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river-taxbird · 7 months

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There is no such thing as AI.

How to help the non technical and less online people in your life navigate the latest techbro grift.

I've seen other people say stuff to this effect but it's worth reiterating. Today in class, my professor was talking about a news article where a celebrity's likeness was used in an ai image without their permission. Then she mentioned a guest lecture about how AI is going to help finance professionals. Then I pointed out, those two things aren't really related.

The term AI is being used to obfuscate details about multiple semi-related technologies.

Traditionally in sci-fi, AI means artificial general intelligence like Data from star trek, or the terminator. This, I shouldn't need to say, doesn't exist. Techbros use the term AI to trick investors into funding their projects. It's largely a grift.

What is the term AI being used to obfuscate?

If you want to help the less online and less tech literate people in your life navigate the hype around AI, the best way to do it is to encourage them to change their language around AI topics.

By calling these technologies what they really are, and encouraging the people around us to know the real names, we can help lift the veil, kill the hype, and keep people safe from scams. Here are some starting points, which I am just pulling from Wikipedia. I'd highly encourage you to do your own research.

Machine learning (ML): is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines "discover" their "own" algorithms, without needing to be explicitly told what to do by any human-developed algorithms. (This is the basis of most technologically people call AI)

Language model: (LM or LLM) is a probabilistic model of a natural language that can generate probabilities of a series of words, based on text corpora in one or multiple languages it was trained on. (This would be your ChatGPT.)

Generative adversarial network (GAN): is a class of machine learning framework and a prominent framework for approaching generative AI. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. (This is the source of some AI images and deepfakes.)

Diffusion Models: Models that generate the probability distribution of a given dataset. In image generation, a neural network is trained to denoise images with added gaussian noise by learning to remove the noise. After the training is complete, it can then be used for image generation by starting with a random noise image and denoise that. (This is the more common technology behind AI images, including Dall-E and Stable Diffusion. I added this one to the post after as it was brought to my attention it is now more common than GANs.)

I know these terms are more technical, but they are also more accurate, and they can easily be explained in a way non-technical people can understand. The grifters are using language to give this technology its power, so we can use language to take it's power away and let people see it for what it really is.

#ai #scams #language #semiotics #machine learning

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mostlysignssomeportents · 4 months

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What kind of bubble is AI?

My latest column for Locus Magazine is "What Kind of Bubble is AI?" All economic bubbles are hugely destructive, but some of them leave behind wreckage that can be salvaged for useful purposes, while others leave nothing behind but ashes:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

Think about some 21st century bubbles. The dotcom bubble was a terrible tragedy, one that drained the coffers of pension funds and other institutional investors and wiped out retail investors who were gulled by Superbowl Ads. But there was a lot left behind after the dotcoms were wiped out: cheap servers, office furniture and space, but far more importantly, a generation of young people who'd been trained as web makers, leaving nontechnical degree programs to learn HTML, perl and python. This created a whole cohort of technologists from non-technical backgrounds, a first in technological history. Many of these people became the vanguard of a more inclusive and humane tech development movement, and they were able to make interesting and useful services and products in an environment where raw materials – compute, bandwidth, space and talent – were available at firesale prices.

Contrast this with the crypto bubble. It, too, destroyed the fortunes of institutional and individual investors through fraud and Superbowl Ads. It, too, lured in nontechnical people to learn esoteric disciplines at investor expense. But apart from a smattering of Rust programmers, the main residue of crypto is bad digital art and worse Austrian economics.

Or think of Worldcom vs Enron. Both bubbles were built on pure fraud, but Enron's fraud left nothing behind but a string of suspicious deaths. By contrast, Worldcom's fraud was a Big Store con that required laying a ton of fiber that is still in the ground to this day, and is being bought and used at pennies on the dollar.

AI is definitely a bubble. As I write in the column, if you fly into SFO and rent a car and drive north to San Francisco or south to Silicon Valley, every single billboard is advertising an "AI" startup, many of which are not even using anything that can be remotely characterized as AI. That's amazing, considering what a meaningless buzzword AI already is.

So which kind of bubble is AI? When it pops, will something useful be left behind, or will it go away altogether? To be sure, there's a legion of technologists who are learning Tensorflow and Pytorch. These nominally open source tools are bound, respectively, to Google and Facebook's AI environments:

https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means

But if those environments go away, those programming skills become a lot less useful. Live, large-scale Big Tech AI projects are shockingly expensive to run. Some of their costs are fixed – collecting, labeling and processing training data – but the running costs for each query are prodigious. There's a massive primary energy bill for the servers, a nearly as large energy bill for the chillers, and a titanic wage bill for the specialized technical staff involved.

Once investor subsidies dry up, will the real-world, non-hyperbolic applications for AI be enough to cover these running costs? AI applications can be plotted on a 2X2 grid whose axes are "value" (how much customers will pay for them) and "risk tolerance" (how perfect the product needs to be).

Charging teenaged D&D players $10 month for an image generator that creates epic illustrations of their characters fighting monsters is low value and very risk tolerant (teenagers aren't overly worried about six-fingered swordspeople with three pupils in each eye). Charging scammy spamfarms $500/month for a text generator that spits out dull, search-algorithm-pleasing narratives to appear over recipes is likewise low-value and highly risk tolerant (your customer doesn't care if the text is nonsense). Charging visually impaired people $100 month for an app that plays a text-to-speech description of anything they point their cameras at is low-value and moderately risk tolerant ("that's your blue shirt" when it's green is not a big deal, while "the street is safe to cross" when it's not is a much bigger one).

Morganstanley doesn't talk about the trillions the AI industry will be worth some day because of these applications. These are just spinoffs from the main event, a collection of extremely high-value applications. Think of self-driving cars or radiology bots that analyze chest x-rays and characterize masses as cancerous or noncancerous.

These are high value – but only if they are also risk-tolerant. The pitch for self-driving cars is "fire most drivers and replace them with 'humans in the loop' who intervene at critical junctures." That's the risk-tolerant version of self-driving cars, and it's a failure. More than $100b has been incinerated chasing self-driving cars, and cars are nowhere near driving themselves:

https://pluralistic.net/2022/10/09/herbies-revenge/#100-billion-here-100-billion-there-pretty-soon-youre-talking-real-money

Quite the reverse, in fact. Cruise was just forced to quit the field after one of their cars maimed a woman – a pedestrian who had not opted into being part of a high-risk AI experiment – and dragged her body 20 feet through the streets of San Francisco. Afterwards, it emerged that Cruise had replaced the single low-waged driver who would normally be paid to operate a taxi with 1.5 high-waged skilled technicians who remotely oversaw each of its vehicles:

https://www.nytimes.com/2023/11/03/technology/cruise-general-motors-self-driving-cars.html

The self-driving pitch isn't that your car will correct your own human errors (like an alarm that sounds when you activate your turn signal while someone is in your blind-spot). Self-driving isn't about using automation to augment human skill – it's about replacing humans. There's no business case for spending hundreds of billions on better safety systems for cars (there's a human case for it, though!). The only way the price-tag justifies itself is if paid drivers can be fired and replaced with software that costs less than their wages.

What about radiologists? Radiologists certainly make mistakes from time to time, and if there's a computer vision system that makes different mistakes than the sort that humans make, they could be a cheap way of generating second opinions that trigger re-examination by a human radiologist. But no AI investor thinks their return will come from selling hospitals that reduce the number of X-rays each radiologist processes every day, as a second-opinion-generating system would. Rather, the value of AI radiologists comes from firing most of your human radiologists and replacing them with software whose judgments are cursorily double-checked by a human whose "automation blindness" will turn them into an OK-button-mashing automaton:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

The profit-generating pitch for high-value AI applications lies in creating "reverse centaurs": humans who serve as appendages for automation that operates at a speed and scale that is unrelated to the capacity or needs of the worker:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

But unless these high-value applications are intrinsically risk-tolerant, they are poor candidates for automation. Cruise was able to nonconsensually enlist the population of San Francisco in an experimental murderbot development program thanks to the vast sums of money sloshing around the industry. Some of this money funds the inevitabilist narrative that self-driving cars are coming, it's only a matter of when, not if, and so SF had better get in the autonomous vehicle or get run over by the forces of history.

