What if we built AI like Linux? Downloading a model doesn't tell you what went into making it, and bigger models aren't always better.
I sit down with Greg Kurtzer, founder of CentOS, to discuss what truly open-source AI could look like. Greg shares his work on Open Waldo, his experience training models on his own hardware, and why scaling up actually made one of his models worse.
We explore smaller local models, transparent training data, privacy, copyright, and the security risks of AI agents. We also discuss how the Linux and open-source communities can help make AI more accessible.
CentOS was my first Linux distribution, so this conversation meant a lot to me. It also left me wanting to build my own model.
What would you train a local AI model to do?
Sponsored by Blacksmith https://link.christitus.com/blacksmith
Chapters:
00:00 Meet Greg Kurtzer
01:08 Blacksmith Sponsor
02:31 Open Weights Versus Open Source
05:23 Why Open Source Matters
06:51 Enterprise Trust
07:54 Smaller Specialized Models
09:49 Smarter AI Training
10:49 Building Models From Scratch
14:22 Foundation Versus Frontier Models
15:41 Privacy And Copyright
17:39 Contributing Training Data
19:42 AI Alignment And Consciousness
22:10 Security And Accountability
25:40 Model Bias And Trust
26:42 Breaking The Knowledge Barrier
28:25 Bringing Communities Together
31:31 AI For Everyone
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