「AI股神难自保」：Leopold寻求融资，Serenity早已回撤50%
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Serenity: High-beta stocks typically fall first during a broad correction but also recover earlier.
According to Mars Finance, on June 26th, Serenity published an article stating that the global financial markets are currently experiencing a widespread correction, and it is still impossible to determine when it will end. Major Asian stock indices are generally under pressure, with the South Korean KOSPI falling 8.18%, the Japanese Nikkei 225 falling 4.8%, and the Taiwan Weighted Index falling 3.82%. Meanwhile, high-growth stocks that had previously seen significant gains have also suffered heavy losses, with individual stocks such as SOI and RKLB experiencing cumulative declines of 30% to 40% recently. Historically, high-beta stocks typically lead the broader market into correction phases and tend to experience larger declines, but they are also often the first to rebound after the market stabilizes. Apart from the already volatile South Korean market, when major stock indices experience a single-day decline of 3% to 4%, it usually indicates that market risk appetite is rapidly cooling, and the short-term market environment is often quite challenging.
SHAZ shares rose 14% in after-hours trading after Leopold Aschenbrenner's fund acquired an additional 19.9% stake.
According to Odaily Odaily, based on monitoring by blockchain analyst Ai Yi, on June 29th, SHAZ announced the completion of a $1.6 billion funding round to support its six-year strategic partnership with Nvidia. Eleven hours earlier, a fund managed by Leopold Aschenbrenner announced it had acquired an additional 19.9% stake in SHAZ. The former saw a 1.45% increase, while the latter rose 14% in after-hours trading. The SEC requires funds holding more than 5% of SHAZ's shares to file a public report.
Serenity: Global markets are undergoing a correction, and the duration is unknown.
Odaily Odaily reports that Serenity, the "white-haired stock guru," posted on the X platform that global markets are currently undergoing a correction, and it's uncertain when it will end. The South Korean KOSPI index fell 8.18%, including SK Hynix and Samsung. The Nikkei 225 index fell 4.8%. The Taiwan Weighted Index fell 3.82%. SOI and RKLB fell 30% to 40%. From personal experience, high-beta stocks are hit much harder, but they usually lead the broader market decline and recover much faster. Aside from the typically volatile South Korean market, when major indices start falling 3% to 4% daily, it's generally not a good time to buy.
Serenity: Funds in China's primary market are flowing into physical AI and world models, with funding for cutting-edge models concentrating on leading companies.
According to Mars Finance, on July 3rd, Serenity published an article stating that, based on AI investment in China's primary market, institutional funds are flowing towards embodied intelligence, physical AI, and world models. The article cites approximately $23.56 billion in funding for large-scale models/LLMs, $15.74 billion for AI infrastructure and technology layers, $13.36 billion for embodied intelligence/physical AI, $8.79 billion for AIGC applications, and $3.82 billion for autonomous driving and other Top-20 clusters. However, this figure is not entirely comparable to the aforementioned categories. Early-stage, purely basic model funding has essentially closed, with more funds flowing to established leading companies and world model companies. The article believes a similar trend may emerge in the US market, with funds concentrating on leading companies like Anthropic and OpenAI, and that "world models have become the biggest consensus in early-stage investment." Several months ago, Serenity believed that 4D AI/world modeling would be the most noteworthy area to watch, mentioning that AEVA might offer exposure to this sector. However, there are currently no clear pure-play targets in the market, and we may need to wait for the next batch of IPOs in this field. Serenity stated that AIGC applications are the most mature area of AI technology commercialization, but there are currently no clear winners. Funds continue to flow into AI infrastructure and the semiconductor supply chain, while a large amount of capital is rotating into physical AI, embodied intelligence, humanoid robots, and world modeling, with cutting-edge modeling continuing to concentrate on leading companies.
"White-haired stock market guru" Serenity: Semiconductor supply chain bottlenecks are worsening, and packaging and testing manufacturers are raising prices.
According to Odaily Odaily, Serenity, a well-known stock market guru, summarized recent semiconductor industry developments on the X platform, stating that multiple signs indicate a tightening semiconductor supply chain. Citing institutional and industry sources, he pointed out that Morgan Stanley has revised its 2026 shipment forecast for Chinese humanoid robots from 14,000 and 28,000 units at the beginning of the year to 50,000 units; probe cards and test sockets are expected to see price increases due to rising precious metal prices and a shortage of test pin capacity; and Yageo has raised prices for products such as MLCCs, aluminum electrolytic capacitors, tantalum capacitors, polymer aluminum capacitors, film capacitors, and supercapacitors. In addition, Serenity stated that Meta's next-generation Vistara architecture will use DDR4 memory combined with CXL expansion; OpenAI has reportedly made a breakthrough in inference optimization, halving inference costs and reducing GPU requirements; and after Samsung signed long-term supply agreements (LTAs) with major US technology customers, MLCCs have also begun to adopt the long-term agreement supply model. The report also cited Digitimes, stating that OSAT (Outsourced Semiconductor Testing and Assembly) vendors have begun raising prices, and that memory and IC packaging and testing capacity has become a major bottleneck in the semiconductor supply chain.
Serenity: The decade from 2020 to 2030 may become the fastest decade of technological progress in human history.
According to Mars Finance, on June 29th, Serenity published an article stating that the decade from 2020 to 2030 is poised to be the fastest-growing decade for technological development in human history. Reusable rockets are driving rapid development of orbital computing infrastructure, with companies like Rocket Lab and SpaceX continuously improving launch capabilities; Anthropic and OpenAI are propelling artificial intelligence towards general artificial intelligence (AGI) and even more advanced stages; humanoid robots from companies like Boston Dynamics and Unitree are making continuous progress, potentially gradually replacing some of the workforce. Furthermore, high-energy laser technology is expanding from the defense sector to AI data centers, Waymo and Tesla's self-driving technology continues to be implemented, and quantum computing is expected to achieve a breakthrough in commercialization by the end of this decade. The simultaneous industrialization of multiple cutting-edge technologies makes this a historically significant investment period.