inflation expectations have slightly increased, reaching the highest level in at least twenty years. While the median expected inflation rate over the next five years remains unchanged at 5%, the average expectation rose from 9.8% in the last survey to 10.3%, marking the highest since data collection began in June 2006. The survey was conducted from February 4 to March 9, suggesting it may not fully reflect the impact of the Middle East conflict that erupted on February 28. Households expect prices to rise by an average of 11.4% over the next year, slightly down from 11.6% in the previous survey. The economic outlook index deteriorated for the first time in three quarters, falling from -18.3 to -18.5. About 22% of households indicated that current interest rates are too high, a record high. The proportion of households expressing trust or partial trust in the Bank of Japan rose to 51.3%, also a record high. (Toshin News Agency)

Bank of Japan Survey Shows Long-term Inflation Expectations Rise to New Highs

On April 20, it was reported that the capital market plays a core hub role in serving the real economy, supporting technological innovation, and promoting the development of new productive forces. Its core function lies in efficiently and accurately guiding capital to the areas with the greatest development potential through a price discovery mechanism. However, financial information 'AI pollution' is eroding this core function from the ground up, becoming a new source of systemic risk that disturbs resource allocation. Chen Duan explained that algorithmic resonance and sudden changes in liquidity triggered by AI pollution can create irrational market shocks, potentially leading to cross-market risk contagion, disrupting the transmission effect of macro policies, and ultimately weakening the resilience and effectiveness of capital markets in serving the national strategic landscape. Therefore, addressing AI pollution is not only a technical or market issue but also a strategic necessity for maintaining financial security and ensuring the smooth flow of financial lifeblood.

[Director Chen Duan of Central University of Finance and Economics: Financial Information 'AI Pollution' Has Become a New Source of Systemic Risk Disturbing Capital Market Resource Allocation]On April 20, it was reported that the capital market plays a core hub role in serving the real economy, supporting technological innovation, and promoting the development of new productive forces. Its core function lies in efficiently and accurately guiding capital to the areas with the greatest development potential through a price discovery mechanism. However, financial information 'AI pollution' is eroding this core function from the ground up, becoming a new source of systemic risk that disturbs resource allocation. Chen Duan explained that algorithmic resonance and sudden changes in liquidity triggered by AI pollution can create irrational market shocks, potentially leading to cross-market risk contagion, disrupting the transmission effect of macro policies, and ultimately weakening the resilience and effectiveness of capital markets in serving the national strategic landscape. Therefore, addressing AI pollution is not only a technical or market issue but also a strategic necessity for maintaining financial security and ensuring the smooth flow of financial lifeblood.

Director Chen Duan of Central University of Finance and Economics: Financial Information 'AI Pollution' Has Become a New Source of Systemic Risk Disturbing Capital Market Resource Allocation

edge Surges 10.27% in 24H, Currently at 1.3459 USDT

【edge currently trades at 1.3459 USDT, up 10.27% in 24h, according to HTX market data.】edge Surges 10.27% in 24H, Currently at 1.3459 USDT

edge currently trades at 1.3459 USDT, up 10.27% in 24h, according to HTX market data.

On April 20, Shu Junliang, Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, confirmed his attendance at the offline event "Decoding Web 4.0: When AI Agents Take Over On-chain Permissions," co-hosted by Rhythm BlockBeats, Dongcha Beating, and Zhihu, which will be held in Hong Kong on April 21. In his keynote speech, Shu will focus on the following areas: · Security Infrastructure: Creating a 'trustless' environment around fund permissions with sandbox isolation, cloud execution, and full-chain traceability. · Reconstructing Entry Barriers: Moving from developer tools to mass adoption, achieving an 'instant use' interaction experience with Agents. · Self-evolving Decision Models: Agents learning user strategies and risk preferences to form personalized investment research and execution systems. · Knowledge Network Mechanisms: Strategy accumulation and sharing, driving on-chain cognition and capability reuse. · Restructuring Trading Division of Labor: Agents taking over information and execution, allowing humans to focus on core decision-making. Additionally, his speech will explore the application paths of integrating digital finance and traditional finance under the empowerment of AI, in conjunction with MuleRun's latest access to trading infrastructure and multi-source data capabilities.

[MuleRun CTO Shu Junliang: Building AI Infrastructure to Empower AI Agents with 'Trading Power']On April 20, Shu Junliang, Chief Technology Officer of MuleRun, the world's first self-evolving personal AI project, confirmed his attendance at the offline event "Decoding Web 4.0: When AI Agents Take Over On-chain Permissions," co-hosted by Rhythm BlockBeats, Dongcha Beating, and Zhihu, which will be held in Hong Kong on April 21. In his keynote speech, Shu will focus on the following areas: · Security Infrastructure: Creating a 'trustless' environment around fund permissions with sandbox isolation, cloud execution, and full-chain traceability. · Reconstructing Entry Barriers: Moving from developer tools to mass adoption, achieving an 'instant use' interaction experience with Agents. · Self-evolving Decision Models: Agents learning user strategies and risk preferences to form personalized investment research and execution systems. · Knowledge Network Mechanisms: Strategy accumulation and sharing, driving on-chain cognition and capability reuse. · Restructuring Trading Division of Labor: Agents taking over information and execution, allowing humans to focus on core decision-making. Additionally, his speech will explore the application paths of integrating digital finance and traditional finance under the empowerment of AI, in conjunction with MuleRun's latest access to trading infrastructure and multi-source data capabilities.

