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Ant International announced it has completed approximately $1.2 billion in Series A financing, with Ant Group, Alibaba, and others participating in the investment.
According to The Paper, Ant International announced that it has completed its Series A funding round. Ant Group, along with some existing shareholders including Alibaba and multiple well-known international investment institutions, participated in this round. It is reported that the funding amount is approximately $1.2 billion, which will be used to expand global business, accelerate investment in frontier technologies such as AI, broaden inclusive fintech services such as cross-border payments and global accounts, and help global merchants achieve growth.
AI Giants Shake Up Capital Markets: SpaceX, OpenAI, and Anthropic Could Create the Biggest Exit Wave in US VC History
the National Venture Capital Association (NVCA) and PitchBook recently released the "Venture Monitor" report, noting that after SpaceX's listing and the potential IPOs of Anthropic and OpenAI, the combined value generated by these three companies will reach an unprecedented level. The report states: "With SpaceX going public, combined with the future exits of these companies, the value created will surpass the total exit value of all US VC-backed companies since 2000." The core factor lies in the extremely high valuation expectations of these three companies.SpaceX is currently valued at approximately $1.77 trillion, while Anthropic and OpenAI are also moving towards multi-trillion-dollar enterprise valuations. The market estimates that the combined valuation of the three companies could exceed $4 trillion. This scale far surpasses past large-scale tech IPOs. Data from the U.S. Securities and Exchange Commission (SEC) shows that total US IPO fundraising last year was about $70 billion, whereas SpaceX's single-company valuation has already reached a level that traditional large-scale IPOs find hard to match. As a once-highly-watched tech IPO case, Uber was valued at around $84 billion when it went public in 2019, which is less than 5% of SpaceX's current valuation.However, the comparison by NVCA and PitchBook is based on "enterprise value created," not the actual cash-out amounts for investors. Additionally, the analysis does not include non-US companies like Alibaba. Furthermore, the value created by already-public companies such as Apple, Google Android, YouTube, and Instagram is not counted in the VC exit statistics.The report points out that over the past 25 years, the US tech market has seen several historic IPOs, including Google in 2004, Tesla in 2010, and Meta in 2012. These companies have since become some of the world's most valuable enterprises. Additionally, companies like LinkedIn, Slack, and WhatsApp were acquired for over $20 billion.The NVCA believes that the current IPO cycle driven by artificial intelligence (AI) could further break these records. The analysis suggests two main reasons driving this trend:First, tech companies are staying private for longer periods than in the past, accumulating higher valuations through prolonged financing and business expansion. If today's Google were in its early stages, it might also choose to go public later to achieve a higher market valuation.Second, the AI industry is highly capital-intensive. Training large AI models requires massive investment, pushing AI companies to continuously raise substantial funds and driving rapid valuation growth.Industry insiders believe that the potential scale of IPOs by SpaceX, Anthropic, and OpenAI will test the capacity of the US capital market. As AI companies transition from the private financing stage to the public market, how trillions of dollars in tech assets flow into the stock market will become a focus for investors. (DigitalToday)
Alibaba Did Not Participate in DeepSeek’s Financing Negotiations; Market Sources Deny Rumors of a “Breakdown” in Talks
According to Yicai, recent reports indicate that DeepSeek is launching its first round of financing, attracting interest from companies including Tencent and Alibaba in discussions regarding equity investment. However, negotiations between Alibaba and DeepSeek recently broke down. Today, a market source told Yicai reporters that Alibaba likely did not engage in such negotiations.
Deepseek and Alibaba Funding Negotiations Reportedly Break Down: Alibaba Did Not Participate in Talks
in April, DeepSeek launched a rare massive fundraising plan, attracting major players Tencent and Alibaba. Earlier, media sources claimed that negotiations between Alibaba and DeepSeek had collapsed. In response, a market source exclusively told reporters on May 9 that Alibaba likely did not participate in any talks. (National Business Daily)
Market news: Alibaba and DeepSeek failed to reach an agreement on specific financing terms, with Tencent potentially subscribing to up to 20% of shares
: A source close to DeepSeek revealed that Alibaba and DeepSeek could not reach an agreement on specific financing terms. On one hand, Alibaba's own ecosystem is not highly compatible with DeepSeek, and DeepSeek is not short of potential external investors, hoping to minimize restrictions on the terms.Additionally, DeepSeek and potential shareholders are currently in negotiations. Bloomberg, citing sources familiar with the matter, reported that Tencent has proposed subscribing to up to 20% of DeepSeek's shares in this financing round, but DeepSeek is reluctant to cede a large proportion of control. According to previous reports, DeepSeek is valued at up to 300 billion and plans to raise 50 billion, of which 20 billion will be internal capital increase and 30 billion external fundraising. This valuation has been confirmed by DeepSeek internal employees. (White Whale Lab)
Tencent and Alibaba are in talks to invest in DeepSeek, with its valuation potentially exceeding $2 billion.
