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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.

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 Qwen3-30B-A3B model has undergone a major update, launching the new version Qwen3-30B-A3B-Thinking-2507. This new version has achieved significant improvements in reasoning capabilities, general abilities, and context length, marking that the model is not only lighter but also has stronger thinking capabilities. Compared to the Qwen3-30-A3B model open-sourced on April 29, the new model has made progress in multiple key areas. In terms of mathematical abilities, Qwen3-30B-A3B-Thin

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.

Zhipu launches the open-source large model GLM-4.5 series, available in two versions with 355 billion and 106 billion parameters, using a MoE architecture and following the MIT license. The model ranks second globally and first domestically in 12 benchmark tests, particularly excelling in tool calling and task completion. It supports complex tasks such as code generation and 3D interaction. API pricing is affordable (0.8 yuan per million tokens). Although the parameter count is only 1/2 to 1/3 of competitors, it achieves efficient performance through 15 trillion token pretraining.

Zhipu AI releases its next-generation flagship model, GLM-4.5, which achieves native integration of reasoning, coding, and agent capabilities. It uses a MoE architecture to provide high parameter efficiency. The model performs excellently across 12 authoritative evaluation benchmarks, achieving the third place globally and the first in domestic rankings. The model supports dual-mode operation, with training data reaching 2.3 trillion tokens, and offers competitive API pricing. GLM-4.5 is compatible with mainstream code frameworks, possessing full-stack development capabilities. It is now open-sourced on multiple platforms and provides an experience. Its technological breakthroughs and cost-effectiveness are expected to drive

Zhipu AI will officially launch the new large model GLM-4.5 online tonight, focusing on its performance parameters, technical highlights, and open-source plan. The industry is paying attention to whether this model can bring breakthroughs in multimodal capabilities and the open-source ecosystem.

Netflix used generative AI in 'El Eternauta' to speed up building collapse effects by 10x, cutting costs and time. The show, with 2000 VFX shots, was well-received. While AI enables advanced effects for creators, it sparks debate over job losses and artistic quality. Netflix previously faced criticism for AI voice cloning, as rivals like Amazon explore AI in filmmaking. AI reshapes production but balancing efficiency and artistry remains a challe....

Netflix has for the first time extensively applied AI technology in the Argentine science fiction series 'Eternals,' using AI to assist with special effects scenes such as building collapses, significantly increasing production efficiency by ten times. The company's CEO, Reed Hastings, emphasized that AI can enhance creative quality, not just reduce costs. The series includes 2000 visual effects shots, and AI technology allows projects with smaller budgets to achieve high-level special effects. Despite industry controversy over AI (such as the Hollywood strike opposing its use), Netflix continues to explore the application of AI in pre-visualization and shot planning. In addition to special effects,

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.....

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.....