#How AI model works

[arentwelost]

woke up the other day thinking about the nightmare sequence in ep 11 and its ambiguity.

yes, it is a representation of how far shima and ibuki are willing to go for each other – the way that they would betray all that they have stood for, to abandon whatever future and salvation they could have had for the other person.

shima, despite being one of the guiding voices of this story about respecting each and every life and being careful not to abuse the authority vested in the police, ends up pulling his gun on kuzumi. even though one of the first lessons he had taught ibuki was that "90% of [the japanese police] in reality don't pull out their guns until retirement. not that they don't shoot. it's that they don't even pull it out." ibuki is merely threatened for shima to direct his gun at kuzumi. he not only betrays himself, but also ibuki and kousaka, both of whom he had scolded for their inability to work within the rules.

ibuki, too – his story arc, which aligns with the overarching message of the series – is focused on being able to make it in time. to stop things before it gets to the point of no return. yet despite being told by a dying shima not to kill kuzumi, he nevertheless does. becomes the kind of police that his mentor had become, as though all of the pain he'd gone through, all of the regrets about not having stopped gama-san in time, meant nothing to him in this moment.

in this reading, the nightmare sequence presents to us shima and ibuki's fear that their sense of selves and morals are not strong enough to withstand kuzumi. that they'd give in to the void when it comes to the worst.

but i think there's enough ambiguity in this drug haze dream for us to read the nightmare sequence the other way around too. we could also interpret the first part of the nightmare as belonging to ibuki, and the second half as shima's.

after all, both shima and ibuki have proven over and over again that they fear for each other more so than they do for themselves.

ibuki is afraid that shima would lean into his self-destructive tendencies to the point of sacrifice, just as he has done many, many times in the short amount of time they've known each other. shima is a man who would drive them into another car with no hesitation, who would guide a gun to his own head to provoke a clearly distressed yakuza member: "then, why don't you shoot? i'm fine either way." who, while having no intentions on actually dying, still plays hard and loose with his own life, as though that would allow him to repent for the mistakes he made with kousaka.

beyond that, ibuki fears that shima would go somewhere where he can't follow, whether that is towards death or due to some kind of misplaced need for punishment. he's chased shima down about the latter before, demanding assurance that "shima wouldn't quit being a policeman, right?" but he doesn't get a satisfactory answer, just as he only got a smile and an "understood" in response to ibuki saying he won't let shima put himself in danger again.

and so we could read the first part of the nightmare as a manifestation of ibuki's fears too – the way that shima is willing to give up on his future as a cop as well as his life to ensure that ibuki could go on.

and this echoes well with shima's fear of ibuki going off course, which is what the second part of the nightmare is about. earlier in the episode he tells itomaki that he wants ibuki to "remain on the right path." shima has been prepared to betray himself even before he had arrived at the docks; he knows that with his current investigative methods he may no longer be able to walk alongside ibuki anymore, and he does not want ibuki to follow him into the dark, especially when ibuki had just experienced the loss of his mentor, especially when he is a good person.

ibuki has lived much of his life being kicked around, given up on – yet has remained loving and kind to the world around him. in his own words, he's "glad that [he] didn't resent the world" in the ten years he's been benched. shima knows that ibuki's worth and strengths would eventually be appreciated by others, and he doesn't want to become the reason why ibuki has to give up his future as a cop. he, too, is afraid that ibuki would become another gama-san. not only that, he fears that he would be the cataylst again, just as he was with kousaka. this fear drives him to strike first; shima not only reverts back to his bad habits, but this time he's further accompanied with a strong sense of guilt and self-sacrifice that weren't there prior to kousaka's death.

considering how the narative has unfolded and the relationship that they've developed with themselves and with each other, it's definitely fitting, then, to see the nightmare sequence as a shared nightmare, as a manifestation of their combined fears. not only of themselves and who they might become, but for each other.

[ectoderms]

some of my coworkers r ai bros and theyve been finding that, duh, gpt bots will repeat ur mistakes if u feed them information that is false, so using them to check for mistakes in a pdf creates a library of mistakes for them to pull from and the learning model collapses on itself after a few uses. bc the information it was trained on was mistakes

[kraniumet]

i think image gen can be used like any other artistic tool but I don't really think the big commerical proponents of "ai" are advertising it as a tool, they're adertising it as a solution. I also think it's intellectually dishonest to argue that image generation is exactly like "using photoshop/taking a photograph" because of some generalized "those were also criticized at their conception for being new and scary and disruptive" soundbite. they were not even really criticized for the same reasons. find a better argument.