According to The Information, Tencent and Alibaba are in talks to invest in DeepSeek, which is valued at over $20 billion.
Polymarket new: "Will the US government revoke public access to another major AI model?"
The PPP Prediction Market tool monitors that Polymarket has listed a new event: "Will the US government revoke public access to another major AI model?" The current probability is reported at 33%.The settlement rules state: If the US federal government, by the end of 2026, passes relevant legislation, issues an executive order, implements export controls, or takes any other action that substantially restricts US public access to a major AI model, the market outcome will be "Yes." Otherwise, the outcome will be "No." A "qualifying action" refers to a formal measure taken by the US government, the effect of which is equivalent to completely prohibiting the public from accessing a specific AI model within the United States. Furthermore, the settlement rules emphasize that regardless of the action's true purpose or nominal goal; if the action effectively results in the public being unable to access the model within the US—for example, prohibiting the model from being provided to foreign citizens or governments, as long as the general public cannot access the model through conventional channels within the US—it meets the qualification requirements. Merely excluding access to the model from a single channel is insufficient. Removals of public access that are not caused by any formal action of the US government are not eligible."Mainstream AI model" refers to the flagship, general-purpose large language model or multimodal foundation model developed by one of the following companies: OpenAI, Anthropic, Google (including Google DeepMind), Meta, xAI, Microsoft, Amazon, Mistral AI, DeepSeek, Alibaba, ByteDance, Moonshot AI, and Zhipu AI (Z.ai). Models designed for specific tasks, or those that are outdated, used solely for research or preview purposes, do not meet this criterion.The action can target a single model or a group of models, as long as at least one major AI model becomes inaccessible to the public within the US as a result. A temporary suspension of public access to a model meets this condition. However, if an action has been implemented or a related resolution has been issued, but the public can still access the model before the resolution takes effect, that action does not meet the condition.The information sources for this market are official announcements and information from the US government and the relevant AI companies. However, reliable media reports may also be referenced to form a consensus.The Odaily Seer Channel continues to monitor prediction markets, observing changes before prices are set.
U.S. Approves Sale of NVIDIA H200 Chips to 10 Chinese Companies
According to a Reuters report, the U.S. has approved the sale of NVIDIA H200 AI chips to 10 Chinese companies, including Alibaba, Tencent, and ByteDance; however, no chips have been delivered yet, and related transactions have stalled. The report notes that NVIDIA CEO Jensen Huang joined the U.S. delegation during President Donald Trump’s visit to China in an effort to advance H200 chip sales in China. The U.S. Department of Commerce has also authorized certain distributors—including Lenovo and Foxconn—to directly procure and resell the chips. Yet, due to stringent U.S. restrictions on H200 exports—including security, end-use, revenue-sharing, and legal requirements—these conditions conflict with China’s supply-chain security policies, resulting in increasingly strict order approvals.
The United States has approved about 10 Chinese companies to purchase H200 chips, with each company capped at 75,000 units
, May 14 - Currently, around 10 Chinese companies have been granted permission to purchase H200 chips. The buyers include Alibaba, Tencent, ByteDance, and JD.com, while Lenovo and Foxconn have been approved as distributors. According to the U.S. license, each customer can purchase up to 75,000 H200 chips, but no shipments have yet been made. China has rejected the Trump administration's mandatory requirement for chips to transit through the U.S. and a 25% fee, and has instructed companies to halt purchases. Nvidia CEO Jensen Huang temporarily accepted an invitation from Trump to join the White House delegation to China and participate in high-level meetings this week. (Reuters)
Alibaba Qwen Team Releases Qwen Image 3.0, Supporting 4500 Token Instructions
: On July 21, the Alibaba Qwen team released Qwen Image 3.0. This model supports up to 4500 token instruction input, which is 4.5 times the processing capacity of its predecessor. It can generate complex layouts such as newspapers, storyboards, and dense infographic grids in a single run.The Qwen team stated that Qwen Image 3.0 supports precise rendering of small text at 10px, can present details like pores and hair strands, and supports LaTeX formulas along with native rendering in 12 languages. It can simulate mainstream interfaces such as web pages, games, and live streams.Qwen Image 3.0 is now available for API trial on chat.qwen.ai, but API pricing has not yet been announced. This release did not include the open-sourcing of model weights, benchmark tables, or technical reports.
