#05/12/19

[sugdensdingle]

[chick-it-out]

[midcinmancave]

“Try, Try Again"

A visual novel, part 2 of 4

How far would you go for love? Tonight, we'll find out.

Story Prompts: "I know you better" "It's a new day, let's go" "Follow me if you want to live" "Are we happy?" "Did you hear that?" "Did you stick to the plan?" "You always have a plan" "This is getting ridiculous" "We've done worse" "Why are we doing this again?" "We can fix this, I know we can" "You didn't do anything wrong" "How did this happen?" "It's always been you"

Fictober24 Submission #02 Fandom:  Midnight Cinderella Featuring:  Leo Crawford, Louis Howard, Michelangelo Christophe, Sid Arnault, Giles Christophe, The Princess Warnings:  Grief, Death Rating/Genre:  General Audience, Drama, Mystery, Horror Writer/Illustrator:  Princess Destiny (@destinyumechan) in collaboration with the KoW Writer Project

[lance-thunder-reporting-live]

Good morning Amity Park, I'm your weatherman, Lance Thunder. Today's Monday, December 19, and there is a 30% chance of rain and snow. Highs are in the high twenties and lows are in the low teens.

No ghosts were seen or attacked last night. While this seems strange, it mirrors a decrease in ghost activity seen last year.

Hanukkah started last night and winter break starts today. Winter break will end on the 18th of January and Hanukkah will end on the evening of the 26th. Happy break and happy Hanukkah.

The Fentons will likely be driving today so be careful on the roads.

[fernand0]

Mejor de lo que pensábamos

(2024-07-18) /> (2024-06-27) /> (2024-06-27) /> (2024-06-27) /> (2024-07-05) /> (2024-07-05) /> (2024-07-09) /> (2024-07-09) /> (2024-07-12) /> (2024-07-18) /> (2024-07-18) /> (2024-07-19) /> (2024-07-19) /> (2024-07-12) />

[thelamb12-2-22]

i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was a child i was

[mailnews]

BRT OPERADORA

DUBAI Econômico com BLOQUEIO Exclusivo l De 12 a 19 de maio de 2024

"Informativo originalmente direcionado aos Agentes de Viagens. Fale com seu Agente ou com a própria empresa anunciante para mais informações"

MAILNEWS #BRTOPERADORA

[microbim]

07 - 绘制卫生间的隔间布置图 | BricsCAD 101零基础入门

[zyafics]

HEARTBREAK: LIVE | Masterlist

Rafe Cameron's MASTERLIST | Social Media AU

Pairing — Ex-BF!Rafe x Radio Host!Female Reader

Summary — You and Rafe were the perfect couple. But after a mysterious breakup, you went off the grid. When your best friends pulls you back into the spotlight to host a on-campus radio show, you find yourself opening up to the world about your experience. This time, with everyone listening—including Rafe. And him? He wants you back.