[eossa]

Figma is gradually rolling out AI tools to their userbase. For that purpose, they will also use users content for training the AI model.

According to their website (linked above), they will start using user content for training starting from the 15th of August 2024. For starter (aka the free plan) and professional teams, the training is turned on by default; you have to go into your settings and turn it off.

[disgustedorite]

learned the history of digital coloring in comics and it makes me hopeful that corporations will realize in time that ai is not a cheap unskilled shortcut either

[r2y9s]

[OCs]

brainstorming a little guy

(it's actually not that little)

[cherriko-art]

Today's random thought:

It's always so disheartening to see when different sectors of art/creators don't align.

Morals and advocacies are bound to clash bc none of us are perfect and we're all different, but it still hurts to witness. Seeing actors promote generative AI, or seeing artists pirate novels online, or crafters stealing artwork and designs, etc.

I feel that any sort of creative, no matter what area you create in, has faced the unjust reality of other people taking/stealing/profiting/undermining your work. Art has always been kicked around at the bottom of the bucket bc people believe they have the right to our work, that it's "just art". We've experienced this so often.

That's why I think it hurts even more when I see other creatives do the same to other creatives. Like an art-on-art crime.

[allcirclesvanish]

artists curating the details of ai assisted rendering are definitely still making conscious choices about their own art...? like how is that even an argument lol. do people who think like this have any such arguments about blending brushes? or photographs? every day i see people making the same arguments about what constitutes "real" art and every day i swear they are inching closer to outright saying that real art can't be created using computers at all. it's silly.

[maeo-png]

spineless cunts

[beesmygod]

ed zitron, a tech beat reporter, wrote an article about a recent paper that came out from goldman-sachs calling AI, in nicer terms, a grift. it is a really interesting article; hearing criticism from people who are not ignorant of the tech and have no reason to mince words is refreshing. it also brings up points and asks the right questions:

if AI is going to be a trillion dollar investment, what trillion dollar problem is it solving?

what does it mean when people say that AI will "get better"? what does that look like and how would it even be achieved? the article makes a point to debunk talking points about how all tech is misunderstood at first by pointing out that the tech it gets compared to the most, the internet and smartphones, were both created over the course of decades with roadmaps and clear goals. AI does not have this.

the american power grid straight up cannot handle the load required to run AI because it has not been meaningfully developed in decades. how are they going to overcome this hurdle (they aren't)?

people who are losing their jobs to this tech aren't being "replaced". they're just getting a taste of how little their managers care about their craft and how little they think of their consumer base. ai is not capable of replacing humans and there's no indication they ever will because...

all of these models use the same training data so now they're all giving the same wrong answers in the same voice. without massive and i mean EXPONENTIALLY MASSIVE troves of data to work with, they are pretty much as a standstill for any innovation they're imagining in their heads

[staff]

Hi, Tumblr. It’s Tumblr. We’re working on some things that we want to share with you. 

AI companies are acquiring content across the internet for a variety of purposes in all sorts of ways. There are currently very few regulations giving individuals control over how their content is used by AI platforms. Proposed regulations around the world, like the European Union’s AI Act, would give individuals more control over whether and how their content is utilized by this emerging technology. We support this right regardless of geographic location, so we’re releasing a toggle to opt out of sharing content from your public blogs with third parties, including AI platforms that use this content for model training. We’re also working with partners to ensure you have as much control as possible regarding what content is used.

Here are the important details:

We already discourage AI crawlers from gathering content from Tumblr and will continue to do so, save for those with which we partner. 

We want to represent all of you on Tumblr and ensure that protections are in place for how your content is used. We are committed to making sure our partners respect those decisions.

To opt out of sharing your public blogs’ content with third parties, visit each of your public blogs’ blog settings via the web interface and toggle on the “Prevent third-party sharing” option. 

For instructions on how to opt out using the latest version of the app, please visit this Help Center doc. 

Please note: If you’ve already chosen to discourage search crawling of your blog in your settings, we’ve automatically enabled the “Prevent third-party sharing” option.

If you have concerns, please read through the Help Center doc linked above and contact us via Support if you still have questions.

[ineed-to-sleep]

Right now, my number 1 way of telling whether or not it's AI is to always check out the artist. Has worked 100% of the time so far. If it's a repost, it should at least have the artist's name or a link to their other social media profiles on the post, so you can click it or type it on google and check to make sure the artist is real. If the artist is on tumblr, you can take a quick scroll through their blog and that'll usually tell you whether it's AI or not(real artists are usually more interactive in some way, like writing captions or having other posts besides art or talking about their process. Also most of the time AI posters tag their posts as AI).