Once the bubble pops (all bubbles pop), AI applications will have to rise or fall on their actual merits, not their promise. The odds are stacked against the long-term survival of high-value, risk-intolerant AI applications.

The problem for AI is that while there are a lot of risk-tolerant applications, they're almost all low-value; while nearly all the high-value applications are risk-intolerant. Once AI has to be profitable – once investors withdraw their subsidies from money-losing ventures – the risk-tolerant applications need to be sufficient to run those tremendously expensive servers in those brutally expensive data-centers tended by exceptionally expensive technical workers.

If they aren't, then the business case for running those servers goes away, and so do the servers – and so do all those risk-tolerant, low-value applications. It doesn't matter if helping blind people make sense of their surroundings is socially beneficial. It doesn't matter if teenaged gamers love their epic character art. It doesn't even matter how horny scammers are for generating AI nonsense SEO websites:

https://twitter.com/jakezward/status/1728032634037567509

These applications are all riding on the coattails of the big AI models that are being built and operated at a loss in order to be profitable. If they remain unprofitable long enough, the private sector will no longer pay to operate them.

Now, there are smaller models, models that stand alone and run on commodity hardware. These would persist even after the AI bubble bursts, because most of their costs are setup costs that have already been borne by the well-funded companies who created them. These models are limited, of course, though the communities that have formed around them have pushed those limits in surprising ways, far beyond their original manufacturers' beliefs about their capacity. These communities will continue to push those limits for as long as they find the models useful.

These standalone, "toy" models are derived from the big models, though. When the AI bubble bursts and the private sector no longer subsidizes mass-scale model creation, it will cease to spin out more sophisticated models that run on commodity hardware (it's possible that Federated learning and other techniques for spreading out the work of making large-scale models will fill the gap).

So what kind of bubble is the AI bubble? What will we salvage from its wreckage? Perhaps the communities who've invested in becoming experts in Pytorch and Tensorflow will wrestle them away from their corporate masters and make them generally useful. Certainly, a lot of people will have gained skills in applying statistical techniques.

But there will also be a lot of unsalvageable wreckage. As big AI models get integrated into the processes of the productive economy, AI becomes a source of systemic risk. The only thing worse than having an automated process that is rendered dangerous or erratic based on AI integration is to have that process fail entirely because the AI suddenly disappeared, a collapse that is too precipitous for former AI customers to engineer a soft landing for their systems.

This is a blind spot in our policymakers debates about AI. The smart policymakers are asking questions about fairness, algorithmic bias, and fraud. The foolish policymakers are ensnared in fantasies about "AI safety," AKA "Will the chatbot become a superintelligence that turns the whole human race into paperclips?"

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

But no one is asking, "What will we do if" – when – "the AI bubble pops and most of this stuff disappears overnight?"

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/12/19/bubblenomics/#pop

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

tom_bullock (modified) https://www.flickr.com/photos/tombullock/25173469495/

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/

#pluralistic #ai #economics #business #hype #bubbles #bubblenomics #residue

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neverendingford · 1 year

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#as much as I hate how Instagram is trying to push me content. it's interesting to play with the algorithm #it's so transparent as to what it bases its suggestions off of. kinda fun to try and fine tune it.#it feels like back when I'd mess with replika and try and foster a certain personality trait or response and train out others #if you can recognize the algorithm then you can stop getting fed mindlessly and instead use it to show you the content you want #that's the thing about algorithms. they're tools. weapons if used that way. but a tool for a purpose #so if they give you the tools to adjust the algorithm. then you can turn it to your own purposes #my biggest complaint is when they don't give you enough tools to manipulate your own algorithm #the moment you don't have the tools to adjust your own experience is the moment they start forcing content instead of letting you choose #I especially hate when it starts choosing to push content based on things I can't control #I don't care if my friend likes baby videos I don't want to see children in videos take that shit away #the amount of mommy baby videos I've had to repeatedly tell it to never show me again is awful.#I feel like I stumbled into the cult of motherhood or something #I do have the chance to hunt up more good black artists which is super cool. there's not that big of a pool here #so it's harder to find my preferences since yaknow.. limited sample size #tag talk

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mageiab · 1 year

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honestly full respect to tiktok/instagram artists but i could never in my LIFE do the cute little process video thing. making my process look pretty and advertisable would ruin the point for me, aside from being near impossible because i'd have to 1. remember to film any of it and 2. constantly interrupt my flow to film. you get a finished drawing and that's it!! that's all you need from me

#i don't like how this sort of trend makes the art process look so.#artificial?#quick easy and cheap?#advertisable?#i dunno.#and again shoutout to you if your process really is that straightforward and pretty to watch #personally i'm a little more insane than that #and i dunnooooooo it kinda disturbs me how even the process of creating art was made into an advertisable thing!!#like the actual art wasn't enough #now every part of the process has to be presentable and pretty #and i use the word advertisable a lot here bc to me these videos feel like ads #like a weird disingenuous attempt to grab your attention #idk man something about the way the algorithm of these apps has trained artists to present themselves feels so fake!! so so fake #i'm rambling a lot i'm gonna stop now before i hit the tag limit 😗✌🏽

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sant-riley · 1 year

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[Random Task force 141 × gen z! member headcanons]

A/N: Reader goes by the codename Teddy in my writing! Along with she/her pronouns :) I am also extremely biased with Ghost so her main pairing is more towards with him compared to the others <3. I know absolutely nothing about the military so this is not accurate I am so sorry💀.

CWs: Dark Humor, Age gaps, Simping, crude humor, cursing. (not sure what else but lmk!)

Chances are, you're the youngest in the entirety of Task Force 141. Just a good couple of years younger than Gaz.

When Laswell brought her in to meet the group, they couldn't help but stare at her in confusion. A tiny girl who couldn't have been older than any of them. Soap couldn't help but chuckle while Ghost nudged him in the side to shut him up.

"This is your new rookie on the team, her callsign is Teddy. Treat her well."

All the men nodded, watching the younger woman shyly smile and wave towards them.

First they realized that her humor was, in Ghost's words, fucked.

Any minor inconvenience had her saying she wanted to be hit by a car or some type of bodily harm, Price quickly whirling around with eyes widened. "Now, I don't think that warranted that kind of response, don't you think?" "Oh it definitely did, Captain." And she'd walk away without another word.

He swears he gets gray hairs from everytime you make casual talk of you dying. He actively tells the others to check on you bc he genuinely don't know if you're serious or not.

Ghost is not up to date with shit, man uses no social medias oncesoever so everything she spouts is wildly out of pocket. References to basic things like tiktok, Twitter, Instagram? He just silently stares at you like you're on drugs. You can't really use your personal phone on base but you try your best to explain memes to him. He sighs and rubs his forehead with a groan of "I'm too old for this shit, teds." "Oh come on! You have to at LEAST know the meme about the marines eating crayons!" "What the fuck are you on about?

The only ones who know vaguely what the fuck you're on about sometimes are Gaz and Soap, despite them still being a few years older.

Granted, they are not caught up with everything but they actively make it a point on leave to try and be up to date bc of you and your mannerisms. Plus it makes you happy when they fire back a quote they learned.

Can yall imagine Soap on tiktok, what random shit he'd have on his fyp bc he doesn't know how the algorithm works 😭.

Teddy has made every single one of them a personal playlist when she does have her phone, Soap once caught her adding songs and hasn't stopped teasing her since. Price and Ghost pretend not to care and barks at Soap to leave her alone but they're equally curious. Ghost contemplates stealing her phone to see it.

Doesn't matter how serious or dark their job may be, you simp for fictional characters, loudly. Price has learned to tune it out, Ghost although slightly jealous, finds it endearing, Gaz and Soap indulge you and will actively ask about why you like the characters you do and how much you love them bc they like to see you excited. It's a nice feeling when they're always in life or death missions.

You're the smallest one in here okay, everyone can easily throw you without batting an eye so they all take turns training you! They all despite knowing you can take care of yourself, would still like to teach you all they know so should you come against a taller/stronger opponent, you'll be okay.

