Recent comments in /f/singularity

nblack88 t1_j9diy1o wrote

I understand how you feel, and you've already had some good and interesting responses. I'd like to add another facet:

What you're describing isn't unrelenting hope, and you aren't alone on this sub in feeling that way. It's despair. A lot of people here are unhappy with their lives for a medley of reasons, and are hoping the singularity will bring a fantastical world where they can be happy. It's possible. It's also unhealthy, and does little but create a feedback loop that justifies their pain, instead of encouraging them to face it, and make something good for themselves.

Desperately wanting something to believe in is no bad thing. It just means you're human, and you're alive. That's good news! It also means you're responsible for living that life as best you can. That sounds silly, but stay with me. If you want something to believe in, cultivate some interests to identify your beliefs and then work to fulfill them. You don't need to start with some broad, sweeping ideal. Start small and practical. "I want to get in better physical shape." Do that. Then do the next thing, and the next. Along the way you'll find that Thing, that idea, or that faith that inspires you.

But you won't find it being passive. Don't wait for the singularity to have things happen to you. Go out and happen to things.

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Deadbees t1_j9di69u wrote

I am an optimistic in my future thinking. There are some dark spots in my thinking though. Firstly. There is the real possibility that we will have another pandemic involved with bird flu and at the current 60% mortality rate there is much suffering to come if the wcs manifestation occurs. Still , with 40% of us left there will be plenty of room for you. Secondly, although I am in the states, I think after an event like that. There will be an ever growing mistrust for capitalist governments and new thinking will be required, hopefully, a change will come in society that we all need. Billionaire classes and monetary policies will change to be more effective as those in power either tighten their grip or pursue less greedy self-interested methods. Maybe some form of egalitarian ai can help.

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AccordingSurround760 t1_j9dh7xg wrote

It’s quite clearly the case for a lot of people here which makes discussions extremely frustrating as they don’t like being told that, as impressive as GPT is, it is not the sign of the imminent singularity and the end of their difficulties.

Also, whenever we do get there, it might not be as different as you hope. While the technology will presumably be incredible people will still be people. They will still fight, argue, gossip, cheat, want what someone else has regardless of what they have already. We’ll probably live in homes much like we do now and the cities will be much the same and we’ll do a lot of the same stuff.

It will hopefully remove the need to work for many people and provide us with some freedom. Although I find the claims that nearly all work will vanish to be baffling. There are many jobs where being human is a plus, and basically the point. For example, a fully automated bar is not a particularly difficult problem to solve even today, but there’s not much demand for it as the human element is what matters for many people and I seriously doubt that will change. The fact that Redditors tend towards being young and introverted (or often outright socially dysfunctional) further encourages these sorts of odd ideas about the world.

The point is that it could come next year, or in 10 years or in 100 years and when it does you don’t really know to what degree it will actually help you. Sure, take an interest in it. But despite all our problems life does have a lot to offer and it can be vastly better than you might expect if you spent too much time reading about the world online. It’s almost certainly a much better bet to try to find some happiness, purpose and peace now (as hard as this can be) rather than wait for it to be provided in an entirely hypothetical and uncertain future.

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Zestybeef10 t1_j9dfxyi wrote

bruh once an AGI occurs you think we can stop it? It could take over a couple GPU farms, exponentially iterate on its design and do whatever it pleases. We wouldn't stand a chance. Also there's no real way to prevent it because you'd have to stop everyone, including china, from pursuing this research.

This unstoppable growth is a fundamental quality of life and the universe. Maybe you should ring God and ask him why that is.

Or maybe that's because exponential growth of intelligence is the destiny of the universe, as God is trying to assemble itself.

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Asleep-Land-3914 t1_j9dfbf7 wrote

I fed it into ChatGPT for fun and asked it to continue the list. Here we are:

