Google DeepMind
5 published articles
Open source
Gemma 4 hit 300 million downloads. The math that broke the cloud model is why.
Google DeepMind's Gemma 4 reached 300 million downloads, a milestone signaling that the open-weight model's economic argument is finally beating the proprietary API pitch. Architectural efficiency and self-hosting costs are driving the shift.
2026-07-24
Model watch
The Gemini 3.6 flash leak has a far more interesting question: where's the pro?
A leak suggests Google is testing a 'Gemini 3.6 flash' model while the expected 3.5 pro remains absent. The version jump could mean a reshuffle of the Gemini roadmap, or a mislabeled internal build.
2026-07-21
Google DeepMind
Gemma 4 just made every other open-weight model look 10x too big
Google DeepMind's Gemma 4 natively multimodal open-weight family introduces thinking mode, encoder-free architecture, and MoE options. The 2.3B model matches Gemma 3's 27B performance. The 31B model tops open-weight leaderboards.
2026-07-13
Open Weights Analysis
Gemma 4 is infrastructure, not a chatbot. That changes the math on self-hosting AI.
Google DeepMind's Gemma 4 is an open-weight model designed for self-hosting and customization, not consumer chat. This analysis compares it to ChatGPT, Claude, and Qwen-3.5 across licensing, privacy, and deployment flexibility, revealing why it matters for regulated industries and on-device AI.
2026-07-10
Google DeepMind
Google DeepMind's Gemma 4 turns 26 billion parameters into a reasoning machine that fits on one GPU
Google DeepMind's Gemma 4 technical report details a family of open-weight models with mixture-of-experts, 1M-token context windows, and multi-modal vision. The release signals a strategic play to bring frontier-level reasoning to developers without the cost of proprietary APIs.
2026-07-09