Why running local AI is like being a PC gamer.
Collin Thomas uses a vivid analogy, comparing the expertise needed to run local AI models to PC gamers overclocking their rigs.
Read → Why you need to turn your training data off right now.
Michael Wacht gives a 17-second warning on why you should turn off training data sharing in your AI tools, and what companies retain if you don't.
Read → Why you should build your organization system for the AI, not for yourself.
- Jacob Brodsky
- Collin Thomas
- Michael Wacht
- Matthew Sutherland
Jacob Brodsky, Collin Thomas, Michael Wacht, and Matthew Sutherland discuss why your current organization system will inevitably need to change. They explain why you should keep your core method stable while swapping the underlying parts, and why building structure for a machine to read is more important than building it for human readability.
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