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pillowfort-social · 1 year ago

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Generative AI Policy (February 9, 2024)

As of February 9, 2024, we are updating our Terms of Service to prohibit the following content:

Images created through the use of generative AI programs such as Stable Diffusion, Midjourney, and Dall-E.

This post explains what that means for you. We know it’s impossible to remove all images created by Generative AI on Pillowfort. The goal of this new policy, however, is to send a clear message that we are against the normalization of commercializing and distributing images created by Generative AI. Pillowfort stands in full support of all creatives who make Pillowfort their home. Disclaimer: The following policy was shaped in collaboration with Pillowfort Staff and international university researchers. We are aware that Artificial Intelligence is a rapidly evolving environment. This policy may require revisions in the future to adapt to the changing landscape of Generative AI.

Why is Generative AI Banned on Pillowfort?

Our Terms of Service already prohibits copyright violations, which includes reposting other people’s artwork to Pillowfort without the artist’s permission; and because of how Generative AI draws on a database of images and text that were taken without consent from artists or writers, all Generative AI content can be considered in violation of this rule. We also had an overwhelming response from our user base urging us to take action on prohibiting Generative AI on our platform.

How does Pillowfort define Generative AI?

As of February 9, 2024 we define Generative AI as online tools for producing material based on large data collection that is often gathered without consent or notification from the original creators.

Generative AI tools do not require skill on behalf of the user and effectively replace them in the creative process (ie - little direction or decision making taken directly from the user). Tools that assist creativity don't replace the user. This means the user can still improve their skills and refine over time.

For example: If you ask a Generative AI tool to add a lighthouse to an image, the image of a lighthouse appears in a completed state. Whereas if you used an assistive drawing tool to add a lighthouse to an image, the user decides the tools used to contribute to the creation process and how to apply them.

Examples of Tools Not Allowed on Pillowfort: Adobe Firefly* Dall-E GPT-4 Jasper Chat Lensa Midjourney Stable Diffusion Synthesia

Example of Tools Still Allowed on Pillowfort:

AI Assistant Tools (ie: Google Translate, Grammarly) VTuber Tools (ie: Live3D, Restream, VRChat) Digital Audio Editors (ie: Audacity, Garage Band) Poser & Reference Tools (ie: Poser, Blender) Graphic & Image Editors (ie: Canva, Adobe Photoshop*, Procreate, Medibang, automatic filters from phone cameras)

*While Adobe software such as Adobe Photoshop is not considered Generative AI, Adobe Firefly is fully integrated in various Adobe software and falls under our definition of Generative AI. The use of Adobe Photoshop is allowed on Pillowfort. The creation of an image in Adobe Photoshop using Adobe Firefly would be prohibited on Pillowfort.

Can I use ethical generators?

Due to the evolving nature of Generative AI, ethical generators are not an exception.

Can I still talk about AI?

Yes! Posts, Comments, and User Communities discussing AI are still allowed on Pillowfort.

Can I link to or embed websites, articles, or social media posts containing Generative AI?

Yes. We do ask that you properly tag your post as “AI” and “Artificial Intelligence.”

Can I advertise the sale of digital or virtual goods containing Generative AI?

No. Offsite Advertising of the sale of goods (digital and physical) containing Generative AI on Pillowfort is prohibited.

How can I tell if a software I use contains Generative AI?

A general rule of thumb as a first step is you can try testing the software by turning off internet access and seeing if the tool still works. If the software says it needs to be online there’s a chance it’s using Generative AI and needs to be explored further.

You are also always welcome to contact us at [email protected] if you’re still unsure.

How will this policy be enforced/detected?

Our Team has decided we are NOT using AI-based automated detection tools due to how often they provide false positives and other issues. We are applying a suite of methods sourced from international universities responding to moderating material potentially sourced from Generative AI instead.

How do I report content containing Generative AI Material?

If you are concerned about post(s) featuring Generative AI material, please flag the post for our Site Moderation Team to conduct a thorough investigation. As a reminder, Pillowfort’s existing policy regarding callout posts applies here and harassment / brigading / etc will not be tolerated.

Any questions or clarifications regarding our Generative AI Policy can be sent to [email protected].

#pillowfort.social #pifo #pillowfort.soc #pfstaffalert #tos #policy #ai #please share #february 2024

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andmaybegayer · 11 days ago

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youtube

Rambling: So much of this is just like. It's all the money, you can't get around the money. Engineering is primarily a cost optimisation problem, so is business, where do you buy your parts, how much do you pay your labour. The companies can make equal quality goods cheaper in China because of the industrial base. Western workers don't want to work in manufacturing because it doesn't pay as much or as reliably as other jobs.

I like reading articles and watching videos about factories and a thing you find with a lot of American factories is they're often highly specific niche industries where they don't have much competition or they're really low volume where less intensive manufacturing processes still work or they have big military contracts that give them their base income. Really it's wild how every little engineering shop in the US requires base level security clearance because they make the cable harness for the Hornet or whatever. And crucially, crucially: they employ 100 people. Planning to work for one of these companies is like planning to be a pro baseball player but you make $35/hr.

I studied in South Africa, and I studied electrical engineering, but like. That was my fifth or sixth choice from a personal interest perspective? As a teenager I was really into biochem. I really wanted to work on like. Bioreactor stuff. South Africa has okay industrial chemistry but not that much biochem. So why would I go spend five years getting a biochem Masters and hope I could find a job at one of like six companies. It's a bad move! Once again, baseball player odds! Mostly if you're lucky you'll get to fuck around in a half-related field for a few years and then you'll wind up with some office job that you found because it turns out running tests on paint shearing isn't personally fulfilling enough to make you stay in a lab job.

Hell, even taking the Good Hiring Engineering Job market, it's a goddamn pain in the ass to find any actual engineering work. I applied to dozens of internship positions every semester at engineering firms and workshops and never so much as heard back, whereas I could go to the software job fairs and get two offers and several interviews for a vacation job in a couple weeks. You can swim upstream to get in there but even if you're willing to take the pay cut, engineering jobs are slow moving and slow hiring, and in small departments your professional progression is often gated behind someone retiring or dying.

A while ago someone (was this Reggie? sounds like him EDIT: YEP) was talking about how part of the reason why no one in the US for the past 20 years can do like, epitaxial growth optimisation isn't because there's some philosophical or educational divison, but because anyone committed and driven enough to spend months optimizing that would just put that energy and commitment into going into software or becoming a quant or some other higher yield option. Meanwhile if you're a driven and focussed ladder climber in China there's dozens of factories looking for someone to do exactly this. The people in the West who are so into this that they still do it are often in academia, not industry, and that's an even more competitive and impenetrable sector to get into. Getting a PhD grad job in academic chip manufacturing is miserable, it's basically a six year long interview process that costs you hundreds of thousands of dollars that has a 0.1% chance of panning out.

