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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

Media reports claimed that Elon Musk's artificial intelligence startup, xAI, is burning through up to $1 billion per month. This report has garnered significant attention. The message suggests that xAI's costs in building advanced AI models far exceed its revenue growth, and the company's funding needs are becoming increasingly urgent. However, Musk strongly refuted these claims, calling them 'nonsense.' Photo source note: The image was generated by AI, with photo licensing services provided by Midjourney. Since its founding in 2023, xAI has been...

The US Department of Defense (DoD) has reached a pilot project contract worth up to $200 million with the artificial intelligence company OpenAI, aimed at developing 'advanced AI' capabilities. However, the specific details of the cooperation are not yet clear. This news was disclosed in the new contract announcement from the Department of Defense on Monday. Of the total contract amount, OpenAI will immediately receive $2 million, with the remaining funds to be paid later. Source note: The image is generated by AI, and the AI image authorization service Midjourney is used. According to the Department of Defense's announcement, this contract will...

AI-powered programming tools are changing the face of software development at an unprecedented pace. While many tools aim to become programmers' co-pilots, Cursor has set a bolder vision: not only assisting with programming, but through AI, completely reshaping the essence of programming. Here is the latest news compiled by AIbase, giving you an insight into Cursor's grand goals and strategic plans. From co-pilot to pilot: Cursor's ultimate ambition. Founder Michael Truell of Cursor

The French AI lab Mistral has officially launched its first series of reasoning models - Magistral, marking another significant progress in the AI field. This series includes two versions: Magistral Small and Magistral Medium, aiming to enhance logical reasoning capabilities in fields such as mathematics and physics. These models solve problems step-by-step, comparable to models like OpenAI's o3 and Google's Gemini2.5Pro.

Recently, Apple Inc. released a controversial paper pointing out significant defects in the reasoning abilities of current large language models (LLMs). This view quickly sparked heated discussions on social media, especially among senior software engineers on GitHub, such as Sean Goedecke, who strongly opposed it. He believed that Apple's conclusions were too one-sided and could not fully reflect the capabilities of reasoning models. Apple's paper pointed out that the performance of LLMs was unreliable when solving benchmark tests such as mathematics and programming. The research team from Apple adopted

A new study led by Apple researchers has poured cold water on the current large reasoning models (LRMs) that are highly anticipated. The research found that when solving complex tasks, reasoning models designed to simulate thinking processes, such as Claude3.7Thinking and Deepseek-R1, not only failed to show advantages but also exhibited serious problems like insufficient reasoning and performance collapse. This study tested four classic logical puzzles: the Tower of Hanoi, Checkers, River Crossing, and Block World. These puzzles allow precise control over the tasks.

Recently, DeepSeek released an updated version of its latest R1 reasoning AI model, which demonstrated excellent performance in multiple math and coding benchmarks. However, DeepSeek did not disclose the source of the training data for its model, leading some AI researchers to question it and speculate that the model may have been partially trained based on Google's Gemini AI series. Melbourne developer Sam Paeach claimed that he found...

Recently, the Natural Language Intelligence Team of the Tongyi Lab officially released and open-sourced VRAG-RL — a multi-modal RAG reasoning framework driven by visual perception. It aims to solve the problem of how AI can retrieve key information and conduct fine-grained reasoning from visual languages such as images, tables, design drafts, etc., in real-world business scenarios. Retrieving and reasoning about key information in complex visual document knowledge bases has always been a major challenge in the AI field. Traditional retrieval-augmented generation (RAG) methods struggle when handling visually rich information because they find it difficult to...