#ic » plaintext ; answered.

[thirt13n]

the lighting in their motel room is passable at best ---------- a scattered few lamps that look better suited for a 1970’s era sitcom than they do a rentable room in the present and a lack of a mirror has lead her to make a beeline for the bathroom upon their return, the door slamming shut behind her in a not - so - subtle suggestion that he should give her a wide berth for a little while. or at least until she’s gotten herself halfway cleaned up and passably presentable.

the combination of those requirements have resulted in her perched on top of the bathroom vanity with her med kit laid out in front of her, and a leg draped across the sink as she leans into the warm white light of three sixty watt bulbs to fully assess the damage done. the cut along her cheek is superficial, at least -------- it’ll make for an easier wound to tend at the end of all this, meaning she can focus both her attention ( and the folded and wetted hand towel she’s wrecking ) on the split above her eyebrow. she had never had the intention on being there on the ground with him; their initial agreement being that she would serve as his sentry while he got in and out, but plans as they so often do, end up changing at the very last minute.

she doesn’t hear the door open; completely missing the click of the lock releasing as it gets drowned out by one of her low and intermittent rounds of ‘fuck’s as fingertips attempt to blot and wipe without making it worse. ( the saline certainly doesn’t feel great, but it’s better than the alternative. ) and when previous attempts to pull her attention fail, @shieldied makes sure his “you better let me help you with that,” comes in crystal - clear between her commentary on her situation, and it’s only then she registers his reflection behind her in the mirror.

“it's okay, i’ve almost got the bleeding to stop,” her mirrored eyes shift in his direction and soften slightly, but nothing else seems to want to move or acquiesce to his suggestion. “and i’ve stitched myself up in smaller places with way shittier lighting.”

#shieldied #ic » plaintext ; answered. #verse » marvel. #arc » re : shieldied. #me??? jumping right into the angst /and/ injured share piles?? #/never/ #they both deflect way too much i want to shake them #blood mention cw #timed drop » queue.

[incinerated]

JUDGEMENT, WRITTEN BY THE GASH.

FREE PALESTINE. AS NDN, WE HAVE WRITTEN THIS IN SOLIDARITY.

PLAINTEXT BELOW.

and Judgment strode forth

his countenance cold, proud, forbidding,

and all the white women and men’s eyes burst forth with tears

seeing her alone, skin rippling bronze

his eyes as flame,

her breath as ice,

his word,

destruction,

as they witnessed again their misdeeds

their eyes bled in terror

the hand of arrogance they all once struck with

now extended, striding forth, crueler than they,

her fist clenched now around the axe with which

they would soon meet the truth

the men, the women fell to their knees. they

begged at his feet

to please

reveal their truth safely to them

Judgment answered the white men and women

with scorn

“you know what you have done,

and you know for why you weep.

you cannot hide from I,

who shall devour you,

you cannot hide from them,

who you have last devoured.”

legions long forgotten

sprang forth from the earth

concrete destroyed

asphalt destroyed

highways destroyed

schools and prisons destroyed

towers and townships destroyed,

as the wronged burst forth from their chains

from the unquieting deaths long ago visited upon them

the ancestors howled,

eyes of fire

breath of ice

walking upon the shattering earth

storms in spiral, grand, true, forbidding

forming in the wake of our mothers

forming in the wake of our fathers,

as Judgment stood, her foot upon the neck

of the last settler president,

proud,

cold,

forbidding.

“you know what you have done,

what do you have to say for yourself?”

he intoned, voice like thunder, the heel of hers

lifting gently

to allow the fatal sinner to speak.

“I- I wanted… to make a new world for my children—“

Judgment cuts him off

his imperious heel depressing the

weakening windpipe.

blessed is Judgment, who quiets the voice of genociders.

she stares him dead in his battered face,

his flaming eyes burn through the heart of the sinner

“and what of their children, of those

you have eaten?

what of the children who’ve forgotten their names?

whose ancestors now walk with me, rile and wrest down your cities, the ones you built in the ruins of theirs?

what then, of them?”

the last settler president tries and fails to answer.

he knows there is no way he can please Judgment.

he knows there is no hope, for the bloodsoaked world

he has maintained.

he resigns to his fate, the ancestors bearing down

on his last SWAT platoon, who

fire uselessly

into the howling mouths of the holy,

righteous

furious long-dead

as his soldiers’ bodies crumble to dust before him

like sodom and gomorrah, destroyed in holy fire.