Actually, I did once do a factory internship, it was my only nepotism internship, at a construction materials factory where my dad was a manager, and it was really interesting work! I had a lot of freedom in a small engineering team and I spent a while understanding a bag filling machine and reading manuals and tuning the control process and talking to floor workers and designing sheet metal parts to improve their jobs. And when I talked to the engineer supervising me I found out he was on a six month contract that wasn't getting renewed and he would be leaving the company basically the same time my internship ended. That company hadn't hired a full-time process engineer in ages, and probably never would if they could avoid it. Not encouraging!

People often say you should get into the trades because they pay well and are material fulfilling work. This is like. It's an elision. Successful tradespeople are in very high demand, but becoming a successful tradesperson is very, very finicky. I worked with a lot of electricians and millwrights and technicians, and for every tech who was successful and running a roaring business there were five guys stuck in eternal apprenticeships or struggling to make a name for themselves in the industry on their own. Some trades are great for this, other trades are 90% training scams where you spend nine months and five thousand dollars on a course that gives you a certificate almost no one cares about.

Every now and then I talk to an installation tech I used to work with who has a bunch of CCTV and security certs he got in the DRC, and he is just absolutely struggling to get by. There's already enough successful companies to serve the demand, why would you take a risk on this fly-by-night? He could find a technical job, and he does, but it's a dead end, everyone wants a base technician forever, they don't want you to upskill and move on. They hire in an external electrician to come in for an hour sign off on your work, and that's all you need.

You can't develop an industrial base unless it's appealing to work in the industrial base. If you're an industrialising nation, the appeal is "It's not farm work and you might get some real money instead of a sack of barley" but in a modern society you need to pay at least as well as the office jobs. If your industrial sector is small it can afford to only hire the most qualified people because it's a labour buyer's market, and that's how you produce a massive knowledge gap.

#Youtube #industrial capacity #engineering #smartereveryday is an interesting example he is a weapons engineer and a weird military guy #which like yeah that's how you do manufacturing in the US. Every little engineering shop needs military clearance #having a weird week re: industry i guess

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mostlysignssomeportents · 8 months ago

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Conspiratorialism as a material phenomenon

I'll be in TUCSON, AZ from November 8-10: I'm the GUEST OF HONOR at the TUSCON SCIENCE FICTION CONVENTION.

I think it behooves us to be a little skeptical of stories about AI driving people to believe wrong things and commit ugly actions. Not that I like the AI slop that is filling up our social media, but when we look at the ways that AI is harming us, slop is pretty low on the list.

The real AI harms come from the actual things that AI companies sell AI to do. There's the AI gun-detector gadgets that the credulous Mayor Eric Adams put in NYC subways, which led to 2,749 invasive searches and turned up zero guns:

https://www.cbsnews.com/newyork/news/nycs-subway-weapons-detector-pilot-program-ends/

Any time AI is used to predict crime – predictive policing, bail determinations, Child Protective Services red flags – they magnify the biases already present in these systems, and, even worse, they give this bias the veneer of scientific neutrality. This process is called "empiricism-washing," and you know you're experiencing it when you hear some variation on "it's just math, math can't be racist":

https://pluralistic.net/2020/06/23/cryptocidal-maniacs/#phrenology

When AI is used to replace customer service representatives, it systematically defrauds customers, while providing an "accountability sink" that allows the company to disclaim responsibility for the thefts:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

When AI is used to perform high-velocity "decision support" that is supposed to inform a "human in the loop," it quickly overwhelms its human overseer, who takes on the role of "moral crumple zone," pressing the "OK" button as fast as they can. This is bad enough when the sacrificial victim is a human overseeing, say, proctoring software that accuses remote students of cheating on their tests:

https://pluralistic.net/2022/02/16/unauthorized-paper/#cheating-anticheat

But it's potentially lethal when the AI is a transcription engine that doctors have to use to feed notes to a data-hungry electronic health record system that is optimized to commit health insurance fraud by seeking out pretenses to "upcode" a patient's treatment. Those AIs are prone to inventing things the doctor never said, inserting them into the record that the doctor is supposed to review, but remember, the only reason the AI is there at all is that the doctor is being asked to do so much paperwork that they don't have time to treat their patients:

https://apnews.com/article/ai-artificial-intelligence-health-business-90020cdf5fa16c79ca2e5b6c4c9bbb14

My point is that "worrying about AI" is a zero-sum game. When we train our fire on the stuff that isn't important to the AI stock swindlers' business-plans (like creating AI slop), we should remember that the AI companies could halt all of that activity and not lose a dime in revenue. By contrast, when we focus on AI applications that do the most direct harm – policing, health, security, customer service – we also focus on the AI applications that make the most money and drive the most investment.

AI hasn't attracted hundreds of billions in investment capital because investors love AI slop. All the money pouring into the system – from investors, from customers, from easily gulled big-city mayors – is chasing things that AI is objectively very bad at and those things also cause much more harm than AI slop. If you want to be a good AI critic, you should devote the majority of your focus to these applications. Sure, they're not as visually arresting, but discrediting them is financially arresting, and that's what really matters.

All that said: AI slop is real, there is a lot of it, and just because it doesn't warrant priority over the stuff AI companies actually sell, it still has cultural significance and is worth considering.

AI slop has turned Facebook into an anaerobic lagoon of botshit, just the laziest, grossest engagement bait, much of it the product of rise-and-grind spammers who avidly consume get rich quick "courses" and then churn out a torrent of "shrimp Jesus" and fake chainsaw sculptures:

https://www.404media.co/email/1cdf7620-2e2f-4450-9cd9-e041f4f0c27f/

For poor engagement farmers in the global south chasing the fractional pennies that Facebook shells out for successful clickbait, the actual content of the slop is beside the point. These spammers aren't necessarily tuned into the psyche of the wealthy-world Facebook users who represent Meta's top monetization subjects. They're just trying everything and doubling down on anything that moves the needle, A/B splitting their way into weird, hyper-optimized, grotesque crap:

https://www.404media.co/facebook-is-being-overrun-with-stolen-ai-generated-images-that-people-think-are-real/

In other words, Facebook's AI spammers are laying out a banquet of arbitrary possibilities, like the letters on a Ouija board, and the Facebook users' clicks and engagement are a collective ideomotor response, moving the algorithm's planchette to the options that tug hardest at our collective delights (or, more often, disgusts).

So, rather than thinking of AI spammers as creating the ideological and aesthetic trends that drive millions of confused Facebook users into condemning, praising, and arguing about surreal botshit, it's more true to say that spammers are discovering these trends within their subjects' collective yearnings and terrors, and then refining them by exploring endlessly ramified variations in search of unsuspected niches.

