>computer vision now understands ~7.5M unique concepts, up from about a dozen from the mid 2000s

>computer vision now understands ~7.5M unique concepts, up from about a dozen from the mid 2000s
>even understands humor to some extent
>can also segment images perfectly
>makes it 100x easier to train even better models as it improves the ease of making training/testing data
Is it over for us meatbags? we don't even need to look at images anymore, computers can do it far better and faster
https://github.com/mbzuai-oryx/groundingLMM

  1. 4 weeks ago
    Anonymous

    >person about to hit sports ball
    nobody's perfect

  2. 4 weeks ago
    Anonymous

    Accelerate

  3. 4 weeks ago
    Anonymous

    It's still missing the I part of AI and I don't understand how these models can ever truly lead to actual intelligence.
    A 3 year old can do all of those things and he doesn't need to be trained on the entirety of the internet to do it.

    • 4 weeks ago
      Anonymous

      >actual intelligence
      How do you define "actual intelligence"?
      >A 3 year old can do all of those things
      Can a 3 year old fix bugs in your code, or write a function to solve a task?
      >doesn't need to be trained on the entirety of the internet to do it.
      Yes, this means that a more sample-efficient training method is possible, but it's probably compute-constrained. If we had 100x the compute of GPT4 available (comparable to the complexity of a brain), we could try finding such a sample-efficient training method, but right now it doesn't make sense to invest resources looking for a method like that.

      • 4 weeks ago
        Anonymous

        >Can a 3 year old fix bugs in your code, or write a function to solve a task?
        Sure, talking to a rubber duck can do the same.
        I just don't think anyone is retarded enough to drag their kid into the work place and I'm not gonna bring my own

        • 4 weeks ago
          Anonymous

          If you think that the output of a rubber duck is the same as the output of a language model, then you could probably be replaced by a rubber duck.

  4. 4 weeks ago
    Anonymous

    Does it understand foxgirls?

  5. 4 weeks ago
    Anonymous

    >improves the ease of making training/testing data
    no it doesn't
    the quality is still shit

    • 4 weeks ago
      Anonymous

      It's still missing the I part of AI and I don't understand how these models can ever truly lead to actual intelligence.
      A 3 year old can do all of those things and he doesn't need to be trained on the entirety of the internet to do it.

      it's ok to be afraid, the world needs midwits too
      you can literally farm a training set off youtube thumbnails just by running them through this for zero effort.

      Does it understand foxgirls?

      good question, it will know "girl" and probably "fox ear" or at least "ear" plus "fur" and since it can segment it can localize them and you can map "ear+fur/fox" + "girl" + vicinity = foxgirl

      • 4 weeks ago
        Anonymous

        the model you trained will be shit and not deployable in production

  6. 4 weeks ago
    Anonymous

    >samples from a dataset
    That doesn't mean the AI actually knew how to label things correctly, right? Those are just training examples.

  7. 4 weeks ago
    Anonymous

    someone's got to hook those CV models into a LLM and make it play gta5, frame by frame

    • 4 weeks ago
      Anonymous

      even if it can tell a cop from a hooker from a regular person, and even a rifle from a pistol, it doesn't know what to do though

      you could give it some basic rules but the input for that's probably pretty hard compared to say, a 2d game or an RTS/MOBA

  8. 4 weeks ago
    Anonymous

    >Understands
    Nope. It can classify 7.5m but it doesn't understand anything.

    • 4 weeks ago
      Anonymous

      Classification Is Understanding.

      • 4 weeks ago
        Anonymous

        Lol. Lmao, even.

        • 4 weeks ago
          Anonymous

          You're Afraid. It's OK to be Afraid, Anon.

          • 4 weeks ago
            Anonymous

            >人
            I clasify this symbol as "bill". When ever you show me this symbol I will correctly tell you that it's bill. You can ask me to show you "bill" and I will draw it correctly 100% of the time. I have no idea what bill is, or what it represents.

            Classification is not understanding.

            • 4 weeks ago
              Anonymous

              There is no such thing as true or false, only Majorities and pluralities exist. We choose to say that a rock is a rock because most people say a rock is a rock, the consensus is there.

              • 4 weeks ago
                Anonymous

                >Reality is a social construct
                >Its all a power play, bro
                Holy fuck, an actual post modernist.
                >Inb4 anon insists that he's not.

              • 4 weeks ago
                Anonymous

                Rabbit or duck?

              • 4 weeks ago
                Anonymous

                >2+2=4
                True or false?

      • 4 weeks ago
        Anonymous

        Lol. Lmao, even.

        do either of you want to offer a definition of "understanding", to make the question meaningful, or are you just going to trade insults?

        • 4 weeks ago
          Anonymous

          see

          >still arguing about if LLMs are intelligent or not when they outclass 80% of people 80% of the time
          a pointless distinction, they are functionally the equivalent of a legal "Reasonable Person" except with severe Korsakoff syndrome and a penchant for insane californian identity politics.

          99%+ of the time I don't have to look at the image myself to know if a thing is present in them, and i even don't have to look myself to see where it is

          that is understanding to me
          if you get it right, you understand it
          if you think a hat is a rock you dont' understand it

          Functionalism is the only reasonable belief.

  9. 4 weeks ago
    Anonymous

    >still arguing about if LLMs are intelligent or not when they outclass 80% of people 80% of the time
    a pointless distinction, they are functionally the equivalent of a legal "Reasonable Person" except with severe Korsakoff syndrome and a penchant for insane californian identity politics.

  10. 4 weeks ago
    Anonymous

    I'm not as fast, but probably still better at it.

    • 4 weeks ago
      Anonymous

      I would go as far as...I can actually tell gorillas and African-Americans tell apart.

  11. 4 weeks ago
    Anonymous

    YOU JUST KNOW

  12. 4 weeks ago
    Anonymous

    >midwit wants to debate
    loool

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