I want to iterate the most important thing about this is that it's yet more evidence of AI's accelerating competency in solving math and comp sci problems, and suggests we're now getting close to the point where you could throw AI at AI research challenges (which are largely just math and comp sci problems) and potentially find very real algorithm improvements. AI development is likely to be more compute bottlenecked…
Okay, let's take it seriously. What do you propose? What can your average person do to prepare for RSI beyond bracing themselves mentally?
Ten advances in mathematics and theoretical computer science
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Re: Ten advances in mathematics and theoretical computer science
#512How do we know that these solutions don't exist in the training data? It is open secret that they have used pirated materials for training. Perhaps it plagiarized solutions from works of some obscure Belgian mathematician from the sixties, who did not get mainstream acceptance. I wouldn't be surprised if they also got access to mathematics done in the "defense contractor" setting from various three letter agencies. W…
Re: Ten advances in mathematics and theoretical computer science
#513Earlier quoted context omitted.
The models are frequently getting worse at items that they aren’t being benchmarked for — and that’s happening more and more over time! Other people in other fields aren’t idiots, they are accurately perceiving the fact that these models are being hyper optimized for our industry, and are becoming less capable in other domains over time. Models of the same scale are massively worse at writing a broad variety of style…
Proof? In my experience modern models are better at all tasks than models from two years ago, especially complex multi-step tasks.
Re: Ten advances in mathematics and theoretical computer science
#514Earlier quoted context omitted.
>Whilst current models can't 'intuit That's how they are finding these solutions though, unless we are just going to label intuition as something only humans can do. Like a submarine being unable to swim or whatever that example is.
Some of them... The two places were seeing lots of movement are: * Updates to lower/upper bounds. In many cases, these kinds of problems are the deep-math equivalent of calculating more digits of pi. Yes, if you throw time at it you'll break the record, but it may not be terribly worthwhile. * Finding counter examples which disprove conjectures. This is really useful, and helps offset some positivity bias on the huma…
Re: Ten advances in mathematics and theoretical computer science
#515Earlier quoted context omitted.
Proof? In my experience modern models are better at all tasks than models from two years ago, especially complex multi-step tasks.
you are working on coding. they are working on things like "creative writing" remember that gpt 4o was popular among those who had ai as a romantic partnet?
Re: Ten advances in mathematics and theoretical computer science
#516Earlier quoted context omitted.
If the thesis that "If anybody builds it, everyone dies" is true, or has any chance of becoming true, then it is the logical thing to do. As Geoffrey Hinton said, "If you want to know what it's like not to be the apex intelligence, ask a chicken."
It is not 'logical' to imagine a hypothetical doomsday scenario that justifies a preemptive nuclear war. (which is what the grandparent commenter's bio contemplates, 'nuke the datacenters' is their central credo). Does it bother you that the people who are publicly cocksure that P(doom) is moments away are the same people that have profited most handsomely from that pronouncement? That the 'humanists' that want to do…
You hallucinated the "preemptive nuclear war". He didn't say anything about nukes. That's your own invention.
> Does it bother you that the people who are publicly cocksure that P(doom) is moments away
20% is not "cocksure". The "moments" is again an exaggeration.
Re: Ten advances in mathematics and theoretical computer science
#517problem number 1 and 9 are surprisingly very intuitive check here : 1. high dimensional sphere packing https://muchmirul.github.io/conjectures/sphere-packing/ 2. multicolor ramsey number https://muchmirul.github.io/conjectures/multicolor-ramsey
The first link is very sloppy and doesn't actually explain why the "certificate" proves anything about the sphere packing. Or if it did, I couldn't understand it.
Re: Ten advances in mathematics and theoretical computer science
#518Great stuff. Wonder how many of the ten problems where solved by independent mathematicians not linked to OpenAI
Re: Ten advances in mathematics and theoretical computer science
#519Earlier quoted context omitted.
They aren't claiming that science doesn't progress by moving goal posts. They're talking about how critics of AI have claimed it isn't revolutionary/useful, then progressively changed what would it mean for AI to be actually revolutionary/useful. Not long ago many folks were saying AI was the same as the crypto bubble. No real useful technology and only hype.
Did you know that "revolutationary" is not equivalent to "useful", and "revolutionary" is quite ambiguous?
I think AI is clearly both revolutionary and useful. Revolutionary insofar as the job I do has changed almost completely in a year or so span.