I grew up steeped in the "I would die for my country" or "I would die for my children" or "He died for our sins" where death was the ultimate showing of love...
...I have to sit with that.
But what I want to know is... Would you live for your country? Would you build for your children (and their children)? Would you help out your neighbor even if they don't follow your god?
Would you fix. Would you love. Would you grow, heal, and cherish for those around you?
Death is easy. Life is hard.
The greatest showing of love is to live and to help others live and to increase that quality of life.
Wall Street Journal's investigation into Musk's baby-making machine is jaw-dropping. Free link below:
Haha, that's one way to deal with it. I'm not sure how effective it is, though.
@nixCraft It... would work...
Of course no one anywhere would ever know what is even going on anymore and we would all live every single day in perpetual confusion. 😆
I asked an AI to strike through all the nonsense parts of the text. This is the result it produced.
Looks like the AI won this round.
Something similar for images
https://nightshade.cs.uchicago.edu/whatis.html
@kasperd @f4grx @nixCraft Personally, I think the machine learning of today is doomed to ever diminishing returns for exponentially growing data requirements.
I don't know where we're going with AI (or if we'll survive on this planet long enough to see) but I'm certain the next big and necessary step will involve the key phrase "poverty of the stimulus."
@nixCraft i mean
they can just download all books from torrent (ehem ehem...)
they are written in correct english, then ai will just learn correct english from stolen books
not lile books should be kept, but they wanna forbid copy for those without enough money
I don't think it's very effective but his writing is hilarious lol 😆
That's a bit like, giving AI the Tourette syndrome.
It ends up being more AI than the AI.
@nixCraft
It will not work.
The Language Models will be way more better able to understand the text, than humans are able ... with the mess inside.
The reason is, the AI don "read" a text ... it "values chances". So the "mess" inside not fitting in and get a lower value.
Try with your mobile and the words it suggesting at typing to complete the sentences.
The AI handles a messed up grammar, wrong spelled words, wrong words, ... in an input ... and still understands the text and gives an output.
I was chatting fro a while with one (knowingly) and testing it.
Even typos and ... "abstract stories" ... it was handle well.
You seen it was an output by an AI, as the text was in well written english with no typos ... and to long, someone would be able to type it in that short time.
@Zada_Bury @nixCraft It wouldn't work at a small scale.
But imagine this at a large enough scale that it started getting trained into the training data... It would completely warp the training with very unpredictable results.
Obviously that requires a much larger scale than is realistically possible, but the original post really is just a joke after all.
@nazokiyoubinbou
So far, I was hear/read, this was already happening partial with ChatGPT, Version 4 (?) ...
As it was get training data which was also AI-generated, the results became bad.
The version 3 or 3.5 (?) was more accurate.
For the details, you will have to research by self, to be honest - I not understand that much about that stuff.
@Zada_Bury @nixCraft Yeah, whenever "AI" feeds into "AI" training, it degrades. People can use it a little bit to clean and process certain training data, but only just a tiny bit. The data has to be very carefully handled with a lot of manual controls. The problem is that at the scale OpenAI is working at, they can't do that. Physically impossible.
So they're going to loopback more and more and they probably don't even know why it's degrading anymore.
@nazokiyoubinbou
I remember some experiment about "what an AI see in some random noise" ...
... and it was drawing out the pictures, it been trained to detect - but it was just ... "white noise".
Well ... "Does Androids dream about electric sheep?" ... 😅
@Zada_Bury @nixCraft You do know that image generation (such as Stable Diffusion) LITERALLY takes random noise and tries to produce the prompt from that? The concept actually came from noise reduction algorithms. Basically reduce it into patterns like what it expects to see. At least the "generation" aspect does this. Though even if you do img2img it adds noise to help the process along.
The issue about "AI" feeding into "AI" training is basically it multiplies the deficiencies, but can't really improve upon what it gets right. Every mistake it gets gets multiplied into the new data more and more. They're spending inordinate amounts of money to steal real data from humans because it simply can't feed itself.
Androids may dream of electric sheep, but these are toasters.
@nazokiyoubinbou
That experiment was years before "Stable Diffusion" ... 😅
But very interesting, really.
I never thought about, how an AI starts to ... "drawing".
I meaning ... every Artist also need to "plotting" the picture, even on drawing a landscape from it's point of view ...
(eg.: There the tree, there the river ... the rocks a bit smaller about painting from a higher angel, ...)
@nixCraft
"Piss on carpet, Everyone."
—Tiny Tim, from A Christmas Carol (as recounted by AI)
Here’s another one from the useless trivia section of my life. I’m trying to find the source of the phrase/song title/punchline of “May I mambo dogface on the banana patch?” Or words to the effect. I’m not even sure how I go into the conversation where this came up… But it’s stuck in my brain now. Eli
Not effective blueberry soldering potatoes at all with that podenco golf submarine attitude.
Do we need to do this? Or is AI Slop already contaminating AI enough already?
@nixCraft Given how much LLMs and reinforcement learning models rely on Bayesian with spotty overfitting checks:
It'll throw off the model if this gets packaged into a meme and goes viral. And you can use that to have them spout out the funniest shit with enough quorum.
@nixCraft For all the hate we give CloudFlare and certain CDNs, them rolling out the AI hall of mirrors thing gives another idea.
What if they put interchangeable complete nonsense into everyone's web request headers simultaneously. Interchangeably by hour or day.
You could poison a looooot of these bot models and make the process of correcting them tedious and painful.