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Poe launches the API feature, allowing developers to directly call all AI models and robots on the platform through subscriptions, including image and video processing capabilities. The API is compatible with the OpenAI interface, requiring no additional learning costs, and supports diverse needs such as text generation and creative content creation. The subscription model lowers the entry barrier, enabling developers to quickly integrate Poe's technological capabilities and explore the potential of AI applications. This update marks Poe's transformation from a chat platform to a developer tool.

DeepSeek affiliate company publicly disclosed a patent for deploying large language models, innovatively utilizing a distributed architecture: deploying the prefill and decode stages on high-performance computing and large-memory machines respectively. This method balances the load, reduces computational idle time, significantly lowering latency and increasing throughput. The patent highlights optimizations in system scalability and fault tolerance. Its MoE language model, DeepSeek-V3, has 671 billion parameters, with 37 billion parameters activated per token, which will promote the practical application of AI technology across industries. The core breakthrough lies in combining hardware resources effectively.

The Seed team of ByteDance announced the release of the experimental diffusion language model Seed Diffusion Preview, marking a major technological breakthrough in the field of language models. The model aims to validate the feasibility of the discrete diffusion technology route as a foundational framework for next-generation language models through structured code generation experiments. Seed Diffusion Preview has achieved significant improvements in inference speed, reaching 2146 tokens per second, which is 5 times faster than equivalent-scale autoregressive models.

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

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.

Step Star releases the next generation Step 3 large model, which will be open-sourced on July 31st. This 321B parameter multi-modal reasoning model performs outstandingly in intelligence and reasoning efficiency, supporting cross-domain knowledge understanding and visual analysis. The company has established the Model Chip Ecosystem Innovation Alliance in cooperation with chip manufacturers and reached a strategic cooperation with Shanghai State Capital, promoting the application of large models. Step 3 achieves 300% reasoning efficiency of competing products on domestic chips, with over 70% improvement in throughput, and has established a 1+N model matrix covering multiple fields. The model has achieved SOTA on multiple rankings.

Google launches an experimental AI tool called Opal, allowing users to create mini applications by simply describing their needs in natural language. The tool provides a visual editor that supports adjusting prompts, adding features, or using templates, enabling users without programming experience to quickly build prototype applications. Completed apps can be shared via links, and the tool is currently available only in the United States. This move aligns with the trend of no-code AI platforms, similar to emerging tools like Cursor and Lovable, aiming to lower the barriers to app development. Although still in the testing phase, Opal demonstrates Google's confidence in the future of natural language programming.

At the 2025 World Artificial Intelligence Conference, Wang Ai, Chief Product Officer of Honor, demonstrated the technical breakthroughs of the MagicGUI large model. This open-source large model enables the transformation of an intent-driven operating system, solves the challenges of cross-scenario adaptability, and builds an open AI terminal ecosystem. The technology can enhance the intelligence level of devices, achieve seamless user experiences, and support developers in innovating applications. Honor plans to promote the deep integration of AI with life, leading the development of intelligent lifestyles.

Microsoft CEO Nadella unveils a new strategy to transform the company into an 'AI engine' for 8 billion people, shifting from software to AI-powered platforms. He emphasizes democratizing digital tool creation in the AI era. Despite strong performance, Microsoft cut 15,000 jobs (4% of workforce) as necessary adaptation to tech shifts, likening it to 1990s PC transition.....

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.

Google launches Opal, a no-code AI tool that converts natural language into visual workflows using Gemini for tasks like image processing. It simplifies AI development for all users, currently in US beta.....

Google experts stated at Search Central Live that AI won't disrupt SEO fundamentals. AI functions within traditional search frameworks, keeping core rules unchanged. While SEO techniques remain the same, AI summaries reduce click-through rates for regular results, challenging website visibility and diminishing traditional sites' influence in AI-driven search ecosystems.....

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.....

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.....