@SpirosMargaris
Google’s TurboQuant is getting compared to “Pied Piper,” but it’s really about efficiency, not a breakthrough. If it works, it could cut AI runtime memory (KV cache) by up to 6x and make systems much cheaper to run, which is why some are calling it Google’s “DeepSeek moment.” But the biggest bottlenecks in AI, especially training and infrastructure, are still very much there. https://t.co/Q5dEOvABe8 @techcrunch @SarahPerezTC