multimodal

On August 6, OpenAI first released usage data of ChatGPT across various countries, showing significant differences in usage across different scenarios, ages, and regions. In work scenarios, users utilizing ChatGPT for execution tasks (writing, editing, analyzing, etc.) accounted for over 50%, more than twice that of non-work scenarios; non-work scenarios are still primarily focused on "information retrieval." By age group, the proportion of messages from users over 35 years old globally increased by 5 percentage points year-on-year, with France and the Czech Republic seeing increases of over 10 percentage points. Nearly three-quarters of European countries exceeded the global average increase, while some regions in Southeast Asia saw smaller increases.Regionally, Latin America, Africa, and Oceania are narrowing the gap with early adopters, with Peru, Uruguay, and Costa Rica showing the fastest rankings rise. Multimodal (such as image generation and analysis) is the fastest-growing use case, with its global share rising to 7.8%, exceeding 10% in countries like Brazil and Colombia. OpenAI stated that the relevant data has been made public through the OpenAI Signals platform, aimed at helping policymakers and researchers understand the usage trends of over 1 billion users.

According to Jinshi reports, Microsoft plans to maintain a multimodal strategy, allowing customers to use models from OpenAI or Anthropic in a way that better meets their needs.

The AI service platform B.AI announced that it has completed the underlying access to MiniMax's next-generation multimodal large model M3, and it is now available for API and web access.It is reported that the MiniMax M3 model is based on the MSA sparse attention mechanism, natively supports multimodal understanding, code generation, and parsing, and has a 1M context window and long text reasoning capabilities, covering various application scenarios from dialogue to professional development. Currently, developers and users can directly access and use this model through the B.AI platform.

Alibaba (09988.HK) mentioned in its financial report that it is continuously expanding the boundaries of AI capabilities through deep innovation. Recently, by launching a series of brand new large language models and multimodal models, we have made significant progress in model intelligence. In March, we released Qwen3.6-Plus, achieving a remarkable overall performance improvement, particularly excelling in programming and agent programming, becoming an industry benchmark in front-end web development and complex warehouse-level tasks.Qwen3.6-Plus also possesses stronger multimodal perception and reasoning capabilities, with a native context window length supporting up to 1 million tokens, further enhancing stability and reliability. In addition to the Qianwen model family, we are also continuously enriching our specialized model layout, including the world model HappyOyster that supports real-time creation and interaction, as well as the multimodal model HappyHorse for video generation, both of which are currently undergoing gray testing.

According to the official account of Gemini @GeminiApp, Google has officially launched the next generation AI model Gemini 3, which features a million token context window, multimodal understanding capabilities, and supports unified analysis of video, audio, images, and text.The new version introduces Gemini Agent, which can complete multi-step tasks under user guidance, currently available for testing to Ultra users in the United States. Gemini 3 has been launched globally, and student users can try the Pro plan for free for one year.

ChainCatcher news, the Shanghai Municipal Commission of Commerce and ten other departments and units have issued the "Several Measures for Promoting Cross-Border Trade Facilitation at Shanghai Port by 2025." The Shanghai Port is set to carry out this year's special action to promote cross-border trade facilitation from now until the end of August 2025, continuously advancing the reform of the business environment in the international trade sector. Among the proposals is the optimization of the logistics transportation network at Shanghai Port.Relying on systems such as the International Container Transportation Service Platform (MaaS), leveraging blockchain technology to empower collaborative cooperation in international logistics multimodal transport. Accelerate the development of the "one order" and "one container" system for multimodal transport. Promote the construction of the inland waterway transport system and accelerate the creation of direct river-sea channels. Continuously advance regulatory models such as "coordinated unloading" and "departure confirmation" to enhance regional logistics efficiency.

ChainCatcher news, focusing on the innovative project EPHYRA, an AI-driven game companion, today announced the completion of a $5 million strategic financing round, with investment from the well-known gaming community joint fund in Japan and South Korea, Play & Connect Capital (PCC). This financing will be used to deepen the development of the AI interaction engine, expand into the Asia-Pacific market, and strengthen the gaming IP cooperation ecosystem.A PCC spokesperson stated that EPHYRA's distributed decision-making framework and adaptive learning system break the scene limitations of traditional AI agents: "Its technology not only supports gaming scenarios but can also be transferred to fields such as financial analysis, intelligent customer service, and industrial automation. We are optimistic about its potential to become the 'AI decision-making hub' for enterprise digital transformation."

ChainCatcher news, TensorOpera AI, another company co-founded by ChainOpera co-founder Salman and Aiden, has reached a strategic partnership with Samsung Electronics, showcasing groundbreaking innovations in multimodal generative AI applications on mobile devices.At CES 2025, TensorOpera AI announced its strategic collaboration with Samsung Electronics to achieve breakthrough applications of multimodal AI on mobile devices based on the Exynos processor. This technology enables low-latency, high-performance AI Agent operations on smartphones by optimizing Android applications and C++ inference pipelines, while ensuring privacy and personalized services.As a company within the ChainOpera ecosystem, TensorOpera shares its founding team and technical architecture, utilizing edge-cloud collaborative technology to reduce AI service costs to 10% of the industry standard. Currently, ChainOpera's AI Terminal has served over a million users, achieving cloud-edge-device three-tier linkage driven by LLM."We are pushing the potential of edge-cloud collaboration to the extreme," said co-founder Salman. The two companies are leveraging a hybrid edge-cloud architecture, combining blockchain and decentralized AI technologies to continuously expand the boundaries of edge intelligence. This collaboration marks a new phase in the large-scale application of mobile AI Agent technology.

ChainCatcher news, according to Jinshi reports, the artificial intelligence community Hugging Face shows that DeepSeek has just released the open-source multimodal AI model Janus-Pro.Among them, Janus-Pro-7B has outperformed OpenAI's DALL-E 3 and Stable Diffusion in the GenEval and DPG-Bench benchmark tests.

ChainCatcher news, Google announced that Snap has deployed multimodal features powered by Google Cloud's generative AI technology in its "My AI" chatbot, which is now available to Snapchat users in the United States. Google also announced the launch of a customer interaction suite that combines the capabilities of contact center AI solutions with generative AI capabilities. (Jinshi)

ChainCatcher news, Google announced the launch of its artificial intelligence model "Gemini," developed by the Google DeepMind team. It is reported that Gemini is designed to be multimodal, capable of understanding and processing different types of information such as text, code, audio, images, and video. The Gemini model is divided into three different scales: Ultra, Pro, and Nano. The Ultra version is aimed at complex tasks, the Pro version is suitable for a wide range of tasks, and the Nano version is optimized for tasks on mobile devices.Currently, Gemini has begun to be promoted and applied in several Google products and platforms. For example, Google Bard will use an improved version of Gemini Pro, while the Pixel 8 Pro will be the first smartphone to adopt Gemini Nano. Additionally, starting from December 13, developers and enterprise customers will be able to access the Gemini Pro API through Google AI Studio or Google Cloud Vertex AI to develop and deploy Gemini-based applications.