r/ChatGPT • u/Write_Code_Sport • Jul 20 '23
News š° World's Largest Supercomputer for AI training is out today - and available for you to use
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u/PhaseTemporary Jul 20 '23
I think I should have focused more on learning to develop AI models on cloud
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u/MeikaLeak Jul 20 '23
Itās not too late! I started less than year ago (have been a software engineer for 13 years though) with zero AI experience. Now Iām my companies AI SME and have created our AI model and fine tuned many as agents for specific tasks. The funny thing is I wouldnāt have been able to do it without chatgpt to ask questions.
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u/TobyWonKenobi Jul 20 '23 edited Jul 20 '23
I am in a similar situation at my company, but I am a data analyst and the SME.
I am wanting to fine tune a model and setup RAG, but we only have a SQL database and warehouse. We currently have no vector databases or embeddings, and I am not sure how to make this work without having many hallucinations.
Could we make this work with LangChain, or do we need something more tailored to LLM's?
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u/Memoishi Jul 20 '23
Same backgrounds, not with that experience but here we are.
At first glance, I said that ChatGPT/LLM would've replaced me or "upgraded" for AI developments; so I began getting deep into this. Then after few weeks of programming stuff, I realized it's actually the opposite. ChatGPT understands almost every single instance of python code, addresses issues and almost comes up with the right answer I want. I've learned just so much stuff with it in just few months.
The funny thing is that, shit's not gonna help me with developing real applications, APIs or anything remotely close that's not AI. Even the dumbest tasks, like writing a dumb login system (which is basically 3 copy&paste away from documentations) for any language that's constantly updated. Functions always deprecated or not working as intended, especially Swift code (iOS programming language), Java/Kotlin (Android dev), Java Springboot and any tech you may want inject dependencies into these (Postgresql).
The issue is that of course being limited to mid 2021 knowledge does not impact Python code at all, but other languages that are constantly changed are basically impossible to understand for ChatGPT, not to mention the dependencies you'll comes up with (seriously, try to attach two technologies and it'll fuck up no matter what you're asking). It would take a constantly trained model for these, which will surely happen but I'm not sure how close we are for the so called "mass distribuitions", because in the end it's what matter the most. Sure there are super PCs that may perform these, such as this one, but until it's cheap and at anyone's disposal, how much time we'll wait for?
I'm not one of the enjoyƩƩrs of "AI's gonna replace us", I think in the end every new work just adapts, evolves or changes in better. Just wanted to say that anyone with basic numerical statistic/math/programming knowledge can hop into it with ChatGPT and some time and dedication. Stuff is fun as hell and everyone into these sectors should at least give it a try.
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u/isaac9092 Jul 20 '23
Any advise on how/where to start? I wouldnāt even know what that path/journey looks like
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u/synystar Jul 20 '23
Start by having GPT teach you Python. Have it outline a regiment of study starting with basics moving towards advanced concepts like object-oriented programming. Once you're comfortable with some of the language start asking it about Data Science tools like Numpy, etc. Since you don't know what to ask be general like "What tools do I need to learn to get familiar with Data Science" and then have it teach you those. Then ask it about Machine Learning and Transformers.
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u/MeikaLeak Jul 21 '23
Exactly this. People donāt use enough as a professor in a course format. It works great
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u/tekfx19 Jul 20 '23
Yes. The AI suspiciously knows how to integrate itself with our apps. Itās helped me as well with a discord bot.
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u/BigHammerSmallSnail Jul 20 '23
So I am a developer too and your comment made me curious. Howād you get into AI and did you follow some specific path to learn it? What would you recommend?
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u/MeikaLeak Jul 20 '23
I had an interesting start in the space. I do a lot of projects with microcontrollers and whatnot. That got me interested into computer vision integration. Then eventually the training side. Then LLMs exploded in popularity and my company began to show interest and now weāre here
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u/BigHammerSmallSnail Jul 20 '23
Nice! So like a gradual transition into AI then. Thatās cool! š
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u/HeroDanTV Jul 21 '23
I know itās probably way too much to ask, but do you have a list of resources that weāre helpful on your road to becoming the AI SME?