AI Giants Shake Up Capital Markets: SpaceX, OpenAI, and Anthropic Could Create the Biggest Exit Wave in US VC History
the National Venture Capital Association (NVCA) and PitchBook recently released the "Venture Monitor" report, noting that after SpaceX's listing and the potential IPOs of Anthropic and OpenAI, the combined value generated by these three companies will reach an unprecedented level. The report states: "With SpaceX going public, combined with the future exits of these companies, the value created will surpass the total exit value of all US VC-backed companies since 2000." The core factor lies in the extremely high valuation expectations of these three companies.SpaceX is currently valued at approximately $1.77 trillion, while Anthropic and OpenAI are also moving towards multi-trillion-dollar enterprise valuations. The market estimates that the combined valuation of the three companies could exceed $4 trillion. This scale far surpasses past large-scale tech IPOs. Data from the U.S. Securities and Exchange Commission (SEC) shows that total US IPO fundraising last year was about $70 billion, whereas SpaceX's single-company valuation has already reached a level that traditional large-scale IPOs find hard to match. As a once-highly-watched tech IPO case, Uber was valued at around $84 billion when it went public in 2019, which is less than 5% of SpaceX's current valuation.However, the comparison by NVCA and PitchBook is based on "enterprise value created," not the actual cash-out amounts for investors. Additionally, the analysis does not include non-US companies like Alibaba. Furthermore, the value created by already-public companies such as Apple, Google Android, YouTube, and Instagram is not counted in the VC exit statistics.The report points out that over the past 25 years, the US tech market has seen several historic IPOs, including Google in 2004, Tesla in 2010, and Meta in 2012. These companies have since become some of the world's most valuable enterprises. Additionally, companies like LinkedIn, Slack, and WhatsApp were acquired for over $20 billion.The NVCA believes that the current IPO cycle driven by artificial intelligence (AI) could further break these records. The analysis suggests two main reasons driving this trend:First, tech companies are staying private for longer periods than in the past, accumulating higher valuations through prolonged financing and business expansion. If today's Google were in its early stages, it might also choose to go public later to achieve a higher market valuation.Second, the AI industry is highly capital-intensive. Training large AI models requires massive investment, pushing AI companies to continuously raise substantial funds and driving rapid valuation growth.Industry insiders believe that the potential scale of IPOs by SpaceX, Anthropic, and OpenAI will test the capacity of the US capital market. As AI companies transition from the private financing stage to the public market, how trillions of dollars in tech assets flow into the stock market will become a focus for investors. (DigitalToday)
Polymarket new: "Will the US government revoke public access to another major AI model?"
The PPP Prediction Market tool monitors that Polymarket has listed a new event: "Will the US government revoke public access to another major AI model?" The current probability is reported at 33%.The settlement rules state: If the US federal government, by the end of 2026, passes relevant legislation, issues an executive order, implements export controls, or takes any other action that substantially restricts US public access to a major AI model, the market outcome will be "Yes." Otherwise, the outcome will be "No." A "qualifying action" refers to a formal measure taken by the US government, the effect of which is equivalent to completely prohibiting the public from accessing a specific AI model within the United States. Furthermore, the settlement rules emphasize that regardless of the action's true purpose or nominal goal; if the action effectively results in the public being unable to access the model within the US—for example, prohibiting the model from being provided to foreign citizens or governments, as long as the general public cannot access the model through conventional channels within the US—it meets the qualification requirements. Merely excluding access to the model from a single channel is insufficient. Removals of public access that are not caused by any formal action of the US government are not eligible."Mainstream AI model" refers to the flagship, general-purpose large language model or multimodal foundation model developed by one of the following companies: OpenAI, Anthropic, Google (including Google DeepMind), Meta, xAI, Microsoft, Amazon, Mistral AI, DeepSeek, Alibaba, ByteDance, Moonshot AI, and Zhipu AI (Z.ai). Models designed for specific tasks, or those that are outdated, used solely for research or preview purposes, do not meet this criterion.The action can target a single model or a group of models, as long as at least one major AI model becomes inaccessible to the public within the US as a result. A temporary suspension of public access to a model meets this condition. However, if an action has been implemented or a related resolution has been issued, but the public can still access the model before the resolution takes effect, that action does not meet the condition.The information sources for this market are official announcements and information from the US government and the relevant AI companies. However, reliable media reports may also be referenced to form a consensus.The Odaily Seer Channel continues to monitor prediction markets, observing changes before prices are set.
