> The 40 papers by Ilya came later. I have read a 100 ML papers and reviewed preprints.
I would say it’s more likely John Carmack is capable of learning the state-of-the-art of AI from 40 papers than a random (pun intended based on username) from 100.
Sure, he must be faster than Geoff Hinton too and it took Hinton a life time.
Funnily enough, I am able to publish ML papers - but John Carmack isn't. I wonder why. I would also like to learn more about all the computer graphics algorithms Carmack has invented before I trust him to invent AGI.
Here is one example of a person I am familiar with - Math Olympiad bronze medalist. Princeton PhD in ML Theory. AI researcher in Google.
Your OP and replies kind of just come across as jealous that John Carmack’s opinion on this stuff is taken seriously whereas relatively unknown folks’ (yourself, the researcher you mentioned) opinions, are not despite the fact that he’s not traditionally credentialed. Like I said in my original post, we should be skeptical of him and his claims. But the way you are dragging this thread out feels like sour grapes. Of course one of the most famous programmers in the world is at least heard out when he dedicates years of his life to a programming adjacent topic. That’s just how fame works.
And calling out Princeton, Google, etc. further exemplifies an academic bubble kind of credentialism. I suspect you don’t realize how it sounds because you’re so in that credential filled world.
I don't have any credentials really. If I had to be jealous I would be jealous of Carmacks work in id and oculus.
I am definitely irritated by the fact that he is able to pull 20M in funding. He has been giving interviews left right and center. We are upvoting Altman, sam Harris,Carmack but nobody cares about the actual AI researchers, all academics, who have brought about the Deep learning revolution.
Your comments about academic bubbles and researchers gives you away. All of the revolutions in AI have been brought about by the academics inside bubbles you are jeering at. The biggest example of academic inside a bubble is Geoff Hinton.
We have to sit here and listen to word salads from
Carmack, Altman (Ilya - who doesn't get interviewed is the actual researcher behind chatgpt), Sam Harris etc, who have very little insights making bold AGI predictions.
I asked to learn about all the algorithms Carmack invented in computer graphics, but haven't heard back. But looks like he has a good grasp on solving AGI by 2030 according to himself. After all, he is a really great programmer.
> I don't have any credentials really. If I had to be jealous I would be jealous of Carmacks work in id and oculus.
Fair, you come across as jealous of him for something... could be that.
> I am definitely irritated by the fact that he is able to pull 20M in funding. He has been giving interviews left right and center. We are upvoting Altman, sam Harris,Carmack but nobody cares about the actual AI researchers, all academics, who have brought about the Deep learning revolution.
There it goes again. Fame is fame is fame is fame. Like I said earlier. That's just how it works. No reason to be against someone for being famous for their non-academic accomplishments if they have something valuable to contribute.
> Your comments about academic bubbles and researchers gives you away. All of the revolutions in AI have been brought about by the academics inside bubbles you are jeering at. The biggest example of academic inside a bubble is Geoff Hinton.
I didn't jeer at anybody I just tried to give you some perspective about how your comments came across. I appreciate all of the researchers but I also live in the real world and understand that people flock to personalities and front-people. That's not necessarily good, but that's the way it is. Just like nobody gives credit to under-secretary of state for coming up with a great new foreign policy.
Waving around great university A or great company B does not make someone any more right, just like being John Carmack doesn't make him any more right.
> We have to sit here and listen to word salads from Carmack, Altman (Ilya - who doesn't get interviewed is the actual researcher behind chatgpt), Sam Harris etc, who have very little insights making bold AGI predictions.
I agree with you. I never said they were right about AGI. Maybe you should be more generous with my replies and actually think I was trying to give you another perspective about how your comments came across.
> I asked to learn about all the algorithms Carmack invented in computer graphics, but haven't heard back. But looks like he has a good grasp on solving AGI by 2030 according to himself. After all, he is a really great programmer.
Again, you're confusing who he is (go back to my original comment in the thread where you jeered at him because he didn't publish any notable papers). He is not a researcher and he is not really a computer scientist. Engineers don't come up with novel algorithms for the most part. He builds things. And being a really good builder is a different but still valuable perspective. But that doesn't mean he's right about AGI.
I would say it’s more likely John Carmack is capable of learning the state-of-the-art of AI from 40 papers than a random (pun intended based on username) from 100.