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Joined 2 years ago
Cake day: January 16th, 2024
  • Pulled up my phone and seriously thought this was a picture of me from like 15 years ago. Then I realized how common the look is among this industry.

    Reminds me of a time a couple years ago when I took a brewery tour around Boston. Every. Single. Guy. Including myself and the driver/tourguide…looked exactly like this guy, with a beer gut and a plaid shirt.

  • It would have to be a more obscure, archaic language that’s barely even spoken of on the internet.

    I asked ChatGPT once about their proficiency in languages, both human and computer. They responded that they are most proficient in English and Python, largely because they are the most written/documented languages on the internet.

    I forgot where it ranked other languages…I think it said it was pretty decent in Mandarin and most latin-derived tongues. I uninstalled the app so not about to go through my chats with it and try to find it.

    However, ChatGPT is known to write in ways to appease the user, and I’ve almost exclusively spoken to it in English and asked it python questions.

    I do wonder if somebody who primarily used ChatGPT in, say, French, and account history had a lot of C questions, if it would answer differently.

  • Link shorteners and redirectors, especially new and lesser-known ones tend to get caught in the fray with things like Google Safe Browsing (which FF uses as well) and Smart Screen.

    It’s because the original/shortened link gets reported and not the real/destination site. Then the domain (of the shortener/redirector) gets flagged, instead of the real site.

    This happened to me at work this very week, with a redirector service that’s a part of our email security stack. FF and Chrome were both blocking links that were safe, because the redirector service itself was classified as sus.

  • Ime Google AI is much worse about making up wrong answers to sound right.

    If I’d ask ChatGPT and Google AI to help me craft a set of Ansible tasks to do something rather simple but also something I don’t do very often, like converting PEM certs + key to PKCS12…they’d both write a playbook that’s close, but ChatGPT would be much closer.

    But they both say crazy shit sometimes. The other day ChatGPT told me Fedora 40 is the latest release and 43 is still in testing.

  • Fork the repo.

    Ask an LLM to rename all the variables and add comments and docstrings. Give it your style guide (assuming you have one).

    Ask another LLM to check their work.

    Done.

    Disclaimer: I’m not a programmer, I’m a network engineer who dabbles in automation and scripting. But it seems to me that grunt work like this is what LLMs are really good for.

    Also I only use short variable names inside of loops (for i in iterable…). Is that not how it should be done?