Suddenly Local AI Is Impossible to Ignore (But There's a Catch)

Local AI finally got good. Google's new Gemma 4 runs on a MacBook (and even on a phone) and performs about as well as the best frontier model from a year ago. Free & Offline!
In this video, I break down why local AI suddenly matters, walk through Gemma 4's real specs (not the cherry-picked charts), and test it on my M4 Pro MacBook using OpenCode, OpenClaw, and the Pi coding agent. I also rented an 80GB GPU on RunPod to try the biggest version of Gemma 4 on a more complex coding task - my own YouTube Copilot app.
If you've been wondering if it's finally time to take local AI more seriously - this video is worth a watch!

⏱ Timestamps
00:00 - How we got here
01:30 - Gemma 4
03:30 - Testing (OpenCode / OpenClaw / Pi Agent)
08:00 - Future Takeaway

🔗 Tools mentioned:
Ollama — https://ollama.com
LM Studio — https://lmstudio.ai
Google AI Edge Gallery (iOS / Android)
OpenCode, OpenClaw, Pi coding agent
RunPod (for renting GPUs)

💬 Got a more powerful machine? Running your own local setup? Drop your experience in the comments - I'd love to hear what's working for you.
👍 If this helped, smash that like button and subscribe for more hands-on AI experiments.

#LocalAI #Gemma4 #Ollama #OpenSourceAI #LLM #AI #GoogleGemma