Hi All!
I'm keeping an eye on advancements in LLMs and AI, but I'm not overly involved in it.
I've used LLMs for for helping me write backstories and create monster statblocks in my D&D game. I work as a sustainability consultant (e.g., I evaluate the sustainability of products and systems and suggest ways to improve them) with a PhD, and I've used some LLMs for background research and to help find additional resources. I did quickly learn to verify what I'm told after seeing bad unit conversions and unbalanced stoichiometry, but it's still been useful in some situations.
We're not really allowed to do anything much deeper because we can't give them any actual data from ourselves or our clients.
That's just some background on me, but my real question is what are the most important things we/I can do to prepare for AI capabilities coming in next few to several years.
What do you see happening? Is there even a point to preparing or is it so uncertain and will be so drastically different from the status quo that we really just need to wait and see?
What do people think?
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