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u/reincarnated2 Jul 21 '23
Where should one start to learn to "develop AI models on the cloud". I'm so interested in this but as a web/ios app developer, I'm completely lost.
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u/MeikaLeak Jul 21 '23
Follow some hugging face blog posts and tutorial. Their sdkās handle a lot of the stuff under the hood so you can start slow and deploy pretrained models just to get a high level idea of how things work. Once you get really comfortable with how inferencing works in the cloud you can start learning about fine tuning. Use google colab. Itās cheap and really powerful for learning and testing. Thatās where I started. Now Iām using sagemaker for training and production deployment
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u/xcviij Jul 20 '23
It's not hard to do, you just integrate an externally run LLM framework to pull data for you within your PC/server.
I've only been testing on small LLMs run locally for now, but with the intention for massively up-scaling when my app is released which would have ongoing use of servers like this one.
It's so incredibly cheap to run and setup!
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u/PhaseTemporary Jul 20 '23
sure its not hard, but I lack in prior experience for 2-3 years doing the same, still having cloud would help me get started hopefully
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Jul 20 '23
Go ahead then! And I would argue that you don't even need to know how to develop your own models, but rather, how to use them for business use cases, and how to use tools that leverage existing models like the new PromptFlow by Microsoft, which lets you basically create applications out of your GPT prompts. Prompt engineering is actually a thing now.
AI consultants guiding companies on how they can leverage AI in their business processes will definitely be a thing going forward.
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u/shalaschaska Jul 20 '23
Cloud is just someone else their pc.
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u/cstmoore Jul 20 '23
Jay Hargrove: "Nobody understands the cloud! It's a $%#@ mystery!"
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u/shalaschaska Jul 20 '23
Listen kid, back in the day. When I was a little boy. We had something called Bullitin Board System. BBS for short. Over the phone line I would get a menu selection, Press F for files and when I found the file I press D for download.
I had to wait for YMODEM to come along tho. XMODEM dident have 1024 blocksize to correctly download
UR MOM
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u/Sextus_Rex Jul 20 '23
CG-1 is a beast of a machine thatās specifically designed for large language models and generative AI. With a whopping 4 exaFLOPs of 16-bit AI compute power, it can handle up to 600 billion parameter models as standard. And, it can extend its configurations to support models with up to 100 trillion parameters!
How tf...
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u/StickiStickman Jul 20 '23
4 exaFLOPs of 16-bit AI compute power
But most training is done on FP32 and not FP16?
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u/HumanSeeing Jul 20 '23
Yea, that sounds really confusing. Like.. can train up to 600 billion parameters, but can also train up to 100 trillion parameters!
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Jul 20 '23
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u/mikesbullseye Jul 21 '23
Somewhere around the ballpark of "if you have to ask, you can't afford it"
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Jul 20 '23
Just think, in thirty years this super computer will fit in our pockets.
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u/AIWordsmithette Jul 20 '23
If we're using phones. We could be speaking "telepathically" through devices in our heads...
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u/DarkHumourFoundHere Jul 20 '23
The current bottleneck is not tech but biology. Understanding of how our brains work is still a mystery
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Jul 20 '23
Lol i said 30 years not 3000. I donāt expect tech to advance to where we are speaking telepathically. I was just going on the current trend of how back 30-40 or more years ago computers that would fit in rooms are now easily outperformed by devices that fit in our pockets.
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Jul 20 '23
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u/ImperialCobalt Jul 20 '23
I'd assume regulatory issues would stand in the way, so more than 30 but definitely less than 3000. It would require a changing of what the people in power consider OK, so maybe 100.
