Google DeepMind
Google DeepMind is Alphabet's AI division, home of the Gemini model family, the Nobel-recognized AlphaFold and the Veo video generator. Through Google Search, Android and the cloud, its models reach billions of users. This page gathers all our coverage of Google and DeepMind: models, research and products.

BotHub compiled 15 AI services for code, images, video, music, and everyday work
BotHub released a roundup of 15 AI services — from Cursor and Firebase Studio to Suno and Kling AI — and showed how the AI market is fragmen

Cloud.ru named five boring tasks that Big Tech is already handing over to AI assistants at scale
Cloud.ru compiled five categories of corporate routine that businesses are already handing over to AI: from support and code to legal search

Moonshot AI releases Kimi K2.6 — a model with a swarm of a thousand AI agents
Moonshot AI has launched Kimi K2.6, a model that can run up to a thousand parallel agents to tackle complex engineering tasks. The new appro

DEMIURGOS adds a rules debugging mode for AI agents and support for 20+ tools

Alphabet and Amazon show returns from AI while Meta lags in the investment race

Gamma, Tome and SlidesAI: Which AI Services Actually Speed Up Presentation Creation

Nvidia, Google and Anthropic: Nemotron, Firefox bugs and worrying signals for the AI market

ChatGPT and data centers: how AI growth is accelerating energy use and pressure on water
The growth of ChatGPT and other AI services is driving data-center construction, increasing demand for electricity and water, while the Quit

OpenAI, SoftBank and Oracle Argue Over Stargate as Mega Data Center Project Stalls
Stargate, a project worth up to $500 billion conceived as OpenAI’s computing backbone, is slowing as the partners argue over structure, fund

Google radically updated Maps: Gemini answers questions, and navigation is now 3D

Gemini 3.1 Pro outperformed ChatGPT 5.4 and Claude Opus 4.6 in a text generation test

Zhipu AI releases GLM-OCR, a compact 0.9-billion-parameter OCR model for documents

Why Claude 4.6 Isn't Enough Without Context: The Main Blind Spot in LLM Development

Google released Gemini Embedding 2 for multimodal RAG with video, audio, and PDF
Google released Gemini Embedding 2, a model that embeds text, images, video, audio, and PDF into a single space and simplifies building mult

Google AI Ultra: how to turn a subscription into a pool of parallel agents and model consensus
Google AI Ultra is being proposed as the foundation for a multi-agent stack: run parallel Gemini workers, delegate routine tasks, and cross-









