Whiskey, open source, and artificial intelligence
summary
Modern embedded systems face concrete risks: OSS brings licensing compliance issues, no guaranteed support, unknown contributor intent, and huge codebases such as 38 million lines of code in Linux, which is argued to be impossible to make intrinsically safe so systems require separation kernel or hypervisor isolation. AI workflows need a model freeze, redundancy and safety checkers, careful supply‑chain provenance, and awareness that cloud GPUs drive rising energy use and nondeterministic, probabilistic outputs.
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chapters (11)
- 0:00Complexity and whiskey
- 1:35Embedded systems complexity
- 3:40Open source challenges
- 6:07Understanding artificial intelligence basics
- 9:39AI risks and examples
- 12:31Energy demands of AI
- 14:36AI in software dev
- 17:10Safe AI adoption
- 18:34Software selection
- 19:35Critical systems separation
- 21:00Q&A
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