Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.
Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.
Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.
OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...
NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...
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Hollywood studio disputes from Seedance 2.0 remain open as the new model enters its launch window
ByteDance Seedance 2.5 enters public launch this week with a claim no other AI video model has matched: 30-second native generation without stitching. Hollywood copyright disputes from Seedance 2.0 ...
Sam Altman announces limited preview of GPT 5.6 in move that echoes launch of Anthropic’s Mythos ...
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
We have recommendations for which trim level to buy if you want to get the most bang for your buck when buying the Atlas SUV.
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