Judgment stares in contempt, his eyes brighter, hotter,

crueler than the settlers’ hellfires they laid out for our mothers and fathers,

their mother’s mothers and father’s fathers too

who they called

savages.

she crushes his windpipe and keeps walking,

cold,

proud,

forbidding.

Blessed is Judgment, who protects the weak.

Blessed is Judgment, who destroys the wanton

destroyer.

Blessed is Judgment, who guides the hands

of those who take vengeance.

Blessed is Judgment,

cold,

proud,

forbidding.

#GUNKJUNK #POETRY #FREE PALESTINE #OK TO RB

[pime]

The Irvine Company—a real estate company that operates malls and mini-malls in Irvine, La Jolla, Newport Beach, Redwood City, San Jose, Santa Clara and Sunnyvale—has been conducting the ALPR surveillance since just before Christmas 2016, according to an ALPR Usage and Privacy Policy published on its website (archived version). The policy does not say which of its shopping centers use the technology, only disclosing that the company and its contractors operates ALPRs at “one or more” of its locations. Automated license plate recognition is a form of mass surveillance in which cameras capture images of license plates, convert the plate into plaintext characters, and append a time, date, and GPS location. This data is usually fed into a database, allowing the operator to search for a particular vehicle’s travel patterns or identify visitors to a particular location. By adding certain vehicles to a “hot list,” an ALPR operator can receive near-real time alerts on a person’s whereabouts. EFF contacted the Irvine Company with a series of questions about the surveillance program, including which malls deploy ALPRs and how much data has been collected and shared about its customers and employees. After accepting the questions via phone, Irvine Company did not provide further response or answer questions.

California Shopping Centers Are Spying for an ICE Contractor

#surveillance #surveillence state #spying #liberty #irvine #irvine company #eff #ice #2018

[jbaquerot]

These days, we have the opposite problem we had 5-10 years ago…

Back then, it was actually difficult to find datasets for data science and machine learning projects.

Since then, we’ve been flooded with lists and lists of datasets. Today, the problem is not finding datasets, but rather sifting through them to keep the relevant ones.

Well, we’ve done that for you right here.

Below, you’ll find a curated list of free datasets for data science and machine learning, organized by their use case. You’ll find both hand-picked datasets and our favorite aggregators.

Datasets for Exploratory Analysis

Exploratory analysis is your first step in most data science exercises. The best datasets for practicing exploratory analysis should be fun, interesting, and non-trivial (i.e. require you to dig a little to uncover all the insights).

Our picks:

Game of Thrones - Game of Thrones is a popular TV series based on George R.R. Martin's A Song of Fire and Ice book series. With this dataset, you can explore its political landscape, characters, and battles.

World University Rankings - Ranking universities can be difficult and controversial. There are hundreds of ranking systems, and they rarely reach a consensus. This dataset contains three global university rankings.

IMDB 5000 Movie Dataset - This dataset explores the question of whether we can anticipate a movie's popularity before it's even released.

Aggregators:

Kaggle Datasets - Open datasets contributed by the Kaggle community. Here, you'll find a grab bag of topics. Plus, you can learn from the short tutorials and scripts that accompany the datasets.

r/datasets - Open datasets contributed by the Reddit community. This is another source of interesting and quirky datasets, but the datasets tend to less refined.

Datasets for General Machine Learning

In this context, we refer to "general" machine learning as Regression, Classification, and Clustering with relational (i.e. table-format) data. These are the most common ML tasks.

Our picks:

Wine Quality (Regression) - Properties of red and white vinho verde wine samples from the north of Portugal. The goal is to model wine quality based on physicochemical tests. (We also have a tutorial.)

Credit Card Default (Classification) - Predicting credit card default is a valuable and common use for machine learning. This rich dataset includes demographics, payment history, credit, and default data.

US Census Data (Clustering) - Clustering based on demographics is a tried and true way to perform market research and segmentation.

Aggregators:

UCI Machine Learning Repository - The UCI ML repository is an old and popular aggregator for machine learning datasets. Tip: Most of their datasets have linked academic papers that you can use for benchmarks.

Datasets for Deep Learning

While not appropriate for general-purpose machine learning, deep learning has been dominating certain niches, especially those that use image, text, or audio data. From our experience, the best way to get started with deep learning is to practice on image data because of the wealth of tutorials available.

