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MIT IQ: The MIT Intelligence Quest

iq.mit.edu

11–20 of 45 posts

Re: MIT IQ: The MIT Intelligence Quest

#11
post #4

Sounds like they are solving the exodus of brains to Industry by effectively creating Industry-funded departments located on campus. “You will be an MIT employee, fully funded by Google.”

Near the bottom of the page:

> A key to the success of MIT IQ will be identifying industry allies who share our passion for tackling big, real-world problems. That work is already underway: we have forged a number of collaborative projects with industry, such as the MIT–IBM Watson AI Lab.

However, the biggest incentive to go into industry is income. Sure, your research and your department can do more with more funding but wouldn't you still make about the same amount as a grad/research scientist/professor?

Re: MIT IQ: The MIT Intelligence Quest

#12
Understanding the recipie and salient ingredients by which nature generates intelligence so that we can build a theory of intelligence is long overdue but they’re starting at too high of a level. We don’t have a good model for artificial neurogenesis that allows us to create complex AI from a simpler set of building blocks, we don’t have a genotype-to-phenotype mapping or a generic representation to encode complex phenotypes in a mathematical genetic abstraction, we don’t have an abstraction by which mutation can create open ended phenotypic variation, we don’t have a model for artificial evolution to drive the evolution of novelty.

If we want to solve this problem we’re going to have to reverse engineer intelligence. Otherwise we’re just going to continue to run into walls by trying to either brute force our way from the ground up and by ignore lessons from biological intelligence or philosophize from the top down.

Re: MIT IQ: The MIT Intelligence Quest

#13
post #8

Earlier quoted context omitted.

Please explain in simpler terms ?

I'll take a stab at it. I think they are saying...Intellectuals are going to change the way they guide their research or formulate their hypothesis based on the this work at MIT. This person believes that this project signifies a paradigm shift in the fundamental origins of thought, hereafter nothing will be the same. I think this person is trying way to hard to sound smart or poetic.

"this person" was channeling the pretentious buzzword-packed hype of the OP article.

Re: MIT IQ: The MIT Intelligence Quest

#14
post #4

Sounds like they are solving the exodus of brains to Industry by effectively creating Industry-funded departments located on campus. “You will be an MIT employee, fully funded by Google.”

Near the bottom of the page: > A key to the success of MIT IQ will be identifying industry allies who share our passion for tackling big, real-world problems. That work is already underway: we have forged a number of collaborative projects with industry, such as the MIT–IBM Watson AI Lab. However, the biggest incentive to go into industry is income. Sure, your research and your department can do more with more fundin…

Maybe Google pays more than average for these positions.

Re: MIT IQ: The MIT Intelligence Quest

#15
post #3

This is the high water mark, the summer solstice if you will, of the current wave. Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.

I can't tell if this is satire about the current state of AI and its hype cycle or not.

It is referencing the following xkcd: https://xkcd.com/1831/

Re: MIT IQ: The MIT Intelligence Quest

#17
post #3

This is the high water mark, the summer solstice if you will, of the current wave. Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.

What is some evidence or reasoning that we are reaching certain hard limits as you mentioned?

I'll take a crack. Progress in ML applications to previously intractable problems has created an irrational optimism that AGI is on the near term horizon.

I'm not aware of any novel abstraction which led to a solution to these intractable problems. The problems became tractable because of silicon and incremental algorithm improvements.

This is another way of saying, yeah intractable problems are being made tractable, but these problems aren't stepping stones to AGI.

Re: MIT IQ: The MIT Intelligence Quest

#18
post #3

This is the high water mark, the summer solstice if you will, of the current wave. Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.

What is some evidence or reasoning that we are reaching certain hard limits as you mentioned?

For example, machine translation from one human language to another has been acclaimed as one of the big success areas in deep learning. But when one looks deeper, there be dragons...

https://www.theatlantic.com/technology/archive/2018/01/the-s...

Re: MIT IQ: The MIT Intelligence Quest

#19
post #3

This is the high water mark, the summer solstice if you will, of the current wave. Buckle up, Serious People are going to rediscover the fundamental Hard Problems and relocate the current Hot Topics into their appropriate ontologies.

I can't tell if this is satire about the current state of AI and its hype cycle or not.

yeah, cousin comments are treating it as if it's serious, but the capital letters make it sound sarcastic

Re: MIT IQ: The MIT Intelligence Quest

#20
I respect what they are doing but I disagree with the methods. Intelligence could be one of those kind of things that is very hard to engineer directly. And we'd have more success if we inspected the underlying processes and then simulated those.

I've posted this before but here is my proposal: https://scrollto.com/life-a-universe-simulation/

What I propose is a minimum viable digital environment that can support the creation of self-organized turing machines that feed off their environment. What this really means is, coming up with a digital environment that can support the evolutionary process. Evolution requires vast space, vast time (in this case -- clock cycles), and principles that allow for both storage and movement of information. The storage and movement of information is accomplished most simply by roughly emulating mass/energy conservation/conversion laws that we have in our universe. With just collisions that form stationary quasiparticles, and can also annihilate to reform the moving fundamental particles, universal computation is enabled.

Toffoli and Fredkin discovered the power of collision-based computing decades ago. There is a lot of literature and good results they derived on the power of these types of systems.

Let's create life the only way we know it formed -- evolution. It's far more elegant and less engineered than trying to unravel how chaos formed competitive results on a million-deep evolutionary ancestor tree.

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