Thesys released OUI-1, an open-weight generative UI model fine-tuned from Google's DiffusionGemma with 26 billion total and 4 billion active parameters, scoring 71.7% on Thesys' Generative UI Benchmar…
Researchers led by Subham Sekhar Sahoo introduced Uno, a diffusion-based adapter that boosts large language model throughput by up to 3x, with the Uno-Qwen 8B variant achieving roughly 2.5x speedup at…
Thesys Dev released OUI-1, the world's first model for Generative UI, a finetuned DiffusionGemma model that writes user interfaces in openui-lang and runs on consumer-grade GPUs like the RTX 5090 at F…
Latency, not intelligence, is now the primary bottleneck for interactive AI applications, according to a blog post by smiz that argues models must respond within 100ms to enable real-time interfaces. …
Google released Gemma 4, a multimodal AI model family, with documentation, model cards, and checkpoints available on Hugging Face, alongside specialized variants including DiffusionGemma, EmbeddingGem…
Google released DiffusionGemma, an open-weight model that generates text in parallel 256-token blocks, achieving 1,500 tokens/second on a single H100, fine-tuned from Gemma 4 MoE (3.8B active / 25.2B …
Google's DiffusionGemma technical report, released on arXiv in late July, reveals that the text diffusion LLM achieves 4x faster text generation but with a quality trade-off that varies by use case, m…
Unsloth, the open-source fine-tuning library, released Unsloth Desktop, a free beta app for macOS, Windows, and Linux that runs and trains LLMs, diffusion models, and audio models locally, directly co…
Google DeepMind's DiffusionGemma, a diffusion-based text generation model, remains highly monitorable despite its latent reasoning capabilities, according to a new analysis that strengthens prior find…
Google DeepMind released DiffusionGemma, an experimental open-weight model that converts the Gemma 4 architecture into a discrete text-diffusion system using less than 10% of Gemma 4's original traini…
Google DeepMind retrofitted Gemma 4 into a text diffusion model, DiffusionGemma, using less than 10 percent of the original training budget, and it generates 256 tokens in parallel at about 1,500 toke…
DiffusionGemma, a text diffusion model, achieves a 2.2× step-speedup and 31-point GPU compute efficiency gain over autoregressive decoding, according to a performance review by an ML engineer. The com…
Google DeepMind released DiffusionGemma, an open-weight language model that generates text via discrete diffusion, achieving roughly 1,500 output tokens per second on a single H100 compared to about 3…
Google DeepMind introduced DiffusionGemma, an experimental open-weight language model that uses discrete diffusion to generate text at high speed, achieving roughly 1,500 output tokens per second on a…
A new automatic speech recognition model, Diffusion-gemma-asr, achieves 15x faster inference than OpenAI's Whisper by freezing a Whisper-small encoder and DiffusionGemma weights and adding a 42M param…
Researchers from ARENA 8.0 demonstrated that DiffusionGemma, Google DeepMind's 26B-class open-weights diffusion language model released June 10, 2026, is vulnerable to novel jailbreak attacks that pin…
Interfaze, a research lab, released diffusion-gemma-asr, the first open-source diffusion ASR audio model that is 15x faster than OpenAI's Whisper. The model achieves a 6.6% word error rate on Librispe…
A developer seeking to adapt DiffusionGemma to a marine-domain dataset reports that supervised fine-tuning (SFT) caused increased hallucination and degraded instruction-following, and notes that Diffu…
Google researchers introduced DiffusionGemma, a 26-billion parameter mixture-of-experts speech recognition model that uses discrete diffusion to refine whole transcripts in parallel, achieving a 6.6% …
Interfaze, a Y Combinator-backed startup, open-sourced diffusion-gemma-asr-small, the first multilingual diffusion-based ASR model. The model transcribes six languages using a single 42M-parameter ada…