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

Shownote

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 sur...

Highlights

Open-source AI has moved from a niche experiment to a serious enterprise alternative. This episode explains why shrinking performance gaps, cheaper APIs, local models, and always-on agents are changing how organizations should choose and deploy AI.
02:25
The open-source versus closed-source decision is now a boardroom issue
09:43
The ELO gap has narrowed by about 90%.
15:49
Frontier AI can now run locally for free
20:30
Open models are crashing the price of intelligence
24:30
A hundred agents can become dramatically cheaper
29:49
Do not use the neurosurgeon for every task
32:53
Self-hosted models enable full control
35:33
Specialized models are the next wave

Chapters

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

Transcript

Jordan Wilson: Welcome to the Everyday AI podcast. My name is Jordan Wilson and for the past three and a half years, we put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on the...