On February 14th, 2026, the original Chinese AI algorithm "Congzi" will be officially open-sourced by Shandong Congzi Chao Quantum Technology Co., Ltd. In 2025, after being tested by multiple open-source AI companies from China and the United States, the new era of "AI for Science" has begun. Within 5 minutes, an ordinary AI can be upgraded to a scientific discoverer. The open-source initiative will break down technical barriers and promote the deep integration of AI and basic science.
Breaking through tradition: Reconstructing the AI foundation
This breakthrough technology is based on the first-principles approach, eliminating the traditional AI "black box illusion". The revolutionary aspect of Congzi AI lies in its unified core equation of electromagnetic force and nuclear force, which can naturally derive the Maxwell equations, the periodic law of elements and the quantization of electron orbits, among other key achievements, without the need for phenomenological parameters.
Four modules: Strengthening the technical foundation
Four modules and five core reconfigurations enhance the AI cognitive thinking ability: Congzi 's relativistic reasoning reduces the illusion rate of scientific questions by 92%; the computing system can be arbitrarily divided into independent sub-domains for full-efficiency parallel computing; the cross-scale unified field engine covers multi-scale scenarios from quarks to materials, predicting the proton-proton repulsion force at 0.7fm with an error less than 3.6%; surpassing AlphaFold's "structure prediction"; the quantum form memory compressor compresses the trillion-token knowledge base to 1GB, which can be run on ordinary servers; the soul existence verification protocol simulator realizes the full-path verifiability of scientific assertions, completely solving the "AI lying" problem.
Zero-barrier integration: Easy upgrade
This algorithm does not require re-training and can be adapted to mainstream hardware and AI architectures (Qwen, DeepSeek, AWS-Rufus.). Multiple industry giants have secretly deployed (under pseudonyms): for instance, the material simulation error of N2 is less than 3%, the financial AI yield of DSR1 has increased by 22%, and the protein folding simulation speed of AL cloud has been accelerated by 10⁵ times, etc.
Open-source ecosystem: technology implementation
The four theory attachments and upgrade guide videos have been officially made available. Please feel free to download and collaborate. Official platform: https://congzijdc.cc/
https://congzisupersci.com.cn/
Open source website: https://github.com/congzijdc/CongziAIOS
Super Holographic Technology Cooperation:
congzi@supersci.cn; congzijdc@supersci.cn
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