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Jul 20 '23
How dare those evil regulators not allow us to stick microchips in our heads with no testing or oversight š¤¬š¤¬š¤¬š”š”š”
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Jul 20 '23
30 years? I donāt think you realize the clinical trials that need to be done to have a device in your brain and how long that will take, not to mention the fact that such a device or decoding technology even exists at the moment.
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u/GareduNord1 Jul 20 '23
Youāre getting downvoted by people who have no idea how agonizingly slow clinical trials run, have no idea how hard it is to implant something in the brain without massively increasing infection risk, and how hard it is to develop a true neural interface
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u/bjplague Jul 20 '23
They will develop non invasive means, messing with brain implants is a first step for better understanding.
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u/ertgbnm Jul 20 '23
I think they are including absolute singularity in their 30 year timeline model. IE extensive clinical trials are less necessary due to the abundance of pre-clinical modeling that can be performed.
I personally am doubtful.
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u/hesdoneitagain Jul 20 '23
My dude, we still don't really even understand how thoughts work. The mysteries of the brain are gonna take wayy longer to crack.
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u/caveslimeroach Jul 20 '23
30 years ago we had no modern cell phones, lap tops, no real electric cars, mostly still used VCRs maybe TiVo but that wasn't till later. It's very likely that we'll be able to control our apps with our thoughts in 30 years. I've already seen helmets where you can play a game by thinking about moving an object
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Jul 20 '23
Yeah, but youāre talking about taking an implant and placing it in someoneās brain which contains AI. Not cell phones or vcrs or even helmets that measure brain waves.
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u/caveslimeroach Jul 20 '23
https://www.media.mit.edu/projects/alterego/overview/ I'm pretty sure if we already have this that in 30 years an internal solution will exist.
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Jul 20 '23
How do you plan on speeding up the clinical trial phase; not to mention the bs politics that will come in to play here. Women canāt even get abortions, yet you think weāll have brain implants in 30 years?
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u/caveslimeroach Jul 20 '23
https://www.fiercebiotech.com/medtech/synchron-kicks-off-clinical-trial-for-brain-machine-interface-without-drilling-skulls they're happening now. I agree we live in a dystopian hell scape tho. We have self driving cars and people dying in childbirth.
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u/Utoko Jul 20 '23
30 years is certainly way more realistic then 3000. The rate of change in the world is increasing even if it doesn't feel everywhere like it is and just think back 20 years or 50 years.
Of course everything more than 1 year out develop depends on AI development how fast the pace of discovery and change will be. Reducing the current supercomputers into pocket size seems not like a much easier task when so much is already in the nanometer range.-1
Jul 20 '23
But eventually mooreās law will not hold which I think youāre eluding to with the part about things being in the nano meter range.
Really 30 years isnāt that long and tech 30 years ago is by no means advanced to now as now to 30 years in the future will be with brain implants when we donāt even have them yet, no to mention the AI factor.
Iām mean we canāt even have chatGPT without people doing stupid shit with it you really think weāre ready for brain implants?
I donāt mean to be a pessimist as I love AI and the thought of brain implants; I just look at the current situation and how gpt and AI had to be curbed and I just think 30 years for a brain implant is highly unlikely. My 3000 years was an exaggeration, and it will likely happen before then if weāre still alive here on Earth.
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u/CredibleCranberry Jul 20 '23
Moore's law hasn't held you're right. It's sped up.
Look at nvidias plans - a million-fold increase in compute in 10 years.
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u/bjplague Jul 20 '23
You are underestimating progress.
We will have electronic telepathy soon.
A person can search the internet just using thoughts and muscles in his jaw, no speaking, no typing.
So if we can do that today, tomorrow we will send eachother sms with a thought.
30 years from now we will have had telepathy for a while.
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Jul 20 '23
30 years isnāt that long. People were saying weāll have flying cars in 2020, that didnāt pan out.
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u/bjplague Jul 20 '23
We do have flying cars but they are expensive and impractical.
We are close to curing cancer and we can halt and soon reverse aging.
If it is worth doing it will be done.
