In the meantime keep learning and practicing cs fundamentals, ignore hype and build something interesting.
In the meantime keep learning and practicing cs fundamentals, ignore hype and build something interesting.
Anyone who tells you they know what the future looks like five years from now is lying.
On a codebase of 10,000 lines any action will cost 100,000,000 AI units. One with 1,000,000 it will cost 1,000,000,000,000 AI units.
I work on these things for a living and no one else seems to ever think two steps ahead on what the mathematical limitations of the transformer architecture mean for transformer based applications.
Humans also keep struggling with context, so while large contexts may limit AI performance, they won't necessarily prevent them from being strongly superhuman.
It’s like asking a college student 4th grade math questions and then being impressed they knew the answer.
I’ve use copilot a lot. Faster then google, gives great results.
Today I asked it for the name of a French restaurant that closed in my area a few years ago. The first answer was a Chinese fusion place… all the others were off too.
Sure, keep questions confined to something it was heavily trained on, answers will be great.
But yeah, AI going to get rid of a lot of low skilled labor.
No, it's more like asking a 4th-grader college math questions, and then desperately looking for ways to not be impressed when they get it right.
Today I asked it for the name of a French restaurant that closed in my area a few years ago. The first answer was a Chinese fusion place… all the others were off too.
What would have been impressive is if the model had replied, "WTF, do I look like Google? Look it up there, dumbass."
What's the point of this anecdote? That it's not omniscient? Nobody is should be thinking that it is.
I can ask it how many coins I have in my pocket and I bet you it won't know that either.