A.I. Is a Big Fat Lie – The Dr. Data Show

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Published 2019-01-22
NEW BOOK: The AI Playbook by Eric Siegel. In his bestselling first book, Eric explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. A Next Big Idea Club Must Read. Info: www.bizML.com/

This video is one of a four-part sequence (playlist) on how the term "AI" misinforms and misleads:    • The Great AI Myth  

Check out my latest Forbes article (04.10.2024), "Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype" -- IN FORBES: www.forbes.com/sites/ericsiegel/2024/04/10/artific… -- NARRATION:    • Forbes Article: Artificial General In...  

My latest take (06.02.23) just dropped in Harvard Business Review: "The AI Hype Cycle Is Distracting Companies" - hbr.org/2023/06/the-ai-hype-cycle-is-distracting-c…

Want to learn more about machine learning and AI from Dr. Data (Eric Siegel)? His three-course series, "Machine Learning Leadership and Practice – End-to-End Mastery", covers everything he covered in The Dr. Data Show, plus a whole lot more. ACCESS IT HERE: www.MachineLearning.courses/

Is AI legit? In this must-see episode of The Dr. Data Show, Eric Siegel delivers a treatise that ridicules the widespread myth of artificial intelligence. His impassioned soliloquy is enlightening and actually pretty funny. It's time for the term AI to be "terminated."

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AI is a big fat lie. Artificial intelligence is a fraudulent hoax — or in the best cases it’s a hyped-up buzzword that confuses and deceives.

The much better, precise term would instead usually be machine learning -- which is genuinely powerful and everyone oughta be excited about it.

On the other hand, AI does provide some great material for nerdy jokes.

So put on your skepticism hat, it's time for Dr. Data's happy, fun, AI-debunkin', slam-dunkin', machine learning-lovin', robopocalypse myth-bustin', smackdown jamboree -- yeehaw!

In this episode, I'll make three points:

1) Unlike AI, machine learning’s totally legit. It is, by the way, the topic of this entire web series, The Dr. Data Show, and, I gotta say, it wins the Awesomest Technology Ever award, forging advancements that make ya go, "Hooha!". However, these advancements are almost entirely limited to supervised machine learning, which can only tackle problems for which there exist many labeled or historical examples in the data from which the computer can learn. This inherently limits machine learning to only a very particular subset of what humans can do -- plus also a limited range of things humans can't do.

2) AI is BS. And for the record, the naysayer before you taught the Columbia University graduate-level "Artificial Intelligence" course, as well as other related courses there.

AI is nothing but a brand. A powerful brand, but an empty promise. The concept of intelligence is entirely subjective and intrinsically human. Those who espouse the limitless wonders of AI and warn of its dangers -- including the likes of Bill Gates and Elon Musk -- all make the same false presumption: that intelligence is a one-dimensional spectrum and that technological advancements propel us along that spectrum, down a path that leads toward human-level capabilities. Nuh uh. The advancements only happen with labeled data. We are advancing quickly, but in a different direction and only across a very particular, restricted microcosm of capabilities.

The term artificial intelligence has no place in science or engineering. "AI" is valid only for philosophy and science fiction -- which, by the way, I totally love the exploration of AI in those areas.

3) AI isn't gonna kill you. The forthcoming robot apocalypse is a ghost story. The idea that machines will uprise on their own volition and eradicate humanity holds no merit.

Ok, let's begin with a clip of an AI system out of Austria explaining how it itself works...

What you see it doing here is truly amazing. The network’s identifying all these objects. With machine learning, the computer has essentially programmed itself to do this. On its own, it has worked out the nitty gritty details of exactly what patterns or visual features to look for. Machine learning's ability to achieve such things is awe-inspiring and extremely valuable.