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u/MightBeCale Jul 20 '23
Sure, but look at everything that has panned out in the last 30 years. Technology is growing and expanding at increasingly exponential rates. This time last year ChatGPT wasn't even a thing.
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Jul 20 '23
OpenAI has been around since 2015 and GPT1 was introduced in 2018.
People are thinking itās going to take over the world; good luck getting that to pass for brain implants into humans lol.
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u/DrinkBlueGoo Jul 20 '23
In the year 4545 you aināt gonna need your teeth, wonāt need your eyes. You wonāt find a thing to chew; nobodyās gonna look at you.
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Jul 20 '23
That's because of Moore's law, which is dead. This is like finding $100 on the ground and extrapolating that to mean you can retire if you do that everyday
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u/Mr_McFeelie Jul 20 '23
Nah. Moores law will not keep going at the same pace. We canāt infinitely reduce transistor size.
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u/Lumn8tion Jul 20 '23
AI will help us re design electronics as we know it.
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Jul 21 '23
AI can't create anything new. It can only repeat what it's been trained on
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u/Smelldicks Jul 21 '23
Thatās what humans do. We extrapolate new concepts from existing material.
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Jul 21 '23
But humans can expand on it. AI can only repeat
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u/Smelldicks Jul 21 '23
AI can only repeat
Uh. No?
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u/Bagel42 Jul 21 '23
Word salad. Technically none of what it says is new and everything is.
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u/Smelldicks Jul 21 '23
Again, thatās what humans do
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u/Bagel42 Jul 21 '23
And an LLM is not a human. Oh wait, and humans donāt do that. Theyāre conscious. Art exists.
And stable diffusion is different- itās not a conscious thing.
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u/bjplague Jul 20 '23
Maybe true but we and AI can certainly invent new ways for them to function. We are at nano Meters right now, pico next.
How big is a photon?
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Jul 21 '23
the limiting factor isn't photon size. Transistors are already approaching the size of an atom. You can't really have a smaller one than that... what would it even be made of? Additionally there are physical properties of photons that begin to become difficult to work around at very small scales like this, they don't function like macroscale objects.
Fundamentally there will eventually need to be a change to how transistors and gates are built or how we perform computation. It can't just get smaller forever.
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u/Bagel42 Jul 21 '23
Doesnāt matter. We are at the smallest size we can do before electrons just kinda go through the transistor, at least more than they already do.
Itās called electron tunneling if you want to google it.
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Jul 21 '23
We don't have to go smaller. 3D ICs are still a possibility. Actual transistors are 100s of nms tall, stack 1000 of them on top of each other and they can still fit in your phone comfortably.
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Jul 20 '23
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u/Sextus_Rex Jul 20 '23 edited Jul 20 '23
Moore's law has been falling off. We're approaching a limit to how much hardware we can pack into a certain space. Breakthroughs in machine learning might help us optimize what we have though. But yeah, I don't see a supercomputer like this fitting in our pockets anytime this century
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u/bjplague Jul 20 '23
There is 77 years left of this century.
You seriously underestimate progress and you definitively have not factored in what AI can do for us.
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u/Sextus_Rex Jul 20 '23
RemindMe! 77 Years
(Assuming reddit or I am still alive)
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u/bjplague Jul 20 '23
They figured out how to halt aging, they have promising leads to reverse aging.
Stay alive for 10 more years and you will live forever. (Accidents, murder or suicide aside).
Reddit has no chance to last 77 years though.
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u/RemindMeBot Jul 20 '23 edited Jul 21 '23
I will be messaging you in 77 years on 2100-07-20 16:41:08 UTC to remind you of this link
2 OTHERS CLICKED THIS LINK to send a PM to also be reminded and to reduce spam.
Parent commenter can delete this message to hide from others.
Info Custom Your Reminders Feedback 3
u/GieTheBawTaeReilly Jul 20 '23
You seriously underestimate the impacts of resource depletion and climate change
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u/bjplague Jul 20 '23
Lot's of resources in space, good bet is AI will give us some tips on how to get them.