(If you know anything about AI, this may remind you of something: a Generative Adversarial Network, in which one bot creates variations on a theme, and another bot ranks how closely the variations approach some ideal. In this case, the spammers are the generators and the Facebook users they evince reactions from are the discriminators)

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

I got to thinking about this today while reading User Mag, Taylor Lorenz's superb newsletter, and her reporting on a new AI slop trend, "My neighbor’s ridiculous reason for egging my car":

https://www.usermag.co/p/my-neighbors-ridiculous-reason-for

The "egging my car" slop consists of endless variations on a story in which the poster (generally a figure of sympathy, canonically a single mother of newborn twins) complains that her awful neighbor threw dozens of eggs at her car to punish her for parking in a way that blocked his elaborate Hallowe'en display. The text is accompanied by an AI-generated image showing a modest family car that has been absolutely plastered with broken eggs, dozens upon dozens of them.

According to Lorenz, variations on this slop are topping very large Facebook discussion forums totalling millions of users, like "Movie Character…,USA Story, Volleyball Women, Top Trends, Love Style, and God Bless." These posts link to SEO sites laden with programmatic advertising.

The funnel goes:

i. Create outrage and hence broad reach;

ii, A small percentage of those who see the post will click through to the SEO site;

iii. A small fraction of those users will click a low-quality ad;

iv. The ad will pay homeopathic sub-pennies to the spammer.

The revenue per user on this kind of scam is next to nothing, so it only works if it can get very broad reach, which is why the spam is so designed for engagement maximization. The more discussion a post generates, the more users Facebook recommends it to.

These are very effective engagement bait. Almost all AI slop gets some free engagement in the form of arguments between users who don't know they're commenting an AI scam and people hectoring them for falling for the scam. This is like the free square in the middle of a bingo card.

Beyond that, there's multivalent outrage: some users are furious about food wastage; others about the poor, victimized "mother" (some users are furious about both). Not only do users get to voice their fury at both of these imaginary sins, they can also argue with one another about whether, say, food wastage even matters when compared to the petty-minded aggression of the "perpetrator." These discussions also offer lots of opportunity for violent fantasies about the bad guy getting a comeuppance, offers to travel to the imaginary AI-generated suburb to dole out a beating, etc. All in all, the spammers behind this tedious fiction have really figured out how to rope in all kinds of users' attention.

Of course, the spammers don't get much from this. There isn't such a thing as an "attention economy." You can't use attention as a unit of account, a medium of exchange or a store of value. Attention – like everything else that you can't build an economy upon, such as cryptocurrency – must be converted to money before it has economic significance. Hence that tooth-achingly trite high-tech neologism, "monetization."

The monetization of attention is very poor, but AI is heavily subsidized or even free (for now), so the largest venture capital and private equity funds in the world are spending billions in public pension money and rich peoples' savings into CO2 plumes, GPUs, and botshit so that a bunch of hustle-culture weirdos in the Pacific Rim can make a few dollars by tricking people into clicking through engagement bait slop – twice.

The slop isn't the point of this, but the slop does have the useful function of making the collective ideomotor response visible and thus providing a peek into our hopes and fears. What does the "egging my car" slop say about the things that we're thinking about?

Lorenz cites Jamie Cohen, a media scholar at CUNY Queens, who points out that subtext of this slop is "fear and distrust in people about their neighbors." Cohen predicts that "the next trend, is going to be stranger and more violent.”

This feels right to me. The corollary of mistrusting your neighbors, of course, is trusting only yourself and your family. Or, as Margaret Thatcher liked to say, "There is no such thing as society. There are individual men and women and there are families."

We are living in the tail end of a 40 year experiment in structuring our world as though "there is no such thing as society." We've gutted our welfare net, shut down or privatized public services, all but abolished solidaristic institutions like unions.

This isn't mere aesthetics: an atomized society is far more hospitable to extreme wealth inequality than one in which we are all in it together. When your power comes from being a "wise consumer" who "votes with your wallet," then all you can do about the climate emergency is buy a different kind of car – you can't build the public transit system that will make cars obsolete.

When you "vote with your wallet" all you can do about animal cruelty and habitat loss is eat less meat. When you "vote with your wallet" all you can do about high drug prices is "shop around for a bargain." When you vote with your wallet, all you can do when your bank forecloses on your home is "choose your next lender more carefully."

Most importantly, when you vote with your wallet, you cast a ballot in an election that the people with the thickest wallets always win. No wonder those people have spent so long teaching us that we can't trust our neighbors, that there is no such thing as society, that we can't have nice things. That there is no alternative.

The commercial surveillance industry really wants you to believe that they're good at convincing people of things, because that's a good way to sell advertising. But claims of mind-control are pretty goddamned improbable – everyone who ever claimed to have managed the trick was lying, from Rasputin to MK-ULTRA:

https://pluralistic.net/HowToDestroySurveillanceCapitalism

Rather than seeing these platforms as convincing people of things, we should understand them as discovering and reinforcing the ideology that people have been driven to by material conditions. Platforms like Facebook show us to one another, let us form groups that can imperfectly fill in for the solidarity we're desperate for after 40 years of "no such thing as society."

The most interesting thing about "egging my car" slop is that it reveals that so many of us are convinced of two contradictory things: first, that everyone else is a monster who will turn on you for the pettiest of reasons; and second, that we're all the kind of people who would stick up for the victims of those monsters.

Tor Books as just published two new, free LITTLE BROTHER stories: VIGILANT, about creepy surveillance in distance education; and SPILL, about oil pipelines and indigenous landback.

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/2024/10/29/hobbesian-slop/#cui-bono

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 #taylor lorenz #conspiratorialism #conspiracy fantasy #mind control #a paradise built in hell #solnit #ai slop #ai #disinformation #materialism #doppelganger #naomi klein

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ikiprian · 1 year ago

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Barbara Gordon's Coding & Computer Cram School is a popular YouTube series. Tucker Foley is a star student.

Barbara Gordon's Cram School posts free online courses for both coding and computer engineering. Think Crash Course in terms of entertainment, but college lecture in terms of depth. Hundreds of thousands of viewers flock to it— students who missed a class, people looking to add new skills to a resume, even simple hobbyists. It’s a project Barbara’s proud of.

Sometimes, when she wants to relax, she’ll even hop in the comments and spend an afternoon troubleshooting a viewer’s project with them.

User “Fryer-Tuck” has especially interesting ones. Barbara finds herself seeking out his comments, checking in on whatever this crazy kid is making next. An app for collecting GPS pings and assembling them on a map in real-time, an algorithm that connects geographic points to predict something’s movement taking a hundred other variables into account, simplified versions of incredibly complex homemade programs so they can run on incredibly limited CPU’s.

(Barbara wants to buy the kid a PC. It seems he’s got natural talent, but he keeps making reference to a PDA. Talk about 90’s! This guy’s hardware probably predates his birth.)

She chats with him more and more, switching to less public PM threads, and eventually, he opens up. His latest project, though, is not something Barbara has personal experience with.

