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San Francisco AI startup Deep Cogito launches the Cogito v2 series of open-source large models, focusing on machine intuition and self-improvement capabilities. The series includes four dense and mixture-of-experts models with 70B to 671B parameters. The flagship 671B MoE model has a reasoning efficiency that is 60% higher than DeepSeek R1, and its performance is close to Claude4Opus. Its core technology involves internalizing reasoning paths into model weights through introspective reasoning, enabling continuous evolution while in use. Tests show that the model can

A latest report from Menlo Ventures shows that Anthropic has surpassed OpenAI with a 32% share in the enterprise AI market (25% for OpenAI), achieving a major turnaround. Two years ago, OpenAI held half the market, but now its share is continuously declining. Anthropic has achieved a 42% market share in the programming field with its Claude 3.5/3.7 series models. The report points out that companies tend to prefer closed models, with only 13% using open-source solutions. Although OpenAI maintains an advantage in the consumer segment (processing 2.5 billion requests daily).

The StepZen team announced that their latest generation foundational large model, Step3, is officially open-sourced. Step3 is a model designed for enterprises and developers who pursue the optimal balance between performance and cost, aiming to create the most suitable model for the inference era. The open-source address of this model includes GitHub, Hugging Face, and ModelScope, allowing developers to freely download and experience it. Step3 adopts an MoE architecture, with a total parameter count of 321 billion and an activated parameter count of 38 billion. It

The intelligent agent economy is reshaping the future business ecosystem, with its core being a new economic form built on multi-agent collaborative architecture (IA). Three pillars support this transformation: Decentralized Identifiers (DID) ensure the credible existence of agents as digital citizens; standardized communication protocols (such as MCP) enable seamless collaboration among agents across domains; data containers combined with privacy computing technologies ensure secure data flow. Blockchain and smart contracts form the underlying trust system, driving the creation of a decentralized value network. Agent factories achieve scalable production of agents through modular manufacturing.

Volc Engine launched new models and service upgrades in the Dabao series at the Xiamen AI Innovation Tour: 1) Introduced the Image Editing 3.0 model, supporting natural language photo editing; 2) The Simultaneous Interpretation 2.0 model reduces latency to 2-3 seconds and supports voice replication; 3) Upgraded the Dabao large model 1.6 series, with the ultra-fast version TPOT taking only 10ms and reducing costs by 70%; 4) Open-sourced core capabilities of the Kousi development platform, which received over 10,000 stars in three days; 5) Launched an enterprise-owned model hosting solution, simplifying the deployment process. These upgrades provide full-stack support for enterprise AI applications, accelerating implementation.

Google's NotebookLM introduces video summaries, converting complex info into narrated slides. It auto-generates videos from user-uploaded images/charts. Demoed at I/O 2025, the feature will roll out gradually. Currently English-only, multilingual support planned.....

OpenAI launches ChatGPT Study with interactive prompts and scaffolding responses for systematic learning across subjects. Available to all users, with an Edu version coming soon. Educators see potential to transform teaching methods.....

Perplexity company launches an AI browser called Comet, which transforms YouTube videos into interactive learning tools. Users can pause videos at any time to ask questions, and the AI assistant provides instant answers and supplements related knowledge, enabling a shift from passive watching to active learning. This tool is especially suitable for complex subjects, as it optimizes answers based on user habits and offers personalized learning paths. Its deep integration with the browser environment makes responses more contextually relevant. Although still in the testing phase, it has already shown the potential to revolutionize the way education is delivered.

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

Recently, Tmall Elf officially announced the launch of the new Wow AI Sister Machine Smart Version. This new product features a large AI screen, offering excellent audio and visual experience and smart functions. Upon its release, it immediately attracted the attention of many consumers, and now it is available for reservation across all channels. The Wow AI Sister Machine Smart Version offers users three versions to choose from, meeting different needs. The 6+128GB version has a promotional price of 3,699 yuan, the 6+256GB version is priced at 3,999 yuan, and the long-lasting battery version is 4,399 yuan.

Alibaba announced three open-source large models at the 2025 World Artificial Intelligence Conference. These include the Qwen full-size, multi-modal model, all of which have received the highest honors in the global open-source field. Alibaba demonstrated its full-stack AI capabilities and plans to invest 38 billion yuan over three years to build cloud and AI infrastructure. The Alibaba Cloud BaiLian platform has gathered 200,000 developers who have created over 700,000 intelligent Agents. These initiatives will promote the development of AI applications and strengthen Alibaba's leading position in the AI field.

China leads global AI with 40% of models. GenAI breakthroughs expected by 2025, with 80.9% adoption. Market to hit $100B+ in 2024, growing 20%+. DeepSeek hit 30M DAU, China holds 60% of AI patents, expanding globally.....

Tencent unveiled the 1+3+NAI comprehensive system at the 2025 World Artificial Intelligence Conference, with the Hunyuan large model as its core, launching innovative technologies such as the Hunyuan 3D World Model and the embodied intelligence platform Tairos. The system includes three platforms: an intelligent agent development platform for B/C ends, an embodied intelligence platform in the robotics field, and an AI application matrix covering multiple industries, comprehensively showcasing Tencent's AI strategic upgrade. By driving with core models and combining with diverse applications, it provides a complete solution for AI industrialization.

During the 2025 World Artificial Intelligence Conference, SASAC launched the AI Renewal Community open-source platform, jointly initiated by 25 central state-owned enterprises, private companies, and universities. The platform focuses on six key functions including computing power, models, and data. It has aggregated 244 industry models and 158 high-quality datasets, and has established special zones for domestic production and embodied intelligence, promoting the development of the domestic AI ecosystem.

DailiCode, an open-source AI tool on GitHub, enhances Gemini CLI with support for 15 major models like Gemini-2.5-pro. It offers code queries, PDF processing, PR automation, and Discord bot deployment. Requires Node.js for easy npx installation.....

The Qwen-MT machine translation model is officially released. Qwen-MT is based on the powerful Qwen 3 model, and has been trained on a massive amount of multilingual and translation data. It combines reinforcement learning technology to significantly improve the accuracy and fluency of translation results. Developers can experience its fast and accurate translation capabilities directly through the Qwen API (qwen-mt-turbo). The core highlights of Qwen-MT include supporting bidirectional translation between 92 languages, covering more than 95% of the global population, and meeting a wide range of language communication needs.

Brazilian programmer won $50K in K Prize AI contest with only 7.5% accuracy, revealing AI model limits. $1M prize offered for 90% accuracy in GitHub-based test.....