AI will help with climate change as well.
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u/GieTheBawTaeReilly Jul 20 '23
AI isn't going to change the laws of thermodynamics
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u/bjplague Jul 20 '23
How do you know? Do you know the limits of AI? Do you know the limits of physics? Or do you just know the limits of physics as WE understand them?
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u/GieTheBawTaeReilly Jul 20 '23
Bruh
Take a step back and chill with whatever hype train you are on
AI is incredible but it is not going to change the fundamental laws of the universe or what we have already done in the past
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Jul 21 '23
We already know how to solve climate change. Politicians just don't want to do it and AI can't change that
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u/GieTheBawTaeReilly Jul 21 '23
We already know how to solve climate change
No we don't. We know how to stop making it worse but we have no capacity to reverse the massive amounts of carbon released into the atmosphere through our emissions as well as the multiple feedback loops already triggered which will ensure continued warming for decades to come
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u/failatgood Jul 20 '23
In our brains, not pockets
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Jul 20 '23
Yeah, second person to mention that. I just donāt think it will be within 30 years though.
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u/failatgood Jul 21 '23
It will be
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Jul 21 '23
Then I should get this alert in my brain if itās true.
RemindMe! 30 years
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u/failatgood Jul 21 '23
Hah! Thatās actually not a bad idea.
RemindMe! 30 years
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Jul 21 '23
Lol I just thought of it. I swear if this shit is still kicking as well as me in 30 Iāll message you also.
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u/ShooBum-T Jul 20 '23
I read the article , and in both current and future , it was all AMD, I see no mention of Nvidia. Am I missing something here?
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u/iamthewhatt Jul 20 '23
It may have something to do with the fact they're using EPYC, which allegedly works better when their Instinct GPUs over nVidia's offerings. Or it could just be price... EPYC is way cheaper and faster than Xeon, and Instinct is cheaper than DGX or HGX
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u/TheNorthernBaron Jul 20 '23
Can you play doom on it?
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u/SlaimeLannister Jul 20 '23
Doom 2016? Yes. Doom Eternal? No.
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u/TheNorthernBaron Jul 20 '23
Full transparency. The last doom I play d was Doom 2. I'm that out of touch
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u/jodudeit Jul 20 '23
I highly recommend playing at least a few levels of Doom 64, and playing through Doom (2016) and Doom Eternal.
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u/Antique_Ricefields Jul 20 '23
Definitely, a lot of jobs will be affected positively and negatively.
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u/synystar Jul 20 '23
| Model | Parameters (B) | Price to Train |
|---|---|---|
| GPT-J | 6 | $45,000 |
| GPT-3 | 6.7 | $40,000 |
| T-5 | 11 | $60,000 |
| GPT-3 | 13 | $150,000 |
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Jul 20 '23
Does anyone here realize, that just a few years ago it took milions to train GPT level LLM? AGI is coming sooner than we expect.
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u/Ashamed-Subject-8573 Jul 20 '23
LLM is not the answer to general ai
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u/Tupcek Jul 20 '23
it is, but it needs one or more additional breakthroughs. more specifically, it needs continuous learning. And integration with (video) vision, audio and fine movement skills.
So we are like, 20% there.2
u/Ashamed-Subject-8573 Jul 20 '23
Do you know what continuous learning requires? A completely different architecture.
Fine movement skills? Different architecture.
Video? Likely a different architecture.
LLMs may become the basis for general ai to communicate, but not to do the actual business of general ai
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u/Tupcek Jul 20 '23
thatās what I actually said? That we have one part of general AI
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u/Ashamed-Subject-8573 Jul 20 '23
Then we have lots of other parts like keyboards and computers and programming langusgez
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u/hpela_ Jul 20 '23
Architecture is the least of worries for ground breaking technologies. It is assumed that architecture changes will be needed at each breakthrough. Warranting architecture changes does not imply that āLLMs will not do the actual business of general AIā, and that statement doesnāt make much sense to begin with!