FT: so if you found, hypothetically, a mysterious glowing substance that affects tech in weird and wacky ways that could totally have potential but might be vaguely sentient/otherworldly…. what would you do and how would you experiment with it. safely, of course. and hypothetically

BG: I’d make sure all my tests were in disposable devices and quarantined programs to keep it from infecting my important stuff. Dare I ask… how weird and wacky is it?

FT: uhhh. theoretically, a person composed of this substance once used it to enter a video game. like physical body, into the computer, onto the screen? moving around and talking and fighting enemies within the game?

FT: its been experimented with before, but not on any tech with a brain. just basic shields and blasters and stuff, its an energy source. also was put in a car once

FT: i wanna see how it affects software, yk? bc i already know it can. mess around and see how far i can push it

BG: […]

FT: … barbara?

BG: Sorry, thinking. Would you mind sharing more details? You said “blasters?”

Honestly. Kid genius with access to some truly wacky materials and even wackier weapons, she needs to start a file on him before he full sends to either hero or villain.

[OR: Tucker is a self-taught hacker, but if he were to credit a teacher, he'd name Barbara Gordon's Coding & Computer Cram School! He's even caught the attention of Dr. Gordon herself. She's full of sage advice, and with how she preaches the value of a good VPN, he's sure she's not pro-government. Maybe she'll help him as he studies the many applications of ecto-tech!]

#she does end up sending tucker a PC lol #and after she learns he has experience supporting a superhero team maybe pushes his name forward to WEs outreach program for r&d potentials #picks him up by the scruff and says MY coding buddy #also fun fact she had a phd in library science at one point. i like that about her i think we should talk about it a little more #also tucker was making a ghost reporting & tracking app for amity parkers #dpxdc #dcxdp #barbara gordon #tucker foley #prompt #kipwrite

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boaillustration · 5 months ago

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The Artisul team was kind enough to send me their Artisul D16 display tablet to review! Timelapse and review can be found under the read more.

I have been using the same model of display tablet for over 10 years now (a Wacom Cintiq 22HD) and feel like I might be set in my ways, so getting the chance to try a different brand of display tablet was also a new experience for me!

The Unboxing

The tablet arrived in high-quality packaging with enough protection that none of the components get scratched or banged up in the shipping process. I was pleasantly surprised that additionally to the tablet, pen, stand, cables and nibs it also included a smudge guard glove and a pen case.

The stand is very light-weight and I was at first worried that it would not be able to hold up the tablet safely, but it held up really well. I appreciated that it offered steeper levels of inclination for the tablet, since I have seen plenty other display tablets who don’t offer that level of ergonomics for artists. My only gripe is that you can’t anchor the tablet to the stand. It will rest on the stand and can be easily taken on or off, but that also means that you can bump into it and dislodge it from the stand if you aren’t careful. It would require significant force, but as a cat owner, I know that a scenario like that is more likely than I’d like.

Another thing I noticed is how light the tablet is in comparison to my Cintiq. Granted, my Cintiq is larger (22 inches vs the 15.8 inches of the Artisul D16), but the Artisul D16 comes in at about 1.5kg of weight. While I don’t consider display tablets that require a PC and an outlet to work really portable, it would be a lot easier to move with the Artisul D16 from one space to another. In comparison, my Cintiq weighs in at a proud 8.5kg, making it a chore to move around. I have it hooked up to a monitor stand to be able to move it more easily across my desk.

The Setup

The setup of the tablet was quick as well, with only minor hiccups. The drivers installed quickly and basic setup was done in a matter of minutes. That doesn’t mean it came without issues: the cursor vanished as soon as I hovered over the driver window, making it a guessing game where I would be clicking and the pen calibration refused to work on the tablet screen and instead always defaulted to my regular screen. I ended up using the out of the box pen calibration for my test drawing which worked well enough.

The tablet comes with customizable hot-keys that you can reassign in the driver software. I did not end up using the hot-keys, since I use a Razer Tartarus for all my shortcuts, but I did play around with them to get a feel for them. The zoom wheel had a very satisfying haptic feel to it which I really enjoyed, and as far as I could tell, you can map a lot of shortcuts to the buttons, including with modifier keys like ctrl, shift, alt and the win key. I noticed that there was no option to map numpad keys to these buttons, but I was informed by my stream viewers that very few people have a full size keyboard with a numpad anymore.

The pen comes with two buttons as well. Unlike the hot-keys on the side of the tablet, these are barely customizable. I was only able to assign mouse clicks to them (right, left, scroll wheel click, etc) and no other hotkeys. I have the alt key mapped to my pen button on my Cintiq, enabling me to color pick with a single click of the pen. The other button is mapped to the tablet menu for easy display switches. Not having this level of customization was a bit of a bummer, but I just ended up mapping the alt key to a new button on my Razer Tartarus and moved on.

The pen had a very similar size to my Wacom pen, but was significantly lighter. It also rattled slightly when shook, but after inspection this was just the buttons clicking against the outer case and no internal issues. The pen is made from one material, a smooth plastic finish. I would have liked for there to be a rubber-like material at the grip like on the Wacom pen for better handling, but it still worked fine without it.

Despite not being able to calibrate the pen for the display tablet, the cursor offset was minimal. It took me a while at the beginning to get used to the slight difference to my current tablet, but it was easy to get used to it and I was able to smoothly ink and color with the tablet. The screen surface was very smooth, reminding me more of an iPad surface. The included smudge guard glove helped mitigate any slipping or sliding this might have caused, enabling me to draw smoothly. Like with the cursor offset, it took me a while to get used to the different pressure sensitivity of the tablet, but I adapted quickly.

So what do I think of it?

Overall, drawing felt different on this tablet, but I can easily see myself getting used to the quirks of the tablet with time. Most of the issues I had were QoL things I am used to from my existing tablet.

But I think that’s where the most important argument for the tablet comes in: the price.

I love my Cintiq. I can do professional grade work on it and I rebought the same model after my old one got screen issues, I liked it that much. But it also costs more than a 1000 € still, even after being on the market for over 10 years (I bought it for about 1.500 € refurbished in 2014, for reference). The Artisul D16 on the other hand runs you a bit more than 200€. That is a significant price difference! I often get asked by aspiring artists what tools I use and while I am always honest with them, I also preface it by saying that they should not invest in a Cintiq if they are just starting out. They are high quality professional tools and have a price point that reflects that. You do not need these expensive tools to create art. You can get great results on a lot cheaper alternatives! I do this for a living so I can justify paying extra for the QoL upgrades the Cintiq offers me, but I have no illusion that they are an accessible tool for most people.

I can recommend the Artisul D16 as a beginner screen tablet for people who are just getting into art or want to try a display tablet for once. I wouldn’t give up my Cintiq for it, but I can appreciate the value it offers for the competitive price point. If you want to get an Artisul D16 for yourself, you can click this link to check out their shop!