MuleRun CTO Shu Junliang: Building AI Infrastructure to Empower AI Agents with 'Trading Power'

According to Beating monitoring, Recursive Superintelligence has completed at least $500 million in funding, with a pre-money valuation of $4 billion. The round was led by GV (Google's venture capital arm, formerly Google Ventures), with Nvidia participating as well. This round was significantly oversubscribed, and the final amount could reach $1 billion. The company was registered in London at the end of last year, has about 20 employees, and has yet to make a formal public appearance. The founding team mainly consists of core researchers from OpenAI, Google DeepMind, and Salesforce. Richard Socher was previously the Chief Scientist at Salesforce; Tim Rocktäschel is an AI professor at University College London and was recently a principal scientist at DeepMind, where he worked on the Genie interactive world model; Josh Tobin, Jeff Clune, and Tim Shi are from OpenAI, while other members come from Google and Meta. The company's goal is to create AI systems that can continuously improve themselves without human intervention. Currently, large models, once trained, are essentially fixed; to enhance them, engineers must reorganize data and retrain the models. Self-improvement refers to models generating their own data and updating their parameters, removing humans from the training loop. This approach has long been a goal in AI research, but there are currently no public results proving it can operate stably over the long term. In the first quarter of this year, global startup funding reached a historic high of $300 billion, with OpenAI, Anthropic, xAI, and Waymo taking the lion's share (Crunchbase data). Recursive is also one of the new AI laboratories spun off from OpenAI, Google, and Meta in recent months, alongside others like Thinking Machines Lab, Safe Superintelligence, Ineffable Intelligence, and Advanced Machine Intelligence Labs.

[Recursive Superintelligence Raises $500 Million in Four Months for Self-Improving AI Development]According to Beating monitoring, Recursive Superintelligence has completed at least $500 million in funding, with a pre-money valuation of $4 billion. The round was led by GV (Google's venture capital arm, formerly Google Ventures), with Nvidia participating as well. This round was significantly oversubscribed, and the final amount could reach $1 billion. The company was registered in London at the end of last year, has about 20 employees, and has yet to make a formal public appearance. The founding team mainly consists of core researchers from OpenAI, Google DeepMind, and Salesforce. Richard Socher was previously the Chief Scientist at Salesforce; Tim Rocktäschel is an AI professor at University College London and was recently a principal scientist at DeepMind, where he worked on the Genie interactive world model; Josh Tobin, Jeff Clune, and Tim Shi are from OpenAI, while other members come from Google and Meta. The company's goal is to create AI systems that can continuously improve themselves without human intervention. Currently, large models, once trained, are essentially fixed; to enhance them, engineers must reorganize data and retrain the models. Self-improvement refers to models generating their own data and updating their parameters, removing humans from the training loop. This approach has long been a goal in AI research, but there are currently no public results proving it can operate stably over the long term. In the first quarter of this year, global startup funding reached a historic high of $300 billion, with OpenAI, Anthropic, xAI, and Waymo taking the lion's share (Crunchbase data). Recursive is also one of the new AI laboratories spun off from OpenAI, Google, and Meta in recent months, alongside others like Thinking Machines Lab, Safe Superintelligence, Ineffable Intelligence, and Advanced Machine Intelligence Labs.

Recursive Superintelligence Raises $500 Million in Four Months for Self-Improving AI Development

According to Decrypt, Valkyrie is putting one of fintwit's favorite memes back to work in a new ETF filing. The investment firm yesterday filed a fresh application for a Bitcoin futures-based exchange-traded fund that’s hoped to trade on the NASDAQ under the ticker “BTFD.” Unlike the firm’s already active BTF fund, this one will be leveraged, letting speculators double down on their exposure to the leading cryptocurrency.

Detail

【Valkyrie Files ‘BTFD’ Ticker for Leveraged Bitcoin Futures ETF Application】According to Decrypt, Valkyrie is putting one of fintwit's favorite memes back to work in a new ETF filing. The investment firm yesterday filed a fresh application for a Bitcoin futures-based exchange-traded fund that’s hoped to trade on the NASDAQ under the ticker “BTFD.” Unlike the firm’s already active BTF fund, this one will be leveraged, letting speculators double down on their exposure to the leading cryptocurrency.

Valkyrie Files ‘BTFD’ Ticker for Leveraged Bitcoin Futures ETF Application

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Article

Valkyrie Files ‘BTFD’ Ticker for Leveraged Bitcoin Futures ETF Application

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