Alibaba (BABA) Faces Profit Pressure Due to Heavy AI Investments; Bybit’s BABAUSDT Perpetual Contract 24-Hour Trading Volume Surpasses $13 Million, Leading the Market
It is reported that Alibaba Group (NYSE: BABA) saw its stock price drop nearly 5% in a single day following the release of its FY2026 Q4 earnings report on May 15. While revenue showed modest growth, profitability deteriorated sharply: Non-GAAP EPS stood at just $0.09, adjusted EBITDA contracted approximately 84% year-on-year, and quarterly free cash flow turned negative at $2.5 billion. Management attributed the losses to intense capital expenditures during the AI-First strategic transformation—specifically, procurement of AI computing power, expansion of data centers, and subsidies for instant delivery services—all occurring simultaneously and significantly compressing short-term profit margins. Ongoing U.S.-China tech tensions and persistent uncertainty surrounding AI chip export controls have further amplified market pessimism. The stock fell nearly 5% today.
Binance Futures will launch perpetual contracts for Microsoft, Broadcom, and Alibaba on April 20.
According to the official announcement, Binance Futures will launch MSFTUSDT, AVGOUSDT, and BABAUSDT—three USDT-denominated perpetual contracts—in batches on April 20, 2026. These contracts track the stock prices of Microsoft (Nasdaq: MSFT), Broadcom (Nasdaq: AVGO), and Alibaba Group (NYSE: BABA), respectively. All three contracts offer a maximum leverage of 10x, a funding rate cap of ±2%, and funding settlements every 8 hours. They support 24/7 trading and multi-asset margin mode.
Stanford Releases 2026 AI Index Report: AI's Electricity Demand Has Reached Half of Bitcoin Mining
Odaily News Stanford University's "2026 AI Index Report" reveals that the overall electricity demand of current AI systems is already close to half the scale of Bitcoin mining and approaches the national electricity consumption levels of Switzerland or Austria.The report points out that the gap in AI model capabilities between China and the United States is narrowing. In 2025, the U.S. launched approximately 50 representative models, while China launched about 30. Models from institutions such as Anthropic, xAI, Google, OpenAI, Alibaba, and DeepSeek are within the same capability tier.Furthermore, China leads in terms of AI paper citation share (20.6%) and patent quantity (74.2%), while private AI investment in the United States reached $285.9 billion, significantly higher than China's $12.4 billion.
Related news
前阿里副总裁贾扬清创办 Intent Lab，推出自主 Agent 团队“Fleet”
Yangqing Jia, former Vice President of Technology at Alibaba and founder of Lepton AI, announced the founding of a new company, Intent Lab, and launched the autonomous Agent team "Fleet", aiming to directly transform users' natural language requirements into production-ready software systems.
Alibaba Qwen Team Releases Qwen Image 3.0, Supporting 4500 Token Instructions
: On July 21, the Alibaba Qwen team released Qwen Image 3.0. This model supports up to 4500 token instruction input, which is 4.5 times the processing capacity of its predecessor. It can generate complex layouts such as newspapers, storyboards, and dense infographic grids in a single run.The Qwen team stated that Qwen Image 3.0 supports precise rendering of small text at 10px, can present details like pores and hair strands, and supports LaTeX formulas along with native rendering in 12 languages. It can simulate mainstream interfaces such as web pages, games, and live streams.Qwen Image 3.0 is now available for API trial on chat.qwen.ai, but API pricing has not yet been announced. This release did not include the open-sourcing of model weights, benchmark tables, or technical reports.
Ant International announced it has completed approximately $1.2 billion in Series A financing, with Ant Group, Alibaba, and others participating in the investment.
According to The Paper, Ant International announced that it has completed its Series A funding round. Ant Group, along with some existing shareholders including Alibaba and multiple well-known international investment institutions, participated in this round. It is reported that the funding amount is approximately $1.2 billion, which will be used to expand global business, accelerate investment in frontier technologies such as AI, broaden inclusive fintech services such as cross-border payments and global accounts, and help global merchants achieve growth.
