• 0 Posts
  • 43 Comments
Joined 1 year ago
cake
Cake day: July 12th, 2023

help-circle

  • Did that seem excessively rough? I got a bit of a stomach bug that gave me the ass squirts all morning, so I had a little too much time to myself while on the shitter. Sorry if I went too hard, I was actually just trying to razz you a bit.
    But for real man, lead with the alphabet soup first, then follow with the experience. To anyone without a technical background, a cert just means your company paid for you to go to Vegas and spend a week at a luxury hotel.





  • I know in the network and IT nerd arguments that you like to drag out the alphabet certs to wow each other with your, “I’m so smart” mic drops, but you should really lead with CCIE next time. And THEN follow up with the amount of on hands experience as your big finish rather than doing it the other way around. The problem is that laymen are going to look at the CCIE and think “wow you got a certificate, whooptydoo”. Most people are going to be much more impressed with the thousands of hours of experience over a certificate. I mean, you are already battling hard against the whole extreme pedantry, “douche bag dropping into a laymen’s conversation to brag about how much he knows and schooling everyone on how they are using the terms wrong” thing you are trying to do, so if you are going to try to impress us with how smart you are, you gotta cater to your audience better.




  • I don’t currently have a computer powerful enough to host a top tier LLM like chatgpt4. If I can’t even run it, I sure as shit could never continue to train it with new data. I often use chatgpt with my phone and the thought of doing either one is ridiculous.
    There are ways to make money on open source outside of the open source item itself. Redhat has done just that with Linux.
    An LLM is just software. No matter what algorithm, tool, or fairy magic was used to amalgamate the data it consumed, they all sucked in open source code and just like any other software that includes open source software, it should be subject to the licensing on the open source software, which pretty much means they should be open source themselves. Companies that want to make money off of AI trained on public data can make their money on the value they add, just like redhat.
    The biggest issue I see right now is how to deal with AIs tendency to output data untransformed. Trademark and all those types of licenses are negated as long as the idea within is transformed, but it is really hard to argue transformation when the stupid thing is pooping out word for word quotes, but acting as if it is “new” and transformed.