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> Linux admin, reverse engineering, VM infrastructure, 3d printing and design, electronics design, radio and signals, docker, K8s, ML, ChatGPT. Wow such breath
by skinnymuch 3y ago
> Linux admin, reverse engineering, VM infrastructure, 3d printing and design, electronics design, radio and signals, docker, K8s, ML, ChatGPT.
Wow such breath. Chronological order makes this even cooler.
I believe I can do some semblance of Linux admin, reverse engineering (depending on what this means), VMs, LLMs.
> Or combining electronics design with ChatGPT allows rapid iterative design
I haven’t advanced with LLMs enough. This sounds interesting though I don’t understand it :)
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Did you get your current job or will get your next one based on ML, or chatgpt? Or is it more to gain these knowledges as they are the clear big new thing that’s actually unique (vs basics like web frameworks)
- pierat 3y agoWell, good question. There's a LOT of stuff I'd like to involve in ChatGPT4, pertaining to organization rules. They're so voluminous, that nobody really knows them, especially around "colors of money" and appropriations committees. That sort of thing. I would love to ingest those rules all in a special enclave of ChatGPT4 run inhouse that we can give it whatever. To talk 'around' where I work, it'd be a felony to do that. But in areas where the data is public , I've played a bit and super surprised at the results. As an example, look up a game you like with rules publicly available. Ingest it in as a url, and start asking it questions. I think you'll be significantly surprised. Also, try asking it strategy questions on win-optimization and rules exploitation. All these easily extrapolate to the real world. The real key is to embrace ML in all forms, and use it to leapfrog your skills. And it took can help show you where to focus given your existing skills and abilities. Try telling it about yourself and just ask!