  1. Amazon releases AI-powered virtual stylist to improve online shopping experience
  2. Google's DeepMind develops AI system that can predict protein structures with high accuracy
  3. Microsoft announces acquisition of AI startup focused on natural language processing
  4. Neuralink unveils brain-machine interface device for human testing
  5. Facebook introduces AI-powered tool to detect hate speech in real-time
  6. Apple partners with healthcare companies to develop AI-powered diagnostic tools
  7. Waymo's autonomous taxis begin commercial service in major cities
  8. OpenAI releases new language model that can generate coherent long-form content
  9. IBM Watson Health partners with major hospitals to improve patient care using AI
  10. Tesla's Full Self-Driving beta program expands to more customers
  11. Boston Dynamics unveils new AI-powered robot for warehouse automation
  12. NVIDIA introduces new line of AI-powered GPUs for gaming and professional use
  13. Airbnb launches AI-powered pricing tool for hosts to maximize revenue
  14. Alibaba develops AI-powered tool to detect counterfeit products
  15. Sony announces AI-powered camera system for autonomous vehicles
  16. Amazon Web Services launches new AI-powered tools for developers
  17. Google introduces AI-powered tool to help diagnose skin conditions
  18. Microsoft teams up with universities to offer AI-focused degree programs
  19. Baidu's Apollo platform expands to new cities for autonomous driving tests
  20. Intel unveils new AI-powered chips for edge computing
  21. Samsung releases AI-powered smart home system with voice control
  22. Twitter introduces AI-powered tool to combat misinformation and fake news
  23. IBM launches AI-powered tool to help businesses predict supply chain disruptions
  24. Pinterest develops AI-powered tool to improve visual search capabilities
  25. Volvo introduces new AI-powered safety features in their vehicles
  26. NVIDIA announces partnership with Audi for AI-powered autonomous driving
  27. Amazon's Alexa now integrates with more smart home devices through AI-powered routines
  28. Waymo partners with logistics companies to develop AI-powered delivery vehicles
  29. Microsoft introduces AI-powered tool to generate code from natural language descriptions
  30. Google's Project Starline develops AI-powered 3D video conferencing system
  31. IBM Watson Health partners with major insurance companies to improve claims processing using AI
  32. Samsung unveils AI-powered robot for household chores and companionship
  33. Amazon releases AI-powered medical transcription service for healthcare providers
  34. NVIDIA introduces new AI-powered tool for video game development
  35. Microsoft partners with major retailers to develop AI-powered customer service chatbots
  36. Waymo introduces AI-powered trucking for long-haul deliveries
  37. OpenAI develops AI-powered tool for protein folding simulations
  38. Facebook introduces AI-powered tool to detect and remove deepfakes
  39. Baidu announces new AI-powered translation tool with improved accuracy
  40. Apple releases new AI-powered camera features in their latest iPhone
  41. Google's DeepMind develops AI system that can accurately predict the shape of molecules
  42. Amazon Web Services releases new AI-powered voice recognition service for developers
  43. IBM Watson Health partners with major pharmaceutical companies to improve drug discovery using AI
  44. Samsung develops AI-powered personal shopping assistant for online fashion retailers
  45. Microsoft introduces AI-powered tool to detect bias in text and language models
  46. NVIDIA announces partnership with Mercedes-Benz for AI-powered autonomous driving
  47. Google introduces AI-powered tool to help people with speech disabilities communicate using their eyes
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bablebooee OP t1_j9deig6 wrote

It’s not that I’ve lost faith in humanity. It’s that I’ve lost faith in my life specifically. I don’t feel much emotion anymore, I’ve never felt true love in my entire life, and ADHD makes anything a pain in the ass. I feel as if I was born unfinished. I’m hoping maybe technology is the missing piece. The thing that’ll finally fix me.

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No-Swan5683 t1_j9deb42 wrote

Its the usual STEM-centric response u get from someone who lacks critical thinking skills. Someone who thinks all u need is math and science but ignores everything else. A foot soldier cog to be used by people who can actually think for themselves

I won't tell u what to do since its not my place. You have to figure that out yourself

0

vhu9644 t1_j9de7c9 wrote

I have two bachelors, one in Bioengineering (focused on mechanical engineering), one in pure mathematics (with enough classes taken in CS to have a minor if that were allowed at my school). I currently am doing an MD/PhD with that PhD being computational and systems biology. ML and AI are things I want to apply to my field, and I have enough in my background to understand some of the seminal papers in the field. I say this because I have studied core ideas in all of the majors you have put out there.

My recommendation between CS, Math, Neuroscience, and Cog Sci is, in order of priority, Computer science, then applied math, then pure math, then cognitive science, then neuroscience.

Neural networks now borrow nearly nothing from Neuroscience and Cognitive science. The relevant equations in Neuroscience and Cognitive science are intractable to do actual computation on, and while cognitive science (and some neuroscience) does try to use some SOTA stuff, it isn't where the ideas really come from. Also, the perceptron is from the 1960s. ConvNets are from the 1980s. So was backprop. What made these old things actually work was advances in hardware, and what brought them further was educated recursion and iteration. People had ideas mostly driven by deep mathematical and empirical understanding of what they were working with, and then iterated on them until it worked.

