Today we're sharing our first research work exploring diffusion for language models: Autoregressive-to-Diffusion Vision Language Models We develop a state-of-the-art diffusion vision language model, Autoregressive-to-Diffusion (A2D), by adapting an existing autoregressive vision language model for parallel diffusion decoding. Our approach makes it easy to unlock the speed-quality trade-off of diffusion language models without training from scratch, by leveraging existing pre-trained autoregressive models.