This image Of Woman Confidently Strolling Through A Glass Panel Has Been A Redraw Format Since 2021
Three Years Ago, This Boar's Head 'Exploded' Onto The Meme Scene
Remember Il Vaticano? The Anarchy Chess Memes Turns Two Years Old Today
Phrase 'The Fridge Protects The Snacks' A Growing Favorite Among Pickup Artist Influencers
Jamie G, The Bosh British Charva, Has Taken Over TikTok With His Signature 'Oh Cherie Amour' Sound

danshive: In science fiction, AIs tend to malfunction due to some technicality of logic, such as that business with the laws of robotics and an AI reaching a dramatic, ironic conclusion. Content regulation algorithms tell me that sci-fi authors are overly generous in these depictions. "Why did cop bot arrest that nice elderly woman?" "It insists she's the mafia." "It thinks she's in the mafia?" "No. It thinks she's an entire crime family. It filled out paperwork for multiple separate arrests after bringing her in." I have to comment on this because this is touching on something I see a lot of people (including Tumblr staff and everyone else who uses these kind of deep learning systems willy-nilly like this) don't quite get: "Deep Reinforcement Learning" AI like these engage with reality in a fundamentally different way from humans. I see some people testing the algorithm and seeing where the "line" is, wondering whether it looks for things like color gradients, skin tone pixels, certain shapes, curves, or what have you. All of these attempts to understand the algorithm fail because there is nothing to understand. There is no line, because there is no logic. You will never be able to pin down the "criteria" the algorithm uses to identify content, because the algorithm does not use logic at all to identify anything, only raw statistical correlations on top of statistical correlations on top of statistical correlations. There is no thought, no analysis, no reasoning. It does all its tasks through sheer unconscious intuition. The neural network is a shambling sleepwalker. It is madness incarnate. It knows nothing of human concepts like reason. It will think granny is the mafia. This is why a lot of people say AI are so dangerous. Not because they will one day wake up and be conscious and overthrow humanity, but that they (or at least this type of AI) are not and never will be conscious, and yet we're relying on them to do things that require such human characteristics as logic and any sort of thought process whatsoever. Humans have a really bad tendency to anthropomorphize, and we'd like to think the AI is “making decisions" or "thinking," but the truth is that what it's doing is fundamentally different from either of those things. What we see as, say, a field of grass, a neural network may see as a bus stop. Not because there is actually a bus stop there, or that anything in the photo resembles a bus stop according to our understanding, but because the exact right pixels in the photo were shaded in the exact right way so that they just so happened to be statistically correlated with the arbitrary functions it created when it was repeatedly exposed to pictures of bus stops over and over. It doesn't know what grass is, what a bus stop is, but it sure as hell will say with 99.999% certainty that one is in fact the other, for reasons you can't understand, and will drive your automated bus off the road and into a ditch because of this undetectable statistical overlap. Because a few pixels were off in just the right way in just the right places and it got really, really confused for a second. There, I even caught myself using the word "confused" to describe it. That's not right, because "confused" is a human word. What's happening with the AI is something we don't have the language to describe. Anyway what's more, this sort of trickery can be mimicked. A human wouldn't be able to figure it out, but another neural network can easily guess the statistical filters it uses to identify things and figure out how to alter images with some white noise in exactly the right way to make the algorithm think it's actually something else. It'll still look like the original image, just with some pixelated artifacts, but the algorithm will see it as something completely different. This is what's known as a "single pixel attack." I am fairly confident p--- bot creators might end up cracking the content flagging algorithm and start putting up some weirdly pixelated p--- anyway, and all of this will be in vain. All because Tumblr staff decided to rely on content moderation via slot machine. TL;DR bots are illogical because they're actually unknowable eldritch horrors made of spreadsheets and we don't know how to stop them or how they got here, send help Having been to several talks on modern ai I can confirm amos * Following @fasterthanlime what idiot called it "machine learning" instead of "bias automation" 4:44 PM - 28 May 2017 117 Retweets 256 Likes 8. t7 117 256 I always think of this tweet when I see people praising machine learning and the new kinds of AI as a panacea.

Share Pin Download More

ai artificial intelligence algorithm machine learning neural network

Origin Entry: Tumblr

File type: png

Resolution: (1400px x 4670px)

File size: 1020 KB

fulgur-caligo-custodis kurlyfryz Power move: Next time you go to the airport, bring a bottle of shampoo, but it's filled with yogurt. When they tell you that liquids aren't allowed Drink it Posted in r/madlads by u/ProbablyM_S reddit

lesbianshepard Jul 24 travelling next week for work. googled the nearest city and none of you are prepared to see what passes for the local style pizza. lesbianshepard Jul 24 this should be a crime lesbianshepard Jul 25 #someone needs to die for this #divorced dad type food #is the local chef a 12 year old latchkey kid? #as a new yorker im about to k J elf #abolish all prisons except one for these guys #that is a crime where I'm from #I'm anti regional food variation shaming but this is a crime man #mamma mia. #i took like a deep shuddering breath #i feel nauseous. #oh no they should be shot #literally the closest thing to anti-Italian racism the reviews are in: Pennsylvania must pay for its crimes

theaccidentfactory Follow I explained the concept of "blorbo from my shows" to my 71 year old immigrant grandfather because I referenced it in passing and I thought nothing of it, until today when he said "I think I'll watch peaky blinders tonight and see my blorbo from my shows" referring, of course, to Cillian Murphy playing Tommy Shelby theaccidentfactory English isn't his first language so he's not super in touch with modern slang, so I've been accidentally teaching him to talk like a tumblr user. His favorite thing to say lately is "me when I'm a little hater" when he's like talking s about the neighbor's son

