I think the pace of development is such that it’s only a few years before humans are no longer in the chain of decision making. It was just 2017 when the infamous transformer paper came out.
“AI” in its current iteration is a distillation of human knowledge. It lowers the barrier to access to long standing programming libraries that make people think it is some sort of smart. It seems intelligent because it’s imitating the things we have already created.
Yeah, that’s what bothers me so much. It doesn’t get “smarter” or imagine novel solutions. It simply has access to everything that’s already existed.
I’m scared we’re gonna have already experiencing some kind of intellectual slump because handing everything to the machine built on existing knowledge…doesn’t yield any new ideas.
I’m sure they’re still banking on human brains having new ideas, so they can simply steal them and feed those new ideas to the machine. Then they’ll tell the ideator their brain is irrelevant thanks to the industrialized intellect-theft device.
The intellectual divide will be deepened significantly by “AI”.
Ive never heard dumber conversations than people thinking “AI” is solving some hard problem. Here are a few examples:
It pulls text out of a pdf
It can read data out of a dwg
It can overlay data into a 3d model
It can update configuration data across lots of code
All of these could easily be done before, people were just too stupid to know how to do it without typing a stupid prompt and wasting resources to do it.
I wonder if this whole phenomenon could be explained by a Dunning-Kruger type effect. Where dumb people see “AI” as a great solution, and those on the smarter side see straight through it as a loud over juiced parrot.
Neurons are incapable of reasoning they’re just firing based on a deterministic action potential. What are neural networks doing but creating internal models of reality and guessing what’s next based on patterns?
The white paper on the fundamentals of the current AI push. Everything is for the most part based on that architecture from 2017 but with cleaver twist or two.
I think the pace of development is such that it’s only a few years before humans are no longer in the chain of decision making. It was just 2017 when the infamous transformer paper came out.
A stupid person would believe this.
“AI” in its current iteration is a distillation of human knowledge. It lowers the barrier to access to long standing programming libraries that make people think it is some sort of smart. It seems intelligent because it’s imitating the things we have already created.
Yeah, that’s what bothers me so much. It doesn’t get “smarter” or imagine novel solutions. It simply has access to everything that’s already existed.
I’m scared we’re
gonna havealready experiencing some kind of intellectual slump because handing everything to the machine built on existing knowledge…doesn’t yield any new ideas.I’m sure they’re still banking on human brains having new ideas, so they can simply steal them and feed those new ideas to the machine. Then they’ll tell the ideator their brain is irrelevant thanks to the industrialized intellect-theft device.
The intellectual divide will be deepened significantly by “AI”.
Ive never heard dumber conversations than people thinking “AI” is solving some hard problem. Here are a few examples:
All of these could easily be done before, people were just too stupid to know how to do it without typing a stupid prompt and wasting resources to do it.
I wonder if this whole phenomenon could be explained by a Dunning-Kruger type effect. Where dumb people see “AI” as a great solution, and those on the smarter side see straight through it as a loud over juiced parrot.
LLMs are incapable of reasoning. They just guess the next token.
Neurons are incapable of reasoning they’re just firing based on a deterministic action potential. What are neural networks doing but creating internal models of reality and guessing what’s next based on patterns?
LLMs do not fit as neurons in your comparison.
Brains can reason, LLMs cannot.
What is the transformer paper
The white paper on the fundamentals of the current AI push. Everything is for the most part based on that architecture from 2017 but with cleaver twist or two.
Just googled it: https://en.wikipedia.org/wiki/Attention_Is_All_You_Need