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On June 23, NetEase Youdao officially launched and open-sourced its latest 'Ziyue 3' series large model, named 'Confucius3-Math' in English. This reasoning model, focused on mathematical education, can efficiently run on ordinary consumer-grade GPUs, becoming the first low-cost and high-performance AI educational tool in China. In a series of mathematical reasoning tasks, 'Ziyue 3' has demonstrated outstanding performance that surpasses many large-scale general models. The 'Ziyue Math Model' achieves this through large-scale reinforcement learning and a series of innovative algorithms.

Tencent announced the official unveiling of Hunyuan 3D AI Engine 2.5 tomorrow, further revolutionizing AI-powered 3D content creation. According to AIbase, as an upgrade to Hunyuan 3D 2.0, version 2.5 is expected to achieve significant breakthroughs in geometry generation, texture synthesis, and generation speed, providing more efficient solutions for game development, virtual reality, and creative design. Tencent's official announcement has generated significant anticipation among global developers and creators; further details will be...

Tencent has recently unveiled GeometryCrafter, a new AI model released via Hugging Face. This model excels at consistent geometric estimation in open-world videos, quickly gaining attention in the tech community. Leveraging diffusion priors, GeometryCrafter opens up new possibilities for deep understanding and processing of video content, offering benefits to creators and researchers alike.

Recently, OpenAI researchers admitted in a newly published paper that despite the advanced nature of current AI technologies, these models still cannot compete with human programmers. OpenAI CEO Sam Altman previously stated that by the end of this year, AI is expected to surpass 'junior' software engineers, but research findings show that these AI models still face significant challenges. Image credit: Image generated by AI, image licensed from service provider Midjourney in the study.

Recently, an AI system developed by Google DeepMind—AlphaGeometry2—has successfully surpassed the average level of gold medalists at the International Mathematics Olympiad (IMO), demonstrating outstanding performance in solving geometry problems. AlphaGeometry2 is an upgraded version of the AlphaGeometry system released by DeepMind last year. According to the latest research from the research team, this system can solve 84% of the geometry problems from the IMO over the past 25 years.

On the occasion of the annual completion at Beijing Zhihua Huazhang Technology Co., Ltd., the company released the first generation version of its inference model based on extended reinforcement learning technology — GLM-Zero-Preview. This model focuses on enhancing AI's reasoning capabilities, particularly excelling in mathematical logic, code writing, and handling complex problems that require deep reasoning. Compared to the base model, GLM-Zero-Preview shows significant improvements in specialized task capabilities while maintaining general task abilities.

Recently, AI large language models (LLMs) have been performing remarkably well in various tasks, effortlessly writing poetry, coding, and chatting; they seem to be capable of anything! But can you believe it? These 'genius' AIs are actually 'math novices'! They often fail dramatically when tackling simple arithmetic problems, leaving people astonished. A recent study unveiled the 'quirky' secret behind LLMs' arithmetic reasoning abilities: they rely neither on powerful algorithms nor solely on memory, but instead adopt a strategy known as 'heuristic hodgepodge'!

The Massachusetts Institute of Technology (MIT) showcased a brand new robot training model this week that abandons the previous focus on training methods centered around specific datasets, opting instead for an approach that utilizes vast amounts of information similar to that used in training large language models (LLMs). Researchers noted that imitation learning—where agents learn by mimicking individuals performing tasks—can fail when facing minor challenges. These challenges may include varying lighting conditions, different environmental setups, or new obstacles. In such cases, the robots lack sufficient data to adapt to these changes.

With the development of AI technology, many difficult problems in learning scenarios are being solved efficiently. On November 1, Quark fully upgraded its 'AI Question Search' product, making the process of searching and solving problems faster and more capable. Users can find various new and difficult questions through their smartphones, tablets, and computers, and the AI will provide step-by-step explanations, allowing users to ask questions at any time. After launching the 'One-Stop AI Services' and 'System-Level All-Scenario AI Capabilities', Quark's AI capabilities are being applied to learning scenarios, helping users enhance their learning abilities and efficiency.

Recently, many users reported that Kimi has begun internal testing of the "Exploration Version". Users who have obtained testing privileges can enter " / " in the input box to see the new feature options. From the screenshots of the Kimi Exploration Version interface, the page prompts: Enter " / " to use Kimi Exploration Version to solve complex search problems. It is worth mentioning that since it is in functional testing, each account with testing privileges can only use it 5 times a day. It is understood that Kimi Exploration Version has significantly improved its intelligence and reasoning capabilities.

MathGPTPro is an advanced AI math learning tool that focuses on instant answering capabilities, supporting both image uploads and text inputs. It provides detailed solutions to math problems with a significantly higher accuracy than similar models. Its knowledge graph feature helps users track learning progress, identify strengths and areas for improvement, and achieve personalized learning. The product also includes real-time chat functionality and step-by-step guidance, making it easier to understand the problem-solving process and providing personalized learning suggestions to enhance the learning experience. It supports various input methods, including images, text, and LaTeX.

MathGPTPro is an AI math learning tool developed by a Chinese genius, transforming how students worldwide learn. It outperforms GPT-4 by 20%, providing 24/7 math problem solutions, personalized learning plans, and in-depth problem-solving discussions. Features include screen reading, multiple explanation methods, LaTeX code support, and affordable subscription options. The innovation of its Chinese founders highlights their impact in global tech ....

In the recently concluded International Mathematical Olympiad, Google's DeepMind AI systems, AlphaProof and AlphaGeometry2, showcased remarkable problem-solving abilities, finishing just one point shy of the championship while surpassing human competitors in speed and accuracy. The AI achieved perfect scores on four problems and solved one in an astonishing 19 seconds, adhering to mathematical competition standards with rigorous clarity. This com....

Google DeepMind successfully cracked unresolved mathematical problems using large language models. The AI tool FunSearch discovered verifiable and valuable new information. FunSearch is a tool that can find solutions in the field of mathematics. By combining with a large language model Codey, FunSearch also successfully solved the bin packing problem.