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That's the spirit! Same


Jokes on u, I'm already in a simulation


Watch Francois chollet on ML street


Throw ARC-AGI 2 at it!


I suspect it wouldn't help too much. This model is meant for physics-based world modeling, while nearly all the problems in ARC are symbolic reasoning.


I'd say world modeling can provide the foundations from which symbolic reasoning can emerge, after all this is how we (humans) learn it too. There are a lot of tasks in arc that are grounded in simple physics


> I'd say world modeling can provide the foundations from which symbolic reasoning can emerge, after all this is how we (humans) learn it too

As usual comparisons with humans provide little practical insight for what's achievable with ML. Humans don't have to learn everything from scratch like ML models do, you aren't expecting ML models to learn language out of a few thousands of tokens just because humans can, so similarly you shouldn't expect neural networks to learn reasoning from world interaction alone.


Yes, ARC-AGI 2 seems to game a lot of challenges that involve a (projection of) gravity and collisions, so I'd be quite interested in seeing whether it would generalize.


Doesn't scale handle one of the biggest military data contracts?


I remember Waymo had their "Via" division, seems like they been hitting brakes on that one. I think they had people driving the last mile, which makes sense. Again, freeway crashes are always gonna be the most lethal and the worst, especially if we are talking about semis.

Government should make an AV lane for trucks!


If you listen interview with Francois it'll be clear to you that "vision" in the way you refer it, has very little do to with solving ARC.

And more to do with "fluid, adaptable intelligence, that learns on the fly"


That's fair. I care about the end result.

The problem is about taking information in 2D/3D space and solving the problem. Humans solve these things through vision. LLMs or AI can do it using another algorithm and internal representation that's way better.

I spent a long time thinking about how to solve the ARC AGI 2 puzzles "if I were an LLM" and I just couldn't think of a non-hacky way.

People who're blind use braille or touch to extract 2D/3D information. I don't know how blind people represent 2D/3D info once it's in their brain.


>AI can do it using another algorithm and internal representation that's way better

AI famously needs a boat load of energy and computation to work. How would you describe that as "way better" than a human brain that will be able to solve them faster, with practically zero energy expenditure?


Looks good! I think adding timing grid would be cool, ala 1/4, 1/16 etc


Divided by 40 years it doesn't look like much...


What about just giving your kid $400,000 in index funds when they become an adult? What does that look like after 40 years?


It would be a ton with ~10% annualized returns on the SNP500 since 1985, especially if you reinvest dividends. Someone who lives very frugally can probably just live off the interest off that 400k alone and if they bank unitl a million, they can have a safe buffer and a comfortable lifestyle. If they reinvest all of it for fourty years since 1985 it’d be worth on the order of $10-25 million.

It’s actually quite stark how bad it’s gotten. I’d rather just give a kid that money to invest and have them live at home doing whatever work floats their fancy until they can live comfortably on interest alone.


Just like compounding interest, a VERY small percentage advantage each year snowballs to be a large advantage over a full career.

A college degree in the industry you work in also means your job security is MUCH higher than those without a degree.


$10k a year is a huge amount. The median US salary is $61k.

Also realistically, you're likely getting a loan, so you need to factor in interest.


Agree, and the $61,000 part is much of what this article is missing. Its a lot like "weep for those making $300,000/year" when most families are making less than half of that on average (almost a third, $122k if both family members are pulling average). However, taxes tell us they're not even doing that great.

If your family is reporting a family income of $122k, you're already at approximately the upper 25% threshold. The $61,000 number hides a really L-shaped distribution skewed heavily toward the $2,500,000+ crowd. Previously calculated 2024 statistics from another post.

in the most recent tax filing season data available (2024), there were tax returns of:

                                        Top 1%       Top 5%      Top 10%       Top 25%       Top 50%   Bottom 50%  All Taxpayers
  Number of Returns                  1,535,899    7,679,495   15,358,991    38,397,477    76,794,954   76,794,954    153,589,908
  Average Income Taxes Paid           $653,730     $187,468     $108,251       $50,963       $27,891         $667        $14,279 
  Adjusted Gross Income (Millions)  $3,872,395   $6,182,180   $7,745,525   $10,613,602   $13,191,209   $1,531,038    $14,722,247
If we then break those into the actual groups, and numbers per group, then we find their Average Per Capita Income

                                             1          2-5         6-10        11-25        26-50       51-100
  Number of Returns                  1,535,899    6,143,596    7,679,496   23,038,486   38,397,477   76,794,954
  Income Taxes Paid (Millions)      $1,004,063     $435,594     $222,966     $294,234     $185,068      $51,225 
  Adjusted Gross Income (Millions)  $3,872,395   $2,309,785   $1,563,345   $2,868,077   $2,577,607   $1,531,038 
  Average Tax Rate                       25.9%        18.9%        14.3%        10.3%         7.2%         3.3%
  Average Per Capita Income      $2,521,256.28  $375,966.29  $203,573.91  $124,490.69   $67,129.59   $19,936.70


Not sure why you're downvoted as this is true.

(and there's nothing wrong with you expressing this opinion)

Not everyone in the US makes 500k TC doing remote work.

400k for a degree is absolute bonkers!


To pay $400k off over even 20 years at 6%, which is below the average student loan rate is just over $2,000 a month and it is mostly not tax free. Our society is messing up with how expensive this has gotten. The bloat is facilities and administrators who earn two and three or more times the tenured professor salary. The guarantors have to be the schools themselves and those execs who take these bloated salaries. And that interest isn't deductable other than a pittance of $2,500 or less in a year.

Here is the IRS about this;

Student loan interest is interest you paid during the year on a qualified student loan. It includes both required and voluntarily prepaid interest payments. You may deduct the lesser of $2,500 or the amount of interest you actually paid during the year. The deduction is gradually reduced and eventually eliminated by phaseout when your modified adjusted gross income (MAGI) amount reaches the annual limit for your filing status.

https://www.irs.gov/taxtopics/tc456


Arc agi 1 that "got defeated" was published even before first mainstream llms and still stood the test of time


> "got defeated"

1.5 hours with Chollet on "LLMs won’t lead to AGI - $1,000,000 Prize to find true solution" -

Published June 2024, and by December, well...we can all agree there's an ARC AGI 2 now.

https://www.dwarkesh.com/p/francois-chollet


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