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Recently, MiniMax announced the launch of its new model MiniMax-M1. As the world's first open-source large-scale hybrid architecture inference model, it demonstrates outstanding performance in complex production scenarios, becoming a leader among open-source models. MiniMax-M1 not only surpasses domestic closed-source models but also approaches the level of the most advanced overseas models while maintaining the highest cost-effectiveness in the industry. A notable feature of MiniMax-M1 is its support for up to 1 million context inputs, comparable to the closed-source model G

Tech company Anthropic has quietly launched a blog project called 'Claude Explains' to showcase the content creation capabilities of its AI model, Claude. The content of the blog is primarily generated by the Claude AI model and then edited and enhanced by a team of human experts, covering various technical topics. It is reported that the content of the 'Claude Explains' blog is not just automatically generated by AI, but also goes through a series of rigorous editing processes.

Tencent has released the technical report on Qwen TurboS, revealing the core innovations and powerful capabilities of its flagship large language model TurboS. According to the latest rankings from the global authoritative large model evaluation platform Chatbot Arena, Qwen TurboS ranks seventh among 239 participating models, making it the top model domestically after Deepseek, and internationally trailing only Google, OpenAI, and xAI.

Recently, the domestic embodied intelligent start-up "Lingyu Intelligence" announced the completion of a multimillion-dollar seed round financing. This round was led by InnoAngel Fund, with participation from Shuimu Alumni Seed Fund and Horizon Ventures. The company was co-founded by Jin Ge, an alumnus of the Department of Automation at Tsinghua University, together with his team. It is committed to creating a benchmark for embodied intelligent applications, accelerating the real-world implementation of robots in industrial and home scenarios. Lingyu Intelligence, leveraging its technical accumulation in the field of robot motion control, has built a general solution covering data collection from the human side, actuators on the machine side, to intelligent operation platforms, bridging from level L0 to L4 of intelligence.

On May 8th, OpenAI o4-mini launched with Reinforcement Fine-Tuning. The combination of these two technologies completely transforms the cost structure and technical threshold for AI specialization, enabling enterprises to rapidly turn general-purpose AI into expert systems in specific fields using only a small amount of training data. The leap from general intelligence to expert-level AI is highlighted by the Reinforcement Fine-Tuning technology at the core of this release. Unlike traditional supervised fine-tuning, RFT is based on reinforcement learning algorithms, driven by reward-based training.

Meta has released its latest open-source AI model, Llama 4, marking another significant advancement in the field of artificial intelligence. Llama 4 comes in two versions, Scout and Maverick, designed to enhance AI model capabilities and performance. Meta states that Llama 4 is a multimodal large language model capable of processing various data types, including text, images, video, and audio, and can freely convert between these formats. Notably, the Llama 4 series is the first...

Tencent recently released the official version of its HunYuan large language model series – HunYuan-T1. This new model, built upon the medium-scale HunYuan base model and extensively fine-tuned, demonstrates significantly improved reasoning capabilities, particularly excelling in deep thinking and complex problem-solving. Since the launch of the HunYuan T1-Preview in February, users have experienced faster and more insightful processing. The official release marks a significant upgrade to the product line. The HunYuan-T1 development team leveraged the latest Turbo...

News is spreading in the AI field that Jie Junyuan, a former AI expert from ByteDance, has officially joined Chixun Intelligent, an embodied AI startup, as the head of its embodied intelligence department. This change not only injects strong momentum into Chixun Intelligent's technical team but also paves the way for the future development of embodied AI. Jie Junyuan is a highly respected figure in the field of artificial intelligence. He graduated from the University of Science and Technology of China and received his doctorate from the University of Washington. He has published papers at several top academic conferences, and these papers...

Sakana AI's newly developed AI Scientist-v2 model has accomplished a jaw-dropping feat—it independently authored a complete scientific paper, from conception to completion, without any human intervention. Even more astonishing, this paper successfully passed the double-blind peer review of the ICLR2025 workshop, fooling the discerning eyes of human experts. This AI-generated paper achieved fully end-to-end autonomous creation; Sakana AI confirms that the entire process was completed without any human modification.

Artificial intelligence is rapidly integrating into our daily applications, and a startup called Flower Labs is revolutionizing how AI models are deployed and run. This Y Combinator-backed company recently launched Flower Intelligence, an innovative distributed cloud platform designed to serve AI models on mobile devices, personal computers, and web applications. At the core of Flower Intelligence...

DeepSeek launched an official account on Zhihu and published a technical article, "DeepSeek-V3/R1 Inference System Overview," detailing its model inference system optimization and cost-profit margin information for the first time, marking the end of the highly anticipated DeepSeek Open Source Week. The article highlights two key optimization goals for the DeepSeek-V3/R1 inference system: higher throughput and lower latency. To achieve these goals, DeepSeek employs large-scale cross-node expert parallelism (EP) technology, although...

DeepSeek announced its second-day product of the open-source week: the first open-source EP communication library for MoE models, enabling full-stack optimization for mixed-expert model training and inference. DeepEP is a high-efficiency communication library specifically designed for Mixture-of-Experts (MoE) and Expert Parallelism (EP). It aims to provide high-throughput and low-latency many-to-many GPU kernel communication, commonly known as MoE routing and aggregation. DeepEP not only supports low-precision operations such as FP8 but also integrates with the DeepSeek-V3 paper.

February 24, 2025, the platform announced support for the new AI model Claude 3.7 Sonnet (Anthropic released Claude 3.7 Sonnet). An official X post stated that the model had been undergoing internal testing for some time, observing significant improvements in agent workflows and code generation (Perplexity Pro X post). Claude 3.7 Sonnet is described as Anthropic's most intelligent model to date.