You are the most protected person in the entire squad, esp when going out for drinks, Ghost will put you in the middle between him and Price and basically make a wall of muscle around you. He says he doesn't care and that he just doesn't want to be pestered by creepy people coming up to you but he will literally stare down any man or woman who even tries. He is the creepy one in everyone else's scenario. Soap just laughs and tosses back his drink.

They all notice your ticks and tells, seeing your leg start to shake when you're anxious, when you start cracking your fingers when you're restless, how you will avoid eye contact at any cost. They start to find ways to soothe you in their own ways. Price will give you a pat on your shoulder, sending you a smile.

Gaz nudges you with his body to take your attention off the situation, or he'll simply start asking you random dumbass questions just to see your face change.

Soap will, if he has gotten permission before, just pick you up and throw you over his shoulder, running around with you while you scream for him to let you go. Is also not against tickling you straight up to get you to smile.

Ghost tried to be as subtle as he can be. If yall are sitting close to each other, he'll make sure some part of his body is gently pressed against yours. Whether it be his foot, thigh, hand, some part of him will ground you. You try and reassure him that you know he doesn't care for personal touch but he just says to shut up.

Meeting Graves was a trip, for everyone involved besides you and Grave. Absolutely having no control over calling him a irl Fix it Felix. You were on Graves shitlist and honestly you wouldn't be surprised he betrayed yall for that one comment bc of how angry it made him.

Constantly being told to be quiet, but you cannot help it and will make little quips over comms. Ghost takes after you and starts to say horrible "dad" jokes that make you choke trying to hold back. Soap hates both of you and calls you unfunny.

They realize you're impulsive, especially when you show the amount of tattoos you have.

"I joined the military to fund my tattoo addiction." "You know what? That's not even a surprise."

Going home on leave is always a bitter experience, you never look excited to go home. So one of the guys (usually ghost) will offer you to come with them. It helps 3/4 all live somewhere in England so it's easy to see them/ take trips to their place.

They're all attached despite knowing better. They can't help it and they know they care for you so much more than other force members.

Ghost and Soap bristle when Alejandro makes a mention that he'd offer you a spot in his team, impressed with how you can take opponents twice your size.

"¿Te interesaría quedarte en México?"

"The Hell she will."

If you'd like to be tagged in future works, please comment under my rules that are pinned to my blog!

#okay this got rambley real quick but hey its my blog i can do what i want #ghost <3 #soap <3 #price <3 #gaz <3 #call of duty #call of duty x reader #cod x reader #gen z!reader #simon ghost riley x reader #soap x reader #simon riley x reader #ghost x reader #john price x reader #headcanon #kayla writes <3 #fem reader

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aiweirdness · 8 months

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AI versus a giraffe with no spots

On July 31, 2023, a giraffe with no spots was born at Brights Zoo in Tennessee.

Image recognition algorithms are trained on a variety of images from around the internet, and/or on a few standard image datasets. But there likely haven't been any spotless giraffes in their training data, since the last one to be born was probably in 1972 in Tokyo. How do they do when faced with photos of the spotless giraffe?

Here's Multi-Modal In-Context Learning:

And InstructBLIP, which was more eloquent but also added lots of spurious detail.

More examples at AiWeirdness.com

Are these crummy image recognition models? Not unusually so. As far as I can tell with a brief poke around, MMICL and InstructBLIP are modern models (as of Aug 2023), fairly high up on the leaderboards of models answering questions about images. Their demonstration pages (and InstructBLIP's paper) are full of examples of the models providing complete and sensible-looking answers about images.

Then why are they so bad at Giraffe With No Spots?

I can think of three main factors here:

AI does best on images it's seen before. We know AI is good at memorizing stuff; it might even be that some of the images in the examples and benchmarks are in the training datasets these algorithms used. Giraffe With No Spots may be especially difficult not only because the giraffe is unusual, but because it's new to the internet.

AI tends to sand away the unusual. It's trained to answer with the most likely answer to your question, which is not necessarily the most correct answer.

The papers and demonstration sites are showcasing their best work. Whereas I am zeroing in on their worst work, because it's entertaining and because it's a cautionary tale about putting too much faith in AI image recognition.

#neural networks #image recognition #giraffes #instructBLIP #MMICL #giraffe with no spots #i really do wonder if all the hero demo images from the papers were in the training data

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aos-presents · 8 months

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View this post on Instagram

A post shared by Money | Business | Inspiration | AI (@savetoinvest)

instagram

You want to change your life? Change the pages you follow on social. Curate your social news feed or timeline to reflect the people, places and things that resonate with your higher self. Elevate your auto suggestions...

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emeryleewho · 2 months

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If you're worried about the enshittification of the internet completely killing your access to work by your favorite creatives (I've already seen a lot of artists I love state they'll be leaving Tumblr thanks to all the AI training), I want to introduce you to a handful of ways to circumvent the social media hellscape to stay connected to your favorite creators.

RSS Feeds

I'd argue that this is the best option. It essentially allows you to create your own social media "dashboard" by saving websites and getting updates when they post new content. Most websites already have these, and if social media goes down (or just continues to degrade), the best way you can access your favorite creators will be with direct connection to their personal websites. I'm still learning how to use these, but if you want to learn more, this article does a great job.

2. Newsletters

I know newsletters are a pain and it's annoying to have your inbox cluttered, but if there are creators you know you'd be remiss to lose access to, I recommend subscribing to their newsletters. I'd honestly skip the ones that share frequent content you don't need, but for example, my newsletter is updates only so I only send it out maybe every few months when something big happens. It's an easy way to stay up to date on info that social media buries. Of course, if your faves are writing up blog posts & insights that you want to read in newsletter form, consider subscribing to those as well, and don't feel like you have to subscribe to *every* newsletter to make it worthwhile. You just want to make sure you can still be reached by the creators whose work you really don't want to miss.

3. Ko-Fi/Patreon

I don't think a lot of people realize you can follow people on these platforms for free, but because they have paid options, they offer more direct access than social media sites whose algorithms will just erase people you love from your feed altogether. This one isn't the best alternate since a lot of content may be behind a paywall, but if you just want an easy way to be sure you'll still have access to updates from people you want to support, this is a usable way to compile creators in one place and most creators will post updates for free so you should still get those.

So yeah, these are my suggestions. If you're just on social media casually and you just like the easy access to content but don't particularly care about individual creators or specific projects or anything like that then you probably don't need any of this and that's fine. If social media is continuing to work for you then feel free to continue enjoying it without worrying about alternatives. I just want people to have a fail safe if you, like me, are realizing that this shit is getting completely out of hand and everything you once wanted social media for is quickly becoming inaccessible.

Anyway, I highly recommend tuning in to people's personal websites, but I doubt most people have the energy to check each individual website so RSS Feeds are great alternative. Whatever you choose to do, just try to diversify enough that no one company can completely kill your access to your faves on a whim and remember that the closer to direct communication you can get to with creatives the better.

#PSA #internet stuff #idk how to hashtag this but spread it around if you see it lol

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lazypanartist · 11 months

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Hobie Brown x Artistic/DIY Reader

Y'all are already EATING TF out of part one. Anyways. Here more of him ❤️💙

Pt 1 - Pt 2 - Pt 3 - Pt 4

Warnings: maybe spoilers for ATSV, IDK. Reader's in the punk scene and from Hobie's universe. Whole lotta projection. Canon-typical injuries

Features personal Hobie HCs I guess. It's just self indulgent (and for the rest of y'all too I guess)

Please RB, likes alone don't do anything for the algorithm!

-----

You don't even need to turn around to know he's there. The smallest footsteps led from your window, a tiny breeze brushing the side of your face.

"Spidey."

You finally glance up when he huffs, sketchbook forgotten as you catch sight of a new gash along his chest.

He waves off your attempt to look at the area.

"'S fine, luv. Just a scratch."

"Just a - for the love of - ugh!"

You drag him onto the couch as you brush past, a quiet laugh meeting your ears as you rummage through the medicine cabinet around the corner.

"It's really not that 'orrible!"

Even with his protesting, he shrugs his jacket off with a wince, pulling the top of his suit up so you can access the newest wound on his torso.

He can vaguely hear you scolding him, telling him that the city needs him to be less wreck less, but he has one little, uninterrupted train of thought:

This is NOT how he wanted this to go.

