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CITIC Construction Investment: Although the logic of AI computing power remains optimistic, volatility has intensified; it is recommended to be cautious in chasing high prices

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

FTC approves Musk's acquisition of Mesh antitrust application, involving AI data center optical network layout

According to the latest disclosure by the Federal Trade Commission (FTC), Musk has obtained antitrust approval for the acquisition of the optical network startup Mesh Optical Technologies, which means the FTC has completed a rapid antitrust review and will not challenge the transaction on competitive grounds, clearing a major regulatory hurdle for the advancement of the deal. However, it has not yet been disclosed whether the transaction has been signed or completed.Mesh was founded by former SpaceX engineers, and its core product is optical transceivers for AI data centers, which can improve energy efficiency, reduce latency, and enhance reliability compared to traditional network hardware, in order to meet the demand for millions of optical connections brought about by the growth of AI computing clusters. The founding team was involved in the development of the laser communication system for SpaceX's Starlink satellite network and plans to deploy optical communication technology into space in the future, adapting to the inter-satellite laser communication needs of orbital data centers and AI satellite networks. The company completed over $50 million in financing led by Thrive Capital in February of this year.Acquiring Mesh is one of SpaceX's initiatives to strengthen the competitiveness of large-scale computing clusters. Currently, SpaceX has listed AI computing power as a core business segment, and its xAI has been operating a total of approximately 1GW computing power with the Colossus and Colossus II training clusters, making it the first company to deploy coherent gigawatt-level AI training clusters; among them, Colossus II will add over 400MW of computing power and introduce over 220,000 GB300 chips. It has signed computing power cooperation agreements with Anthropic, Google, Reflection AI, and others, directly competing with large-scale cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud. This year, SpaceX has also reached a Terafab chip manufacturing plan with Tesla and Intel, extending its vertical integration capabilities in chip design and manufacturing.In the past week, SpaceX's stock price ended its upward trend, closing at $153.23 per share, down over 32% from its peak of $225.64 per share.

OpenAI has launched the next generation GPT-5.6 series models, currently available only to trusted partners using Codex and the API

According to official news, OpenAI has officially launched the preview version of the next-generation GPT-5.6 series models, including the flagship model Sol, the balanced model Terra, and the fast low-cost model Luna. GPT-5.6 introduces a brand new maximum reasoning effort and features a super strong mode that accelerates complex tasks through sub-agents.The flagship model Sol introduces the Ultra mode, which combines maximum reasoning intensity with sub-agent collaboration. In the Terminal-Bench 2.1 command line workflow test, Sol achieved a score of 88.8%, which increased to 91.9% in Ultra mode, surpassing GPT-5.5's 83.4% and Claude Fable 5's 88.0%. The mid-range model Terra performs close to GPT-5.5 while being priced at half, and the lightest model Luna is designed specifically for everyday automation tasks. Sol is priced at $5 per million input tokens and $30 for output, and it supports reducing secondary call costs by utilizing prompt caching.In terms of security, the security assessment confirmed that Sol did not exceed the critical thresholds of the Preparedness Framework cybersecurity. OpenAI has invested over 700,000 A100 equivalent GPU hours in automated red team exercises, equipping the entire series of models with a defense stack that includes rejection mechanisms, real-time abuse classifiers, and account-level audits. Although the current limited release follows the U.S. government's security framework, OpenAI emphasizes that it does not want a government-led access mechanism to become the long-term default model, as it would limit defenders' access to cutting-edge tools.
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