I’ve played with it already. I don’t think this is the use case. I think Jev’s use case is fast, cheap and somewhat easy classification. It’s not trainable in the way you would want here. Even though it’s fast it wont be faster than pgs query optimizer.
At least as I understand things.
How did you plan to use Jev for query optimization?
I am still struggling to understand a use-case for Jev. Isn't what was explained in this article a classification problem? I.e. find and aggregate data?
The number of options has to be small and bounded. The query planning is more of a search/optimization problem than a classification problem since the number of options increases wildly based on query size.
It’s classifying faster and cheaper. A lot of immediate ideas are better solved by pre-classifying + embedding, but their doom example or the wikipedia runs are one where you can’t preclassify.
Ah this is interesting. Essentially the idea is that the compute can try and move into positions that it can evaluate but humans might have trouble evaluating because of the board state's complexity?
When playing white in handicap games, you want to make your opponent uncomfortable.
Play moves where the simple/safe/obvious move is just a little bit bad. Force them to choose between complex fights or a slow death of 100 slightly suboptimal moves.
It feels really wrong to defend like 10 times in a row, so if you make them do that they'll lash out at the wrong time and you can take advantage.
You also want to look for moves where...even if their best response means it's even or a little bit worse for you, there's ~reasonable responses where you win out or it goes complex.
A lot of the time it's not even crazy complex fights, it's more just situations where the judgement of what is more points is difficult.
(Note: most of this stops applying as strongly if it's a teaching game, which most handicap games are, there you have other considerations besides winning)
By the way that is exactly what humans do when playing with white in high stone handicap games. They place their stones all around the board, start little fights everywhere and wait for the weaker player to misread or misevaluate something. Suddenly two or three fights merge in a one sided larger one and part of the handicap is gone.
I think they meant more like "people band together to pay Christophe Nolan to create some new film" ala crowdfunding. Is that a sustainable model for the world economy? Unclear.
Well if we got enough people together it would be pretty cheap, maybe 15 or 20 bucks or so with inflation. And we could fill the movie upfront, and create some previews and launch an advertising campaign -- that'd certainly help drum up interest and get more people to crowdfund. Best even to just collect their money as right before they watch it so they know they aren't getting scammed and will in fact get to watch the movie they are crowdfunding. We can also crowdfund some popcorn machines and communal viewing rooms, after all people will want to have a snack and watch their crowdfunded movie with friends and family.
That was a lot of snark :-) I know what you're saying. It's not clear to what degree the film industry would be viable in its current form though without IP rights. If everyone can watch the latest marvel film at home for free, are they going to be willing to pay to see it in theaters?
There would likely still be some demand for the experience, but the tickets would need to be more expensive to recoup the costs of making the film. At that point: it does seem like people pooling together their funds to fund the movie itself isn't insane. The point is that the "investors" wouldn't be investing in the hopes of a financial return, they'd be paying for the creation of the film.
> Ban offline training/pretraining. Models must train from scratch after submission
Previously this was considered impossible so rule. My model shows this is possible
Guarantees no synthetic data can be used
It makes the comparison fair across differet models. Otherwise some models like LLMs can benchmaxx ARC by using ungodly amounts of offline training. (Since the benchmark has been around a long time, many ARC-like datasets have been created)
I'm not an ML researcher, so YMMV, but... how could a model learn to answer these ARC-AGI questions without training beforehand?
Predicate logic is trivially realized by linear transformations (I.e., matrices), and these matrices are easily discovered via gradient descent with appropriate reward functions.
> I don't think a baby or even average kid could solve these
The reward functions of a typical baby or kid is not 'get a huge dopamine boost when you solve a logic puzzle' (or whatever neurotransmitter, I don't know).
> I agree that its rare to see to face problem sets in real life where every problem is given at once. Even if it is (like an exam), humans can usually only attempt one at a time
Just one small snippet that I thought was interesting. I would always read through ~the entire exam before starting. Both so that I could find the problems most approachable to me, but also because sometimes it helps me figure out the rest of the questions :-)
Calling China a country that "bred like rabbits" over the past few decades is first of all offensive and second of all stupid for a country that has one of the biggest problems with their coming population pyramid and limited couples to a single child for most of the last 40 years.
Bizarre comment. I think the best is when you declare it "stupid" because China got its population explosion under control...at 1.4 BILLION PEOPLE. And the problem is that today everyone always waves away China bringing enormous greenhouse gas burning capacity online by saying "oh well...per capita...", and it's incredibly weird.
If China and India are going to "make up" for their historic per capita greenhouse gas emissions -- after both breeding continent-sized populations -- the worst case scenario is 100% guaranteed and everyone else might as well go wild as well. 3 billion people cannot continue the mistakes of the past, but a lot of very foolish people seriously make that argument.
Per capita is the only metric that matters as it attributes equal worth to each human life.
If China was split up into 20 countries would that be better because the emissions were divided by 20 for each individual country? I honestly don't know how so many people fail understand this very basic point.
Also talking about breeding continent sized populations, the USA is third with 340+ million and rapidly expanding at millions a year. The median country size is around a population of 9 million so the USA having 340+ million is clearly deeply irresponsible.
> China bringing enormous greenhouse gas burning capacity online
> If China and India are going to "make up" for their historic per capita greenhouse gas emissions.
Except China likely peaked their emissions at a much lower per capita rate than even the USA does now. India will probably be the same.
> the worst case scenario is 100% guaranteed and everyone else might as well go wild as well.
It can always be worse.
> 3 billion people cannot continue the mistakes of the past, but a lot of very foolish people seriously make that argument.
Sure and a country of 340 million cannot continue to burn as much as it is doing but continues to do so.
Also how much money is the USA going to send to developing countries to help them develop without burning fossil fuels? Oh yeah they cancelled it and they continue to be the worlds second largest emitter.
China is at a higher installed capacity by 6x from overall and 30% by per capita capacity. They're growing installed capacity from your source at 45% y/y as compared to 20% in the US.
Sure, there might be more transmission constraints or whatever, but those will certainly be solved in time (transmission capacity is more distributed so I'm not surprised it's lagging capacity).
The quote you pulled for China is conveniently 3 years old and missing the global context that it was in response to supply issues with other fossil fuels, not a reflection in meeting demand.
India is a bit more concerning for a number of reasons (lower per capita income means they are lower on per-capita emissions currently and hence have more room to grow, and they don't have the resources that China does to build out renewables) but criticizing China from a renewables perspective (there are a whole lot of other valid reasons to criticize them) is insane.
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