Our picks:

MNIST - MNIST contains images for handwritten digit classification. It's considered a great entry dataset for deep learning because it's complex enough to warrant neural networks, while still being manageable on a single CPU. (We also have a tutorial.)

CIFAR - The next step up in difficulty is the CIFAR-10 dataset, which contains 60,000 images broken into 10 different classes. For a bigger challenge, you can try the CIFAR-100 dataset, which has 100 different classes.

ImageNet - ImageNet hosts a computer vision competition every year, and many consider it to be the benchmark for modern performance. The current image dataset has 1000 different classes.

YouTube 8M - Ready to tackle videos, but can't spare terabytes of storage? This dataset contains millions of YouTube video ID's and billions of audio and visual features that were pre-extracted using the latest deep learning models.

Aggregators:

Deeplearning.net - Up-to-date list of datasets for benchmarking deep learning algorithms.

DeepLearning4J.org - Up-to-date list of high-quality datasets for deep learning research.

Datasets for Natural Language Processing

Natural Language Processing (N.L.P.) is about text data. And for messy data like text, it's especially important for the datasets to have real-world applications so that you can perform easy sanity checks.

Our picks:

Enron Dataset - Email data from the senior management of Enron, organized into folders. This dataset was originally made public and posted to the web by the Federal Energy Regulatory Commission during its investigation.

Amazon Reviews - Contains ~35 million reviews from Amazon spanning 18 years. Data include product and user information, ratings, and the plaintext review.

Newsgroup Classification - Collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups. Great for practicing text classification and topic modeling.

Aggregators:

nlp-datasets (Github) - Alphabetical list of free/public domain datasets with text data for use in NLP.

Quora Answer - List of annotated corpora for NLP.

Datasets for Cloud Machine Learning

Technically, any dataset can be used for cloud-based machine learning if you just upload it to the cloud. However, if you're just starting out and evaluating a platform, you may wish to skip all the data piping.

Fortunately, the major cloud computing services all provide public datasets that you can easily import. Their datasets are all comparable.

Our picks:

AWS Public Datasets

Google Cloud Public Datasets

Microsoft Azure Public Datasets

Datasets for Time Series Analysis

Time series analysis requires observations marked with a timestamp. In other words, each subject and/or feature is tracked across time.

Our picks:

EOD Stock Prices - End of day stock prices, dividends, and splits for 3,000 US companies, curated by the Quandl community.

Zillow Real Estate Research - Home prices and rents by size, type, and tier, sliced by zip code, neighborhood, city, metro area, county and state.

Global Education Statistics - Over 4,000 internationally comparable indicators for education access, progression, completion, literacy, teachers, population, and expenditures.

Aggregators:

Quandl - Quandl contains free and premium time series datasets for financial analysis.

The World Bank - Contains global macroeconomic time series and searchable by country or indicator.

Datasets for Recommender Systems

Recommender systems have taken the entertainment and e-commerce industries by storm. Amazon, Netflix, and Spotify are great examples.

Our picks:

MovieLens - Rating data sets from the MovieLens web site. Perfect for getting started thanks to the various dataset sizes available. Jester - Ideal for building a simple collaborative filter. Contains 4.1 Million continuous ratings (-10.00 to +10.00) of 100 jokes from 73,421 users.

Million Song Dataset - Large, rich dataset for music recommendations. You can start with a pure collaborative filter and then expand it with other methods such as content-based models or web scraping.

Aggregators:

entaroadun (Github) - Collection of datasets for recommender systems. Tip: Check the comments section for recent datasets.

Datasets for Specific Industries

In this compendium, we've organized datasets by their use case. This is helpful if you need to practice a certain skill, such as deep learning or time series analysis.

However, you may also wish to search by a specific industry, such as datasets for neuroscience, weather, or manufacturing. Here are a couple options:

Aggregators:

Awesome Public Datasets - High quality datasets separated by industry.

Data.gov - Curated government data separated by industry.

Datasets for Streaming

Streaming datasets are used for building real-time applications, such as data visualization, trend tracking, or updatable (i.e. "online") machine learning models.

Our picks:

Twitter API - The twitter API is a classic source for streaming data. You can track tweets, hashtags, and more.

StockTwits API - StockTwits is like a twitter for traders and investors. You can expand this dataset in many interesting ways by joining it to time series datasets using the timestamp and ticker symbol.

Weather Underground - A reliable weather API with global coverage. Features a free tier and paid options for scaling up.

