Ep 865: Open Source AI 101: Why Local Models, Cheap APIs, and AI Agents Change Everything (Start Here Series Vol 24)

Until a few months ago, open source AI was kinda a hobby project.

Now, it's tearing corporate boardrooms apart.

Why?

Over the past 6ish months, the gap between frontier closed AI and open sourced AI has shrunk to pretty much nothing. And with the surge of always on agents driving open models, their development and release schedule is on pace with the frontier labs.

So if your team isn't paying attention to -- and running test cases through -- open AI models, there's a good chance you'll either be overpaying or playing catch up soon.

We walk you through the 101 and what you need to know when it comes to open source AI in this Start Here Series special.

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Topics Covered in This Episode:
• Open Source AI vs Closed Models Shift
• Chinese Model Distillation & Legal Impacts
• Enterprise AI Cost Triage Strategies
• Google Gemma 4 Local Model Capabilities
• Frontier Model Performance Gap Closing
• 24/7 Agentic AI Systems Overview
• API Pricing War: DeepSeek vs US Vendors
• Legal Protection Tradeoffs for Open Source AI
• AI Workflow Triage: Task-Specific Models
• Future Trends: Local and Specialized LLMs

Timestamps:

00:00 Introducing the Firefly AI assistant
03:33 Open source AI cost benefits
09:25 AI model performance differences
10:19 Open source model improvements
15:28 Advancements in local AI capabilities
17:04 Impact of Google's Gemma four
22:15 Introducing Adobe's Firefly AI Assistant
24:19 Adobe Firefly AI assistant beta launch
29:26 Choosing the right AI tools
32:00 Shifting workloads to open source
33:31 Using open-source and closed models
36:47 The future of open models

Keywords:
open source AI, open source models, local AI models, local models, closed source AI, closed models, proprietary AI, proprietary models, AI agents, agentic AI, AI workflow triage, cheap API, AI API costs, model distillation, Chinese open source models, China AI models, US AI models,
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