https://www.live-feeds.com/feed/retrofitting-language-models-to-operate-over-bytesContinuously updated, source-cited coverage. https://www.live-feeds.com/feed/retrofitting-language-models-to-operate-over-byteshttps://www.live-feeds.com/feed/retrofitting-language-models-to-operate-over-bytes#u128349Sat, 17 Oct 2026 15:40:15 +0000A newly published study in Nature introduces a technique called byteification that enables language models to read raw text and process individual characters directly. Developed by Benjamin Minixhofer and colleagues at the Allen Institute for AI and the University of Cambridge, the approach bypasses traditional tokenizers by retrofitting existing models to operate over bytes. Researchers have released new model checkpoints extending this byte-level capability beyond Olmo to include Qwen and Llama architectures. Industry analysts note that moving to byte-level processing alters underlying model