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NVIDIA invests in OpenAI to co-establish a new AI laboratory, providing large-scale GPU computing power support

According to a report by the WSJ, Nvidia has invested in the AI laboratory Safe Superintelligence (SSI), founded by former OpenAI chief scientist Ilya Sutskever. The two parties have reached a long-term cooperation agreement aimed at expanding SSI's computing resources while helping Nvidia secure important clients in the AI field. Both companies stated that Nvidia made a "large-scale" investment after understanding some of SSI's research progress, but did not disclose the specific amount.As part of the collaboration, SSI will receive a significant amount of Nvidia's flagship GPU resources, with its computing power expected to increase by an order of magnitude. Previously, SSI primarily relied on TPU chips provided by Google for AI research and development. This collaboration indicates that Nvidia is further expanding its AI chip ecosystem and binding future computing power demands through investments in top AI laboratories.SSI was established in 2024 by Ilya Sutskever, with the goal of developing "Safe Superintelligence." The company has previously raised about $2 billion in funding, with investors including Andreessen Horowitz and Sequoia Capital, and reached a valuation of approximately $30 billion last year. This is not Nvidia's first investment in an AI company founded by former core members of OpenAI. In March of this year, Nvidia also invested in Thinking Machines Lab, founded by former OpenAI chief technology officer Mira Murati, whose first AI model is trained on Nvidia hardware.Ilya Sutskever is one of the important researchers in the field of modern artificial intelligence, having co-founded OpenAI and promoted the development of large model technologies such as ChatGPT. However, after leaving OpenAI, he began to question the approach of solely relying on expanding data and computing power to drive AI progress, turning instead to explore new directions in superintelligence research.

Gate releases the 2026 semi-annual report on wealth management: Yubibao's scale remains stable, with dual-currency investment APY reaching up to 295%

Gate officially released the 2026 Wealth Management Semi-Annual Report. The report shows that the overall cryptocurrency market faced pressure in the first half of the year, with BTC and ETH dropping approximately 33.1% and 47.1%, respectively, and market risk appetite continued to decline. Against this backdrop, user demand for stable returns and high liquidity assets has continued to rise.Gate's Yubi Treasure position size remained stable at 2 billion USDT, with funds gradually shifting towards demand for liquidity management. At the same time, the GUSD minting rate has stabilized, with funds mainly flowing into on-chain earning scenarios, continuously demonstrating the value of income-generating stable assets. In terms of advanced wealth management, Gate's dual-currency investment maintains an industry-leading advantage, with the low-buy strategy achieving a 0-day term APY of up to 295%, significantly higher than the market average of 166%. Gate's quantitative fund continues to perform steadily, with the interstellar hedge (USDT) achieving a cumulative return of 18.7%. In asset allocation, Gate's stock holdings continue to optimize, with the proportion of Korean stocks rapidly increasing following their launch, accounting for about 75% of the overall holdings by the end of June. The top ten holdings are mainly concentrated in semiconductor and technology growth assets, with SK Hynix holding the largest position. Additionally, Gate's GUSD minting annualized rate reached 3.8%, supporting users to participate in diverse ecological scenarios such as Launchpool and Pre-IPOs; Yubi Treasure USDT wealth management VIPs can enjoy an annualized return of 4.0%.In the future, Gate will continue to improve its wealth management system covering stable wealth management, enhanced returns, and multi-asset allocation, providing more flexible and efficient asset appreciation solutions for users with different risk appetites, helping users achieve long-term value growth amid market cycle changes.

Grayscale: The Bitcoin covered call option strategy has an annualized return of about 22% in a sideways market

Grayscale's research director Zach Pandl stated that if the price of Bitcoin has formed a solid bottom but is consolidating before recovery, a covered call strategy can generate income through Bitcoin volatility while managing spot price exposure. Grayscale assumes a Bitcoin spot price of $65,000 and an implied volatility of 40%, projected until the end of 2026. Under this assumption, the covered call strategy has an annualized return of about 22%, remaining profitable above a breakeven price of approximately $58,500, and outperforming holding spot Bitcoin alone when Bitcoin reaches about $72,500 at expiration.Pandl pointed out that option premiums provide income and downside protection, at the cost of giving up some upside potential when Bitcoin rises significantly. If the Bitcoin spot price falls below the breakeven price, the strategy will still incur losses, but the extent of the loss will be less than directly going long on spot Bitcoin, with the difference equivalent to the call option premium. Grayscale's Grayscale Bitcoin Covered Call ETF, with the ticker BTCC, aims to maximize income generation potential through writing covered calls. The fund does not directly invest in digital assets or initial coin offerings but gains indirect exposure to digital assets through derivatives related to exchange-traded products that hold digital assets.

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.
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