Category Beginner’s Guide

The Internet’s easy-to-proclaims official open-source mathematical models of its “sub” series of large models, becoming the first open-source reasoning model in the country to focus on mathematics education and to be able to operate efficiently on single-scale consumer-grade GPUs. According to an official presentation, the Mathematics Model 3 shows a significant advantage in the task of solving the country’s mathematical problems, with training costs of only $26,000 and reasoning performance approximately 15 times that of DeepSeek R1.

The Mathematic Model 3 achieves excellence in mathematical reasoning, problem resolution and mathematical support through a large-scale enhancement of learning and a range of innovative algorithms. Models support mathematical topics from primary to high school, covering a wide range of fields, such as algebra, conglomeration, probabilities and, in particular, better understanding and resolution of Chinese mathematical issues than similar models.

Thanks to an efficient architecture design, the model can operate well on a consumption-level GPU, with rapid reasoning and low resource occupancy, significantly lowering the threshold for use in educational institutions and personal development. Compared to large generic models such as DeepSeek R1, the “Sub-magnetic Model 3” performed well on multiple data sets such as CK12-math, GAOKAO-Bench (Math), MathBench (K12) and MATH500.

The open-source aspect of the Internet is to promote the inclusion of AI technology in education and to provide new tools for online education, intelligent classrooms and individualized learning. The training cost of $26,000 was much lower than the generalization of millions of dollars, thanks to a breakthrough in data screening and algorithm optimization.

The open source of the easy-to-be-to-reach “second-to-third mathematical model” provides low-cost, high-performance AI solutions in the field of education, marking the acceleration of the penetration of large-scale modelling technologies into the mathematical education landscape. Not only have technical barriers to AI education been reduced, they also provide a replicable model for global developers.

On 26 May, the 100-degree multi-intellectual body collaboration application officially launched the iOS version, which is now available for search and download at Apple Applications. So, “heart” App has been fully online at the Android and iOS ends.

The “heart” App was launched on April 25, 2025 at the Create 2025-degree AI Developer’s Congress and was positioned as a universal super-intelligence product, focused on mobile end applications. The Android version was put on line in April, while the iOS version was delayed until 26 May due to the Apple App store audit process.

Through multi-intellectual teamwork, the heart is able to decompose complex tasks entered by users into subtasks and to implement them dynamically and deliver visual results. Users interact with App in natural languages, and do so without complexity, such as process planning, information collation or multistep workflow processing.

The heart has reportedly supported over 200 mission scenarios covering areas such as life, work and recreation. Support for efficient task decomposition and intelligent implementation, based on the accumulation of technology in the field of artificial intelligence, in particular its large modelling capacity. Compared to the traditional question-and-answer format AI, the heart is more focused on the dynamic handling of complex missions and the presentation of results.

The 100-degree “heart” iOS version is officially online, marking the completion of its full layout on both Android and iOS platforms. As a universal super-intellectual product, the heart is provided with efficient and complex task management capabilities through multi-intellectual collaboration and natural language interaction.