News linked to both this project and an event.
: 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.
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)
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.
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.
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.
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.