Content — college au, football player!rafe au

NAVIGATION —

hb:l asks – hb:l thoughts – hb:l theories – hb:l analysis – playlist

TABLE OF CONTENT —

✶ Part 01 ✶ Part 02 ✶ Part 03 ✶ Part 04 ✶ Part 05

✶ Part 06 ✶ Part 07 ✶ Part 08 ✶ Part 09 ✶ Part 10

✶ Part 11 ✶ Part 12 ✶ Part 13 ✶ Part 14 ✶ Part 15

✶ Part 16 ✶ Part 17 ✶ Part 18 ✶ Part 19 ✶ Part 20

✶ Part 21 ✶ Part 22 ✶ Part 23 ✶ Part 24 ✶ Part 25

✶ Part 26 ✶ Part 27 ✶ Part 28 ✶ Part 29 ✶ Part 30

✶ Part 31 ✶ Part 32 ✶ Part 33 ✶ Part 34 ✶ Part 35

✶ Part 36 ✶ Part 37 ✶ Part 38 ✶ Part 39 ✶ Part 40

✶ Part 41 ✶ Part 42 ✶ Part 43 ✶ Part 44 ✶ Part 45

✶ Part 46 ✶ Part 47 ✶ Part 48 ✶ Part 49 ✶ Part 50

✶ Part 51 ✶ Part 52 ✶ Part 53 ✶ Part 54 ✶ Part 55

✶ Part 56 ✶ Part 57 ✶ Part 58 ✶ Part 59 ✶ Part 60

✶ Part 61 ✶ Part 62 ✶ Part 63 ✶ Part 64 ✶ Part 65

EXTRAS —

✶ when reader blocks rafe on all socials

✶ when it's 'national text an ex' day

✶ when reader posts about rafe on instagram

✶ rafe and reader's clay date night

✶ reader watching their football edit

✶ reader sending rafe a football tiktok

IMPORTANT INFO ABOUT TAGLIST AND UPDATES: if you want to be notified about all my fics and updates, follow @zyafics-library and turn on notifications! however, if you want to be added to this specific taglist, let me know (but to remain tagged, you must interact with the posts).

[mostlysignssomeportents]

Bossware is unfair (in the legal sense, too)

You can get into a lot of trouble by assuming that rich people know what they're doing. For example, might assume that ad-tech works – bypassing peoples' critical faculties, reaching inside their minds and brainwashing them with Big Data insights, because if that's not what's happening, then why would rich people pour billions into those ads?

https://pluralistic.net/2020/12/06/surveillance-tulip-bulbs/#adtech-bubble

You might assume that private equity looters make their investors rich, because otherwise, why would rich people hand over trillions for them to play with?

https://thenextrecession.wordpress.com/2024/11/19/private-equity-vampire-capital/

The truth is, rich people are suckers like the rest of us. If anything, succeeding once or twice makes you an even bigger mark, with a sense of your own infallibility that inflates to fill the bubble your yes-men seal you inside of.

Rich people fall for scams just like you and me. Anyone can be a mark. I was:

https://pluralistic.net/2024/02/05/cyber-dunning-kruger/#swiss-cheese-security

But though rich people can fall for scams the same way you and I do, the way those scams play out is very different when the marks are wealthy. As Keynes had it, "The market can remain irrational longer than you can remain solvent." When the marks are rich (or worse, super-rich), they can be played for much longer before they go bust, creating the appearance of solidity.

Noted Keynesian John Kenneth Galbraith had his own thoughts on this. Galbraith coined the term "bezzle" to describe "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." In that magic interval, everyone feels better off: the mark thinks he's up, and the con artist knows he's up.

Rich marks have looong bezzles. Empirically incorrect ideas grounded in the most outrageous superstition and junk science can take over whole sections of your life, simply because a rich person – or rich people – are convinced that they're good for you.

Take "scientific management." In the early 20th century, the con artist Frederick Taylor convinced rich industrialists that he could increase their workers' productivity through a kind of caliper-and-stopwatch driven choreographry:

https://pluralistic.net/2022/08/21/great-taylors-ghost/#solidarity-or-bust

Taylor and his army of labcoated sadists perched at the elbows of factory workers (whom Taylor referred to as "stupid," "mentally sluggish," and as "an ox") and scripted their motions to a fare-the-well, transforming their work into a kind of kabuki of obedience. They weren't more efficient, but they looked smart, like obedient robots, and this made their bosses happy. The bosses shelled out fortunes for Taylor's services, even though the workers who followed his prescriptions were less efficient and generated fewer profits. Bosses were so dazzled by the spectacle of a factory floor of crisply moving people interfacing with crisply working machines that they failed to understand that they were losing money on the whole business.

To the extent they noticed that their revenues were declining after implementing Taylorism, they assumed that this was because they needed more scientific management. Taylor had a sweet con: the worse his advice performed, the more reasons their were to pay him for more advice.

Taylorism is a perfect con to run on the wealthy and powerful. It feeds into their prejudice and mistrust of their workers, and into their misplaced confidence in their own ability to understand their workers' jobs better than their workers do. There's always a long dollar to be made playing the "scientific management" con.