AMAZON.US: https://www.amazon.com/dp/B07TQLGC81

AMAZON.JP: https://www.amazon.co.jp/dp/B07T6ZT84V

AMAZON.MX: https://www.amazon.com.mx/dp/B07T6ZT84V

Once again thank you to the Artisul team for giving me the opportunity to review their display tablet!

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antoniosvivaldi · 1 year ago

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Neural Filters Tutorial for Gifmakers by @antoniosvivaldi

Hi everyone! In light of my blog’s 10th birthday, I’m delighted to reveal my highly anticipated gifmaking tutorial using Neural Filters - a very powerful collection of filters that really broadened my scope in gifmaking over the past 12 months.

Before I get into this tutorial, I want to thank @laurabenanti, @maines , @cobbbvanth, and @cal-kestis for their unconditional support over the course of my journey of investigating the Neural Filters & their valuable inputs on the rendering performance!

In this tutorial, I will outline what the Photoshop Neural Filters do and how I use them in my workflow - multiple examples will be provided for better clarity. Finally, I will talk about some known performance issues with the filters & some feasible workarounds.

Tutorial Structure:

Meet the Neural Filters: What they are and what they do

Why I use Neural Filters? How I use Neural Filters in my giffing workflow

Getting started: The giffing workflow in a nutshell and installing the Neural Filters

Applying Neural Filters onto your gif: Making use of the Neural Filters settings; with multiple examples

Testing your system: recommended if you’re using Neural Filters for the first time

Rendering performance: Common Neural Filters performance issues & workarounds

For quick reference, here are the examples that I will show in this tutorial:

Example 1: Image Enhancement | improving the image quality of gifs prepared from highly compressed video files

Example 2: Facial Enhancement | enhancing an individual's facial features

Example 3: Colour Manipulation | colourising B&W gifs for a colourful gifset

Example 4: Artistic effects | transforming landscapes & adding artistic effects onto your gifs

Example 5: Putting it all together | my usual giffing workflow using Neural Filters

What you need & need to know:

Software: Photoshop 2021 or later (recommended: 2023 or later)*

Hardware: 8GB of RAM; having a supported GPU is highly recommended*

Difficulty: Advanced (requires a lot of patience); knowledge in gifmaking and using video timeline assumed

Key concepts: Smart Layer / Smart Filters

Benchmarking your system: Neural Filters test files**

Supplementary materials: Tutorial Resources / Detailed findings on rendering gifs with Neural Filters + known issues***

*I primarily gif on an M2 Max MacBook Pro that's running Photoshop 2024, but I also have experiences gifmaking on few other Mac models from 2012 ~ 2023.

**Using Neural Filters can be resource intensive, so it’s helpful to run the test files yourself. I’ll outline some known performance issues with Neural Filters and workarounds later in the tutorial.

***This supplementary page contains additional Neural Filters benchmark tests and instructions, as well as more information on the rendering performance (for Apple Silicon-based devices) when subject to heavy Neural Filters gifmaking workflows

Tutorial under the cut. Like / Reblog this post if you find this tutorial helpful. Linking this post as an inspo link will also be greatly appreciated!

1. Meet the Neural Filters!

Neural Filters are powered by Adobe's machine learning engine known as Adobe Sensei. It is a non-destructive method to help streamline workflows that would've been difficult and/or tedious to do manually.

Here are the Neural Filters available in Photoshop 2024:

Skin Smoothing: Removes blemishes on the skin

Smart Portrait: This a cloud-based filter that allows you to change the mood, facial age, hair, etc using the sliders+

Makeup Transfer: Applies the makeup (from a reference image) to the eyes & mouth area of your image

Landscape Mixer: Transforms the landscape of your image (e.g. seasons & time of the day, etc), based on the landscape features of a reference image

Style Transfer: Applies artistic styles e.g. texturings (from a reference image) onto your image

Harmonisation: Applies the colour balance of your image based on the lighting of the background image+

Colour Transfer: Applies the colour scheme (of a reference image) onto your image

Colourise: Adds colours onto a B&W image

Super Zoom: Zoom / crop an image without losing resolution+

Depth Blur: Blurs the background of the image

JPEG Artefacts Removal: Removes artefacts caused by JPEG compression

Photo Restoration: Enhances image quality & facial details

+These three filters aren't used in my giffing workflow. The cloud-based nature of Smart Portrait leads to disjointed looking frames. For Harmonisation, applying this on a gif causes Neural Filter timeout error. Finally, Super Zoom does not currently support output as a Smart Filter

If you're running Photoshop 2021 or earlier version of Photoshop 2022, you will see a smaller selection of Neural Filters:

Things to be aware of:

You can apply up to six Neural Filters at the same time

Filters where you can use your own reference images: Makeup Transfer (portraits only), Landscape Mixer, Style Transfer (not available in Photoshop 2021), and Colour Transfer

Later iterations of Photoshop 2023 & newer: The first three default presets for Landscape Mixer and Colour Transfer are currently broken.

2. Why I use Neural Filters?

Here are my four main Neural Filters use cases in my gifmaking process. In each use case I'll list out the filters that I use:

Enhancing Image Quality:

Common wisdom is to find the highest quality video to gif from for a media release & avoid YouTube whenever possible. However for smaller / niche media (e.g. new & upcoming musical artists), prepping gifs from highly compressed YouTube videos is inevitable.

So how do I get around with this? I have found Neural Filters pretty handy when it comes to both correcting issues from video compression & enhancing details in gifs prepared from these highly compressed video files.

Filters used: JPEG Artefacts Removal / Photo Restoration

Facial Enhancement:

When I prepare gifs from highly compressed videos, something I like to do is to enhance the facial features. This is again useful when I make gifsets from compressed videos & want to fill up my final panel with a close-up shot.

Filters used: Skin Smoothing / Makeup Transfer / Photo Restoration (Facial Enhancement slider)

Colour Manipulation:

Neural Filters is a powerful way to do advanced colour manipulation - whether I want to quickly transform the colour scheme of a gif or transform a B&W clip into something colourful.

Filters used: Colourise / Colour Transfer

Artistic Effects:

This is one of my favourite things to do with Neural Filters! I enjoy using the filters to create artistic effects by feeding textures that I've downloaded as reference images. I also enjoy using these filters to transform the overall the atmosphere of my composite gifs. The gifsets where I've leveraged Neural Filters for artistic effects could be found under this tag on usergif.

Filters used: Landscape Mixer / Style Transfer / Depth Blur

How I use Neural Filters over different stages of my gifmaking workflow:

I want to outline how I use different Neural Filters throughout my gifmaking process. This can be roughly divided into two stages:

Stage I: Enhancement and/or Colourising | Takes place early in my gifmaking process. I process a large amount of component gifs by applying Neural Filters for enhancement purposes and adding some base colourings.++

Stage II: Artistic Effects & more Colour Manipulation | Takes place when I'm assembling my component gifs in the big PSD / PSB composition file that will be my final gif panel.

