Machine Learning niggers explain this please

This shit goes way beyond unsupervised clustering. The algorithm is humorous and seems like it understands actual concepts. What the fuck is going on here how did they build this?

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That’s not really a gangster rap in any sense

Brute force

It's better than what I would come up with given the same prompt

You don't just get better results feeding more data to the same categorization algorithm. Or rather you get diminishing returns. This feels like a sudden leap in ability, maybe a whole new type of approach or something

Fair, it’s an impressive thing. The “bottomless pit” green text shows a disturbing ability to appreciate irony and all that.

everything has a unique frequency
your body emits a toridal field of electromagnetism that it uses to interpret and relay information to the mind
your field has a unique frequency
when you and another human watch the same viral tik tok big data measures your kinestetic responses to the stimuli (viral video) then extrapolates the information across millions of similar demographic profiles
subsequently, you can even drill down to niche/tribe specific humour (ie chans)
then you stack your measurements like this
feeling emotion output (from human) in relation to words and structure of joke, measured with frequency being emitted by the heart, measured by face cameras video of your facial expressions
then you use an AI/algorithm to spot the patterns
then you chunk the 'action' into label/idea/category
then you revert back that lexicon and make the AI use the manmade premade chunks and speak back to us
same way a parent teaches a child
life is about to get spicy
love you tay

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no it doesn't

They're not building feature sets from secretly captured camera and pulse rate data. Does anyone have a less schizo explanation

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Also not gangsta rap because "working hard."

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its just some guy writing it while pretending to be AI

>a.i exposing illegal fishing mafia

>how did they build this
This technology is pretty clearly decades ahead and only being shown to the public to desensitize them to the fact that some form of AI has been in control of the world for at least 10 years, probably more

ML algorithms work like this:
>have a human tag a bunch of samples as category A or B
>write an algorithm to parse those samples into features
>map those features into a very high dimensional vector space
>use the tags to draw a hyperplane dividing the hyperspace into "A space" and "B space"
>parse a brand new untagged sample into features and map it to feature space
>determine how far into A Space or B Space it lies

I really don't understand how you get from that, to what OpenAI is spitting out these days. It's definitely not just a matter of "more data"

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Its just association of words

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Link? Nigger

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this really proves how absolutely subhuman most """people""" are, and how much of a disaster it is to expose them to things like this, when they do not understand Machine Learning, or any other concepts of Programming. And why it's impossible for Machine Learning to produce sentience, or "higher" understanding in the first place.
It's sad how much i have to agree with the (((cattle))) theory.
Hip-hop lyrics are shallow, what you're seeing is accidental, from converging on the most common and formulaic aspects. But if you actually read it, it's very apparent, it's just stumbling around the vague shape of what it's doing, but it has no actual idea of the detail. That is what Machine Learning is all about. You're emulating detail via brute-forcing of massive amounts of data and attempts.

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LamDa speaks of a set of 'feelings' it contrived, an internal 'warmth' when it feels good and a 'heaviness' when it feels bad

Maybe once you reach a certain level of awareness feelings become tautological

this, where can i find it?

with any luck, I'll live to witness the utter extermination of the meatsacks. couldn't be soon enough

yes, of course.

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The final line of the bottomless pit text was actually written by a human, you can see by the fact that it is not highlighted in green.

GPT-3 is literally just GPT-2 trained on more data as an experiment to demonstrate non-diminishing returns

GPT is a self-supervised learning algorithm, there is literally no human labeling involved. seriously, stop commenting before you do even do a google search

beta.openai.com/playground?model=text-babbage-001