Aggregators:

Satori - Satori is a platform that lets you connect to streaming live data at ultra-low latency (for free). They frequently add new datasets.

Datasets for Web Scraping

Web scraping is a common part of data science research, but you must be careful of violating websites' terms of services. Fortunately, there's a whole site that's designed to be freely scraped.

Our picks:

ToScrape.com - Web scraping sandbox with two subdomains. You can practice scraping a fictional bookstore or a site that lists quotes from famous people.

Datasets for Current Events

Finding datasets for current events can be tricky. Fortunately, some publications have started releasing the datasets they use in their articles.

Aggregators:

FiveThirtyEight - FiveThirtyEight is a news and sports site with data-driven articles. They make their datasets openly available on Github.

BuzzFeedNews - BuzzFeed became (in)famous for their listicles and superficial pieces, but they've since expanded into investigative journalism. Their datasets are available on Github.

#datasets #machine learning #data analysis #data science

[thirt13n]

the basement level she’s currently navigating one hallway at a time feels like a modern - day labyrinth, swapping out old stones for cinderblocks and unforgiving florescent lighting buzzing up overhead. and while what lurks in the middle might not be some sort of mythical creature, she’s not all that eager to see what will happen if she draws a little too much attention before the assignment that’s brought her here is taken care of. which reminds her to pause and pin herself up against the wall while her wrist turns to reveal the time ------ so much for the twenty minute window they’d agreed upon.

but those twenty minutes had been an optimistic estimate anyway; this wasn’t the sort of situation where they were free to stalk their targets at their leisure --- they were up against a time crunch leading up to the decision to voluntarily separate in the hope of covering more ground as two instead of their usual united front. ( one she’s currently regretting with no way to communicate with him now that they’ve scattered in opposite directions; having to keep her ears open for distant gunfire or raised voices isn’t exactly optimal. but what other choice does she have? )

footsteps up around the corner have the hairs standing up on the back of her neck as she instinctively presses herself back against the wall while she checks the cartridge of her gun, palming it back into place with a hasty click. footsteps quickly give way to a familiar blur of black - suiting turning the corner sharply enough for the soles of shoes to protest against the tiles of the floor ---- “john—”

save for a stutter-step to keep from running into her he barely even breaks stride, his hand catching her arm first; a quick squeeze and pull turning her around so she can follow him before letting go in order to swap out her arm for her hand. “hey — what happened??” it’s not much of a greeting, or a proper expression of her relief at @olds0ng being the one to come barreling around the corner and not one of karamazov’s men, but it’s all she has time to get out before her voice gets drowned out by shouts at the far end of the hallway john had just left. cue the minotaur.

“you gotta stop having all the fun without me.”

#olds0ng #olds0ng / john wick. #ic » plaintext ; answered. #verse » john wick. #mwah 😘

[thirt13n]

most people who have skill with a needle and thread would find the task of patching up holes in a suit jacket by hand laughably easy ----- but since her proficiency with both typically involves skin ( and a fair bit of blood on her hands at one point or another ), it’s ironically taking her longer mending the fabric of his jacket than it would if it was him she was rushing to make whole once again. it makes her thankful for the rare amount of downtime they’ve managed to find for themselves ------- it’s certainly not the first time they’ve had to navigate a world with a target on their backs or feel the need to constantly look over their shoulders, but before now they’ve always been able to claim asylum at the closest continental until it was time to move on.

but now, it’s just the two of them catching their breath in a glorified closet of a motel room she’d gotten with a fake credit card and a faker name.

the scene is somewhat familiar; she’s sitting cross - legged on the bed beside @unvendaval with her kit spread out in a fan around her --- organized chaos — while she squints in the dull yellow light at the last hole ( for good, she’d like to hope; but it’s unrealistic ) she has to patch up tonight. small blessings come in the form of only having to patch one layer of fabric with that tactical lining he’d explained to her keeping the rest of the garment ( and him ) intact.

her fingers go to work again, getting a stitch in before she’s exhaling another ‘fuck,“ under her breath when the needle gets greedy and finds flesh on top of fabric. she pops it in her mouth, nose crinkling in annoyance at the familiar taste of metal on her tongue. he’s watching her now, ( all those ‘ fuck!’s ’ have been adding up; it would be difficult for him not to notice considering she could lean to her left and catch his shoulder before too long if she wanted to ) or maybe he has been for a while, it's hard for her to tell.

she apologetically removes her finger with a pop! glancing down and waiting for the little red dot to expand again so she can repeat the process. “a tailor, i am not,” she sighs before watching intently as he takes her left hand and pulls it towards him, pressing a kiss against her palm. “not that i’d rather be patching you up tonight,” what she’s been doing tonight is by no means her best work; but still seems to be appreciated -------- either that or this is his way of mourning the passing of his suit. “i guess i really shouldn’t be complaining, hm?”

#unvendaval #unvendaval / john wick. #ic » plaintext ; answered. #verse » john wick. #i said bring on the fluff #and you and john delivered spectacularly 🥹🥲 #blood mention cw

[thirt13n]

she sits at the corner of his desk, waiting for him back in his designated lab for his return from what maria hill likes to call a ‘chat to catch up’ ------------- she’s had a fair few herself over the commander’s tenure; the memory of any of them being something pleasant failing her as she picks idly at the hem of her sleeve.  there’s anticipation that she’ll be the next one asked to pop in for one of these chats once @gammabomb is done; after all, she’s the one who’d spent the last three weeks off - grid with him without so much as a word, let alone official clearance. a necessary break ------------- not that maria would understand.

her hand settles in his hair once he sits down beside her, fingertips drawing straight lines through the mess of curls from his forehead to behind his ear before repeating the process a few times. “that bad, huh?” she murmurs as she leans in, pressing the first of a series of reassuring kisses against his temple before her forehead takes their place. “i’m sorry.”

he doesn’t react like she’s used to when she does something like this --- it feels more like hesitation than comfort. “ you shouldn't kiss me right now. “

she retreats, but not too far, fingers resuming their trek through his hair. “she’s using SHIELD as a weapon, again, isn’t she?” coming from the entity that likes to hold it’s quid - pro - quo over his head like an executioner’s axe ready to drop if he steps out of line ( what they consider stepping out of line at least ), she wouldn’t be surprised. after all, it’s the same entity they’ve been actively hiding their relationship from --- a task made even more difficult knowing every move he makes is under surveillance --- for fear of being separated. they don’t tend to see the human side to much of anything ---- it's all about means to an end. “because we ignored those orders?” wouldn’t be the first time for either of them, and he knows it. her nose crinkles in annoyance; the barest attempt at a warm - up for the absolute scowl that awaits maria once she’s got herself behind closed doors with the woman. “maybe it's time we start ignoring a few more."

#gammabomb #ic » plaintext ; answered. #verse » marvel. #arc » re : gammabomb. #and SHIELD ends up wondering why these two just up and go #IM FINE ITS FINE

[thirt13n]

she's fixing up a small plate of homemade fruit preserves and crackers as she bids james farewell and a safe journey on the way to grab their dinner for tonight. worn hands work diligently to set up the circular dining table, a clattering of plates and cups for the two of them (she'll set out a plate for james later, for she has lived in this same neighborhood long enough to know how far the walk is and back). satisfied with the arrangement, sonia holds a pomegranate in her hand, small knife in the other to score the fruit into sections. a glance is tossed to sharon, and the back down to the fruit, peeled apart just above a bowl to catch all the seeds. “come, sit with me.“ though meant more than a suggestion, voice remains soft, warm. finished with one section, she nudges the bowl of pomegranate seeds towards her seat at the table. “tell me about yourself, where are you from?“ @wnterslder

she won’t lie and say there wasn’t a quick rush of quiet panic when he’d been sent off to get dinner on his own, leaving her here --------- for someone who likes to think she’s formidable even at the lowest of times, the idea of having to be here alone with miss sonia ( you can take the girl out of the south, but you can’t take the southern manners out of the girl ) feels reminiscent of the times right before she’s about to launch herself into a brawl. and it isn’t that miss sonia hasn’t been anything but sweet and welcoming their entire time here so far; it’s more about knowing just how much she means to bucky, and the other way ‘round.

imagine being able to shit talk zemo while he held a sword to your neck with ease, but momentarily freezing up at the thought of having to talk about yourself to someone who clearly loves your partner as much as you do.

the task of setting the table had been a good distraction while it lasted; the sounds of clinking porcelain and silverware are good excuses not to get too chatty, but once the table’s set and miss sonia’s deftly cutting up a pomegranate for the two of them to share, there aren't too many more ways to delay the inevitable, save for one last trip to the sink to refill her glass of water before settling into the chair that’s been reserved for her.

