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Poe launches a developer API supporting 100+ multimodal AI models, offering subscription plans ($4.99-$249.99/month) and pay-as-you-go credits ($30/1M). Developers can integrate AI into tools, with budget management features coming soon.....

Ollama launches a desktop client, bidding farewell to the single command-line mode, supporting macOS system. The new version offers a graphical interface, multimodal recognition, and document drag-and-drop features, simplifying the model management process, and supporting local large language models such as Llama3. The client strengthens the advantages of local operation, ensures data privacy, and optimizes performance. The open-source community actively expands the ecosystem, with future plans to release cross-platform versions. This upgrade makes local AI tools more user-friendly, providing developers and general users with more diverse application scenarios.

SenseTime signed a strategic agreement with Chenghai District in Shantou to jointly build the country's first AI + Toy Industrial Base. As a globally renowned toy production base, Chenghai has an annual output value exceeding 50 billion yuan, and will leverage SenseTime's AI technology to achieve intelligent industrial upgrades. The cooperation includes establishing three centers and ten platforms, covering three directions: AI solutions, industry development, and innovative integration, promoting the intelligent transformation of toy design and manufacturing. This collaboration will help Chenghai move from a manufacturing powerhouse to a smart manufacturing powerhouse, creating a Chinese model for intelligent transformation in the global toy industry.

Kunlun Wildfire releases the open-source multimodal pre-training model Skywork UniPic, integrating three functions: image understanding, text-to-image generation, and image editing. The model uses an autoregressive training approach, trained on large-scale high-quality data, and has strong generalization and transfer capabilities. Its open-source nature facilitates secondary innovation by developers and can be widely applied in content creation and industry scenarios. This is a significant move by Kunlun Wildfire in the AI field, which will promote the development and popularization of multimodal technology.

Shanghai AI Lab releases the open-source scientific multimodal large model Intern-S1, surpassing existing top models in scientific research fields such as chemistry and materials. The model has cross-modal scientific analysis capabilities, able to interpret complex data such as molecular formulas and protein structures, and also launches a dedicated scientific discovery platform called Intern-Discovery. Intern-S1 will promote the development of multi-agent disease research systems and continue to open-source to support scientific progress.

VLM2Vec-V2, a multimodal embedding framework developed by Salesforce Research and other institutions, breaks through the limitations of traditional models. Based on the Qwen2-VL architecture, this framework innovatively unifies image, video, and visual document retrieval tasks. It adds five new evaluation tasks to expand the MMEB dataset. With key technologies such as dynamic resolution and M-RoPE, it achieved an average score of 58.0 across 78 datasets, leading in performance, especially in video tasks. Although its document retrieval is slightly behind ColPali, it

5ire is an open-source, cross-platform desktop AI assistant for Windows, macOS, and Linux. It supports OpenAI-style APIs, local knowledge bases, prompt libraries, and chat history search. Features MCP protocol for tool automation, document vectorization, and local RAG retrieval, offering developers a free, efficient tool for AI interaction and token optimization.....

Mita AI Search announced the official launch of its search API, offering developers a new alternative to Bing Search API. With the upcoming shutdown of Bing Search API in August 2025, Mita's initiative undoubtedly brings new hope to many enterprises and developers who rely on search APIs. Over the past year, Mita has built a multilingual index database with hundreds of billions of entries, which has been tested through daily millions of calls in Mita AI Search. Now

Kuaishou and Shanghai Jiao Tong University announced the open-source multimodal generation model Orthus at the ICML conference. The model is based on an autoregressive Transformer architecture and demonstrates excellent performance in text-image conversion tasks, with significantly improved computational efficiency compared to existing models. Orthus uses a unique architectural design, separating processing of text and image features through specific modal generation heads, and efficiently fusing them in a unified representation space. Research shows that the model outperforms professional models in image understanding and text-to-image tasks, while also demonstrating strong potential in application scenarios such as image editing, making it a breakthrough in multimodal generation.

Ant Digital built Suzhou's first AI data hub in Taicang, providing high-quality training data for manufacturing, finance, and healthcare in Yangtze River Delta. Expert teams with bachelor+ degrees offer precise labeling across multiple fields. Using self-developed annotation tools with automated QA, it serves 10+ scenarios like fintech and autonomous driving. Plans include expanding to 300 staff and university partnerships.....

Mistral's Le Chat AI chatbot upgraded with deep research mode, enhanced security, multilingual support, and new project/image tools to rival OpenAI.....

Mistral AI launches Le Chat, challenging ChatGPT with features like deep research mode, voice interaction, and advanced image editing.....

Mistral AI's chatbot Le Chat has received a major update with five core features now available: 1) Deep Research mode that intelligently breaks down complex questions and generates structured reports; 2) Voice input feature based on the Voxtral model for natural conversation; 3) Thinking mode using the Magistral model to handle complex reasoning; 4) A text-to-image modification feature developed in collaboration with the Black Forest Lab; 5) New project management tools to organize conversations and files. These features are now available on both web and mobile platforms, significantly enhancing AI capabilities.

ByteDance's visual AI head Yang Jianchao steps down due to workload and family reasons, succeeded by ex-Alibaba M6 lead Zhou Chang. ByteDance reassures stability in Seed visual model team's global R&D.....

OpenAI ex-CTO's AI firm Thinking Machines Lab raises $2B seed at $12B valuation, focusing on multimodal AI for public benefit, with plans for open-source components and human-aligned AGI.....

The Ima web version is officially launched. Users can access the knowledge base through a browser, solving issues with software downloads and system compatibility. The new version supports features such as highlighted notes and pop-up Q&A, making it more convenient and efficient. The team will continue to introduce convenient features, and users can mark it as a favorite to stay updated. The web version makes accessing knowledge more flexible and efficient, suitable for various usage scenarios.

The Silicon Base Flow platform has launched the open-source MoE model Kimi K2 developed by Moonshot AI. The model has a total of 1T parameters and 32B activated parameters, supports a context length of 128K, and performs excellently in coding and agent tasks. The pricing is 4 yuan per million tokens for input and 16 yuan per million tokens for output. New users can get 14 yuan in trial credit upon registration. The model has three technical advantages: 15.5T tokens of large-scale training, MuonClip optimizer for stable expansion, and design optimized for agent tasks. Tests show that it excels in coding

vivo launches BlueLM-2.5-3B, a 2.9B parameter multimodal model excelling in GUI understanding, text processing, and logical reasoning. It features dual thinking modes and efficient training for cost-effective deployment.....

Shanghai Jiao Tong University and DP Technology's X-Master AI system set a 32.1 record in the HLE test, featuring tool-enhanced reasoning and multi-agent collaboration for biomedical breakthroughs.....