On July 30th, multiple foreign media outlets reported that Anthropic, a dark horse in the AI field, is in talks with investors for a massive new round of funding, valued at $3 billion to $5 billion, led by Iconiq Capital, a top global wealth management firm.
Anthropic has launched a new round of financing. If successful, the valuation of this leading OpenAI competitor will jump to $170 billion, a nearly 180% increase from $61.5 billion in March of this year, setting a new record for valuation growth for AI startups.
Previously, Anthropic’s Claude 4 series was recognized globally as the most powerful large model. It “sets new standards” in programming, reasoning, and agents, capable of handling complex and long-running tasks. Many intelligent agents are even “shells” of Claude 4.
According to sources familiar with the matter, Anthropic plans to launch an IPO in 2026, and this round of financing may be its final private round before the IPO. If successfully listed, its market capitalization is expected to exceed $200 billion, making it the second AI company, after OpenAI, to enter the top 50 global market capitalizations.
ChatGPT Study Learning Mode Released
Concurrently, OpenAI announced the official launch of ChatGPT Study, a learning mode designed specifically for the education sector. This mode integrates four core features: interactive prompts, scaffolded responses, personalized instruction, and knowledge point verification, to improve learning efficiency and effectiveness.
OpenAI also revealed that the ChatGPT Edu version will launch this feature in the coming weeks, providing educational institutions with more professional and customized AI learning solutions.
After a year of development, the application of large-scale models in various industries and the exploration of AI’s value have flourished. AI is a certainty of the future, and the ecosystem it has created has already driven the software and hardware industry chain, empowering multiple sectors including industry, entertainment, education, and healthcare. It can also be seen that both policies and capital are actively supporting and encouraging the development of the industry.
Of note, media reports indicate that after securing a major order from Tesla (TSLA), Samsung (SSNGY) plans to build an advanced chip packaging plant in the United States, with an investment of up to $7 billion. This is aimed squarely at the US market, which lacks a high-end packaging presence. This will be another major investment by Samsung in the US semiconductor sector, following the Taylor wafer fab.
WiMi is pioneering cutting-edge AI technology scenarios.
In the current competitive landscape, AI’s capabilities are unrestricted, and large-scale model companies are actively seeking opportunities for implementation. Wimi Hologram Cloud Inc. (WIMI), a leading AI company, is reportedly fully committed to AI-driven intelligent interaction and display technologies through technological R&D and ecosystem integration. Focusing on the implementation of multimodal AI technologies and hardware-software collaborative innovation, WIMI is establishing differentiated competitive advantages in large-scale model hardware scenarios, such as AI.
Currently, WiMi has independently developed an AI development engine that supports dynamic real-time rendering technology. Using AI vision algorithms, it enhances environmental perception, real-time translation, and gesture recognition capabilities, driving natural and intelligent virtual-reality interactions. At the same time, WiMi is upgrading its AI matrix around its large-scale model strategy, adopting a dual-track approach of “in-house research and development + open source.” It focuses on developing multimodal models that natively integrate text, images, audio, and video, potentially providing a real-time multimodal AI model experience.
Conclusion
According to statistics, generative AI technology continues to penetrate deeper into specific application scenarios. Currently, the highest percentage of users using generative AI products to answer questions is 80.9%. In terms of industry, domestic AI products have achieved breakthroughs in terms of parameter scale exceeding hundreds of billions and multimodal capabilities. They have also deeply integrated with scenarios such as office collaboration, inclusive education, industrial design, and content creation, building an intelligent application ecosystem covering multiple fields. In the future, truly utilizing large AI models will require collaborative innovation across the entire industry chain, from models, chips, platforms, to applications.