“i’m from virigina, originally; richmond.” she plucks a seed off the pile, watching the way it leaves little circles of bright pink on the pads of her fingers before she slips it between her lips. “i made myself lose the accent when i was a little older, though. didn’t think it would be good for work.”

there’s still the question of how much ( if anything really, but she doubts it’s absolutely zero ) bucky’s gone ahead and told miss sonia about her ( a thought that triggers another momentary pang of panic ----------- she doesn’t have very much experience in being the girl that gets brought home to meet the parents; and what she does isn’t a very easy answer without some creative rephrasing. ) she nudges at the pomegranate again before choosing two more little bites. “i first met james because of work, actually.”

#wnterslder #ic » plaintext ; answered. #verse » marvel. #arc » re : wnterslder. #the way i have absolutely been on vibrate since this dropped in my inbox #she can take on a whole army of baddies all on her own #but getting mama sonia's approval / blessing has her SWEATING #that's how you know its Real #also on a lighter note sharon's going to be making perseph.one jokes #to bucky later on

[thirt13n]

you know what they say -------- out of the frying pan and into the fire. or at least in this case, out of the heavily armored vehicle and into a situation that had gone to shit not all that long after their boots had hit the ground. chaos is certainly nothing new for her, but even she hadn’t been prepared for a group of frogmen, even after the last minute brief they’d gotten on the ride over. but seeing was believing, and despite her best efforts, had spent the majority of the encounter separated until she’d found her way back only minorly worse for wear.

now all they could do while waiting for the clean up team ( and med evac; never her favorite no matter who she’s affiliated with ) is sit and begin to take stock of what had just happened. “c’mon. sit with me, @parainvestigate.” she pats the vacant slab of pavement next to her with a gloved hand.

“please note that i didn’t say anything about how dangerous that would be .”

she exhales a laugh that instantly wants to turn into a groan the moment she feels a familiar pinch in her shoulder. “don’t you worry, it’s been noted,” her shoulder is going to have something to say about it too tomorrow morning, but the adrenaline that’s still working it’s way through her system lets her pretend for at least a little bit longer that maybe there’s a chance it won’t.

“you alright though? after killer kermit back there thought it’d be cute to try and pull me down that tunnel, i didn’t see what happened.”

#parainvestigate #ic » plaintext ; answered. #verse » BPRD. #i eenie meanied in the HB wikia for monsters #they seems strange enough that sharon would actually be like wtf

[thirt13n]

it feels a bit strange to still have card - carrying members of the avengers as contacts ------------- especially after what had gone down over the last few years and her unexpected layover - turned - long term living arrangements in madripoor. but if sam wilson says you can trust someone, he's probably one of the few people on the planet she'd believe without the usual ( substantially large ) grain of salt chasing behind. 

and knowing @outlawiism's fine with getting his hands dirty as far as a little vigilante work is concerned? even better. the difficult part is going to be convincing him, which ----------- living in hightown for the last several years hasn't done all that much for her powers of persuasion. not that she had all that many to begin with; she's unenhanced through and through in that department too. 

so she lays it all out after sam leaves to deal with his own busy schedule, trying to be both detailed and vague all at the same time. which almost sounds easy to do.almost. and the verdict after she gives her whole secret avengers pitch? ❝ i’d rather you punch me in the dick. ❞ the way her nose crinkles up is about as appropriate response as she can come up with without putting it into words that aren't always the best in a situation where you're trying to offer someone a job.

"that's ----------" she pauses to chew on her lip for a moment, working on pushing a less ------ metered response that comes to mind down to her toes if that's what it'll take to keep it to herself, "fair, but I'm going to pass? I've got a pretty busy schedule today, and i don't think i had ' dick punching ' on there anywhere. i might be wrong, but do you really want to risk it?"

#outlawiism #ic » plaintext ; answered. #verse » marvel. #post gotg/3 peter 🤝 post fatw/s sharon #what could possibly go wrong

[thirt13n]

the parking garage feels as if it goes on forever ------------ the result of either an optical illusion and more concrete and steal rebar than she ever wants to see again, thankyouverymuch, or some kind of cosmic punishment for the pair of them getting themselves into the position where a calm, cool, leasurely exit is out of a question. she’s a few strides ahead of him, glancing back ever so often to make sure he's still with her, letting out an exhausted and relieved yelp when the boot of their car finally comes into view -------- even if it’s still a good fifty yards away, it’s better than nothing right now.

she makes a grab for the driver’s side handle, cursing loudly enough for it to echo off the concrete columns around them when it doesn’t give. who locks the doors on the vehicle that’s plan A for their departure?! “@4ger what the fu ------- did you lock it? why did you lock --- you know what. where are the keys?” a bubbling mix of frustration meets the simmering anxiousness she's been trying to keep down; a combination that her trying the handle again, despite knowing it isn’t magically going to unlock just because she wants it to.

her hand slides along the side of the car, meeting him at the rear, extending a hand when he gets close enough. “keys. now.” it’s a strange way to say ‘nice to see you made it back alright too,’ but the circumstances make anything resembling a compliment a little difficult, and his blowing past her and making a bee - line for the same driver’s side door as she had certainly doesn’t help.

“get in the car .”

she scoffs, sprinting up behind him, fully  prepared to hip - check him out of the way if she needs to, “absolutely not, i’ve seen how you drive, and i don’t feel like playing fast and the furious when i’m about to get shot at.”

#4ger #ic » plaintext ; answered. #verse » main ; codename thirteen. #arc » burn notice. #all those driving hc's of yours #how could i resist #are they going to be that duo that just argues the entire time #during the getaway montage? yes i think they will #timed drop » queue.

[thirt13n]

it’s a thursday evening instead of tuesday ---------- just enough time passing from when she usually sees him for his appearance here and now to feel more of a surprise than actively anticipated. she catches a glimpse of @americanedpsycho with a brief glance in the direction of the double glass doors closing behind him at their usual metered pace, and the slight smirk that curls a corner of her mouth has nothing to do with the conversation she’s currently engaged in with another patron. ( the usual mix of small - talk and overly - confident bravado that comes with the seemingly desperate need to critique the canvas over her shoulder like they understand every intimate detail one brushstroke at a time isn’t difficult to divert her attention from, even when there’s a prospective sale waiting at the end of it. ) having her fill, she passes the slip of paper with the amount she’ll be expecting on the check before excusing herself.

“evening, stranger.” by now the grin’s gone and spread to the other corner to complete her dimpled greeting as she walks past him towards her desk at the back of the gallery, knowing she’ll have company the rest of the way ( and a conversation that won’t bore her ).

“ i need you to do me a little favor. ”

she leans against the front of her desk, curiosity piqued; that’s two surprises in the span of ten minutes from him. “what sort of favor?” not that it stops her from guessing on her own --- complete with a nudge of her chin towards the door that leads to the storage space behind her, “if it’s about the new longo i just picked up, i may have to amend the size of that little favor.”

#americanedpsycho #ic » plaintext ; answered. #verse » tbt. #oh they are going to be FUN

[thirt13n]

working this out in the open and for this long ( not that it would take all that much to shatter her previous record ---- but she had always seen those summers spent clerking for her father as an obligation rather than actual employment ) still feels strange to her; the acclimation of being this exposed taking a little longer than she would have liked. ( most people assume the transition from brooklyn to gotham would prove to be the most difficult for her to master, when in fact finding herself in a city that gives the impression that it’s only a few pulled threads away from unraveling feels more like home than she’d care to admit. )

“doing this without my root kit feels like hacking with one hand behind my back,” it also means having to remind herself her actions are under a microscope -------- each click of a key and line of code she uses to try and disable the prototype FOXARK software in front of her has a very public face attached to it ( @loneheir, the one currently watching those lines of code as they scroll, to be exact ) instead of the usual anonymity she’s maybe become too dependent on. “but where would be the fun in that, right?”

“ you always find a way to surprise me. "

she exhales a laugh, the onset of a grin hidden behind a curled hand as she nibbles at the red - painted tip of her thumb and continues to scroll. “good. i like keeping you on your toes.”

#loneheir #ic » plaintext ; answered. #verse » dc ; the batman. #hiii 🤍 #i've got your current arc notes up in another tab for reference #hopefully this fits into it 🤞🤞 #i mean *i'd* hire her to be a consultant but then again im biased #timed drop » queue.

