> manufacturing companies making the flimsiest, cheapest, plastic crap to save 1/3 of a cent on every mop they produce. Designed to work for the least amount of time before needing replaced
We live in a world with such companies, and we can still buy quality things. If there is a demand for the purely-human generated texts, they will be around. Perhaps a lot of people around you will read ai text instead, and you'll get upset because of it, but it's their choice. You'll still have your thing
> The technique implemented here consists of the scalar case of the HIGGS quantization method (Malinovskii et al., "Pushing the Limits of Large Language Model Quantization via the Linearity Theorem", NAACL 2025; preprint arXiv:2411.17525): rotation + optimized grid + optional re-normalization, applied to KV cache compression. A first application of this approach to KV-cache compression is in "Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models" (Shutova et al., ICML 2025; preprint arXiv:2501.19392). Both these references pre-date the TurboQuant paper (Zandieh et al., ICLR 2026).
We live in a world with such companies, and we can still buy quality things. If there is a demand for the purely-human generated texts, they will be around. Perhaps a lot of people around you will read ai text instead, and you'll get upset because of it, but it's their choice. You'll still have your thing