Gate announces Jason Fung as Head of Global Partnerships to accelerate global ecosystem collaboration
Gate today announced that Jason Fung has officially joined Gate as Head of Global Partnerships. In this role, he will lead the global partnership strategy, deepen long-term collaboration with high-quality projects, L1/L2 ecosystems, TradFi institutions, and Web3 partners, and enhance the platform's ecosystem value and global resource integration capabilities.Jason brings over 15 years of industry experience across Web3, fintech, consumer technology, and gaming. He has previously held positions at Sei, ABFinance, TikTok, and Alibaba, and has been involved in founding several Web2 and Web3 ventures. He has accumulated extensive expertise in market expansion, ecosystem development, asset operations, strategic partnerships, and international business growth. He graduated from the Rotman School of Management at the University of Toronto with a Bachelor of Commerce degree.Jason stated: "I am delighted to join Gate. The digital asset industry is ushering in more opportunities for innovation and collaboration. I look forward to leveraging my experience in Web3, technology, and global partnerships to build closer ties with projects, ecosystem partners, and industry participants worldwide, explore more innovative opportunities, and jointly drive the development of the digital asset space."Jason's appointment will further refine Gate's global partnership framework, promote cross-ecosystem and cross-industry resource synergy, and collaborate with more partners to explore innovative applications of digital assets, contributing to the construction and long-term development of the industry ecosystem.
AI Giants Shake Up Capital Markets: SpaceX, OpenAI, and Anthropic Could Create the Biggest Exit Wave in US VC History
the National Venture Capital Association (NVCA) and PitchBook recently released the "Venture Monitor" report, noting that after SpaceX's listing and the potential IPOs of Anthropic and OpenAI, the combined value generated by these three companies will reach an unprecedented level. The report states: "With SpaceX going public, combined with the future exits of these companies, the value created will surpass the total exit value of all US VC-backed companies since 2000." The core factor lies in the extremely high valuation expectations of these three companies.SpaceX is currently valued at approximately $1.77 trillion, while Anthropic and OpenAI are also moving towards multi-trillion-dollar enterprise valuations. The market estimates that the combined valuation of the three companies could exceed $4 trillion. This scale far surpasses past large-scale tech IPOs. Data from the U.S. Securities and Exchange Commission (SEC) shows that total US IPO fundraising last year was about $70 billion, whereas SpaceX's single-company valuation has already reached a level that traditional large-scale IPOs find hard to match. As a once-highly-watched tech IPO case, Uber was valued at around $84 billion when it went public in 2019, which is less than 5% of SpaceX's current valuation.However, the comparison by NVCA and PitchBook is based on "enterprise value created," not the actual cash-out amounts for investors. Additionally, the analysis does not include non-US companies like Alibaba. Furthermore, the value created by already-public companies such as Apple, Google Android, YouTube, and Instagram is not counted in the VC exit statistics.The report points out that over the past 25 years, the US tech market has seen several historic IPOs, including Google in 2004, Tesla in 2010, and Meta in 2012. These companies have since become some of the world's most valuable enterprises. Additionally, companies like LinkedIn, Slack, and WhatsApp were acquired for over $20 billion.The NVCA believes that the current IPO cycle driven by artificial intelligence (AI) could further break these records. The analysis suggests two main reasons driving this trend:First, tech companies are staying private for longer periods than in the past, accumulating higher valuations through prolonged financing and business expansion. If today's Google were in its early stages, it might also choose to go public later to achieve a higher market valuation.Second, the AI industry is highly capital-intensive. Training large AI models requires massive investment, pushing AI companies to continuously raise substantial funds and driving rapid valuation growth.Industry insiders believe that the potential scale of IPOs by SpaceX, Anthropic, and OpenAI will test the capacity of the US capital market. As AI companies transition from the private financing stage to the public market, how trillions of dollars in tech assets flow into the stock market will become a focus for investors. (DigitalToday)
Analysis: Overseas developers are turning to Chinese AI models like DeepSeek to cut costs
According to Odaily, as the cost of using AI continues to rise, a growing number of overseas startups and developers are adopting Chinese AI models such as DeepSeek, Alibaba, and Moonshot AI to reduce inference costs. Data shows that DeepSeek's share of AI traffic on the cloud platform Vercel has increased from less than 1% in May this year to 17%. AI model aggregation platform OpenRouter stated that DeepSeek's usage doubled in the first half of 2026, making it the most popular model on the platform. It also noted that the token usage share of open-source models from Chinese companies including Xiaomi, MiniMax, and Tencent continues to rise, while the shares of Google and OpenAI have declined. (Bloomberg)