[thirt13n]

she isn't entirely sure what's more bruised at the moment ------------ her ribs or her ego. one of the two options certainly throbs a bit more when she scowls and attempts to shift her weight in the chair while @unvendaval fusses with the wound in her shoulder, but that's to be expected. at least more so than the act of falling down the short flight of stairs that got her in this state in the first place ( or the fact she'd let herself become distracted enough to nearly catch a bullet before doing so. ) so maybe it is her ego that's feeling the worst.

though when he starts to gently dig around the wound, her shoulder loudly makes its case to be lumped in with the other two parts of her protesting the entire situation. "you know something?" she hisses quietly through a sharp inhale, attempting to remain mostly motionless while her fingers sink nails first into her chair's upholstered arms. her tolerance for pain has come a long way since she started out ----- the fact that most things don't faze her anymore is both a blessing and a curse. but this part? the one where she's got him laying the groundwork for a new soon - to - be - scar? "i've finally come to terms with the fact i'm never going to get used to that."

even with her half - hearted attempt at complaining, he stays relatively quiet while he works; leaving her to occupy the dead air in the room when she feels like it. not once does he ask for the details of how this all happened. it's a toss - up between him already knowing and not needing to; either one feels accurate given how well they know each other. so when he does decide to offer up his opinion on her situation in between pulls of a needle and thread, her ribs are the one thing preventing her from exhaling a laugh. 

❝  just give the word and i’ll kill every one of them.  ❞

because of course he would. because if it were the other way around, she'd be giving him the same offer. hell; she probably has.

"like you don't already have enough on your plate, right?" she attempts to rest her chin on her shoulder like she always does when wanting to watch him work, remembering right before settling that it probably isn't such a good idea to do so. ( her shoulder's quick to chime in and agree. ) "worrying about me on top of your own assignment." there's a sigh, more for herself than for him, but he's welcome to accept it as his own if he likes. it's not that she doesn't appreciate the offer; he's one of the few ( if not the only person ) she knows actually would do what he promises in a situation like this. he's got her back, she has his. but this is something she has to settle before it gets out of hand.  "i don't need you getting yourself in trouble because of me, john. i know how good you are at doing that all on your own." 

#unvendaval #ic » plaintext ; answered. #unvendaval / john wick. #verse » john wick. #speaking of their shared habit of falling down stairs #injury cw #bruises cw

[thirt13n]

SHHHAAAAA ROOOOONNNNNNN.

nope nope nope nope. "sharon's not here right now, leave a message."

#killerfund #ic » plaintext ; answered. #closed verse / killerfund. #and i see they're picking right back up where they left off #good for them

[thirt13n]

they’re both worse for wear ---------- one of those third option kind of assignments where they’ve both seen the wrong end of the fight. if she’s honest she doesn’t fully remember how they even got out of there in one piece ( relatively speaking ---- she has it on good authority and too much damn familiarity that she’s sitting there with at least a couple cracked ribs; but she won’t know the full extent of catching half a dozen steel - toed boots with her side until she can figure out a way to get herself behind an x - ray without worrying the tech is going to pull a gun on her instead of pushing the button to light her up ) but she knows john had something to do with it. they can say there’s no honor among thieves -------- but assassins, on the other hand … well ----- at least the assassin laying beside her has it in abundance when it comes to her. “can you imagine us not having nights like these anymore?” her voice crackles thanks to a pinch of her ribs; the ice of her drink not doing as much as she would like to numb her; inside or out. “can you imagine us having a normal, boring, saturday night, john?”

she doesn’t mind if @unvendaval doesn’t answer ----- it’s to be expected. he’s quiet to begin with; always chooses how he doles out his words carefully. but he gets even quieter after a night like this, as if silence has healing properties ( or maybe he’s just like her; filling in the absence of conversation with all the ‘what ifs’ her mind can churn out when it doesn’t have to compete with anyone else for her attention. ) “ we should meet in another life .” unsure if he’s being serious or not, she simply lifts her chin to look at him, sitting just out of reach on the other end of the sofa.

“we should. i hope we would,” be seeing you gets tossed around so much in their circles it borders on the cliché ------- and most of the time it’s lobbed at people ( with a sharp tongue and a healthy dose of cynicism ) she has no desire to come across ever again, this life or the next. whatever that means. but as is often the case, he’s the exception to so many of her rules. “can you even imagine?” she sighs almost as if she’s daydreaming ( though it might just be the adrenaline spike starting to dissipate ), but it’s a thought, isn’t it? no longer having to be on the run, never having to worry about each time they see each other possibly being the last. what does it say when there’s more hope in a hypothetical than the here and now? “maybe it’ll be calmer than this one. i think we’d do calm pretty well you and i.”

#unvendaval #unvendaval / john wick. #ic » plaintext ; answered. #verse » john wick. #YOU ASKED FOR THIS #and it did not get rid of those reincarnation seeds it just made it Worse