“In favor” is a strong phrase. “Understanding the inevitable” might be more apt.
What barely works right now will get better. What was slop will surpass the best humans can code soon. I am old enough to remember when “Made in Taiwan” and “Made in Japan” were racist pejoratives for bad quality.
It’s great to love your horse and your ferrier business, but when you’re watching Model T’s roll off the assembly line, even with initial build quality issues, you can see the world is changing.
I don’t think it’s a apt description, this so the first time human knowledge has in anyway been “automated”.
It’s either “doesn’t work” or “does work”.
And once it truly does work it’ll be a different store. These sloperators thing that they have AGI like if they use the correct magic words a real enterprise app will come out. But it’s not true, they are riddles with technical debt, drag, security vulnerabilities and bugs. No matter how many times you sift through them with the LLM.
Once AGI has arrived its a different story. Once coding is “solved” via a AI it’s pretty much the singularity. software development requires critical thinking skills that once acquired will allow them to pretty much do any knowledge job on the planet and actually self improve.
LLMs aren’t it, and when something real comes along I’ll be ok board. LLMs have their use cases but anything outside of automating a call center or a voice assistant is pretty much a anti-pattern.
These aren’t model Ts these are horse drawn wagons with 500 horses so they say they can have as much horse power as a real car does.
This is nowhere near the first time in human history knowledge has been automated: writing, the printing press, mechanization, hard disks, databases, algorithms, the internet, all have done the same.
It isn’t boolean. Programs can be buggy but improve. They aren’t either perfect or nonfunctional.
I don’t know if AGI is achievable. I do know AI will be capable of programming of increasing complexity.
“In favor” is a strong phrase. “Understanding the inevitable” might be more apt.
What barely works right now will get better. What was slop will surpass the best humans can code soon. I am old enough to remember when “Made in Taiwan” and “Made in Japan” were racist pejoratives for bad quality.
It’s great to love your horse and your ferrier business, but when you’re watching Model T’s roll off the assembly line, even with initial build quality issues, you can see the world is changing.
I don’t think it’s a apt description, this so the first time human knowledge has in anyway been “automated”.
It’s either “doesn’t work” or “does work”.
And once it truly does work it’ll be a different store. These sloperators thing that they have AGI like if they use the correct magic words a real enterprise app will come out. But it’s not true, they are riddles with technical debt, drag, security vulnerabilities and bugs. No matter how many times you sift through them with the LLM.
Once AGI has arrived its a different story. Once coding is “solved” via a AI it’s pretty much the singularity. software development requires critical thinking skills that once acquired will allow them to pretty much do any knowledge job on the planet and actually self improve.
LLMs aren’t it, and when something real comes along I’ll be ok board. LLMs have their use cases but anything outside of automating a call center or a voice assistant is pretty much a anti-pattern.
These aren’t model Ts these are horse drawn wagons with 500 horses so they say they can have as much horse power as a real car does.
This is nowhere near the first time in human history knowledge has been automated: writing, the printing press, mechanization, hard disks, databases, algorithms, the internet, all have done the same.
It isn’t boolean. Programs can be buggy but improve. They aren’t either perfect or nonfunctional.
I don’t know if AGI is achievable. I do know AI will be capable of programming of increasing complexity.