Yeah it’s weird a lot of people are stuck on fat off on either sides of the sensible opinion - some people seem to think that their ten min with Chat gpt 3.5 was enough to demonstrate that the whole concept of LLMs is stupid while others think it shows them that it’s a godlike technology incapable of error.
Reality is there’s a lot of great ways AI and especially LLMs can currently help education but we’re far from it being ready to replace human teachers. Probably in five years it’ll be a standard part of most educations systems much like how online homework portals and study guides have become since my own time in school, maybe by 2035 well have moved to systems where ai education tools are in every school and providing higher quality education than most human teachers, possibly by 2040-50 home schooling via ai tools will be a more common option than other forms of education.
Though I wouldn’t be too shocked if it happened sooner it will require new developments in AI that aren’t yet in the development stage.
That all said I bet this article is exaggerating reality and they will have human teachers involved at every step and overseeing activities.
possibly by 2040-50 home schooling via ai tools will be a more common option than other forms of education.
Taught by nuclear powered robots and we will get around in flying cars and have transporter technology and the future will be predicted through quantum computing and someone will have figured out how to heat up a hot pocket that doesn’t burn the roof of your mouth.
Only major problem with this line of thought is it underestimates the challenges of teaching.
Teaching is about more than just providing the material, if that was enough we could have automated teaching a long time ago. A teacher has to be able to understand and diagnose the source of a students confusion, and compose a solution. This is a very complex problem, due to how much individual people vary in their thinking, experiences and knowledge base.
I love this whole “eventually” piece tacked on to talks about LLMs as if they’re more than a prediction model for what word comes next.
It’s akin to “the rest of the fucking owl” like there’s some magical simple step between LLM and full blown AGI.
These “AIs” teaching these kids will be pulled out of use the moment the kids figure out how to bypass the guardrails.
Yeah it’s weird a lot of people are stuck on fat off on either sides of the sensible opinion - some people seem to think that their ten min with Chat gpt 3.5 was enough to demonstrate that the whole concept of LLMs is stupid while others think it shows them that it’s a godlike technology incapable of error.
Reality is there’s a lot of great ways AI and especially LLMs can currently help education but we’re far from it being ready to replace human teachers. Probably in five years it’ll be a standard part of most educations systems much like how online homework portals and study guides have become since my own time in school, maybe by 2035 well have moved to systems where ai education tools are in every school and providing higher quality education than most human teachers, possibly by 2040-50 home schooling via ai tools will be a more common option than other forms of education.
Though I wouldn’t be too shocked if it happened sooner it will require new developments in AI that aren’t yet in the development stage.
That all said I bet this article is exaggerating reality and they will have human teachers involved at every step and overseeing activities.
Taught by nuclear powered robots and we will get around in flying cars and have transporter technology and the future will be predicted through quantum computing and someone will have figured out how to heat up a hot pocket that doesn’t burn the roof of your mouth.
Only major problem with this line of thought is it underestimates the challenges of teaching.
Teaching is about more than just providing the material, if that was enough we could have automated teaching a long time ago. A teacher has to be able to understand and diagnose the source of a students confusion, and compose a solution. This is a very complex problem, due to how much individual people vary in their thinking, experiences and knowledge base.