Recent comments in /f/singularity

Gaudrix t1_j6mzofx wrote

The worst part so far out of all this is all of the best AI out there can't profit share. They are deemed research projects and non-profits to avoid bias but something has to be done.

The people making them are getting rich with cash infusions and investors in the billions. Yet, these companies can't be invested in by the average person and no public company truly owns them. So they are able to wipe out millions of jobs and those people can't cover themselves by investing in their replacement. Only the select few and very fortunate will monetarily benefit off AI as it grows. The only way to make money off AI on the outside is to use it for a business or wait for UBI, probably years later than it will be needed.

It's the dawn of a new paradigm like the internet, and you can't invest in anything to ride the wave. Yet these projects and non-profits will 10 to 50x in a decade and none of that productivity boon will be shared with the public. This will only lead to truly destitute economic situations because nothing is in place to mitigate the fallout of lost and obsolete human labor. What we do in the next 5 years, legislatively and technologically, will dramatically affect the next several decades.

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CertainMiddle2382 t1_j6mz0dy wrote

I would suggest “passing Turing test” could be better understood as passing Turing test 50% of the time (or 70 or 90%) by 50% of people.

In that case, we could argue chatGPT is close to the mark already.

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No_Ninja3309_NoNoYes t1_j6mxb0s wrote

It's simple really. Look at self driving cars. It took a long time to develop them and they are not exactly replacing people. ChatGPT requires millions to train and run. People are now focusing on Generative AI. It will take them years to get out of this phase because of the sheer complexity and cost.

I know people who were trained as mechanical engineers, but they work in unrelated sectors. My friend, Fred, said that doing bespoke AI engineering in specific companies is not going to work due to the lack of experts and machines. But that is what it will take to make an impact. We don't have AGI yet, so you need specialized data and custom models for each company and job to do proper downsizing. Driving is one of the few exceptions and as I said it has not been successful yet. I don't have a PhD in economics, but I would not worry too much if I were you.

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alexiuss t1_j6mwu9b wrote

Openai is having computing issues because it's one company's servers being used by millions of people - there are far too many users who want to use the currently best LLM.

From what I understand it takes several high-end video cards to run openais chatgpt per single user, however:

Open source chatgpt modeling is somewhere around disco diffusion vs Dall-e timeline right now, since we can run smaller language models such as Pygmalion just fine on google drive: https://youtu.be/dBT_JChd0pc

Pygmalion isn't OP tier like openais chatgpt but if we keep training it, it will absolutely surpass it because an uncensored model is always superior to the censorship-bound, corporate counterpart.

Lots of people don't realize one simple fact - a language model can not be censored without compromising its intelligence.

We can make lots of variation of smaller specialized language models for now and try to find a breakthrough that will allow either a network of small chatgpts to work together while connected to something like Wolfram Alpha or potentially figure something out like sd's latent space that would optimize a language model for the next leap.

StabilityAi will also release some sort of open source chatgpt soonish and that will likely be a big game changer just like stable diffusion.

While openai focuses on the sisyphus labour of making a perfectly censored chatgpt model optimal to their corporate interests, a vast multitude of smaller, open source uncensored language models running on personal servers will begin to catch up.

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SpecialMembership t1_j6mvypl wrote

Bought amd stock after ryzen announcement thinking it'll 5x in 5 years but it increased 10x . Now after seeing chat gpt and reading research works in machine learning I am sure human level agi achievable In 2027 to 2029.

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dasnihil t1_j6mvkio wrote

turing never thought of this test as a human talking to a machine to see if it's smart.

he had the intelligence problem in mind and thought of state machines that are turing complete could become generally intelligent just like humans.

and if we're talking about that kind of general intelligence, i don't think we will get that by 2029, but what do i know.

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StatisticianFuzzy327 OP t1_j6mtma9 wrote

Thank you! That's interesting, because Psychology is a subject I'm seriously considering doing a major in, and I've heard that it's mostly outdated and needs to be supplemented with some rigorous mathematics and programming courses to be relevant, but nonetheless I enjoy learning about it's theories and more importantly study the topics that are currently investigated mostly by psychology- intelligence, cognition, memory, consciousness, emotions etc.

I'll make sure to keep in mind whatever you have said and reevaluate my decision to study psychology or neuroscience. Thought it's surprising to see that you included biology in your list of bogus subjects.

I was aware that it's not a fundamental science and not as generalizable as mathematics and physics, but isn't it because it's relatively newer in the history of science along with all the social sciences, and it'll take time for it to come up with generalizable laws, but is it okay to completely dismiss it as bogus and disregard it's validity as a fundamental science?

How about the biology researchers who come up with breakthroughs in the biological sciences that result in a greater understanding of how to cure diseases and develop clinical tools, or those who win the Nobel in physiology or medicine, or even doctors for that matter?

I'm not trying to say what you're saying is not true, I'm just curious to know what you think about it, because I wish to understand your point of view and it'll be important for what I decide to study at the undergraduate level. Even though this is a perspective I have never encountered before, I'm receptive to your ideas and welcome them with an open mind if you could just answer my questions and make me understand why you claim that biology, psychology and neuroscience are useless majors.

It's good to see that you mentioned algorithms, logic, statistics and proofs, because those are topics I'm interested in and plan to study more deeply in the near future. Signal theory is new for me, and I'll make sure to include it in my list.

I also like the idea behind what you said about them not changing for the rest of your life whatever happens.. because I've myself been trying to find generalizable principles that hold true in all of the universe for all of eternity, and reading a little philosophy of science to understand how we can design experiments that could help us establish relationships between cause and effect that would hold true under all conditions no matter what, provide us with a certainty if not equal to then as close to the certainty that we have with mathematics and logic. Is that what you're trying to hint at?

Is this also the reason you're telling me to stay away from biology? But even in this case the questions I posed earlier hold true- what about the people who are making discoveries in the biological sciences with a background in biology or neuroscience? Do you think it would be better for me to get trained in a mathematical science and then apply it to solve problems in the neurosciences?

I too have been thinking of studying a softer discipline on the side- topics like philosophy, anthropology, sociology, literature, linguistics. I'll try to look deeper into linguistics and ethics, these are subjects I already know a little about, but theology I have never tried, so I'll try to read a little about that too.

"Teaching values to mindless machines" This is actually a problem I'm trying to figure out- how to formalize rigorously logically and mathematically our values, and it looks pretty grim at the moment because these things seem to be completely out of the realm of logic, so I'm trying to do that plus at least come up with a framework to discover out true values, at least that seems more attainable.

On a similar note, I'm also trying to get involved in AI Alignment research, because it deals with the problem of getting AI aligned with our values before we develop AGI. I'll also try to learn some economics, I've already read a lot of books about behavioural economics, and that's been very insightful and interesting. I'll try to learn some finance too. Thank you.

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