Amidst the buzz surrounding DeepSeek and other cutting-edge AI models, there’s a new contender that’s flying under the radar but deserves a lot more attention: Gemini 2.0. After spending some time with it, I’m convinced this might become my new go-to model for developing LLM-based software. Here’s why.

Now, we turn to one of the most persistent myths: "Export Controls Killed NVIDIA - DeepSeek Proves China Doesn't Need U.S. Chips!“ This claim suggests that DeepSeek’s success under U.S. export restrictions proves China’s self-sufficiency in AI chips and renders NVIDIA irrelevant. However, this oversimplifies the situation. While China has adapted, DeepSeek’s achievements still rely heavily on NVIDIA hardware and software.

In Part 1, we tackled DeepSeek's data privacy. Today, we debunk the myth: “DeepSeek V3 Cost Just $5M to Train—It’s a Hedge Fund Side Project!”