Today, there's an app for that. "Bossware" is a class of technology that monitors and disciplines workers, and it was supercharged by the pandemic and the rise of work-from-home. Combine bossware with work-from-home and your boss gets to control your life even when in your own place – "work from home" becomes "live at work":

https://pluralistic.net/2021/02/24/gwb-rumsfeld-monsters/#bossware

Gig workers are at the white-hot center of bossware. Gig work promises "be your own boss," but bossware puts a Taylorist caliper wielder into your phone, monitoring and disciplining you as you drive your wn car around delivering parcels or picking up passengers.

In automation terms, a worker hitched to an app this way is a "reverse centaur." Automation theorists call a human augmented by a machine a "centaur" – a human head supported by a machine's tireless and strong body. A "reverse centaur" is a machine augmented by a human – like the Amazon delivery driver whose app goads them to make inhuman delivery quotas while punishing them for looking in the "wrong" direction or even singing along with the radio:

https://pluralistic.net/2024/08/02/despotism-on-demand/#virtual-whips

Bossware pre-dates the current AI bubble, but AI mania has supercharged it. AI pumpers insist that AI can do things it positively cannot do – rolling out an "autonomous robot" that turns out to be a guy in a robot suit, say – and rich people are groomed to buy the services of "AI-powered" bossware:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

For an AI scammer like Elon Musk or Sam Altman, the fact that an AI can't do your job is irrelevant. From a business perspective, the only thing that matters is whether a salesperson can convince your boss that an AI can do your job – whether or not that's true:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

The fact that AI can't do your job, but that your boss can be convinced to fire you and replace you with the AI that can't do your job, is the central fact of the 21st century labor market. AI has created a world of "algorithmic management" where humans are demoted to reverse centaurs, monitored and bossed about by an app.

The techbro's overwhelming conceit is that nothing is a crime, so long as you do it with an app. Just as fintech is designed to be a bank that's exempt from banking regulations, the gig economy is meant to be a workplace that's exempt from labor law. But this wheeze is transparent, and easily pierced by enforcers, so long as those enforcers want to do their jobs. One such enforcer is Alvaro Bedoya, an FTC commissioner with a keen interest in antitrust's relationship to labor protection.

Bedoya understands that antitrust has a checkered history when it comes to labor. As he's written, the history of antitrust is a series of incidents in which Congress revised the law to make it clear that forming a union was not the same thing as forming a cartel, only to be ignored by boss-friendly judges:

https://pluralistic.net/2023/04/14/aiming-at-dollars/#not-men

Bedoya is no mere historian. He's an FTC Commissioner, one of the most powerful regulators in the world, and he's profoundly interested in using that power to help workers, especially gig workers, whose misery starts with systemic, wide-scale misclassification as contractors:

https://pluralistic.net/2024/02/02/upward-redistribution/

In a new speech to NYU's Wagner School of Public Service, Bedoya argues that the FTC's existing authority allows it to crack down on algorithmic management – that is, algorithmic management is illegal, even if you break the law with an app:

https://www.ftc.gov/system/files/ftc_gov/pdf/bedoya-remarks-unfairness-in-workplace-surveillance-and-automated-management.pdf

Bedoya starts with a delightful analogy to The Hawtch-Hawtch, a mythical town from a Dr Seuss poem. The Hawtch-Hawtch economy is based on beekeeping, and the Hawtchers develop an overwhelming obsession with their bee's laziness, and determine to wring more work (and more honey) out of him. So they appoint a "bee-watcher." But the bee doesn't produce any more honey, which leads the Hawtchers to suspect their bee-watcher might be sleeping on the job, so they hire a bee-watcher-watcher. When that doesn't work, they hire a bee-watcher-watcher-watcher, and so on and on.

For gig workers, it's bee-watchers all the way down. Call center workers are subjected to "AI" video monitoring, and "AI" voice monitoring that purports to measure their empathy. Another AI times their calls. Two more AIs analyze the "sentiment" of the calls and the success of workers in meeting arbitrary metrics. On average, a call-center worker is subjected to five forms of bossware, which stand at their shoulders, marking them down and brooking no debate.

