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joshmarinacci | 5 days ago
Seriously. I've been through too many hype cycles to count. In a few years we will look back on this and see three things:
* Both the downsides and upsides were exaggerated
* A lot of VCs lost money and many of the trillion dollar buildouts didn't happen
* after the hype died down we figured out what AI was actually good for, and what it wasn't.
mathgladiator|5 days ago
I have a claude "skill/program/mega-prompt" for health: https://github.com/nexivibe/md/blob/main/DOCTOR.md
I gave it absolutely everything, and praise be to the machine I get the best debate and recommendations I've ever seen. I check what I know to be true, and it's there. I check the logic, and it is sound. I check the medication recommendations and they are legit. I bet in 2030, AI will be able to prescribe medicine.
mwigdahl|5 days ago
judahmeek|4 days ago
How are you going to follow that up with a single anecdotal example?
Respectfully, shame on you.
That said, summary (information compression) along with low-level inference does seem to be the tasks that A.I. is best at right now. Little surprise there. Information compression is the sole purpose of the attention transformer in the first place.
bsaul|5 days ago
My way of coping with it is to just go with the flow and learn all the new technics there is to learn, until the machine replaces us all.
lysace|4 days ago
From her perspective:
1. Radio
2. TV
3. Internet
4. ?