Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...
Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Large language models appear aligned, yet harmful pretraining knowledge persists as latent patterns. Here, the authors prove current alignment creates only local safety regions, leaving global ...