Dude. Take a chill in the bathtub and touch grass. AI is never taking my job, since it’s physical labor since I removed myself from the computer industry 15 years ago. But as someone who studied AI and LISP (which was mired in the previous AI craze), it’s not actually wrong to have animosity and be skeptical about the current AI. we’re literally using the same techniques than we did 30 years ago. We’ve invented nothing new since the last AI fad. What is driving this craze is the brute force approach of massive parallel processing, not actual innovation.
There’s been some minor refinement, so it’s not exactly identical, but to use a metaphor… We’ve using more Lego bricks and different colours now to build our castles, but they’re all still lego bricks. Nothing has fundamentally changed.
… and you should know by now that tech industry is funded by hype machine, so temper your expectations. Current machine learning techniques are limited and inefficient, it’s not actually really a solvable problem with the current approach.
TLDR; LLMs are a super far cry from actually being “intelligent” and calling it AI is the equivalent of calling a wheeled electric self balance board a “Hoverboard”.
Dude. Take a chill in the bathtub and touch grass. AI is never taking my job, since it’s physical labor since I removed myself from the computer industry 15 years ago. But as someone who studied AI and LISP (which was mired in the previous AI craze), it’s not actually wrong to have animosity and be skeptical about the current AI. we’re literally using the same techniques than we did 30 years ago. We’ve invented nothing new since the last AI fad. What is driving this craze is the brute force approach of massive parallel processing, not actual innovation.
There’s been some minor refinement, so it’s not exactly identical, but to use a metaphor… We’ve using more Lego bricks and different colours now to build our castles, but they’re all still lego bricks. Nothing has fundamentally changed.
… and you should know by now that tech industry is funded by hype machine, so temper your expectations. Current machine learning techniques are limited and inefficient, it’s not actually really a solvable problem with the current approach.
TLDR; LLMs are a super far cry from actually being “intelligent” and calling it AI is the equivalent of calling a wheeled electric self balance board a “Hoverboard”.