I switched to an AI browser that runs its own local LLM, and I'm not going back to Perplexity or Chrome
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Live now
"Opus 4.8 thinks too much", "Muse Glimmer sits between Gemma and Qwen, that's boring", "Gemma 4 is too lazy"
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Gemma Translator: offline DIY translation device built with Gemma 4 + Antigravity
Gemma 4 12B Demo: Native Audio Processing in Google AI Edge Eloquent
Bring the power of on-device AI to life with Google AI Edge and Gemma
Gemma 4 Hits 200M+ Downloads: 3 Amazing Local Builds
Building android apps with Gemma 4 for AI coding assistance
Google just casually disrupted the open-source AI narrative…
How to build on-device AI with Gemma 4
Build intelligent Android apps with Google's AI
Top 3 AI on Android updates for building intelligent experiences (Google I/O 2026)
Google Cloud Live: Accelerate data science and analytics with GPUs
Top stories
My 7-year-old GPU runs local AI perfectly, and I don't need my cloud subscriptions anymore
…That's exactly why models like Google's Gemma 4 26B carry the knowledge-base of a 26-billion parameter model while only activating 4 billion at a given time. MoE and…
Tired of burning through expensive ChatGPT usage limits just to get mediocre answers? Try the free ‘local AI’ trick that unlocks the perfect prompt every single time
…Popular options include lightweight open models like Google 's Gemma 4, Meta 's Llama 4 Scout, Microsoft's Phi-4, and compact models from Mistral and Qwen. These models are readily available…
The Gemini theory of everything
["google","gemini","google-gemma","google-pixel"]
Discussions and forums
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
12
Gemma 4 for Telephony: From Two AI Models to One – Until I Switched to Chinese
Gemma 4 for Telephony: From Two AI Models to One – Until I Switched to Chinese
4
Show HN: Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU
I wanted to know how fast a 26B mixture-of-experts model could run on a desktop CPU with no GPU. Got ~40 tok/s single-stream (lossless) and ~124 batched. The surprising part was the byte budget: for this model you compre…
10
1
Google's $100 AI Ultra is still overpriced, and here's what I use instead
…If you want Google AI, you have other options While you aren't going to get the frontier model on the open source versions, Google Gemma 4 runs on a virtual toaster…
How to run a local AI chatbot on your iPhone - Engadget
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