So, I have an automation that checks the month and applies a scene accordingly. I could never get it to work quite right though. Every time it was supposed to trigger a specific scene, it would just default to a base scene. I ran it through DDG AI and it found a single line that was causing the “choose” to fail and defaulted to the default scene. Not a fan of LLMs/AI but this actually helped.
Once we summit the peak of inflated expectations and the bubble bursts hopefully we’ll get back to evaluating the technology on its merits.
LLM’s definitely have some interesting properties but they are not universal problem solvers. They are great at parsing and summarizing language. There ability to vibe code is entirely based on how closely your needs match the (vast) training data. They can synthesise tutorials and stack overflow answers much faster than you can. But if you are writing something new or specialised the limits of their “reasoning” soon show up in dead ends and sycophantic “you are absolutely right, I missed that” responses.
More than the technology the social context is a challenge. We are already seeing humans form dangerous parasocial relationships with token predictors with some tragic results. If you abdicate your learning to an LLM you are not really learning and that could have profound impacts on the current cohort of learners who might be assuming they no longer need to learn as the computer can do it for them.
We are certainly experiencing a very fast technological disruption event and it’s hard to predict where the next few years will take us.