I will walk through this in more detail later in the tutorial.

++I personally like to keep the size of the component gifs in their original resolution (a mixture of 1080p & 4K), to get best possible results from the Neural Filters and have more flexibility later on in my workflow. I resize & sharpen these gifs after they're placed into my final PSD composition files in Tumblr dimensions.

3. Getting started

The essence is to output Neural Filters as a Smart Filter on the smart object when working with the Video Timeline interface. Your workflow will contain the following steps:

Prepare your gif

In the frame animation interface, set the frame delay to 0.03s and convert your gif to the Video Timeline

In the Video Timeline interface, go to Filter > Neural Filters and output to a Smart Filter

Flatten or render your gif (either approach is fine). To flatten your gif, play the "flatten" action from the gif prep action pack. To render your gif as a .mov file, go to File > Export > Render Video & use the following settings.

Setting up:

o.) To get started, prepare your gifs the usual way - whether you screencap or clip videos. You should see your prepared gif in the frame animation interface as follows:

Note: As mentioned earlier, I keep the gifs in their original resolution right now because working with a larger dimension document allows more flexibility later on in my workflow. I have also found that I get higher quality results working with more pixels. I eventually do my final sharpening & resizing when I fit all of my component gifs to a main PSD composition file (that's of Tumblr dimension).

i.) To use Smart Filters, convert your gif to a Smart Video Layer.

As an aside, I like to work with everything in 0.03s until I finish everything (then correct the frame delay to 0.05s when I upload my panels onto Tumblr).

For convenience, I use my own action pack to first set the frame delay to 0.03s (highlighted in yellow) and then convert to timeline (highlighted in red) to access the Video Timeline interface. To play an action, press the play button highlighted in green.

Once you've converted this gif to a Smart Video Layer, you'll see the Video Timeline interface as follows:

ii.) Select your gif (now as a Smart Layer) and go to Filter > Neural Filters

Installing Neural Filters:

Install the individual Neural Filters that you want to use. If the filter isn't installed, it will show a cloud symbol (highlighted in yellow). If the filter is already installed, it will show a toggle button (highlighted in green)

When you toggle this button, the Neural Filters preview window will look like this (where the toggle button next to the filter that you use turns blue)

4. Using Neural Filters

Once you have installed the Neural Filters that you want to use in your gif, you can toggle on a filter and play around with the sliders until you're satisfied. Here I'll walkthrough multiple concrete examples of how I use Neural Filters in my giffing process.

Example 1: Image enhancement | sample gifset

This is my typical Stage I Neural Filters gifmaking workflow. When giffing older or more niche media releases, my main concern is the video compression that leads to a lot of artefacts in the screencapped / video clipped gifs.

To fix the artefacts from compression, I go to Filter > Neural Filters, and toggle JPEG Artefacts Removal filter. Then I choose the strength of the filter (boxed in green), output this as a Smart Filter (boxed in yellow), and press OK (boxed in red).

Note: The filter has to be fully processed before you could press the OK button!

After applying the Neural Filters, you'll see "Neural Filters" under the Smart Filters property of the smart layer

Flatten / render your gif

Example 2: Facial enhancement | sample gifset

This is my routine use case during my Stage I Neural Filters gifmaking workflow. For musical artists (e.g. Maisie Peters), YouTube is often the only place where I'm able to find some videos to prepare gifs from. However even the highest resolution video available on YouTube is highly compressed.

Go to Filter > Neural Filters and toggle on Photo Restoration. If Photoshop recognises faces in the image, there will be a "Facial Enhancement" slider under the filter settings.

Play around with the Photo Enhancement & Facial Enhancement sliders. You can also expand the "Adjustment" menu make additional adjustments e.g. remove noises and reducing different types of artefacts.

Once you're happy with the results, press OK and then flatten / render your gif.

Example 3: Colour Manipulation | sample gifset

Want to make a colourful gifset but the source video is in B&W? This is where Colourise from Neural Filters comes in handy! This same colourising approach is also very helpful for colouring poor-lit scenes as detailed in this tutorial.

Here's a B&W gif that we want to colourise:

Highly recommended: add some adjustment layers onto the B&W gif to improve the contrast & depth. This will give you higher quality results when you colourise your gif.

Go to Filter > Neural Filters and toggle on Colourise.

Make sure "Auto colour image" is enabled.

Play around with further adjustments e.g. colour balance, until you're satisfied then press OK.

Important: When you colourise a gif, you need to double check that the resulting skin tone is accurate to real life. I personally go to Google Images and search up photoshoots of the individual / character that I'm giffing for quick reference.

Add additional adjustment layers until you're happy with the colouring of the skin tone.

Once you're happy with the additional adjustments, flatten / render your gif. And voila!

Note: For Colour Manipulation, I use Colourise in my Stage I workflow and Colour Transfer in my Stage II workflow to do other types of colour manipulations (e.g. transforming the colour scheme of the component gifs)

Example 4: Artistic Effects | sample gifset

This is where I use Neural Filters for the bulk of my Stage II workflow: the most enjoyable stage in my editing process!

Normally I would be working with my big composition files with multiple component gifs inside it. To begin the fun, drag a component gif (in PSD file) to the main PSD composition file.

Resize this gif in the composition file until you're happy with the placement

Duplicate this gif. Sharpen the bottom layer (highlighted in yellow), and then select the top layer (highlighted in green) & go to Filter > Neural Filters

I like to use Style Transfer and Landscape Mixer to create artistic effects from Neural Filters. In this particular example, I've chosen Landscape Mixer

Select a preset or feed a custom image to the filter (here I chose a texture that I've on my computer)

Play around with the different sliders e.g. time of the day / seasons

Important: uncheck "Harmonise Subject" & "Preserve Subject" - these two settings are known to cause performance issues when you render a multiframe smart object (e.g. for a gif)

Once you're happy with the artistic effect, press OK

To ensure you preserve the actual subject you want to gif (bc Preserve Subject is unchecked), add a layer mask onto the top layer (with Neural Filters) and mask out the facial region. You might need to play around with the Layer Mask Position keyframes or Rotoscope your subject in the process.

After you're happy with the masking, flatten / render this composition file and voila!

Example 5: Putting it all together | sample gifset

Let's recap on the Neural Filters gifmaking workflow and where Stage I and Stage II fit in my gifmaking process:

i. Preparing & enhancing the component gifs

Prepare all component gifs and convert them to smart layers

Stage I: Add base colourings & apply Photo Restoration / JPEG Artefacts Removal to enhance the gif's image quality

Flatten all of these component gifs and convert them back to Smart Video Layers (this process can take a lot of time)

Some of these enhanced gifs will be Rotoscoped so this is done before adding the gifs to the big PSD composition file

ii. Setting up the big PSD composition file

Make a separate PSD composition file (Ctrl / Cmmd + N) that's of Tumblr dimension (e.g. 540px in width)

Drag all of the component gifs used into this PSD composition file

Enable Video Timeline and trim the work area

In the composition file, resize / move the component gifs until you're happy with the placement & sharpen these gifs if you haven't already done so

Duplicate the layers that you want to use Neural Filters on

iii. Working with Neural Filters in the PSD composition file

Stage II: Neural Filters to create artistic effects / more colour manipulations!