For example, when an experienced call center operator fielded a call from a customer with a flooded house who wanted to know why no one from her boss's repair plan system had come out to address the flooding, the operator was punished by the AI for failing to try to sell the customer a repair plan. There was no way for the operator to protest that the customer had a repair plan already, and had called to complain about it.

Workers report being sickened by this kind of surveillance, literally – stressed to the point of nausea and insomnia. Ironically, one of the most pervasive sources of automation-driven sickness are the "AI wellness" apps that bosses are sold by AI hucksters:

https://pluralistic.net/2024/03/15/wellness-taylorism/#sick-of-spying

The FTC has broad authority to block "unfair trade practices," and Bedoya builds the case that this is an unfair trade practice. Proving an unfair trade practice is a three-part test: a practice is unfair if it causes "substantial injury," can't be "reasonably avoided," and isn't outweighed by a "countervailing benefit." In his speech, Bedoya makes the case that algorithmic management satisfies all three steps and is thus illegal.

On the question of "substantial injury," Bedoya describes the workday of warehouse workers working for ecommerce sites. He describes one worker who is monitored by an AI that requires him to pick and drop an object off a moving belt every 10 seconds, for ten hours per day. The worker's performance is tracked by a leaderboard, and supervisors punish and scold workers who don't make quota, and the algorithm auto-fires if you fail to meet it.

Under those conditions, it was only a matter of time until the worker experienced injuries to two of his discs and was permanently disabled, with the company being found 100% responsible for this injury. OSHA found a "direct connection" between the algorithm and the injury. No wonder warehouses sport vending machines that sell painkillers rather than sodas. It's clear that algorithmic management leads to "substantial injury."

What about "reasonably avoidable?" Can workers avoid the harms of algorithmic management? Bedoya describes the experience of NYC rideshare drivers who attended a round-table with him. The drivers describe logging tens of thousands of successful rides for the apps they work for, on promise of "being their own boss." But then the apps start randomly suspending them, telling them they aren't eligible to book a ride for hours at a time, sending them across town to serve an underserved area and still suspending them. Drivers who stop for coffee or a pee are locked out of the apps for hours as punishment, and so drive 12-hour shifts without a single break, in hopes of pleasing the inscrutable, high-handed app.

All this, as drivers' pay is falling and their credit card debts are mounting. No one will explain to drivers how their pay is determined, though the legal scholar Veena Dubal's work on "algorithmic wage discrimination" reveals that rideshare apps temporarily increase the pay of drivers who refuse rides, only to lower it again once they're back behind the wheel:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

This is like the pit boss who gives a losing gambler some freebies to lure them back to the table, over and over, until they're broke. No wonder they call this a "casino mechanic." There's only two major rideshare apps, and they both use the same high-handed tactics. For Bedoya, this satisfies the second test for an "unfair practice" – it can't be reasonably avoided. If you drive rideshare, you're trapped by the harmful conduct.

The final prong of the "unfair practice" test is whether the conduct has "countervailing value" that makes up for this harm.

To address this, Bedoya goes back to the call center, where operators' performance is assessed by "Speech Emotion Recognition" algorithms, a psuedoscientific hoax that purports to be able to determine your emotions from your voice. These SERs don't work – for example, they might interpret a customer's laughter as anger. But they fail differently for different kinds of workers: workers with accents – from the American south, or the Philippines – attract more disapprobation from the AI. Half of all call center workers are monitored by SERs, and a quarter of workers have SERs scoring them "constantly."

Bossware AIs also produce transcripts of these workers' calls, but workers with accents find them "riddled with errors." These are consequential errors, since their bosses assess their performance based on the transcripts, and yet another AI produces automated work scores based on them.

In other words, algorithmic management is a procession of bee-watchers, bee-watcher-watchers, and bee-watcher-watcher-watchers, stretching to infinity. It's junk science. It's not producing better call center workers. It's producing arbitrary punishments, often against the best workers in the call center.

