The 85% That Isn't: What DSpark's Numbers Actually Measure
DeepSeek dropped DSpark on June 27, and the headline rocketing through the AI press was straightforward: 85% faster inference, open-sourced under MIT, no new hardware required. Co-developed with Peking University, the framework applies speculative decoding to DeepSeek's V4-Flash and V4-Pro models, using a lightweight "scout" module to guess likely token paths so the main model can skip ahead when guesses are good. The checkpoints are already on Hugging Face. The HN thread hit 793 points and 361 comments. It's the…