Mask the smart layers with Neural Filters to both preserve the subject and avoid colouring issues from the filters

Flatten / render the PSD composition file: the more component gifs in your composition file, the longer the exporting will take. (I prefer to render the composition file into a .mov clip to prevent overriding a file that I've spent effort putting together.)

Note: In some of my layout gifsets (where I've heavily used Neural Filters in Stage II), the rendering time for the panel took more than 20 minutes. This is one of the rare instances where I was maxing out my computer's memory.

Useful things to take note of:

Important: If you're using Neural Filters for Colour Manipulation or Artistic Effects, you need to take a lot of care ensuring that the skin tone of nonwhite characters / individuals is accurately coloured

Use the Facial Enhancement slider from Photo Restoration in moderation, if you max out the slider value you risk oversharpening your gif later on in your gifmaking workflow

You will get higher quality results from Neural Filters by working with larger image dimensions: This gives Neural Filters more pixels to work with. You also get better quality results by feeding higher resolution reference images to the Neural Filters.

Makeup Transfer is more stable when the person / character has minimal motion in your gif

You might get unexpected results from Landscape Mixer if you feed a reference image that don't feature a distinctive landscape. This is not always a bad thing: for instance, I have used this texture as a reference image for Landscape Mixer, to create the shimmery effects as seen in this gifset

5. Testing your system

If this is the first time you're applying Neural Filters directly onto a gif, it will be helpful to test out your system yourself. This will help:

Gauge the expected rendering time that you'll need to wait for your gif to export, given specific Neural Filters that you've used

Identify potential performance issues when you render the gif: this is important and will determine whether you will need to fully playback your gif before flattening / rendering the file.

Understand how your system's resources are being utilised: Inputs from Windows PC users & Mac users alike are welcome!

About the Neural Filters test files:

Contains six distinct files, each using different Neural Filters

Two sizes of test files: one copy in full HD (1080p) and another copy downsized to 540px

One folder containing the flattened / rendered test files

How to use the Neural Filters test files:

What you need:

Photoshop 2022 or newer (recommended: 2023 or later)

Install the following Neural Filters: Landscape Mixer / Style Transfer / Colour Transfer / Colourise / Photo Restoration / Depth Blur

Recommended for some Apple Silicon-based MacBook Pro models: Enable High Power Mode

How to use the test files:

For optimal performance, close all background apps

Open a test file

Flatten the test file into frames (load this action pack & play the “flatten” action)

Take note of the time it takes until you’re directed to the frame animation interface

Compare the rendered frames to the expected results in this folder: check that all of the frames look the same. If they don't, you will need to fully playback the test file in full before flattening the file.†

Re-run the test file without the Neural Filters and take note of how long it takes before you're directed to the frame animation interface

Recommended: Take note of how your system is utilised during the rendering process (more info here for MacOS users)

†This is a performance issue known as flickering that I will discuss in the next section. If you come across this, you'll have to playback a gif where you've used Neural Filters (on the video timeline) in full, prior to flattening / rendering it.

Factors that could affect the rendering performance / time (more info):

The number of frames, dimension, and colour bit depth of your gif

If you use Neural Filters with facial recognition features, the rendering time will be affected by the number of characters / individuals in your gif

Most resource intensive filters (powered by largest machine learning models): Landscape Mixer / Photo Restoration (with Facial Enhancement) / and JPEG Artefacts Removal

Least resource intensive filters (smallest machine learning models): Colour Transfer / Colourise

The number of Neural Filters that you apply at once / The number of component gifs with Neural Filters in your PSD file

Your system: system memory, the GPU, and the architecture of the system's CPU+++

+++ Rendering a gif with Neural Filters demands a lot of system memory & GPU horsepower. Rendering will be faster & more reliable on newer computers, as these systems have CPU & GPU with more modern instruction sets that are geared towards machine learning-based tasks.

Additionally, the unified memory architecture of Apple Silicon M-series chips are found to be quite efficient at processing Neural Filters.

6. Performance issues & workarounds

Common Performance issues:

I will discuss several common issues related to rendering or exporting a multi-frame smart object (e.g. your composite gif) that uses Neural Filters below. This is commonly caused by insufficient system memory and/or the GPU.

Flickering frames: in the flattened / rendered file, Neural Filters aren't applied to some of the frames+-+

Scrambled frames: the frames in the flattened / rendered file isn't in order

Neural Filters exceeded the timeout limit error: this is normally a software related issue

Long export / rendering time: long rendering time is expected in heavy workflows

Laggy Photoshop / system interface: having to wait quite a long time to preview the next frame on the timeline

Issues with Landscape Mixer: Using the filter gives ill-defined defined results (Common in older systems)--

Workarounds:

Workarounds that could reduce unreliable rendering performance & long rendering time:

Close other apps running in the background

Work with smaller colour bit depth (i.e. 8-bit rather than 16-bit)

Downsize your gif before converting to the video timeline-+-

Try to keep the number of frames as low as possible

Avoid stacking multiple Neural Filters at once. Try applying & rendering the filters that you want one by one

Specific workarounds for specific issues:

How to resolve flickering frames: If you come across flickering, you will need to playback your gif on the video timeline in full to find the frames where the filter isn't applied. You will need to select all of the frames to allow Photoshop to reprocess these, before you render your gif.+-+

What to do if you come across Neural Filters timeout error? This is caused by several incompatible Neural Filters e.g. Harmonisation (both the filter itself and as a setting in Landscape Mixer), Scratch Reduction in Photo Restoration, and trying to stack multiple Neural Filters with facial recognition features.

If the timeout error is caused by stacking multiple filters, a feasible workaround is to apply the Neural Filters that you want to use one by one over multiple rendering sessions, rather all of them in one go.

+-+This is a very common issue for Apple Silicon-based Macs. Flickering happens when a gif with Neural Filters is rendered without being previously played back in the timeline.

This issue is likely related to the memory bandwidth & the GPU cores of the chips, because not all Apple Silicon-based Macs exhibit this behaviour (i.e. devices equipped with Max / Ultra M-series chips are mostly unaffected).

-- As mentioned in the supplementary page, Landscape Mixer requires a lot of GPU horsepower to be fully rendered. For older systems (pre-2017 builds), there are no workarounds other than to avoid using this filter.

-+- For smaller dimensions, the size of the machine learning models powering the filters play an outsized role in the rendering time (i.e. marginal reduction in rendering time when downsizing 1080p file to Tumblr dimensions). If you use filters powered by larger models e.g. Landscape Mixer and Photo Restoration, you will need to be very patient when exporting your gif.

