Google DeepMind's DiffusionGemma, optimized for NVIDIA platforms, generates text tokens in parallel rather than sequentially, achieving up to 1,000 tokens per second on a single NVIDIA H100 GPU. The m…
NVIDIA has optimized Google DeepMind's new DiffusionGemma model to run up to four times faster on its GeForce RTX GPUs, RTX PRO workstations, and DGX Spark systems. Unlike traditional language models …
Google DeepMind, Schmidt Sciences, the Cooperative AI Foundation, and the Advanced Research and Invention Agency, supported by Google.org, announced a new technical research funding call of up to $10 …
The Trump administration issued an AI memorandum asserting the right to use any AI models for national security without vendor interference, while OpenAI released a plan for AGI safety calling for int…
Ideogram released Ideogram 4.0, its most powerful image generation model, which ranks 5th among all image models and is the highest-performing open-weights model, surpassing competitors like Tencent's…
Google DeepMind launched a three-month accelerator program for early-stage robotics startups across Europe, providing access to its AI stack, technical expertise, and Gemini robotics models. The selec…
Roblox released World Research Station, a world model AI game built on newly acquired Morpheus AI technology, which received a 3% rating from players due to extreme input latency, persistent visual gl…
Sergey Brin said at Google DeepMind Build Day that artificial intelligence can enhance human performance rather than replace jobs, using the board game Go as an example. Brin noted that top players Le…
Jaiyen Shetty announced on X that Terra, an AI farming software project, has signed over 185,000 acres of farmland in four days. Shetty stated in a LinkedIn post that Terra originated from a first-pla…
Google DeepMind released Quantization-Aware Training (QAT) checkpoints for the Gemma 4 model family, targeting local deployment on edge devices and consumer GPUs. The new Q4_0 QAT format reduces memor…
Google released Gemma 4 12B, a multimodal AI model that runs on consumer laptops with 16GB of RAM while delivering performance comparable to a 26B-parameter model. The model eliminates separate multim…
A new AI glossary published June 4, 2026 on 0xdf.gitlab.io defines core terminology for practitioners, distinguishing frontier AI labs, open weight labs, models, clients, and initiatives. The glossary…
Google DeepMind researchers published a framework for managing human-AI task delegation, identifying five core requirements including dynamic capability assessment and structural transparency. The pap…
Rohin Shah, head of AGI alignment and safety at Google DeepMind, argued in a recent interview that catastrophic misalignment from advanced AI is not the likely default outcome, despite acknowledging p…
Economists Alex Imas and Phil Trammell discuss the economic implications of artificial general intelligence, including optimal tax and redistribution policies, the potential for inequality, and what w…
London-based startup Airspeed, founded by two former Google DeepMind researchers, has raised $20 million in a Series A round led by DN Capital to deploy autonomous AI agents that execute sales tasks r…
Google DeepMind CEO Demis Hassabis said artificial general intelligence is "a few years away," predicting a 2030 arrival during a Stanford Graduate School of Business fireside chat. Hassabis called AG…
Google released Gemma 4 12B, a 12-billion-parameter model from Google DeepMind, along with tools enabling developers to run agentic AI workflows locally on laptops and everyday machines. The release i…
Google released Gemma 4 12B, a 12-billion-parameter multimodal model designed to run on consumer laptops with 16GB of RAM or VRAM. The encoder-free model accepts text, images, and native audio, and it…
Google DeepMind CEO Demis Hassabis said artificial general intelligence capable of performing cognitive tasks at or beyond human levels is likely to arrive by 2030, ushering in a "new human era." Hass…