Welcome to the Jon Myer Podcast, powered by Myer Media! Fresh off the keynote stage at AWS re:Invent 2025, we sit down with Nathan from Metal Toad, an AWS partner helping organizations navigate digital transformation and cloud-native deployment.We unpack the biggest announcements from today's keynote, why they matter, and how these innovations translate into real-world opportunities for enterprises—including when AI might NOT be the right solution yet.Key Topics Discussed:✅ Fine-tuning and distilling models: Making small models more accessible✅ Why small models are the future for accuracy, speed, and edge deployment✅ Nova snapshots: Starting 90% through training, saving millions in costs✅ Real-time AI responses: From 2-3 seconds down to half a second✅ Maintaining engineer flow state with faster AI interactions✅ Kiro going GA: Immediately usable for teams✅ The honest ROI conversation: When NOT to implement AI✅ Moving AI to the edge: Reducing cloud cost variability✅ Trends for 2026: Edge AI adoption accelerating faster than anticipatedNathan's Insights:💡 "Small models can run on smaller form factors—you could actually move them to the edge and run directly on a laptop"💡 "Getting something done to deliver value is better than stopping and starting something newer and shinier"💡 "Calculate ROI first. If it takes 40 hours to implement for 2 hours a week savings, is that worth it?"💡 "Sometimes we tell clients: you don't need AI yet. Building that trust is more important than making a sale"This conversation helps you separate hype from practical implementation, understand immediate opportunities vs. strategic planning needs, and know when to wait before jumping on the AI bandwagon.Guest: Nathan, Metal ToadHost: Jon MyerRecorded at: AWS re:Invent 2025, Las VegasYouTube Timeline