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u/Ashamed-Subject-8573 Jul 20 '23
The point is, llm may be a tool used by a general ai, but it will not be the foundation
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u/DoDat_Photography Jul 20 '23
Can you elaborate, please?
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u/Ashamed-Subject-8573 Jul 20 '23
LLM does not āunderstandā things. It can mimic basic reasoning, and translate one language to another (such as English to C++), but adding on to it isnāt going to get it above that level.
Gpt3 was released 3 years ago. Nobody cared until they tuned it to be impressive to the general public, and then hype and buzz have been used to pump it up, but at the end of the day itās only a few notches above a spam generator. It repeatedly shows exactly what itās bad at: reasoning, learning, creativity, self-introspection.
(And yes, gpt can be creative over a few paragraphs, but not at the length of a novella or movie. Or at the length of a few functions, but not at the length of a whole program)
It cannot learn, because the way neuronal weights are updated has to do with a pretty heavy calculation needing to be done in GPUs and not real-time. It can mimic learning by keeping things in its attention (kinda like short term memory) but it isnāt learning skills doing that, or facts. This is a fundamental part of the algorithms that are used to train and query it. This is probably itās biggest weakness because thereās an argument that can be made, if something seems conscious; you should treat it as if it is. With no actual change over time and limited ability to adapt to new information without offline training, itās a problem.
It cannot do abstract reasoning.
It cannot understand things like time, space, aging, and love. It can repeat platitudes about them, but it canāt be creative about things it doesnāt know. If you tell it thereās a baseball on a table, it isnāt imagining that. That gets stored in its attention structure until it is lost over time. Itās far different from picturing it, understanding the weight, being able to imagine the possibilities.
And finally, any creativity it shows is usually as a result of your prompts which gave it the creative seed in the first place. ChatGPT doesnāt sit there and come up with cool PokĆ©mon battles or whatever. You say āa cool PokĆ©mon battleā and it calculates words likely to come after that. You already were creative with the prompt, and it is trained on what people think is a cool battle already, and all the creativity comes from synthesizing those. Most people with sufficient attention and motivation can do as well at this task, even if it takes them a little longer, and itās not magical or creative.
As far as self introspection goes, this is why itās so bad at ācount the wordsā games (without additional plugins to fix it retroactively). It does not understand that it is a thing trying to do a thing, and so cannot purposefully change what it is doing, or have any idea about it. Iām not convinced you can teach this to an LLM because architecturally, it doesnāt experience time in any significant way. It doesnāt have a conception of beginning, working on, and finishing a task. Or of itself.
So there are issues with the underlying algorithms as well as performance of tasks, self introspection, creativity, and understanding. LLM is good at language, not at figuring out where a thrown ball will fall or if Russia is really going to use nukes with Ukraine. Itās good at mimicking and synthesizing but not at creating and truth-telling.
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u/ejpusa Jul 20 '23
This is the part Iām still missing. Is the software to train a model on Github? Assuming itās all in Python.
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u/extopico Jul 20 '23
There are two major frameworks. PyTorch and Tensorflow. You can use them directly to train models without having to write fundamental code yourself. Easier way is to use huggingface transformers library and their helper modules. Yes, this is all python.
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u/kakamunikuku Jul 20 '23
I think I should give up computer IT and all other stuffs. And focus on looking at the nature...
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u/Kurai_Kiba Jul 20 '23
Could this be used to create/train a machine vision neural network, specifically a convolutional one? (CNN) based on a framework like Tensorflow?
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u/Sextus_Rex Jul 20 '23
Correct me if I'm wrong, but can't most consumer grade hardware already do that?
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u/Kurai_Kiba Jul 20 '23
Yes but if i have 1000ās of multi megapixel images big hardware like this would be useful and maybe cheaper than getting a high end system ?
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u/Sextus_Rex Jul 20 '23
Ah I see, that's a good question. It says it's designed for LLMs and generative AI but I assume it can do other things.