There is no "countervailing benefit" to offset the unavoidable substantial injury of life under algorithmic management. In other words, algorithmic management fails all three prongs of the "unfair practice" test, and it's illegal.

What should we do about it? Bedoya builds the case for the FTC acting on workers' behalf under its "unfair practice" authority, but he also points out that the lack of worker privacy is at the root of this hellscape of algorithmic management.

He's right. The last major update Congress made to US privacy law was in 1988, when they banned video-store clerks from telling the newspapers which VHS cassettes you rented. The US is long overdue for a new privacy regime, and workers under algorithmic management are part of a broad coalition that's closer than ever to making that happen:

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

Workers should have the right to know which of their data is being collected, who it's being shared by, and how it's being used. We all should have that right. That's what the actors' strike was partly motivated by: actors who were being ordered to wear mocap suits to produce data that could be used to produce a digital double of them, "training their replacement," but the replacement was a deepfake.

With a Trump administration on the horizon, the future of the FTC is in doubt. But the coalition for a new privacy law includes many of Trumpland's most powerful blocs – like Jan 6 rioters whose location was swept up by Google and handed over to the FBI. A strong privacy law would protect their Fourth Amendment rights – but also the rights of BLM protesters who experienced this far more often, and with far worse consequences, than the insurrectionists.

The "we do it with an app, so it's not illegal" ruse is wearing thinner by the day. When you have a boss for an app, your real boss gets an accountability sink, a convenient scapegoat that can be blamed for your misery.

The fact that this makes you worse at your job, that it loses your boss money, is no guarantee that you will be spared. Rich people make great marks, and they can remain irrational longer than you can remain solvent. Markets won't solve this one – but worker power can.

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

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

[r3starttt]

𝐊!𝐍𝐊𝐓𝕲𝐁3𝐑 ♱ུ⃛ᰭ by 𝖗.𝖘𝖗𝖆𝖗𝖙𝖙𝖙

▬▬▬▬▬▬▬▭▬▬▬▬▬▬▬

[TAGLIST]

This is a series of short blurbs-drabbles-one shots that contain explicit sexual content and potentially triggering themes. Viewer discretion is advised. ©𝖗.𝖘𝖗𝖆𝖗𝖙𝖙𝖙

▬▬▬▬▬▬▬▭▬▬▬▬▬▬▬

‣̲ ❪ 01) BREEDING KINK dom! Abby

‣̲ ❪ 02) MOMMY KINK soft!dom! Dina

‣̲ ❪ 03) FACE SITTING dom! Abby

‣̲ ❪ 04) PRAISE KINK soft!dom! Caitlyn

‣̲ ❪ 05) MARKING KINK sub! Vi

06

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07

‣̲ ❪ 08) PRAISE KINK soft!dom! Dina

‣̲ ❪ 09) GHOSTFACE dom! Abby

‣̲ ❪ 10) MIRROR SEX dom! Caitlyn

‣̲ ❪ 11) DACRYPHILIA dom! Ellie

‣̲ ❪ 12) HAIR PULLING sub! Caitlyn

13

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14

‣̲ ❪ 15) BONDAGE sub! Abby

‣̲ ❪ 16) GUN PLAY dom! Caitlyn

‣̲ ❪ 17) BLADDER CONTROL dom! Abby

‣̲ ❪ 18) GHOSTFACE dom! Ellie

‣̲ ❪ 19) WAX PLAY sub! Caitlyn

20

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21

‣̲ ❪ 22) WEREWOLF reader x Abby

‣̲ ❪ 23) VAMPIRE reader x Caitlyn

24

‣̲ ❪ 25) HUNTER ellie x vamp! reader

‣̲ ❪ 26) VAMPIRE dina x reader

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27

‣̲ ❪ 28) VAMPIRE ELLABS

‣̲ ❪ 29) GHOSTFACE CAITVI

30

‣̲ ❪ 31) JENNIFER'S BODY Abby x reader

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Please note that everything depicted is fictional, created purely for entertainment and creative exploration.

