Google/DeepMind

Latest AI news, models and releases from Google/DeepMind. ['A2UI v0.9', 'AI Co-Scientist', 'AI Evaluator', 'AI Mode', 'AI Overviews', 'AlphaEvolve', 'AlphaFold', 'AlphaGenome', 'AlphaQubit', 'Antigravity', 'Auto frame', 'BERT', 'Chinchilla', 'Computational Discovery', 'Confidential GKE Nodes', 'Co-Scientist', 'Empirical Research Assistance', 'Era', 'ERA', 'Executive LLM', 'Farmscapes 2020', 'Flood Hub', 'frontier AI', 'Frozen v2', 'FunctionGemma', 'Gemini', 'Gemini 1.5 Flash', 'Gemini-1.5-pro', 'Gemini 1.5 Pro', 'Gemini 2.0 Flash', 'Gemini 2.5', 'Gemini 2.5 Flash', 'Gemini-2.5 Flash', 'Gemini-2.5-Flash', 'gemini-2.5-flash-image', 'Gemini 2.5 Pro', 'Gemini-2.5 Pro', 'Gemini-2.5-Pro', 'Gemini 3.1 Flash', 'gemini-3.1-flash-image']

Official site ↗

Models 🇺🇸 ⚡

From GPT-2 to gpt-oss: Analyzing Architectural Advances and Comparison with Qwen3

OpenAI released gpt-oss-120b and gpt-oss-20b, their first open-weight models since GPT-2. The architecture features Mixture-of-Experts, Grouped Query Attention, RoPE, SwiGLU, and MXFP4 optimization for local inference. Comparisons with GPT-2 and Qwen3 highlight advances in width vs depth trade-offs and attention sinks.

OpenAI

Alibaba/Qwen

Beyond Standard LLMs: Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers

The article by Sebastian Raschka explores alternatives to standard autoregressive transformer LLMs, including linear attention hybrids (e.g., MiniMax-M1, Qwen3-Next, DeepSeek V3.2, Kimi Linear), text diffusion models, code world models, and small recursive transformers. It discusses the revival of linear attention mechanisms and challenges, such as MiniMax reverting to standard attention in its M2 model due to poor performance on reasoning tasks.

Moonshot AI

MiniMax

Alibaba/Qwen

DeepSeek

Google/DeepMind

Mistral