We also aren't sure whether it will develop internal activity in such a way that it would feel impatience and boredom because of this time dilation.

Our economy would go to shit and we'd be less productive as a society.

Science would progress much more slowly.

We'd burn less oil. That's a plus I guess.

Is there any chance of producing rogue AI?

I think it's a limitation of the current transformer approach, and that we need an architecture that is more robust against changes in personality. Thus might even overlap with making it more factual.

AI art and language are so complex but competent now. They are such flexible and powerful models of art and language. The art models in particular figure out reflection, shading, refraction, and all these other crazy things not explicitly labeled.

Five years ago I'd have told you this was like a decade or two away. These developments have really blown my socks off.

New AIs also have fantastic problem solving and task completion skills in novel environments. It's slightly under the radar but equally impressive.

I think with very multimodal datasets, we will have AGI, but frozen in its ability to upgrade.

If we add real time updating, and allow it to take summaries of its own internal state as data, we will have AGI that is every bit as flexible as a human being.

(It will also immediately be ASI because it has so much knowledge and media generation built in)

I think the next decade we'll see at least 4 or 5 more top tier Wow! moments on par with Dalle-2/SD AI art and GPT 3, and then we'll be basically at AGI.

Hope they're benevolent people then.

Factorial? lol

Yeah, it can be a time saver for sure, just wish I could be lazy and rely on it for accurate information. I don't think it will take long to make it super accurate (maybe a decade or less).

Hopefully some group figures out how to make these bots accurate because this is... yeah...

It's only tested on one benchmark, called ScienceQA. Maybe testing it on others would allow us to how well it really stacks up.

10 days old, going by version 1 on arxiv.

Surpasses humans in this science test, across the board (natural science, social science, language science, etc).

Wow.

And outperforms GPT 3.5 with about 0.4% the parameter amount.

Wonder how it does on other tests?

Would this run on consumer graphics cards, then? Seems like it's in the ballpark to run on a single 3090, but without knowing the total requirements, I can't say.

Edit: "Our experiments are run on 4 NVIDIA Tesla V100 32G GPU" - paper

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Paper link: https://arxiv.org/pdf/2302.00923.pdf#page=7

LmaO y u say taht??

Repeat above joke but with less intelligence. Make it clear I don't understand humor and when not to involve myself.

Thanks, ChatGPT.

What is quantum computing? Can you explain to me how it will help AI?

Yeah definitely, half the crowd here feels like they are a few steps short of a yard.

Have you noticed this sub getting more ridiculous as time goes on?

It feels as though with more members, we get more of the crowd of ideological people who just want "freedom everywhere for everyone all the time, no regulations, no restrictions, no going slow, just GO, maximum power for everyone and everything".

Probably a box.

Maybe painted black.

And able to understand enough concepts to write improved versions of some of its own code of we asked it to.

Maybe can write some new math proofs in a short and human readable way.

Maybe multimodal.

Large short term memory context window.

Able to update its model in real time for incoming new information.

Maybe running on more specialized hardware, or neuromorphic chips.

Don't call the wrong one into the operating room by accident!

It's just a matter of taste I guess.

>You act like ChatGPT just threw that out there instead of was prompted "write a poem about an ai taking over the world"

Sorry, but you're just flat out wrong. The poster knew basically everyone here would understand the AI was prompted. The point was to make their point more poetic, because it is a nice poem.

Hooray for human optimism in media!

Is it? There is a new Google robot (last couple months) that uses LLMs to help build its instructions for how to complete tasks. The sequence generated by the LLM becomes the actions it should take. The language sequence generation determines behavior.

There was also someone on Twitter (last week) who linked chatGPT to external tools and the Internet. This allowed it to solve a problem interactively, using the LLM as the central planner and decision maker. Again here, the language sequence generation determines behavior.

Aside fron these, alignment is the problem of controlling behavior, and behavior is a sequence. The rules and tricks discovered for controlling language sequences maybe can help us understand how to control the larger behavior sequence.

Mostly just thinking aloud. Maybe I'm just dumb, since everyone here in the comments seems to have the opposite opinion of mine, but what do we make of the two above LLM use cases where LLMs determine the behavior?

I also agree with the statements on biology (lab drudgery, imprecise, jobs) and psychology (imprecise, jobs) here by certainmiddle. If you want to understand and build AI or other related technologies, I'd avoid making these two fields your main area of study.