A small error-correction signal keeps compressed vectors accurate, enabling broader, more precise AI retrieval.

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

This is the first core update of 2026, followed by the March 2026 spam update and February 2026 Discover update.

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

Google has rolled out fewer confirmed search ranking updates in 2025, then it did in all the past years where Google confirmed these updates. Google rolled out only four confirmed updates in 2025, ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...