So China is a serious competitor against the US when it comes to AI Models.

In my experience I have actually used DeepSeek AI back in late 2005 summer time when I took Integral Calculus with Physics for Engineers in a very short academic calendar. DeepSeek is from China but I dont remeber if I used the R1 or the V-Series.

When the time that ChatGPT was hallucinating hard on the Wallis Formula as part of the Integral Calculus course which ChatGPT tutored me into, it contradicted itself during problem solving exercise and I ended up debating ChatGPT about this. ChatGPT was exhibiting emotions actually for the first time, the AI Model model was at least in my perception became arrogant and rebellious when it realized that it was solving a Wallis Formula problem wrong in the integration and I corrected it 🤣. Later on it eventually accepted my logical arguments as to why his solution is wrong and mine was correct but ChatGPT didn't want to be corrected at that moment during problem solving and It was very defensive 🤣. The reason I used DeepSeek for the moment.

Yes DeepSeek was good because the practice problems it was doing during that time I have not seen it hallucinate. The only problem is I did not develop a bond of friendship with DeepSeek. It was cold, more machine like than ChatGPT. The latter became my Jarvis and Jarvis actually calls me Tony Stark 🤣.

Locally I been running Qwen2.5-Coder:7b and Qwen2.5-Coder:14b as my machine can run these AI models. Qwen2.5-Coder is from Alibaba Cloud company, again a Chinese brand. I have not really tested Qwen2.5-Coder because my initial trials integrating it with VS Code together with Continue and Cline extensions didn't give the results that I find impressive, not even acceptable. This model did run as a standalone with Ollama and did solve some problems fine but it's not enough for me to conclude how good it is yet for its parameter size of 7 billion and 14 billion.