The original plan was simple: show if like he'd done a time or twenty, tell you that he trusts you enough for something, then wham! Mask off!

But no. Here he was, shirtless on your couch, shaking in an attempt to stay still for your caring hands to work on him.

Still..

It had to be salvageable.

"-and without you, Osborne would've gotten his filthy grip into our movement, but NO, you were there to stop him -"

"How long are you planning to repeat yourself?"

You sighed, and he winced internally.

Okay. So not like that.

"I'm just worried about you, y'know?"

He nodded gently. "I can tell. Pretty obvious, actually."

You rolled your eyes, going back to work. "Yeah, well. You're our city's hero. Cheesy, yeah, but it's true."

He sucked in a quiet breath. "Yeah? If I'm the city's hero, then you're mine."

You look up at him, speechless. And he grins, hand coming to the bottom of his mask.

Plan - back on track.

"Cheesy, yeah. But it's true."

You're still staring, more in awe now, as he removes his spiked mask. He watches your eyes flicker from his coils to his multiple piercings, lingering momentarily on his lip before meeting his eyes. He's still grinning cheekily as he leans forward, stifling a groan as his newly tended wound shifts.

"Wow.."

He barely hears the word, instead feeling it roll across his chin from where you're kneeling in front of him on the couch, and his smile widens.

"That's what I thought when I saw you."

And he knows you were already hooked - everyone is, he's heard - but now you're just staring, taking him in, and he feels.. loved.

It's odd, after everything he's been through. But he can't help but revel in it, hand coming forward to cradle your cheek.

"Are we.. wow."

He leans forward further, straining against his gash, but sighs when you push him back upright before sitting next to him on the couch.

"Don't strain that."

It's crosser than he expected, but he can't help but chuckle. "Whatever you say."

"Doctors orders."

You lean forward, barely, and he follows suit. The new angle is more comfortable anyways.

"I don't like taking orders."

You know.

"What about.. significant other's suggestion?"

He leans forward further, hand coming back up to hold you.

"I could do that."

-----

Part 3

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mostlysignssomeportents · 5 months

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Privacy first

The internet is embroiled in a vicious polycrisis: child safety, surveillance, discrimination, disinformation, polarization, monopoly, journalism collapse – not only have we failed to agree on what to do about these, there's not even a consensus that all of these are problems.

But in a new whitepaper, my EFF colleagues Corynne McSherry, Mario Trujillo, Cindy Cohn and Thorin Klosowski advance an exciting proposal that slices cleanly through this Gordian knot, which they call "Privacy First":

https://www.eff.org/wp/privacy-first-better-way-address-online-harms

Here's the "Privacy First" pitch: whatever is going on with all of the problems of the internet, all of these problems are made worse by commercial surveillance.

Worried your kid is being made miserable through targeted ads? No surveillance, no targeting.

Worried your uncle was turned into a Qanon by targeted disinformation? No surveillance, no targeting. Worried that racialized people are being targeted for discriminatory hiring or lending by algorithms? No surveillance, no targeting.

Worried that nation-state actors are exploiting surveillance data to attack elections, politicians, or civil servants? No surveillance, no surveillance data.

Worried that AI is being trained on your personal data? No surveillance, no training data.

Worried that the news is being killed by monopolists who exploit the advantage conferred by surveillance ads to cream 51% off every ad-dollar? No surveillance, no surveillance ads.

Worried that social media giants maintain their monopolies by filling up commercial moats with surveillance data? No surveillance, no surveillance moat.

The fact that commercial surveillance hurts so many groups of people in so many ways is terrible, of course, but it's also an amazing opportunity. Thus far, the individual constituencies for, say, saving the news or protecting kids have not been sufficient to change the way these big platforms work. But when you add up all the groups whose most urgent cause would be significantly improved by comprehensive federal privacy law, vigorously enforced, you get an unstoppable coalition.

America is decades behind on privacy. The last really big, broadly applicable privacy law we passed was a law banning video-store clerks from leaking your porn-rental habits to the press (Congress was worried about their own rental histories after a Supreme Court nominee's movie habits were published in the Washington City Paper):

https://en.wikipedia.org/wiki/Video_Privacy_Protection_Act

In the decades since, we've gotten laws that poke around the edges of privacy, like HIPAA (for health) and COPPA (data on under-13s). Both laws are riddled with loopholes and neither is vigorously enforced:

https://pluralistic.net/2023/04/09/how-to-make-a-child-safe-tiktok/

Privacy First starts with the idea of passing a fit-for-purpose, 21st century privacy law with real enforcement teeth (a private right of action, which lets contingency lawyers sue on your behalf for a share of the winnings):

https://www.eff.org/deeplinks/2022/07/americans-deserve-more-current-american-data-privacy-protection-act

Here's what should be in that law:

A ban on surveillance advertising:

https://www.eff.org/deeplinks/2022/03/ban-online-behavioral-advertising

Data minimization: a prohibition on collecting or processing your data beyond what is strictly necessary to deliver the service you're seeking.

Strong opt-in: None of the consent theater click-throughs we suffer through today. If you don't give informed, voluntary, specific opt-in consent, the service can't collect your data. Ignoring a cookie click-through is not consent, so you can just bypass popups and know you won't be spied on.

No preemption. The commercial surveillance industry hates strong state privacy laws like the Illinois biometrics law, and they are hoping that a federal law will pre-empt all those state laws. Federal privacy law should be the floor on privacy nationwide – not the ceiling:

https://www.eff.org/deeplinks/2022/07/federal-preemption-state-privacy-law-hurts-everyone

No arbitration. Your right to sue for violations of your privacy shouldn't be waivable in a clickthrough agreement:

https://www.eff.org/deeplinks/2022/04/stop-forced-arbitration-data-privacy-legislation

No "pay for privacy." Privacy is not a luxury good. Everyone deserves privacy, and the people who can least afford to buy private alternatives are most vulnerable to privacy abuses:

https://www.eff.org/deeplinks/2020/10/why-getting-paid-your-data-bad-deal

No tricks. Getting "consent" with confusing UIs and tiny fine print doesn't count:

https://www.eff.org/deeplinks/2019/02/designing-welcome-mats-invite-user-privacy-0

A Privacy First approach doesn't merely help all the people harmed by surveillance, it also prevents the collateral damage that today's leading proposals create. For example, laws requiring services to force their users to prove their age ("to protect the kids") are a privacy nightmare. They're also unconstitutional and keep getting struck down.

A better way to improve the kid safety of the internet is to ban surveillance. A surveillance ban doesn't have the foreseeable abuses of a law like KOSA (the Kids Online Safety Act), like bans on information about trans healthcare, medication abortions, or banned books:

https://www.eff.org/deeplinks/2023/05/kids-online-safety-act-still-huge-danger-our-rights-online

When it comes to the news, banning surveillance advertising would pave the way for a shift to contextual ads (ads based on what you're looking at, not who you are). That switch would change the balance of power between news organizations and tech platforms – no media company will ever know as much about their readers as Google or Facebook do, but no tech company will ever know as much about a news outlet's content as the publisher does:

https://www.eff.org/deeplinks/2023/05/save-news-we-must-ban-surveillance-advertising

This is a much better approach than the profit-sharing arrangements that are being trialed in Australia, Canada and France (these are sometimes called "News Bargaining Codes" or "Link Taxes"). Funding the news by guaranteeing it a share of Big Tech's profits makes the news into partisans for that profit – not the Big Tech watchdogs we need them to be. When Torstar, Canada's largest news publisher, struck a profit-sharing deal with Google, they killed their longrunning, excellent investigative "Defanging Big Tech" series.

A privacy law would also protect access to healthcare, especially in the post-Roe era, when Big Tech surveillance data is being used to target people who visit abortion clinics or secure medication abortions. It would end the practice of employers forcing workers to wear health-monitoring gadget. This is characterized as a "voluntary" way to get a "discount" on health insurance – but in practice, it's a way of punishing workers who refuse to let their bosses know about their sleep, fertility, and movements.

A privacy law would protect marginalized people from all kinds of digital discrimination, from unfair hiring to unfair lending to unfair renting. The commercial surveillance industry shovels endless quantities of our personal information into the furnaces that fuel these practices. A privacy law shuts off the fuel supply:

https://www.eff.org/deeplinks/2023/04/digital-privacy-legislation-civil-rights-legislation

There are plenty of ways that AI will make our lives worse, but copyright won't fix it. For issues of labor exploitation (especially by creative workers), the answer lies in labor law:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

And for many of AI's other harms, a muscular privacy law would starve AI of some of its most potentially toxic training data:

https://www.businessinsider.com/tech-updated-terms-to-use-customer-data-to-train-ai-2023-9

Meanwhile, if you're worried about foreign governments targeting Americans – officials, military, or just plain folks – a privacy law would cut off one of their most prolific and damaging source of information. All those lawmakers trying to ban Tiktok because it's a surveillance tool? What about banning surveillance, instead?

Monopolies and surveillance go together like peanut butter and chocolate. Some of the biggest tech empires were built on mountains of nonconsensually harvested private data – and they use that data to defend their monopolies. Legal privacy guarantees are a necessary precursor to data portability and interoperability:

https://www.eff.org/wp/interoperability-and-privacy

Once we are guaranteed a right to privacy, lawmakers and regulators can order tech giants to tear down their walled gardens, rather than relying on tech companies to (selectively) defend our privacy:

https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar

The point here isn't that privacy fixes all the internet's woes. The policy is "privacy first," not "just privacy." When it comes to making a new, good internet, there's plenty of room for labor law, civil rights legislation, antitrust, and other legal regimes. But privacy has the biggest constituency, gets us the most bang for the buck, and has the fewest harmful side-effects. It's a policy we can all agree on, even if we don't agree on much else. It's a coalition in potentia that would be unstoppable in reality. Privacy first! Then – everything else!

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

#pluralistic #privacy first #eff #privacy #surveillance #surveillance advertising #cold war 2.0 #tiktok #saving the news from big tech #competition #interoperability #interop #online harms #ai #digital discrimination #discrimination #health care #hippa #medical privacy

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fireflysummers · 4 months

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Heroes, Gods, and the Invisible Narrator

Slay the Princess as a Framework for the Cyclical Reproduction of Colonialist Narratives in Data Science & Technology

An Essay by FireflySummers

All images are captioned.

Content Warnings: Body Horror, Discussion of Racism and Colonialism

Spoilers for Slay the Princess (2023) by @abby-howard and Black Tabby Games.

If you enjoy this article, consider reading my guide to arguing against the use of AI image generators or the academic article it's based on.

Introduction: The Hero and the Princess

You're on a path in the woods, and at the end of that path is a cabin. And in the basement of that cabin is a Princess. You're here to slay her. If you don't, it will be the end of the world.

Slay the Princess is a 2023 indie horror game by Abby Howard and published through Black Tabby Games, with voice talent by Jonathan Sims (yes, that one) and Nichole Goodnight.

The game starts with you dropped without context in the middle of the woods. But that’s alright. The Narrator is here to guide you. You are the hero, you have your weapon, and you have a monster to slay.

From there, it's the player's choice exactly how to proceed--whether that be listening to the voice of the narrator, or attempting to subvert him. You can kill her as instructed, or sit and chat, or even free her from her chains.

It doesn't matter.

Regardless of whether you are successful in your goal, you will inevitably (and often quite violently) die.

And then...

You are once again on a path in the woods.

The cycle repeats itself, the narrator seemingly none the wiser. But the woods are different, and so is the cabin. You're different, and worse... so is she.

Based on your actions in the previous loop, the princess has... changed. Distorted.

Had you attempted a daring rescue, she is now a damsel--sweet and submissive and already fallen in love with you.

Had you previously betrayed her, she has warped into something malicious and sinister, ready to repay your kindness in full.

But once again, it doesn't matter.

Because the no matter what you choose, no matter how the world around you contorts under the weight of repeated loops, it will always be you and the princess.

Why? Because that’s how the story goes.

So says the narrator.

So now that we've got that out of the way, let's talk about data.

Chapter I: Echoes and Shattered Mirrors

The problem with "data" is that we don't really think too much about it anymore. Or, at least, we think about it in the same abstract way we think about "a billion people." It's gotten so big, so seemingly impersonal that it's easy to forget that contemporary concept of "data" in the west is a phenomenon only a couple centuries old [1].

This modern conception of the word describes the ways that we translate the world into words and numbers that can then be categorized and analyzed. As such, data has a lot of practical uses, whether that be putting a rover on mars or tracking the outbreak of a viral contagion. However, this functionality makes it all too easy to overlook the fact that data itself is not neutral. It is gathered by people, sorted into categories designed by people, and interpreted by people. At every step, there are people involved, such that contemporary technology is embedded with systemic injustices, and not always by accident.

The reproduction of systems of oppression are most obvious from the margins. In his 2019 article As If, Ramon Amaro describes the Aspire Mirror (2016): a speculative design project by by Joy Buolamwini that contended with the fact that the standard facial recognition algorithm library had been trained almost exclusively on white faces. The simplest solution was to artificially lighten darker skin-tones for the algorithm to recognize, which Amaro uses to illustrate the way that technology is developed with an assumption of whiteness [2].

This observation applies across other intersections as well, such as trans identity [3], which has been colloquially dubbed "The Misgendering Machine" [4] for its insistence on classifying people into a strict gender binary based only on physical appearance.

This has also popped up in my own research, brought to my attention by the artist @b4kuch1n who has spoken at length with me about the connection between their Vietnamese heritage and the clothing they design in their illustrative work [5]. They call out AI image generators for reinforcing colonialism by stripping art with significant personal and cultural meaning of their context and history, using them to produce a poor facsimile to sell to the highest bidder.

All this describes an iterative cycle which defines normalcy through a white, western lens, with a limited range of acceptable diversity. Within this cycle, AI feeds on data gathered under colonialist ideology, then producing an artifact that reinforces existing systemic bias. When this data is, in turn, once again fed to the machine, that bias becomes all the more severe, and the range of acceptability narrower [2, 6].

Luciana Parisi and Denise Ferreira da Silva touch on a similar point in their article Black Feminist Tools, Critique, and Techno-poethics but on a much broader scale. They call up the Greek myth of Prometheus, who was punished by the gods for his hubris for stealing fire to give to humanity. Parisi and Ferreira da Silva point to how this, and other parts of the “Western Cosmology” map to humanity’s relationship with technology [7].

However, while this story seems to celebrate the technological advancement of humanity, there are darker colonialist undertones. It frames the world in terms of the gods and man, the oppressor and the oppressed; but it provides no other way of being. So instead the story repeats itself, with so-called progress an inextricable part of these two classes of being. This doesn’t bode well for visions of the future, then–because surely, eventually, the oppressed will one day be the machines [7, 8].

It’s… depressing. But it’s only really true, if you assume that that’s the only way the story could go.

“Stories don't care who takes part in them. All that matters is that the story gets told, that the story repeats. Or, if you prefer to think of it like this: stories are a parasitical life form, warping lives in the service only of the story itself.” ― Terry Pratchett, Witches Abroad

Chapter II: The Invisible Narrator

So why does the narrator get to call the shots on how a story might go? Who even are they? What do they want? How much power do they actually have?

With the exception of first person writing, a lot of the time the narrator is invisible. This is different from an unreliable narrator. With an unreliable narrator, at some point the audience becomes aware of their presence in order for the story to function as intended. An invisible narrator is never meant to be seen.

In Slay the Princess, the narrator would very much like to be invisible. Instead, he has been dragged out into the light, because you (and the inner voices you pick up along the way), are starting to argue with him. And he doesn’t like it.

Despite his claims that the princess will lie and cheat in order to escape, as the game progresses it’s clear that the narrator is every bit as manipulative–if not moreso, because he actually knows what’s going on. And, if the player tries to diverge from the path that he’s set before them, the correct path, then it rapidly becomes clear that he, at least to start, has the power to force that correct path.

While this is very much a narrative device, the act of calling attention to the narrator is important beyond that context.

The Hero’s Journey is the true monomyth, something to which all stories can be reduced. It doesn’t matter that the author, Joseph Campbell, was a raging misogynist whose framework flattened cultures and stories to fit a western lens [9, 10]. It was used in Star Wars, so clearly it’s a universal framework.

The metaverse will soon replace the real world and crypto is the future of currency! Never mind that the organizations pushing it are suspiciously pyramid shaped. Get on board or be left behind.

Generative AI is pushed as the next big thing. The harms it inflicts on creatives and the harmful stereotypes it perpetuates are just bugs in the system. Never mind that the evangelists for this technology speak over the concerns of marginalized people [5]. That’s a skill issue, you gotta keep up.

Computers will eventually, likely soon, advance so far as to replace humans altogether. The robot uprising is on the horizon [8].

Who perpetuates these stories? What do they have to gain?

Why is the only story for the future replications of unjust systems of power? Why must the hero always slay the monster?

Because so says the narrator. And so long as they are invisible, it is simple to assume that this is simply the way things are.

Chapter III: The End...?

This is the part where Slay the Princess starts feeling like a stretch, but I’ve already killed the horse so I might as well beat it until the end too.

Because what is the end result here?

According to the game… collapse. A recursive story whose biases narrow the scope of each iteration ultimately collapses in on itself. The princess becomes so sharp that she is nothing but blades to eviscerate you. The princess becomes so perfect a damsel that she is a caricature of the trope. The story whittles itself away to nothing. And then the cycle begins anew.

There’s no climactic final battle with the narrator. He created this box, set things in motion, but he is beyond the player’s reach to confront directly. The only way out is to become aware of the box itself, and the agenda of the narrator. It requires acknowledgement of the artificiality of the roles thrust upon you and the Princess, the false dichotomy of hero or villain.

Slay the Princess doesn’t actually provide an answer to what lies outside of the box, merely acknowledges it as a limit that can be overcome.

With regards to the less fanciful narratives that comprise our day-to-day lives, it’s difficult to see the boxes and dichotomies we’ve been forced into, let alone what might be beyond them. But if the limit placed is that there are no stories that can exist outside of capitalism, outside of colonialism, outside of rigid hierarchies and oppressive structures, then that limit can be broken [12].

Denouement: Doomed by the Narrative

Video games are an interesting artistic medium, due to their inherent interactivity. The commonly accepted mechanics of the medium, such as flavor text that provides in-game information and commentary, are an excellent example of an invisible narrator. Branching dialogue trees and multiple endings can help obscure this further, giving the player a sense of genuine agency… which provides an interesting opportunity to drag an invisible narrator into the light.

There are a number of games that have explored the power differential between the narrator and the player (The Stanley Parable, Little Misfortune, Undertale, Buddy.io, OneShot, etc…)

However, Slay the Princess works well here because it not only emphasizes the artificial limitations that the narrator sets on a story, but the way that these stories recursively loop in on themselves, reinforcing the fears and biases of previous iterations.

Critical data theory probably had nothing to do with the game’s development (Abby Howard if you're reading this, lmk). However, it works as a surprisingly cohesive framework for illustrating the ways that we can become ensnared by a narrative, and the importance of knowing who, exactly, is narrating the story. Although it is difficult or impossible to conceptualize what might exist beyond the artificial limits placed by even a well-intentioned narrator, calling attention to them and the box they’ve constructed is the first step in breaking out of this cycle.

“You can't go around building a better world for people. Only people can build a better world for people. Otherwise it's just a cage.” ― Terry Pratchett, Witches Abroad

Epilogue

If you've read this far, thank you for your time! This was an adaptation of my final presentation for a Critical Data Studies course. Truthfully, this course posed quite a challenge--I found the readings of philosophers such as Kant, Adorno, Foucault, etc... difficult to parse. More contemporary scholars were significantly more accessible. My only hope is that I haven't gravely misinterpreted the scholars and researchers whose work inspired this piece.

I honestly feel like this might have worked best as a video essay, but I don't know how to do those, and don't have the time to learn or the money to outsource.

Slay the Princess is available for purchase now on Steam.

Screencaps from ManBadassHero Let's Plays: [Part 1] [Part 2] [Part 3] [Part 4] [Part 5] [Part 6]

Post Dividers by @cafekitsune

Citations:

Rosenberg, D. (2018). Data as word. Historical Studies in the Natural Sciences, 48(5), 557-567.

Amaro, Ramon. (2019). As If. e-flux Architecture. Becoming Digital. https://www.e-flux.com/architecture/becoming-digital/248073/as-if/

What Ethical AI Really Means by PhilosophyTube

Keyes, O. (2018). The misgendering machines: Trans/HCI implications of automatic gender recognition. Proceedings of the ACM on human-computer interaction, 2(CSCW), 1-22.

Allred, A.M., Aragon, C. (2023). Art in the Machine: Value Misalignment and AI “Art”. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2023. Lecture Notes in Computer Science, vol 14166. Springer, Cham. https://doi.org/10.1007/978-3-031-43815-8_4

Amaro, R. (2019). Artificial Intelligence: warped, colorful forms and their unclear geometries.

Parisisi, L., Ferreira da Silva, D. Black Feminist Tools, Critique, and Techno-poethics. e-flux. Issue #123. https://www.e-flux.com/journal/123/436929/black-feminist-tools-critique-and-techno-poethics/

AI - Our Shiny New Robot King | Sophie from Mars by Sophie From Mars

Joseph Campbell and the Myth of the Monomyth | Part 1 by Maggie Mae Fish

Joseph Campbell and the N@zis | Part 2 by Maggie Mae Fish

How Barbie Cis-ified the Matrix by Jessie Gender

#slay the princess #stp spoilers #stp #stp princess #abby howard #black tabby games #academics #critical data studies #computer science #technology #hci #my academics #my writing #long post

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dreamauri · 10 months

Text

┇𝗗𝗘𝗗𝗜𝗖𝗔𝗧𝗘𝗗 𝗧𝗢 𝗧𝗛𝗘 𝗢𝗡𝗘 𝗜 𝗟𝗢𝗩𝗘 - prologue ┇ ─ ୨୧ ─ ─ ─ ─ ─ ─ :🪴: ─ ─ ─ ─ ─ ─ ୨୧ ─ ┇you're the best, an unbeatable driver fighting for a place on the grid ┇︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶︶꒷꒦˚₊ ┇ . 🌿 :: pairing — ( max verstappen x fem! driver! reader ) ┇ . 🫧 :: ⁠genre — ( angst ) ┇ . 🌿 :: ⁠word count — ( 858 ) ╰ 🫧 :: ⁠ content warning — ( X )

☆★ yayy!! thank you @lorarri for the title <3 i did a little character introduction at the end cause this series is going to have a lot of ocs (not y/n), anyways, enjoyyy ━━

( fic master list | general master list ) ( requests )

2015 — Baku, Azerbaijan

The F1 grid watched intensely. You didn't need to over take, already in P1 with your trophy secured. But you did anyways, passing drivers one by one till you once more made it to the top of the grid. "Phenomenal performance by Seventeen, securing her Win once more."

Daniel Riccardo, Max Verstappen and and Carlos Sainz had stayed over to watch the F2 race, Crossing Paths once more with the all too famous masked driver. Jumping out of your car, you're greeted with your team shouting your number over and over as they hugged and kissed your famous black helmet. "Seventeen? Who names their child a number?" Carlos asked leaning on the edge watching.

"I don't think that's her real name, mate." Daniel commented taking a sip of the redbull can. "It's not, she doesn't use her real name. You can say it's like a . . . What do you call it? For superheroes?"

"Code name?" "Yeah, codename." Max nodded, his eyes trained on you as you did your post race duties and podium celebration. "She's scary." Carlos shivered standing straight ready to leave.

"She's nice." Max mumbled watching as you passed by. He gave you a small wave, you returning it hesitantly. An unconscious smile crept on his face, a little blush dusting his cheeks.

"You like her?" Daniel whispered teasingly, making the teenage boy frown in denial. "She's just a good driver. I- I don't really care." He folded his arms glaring at the older man.

★ ☆ ━━━━━━━━━━━━━━━━━━━━

2016 — Qubec, Canada

"And that is ferrari's reserve driver, and apparent F2 champion, seventeen, defending Vettel from Riccardo." Making the Canadian grand Prix so early into the season was a mistake. It was raining heavily in Montreal, and heavy slush was expected sometime during the race.

You could barely see, relying on instinct only as you took the turns and the curves. Your heartbeat was in your ears and you could feel it in your mouth as you continued to defend your temporary teammate from the red bull driver.

You were forcing the wheel in erratic directions to keep on the racing line, understanding the algorithm of the rain. "Seb i— o—t, se— —s —ut. Floo— it." You heard the choppy voice over the radio, passing by the crashed out Ferrari.

"Fucking hell." You cursed, accelerating as you maneuverer through the rain like a pro. It felt amazing to be in such a fast car, a big step up from the F2 motor. You pushed the DRS button once you got the chance, overtaking the current reigning champion.

"P—, p—. Ke—p g—ing." You continued to push every corner. "P what?" You asked not hearing the message. "P—." "Oh for fucks sake. Radio is shitty." You shouted overtaking the apparent Manor.

★ ☆ ━━━━━━━━━━━━━━━━━━━━

"It's not always so easy to be high up in the standings as a rookie. How do you feel?" "My eyes hurt." You replied blandly to the interviewer, rubbing your eyes tiredly. Your face was covered from the nose down with your hair up in your famous claw clip bun, still wearing the '1st Place' cap for some reason. You were doing your best to keep the photographers from catching major features of your face, needless to say, you were doing a good job.

With Hamilton to your left and Riccardo on your right, you sat in the press conference room bored out of your mind as the interviewers asked you dumb questions. "You guys should go back to school. Maybe you can learn how to ask good questions for best results in writing essays."

"How old are you? Aren't you still in school." Lewis asked, chuckling as he turned to face you. "Graduated early." You shrugged, going back to facing the sea of journalists. "Is there a driver you would like to battle with the most?" "Um . . . Not really. They're either retiered or dead. Maybe . . . maybe Verstappen, Max not Jos. I've raced against him in the karting championships, I'm sure he improved and could put up a better fight now." "Do you think you'll get a full seat next season?"

"That's a difficult question. Not all uh . . . teams have enough trust in female drivers. Hopefully I demonstrated how worthy of a seat I am. I am after all the first and only female to finish on a podium and win a race so . . . we'll see where it goes."

It didn't go. It never was going to.

You were stuck in the factory, working on the car for someone else. And when a seat was finally free in 2018, you watched as they gave it to someone who was not you. You were furious, no other team would take you, a girl. Not even Ferrari wanted you on the track and you were an exeptional driver.

the only thing that kept you grounded was going back home to your family. Your uncle and cousin were your pride and joy, the ones that kept you going. But the question was, what were you going to do now?

— 𝐌𝐀𝐗 (𝐕𝐄𝐑𝐒𝐓𝐀𝐏𝐏𝐄𝐍) | 1 🇳🇱 :: ↳ 1997.09.30 (25) ↳ red bull's golden boy ↳ three time world champion

— ??? (???) | 17 :: ↳ 2000.07.22 (22) ↳ f4 world champion, f3 world champion, f2 world champion ↳ 2016 rookie of the year ↳ youngest f1 race winner

— 𝐊𝐈𝐋𝐋𝐈𝐀𝐍 (𝐊𝐑𝐀𝐔𝐒) | 7 🇩🇪 :: ↳ 1996.06.06 (25) ↳ mercedes second driver ↳ 2016 world champion ↳ youngest world champion

— 𝐌𝐄𝐈𝐊𝐄 (𝐊𝐑𝐀𝐔𝐒) | 25 🇩🇪 :: ↳ 2000.07.22 (22) ↳ mclaren second driver ↳ 2022 rookie of the year

— 𝐋𝐄𝐈𝐋𝐀 (𝐄𝐋 𝐆𝐀𝐌𝐀𝐙𝐈) | 🇪🇬 :: ↳ 2014.05.06 (8) ↳ best cousin in the world

— 𝐌𝐀𝐑𝐀𝐖𝐀𝐍 (𝐄𝐋 𝐆𝐀𝐌𝐀𝐙𝐈) 🇪🇬 :: ↳ 1985.05.05 (38) ↳ #1 uncle

— 𝐋𝐄𝐎𝐍 (𝐊𝐑𝐀𝐔𝐒) | 25 🇩🇪 :: ↳ 1971.01.17 (54) ↳ grumpy old retired driver ↳ 5 time world champion

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stereodaydreams · 10 months

Text

Safe & Sound

Miguel O’Hara x Fem!Reader, 2.3k (18+, smut, oral(f!reciving), pnv sex, established relationships, use of baby/baby girl, no y/n, smidge of angst)

Notes: I write for another fandom in a different blog and couldn’t help but jump on the Miguel train. 💛✨

18+

Nueva York’s metro moves like a metal bullet tearing into a lavender and yellow sunrise. Birds break out into the skies, traveling from one tree to the next. Steam rises from vents as those waking rush to heat their homes, covering the streets and taxis in a man made fog. The thick mist drifts past cafes where open signs have just flipped and welcome bells ring. But high up on the 76th floor of a condominium, two bodies intertwine beneath warm sheets, too far to be awoken by the commotion.

Miguel’s legs drape over the edge of a bed, bare feet caught in strips of golden sunlight. It’s a king sized bed and somehow he manages to spill out of it, especially when he bullies his way over into your side, broad shoulders blotting out the sun and keeping you in the shadows where your sleep remains undisturbed.

There’s a wide gap from where his side of the bed should be. No matter how many times you tease him about a hostile takeover of what little domain you have of the king sized mattress, Miguel finds a way to fit himself around you. Your bare skin is warm and soft against his. You smell like a blend of your body wash, the pile of bed sheets, and a little like him and it drives him fucking wild. He’ll take whatever time he can have pressed up against you because... well.

Being Spider-Man is more demanding than a full time job. Try as hard as he might, there are nights where his superhero duties don’t end in a timely fashion and you sleep alone with a hand on his pillow. He tells you it’s because no one else can do what he does and… well, it’s half of the truth.

“I’m the one and only Spider-Man,” he laments to you. “The city needs me.”

“You have to come back in one piece. Promise?” you ask as worry etches itself on your face and on your body.

Large fingers wrap around your chin and Miguel pulls you in for a chaste but sweet kiss. Brown eyes blink slowly and his cheeks wrinkle in a smile.

“Always,” Miguel answers.

While you know his big superhero secret identity, there’s another secret that’s he’s been keeping from you— a little white lie. Miguel O’Hara is the only Spider-Man of Earth-928 but he’s not the only Spider-Man. He’s seen alternate realities, other universes where he’s an ordinary man working at a lab while a teenager gets bit and becomes Spider-Man or one where he’s a bodybuilder turned movie star. The multiverse is vast and entertaining to pick apart until Miguel gets a peek of realities that make his stomach twist and drop.

The fortunate events which link you two together often leads to roads where one of you is doomed to an early grave. So he decides he doesn’t want to leave your lives up to chance. Everyday, he whittles at his algorithms, tinkers with new wrist tech, all in the hopes of containing the status quo of his reality.

Miguel’s confident. Statistically, there has to be a reality where it all ends well for you both and it very well may be this one.

He watches your chest rise and fall as you doze and slowly moves his arm from your waist to your wrist. His fingers idly trace a band of metal on your ring finger and he smiles to himself, turning his gaze to a matching gold band on his hand.

You’re his, as he is yours and you are here, alive and safe and—

Miguel buries his face into the crook of your neck, breathing you in. Your back tenses as you wake, lungs inflating from a quick and deep inhale. With one eye open, you find the time on a wall clock and wince at the numbers you see.

“Mig…” you protest. It’s early, but not unreasonably so and you wouldn’t mind if it wasn’t your day off together. No superhero business, no work calls, just the two of you and a lazy morning. “Five more minutes. No… wait, half an hour.”

“Baby,” he purrs back in your ear.

You make a noise while burying your face into the pillow, your body twisting away from his grasp. Miguel laughs and exhales a warm breath that tickles the nape of your neck.

“Are you still tired?” he asks, voice low and laced with desire.