That said, If we went through a more formalism-driven proof based conception of machine learning and AI, then math would be more useful. This is not the case. While the ideas in mathematics can be helpful (for example, there is deep mathematical theory for understanding neural networks) many of these ideas are generally applied post-hoc. To my knowledge, we have basically one important theorem in play here, which is the universal approximation theorem. It doesn't say much other than 2 hidden layers is sufficient for approximation of functions by densely connected neural networks. I'm not giving this much justice because the math behind it is deep and hard and beyond pre-collegiate mathematics (hard enough that this subject is the first math class to make me physically cry). This is to illustrate how ill-equipped the mathematical world is at understanding SOTA neural networks.

This isn't to say knowledge of mathematics will not help you. For example, we know things like how the landscape of VAEs loss functions are similar to that of PCA. There is a cool math trick to make diffusion models a tractable training problem. There is work in trying to bring self-attention down to more tractable memory sizes that involves some numerical analysis. This means that if your goal really is to help with AGI, you will need to know some math.

What is important for actual AGI are scientific insights (what is sentience? How can a machine generate new ideas? How can a machine learn about the world?) and engineering solutions (How can we make machine learning tractable? How can we fit the processing power into our current hardware?). Computer science teaches you both. You will learn how to analyze algorithms in how they scale (important for fitting things into hardware), and you'll have electives that teach you how we have concepted machine learning and Artificial Intelligence. What you should supplement is solid numerical and continuous mathematics. Learn some numerical analysis. Learn some control theory. Learn some statistics. These are the core ideas and problems we want AGI to currently solve. Neuroscience won't care about making AGI work (and neither will CogSci). Mathematics is deeply beautiful and useful, but the reliance of proofs make mathematics generally a bit behind on the empirical fields.

If you have any questions, I've chosen a very different path in life, but I'll be happy to answer stuff from my perspective. Best of luck with your major choice.

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ZaxLofful t1_j9ddo20 wrote

They did much more than that good sir…Using quantum entanglement they created a quantum wormhole.

Entangling two sets of seven qbits separately, they were able to send data between the two sets; even tho the two sets of qubits never interacted with each other.

This is called a quantum wormhole because the two disjointed sets were able to send information to one another without interacting on the physical plane of existence.

In other word using quantum mechanics they were able to teleport information, which is what a wormholes is.

It’s not a wormhole that someone or something in the physical dimension, that we exist in as humans, could enter…

https://www.quantamagazine.org/physicists-create-a-wormhole-using-a-quantum-computer-20221130/

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Iffykindofguy t1_j9ddm05 wrote

I have not lost faith in humanity but if youre not actively involved in politics (which most people do not have the privilege of being able to do so) it can be hard to see any good in us, ironic as that may be. Helps me to see the people doing the good work 24/7 even if I can only chip in once a month. Get involved in your local community and expect nothing in return and youll probably have that faith restored over time. It takes time though.

​

Anyways I do hope that something changes in a big way because I dont see how our current form of existence, capitalist vs oligarchs (aka openly evil capitalists) can be sustained

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Tom_Lilja OP t1_j9dcmxt wrote

Privacy rights are what no BCI manufacturer wants to talk about today. It is easy to understand why.

>If employers collect brain data over time, could they go back and reanalyze the raw data?
>
>Technologists in the field a decade ago would have told people, “What are you worried about collecting neural data, there is so little we will ever be able to decode from surface-based electrodes rather than ones that are implanted in the brain.” They don’t say that anymore.
>
>They recognize that we can already do so much more than we ever expected. As the algorithms get better and the more data we amass, the more precise the models become.
>
>Given that most of this data is being uploaded to cloud servers and kept there indefinitely, you can have very significant longitudinal data. I hired this person when they were 23 and they are 43 now, how effective is their brain at this point? Have they served their good useful lifetime of service to us?

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walkarund t1_j9dckjx wrote

I relate with this. The hope that AGI arrives and the singularity occurs, easily represents 70% of the interest in living my life.

Traveling, studying, exercising... None of that motivates me, but witnessing the advances in AI and being able to test it myself... does motivate me. Idk, It's like life is... disappointing and boring, and I'm waiting for an abrupt change that will give me a reason to have interest in being here.

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ShoonSean t1_j9dbiqg wrote

I suppose it's possible. Hard to say. It might be possible to generate "dumb" AI in the future that are basically just more advanced versions of the language models we have today. Good enough to act as actors in whatever you need them for. I'm sure there will be moral conundrums of some form, but maybe AI intelligence will end up being different in ways that our moral concerns don't bother it in the slightest.

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