I’m a slow adopter of new technologies like AI LLMs. My reasoning is that if it turns out to actually be a good product, then it will eventually prove itself, and the early adopters can be the “beta testers” so to speak. But if it turns out to be a bad product, then I won’t have wasted my time on something that isn’t worthwhile.
Maybe a day comes when I start using these tools, but they clearly just aren’t all that useful in their current form. In all honesty, I’m pretty sure that they will never be useful enough for me to consider them worth learning, but definitely not so today.
I’m a slow adopter of new technologies like
AILLMs. My reasoning is that if it turns out to actually be a good product, then it will eventually prove itself, and the early adopters can be the “beta testers” so to speak. But if it turns out to be a bad product, then I won’t have wasted my time on something that isn’t worthwhile.Maybe a day comes when I start using these tools, but they clearly just aren’t all that useful in their current form. In all honesty, I’m pretty sure that they will never be useful enough for me to consider them worth learning, but definitely not so today.
I’m interested to see in 5 years or so, once all the hyper-hype is hopefully subsides, what actual uses remain and how they look.
Yeah if anything all the people screeching that you have to adopt now or you’ll be replaced by those that do just destroy their credibility.