You don't have to do this for every post, but if you see some art that makes you a little suspicious, or looks very realistically rendered and smooth, OR if it's a repost(definitely when it's a repost), it's always healthy to check.

Begging people to stop reblogging this AI trash from “The Phantom Painter” on Instagram (instagram.com/phantom.painting). I’ve been seeing it on my dash more and more often from people who are otherwise anti-AI and either can’t tell it’s AI or don’t care because it looks cool.

This is the kind of shit that is VERY CLEARLY trained on the works of existing talented artists’ with distinct styles and this asshole is selling prints and making a profit off of stealing other people’s hard work.

Don’t give people like this money or attention and they will go away.

Please, if you’re going to buy art prints, buy them from an actual artist.

[kotori-mochi]

Can't afford art school?

After seeing post like this 👇

And this gem 👇

As well as countless of others from the AI generator community. Just talking about how "inaccessible art" is, I decided why not show how wrong these guys are while also helping anyone who actually wants to learn.

Here is the first one ART TEACHERS! There are plenty online and in places like youtube.

📺Here is my list:

Proko (Free, mostly teaches anatomy and how to draw people. But does have art talks and teaches the basics.)

Marc Brunet (Free but he does have other classes for a cheap price. Use to work for Blizzard and teaches you everything)

Aaron Rutten (free, tips about art, talks about art programs and the best products for digital art)

BoroCG (free, teaches a verity of art mediums from 3D modeling to digital painting. As well as some tips that can be used across styles)

Jesse J. Jones (free, talks about animating)

Jesus Conde (free, teaches digital painting and has classes in Spanish)

Mohammed Agbadi (free, he gives some advice in some videos and talks about art)

Ross Draws (free, he does have other classes for a good price. Mostly teaching character designs and simple backgrounds.)

SamDoesArts (free, gives good advice and critiques)

Drawfee Show (free, they do give some good advice and great inspiration)

The Art of Aaron Blaise ( useful tips for digital art and animation. Was an animator for Disney. Mostly nature art)

Bobby Chiu ( useful tips and interviews with artist who are in the industry or making a living as artist)

Sinix Design (has some tips on drawing people)

Winged canvas (art school for free on a verity of mediums)

Bob Ross (just a good time, learn how to paint, as well as how too relax when doing art. "there are no mistakes only happy accidents", this channel also provides tips from another artist)

Scott Christian Sava (Inspiration and provides tips and advice)

Pikat (art advice and critiques)

Drawbox (a suggested cheap online art school, made of a community of artist)

Skillshare (A cheap learning site that has art classes ranging from traditional to digital. As well as Animation and tutorials on art programs. All under one price, in the USA it's around $34 a month)

Human anatomy for artist (not a video or teacher but the site is full of awesome refs to practice and get better at anatomy)

Second part BOOKS, I have collected some books that have helped me and might help others.

📚Here is my list:

The "how to draw manga" series produced by Graphic-sha. These are for manga artist but they give great advice and information.

"Creating characters with personality" by Tom Bancroft. A great book that can help not just people who draw cartoons but also realistic ones. As it helps you with facial ques and how to make a character interesting.

"Albinus on anatomy" by Robert Beverly Hale and Terence Coyle. Great book to help someone learn basic anatomy.

"Artistic Anatomy" by Dr. Paul Richer and Robert Beverly Hale. A good book if you want to go further in-depth with anatomy.

"Directing the story" by Francis Glebas. A good book if you want to Story board or make comics.

"Animal Anatomy for Artists" by Eliot Goldfinger. A good book for if you want to draw animals or creatures.

"Constructive Anatomy: with almost 500 illustrations" by George B. Bridgman. A great book to help you block out shadows in your figures and see them in a more 3 diamantine way.

"Dynamic Anatomy: Revised and expand" by Burne Hogarth. A book that shows how to block out shapes and easily understand what you are looking out. When it comes to human subjects.

"An Atlas of animal anatomy for artist" by W. Ellenberger and H. Dittrich and H. Baum. This is another good one for people who want to draw animals or creatures.

Etherington Brothers, they make books and have a free blog with art tips.

📝As for Supplies, I recommend starting out cheap, buying Pencils and art paper at dollar tree or 5 below. If you want to go fancy Michaels is always a good place for traditional supplies. They also get in some good sales and discounts. For digital art, I recommend not starting with a screen art drawing tablet as they are usually more expensive.

For the Best art Tablet I recommend either Xp-pen, Bamboo or Huion. Some can range from about 40$ to the thousands.

