Ken Yap wrote a comment on Feedback - Hackaday.io.nodemcu12ecanada has updated the project titled ESP32-CAM emails picture.John Loeffler has updated the project titled Uno Plus+.craig on Reshoring Vacuum Tube Manufacturing, One Tube At A Time.J on A Soft Soldering Jig For Hard Projects.Dude on 3D Printed Post Modern Grandfather Clock.Arya Voronova on Silkscreen Busy? Put Labels Inside Pads. on Retrotechtacular: Solder Like Its 1944!.jenningsthecat on Retrotechtacular: Solder Like Its 1944!.4CxN on The Liquid Trees Of Belgrade: The Facts Behind The Furore.derek on 3D Printed Post Modern Grandfather Clock.Matt on Upgrade Your Voodoo With More Memory.Arya Voronova on Xiaomi Scooter Firmware Hacking Gets Hands-On.Posted in Artificial Intelligence, Featured, Rants, Slider Tagged ai, GPT, GPT-4, Intelligence, knowledge, learning Just don’t confuse them with real people, because sometimes meatbags can surprise you. Everyone should have a play with them and investigate their potential, and from that will no doubt come some very interesting things. This is not to say that tools such as GPT-4 are not amazing creations that have a lot of potential to do good things aside from filling up the internet with superficially readable spam. Is that intelligence? Is a search engine intelligent? The machine has simply barfed up what it has learned the answers are onto the exam paper. Both of those qualifications follow our educational system’s flawed premise that education equates to intelligence, so as a machine that’s learned all the facts it follows my point above about learning by rote. It can do the bar exam or the SAT test, thus we’re told it’s as intelligent as a school-age kid or a lawyer. People with truly above-average intelligence exist, but in smaller numbers, and their occurrence is not a 1:1 mapping with holders of advanced university degrees.Įven the examples touted of GPT’s brilliance tend to reinforce this. On paper they’re the cream of the crop, and while it’s true they’re not thick, they’re rarely the special clever people they think they are. Growing up and making my earlier career around a major university I’ve seen this in action so many times, people who master one skill, rote-learning the school textbook or the university tutor’s pet views and theories, and barfing them up all over the exam paper to get their amazing qualifications. In fact it seems intelligent to us not because it’s thinking of new stuff, but merely through knowing stuff we don’t because we haven’t had the time or capacity to learn it. Thus when we see an AI, a machine that can learn everything because it has a decent CPU and memory, we’re conditioned to think of it as intelligent because that’s what our schools train us to do. My premise is that we humans are conditioned by our education system to equate learning with intelligence, mostly because we have flaky CPUs and worse memory, and that makes learning something a bit of an effort. Sadly the experience hasn’t bestowed God-like intelligence on me, but it has given me a handle on the difference between intelligence and knowledge. In my time I’ve hung out with a lot of very bright people, as well as a lot of not-so-bright people who nonetheless think they’re very clever simply because they have a bunch of qualifications and diplomas. Hang on a minute though, I smell a rat, and it comes in defining just what intelligence is. The singularity has happened, and personally I welcome our new AI overlords. Hype has reached fever pitch, here in the latest and greatest of AI chatbots we finally have something that can surpass us. So, GPT-4 is out, and it’s all over for us meatbags.
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