AI Just Changed Everything … Again

Published 2024-05-28
AI Just Changed Everything … Again. Go to brilliant.org/Undecided/ and get 20% off your subscription and a 30 day free trial with Brilliant.org! Let’s stop pretending AI is new. I’ve been thinking a lot about generative AI lately. It’s kind of hard not to with the latest ChatGPT announcement. The technologies we’re witnessing are powerful, impressive, and developing fast. But let’s take a hard look at the structure behind it. The AI of the 2020s isn’t new. But its consequences are. If you’re watching this, they’ve already affected you. So how should we, the public, respond to tools that rely upon more data than we could ever fathom? How can they change our relationship to work? And…do we need to panic?

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00:00 - Let's Stop Pretending AI Is New
02:19 - AI Isn't New
09:11 - Why Are People So Concerned?
14:50 - What Does All This Mean?
17:38 - What Do We

All Comments (21)
  • @moos5221
    What troubles me most about AI is that our politicians aren't knowledgable enough to regulate AI properly and they are greedy and corrupt enough to let AI companies make the rules.
  • @RickyMontijo
    “I don’t think we need to panic” yeah, not a single chance we will hold the tech companies accountable until its at a complete boiling point and they have either seized full control or sucked up every last dollar possible.
  • @scottfranco1962
    There is a new Turing test. Its how long you will talk to an AI customer service bot before realizing you are getting nowhere and hang up.
  • @TickerSymbolYOU
    Incredibly honored to be featured on one of my favorite channels of all time. Thank you so much for having me!
  • @bumpty9830
    “Hold these tech companies accountable” how, exactly? The corporations don’t answer to us. The government doesn’t even answer to us. Without explaining how, suggesting we “hold them accountable” is totally empty.
  • @ZachlyS
    18:12 "..supporting human creators like me" That's exactly what an AI pretending to be a human would say.
  • @dewiz9596
    We used to say “don’t believe anything you hear, and only half of what you see”. . . We need a provenance system for ANYTHING that is delivered electronically.
  • @alex00snow
    The biggest issue in my opinion is the feedback loop. LLMs are mostly trained on data publicly available on the internet and they generate new data from this. This generated data is often wrong but is still being published as some sort of truth. Then the LLMs will train again on this new incorrect data generating even more wrong data. At some point, it will train on so much junk data that it will become pretty much useless but it will have destroyed the internet in the process.
  • @paul_wiggin
    Worst part: AI will earn profit for large corporations - younger generations will get nothing slowly turning into third grade citizen.
  • @apathyguy8338
    You don't push a toddler on a tricycle down a hill! Man I wish I knew that before.
  • @rxbracho
    Wow, talk about a trip through memory lane! After my PhD in robotic vision in 1983, I began working for FLAIR (Fairchild Laboratory for Artificial Intelligence Research) where, among several areas, we were doing research in "speech recognition", the precursor of LLMs. So, yes, the roots are tens of years deep.
  • @Nexus_545
    My favorite example of neural networks in the past was the 1996 game "Creatures". You looked after creatures called Norns and they each had a neural network to learn behaviors and language. It was also paired with a genetic and basic biology simulation for them to learn from things that made them feel good or bad. You could micromanage and be a helicopter parent trying to make your Norns behave the way you wanted or you could just leave the game running and see what happens. I've been really hoping the new AI trend will bring the series back. Not exactly a world changing, helpful use of neural networks but it's always stayed with me and probably what drew me to Biology when young.
  • @Ayresplastering
    The bizarre thing is the voice mode you used in the intro is the old version as far as I know, it's crazy good and will be even better
  • @N8ThaGr8r
    18:09 unfortunately, humanities tombstone will read "Best of Intentions, but Convenience Ended It All"
  • @offgridwanabe
    For years I have used the internet for information but it now is full of useless information and garbage it is impossible to extract useful information for learning. I am at the point of dumping social media and the internet for some sanity of real life and leave the internet to the bots.
  • @stuff3508
    In the mid 1980's, as I was doing a masters degree in process control engineering, we investigated neural networks. Unfortunately at the time, it quickly became apparent that computing power was the limiting factor. Definitely not new technology!
  • @apollo0117
    I like your point on the black box. One of my largest problems learning math in school was the way they made it into a black box. It was not until I learned some number theory that the blinds started to be lifted.
  • @rabidrich8969
    Companies like Open AI should basically have to pay a licensing fee for all the data to the whole world. The money should then fund public projects that benefit everyone, possibly toward a UBI. While it's true that we all get inspiration from the work of many others for free all the time, the scale of this is so huge that they should pay the world.