New method allows to convert auto-regressive models into diffusion models with a

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t4jehc/supercharging_llm_inference_on_google_tpus/"> <img alt="Supercharging LLM inference on Google TPUs:

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

<p>Today Inception Labs dropped <strong>Mercury 3</strong>: a diffusion-based LLM with a 1M-token context window doing <strong>1,068 tokens/sec on NVIDIA GPUs</strong>, claiming

<!-- SC_OFF --><div class="md"><p><strong>Noam Brown</strong> — OpenAI Research Scientist and co-creator of o1, Libratus, and Cicero — sat down with Dwarkesh Patel for a 1h 20m

arXiv:2605.04215v1 Announce Type: cross Abstract: Diffusion-based Large Language Models (D-LLMs) represent a promising frontier in generative AI, offering fully parallel token

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1x75bme/alodlm_8b_looped_diffusion_language_model_3x/"> <img alt="ALoDLM 8b looped diffusion language model:

arXiv:2607.20545v1 Announce Type: new Abstract: Diffusion models have become competitive generators for time series, but their practical use is limited by the large number of

arXiv:2604.21952v1 Announce Type: cross Abstract: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines