Recent comments in /f/singularity

Beatboxamateur t1_j6l9ymn wrote

I'm counting mothers/parents in this too(although there are also a lot of shit parents), but the general idea still stands, that babies/young children need human input to learn language and basic communication skills. Your entire personality is formed in your early formative years, and that's heavily dictated how you were raised, what kind of body and facial expressions you acquired via the people around you, as well as language. I don't think it'll be so easy for AIs to replace mothers and other people who raise young children. I wasn't referring specifically to the work itself, just the importance of the human interaction.

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moobycow t1_j6l42sl wrote

Look, it got heated, but I very honestly do not understand what you think this conveyor belt delivery system is doing that couldn't have been done a decade, or more, ago. This is not singularity tech, it is basic assembly line automation that has been available for a very long time. Put item here, then it goes there is not new.

So instead of continually pointing out that they put things on a delivery mechanism and yelling at me how I am stupid for not seeing how that changes the world, explain to me how that is new tech instead of tech that has been available forever, but McDs decided to try out.

Edit: and, yes, a robot. Which is also not really new tech. Fun and cool, but Japan & China had similar silly butler robots a long while back, I think around 2015 or so.

Second edit, found a link: https://fortune.com/2015/07/06/robots-china/amp/

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moobycow t1_j6l3cpd wrote

Yes, and it will be interesting when they have progress to show there. But this? This is basically automating things by making the customer do work a cashier used to do. Which, is great for McDonald's, but not exactly a huge leap in technology.

3

GPT-5entient t1_j6l1uul wrote

Contractor, plumber, renovator, physical jobs in unpredictable environments are going to be the hardest to replace.

But also I would focus on areas of growth. Mechanical engineering could be good as it applies to robotics which is going to be absolutely huge very soon. Better would be even some kind of specialized robotics degree. Not that these jobs are not going to be augmented by AI, they will be, but there will be huge demand that won't stop until almost everything is automated.

I also think software engineering is gonna do ok, yes, it will be heavily augmented by AI, but as price of software plummets due to productivity gains it could open new avenues of applying software, or improving software, areas for which it is currently too expensive. Robotics is large;y software as well. But the best days are probably coming to an end, sadly. But who knows... Machine learning experts are probably gonna do very well for some time.

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starstruckmon t1_j6l1k5l wrote

>take a human and show them 4 or 5 images of an animal they've never seen before they'll generally be able to draw it quite well

4-5 is actually enough to fine tune a pretrained SD model. Which is the correct comparison since we're already pretrained. Even if you ignore all the data upto that point in your life, even newborn brains are pretrained by evolution. They aren't initialised from random weights. Easier to notice this in other animals that can start walking right after birth.

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moobycow t1_j6l0r38 wrote

You are fucking moron. It just goes to the next person in line. Or. If it's super fancy it has a number for the slot where they place the food that corresponds to a person.

Wait until you learn about the pneumatic tubes in NYC that delivered mail a century ago.

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starstruckmon t1_j6l0a56 wrote

Very few patients are going to be okay with robotic surgery that isn't supervised by a doctor. It doesn't even matter if it's technically better. Patients are just not going to trust it. Same with pilots. Even if it's fully auto-pilot they'll want someone to take control if something goes wrong. Trains are much easier to automate yet they still have an engineer/driver.

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WikiSummarizerBot t1_j6l09ce wrote

Reply to comment by Superschlenz in A.I TIMELINE by Aze_Avora

Moravec's paradox

>Moravec's paradox is the observation by artificial intelligence and robotics researchers that, contrary to traditional assumptions, reasoning requires very little computation, but sensorimotor and perception skills require enormous computational resources. The principle was articulated by Hans Moravec, Rodney Brooks, Marvin Minsky and others in the 1980s. Moravec wrote in 1988, "it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year-old when it comes to perception and mobility".

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Specialist-Pie8423 t1_j6l05j3 wrote

Do you think it just moves non-stop with no notion of which order goes to which customer? Did you see the FUCKING ROBOT for when you’re INSIDE THE RESTAURANT? You clearly didn’t bother watching the fucking video, and want to weirdly downplay it for some bizarre incomprehensible fucking reason, shut the fuck up, idiot.

−4

starstruckmon t1_j6kygds wrote

I can't really speculate on that topic. It's currently an active area of research.

To be honest, this problem is so widely known that I hadn't considered finding sources to support the claim. Here is the best authoritative source I could quickly find

https://arxiv.org/abs/2012.15613

It may seem counter-intuitive to link to a paper that supposedly fixes this issue, but this is obviously the most likely scenario in which a paper would discuss it. Also, if you read it carefully, you'll see that while the authors managed to reduce the gap, it still persists.

1

Patient-Angle7939 t1_j6kxf30 wrote

Yes a lot of time you invest will be 'wasted', and I am faced with having 'wasted' a huge amount of my time learning languages, programming, etc. etc. This pressure you feel to adapt is actually thrust upon you by people who do not care about your mental health, or humanity thriving as a whole. It is disheartening and normal to feel that our efforts will come to nothing and there are no guarantees. A good question to ponder is why it is that such an 'innovative' and 'groundbreaking' thing can cause such negative impacts and what that portends for the future.

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