View All 12,519 Images

Load 12 Comments

Moar:

+21

Tumblr - "Bias Automation" sounds like Tay AI

PROTIP: Press the ← and → keys to navigate the gallery, 'g' to view the gallery, or 'r' to view a random image.

danshive: In science fiction, AIs tend to malfunction due to some technicality of logic, such as that business with the laws of robotics and an AI reaching a dramatic, ironic conclusion. Content regulation algorithms tell me that sci-fi authors are overly generous in these depictions. "Why did cop bot arrest that nice elderly woman?" "It insists she's the mafia." "It thinks she's in the mafia?" "No. It thinks she's an entire crime family. It filled out paperwork for multiple separate arrests after bringing her in." I have to comment on this because this is touching on something I see a lot of people (including Tumblr staff and everyone else who uses these kind of deep learning systems willy-nilly like this) don't quite get: "Deep Reinforcement Learning" AI like these engage with reality in a fundamentally different way from humans. I see some people testing the algorithm and seeing where the "line" is, wondering whether it looks for things like color gradients, skin tone pixels, certain shapes, curves, or what have you. All of these attempts to understand the algorithm fail because there is nothing to understand. There is no line, because there is no logic. You will never be able to pin down the "criteria" the algorithm uses to identify content, because the algorithm does not use logic at all to identify anything, only raw statistical correlations on top of statistical correlations on top of statistical correlations. There is no thought, no analysis, no reasoning. It does all its tasks through sheer unconscious intuition. The neural network is a shambling sleepwalker. It is madness incarnate. It knows nothing of human concepts like reason. It will think granny is the mafia. This is why a lot of people say AI are so dangerous. Not because they will one day wake up and be conscious and overthrow humanity, but that they (or at least this type of AI) are not and never will be conscious, and yet we're relying on them to do things that require such human characteristics as logic and any sort of thought process whatsoever. Humans have a really bad tendency to anthropomorphize, and we'd like to think the AI is “making decisions" or "thinking," but the truth is that what it's doing is fundamentally different from either of those things. What we see as, say, a field of grass, a neural network may see as a bus stop. Not because there is actually a bus stop there, or that anything in the photo resembles a bus stop according to our understanding, but because the exact right pixels in the photo were shaded in the exact right way so that they just so happened to be statistically correlated with the arbitrary functions it created when it was repeatedly exposed to pictures of bus stops over and over. It doesn't know what grass is, what a bus stop is, but it sure as hell will say with 99.999% certainty that one is in fact the other, for reasons you can't understand, and will drive your automated bus off the road and into a ditch because of this undetectable statistical overlap. Because a few pixels were off in just the right way in just the right places and it got really, really confused for a second. There, I even caught myself using the word "confused" to describe it. That's not right, because "confused" is a human word. What's happening with the AI is something we don't have the language to describe. Anyway what's more, this sort of trickery can be mimicked. A human wouldn't be able to figure it out, but another neural network can easily guess the statistical filters it uses to identify things and figure out how to alter images with some white noise in exactly the right way to make the algorithm think it's actually something else. It'll still look like the original image, just with some pixelated artifacts, but the algorithm will see it as something completely different. This is what's known as a "single pixel attack." I am fairly confident p--- bot creators might end up cracking the content flagging algorithm and start putting up some weirdly pixelated p--- anyway, and all of this will be in vain. All because Tumblr staff decided to rely on content moderation via slot machine. TL;DR bots are illogical because they're actually unknowable eldritch horrors made of spreadsheets and we don't know how to stop them or how they got here, send help Having been to several talks on modern ai I can confirm amos * Following @fasterthanlime what idiot called it "machine learning" instead of "bias automation" 4:44 PM - 28 May 2017 117 Retweets 256 Likes 8. t7 117 256 I always think of this tweet when I see people praising machine learning and the new kinds of AI as a panacea.

View Gallery Random Image

Image Details

4,810 views (4 from today)

Uploaded Jul 11, 2020 at 05:36PM EDT

Origin Entry

Source

maxofs2d - tumblr

Tags

Claim Authorship Edit History

About the Uploader

Jokes Joestar 👌ꙮ

Archivist & Pundit & Media Chauffeur

Textile Embed

!https://i.kym-cdn.com/photos/images/newsfeed/001/871/995/38c.png!

Today's Top Image Galleries

Team Fortress 2

Assassination of UnitedHealthcare CEO Brian Thompson depicting an image of the CEO and the gunman.

Assassination of UnitedHealthcare CEO

Squirrel Girl (Doreen Green)

Squirrel Girl (Doreen Green)

The Amazing Digital Circus title artwork.

The Amazing Digital Circus