9. Gemma 4 Vision running on Pixel 10 Pro
https://nitter.net/ai_for_success/status/20397654977477960651 [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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9. Gemma 4 Vision running on Pixel 10 Pro
https://nitter.net/ai_for_success/status/20397654977477960651 [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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8. MacBook Neo (A17 Pro chip) running Gemma 4 26B https://t.co/Jbnp3SHNnc
— AI Highlight (@AIHighlight) 6 avril 2026
8. MacBook Neo (A17 Pro chip) running Gemma 4 26B nitter.net/anemll/status/20398098… Anemll (@anemll) Here is gemma-4-26B-A4B-it on A17 Pro chip w/8GB memory ( MacBook Neo) ~ 7 t/s running on AMX ( GPU is slower on A17) Gemma's 4 expert is x2.3 larger than Qwen See Qwen 35B below — https://nitter.net/anemll/status/2039809802025795841#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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7. Local VLM app that works in airplane modehttps://t.co/5Nfg5CfGCf
— AI Highlight (@AIHighlight) 6 avril 2026
7. Local VLM app that works in airplane mode
nitter.net/GOROman/status/2039971… null-sensei (@GOROman) I created an app using Gemma 4 that explains what's shown on a smartphone camera. Since it's a local VLM, it works even in airplane mode. [Image: thumbnail] — https://nitter.net/GOROman/status/2039971116756910092#m [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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6. Gemma 4 tops all open source models in cybersecurity benchmarks nitter.net/cyb3rops/status/203982… Florian Roth ⚡️ (@cyb3rops) Gemma 4 outperforms all other open source models in my cyber security related benchmark set — https://nitter.net/cyb3rops/status/2039820104456696000#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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5. Running on iPhone 17 Pro Maxhttps://t.co/FWOXP52R8S
— AI Highlight (@AIHighlight) 6 avril 2026
5. Running on iPhone 17 Pro Max
nitter.net/billtheinvestor/status/2039805141876871376 Bill The Investor (@billtheinvestor) Gemma 4 E2B debuts on iPhone 17 Pro Max, AI Edge Gallery makes first appearance. — https://nitter.net/billtheinvestor/status/2039805141876871376#m [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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4. Private AI setup with Mac Studio + Tailscalehttps://t.co/yPiuFb5E9K
— AI Highlight (@AIHighlight) 6 avril 2026
4. Private AI setup with Mac Studio + Tailscale nitter.net/ggerganov/status/20398… Georgi Gerganov (@ggerganov) Pro tip – hook your PC and Phone with Tailscale and enjoy fast and private inference on the go. Here is Gemma 4, hosted on Mac Studio, streaming to my iPhone. No 3rd party apps. Same WebUI experience everywhere. — https://nitter.net/ggerganov/status/2039804601810001921#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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3. Vision capabilities in browserhttps://t.co/qKwgZn9TMY
— AI Highlight (@AIHighlight) 6 avril 2026
3. Vision capabilities in browser nitter.net/measure_plan/status/20… AA (@measure_plan) i spent the afternoon experimenting with Gemma 4's vision capabilities made an app that uses roboflow RF-DETR for a first pass of object detections and Gemma to summarize the scene in one sentence for fun i asked Gemma to "describe what you see as if you were a medieval bard" all made with free local AI models (running via webgpu in the browser thanks to transformers js) lots more possibilities to explore with this — https://nitter.net/measure_plan/status/2039815699695104343#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC

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2. Run Gemma 4 entirely in your browser nitter.net/ClementDelangue/status… clem 🤗 (@ClementDelangue) You can run Gemma 4 100% locally in your browser thanks to HF transformers.js. That means 100% private and 100% free! @xenovacom created a demo for it here: huggingface.co/spaces/webml-… — https://nitter.net/ClementDelangue/status/2039782910996148508#m [Translated from EN to English]
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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1. Mac Studio M2 Ultra running Gemma 4 26B at 300 tokens/sechttps://t.co/XXyps9Y7OQ
— AI Highlight (@AIHighlight) 6 avril 2026
1. Mac Studio M2 Ultra running Gemma 4 26B at 300 tokens/sec nitter.net/ggerganov/status/20397… Georgi Gerganov (@ggerganov) Let me demonstrate the true power of llama.cpp: – Running on Mac Studio M2 Ultra (3 years old) – Gemma 4 26B A4B Q8_0 (full quality) – Built-in WebUI (ships with llama.cpp) – MCP support out of the box (web-search, HF, github, etc.) – Prompt speculative decoding The result: 300t/s (realtime video) — https://nitter.net/ggerganov/status/2039752638384709661#m
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC
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Google dropped Gemma 4 less than 48 hours ago. People are already building wild stuff with it. Here are 10 examples:
→ View original post on X — @aihighlight, 2026-04-06 12:42 UTC