💻As for art programs here is a list of Free to pay.

Clip Studio paint ( you can choose to pay once or sub and get updates. Galaxy, Windows, macOS, iPad, iPhone, Android, or Chromebook device. )

Procreate ( pay once for $9.99 usd, IPAD & IPHONE ONLY)

Blender (for 3D modules/sculpting, animation and more. Free)

PaintTool SAI (pay but has a 31 day free trail)

Krita (Free)

mypaint (free)

FireAlpaca (free)

Aseprite ($19.99 usd but has a free trail, for pixel art Windows & macOS)

Drawpile (free and for if you want to draw with others)

IbisPaint (free, phone app ONLY)

Medibang (free, IPAD, Android and PC)

NOTE: Some of these can work on almost any computer like Clip and Sai but others will require a bit stronger computer like Blender. Please check their sites for if your computer is compatible.

So do with this information as you will but as you can tell there are ways to learn how to become an artist, without breaking the bank. The only thing that might be stopping YOU from using any of these things, is YOU.

I have made time to learn to draw and many artist have too. Either in-between working two jobs or taking care of your family and a job or regular school and chores. YOU just have to take the time or use some time management, it really doesn't take long to practice for like an hour or less. YOU also don't have to do it every day, just once or three times a week is fine.

Hope this was helpful and have a great day.

"also apologies for any spelling or grammar errors, I have Dyslexia and it makes my brain go XP when it comes to speech or writing"

[phantomrose96]

If anyone wants to know why every tech company in the world right now is clamoring for AI like drowned rats scrabbling to board a ship, I decided to make a post to explain what's happening.

(Disclaimer to start: I'm a software engineer who's been employed full time since 2018. I am not a historian nor an overconfident Youtube essayist, so this post is my working knowledge of what I see around me and the logical bridges between pieces.)

Okay anyway. The explanation starts further back than what's going on now. I'm gonna start with the year 2000. The Dot Com Bubble just spectacularly burst. The model of "we get the users first, we learn how to profit off them later" went out in a no-money-having bang (remember this, it will be relevant later). A lot of money was lost. A lot of people ended up out of a job. A lot of startup companies went under. Investors left with a sour taste in their mouth and, in general, investment in the internet stayed pretty cooled for that decade. This was, in my opinion, very good for the internet as it was an era not suffocating under the grip of mega-corporation oligarchs and was, instead, filled with Club Penguin and I Can Haz Cheezburger websites.

Then around the 2010-2012 years, a few things happened. Interest rates got low, and then lower. Facebook got huge. The iPhone took off. And suddenly there was a huge new potential market of internet users and phone-havers, and the cheap money was available to start backing new tech startup companies trying to hop on this opportunity. Companies like Uber, Netflix, and Amazon either started in this time, or hit their ramp-up in these years by shifting focus to the internet and apps.

Now, every start-up tech company dreaming of being the next big thing has one thing in common: they need to start off by getting themselves massively in debt. Because before you can turn a profit you need to first spend money on employees and spend money on equipment and spend money on data centers and spend money on advertising and spend money on scale and and and

But also, everyone wants to be on the ship for The Next Big Thing that takes off to the moon.

So there is a mutual interest between new tech companies, and venture capitalists who are willing to invest $$$ into said new tech companies. Because if the venture capitalists can identify a prize pig and get in early, that money could come back to them 100-fold or 1,000-fold. In fact it hardly matters if they invest in 10 or 20 total bust projects along the way to find that unicorn.

But also, becoming profitable takes time. And that might mean being in debt for a long long time before that rocket ship takes off to make everyone onboard a gazzilionaire.

But luckily, for tech startup bros and venture capitalists, being in debt in the 2010's was cheap, and it only got cheaper between 2010 and 2020. If people could secure loans for ~3% or 4% annual interest, well then a $100,000 loan only really costs $3,000 of interest a year to keep afloat. And if inflation is higher than that or at least similar, you're still beating the system.

So from 2010 through early 2022, times were good for tech companies. Startups could take off with massive growth, showing massive potential for something, and venture capitalists would throw infinite money at them in the hopes of pegging just one winner who will take off. And supporting the struggling investments or the long-haulers remained pretty cheap to keep funding.

You hear constantly about "Such and such app has 10-bazillion users gained over the last 10 years and has never once been profitable", yet the thing keeps chugging along because the investors backing it aren't stressed about the immediate future, and are still banking on that "eventually" when it learns how to really monetize its users and turn that profit.

