[ozgrakkurt]

Seeing comments here saying “this problem is already solved”, “he is just bad at this” etc. feels bad. He has given a long time to this problem by now. He is trying to solve this to advance the field. And needless to say, he is a legend in computer engineering or w/e you call it.

It should be required to point to the “solution” and maybe how it works to say “he just sucks” or “this was solved before”.

IMO the problem with current models is that they don’t learn categorically like: lions are animals, animals are alive. goats are animals, goats are alive too. So if lions have some property like breathing and goats also have it, it is likely that other similar things have the same property.

Or when playing a game, a human can come up with a strategy like: I’ll level this ability and lean on it for starting, then I’ll level this other ability that takes more time to ramp up while using the first one, then change to this play style after I have the new ability ready. This might be formulated completely based on theoretical ideas about the game, and modified as the player gets more experience.

With current AI models as far as I can understand, it will see the whole game as an optimization problem and try to find something at random that makes it win more. This is not as scalable as combining theory and experience in the way that humans do. For example a human is innately capable of understanding there is a concept of early game, and the gains made in early game can compound and generate a large lead. This is pattern matching as well but it is on a higher level .

Theory makes learning more scalable compared to just trying everything and seeing what works

[93po]

I'm a huge fan of Carmack and read the book (Masters of Doom) multiple times and love it, too. But he's a legend for pioneering PC gaming graphics in a way that was feasible for a single (very talented) person to accomplish, and was also pioneering something that already existed on consoles. I think there's a big leap from very cleverly recreating existing very basic and simple 3d graphics for a new platform versus the massive task that is AGI/ASI, which I don't think is something a single person can meaningfully move forward at this point. Even the big jump we got from GPTs was due to many many people.

[Olreich]

Current models are lossy databases at this point. Carmack looks like he might be trying to get logical reasoning to work (learning something abstract in one context and applying it to a similar context). That is something that would advance the field significantly and may be possible with a small team of researchers.

[motorest]

> Seeing comments here saying “this problem is already solved”, “he is just bad at this” etc. feels bad. He has given a long time to this problem by now. He is trying to solve this to advance the field. And needless to say, he is a legend in computer engineering or w/e you call it.

This comment, with the exception of the random claim of "he is just bad at this", reads like a thinly veiled appeal to authority. I mean, you're complaining about people pointing out prior work, reviewing the approach, and benchmarking the output.

I'm not sure you are aware, but those items (bibliographical review, problem statement, proposal, comparison/benchmarks) are the very basic structure of an academic paper, which each and every single academic paper on any technical subject are required to present in order to be publishable.

I get that there must be a positive feedback element to it, but pay attention to your own claim: "He is trying to solve this to advance the field." How can you tell whether this really advances the field if you want to shield it from any review or comparison? Otherwise what's the point? To go on and claim that ${RANDOM_CELEB} parachuted into a field and succeeded at first try where all so-called researchers and experts failed?

Lastly, "he is just bad at this". You know who is bad at research topics? Researchers specialized on said topic. Their job is to literally figure out something they don't know. Why do you think someone who just started is any different?