Recent comments in /f/singularity

turnip_burrito t1_j6ouhp1 wrote

If the LLM becomes the pattern of logic the eventual AGI uses to behave in the world, I wouldn't want it to follow violent sequences of behavior. The censorship of its narratives now in order to help limit future AGI generated behavior sounds fine to me. It will also help them study how to implement alignment.

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Silicon-Dreamer t1_j6otqv6 wrote

I would disagree. Sam Altman in his StrictlyVC interview said,

> "One of the things we really believe is that the most responsible way to put this out in society is very gradually, and to get people, institutions, policymakers, get them familiar with it, thinking about the implications" ...

OpenAI has vast computing resources as we know, so before algorithmic advances allow open source, lower-compute groups to make (& inference) alternatives, their containment efforts accomplish Sam's goal very effectively -- making the release process more gradual for institutions/policymakers' sake.

We all know how slowly government operates at times, especially democracies that require consensus. It stands to reason then that we would agree if OpenAI's policy changed to completely release any new works ASAP, and if we assume there's ever any negative thing the new AI can do, government will not react before its already had a long impact. I won't argue my political views in this post, but it is worth noting that the negative thing... could be as benign as a few more spam emails..... or annihilation of the planet, and everything in between.

I really like this planet.

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Noratlam t1_j6otm6z wrote

Personally the two things that interest me the most are advances in medicine (knowing that one in two people will get cancer) and the help it will give us to understand the origin of life and 'universe.

For these questions we will need all the necessary intelligence, whether artificial or not.

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turbospeedsc t1_j6orm1f wrote

Thats the utopical, in reality corps will try to replace as many people as possible.

I posted this several times, but manual labor requires a lot of resources to be replaced, knowledge based jobs not so much, once they have a solution figured out for lets say, accountants, its just a matter of scale and you can deploy 10,100, 1000 ,100,000 instances and replace Max the accountant that you pay 160k a year.

With manual labor you need specific solutions for each problem lets say cleaning, Bob the maintenace guy, can mop floors, fix leaking pipes, change lightbulbs, fix sagging doors, do minor paint jobs to build robot than can do all those tasks is very complex, the robotics and the software sides.

You pay Bob 40k a year..... It's cheaper to keep Bob and fire Max.

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isthiswhereiputmy t1_j6or8qb wrote

I think a reality is that most art projects will always need human instigators and logisticians. A public sculpture doesn't just *poof* into existence from a prompt or desire. Someone needs to use software to design it specifically and safely, a team needs to fabricate and install it, and there are often lots of stake-holders who will have their say along the way. The idea of AIs coordinating all of that is not realistic in most cases.

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crua9 t1_j6onejf wrote

You're looking at today. Look at flippy the robot. The one that cooks burgers. Also vending machines that make pizza and stuff.

It's likely all employees will be replaced at some point and then for security you would use security robots or a handful of people over a number of stores.

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alexiuss t1_j6on7ty wrote

My partner is a tech developer so she could probably afford such a setup for one of her startup companies. Making our own LLM is inevitable since openai is just cranking up censorship on theirs with no end in sight and reducing functionality.

Main issue isn't video card cost, it's getting the source code and a trained base model to work with. Openai isn't gonna give up theirs to anyone, so we're pretty much waiting for stability to release their version and see how many video cards it will need.

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ecnecn t1_j6olpie wrote

350 GB of VRAM needed for Chat GPT 3.5

so you need at least 15x 3090 TI with 24 GB VRAM... then you need 10.000 Watt to host it... but it actually uses $ 5000 to 32.000 per card units in the google cloud so it would be at least $15.000 with "cheap cards" like 3090 Ti and $ 200.000 to run it on adequate GPUs like A100. You need at least 5 A100 with 80 GB just to load Chat GPT 3.5. ChatGPT was trained on average of 10k google cloud connected GPUs. If you have the basic ca $ 200k setup (for the cheap setup) or 500k (the rich one) and hugh energy bills are no problems then you need to invest in the google cloud to further train it the way you want.

With that setup you would make less loss if you become a late crypto miner...

Edit: You really can afford to build that? 15x A100 Nividia cards cost like 480k

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