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The dark side of the moon plans to release the Kimi K3 large model soon, with a parameter scale reaching 2 to 3 trillion, closely following the leading teams in the United States

According to the Financial Times, informed sources reveal that the Chinese AI unicorn company Moonshot AI plans to release a new large language model, Kimi K3, in the near future. This model has between 20 trillion to 30 trillion parameters, making it the largest AI model in China by parameter scale, and its performance is expected to surpass the flagship model Claude Opus 4.8 from Anthropic in mainstream benchmark tests (industry speculation suggests its parameter count is around 15 trillion to 20 trillion).Unlike the currently mainstream closed-source and expensive cutting-edge large models in the United States, Kimi K3 will be available as an open-weight model for users to download and modify for free, which may create competitive pressure for leading American labs like OpenAI and Anthropic. Currently, due to the rising service fees for large models in the U.S. (for example, Anthropic has announced a 50% price increase for Opus 4.8 in September), some overseas companies have begun to shift towards using more cost-effective Chinese open-source models.In terms of the capital market, informed sources indicate that Moonshot AI is preparing for a new round of financing, with the latest valuation expected to reach approximately $31.5 billion. Meanwhile, the valuations of other AI giants in China and the U.S. are also rising; DeepSeek is starting a new round of financing with an estimated valuation of about $71 billion, while Anthropic and OpenAI have reached valuations of $965 billion and $852 billion, respectively, in their latest round of financing. In response to the aforementioned release and financing rumors, Moonshot AI has currently declined to comment.

TSMC's net profit in the second quarter surged by 77.4%, exceeding expectations, with the 2-nanometer process contributing to revenue for the first time

Global chip foundry giant TSMC announced its financial report for the second quarter of 2026. Benefiting from the strong demand for advanced process chips driven by global AI infrastructure development, TSMC's performance this quarter significantly exceeded market expectations. During the period, it achieved revenue of NT$1.27 trillion (approximately US$40.2 billion), a year-on-year increase of 36%; net profit reached NT$706.6 billion (approximately US$22 billion), a year-on-year surge of 77.4%, far exceeding the market's previous estimate of NT$623.7 billion. In addition, the company's gross margin for the quarter reached 67.7%, and the operating margin was 60.3%, both better than expected.In terms of process structure, advanced processes (7 nanometers and below) contributed a total of 77% to the total wafer revenue this quarter. Among them, the 3-nanometer and 5-nanometer processes accounted for 30% and 33%, respectively, while the 7-nanometer process accounted for 11%. Notably, TSMC's newly shipped 2-nanometer advanced process recorded revenue for the first time, accounting for 3%.Looking ahead, TSMC confirmed that its capital expenditure for 2026 will approach a record US$56 billion and plans to invest approximately US$26.5 billion in its advanced manufacturing park in Arizona, USA. TSMC CEO C.C. Wei stated that the current pace of capacity expansion still lags behind demand, and the situation of supply not meeting demand is expected to continue for several years. Meanwhile, despite TSMC's strong performance, the market remains somewhat cautious and concerned about whether the massive AI investments by tech giants can translate into actual returns and the medium- to long-term competitive landscape.

first_img Tiger Research: In the first half of 2026, cryptocurrency financing reached 13.3 billion USD, with the number of funding rounds down 78% from the peak in 2022

According to Tiger Research and RootData based on research of 9,416 investment transaction data from the first half of 2018 to 2026, the capital inflow in the cryptocurrency market reached $13.3 billion in the first half of 2026, which is basically on par with the total of $13.2 billion for the entire year of 2024. However, the number of financing rounds was only 435, a decrease of 78% from the peak of 1,978 rounds in 2022, indicating that market funds are accelerating towards a few large transactions.The report points out that the current cryptocurrency investment market is dominated by a few large crypto-native VCs focused on leading investments, as well as venture capital departments of exchanges with liquidity and marketing support, while medium-sized institutions are being rapidly squeezed out. In terms of financing structure, the number of seed round transactions decreased by 88% from 2022 to 81, while financing in Series A and later stages accounted for 75.2% of total investments, with Series A financing amounting to $745.8 million, exceeding the total amount of all seed round financing of $423.3 million during the same period.In terms of sectors, payments and stablecoins, centralized exchanges, and prediction markets have become the most concentrated areas of capital. The payments and stablecoins sector attracted $2.85 billion in funding in the first half of 2026, but about 84% of this was driven by mergers and acquisitions such as Mastercard's acquisition of BVNK and Payward's acquisition of Reap; the investment share in the CEX sector rose to 18.2%, while prediction markets rose to 17.5%. In contrast, the number of financing rounds in the gaming sector plummeted from 141 rounds in 2024 to only 5 rounds, a decrease of 96%. Additionally, traditional financial institutions participated in 54.5% of all investment transactions in the first half of 2026.It is reported that Tiger Research is an independent research institution established in 2022, covering the Asian digital asset market, with business operations in South Korea, Japan, China, and Indonesia, publishing institutional-level research content in five languages, with over 100,000 monthly readers and more than 200 institutional clients.
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