imagine living in a community with a fear of acting communal lol

i just don't get the idea of counting days, are you guys like depressed or something? what do you think will happen the day, let's say nvidia announces that they have achieved neural network to run on a neuromorphic hardware in a very optimal way.

big announcement but we'll all forget about it in a couple of days :)

after that it's a game of implementation and industrialization. how can we make our industries more powerful and take this human enterprise on a next level. i doubt that the leaders and capitalists would have any desire for a utopian society with shared resources and harmony. that kind of ask will take at least a 100 years to be implemented on our society. this is a big change.

i personally don't expect to see much significant changes in my lifetime where i'll get a $500/mo check from some AI Labor Law Allowance. maybe in the coming generations if we play our cards right and don't wipe out all lives and any hopes for artificial life/intelligence.

CGI = computer generated graphics.

Human made CGI involves working with video editors, 3d model/texture/render, animation using math and physics (eg: coefficient of viscosity for fluid, friction, gravity, force etc), and many other awesome tools to do these things.

AI produced CGI involves 0 of those things. Let's say you want to produce an animation of water flowing through the tube. Traditional CGI is the human way, involves math & physics and a lot of computation.

Now imagine training a neural network with millions of moving images of fluid of various viscosity and making it able to guess every next frame, if you give a start (context) and current state of the fluid (particles), it would be able to predict every frame after that. It was trained on data we generated using math & physics, and now it doesn't need it.

Just like you when you learned how to ride a bicycle. Go figure.

Hello.

Yep, it's not about how you learn something, it's about if you learn something.

AI can help with most repetitive yet curious questions and teachers could monitor progress and help with things AI can't, yet.

imagine learning Fourier transform while actually asking Fourier himself about the math. i think our education will evolve towards that. AI teaching assistants that help the human teachers keep track of things.

to get it straight, you do want the "rainbows & sunshine" society, but you're just negative about the rich ppl letting it happen, yes?

as humanity has progressed, rich people have become outliers, what majority wants will eventually happen, although there will be billionaires and corrupt governments exploiting the system, i do see a ray of optimism that humans will converge to end the suffering one way or the other.

I have recently started thinking about the use of quantum computer for gaming but the ideas are still in primitive phase. For classical computers, one of the ideas I have is of a truly open world representation of planet earth with all the civilizations and culture.

The major problem was always data. Where would you store such plethora of models, textures and all the assets. You can now think of AI as a massive data compressor. You can train it on terrabytes of information from all around the world, every city and corners, people, dresses and so on. We've pretty much already trained it for people and random landscapes, we just have to add earth's geographic training to it, something like microsoft did with flight sim but more detailed.

The game can then procedurally generate the place with random vietnamese NPCs as you walk the streets of Hanoi with accurate topology and structures. This is doable within this decade.

yep, i almost feel bad for the nerds who are going into neuromorphic computing in the hopes of mimicking brain like computer while they can totally do all this in software. it's always a software/theoretical problem and once you solve it, you can implement it on a hardware, which is whole another engineering challenge. also imo we need some new/better algorithms for solving problems that look "hard" to solve. hope most people focus on this.

if we're purely talking about gpt-3 then it's not sufficient to replace a human because it is not coherent to make business decisions on it's own, it will need human supervisors.

the way i see it, these LLM AIs will keep getting better but they'll actually empower human workers, not replace them. we'll be capable of doing more thinking and less acting jobs. but yeah we might get rid of actors and only value thinkers in the upcoming job market. who knows how this will evolve with our herd mind.

Michael Levin's lab would be my first suggestion.

not sure if you guys know, but biologists & computer engineers are studying cellular engineering where we use cells to 3D print not just biological organs of species but whatever shape or functioning blob we want to make in the morphological space.

the way cells do these things is by using electric gradients and potentials, facilitated by ionic chains that enslave the cells into doing specific functions, like kidney cells would only do kidney stuff. engineers/biologists have figured out that if we take out a bunch of cells, any, like skin cells, and put them on a dish, they don't know what to do. for eg, skin cells don't start making layers or do skin cell functions when they're not genomically bound to an organism. think of cancer cells like cells that got freed from the bullying that enslaved them to do skin things.

now imagine putting a bunch of cells on a dish, and then supplying an electric gradient that biology uses to print a head with eyes, not genomically bound to do so, we're just supplying it similar gradient that biology uses to 3d print a head. if we do this by extracting a bunch of tadpole cells, and ask it to 3d print a head, it will 3d print random heads in the evolutionary adjacent hierarchy. the cells don't know exactly which head to 3d print since they're not 100% genomically bound by a tadpole DNA.

the mindset is shifting from "why are there cancer cells" to "why are there anything but cancer cells".

if you understand all this as a computer programmer, i suggest you expand your horizon and join this engineering extravaganza.

yes, it's not very efficient output method even for fission, but it doesn't even apply to fusion imo.

the energy output of fission is mostly heat, so it makes sense to use it for boiling water, but the energy output of fusion is more diverse including neutrons and alpha particles etc. we're going to need some revolutionary ideas to capture most of the fusion output. it'll just get better once we have a working prototype. just like everything else we've invented and perfected over the years.

im glad people like him are gatekeeping intelligence.

we also have people like joscha bach and yoshua bengio working on alternative networks like generative flow networks that learn by sampling whatever data available unlike deep learning that needs a lot of traning dataset, almost like how humans learn.

for someone who actually wants to learn coding, it'd be more than a mentor. gpt-3 can explain problems with a code, or explain the logic behind writing the codes too, not just a tool that gives you codes. it's a tool with plethora of knowledge and capable of coherent conversations with it's students :)

you can just sign up beta and use openai playground for that. da vinci model is still dirt cheap imo.

that's what i meant by human biases and ambiguities, and that spans multiple cultures and languages and human history. we just have to train it better, the data sets seem more primitive than the algorithms.

yep, 36 now.

i like doing new things, I've done computers for 20 something years now, but every few years a new thing in it. now i want to build furniture and learn about various disciplines of science, particularly relating biology to computation. why do you ask?

we don't care to count how many applications we can produce. i do my 8 hours and take money home. if I'm replaced, I'm replaced lol.

actually the opposite in my company, we hire more because each can do more and they can make more, but I'm the only dude who's doing this that i know of.

I've already figured some quirks since I've been asking for c#/sql stuff. even azure pipeline yamls and some basic ansible scripts. plus i play with a lot of image generation tools. prompt skills is an intuition that will be taught in schools. we're just a bit early. eventually when the ai embraces human biases and ambiguities, we won't have to learn much about prompts.

it is safe for about a decade imo. i work in this field and am aware of the challenges in automation. i activity use gpt3 and other automation libs at work. last week i gave it a amr/discount calculation method/code and asked it to explain it. saved me a solid hour probably. i also use it for writing complex sqls or codes, and i just cleanup the output it gives, usually accurate or time saving. i give it 10 years before my enterprise clients are ok with codes coming off a machine going to prod without human code review.

for a short period, our jobs will revolve around prompt engineering before that is also super automated by AI to understand our needs before we even speak.

eventually, AI will probe our universe and give us the answers we've been asking since i was born.

"since i was born" because this all could be a simulation fed to my neural network, just like yours, and i could never conclude the true objective nature of the universe with the given situation i'm in. every interaction i have observed to be consistent and harmonious in this universe is nothing but information being processed in my head that renders the "objective" reality.

this new bong is good.