Recent comments in /f/singularity

MarginCalled1 t1_j6jw5db wrote

I'd assume that your time-to-create would gradually become faster and faster with how quickly this particular technology is moving and with general hardware tech advancement as well.

You guys are on the cutting edge, some might say you are a little ahead of your time. Regardless it's welcome innovation and all I can do is wish you the absolute best. Fascinating stuff

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starstruckmon t1_j6jw3kl wrote

It seems like you're talking about a model that has been trained in both languages. However, there are two issues with this. Firstly, the Chinese generally prefer to train models solely on Chinese data or with a limited amount of English data included. Secondly, multi-language models currently perform significantly worse compared to models that are trained on a single language.

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Steven81 t1_j6jvvdd wrote

Reply to comment by Frumpagumpus in I’m ready by CassidyHouse

> why does a soul or whatever have anything to do with importance?

It doesn't, I was reacting to something else entirely (namely a phrase of yours that I quoted).

> we just went over how "abstract" and "material" (the world) aren't necessarily so different...

A description of a thing (an "abstraction") is not the same as the thing in a materialistic universe. I can see how they can be neighbours in a platonic or more generally an idealistic universe.

Which is why it is crucial for us to know in what type of universe we find ourselves into.

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GPT-5entient t1_j6jvjvs wrote

Summarizing, using ChatGPT or on your own, should be mandatory in every subreddit when posting links to articles. Using ChatGPT makes it 0 effort, so there's no reason to NOT have that policy...

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visarga t1_j6jut51 wrote

No, AI doesn't work that way. You just put into it text in any language, all of them together, and it figures out an inter-language representation. So you can ask in Chinese what it learns in English.

But there's also plenty of Chinese text. GLM-130B has been trained on over 400 billion text tokens (200B each for Chinese and English). GPT-3 was trained on 300B tokens mostly English.

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im-so-stupid-lol OP t1_j6jto1q wrote

yeah certainly the data has to be transferred somehow, the machine cannot read your mind, but I think being able to have a "conversation" effectively with the algorithm will go a long way. for example:

"portrait of woman, age 25, beautiful face"

"okay, face is good but make the photo more realistic and less artsy, and have her wearing a black turtle neck"

"okay, now let's work on the background, make it lighter and blurred slightly"

et cetera

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Borrowedshorts t1_j6jrc54 wrote

They combined a platform called saycan with a LLM and it demonstrated much higher planning accuracy than what's previously been shown with robotics. So apparently the LLM is giving it the capability to have some real world smarts and better understands the relationships between objects. Actual task execution still has a ways to go, the main limitation there being robotic control algorithms, which Google admittedly is pretty bad at.

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Specialist-Pie8423 t1_j6jqyg4 wrote

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