The latest improvements to neural networks are called deep learning. They're what make this level of success in object recognition possible....
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For more: www.TheDoctorDataShow.com/

All Comments (21)
  • NEW BOOK: The AI Playbook by Eric Siegel. In his bestselling first book, Eric explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. A Next Big Idea Club Must Read. Info: www.bizml.com/
  • @DGill48
    "AI' does not exist. It will exist on the day that the machine says " I'm tired of algorithims and proximity calculations. Get me a beer. I'm taking the day off"
  • @lashlarue59
    What's interesting is the relatively tiny number of views this has gotten verses the huge number of views that the AI doomsday type videos regularly get. Seems like some bias in the YouTube rating algorithms to me.
  • It's not even machine learning, it's simply an automated way to load and interpret masses of data in some specific realm. Learning implies taking in data and expanding ones understanding, and since computers do not really understand ... pretty much all the words we use to describe them are anthropomorphic misnomers.
  • Can’t believe you managed to keep a consistent pace without meandering or clipping too rapidly through nuanced concepts while still being funny at many points. What a well constructed video essay!
  • @verapamil07
    I think that the biggest contribution of the AI talk is going to be more philosophical than technical. When replicating human intelligence fails, people will be forced to finally try to understand our intelligence first and what it means to be a human, without introducing simplistic models with mathematical equations.
  • @mikecane
    Four years later, this video is even more relevant. I wish he had a new one addressing OpenAI, Bard, Claude, etc. Being 4 years old, people will dismiss it.
  • @jadespider7526
    I love even in the deep learning clip the computer keeps flipping the truck back and forth between truck/bus. Even at this scale it has no concept of persistence or even any concept of what it's identified. It sees a pixel cluster that makes the profile of Template1(truck), a template that might include predictive braking distances, turning angles or top speeds, but it doesn't see a delivery vehicle moving consumer goods between destinations.
  • @AlBurger
    Thanks, Eric. Like many others, I have been using the term A.I. a little too loosely and interchangeably with the term Machine Learning. I will reform my thinking and behavior. No more A.I. Kool-Aid. Oh, and I will share...
  • @artemiocruz1054
    AI is a 'human instrumentality project' cult, basically, the neoatheist version of paradise.
  • @Nicholas-ho8xj
    Thank you. I've been saying this for years. It's amazing how many people don't seem to get this simple truth. All a computer does is follow a set of Instructions. And that's all they will ever do. Since the ENIAC, computers have always topped human speed and accuracy at math. The only difference is that humans have gotten better at translating human problems into mathematical fomulas
  • Going back to this video after the LAMBDA hysteria, thank you Eric.
    As a future doctor it hurts my eyes to see how many people think the brain is so simple, especially with how it's related to the whole body.
  • @tunes012
    Just found this (late to the party) but the distinction is exactly what I suspected. As a philosophy grad who is genuinely interested in this field (as well as being a massive nerd) I was always confused and consequently confronted about people saying "we have created AI". The problem was always the same - claims about artificial intelligence implies building and programming a fully functioning, intuitive, introspective and conscious machine. When I actually had the chance to speak to people in software engineering, machine learning and data science I always got an answer approximating yours but never an admission that the term AI is being used relatively loosely. Subscribed.
  • @Splarkszter
    Didn't even notice this is a 5 year old video.

    And this video is so up to date. You truly prepared people for what was to come for them to not get fooled. You have all my respects.
  • @CHNL.s
    ive been saying this for years. All computers are are machines that analize and spit out data based on preset parameters. How is that even remotely going to turn into a consious intellegent being with freedom to make choices lol. We cant even understand our own brain.
  • I will keep this video in my arsenal for every time someone comes to me raving about "AI" .
  • @legerstee1
    Thank you for this. I have been confused about the term and never saw real proof. Pressing buttons with your voice does not mean it understands you. I feel more confident that I'm still getting the stuff. Thank you :-)
  • @ensoxyz2737
    I've been harping on this since 2015... People look at me like I'm insane because I'm black but I've been trying to ring the fucking alarm that A.I. is just marketing bullshit.
  • Great talk. I'm always frustrated when I speak with people about AI. People seem to fall into two camps. Either they believe robots will never think like us, or that they will be developed and it's going to happen soon and it will be the end of the world!