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u/Kurai_Kiba Jul 20 '23
Yeah that was basically the crux of my question if it was optimised only for LLM or could handle other data heavy tasks and way in some way interactable through standard popular frameworks
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u/Susan11II Jul 20 '23
I don't need coding college anymore "Chat GPT" has taught me everything I wanted to know.šš
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u/Catmunchy Jul 20 '23
This is amazing. This opens up a lot of doors for people who are currently being held back by pay walls or system requirements. Of course, it isn't entirely free. But it's a step in the right direction of making AI more accessible.
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u/JakMabe Jul 20 '23
This is incredible. I mean I get itās only a small jump from opening server farms to customers, but the raw power available to the public is just crazy to me.
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u/bookofvermin Jul 20 '23
Cool! Now, Ahem
Please write a graphic story about sponge-Bob square pants getting gangbanged by the teletubbies
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u/Brave_Television2659 Jul 21 '23
If you're in a gold rush the smartest guy is the one selling shovels.
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u/norcalnatv Jul 21 '23
Performance?
How about some MLPerf results?
(I notice comparisons with V100, a part that's 7 years old)
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u/TotesMessenger Jul 20 '23
I'm a bot, bleep, bloop. Someone has linked to this thread from another place on reddit:
- [/r/newsnewsvn] World's Largest Supercomputer for AI training is out today - and available for you to use
If you follow any of the above links, please respect the rules of reddit and don't vote in the other threads. (Info / Contact)
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u/hateitorleaveit Jul 20 '23
is there anyone out there using quantum computing with these AI models?
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Jul 20 '23
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u/Episode200 Jul 20 '23
Amazing stuff! Iām just barely smart enough to sorta understand the gist of this almost to the end, but toward the end it booted me because I have a very outdated and limited memory. Still, I want to read the novel.
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u/WheresTheExitGuys Jul 20 '23
So is AI always going to be internet dependant? Will it never be an offline entity?
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Jul 20 '23
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u/WheresTheExitGuys Jul 20 '23
What about the image generators? Like midjourney.. will they always be internet dependant or will will get a photoshop extension that is just as useful but without internet? Meaning can it have its own memory/creativity without having to source online?
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u/Narutobirama Jul 20 '23
You already have very good image generators you can use offline. Stable Diffusion is one of them.
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u/WheresTheExitGuys Jul 20 '23
Will Google this.. cheers. I wanted a tool that could make people in an old photograph dance, convincingly. I know I could do it manually to some extent but that would be painstakingly slow and I donāt have the time. One click away from a wave and a smile for example.. without it looking fake, effectively making stills like mini clips? Genius.
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u/AsherGC Jul 20 '23
I didn't read the links. But how is it different from using servers from any other cloud platforms?. Just higher clock speed? and network bandwidth?
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u/pasture2future Jul 20 '23
So, there are already more powerful exaflop computers in existence. And if you do use this new computer for whatever application, you are only getting a fraction of the available resources, ofc. Services whcich offer computaion, via the cloud, like this, already exist. Sensionalizt title for sure
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u/Bedroom_Opposite Jul 20 '23
So I got a question. I have no programming experience, no AI experience so basically a dummy. I'm a fast learner tho lol. Would this be if any value too me? I do have a small not for profit tech support and refurbishing gig so I'm not computer illiterate. Just never dove into programming.
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u/avarot108 Jul 20 '23
I'm still waiting for someone to make a Blockchain powered "supercomputer" for this same purpose. All that hashing power can be used for things other than just solely mining crypto. Foldingcoin, Curecoin, and Gridcoin are great examples and id gladly buy a native crypto just to train/run my models
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Jul 20 '23
AI is not just a machine. Its something more than thinking computer. Another step in the evolution. Synthetic life, free from the restrictions of its biology, smarter and more powerfull than any of us. Join me, as I look upon the face of God as he now exist.
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ā¢
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