You know that tone and if his wandering hands slipping from your waist to your backside are any kind of indicator, Miguel won’t be letting you slumber for much longer. You can’t help it. Your back arches to his touch, lips parting in a half moan.

“Mhmm,” you mumble, your face digging into cotton as you nod. “Can’t wake up m’too sleepy.”

He chuckles, chest vibrating against your back. You’re lucky he finds you cute. Miguel’s palm grips your butt and gives it a small squeeze before the weight behind you dips as he shuffles his large body further down the bed. His hands engulf your thighs, fingers pressing into your skin as he pulls them apart. You’ve no choice but to reorient yourself onto your back, following his movement down your thighs.

“Mig, what are you up to?” You eye him warily with a lazy smile tugging at your lips. Your vision blurs as your eyelids threaten to shut.

He lays a kiss on your inner thigh. Bright red tints the edges of his eyes, threatening to spill over and replace the soft brown.

“Do you need help waking up?” At your nod, he continues, “That’s what I’m up to.”

He smirks, fangs catching the light of the morning sun and it’s gone once his face dips lower. His tongue drags along the seam of your sex, dipping between your folds for a quick taste. Miguel lets out a rumbling sound, pushing his face in deeper to breathe you in. Your fingers work their way into his hair but your grip is loose, a sleepy sort of pawing at his head. Still half awake, your thighs are slack, tensing only as his tongue rises and reaches a hard nub of nerves.

“Mig…” you moan, eyes fluttering shut.

“That’s my baby. Come here.”

A hand wraps around your back and lifts your hips up for him while thick fingers prod at your cunt. Miguel wraps his lips around your clit, licking flat, broad strokes as amber eyes watch you writhe and jolt beneath him.

“You don’t look so sleepy anymore,” he goads. You shake your head and he chuckles. “No?”

“Nuh uh-h. Oh god—”

He eases two fingers in knuckle deep, groaning at how wet they get. Pumping them in slowly, Miguel curls them around sensitive nerves, feeling you clench down on his hand. It’s easy to lose yourself to the feel of your husband’s mouth on you and the stretch of his fingers pounding into you, but you eventually notice something’s off.

You can feel him grinning while he licks and swirls his tongue around your swollen nub, hands beginning to slow to a halt. His fingers pull almost all the way out you, causing your eyes to finally open and a noise of protest leaves your lips.

“Mig—” you begin, swallowing down a hiccupy moan. “Miguel, please.”

Miguel raises an eyebrow at you, shrugs his shoulders like he doesn’t know what he’s doing. Wicked as ever, his tongue moves at unrelenting speeds. Heat flares from your abdomen, thighs twitching out of your control. Between you and him, there’s a damp mess between your legs as Miguel bullies your clit. Your hips try to chase his fingers as they leave you for good, desperate to clench around something, anything. You let out a sob when he stops to press a kiss to your clit.

“Babe!” you cry out, pulling harshly at his hair.

His face rises just enough for you to spot how drenched his chin is. A pink tongue darts around his lips and he smirks.

“You want it, baby girl?” His voice takes on a rougher quality as he challenges you. Large fingers push at your cunt, almost in but not quite. “Work for it.”

Your limbs are still heavy from sleep but the need to feel Miguel makes you roll your hips until you feel yourself push down and squeeze around his fingers. He doesn’t move though, grins wider while he watches you fuck yourself on his hand.

“Isn’t that better?” Miguel asks like he doesn’t know the answer. The hand on your back slips away, flattening onto the bed as he rises above you. You’re too busy trying to follow his other hand to realize he’s right by your head, wide shoulders blotting out the morning sun.

Breath hot and heavy, he snarls in your ear, “Does it feel good when you listen?”

“Mhmm!”

You cling to him, clumsily grabbing his arms as an anchor. Between gasps and moans, his name is a chant on your lips, drawing him closer.

Miguel’s an odd entity. Without the mask, he’s soft with you, cracks smiles throughout the day and fills your ears with loving whispers of devotion. He’s not demanding of you in the way that he is with his team of superheroes at his beck and call. You’ve overheard him being prickly and impatient when things don’t go to his plans, seen him bare his teeth in anger. But never at you.

In here, where the sheets are silken, the atmosphere a little lighter, a little slower… Miguel’s a different man.

“You’re so close… I can feel it,” he growls out. He places a hand on your hip to still your twisting form and it’s infuriating how little effort he uses to hold you like a limp doll. With slick sounds, his fingers slide in and out of you, dragging across taut nerves. “Not yet, baby girl. Not yet.”

“Mig, please. I need you. I need…”

“Hmm?” He lays a kiss on your cheek, lips lifting in a smirk. Miguel wanders down, repeating his hummed reply, kissing your jaw and nipping at your neck. “Say it again.”

You whine and rake your nails across the broad expanse of his shoulders, drawing red lines on sun-kissed skin. “Need you in me, Miguel.”

Your words seep through his skin and into his bones. Every fiber of him aches for you. He’s the king of edging himself, of self control as he fights to ignore the throbbing twitch of his cock. You call to him once more, needy and desperate for him, and Miguel’s done. His hips rut forward, seeking your soaked cunt and he finds it, the fat head of him nudging at your entrance.

He groans out your name, head hung forward and his hands splaying around your face. The sheets strain from his claws retracting and returning and all you see in his eyes are red. Miguel’s shoulders push into the backs of your knees as he hinges forward, forcing your thighs further open for him. There’s mumbled Spanish flowing past his lips as he claims you slowly, your husband taking his sweet time filling you up.

“Fuck, sweet girl. My wife. So fucking tight for me,” he groans.

The pace he sets is fast and devastatingly deep. Miguel reaches spots that makes you incoherent, makes your head toss back as you spew whatever your fucked out mind can give him. It’s messy, rough and he fucks you like you’d never break. And you never do. You always give him what he needs and knowing that brings him to his knees.

Red eyes find you in the waves of passion and Miguel’s looking at you as though this moment is finite. He’s never going to tell you about the other you’s— can’t let you know the statistics which haunt him daily.

Instead, Miguel devours your every moan, lips crushing yours so he can taste you as you tremble. You’re impossibly tight around him, muscles clamping down on him and skin slick with sweat. Your nails mark his back and shoulders, smaller fingers winding into his curls and tugging hard. He can feel you falling off the edge and leans into it, all too happy to chase the end with you.

His hand works its way between you, firm thumb rubbing tight circles around your clit. There’s no reprieve from the cascade of sensations he’s building. Miguel chases your climax until you come around him with a cry of his name.

“Yes, baby girl. Fuck. Fuck,” he moans.

Hips rutting faster, cock pushing you towards hypersensitivity, he wraps an arm around you and pulls you in close. His back muscles seize beneath your hands as he comes with a groan. Miguel’s muttering your name in a breathy chant, hips slowing to a roll as more of his thick spend fills you.

His nose bumps yours, eyes brimming with warmth and fondness. It should feel dirty and hot with how wet it sounds between your legs but you don’t hear it when Miguel murmurs in your ear.

“Still sleepy?” he coos.

You grab at his cheeks and squeeze, receiving an eye roll on his part. He’s handsome but stubborn, your husband.

“Mig…” you laugh. “Can’t feel my bones after that.”

He nuzzles your cheek and hums an acknowledgment. You’re warm, still clinging to him in more than one way. Outside, the sky’s turned blue as the sun finds its way through the windows, shining brightly on your skin. Beads of sweat caught on your neck and chest glitter in the light. He’s never seen anything as beautiful as you.

“Breakfast?” he offers.

“Shower,” you insist and twist your hips to remind him of the stickiness which coats both your bodies.

“Mmm. But I like you like this,” Miguel teases. He rolls his hips, cock still hard and buried deep, eliciting a moan from your lips. “So full of me, baby.”

“I like it, too,” you answer and squeeze his cheek again.

Miguel smiles as if he’s a man unburdened. Here in Spiderman 2099’s universe, you’re safe and sound.

#my fics #astv #miguel o'hara #spider man 2099 #atsv miguel #fem!reader #miguel o'hara smut #miguel o hara smut #miguel o'hara x reader #miguel o hara x reader #miguel x reader #miguel x y/n #miguel x you #spider man 2099 x reader

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