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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.

Bitget has added 39 stock tokens (rToken) for collateral in its staking and borrowing services

According to the official announcement, Bitget's staking and borrowing section has added support for 39 stock tokens (rToken) as collateral assets. The newly listed targets include popular US stocks and ETFs such as rAMD, rSMH, rARM, and rSKHY, covering diverse categories like semiconductors, finance, healthcare, and energy.Users holding the relevant stock tokens can now use them as collateral to borrow mainstream assets like USDT and USDC, releasing liquidity without selling their positions. The related features are now available on the web, and the app version is expected to be launched within this week. Specific collateral parameters and more details can be found on the Bitget official platform.It is reported that the rToken, identified by the letter r + stock code (for example, Nvidia is rNVDA), is issued by Reality, a licensed RWA protocol under Bitget, and is directly connected to global liquidity pools like NASDAQ and NYSE through cooperation with compliant broker Alpaca. Its features include: 1:1 reserves of underlying assets managed by licensed custodians, stock dividends distributed in token form at a 1:1 ratio, support for corporate actions (such as stock splits), and the ability to use holdings as joint collateral for unified accounts and U-based contracts, allowing users to flexibly manage funds while holding global stock assets.

Goldman Sachs and JPMorgan Chase released their Q2 financial reports, with hundreds of billions in credit flowing into adjacent sectors of cryptocurrency

According to BBX data, yesterday the two flagship institutions on Wall Street released their Q2 2026 financial reports on the same day, forming an important institutional narrative anchor regarding AI infrastructure and digital assets. The core dynamics are as follows:The Goldman Sachs Group, Inc. (NYSE: $GS) released its Q2 2026 financial report on July 14, with CEO David Solomon providing the strongest institutional endorsement of AI infrastructure to date during the earnings call: "AI infrastructure is in the early innings of a multi-year investment cycle," and stated that the company expects to finance most of the AI infrastructure development, driving growth in mergers and acquisitions, debt and equity issuance, and lending opportunities. This assessment highly resonates with Goldman’s ongoing positioning in the crypto ecosystem: Q1 2026 13F shows the company holds approximately $700 million in iShares Bitcoin Trust ($IBIT) positions, while simultaneously liquidating all positions in XRP ETF and Solana ETF, and increasing holdings in Circle ($CRCL), Galaxy Digital ($GLXY), and Coinbase ($COIN) stocks; the company applied to the SEC for a Bitcoin Premium Income ETF (covered call option structure) on April 14; and on June 12, completed a $75 billion fundraising as the lead underwriter for SpaceX's largest IPO in history. Solomon's "early innings" assertion is a public confirmation that Goldman views AI infrastructure investment and crypto asset allocation as part of the same long-term narrative.JPMorgan Chase & Co. (NYSE: $JPM) also released its Q2 2026 financial report on July 14. According to CoinDesk Live Updates, CEO Jamie Dimon identified the rapid construction of AI computing infrastructure as a core driver of corporate investment and financing demand during the earnings call, forming a rare cross-institutional consensus with Goldman and BofA. JPMorgan has previously maintained a cautious stance on crypto regulation, but its statements in the AI data center financing sector are becoming a foundation for its entry into adjacent crypto tracks (including loans to AI mining companies and tokenized bond underwriting). Notably, JPMorgan has previously issued multiple warnings of "time running out" during the CLARITY Act legislative process, and this financial report did not provide a new legislative timeline assessment, but the strong qualitative outlook for AI infrastructure indicates that the bank will continue to provide financing services to AI mining clients such as TeraWulf and IREN, further deepening its balance sheet exposure to the crypto ecosystem.
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