Remember, consent is key—"no" always means "no," without exception. I do not support or condone any dangerous, non-consensual behavior, unhealthy power dynamics, significant age differences, or actions that are disrespectful or harmful. These works are fictional and meant to explore darker elements of fanfiction as a creative exercise.

If you feel that any content is offensive or disrespectful, please inform me, and I will address it immediately. It is never my intent to offend or harm anyone.

[tojisun]

my baby swingin’ — simon (ghost) riley

biker!simon (ghost) riley x fem reader

> a bunch of snapshots of simon and his pretty little sweetheart’s adventures.

!! suggestive - minors dni; canon divergence; no chronological order (basically a bunch of loosely-tied worldbuilding); subtle and hinted age difference; reader gets princess treatment because she deserves it so!!

: im the one who’s the most confused as to how my obsession with biker!simon started but im stringing u along anyway so pls have fun!! my inbox is open for brainworms <33

for all posts, pls click on biker!simon tag <33

part 01 - intro post; headcanons

part 02 - simon can’t wait to come home to you

part 03 - getting over your fear of riding a bike

part 04 - lap sitting (a visual); ask

part 05 - simon and your first meeting; ask // extra 01

part 06 - little donuts at the park <;33

part 07 - simon’s instagram account (includes visuals); ask

part 08 - teasin’ each other on their way home; ask; suggestive

part 09 - body worship (a visual); ask; suggestive

part 10 - getting over your fear of riding a bike sequel! (a visual); ask

part 11 - mutual desperation spilling over; smut

part 12 - burning from all these messages; smut

part 13 - scary mask!! (a visual); ask

part 14 - of prince charming and care packages

part 15 - scary ghost? yes. protective ghost? yes <;33; ask

part 16 - safe drive!; ask

part 17 - simon and your first meeting cont.; ask; smut

part 18 - fun times on his bike; ask; smut

-

extra 02 - your nephew’s new favourite adult (a visual); ask

extra 03 - biker!konig makes an appearance!!! (a visual); ask

extra 04 - smack! smack! smack! (a visual); ask

extra 05 - picking up the backpack (a visual); ask

extra 06 - you don’t use it, you lose it; ask

extra 07 - price on a harley; ask

extra 08 - helmet kiss (a visual); ask

extra 09 - ‘girls cum first’ sweater (a visual); ask; smut

extra 10 - tf141 and their shared backpack princess; ask

extra 11 - period cramps and cuddling; ask

extra 12 - of checkpoint videos & dashing men (a visual); ask

extra 13 - no backpacks allowed (a visual); ask

extra 14 - he slipped!! (a visual); ask

extra 15 - her famous luvr; ask (a visual)

extra 16 - keys and kisses; ask

extra 17 - simon announcing his girl (includes visual!); ask

extra 18 - careful now (a visual); ask

extra 19 - they’re friends??

extra 20 - pretty blue lace; ask; smut

extra 21 - dad!simon (a visual); ask

extra 22 - lil smut (a visual); ask

extra 23 - riding on the rain (a visual); ask

extra 24 - girl dad simon; ask

extra 25 - gorgeous and protective (a visual); ask

extra 26 - zip that shit up (a visual); ask | recent!

-

dear john - dbf!simon

↳ for all toxic/dbf simon pls click on dbf!simon tag!!

toxic dad’s best friend biker!simon au; ask; angst + smut

‘dear john’: cont. of toxic dad’s best friend biker!simon au; ask; angst + suggestive

mini cont of dear john; ask

dear john (but it’s john price); ask

dear john (how he fucks); smut

dear john (as illicit affairs); ask; angst + smut

dear john (illicit affairs origin); angst + smut

dear john (illicit affairs origins but as reader); ask; angst + suggestive

dear john (reader moving on); ask | recent!

