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You'd be surprised what the AVERAGE human fails to do that you think is easy, my mom can't fucking send an email without downloading a virus, i have a coworker that believes beyond a shadow of a doubt the world is flat.

The Average human is a lot dumber than people on hackernews and reddit seem to realize, shit the people on mturk are likely smarter than the AVERAGE person




Not being able to send an email or believing the world is flat it’s not a sign of intelligence, I’d rather say it’s more about culture or being more or less scholarized. Your mom or coworker still can do stuff instinctively that is outperforming every algorithm out there and still unexplained how we do it. We still have no idea what intelligence is


Yet the average human can drive a car a lot better than ChatGPT can, which shows that the way you frame "intelligence" dictates your conclusion about who is "intelligent".


Pretty sure a waymo car drives better than an average SF driver.


And how well would a Waymo car do in this challenge with the ARC-AGI datasets?


Waymo cannot handle poor weather at all, average human can.

Being able to perform better than humans in specific constrained problem space is how every automation system has been developed.

While self driving systems are impressive, they don’t drive with anywhere close to skills of the average driver


Waymo blog with video of them driving in poor weather https://waymo.com/blog/2019/08/waymo-and-weather


And nikola famously made a video of a truck using one which had no engine, we don’t take a company word for anything until we can verify.

This is not offered to public, they are actively expanding in only cities like LA , Miami or Phoenix now where weather is good through the year.

The tech for bad weather is nowhere close to ready for public. Average human on other hand is driving in bad weather every day


"Extreme Weather" tech "will be available to riders in the near future" https://www.cnet.com/roadshow/news/waymos-latest-robotaxi-is...


I'm sure the source of that CNET article came with a forward looking statements disclaimer.


There's a reason why Waymo isn't offered in Buffalo.


Is that reason because Buffalo is the 81st most populated city in the United States, or 123rd by population density, and Waymo currently only serves approximately 3 cities in North America?

We already let computers control cars because they're better than humans at it when the weather is inclement. It's called ABS.


I would guess you haven't spent much time driving in the winter in the Northeast.

There is an inherent danger to driving in snow and ice. It is a PR nightmare waiting to happen because there is no way around accidents if the cars are on the road all the time in rust belt snow.


I get the feeling that the years I spent in Boston with a car including during the winter and driving to Ithaca somehow aren't enough, but whether or not I have is irrelevant. Still, I'll repeat the advice I was given before you have to drive in snow, go practice driving in the snow (in eg a parking lot) before needing to do so, esp during a storm. Waymo's been spotted driving in Buffalo doing testing, so it seems someone gave them similar advice. https://www.wgrz.com/article/tech/waymo-self-driving-car-pro...

There's always an inherent risk to driving, even in sunny Phoenix, Az. Winter dangers like black ice further multiply that risk but humans still manage to drive in winter. Taking a picture/video of a snowed over road and judging the width and inventing lanes based on the width taking into account snowbanks doesn't take an ML algorithm. Lidar can see black ice while human eyes can not, giving cars equipped with lidar (wether driven by a human or a computer) an advantage over those without it, and Waymo cars currently have lidar.

I'm sure there are new challenges for Waymo to solve before deploying the service in Buffalo, but it's not this unforeseen gotcha parent comment implies.

As far as the possible PR nightmare, you'd never do self driving cars in the first place if you let that fear control you because, you you pointed out, driving on the roads is inherently dangerous with too many unforeseen complications.


If you take an electrical sensory input signal sequence, and transform it to a electrical muscle output signal sequence you've got a brain. ChatGPT isn't going to drive a car because it's trained on verbal tokens, and it's not optimized for the type of latency you need for physical interaction.

And the brain doesn't use the same network to do verbal reasoning as real time coordination either.

But that work is moving along fine. All of these models and lessons are going to be combined into AGI. It is happening. There isn't really that much in the way.


Maybe, but no doubt these "dumb" people can still get dressed in the morning, navigate a trip to the mall, do the dishes, etc, etc.

It's always been the case that the things that are easiest for humans are hardest for computers, and vice versa. Humans are good at general intelligence - tackling semi-novel problems all day long, while computers are good at narrow problems they can be trained on such as chess or math.

The majority of the benchmarks currently used to evaluate these AI models are narrow skills that the models have been trained to handle well. What'll be much more useful will be when they are capable of the generality of "dumb" tasks that a human can do.


Your examples are just examples of lack of information. That's not a measure for intelligence.

As a contrary point, most people think they are smarter than they really are.




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