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A lot of you have asked me to explain what just happened in China and that deserves a whole video because a new AI race was just unlocked. I'm Giggin Chen, I keep you up to date with China and in this video I'm going to explain what DeepSeek just released because it wasn't another AI model. It's called DSpark. It's an inference architecture upgrade, but it's way more important than it sounds. Let's talk about why that is. First, you should know DeepSeek released bundled versions for V4 Pro, V4 Flash, Quinn 3, and Gemma. We'll come back to that. But here's the problem that it solves. Standard AI typing is painfully slow because GPUs have to process billions of parameters for every single word. The standard fix in the industry is something called speculative decoding. A fast, tiny module gets five or so words ahead, and then the main massive model verifies it all in one sweep. The problem is, the candidate tokens are generated in parallel, and you can think of the tokens for simplicity's sake as those five or so words. It's happening all at the same time. You don't really know the words that are coming before and after when you're generating.