Meng, thank you for the thoughtful write-up. Do you happen to know why China leads the world in AI patent but lags far bhind the US and EU in producing high-quality AI models?
I heard that China filed 5x more pantents than the US in AI-area for 10 years leading to 2023. A Stanford research also says China accounts for ~60% of AI patents filed vs. 20% by the US.
You wrote, “Building an AI model is like making computer chips. It needs lots of money and research. It's not easy to do with just open-source code,“ but what are the differences between filing an AI ptent and developing an AI model?
The protection of intellectual property (IP) in the field of AIGC (AI-Generated Content) urgently requires valuable recommendations and case studies across various stages, including application, rights protection, and even early R&D and model development.
- Patent Applications Embedding Non-Improvement Points: Refers to patent applications where the protected technical solution includes content generated by AIGC models as part of the non-improvement points.
- Patent Applications Embedding Improvement Points: Refers to patent applications where the protected technical solution includes AIGC model-generated content as part of the improvement points.
- Patents Protecting the Training Process: Refers to patent applications where the protected technical solution involves improvements related to the training process of the AIGC model.
- Patents Protecting Application Scenarios: Refers to patent applications where the protected technical solution involves improvements related to applying the AIGC model to a new scenario.
Meng, thank you for the thoughtful write-up. Do you happen to know why China leads the world in AI patent but lags far bhind the US and EU in producing high-quality AI models?
I heard that China filed 5x more pantents than the US in AI-area for 10 years leading to 2023. A Stanford research also says China accounts for ~60% of AI patents filed vs. 20% by the US.
You wrote, “Building an AI model is like making computer chips. It needs lots of money and research. It's not easy to do with just open-source code,“ but what are the differences between filing an AI ptent and developing an AI model?
The protection of intellectual property (IP) in the field of AIGC (AI-Generated Content) urgently requires valuable recommendations and case studies across various stages, including application, rights protection, and even early R&D and model development.
- Patent Applications Embedding Non-Improvement Points: Refers to patent applications where the protected technical solution includes content generated by AIGC models as part of the non-improvement points.
- Patent Applications Embedding Improvement Points: Refers to patent applications where the protected technical solution includes AIGC model-generated content as part of the improvement points.
- Patents Protecting the Training Process: Refers to patent applications where the protected technical solution involves improvements related to the training process of the AIGC model.
- Patents Protecting Application Scenarios: Refers to patent applications where the protected technical solution involves improvements related to applying the AIGC model to a new scenario.