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subset 01 - best friend n biker!simon au; ask

subset 02 - best friend n biker!simon au cont.

subset 03 - bimbo!reader

unofficial extra - baker!simon

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i have a short taglist so pls lmk if you would like to be tagged too ^v^ no more taglist

(updated: 16 march 2024)

[bacchuschucklefuck]

soon it'll be dawn again

transcript under the cut ⏬

page 01

Fig: no way? - you're still up?

Riz: Wh– yes?

Riz: Why'd I not be.

page 02

Fig: I me~~ean - that took.

Fig: whole day.

Riz: Yeah?

Fig: 'm beat.

Riz: you should sleep.

page 03

Fig: nah. my guy's still up

Fig: I wanna hang out.

page 04

Riz: That's really nice.

Fig: Hah! - Nobody ever expects an Archdevil rockstar to be nice.

Riz: … yeah. - 's just budget work tho. (the stuff I'm working on) - I've heard it's boring.

page 05

Fig: yeah, but you do it…

Riz: It keeps things going, right? - Nothing happens if nobody sits down and - does the thing.

Fig: That's right… - though. Yeah.

page 06

Fig: sometimes it's someone else who - doesn't want the same thing to happen.

Riz: … - mm.

page 07

Riz (off screen): …It took me a long time to get that not everyone likes doing what I do. - 's probably because you guys are so nice– - or. - kind.

Riz (off screen): to anyone too, not just. - the people you /love/.

page 08

Riz: that's not how it is elsewhere. - The world's– not. hostile. - but 's not like it's kind.

Riz: So I'm doing as much as I can now… 

page 09

Fig: Hey.

Riz: ?

Fig: Go dig some dirt with me.

page 10

Riz: [blank speech bubble] - oh you meant like - actual dirt. (not incriminating information)

Fig: o yea.

Fig: there's clay in the backyard soil. - sometimes when I'm sun deficient or something I go touch dirt for a bit.

page 11

Fig: here u go

page 12

Riz: uh

Fig: now we make a thing! - 'm pretty good at freehanding a bowl.

Fig: I'll show u

page 13

Fig: just– yep, flatten that out as evenly as u can, then–! - actually ur nails'd be so good at cutting out the strip. [larger than usual space] wait. - wait. wait u can carve patterns with them! we HAVE to try

Riz: uh - What. do I carve?

Fig: anything!!!

page 14

Fig: and– yep just seal the inside uh. seam?

Fig: yep that works - okay time's up! all contestant hands up

Riz: [blank speech bubble] - okay - wh. what's next?

Fig: haha - watch this.

(sound effect text): FWOO—MP

page 15

Riz: WH– DON'T JUST DO THAT???

Fig: Now it's fired!

Riz: THAT WAS NOT SAFE

Fig: (actually it's just dry. if u add water rn it'll dissolve)

Fig: ok catch!

Riz: [blank speech bubble] - careful!!

Fig: dw no need haha

page 16

Riz (thought bubble): oh - it's warm…

Fig: now I want you to throw this.

page 17

Fig: u gotta do it - c'mon

page 18

Riz: wh– - It's like 3AM right now

Fig: oh it's not /fired/ fired it's not gonna make a loud noise

Riz: And then just? leave a pile out here?

Fig: pour water over it & it'll be gone I told u

Riz: but

page 19

Fig (off screen): RIz.

page 20

Fig: I've done all this before.

Fig: Can you trust that at least?

page 21

Riz: no, I– - I do. - I trust you.

page 23

Riz: okay what happens now

(sound effect text): glob

page 24

Fig: we do it again!

page 25

Riz: wh. [larger than usual space] What do you mean. (this clay's too wet also)

Fig: see! you're already learning

Fig: [blank speech bubble] - there are flows that are futile to fight. - The world changes.

Fig: Things change.

page 26

Fig: I've learned my lessons with "forevers". - But - as an artist

Fig: I can give you one thing: - You can always do it again.

page 27

Fig: most of everything depends on the rest of the world, - but this. - making new. - that's yours as long as you want it.

page 28

Fig: So?

page 29

Riz: Yeah. - Yeah! - let's make another one.

[elicatkin]