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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.

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

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.

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.....

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.....

Open-source multimodal model EarthMind, designed for Earth observation data, uses spatial attention for precise localization and cross-modal fusion to integrate optical and radar data, supporting multi-granular analysis for disaster monitoring and urban planning.....

In the new energy vehicle market, Xiaopeng Automotive has once again drawn attention. On July 3rd, the Xiaopeng G7 Ultra was officially launched, becoming the first intelligent vehicle equipped with the local-end "VLA+VLM" large model. This innovative technology marks an important step forward for Xiaopeng in the field of intelligent driving. The Xiaopeng G7 Ultra is equipped with the VLA (active thinking and rapid decision-making capability) large model, making the driving experience more intelligent. In daily driving, the G7 Ultra can flexibly handle various complex driving scenarios, such as in traffic.

Zhipu AI officially open-sources its latest general vision model, GLM-4.1V-Thinking, based on the GLM-4V architecture, which introduces a chain-of-thought reasoning mechanism, significantly enhancing its capabilities for complex cognitive tasks. The model supports multimodal inputs such as images, videos, and documents, and excels in diverse scenarios including long video understanding, image question answering, subject problem-solving, text recognition, document interpretation, grounding, GUI Agent, and code generation, covering a wide range of industry application needs. GLM-4.1V-9B-Thinking

Welcome to the AIbase [AI Daily Report] section! Spend three minutes a day to learn about the latest AI events, helping you understand AI industry trends and innovative AI product applications. For more AI news, visit: https://www.aibase.com/zh1. Baidu officially releases the WENXIN Large Model 4.5 series and fully opens it to the public, featuring ten new models with various parameter configurations. These models are trained and inferred using the PaddlePaddle framework, achieving a FLOPs utilization rate of 47%, and perform well in multi-modal text tasks.