Ep 751: Hands on with Google’s Gemma 4: How to Use The Open Source Model Locally and Why It Matters

Is Vibe Coding dying already? Or, is will it be as essential to the next decade of work as the browser was for the past 20 years? And how can your company balance the speed and innovation side of vibe coding without accidentally leaking data or building a product that breaks more often than it works? We'll break down the basics on this Start Here Series deep(ish) dive into Vibe Coding. The Vibe Coding Boom: Why Vibe Coding isn't Going Away and How it's Both Good and Bad -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Google Gemma 4 Open Source LaunchGemma 4's Apache 2.0 Licensing ExplainedGemma 4 Model Variants & Hardware RequirementsSmall Language Models vs. Large Model PerformanceBenchmarking Gemma 4 Against Top AI ModelsLocal AI Model Deployment Benefits & PrivacyHands-on Guide: Running Gemma 4 LocallyLive Performance Test: Coding, Reasoning & LogicInstruction Following and Creative Output DemoFuture Impact: Open Source AI for BusinessesTimestamps:00:00 Gemma 4 release and features05:13 Free AI models with GEMMA 406:39 Gemma's groundbreaking AI performance10:26 Running AI models on MacBooks14:32 Comparing model size and performance16:48 Local AI benefits and privacy22:11 Comparing AI models hands-on25:01 AI solves river crossing puzzle27:13 Fun trick question example32:26 Brainstorming creative marketing strategies35:48 Uploading files for transcript analysis38:16 Comparing AI models for tone and style40:12 Running AI locally on your deviceKeywords: Google Gemma 4, Gemma four, open source AI model, local AI model, Apache 2.0 license, AI on local machine, run AI offline, mixture of experts, 31B parameter model,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)