This is Why Your AI Workflow is About to Feel “Slow” For the past year, the industry has grown accustomed to the rhythmic, token-by-token “typing” of large language models. While impressive, this sequential generation is a fundamental architectural bottleneck. Standard autoregressive models generate one word at a time from left to right, a process that frequently leaves local hardware—like…
Originally published at Parallelism Over Pixels: Why the Encoder-Free 12B and DiffusionGemma are Rebuilding the Developer Stack
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