The pandemic in 2020 took a magnifying-glass-in-the-sun effect to this, as EVERYTHING was forcibly turned online which pumped a ton of money and workers into tech investment. Simultaneously, money got really REALLY cheap, bottoming out with historic lows for interest rates.

Then the tide changed with the massive inflation that struck late 2021. Because this all-gas no-brakes state of things was also contributing to off-the-rails inflation (along with your standard-fare greedflation and price gouging, given the extremely convenient excuses of pandemic hardships and supply chain issues). The federal reserve whipped out interest rate hikes to try to curb this huge inflation, which is like a fire extinguisher dousing and suffocating your really-cool, actively-on-fire party where everyone else is burning but you're in the pool. And then they did this more, and then more. And the financial climate followed suit. And suddenly money was not cheap anymore, and new loans became expensive, because loans that used to compound at 2% a year are now compounding at 7 or 8% which, in the language of compounding, is a HUGE difference. A $100,000 loan at a 2% interest rate, if not repaid a single cent in 10 years, accrues to $121,899. A $100,000 loan at an 8% interest rate, if not repaid a single cent in 10 years, more than doubles to $215,892.

Now it is scary and risky to throw money at "could eventually be profitable" tech companies. Now investors are watching companies burn through their current funding and, when the companies come back asking for more, investors are tightening their coin purses instead. The bill is coming due. The free money is drying up and companies are under compounding pressure to produce a profit for their waiting investors who are now done waiting.

You get enshittification. You get quality going down and price going up. You get "now that you're a captive audience here, we're forcing ads or we're forcing subscriptions on you." Don't get me wrong, the plan was ALWAYS to monetize the users. It's just that it's come earlier than expected, with way more feet-to-the-fire than these companies were expecting. ESPECIALLY with Wall Street as the other factor in funding (public) companies, where Wall Street exhibits roughly the same temperament as a baby screaming crying upset that it's soiled its own diaper (maybe that's too mean a comparison to babies), and now companies are being put through the wringer for anything LESS than infinite growth that Wall Street demands of them.

Internal to the tech industry, you get MASSIVE wide-spread layoffs. You get an industry that used to be easy to land multiple job offers shriveling up and leaving recent graduates in a desperately awful situation where no company is hiring and the market is flooded with laid-off workers trying to get back on their feet.

Because those coin-purse-clutching investors DO love virtue-signaling efforts from companies that say "See! We're not being frivolous with your money! We only spend on the essentials." And this is true even for MASSIVE, PROFITABLE companies, because those companies' value is based on the Rich Person Feeling Graph (their stock) rather than the literal profit money. A company making a genuine gazillion dollars a year still tears through layoffs and freezes hiring and removes the free batteries from the printer room (totally not speaking from experience, surely) because the investors LOVE when you cut costs and take away employee perks. The "beer on tap, ping pong table in the common area" era of tech is drying up. And we're still unionless.

Never mind that last part.

And then in early 2023, AI (more specifically, Chat-GPT which is OpenAI's Large Language Model creation) tears its way into the tech scene with a meteor's amount of momentum. Here's Microsoft's prize pig, which it invested heavily in and is galivanting around the pig-show with, to the desperate jealousy and rapture of every other tech company and investor wishing it had that pig. And for the first time since the interest rate hikes, investors have dollar signs in their eyes, both venture capital and Wall Street alike. They're willing to restart the hose of money (even with the new risk) because this feels big enough for them to take the risk.

Now all these companies, who were in varying stages of sweating as their bill came due, or wringing their hands as their stock prices tanked, see a single glorious gold-plated rocket up out of here, the likes of which haven't been seen since the free money days. It's their ticket to buy time, and buy investors, and say "see THIS is what will wring money forth, finally, we promise, just let us show you."

To be clear, AI is NOT profitable yet. It's a money-sink. Perhaps a money-black-hole. But everyone in the space is so wowed by it that there is a wide-spread and powerful conviction that it will become profitable and earn its keep. (Let's be real, half of that profit "potential" is the promise of automating away jobs of pesky employees who peskily cost money.) It's a tech-space industrial revolution that will automate away skilled jobs, and getting in on the ground floor is the absolute best thing you can do to get your pie slice's worth.

It's the thing that will win investors back. It's the thing that will get the investment money coming in again (or, get it second-hand if the company can be the PROVIDER of something needed for AI, which other companies with venture-back will pay handsomely for). It's the thing companies are terrified of missing out on, lest it leave them utterly irrelevant in a future where not having AI-integration is like not having a mobile phone app for your company or not having a website.

So I guess to reiterate on my earlier point:

Drowned rats. Swimming to the one ship in sight.