What gets me is that even the traditional business models for LLMs are not great. Like translation, grammar checking, etc. Those existed before the boom really started. DeepL has been around for almost a decade and their services are working reasonably well and they’re still not profitable.
As someone who sometimes makes demos of our own AI products at work for internal use, you have no idea how much time I spend on finding demo cases where LLM output isn’t immediately recognizable as bad or wrong…
To be fair it’s pretty much only the LLM features that are like this. We have some more traditional AI features that work pretty well. I think they just tagged on LLM because that’s what’s popular right now.
Sometimes mandatory web proxies still allow direct connections to port 443 so as to not break https, which in return means as long as your connection is to port 443, that proxy will pass it through without interfering.
I used to run sshd on port 443 for this reason back when I regularly had to work from client networks.
I played MIDI Maze on Atari ST as a kid, that was long before Quake…
Later in high school we played Doom over IPX.
Well it’s not improving my productivity, and it does mostly slow me down, but it’s kind of entertaining to watch sometimes. Just can’t waste time on trying to make it do anything complicated because that never goes well.
Tbh I’m mostly trying to use the AI tools my employer allows because it’s not actually necessary for me to believe that they’re helping. It’s good enough if the management thinks I’m more productive. They don’t understand what I’m doing anyway but if this gives them a warm fuzzy feeling because they think they’re getting more out of my salary, why not play along a little.