7. More useful resources on using Neural Filters

Creating animations with Neural Filters effects | Max Novak

Using Neural Filters to colour correct by @edteachs

I hope this is helpful! If you have any questions or need any help related to the tutorial, feel free to send me an ask 💖

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literaryvein-reblogs · 11 days ago

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Writing Notes: Cookbook

Whether you want to turn your own recipes into a cookbook as a family keepsake, or work with a publisher to get the most viral recipes from your blog onto paper and into bookstores, making a cookbook is often a fun but work-intensive process.

How to Make a Cookbook

The process of making a cookbook will depend on your publishing route, but in general you’ll need to work through the following steps:

Concept: The first step of making a cookbook is to figure out what kind of cookbook this will be. Your cookbook can focus on a single ingredient, meal, region, or culture. It can be an educational tome for beginners, or a slapdash collection of family favorites for your relatives. If you’re looking to get your cookbook published, a book proposal is a necessary step towards getting a book deal, and can also help you pin down your concept.

Compile recipes: If you’ve been dreaming of writing a cookbook, chances are you probably already know some recipes that have to be included. Make a list of those important recipes and use that as a jumping-off point to brainstorm how your cookbook will be organized and what other recipes need to be developed. If you’re compiling a community cookbook, reach out to your community members and assemble their recipes.

Outline: Based on your guiding concept and key recipes, make a rough table of contents. Possibly the most common way to divide a cookbook is into meals (appetizers, breakfast, lunch, dinner) but cookbooks can also be divided by season, raw ingredients (vegetables, fish, beef), cooking techniques, or some other narrative structure.

Recipe development: Flesh out your structure by developing beyond your core recipes, if needed, and fine-tuning those recipes which need a bit more work.

Recipe testing: Hire recipe testers, or enlist your friends and family, to test out your recipes in their home kitchens. Have them let you know what worked and didn’t work, or what was confusing.

Write the surrounding material: Most cookbooks include some writing other than the recipes. This may include chapter introductions and blurbs for each recipe.

Photography and layout: If your book includes photography, at some point there will be photo shoots where the food will have to be prepared and styled for camera. Traditional publishing houses will likely want to hire stylists and photographers who specialize in food photography. Once the images and text are both ready, a book designer will arrange them together and make the cover design, but you can also make your own cookbook design using software like InDesign or old-school DIY-style, with paper, scissors, and a photocopier.

Editing: If you’re working with a publisher, there may be several rounds of back and forth as your editor works with you to fine-tune the recipes and text. The book will then be sent to a copy editor who will go through the entire cookbook looking for grammar and style issues, and indexer for finishing touches. If you’re self-publishing, give a rough draft of your book to friends and family members to proofread.

Printing: After everything is laid out and approved, your cookbook is ready to be printed. If you’re printing your cookbook yourself, you can go to a copy shop to get it spiral bound, or send it off to a printer for more options.

Common Types of Cookbooks

More so than any other kind of nonfiction book, cookbooks lend themselves to self-publishing. Of course, cookbook publishing is also a huge industry, and a professional publisher might be the best route for your book depending on the scope and your reach as a chef.

Self-published: This is a cookbook made of up your own recipes, which you might give as gifts to family and friends. You can easily self-publish a cookbook online as an individual. But if having a print book is important to you, there are many options. You can print and staple together a short cookbook, zine-style. Many copy shops will also offer options for wire-bound cookbooks, and there are resources online that will print bookstore-quality softcover or hard-cover books for a fee.

Community cookbooks: A special subset of self-published cookbook made up of recipes from multiple individuals, usually to raise money for a cause or organization. Working with a group has the advantage of a large pool of recipes and testers, and is a great way to share your recipes with a larger audience while also supporting a cause you believe in.

Through a publishing house: If you think your cookbook has a wider audience, you may want to seek out a mainstream publishing house. Get a literary agent who can to publishers who can connect you with publishers who are interested in your cookbook. Large publishing houses don’t usually accept pitches from individuals, but you can reach out to small, local publishers without an agent as intermediary. To publish a cookbook through a publishing house, you’ll typically need a book proposal outlining your concept, audience, and budget.

Things to Consider Before Making a Cookbook

Before embarking on your cookbook project, it’s a good idea to get organized, and to figure out what kind of cookbook you want to make.

Photography: More so than other texts, cookbooks often include visual accompaniment. Beautiful pages of full-color photos are expensive, which is one reason publishers like to work with bloggers who can style and photograph their own food. Not all cookbooks need photos, however. Some of the most iconic cookbooks rely on illustrations, or words alone. Figure out what role, if any, visuals will play in your book.

Audience: Are you turning recipe cards into a keepsake family cookbook, or selling this cookbook nationwide? Your intended audience will greatly influence how you write and publish your cookbook, whether it’s vegans, college students, or owners of pressure cookers. You’ll need to consider your audience’s cooking skill level, desires, and where they buy their food.

Budget: Once you have a vision for what you want your cookbook to be, budget your time and resources. Do you need help to make this book? The answer is probably yes. Assemble a team of people who understand your vision and know what kind of commitment will be involved.

Source ⚜ More: Notes & References ⚜ Writing Resources PDFs

#cookbook #nonfiction #writing reference #writing tips #writeblr #dark academia #literature #writers on tumblr #spilled ink #writing prompt #light academia #writing ideas #writing inspiration #writing resources

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mariacallous · 8 months ago

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On Saturday, an Associated Press investigation revealed that OpenAI's Whisper transcription tool creates fabricated text in medical and business settings despite warnings against such use. The AP interviewed more than 12 software engineers, developers, and researchers who found the model regularly invents text that speakers never said, a phenomenon often called a “confabulation” or “hallucination” in the AI field.

Upon its release in 2022, OpenAI claimed that Whisper approached “human level robustness” in audio transcription accuracy. However, a University of Michigan researcher told the AP that Whisper created false text in 80 percent of public meeting transcripts examined. Another developer, unnamed in the AP report, claimed to have found invented content in almost all of his 26,000 test transcriptions.

The fabrications pose particular risks in health care settings. Despite OpenAI’s warnings against using Whisper for “high-risk domains,” over 30,000 medical workers now use Whisper-based tools to transcribe patient visits, according to the AP report. The Mankato Clinic in Minnesota and Children’s Hospital Los Angeles are among 40 health systems using a Whisper-powered AI copilot service from medical tech company Nabla that is fine-tuned on medical terminology.

Nabla acknowledges that Whisper can confabulate, but it also reportedly erases original audio recordings “for data safety reasons.” This could cause additional issues, since doctors cannot verify accuracy against the source material. And deaf patients may be highly impacted by mistaken transcripts since they would have no way to know if medical transcript audio is accurate or not.

The potential problems with Whisper extend beyond health care. Researchers from Cornell University and the University of Virginia studied thousands of audio samples and found Whisper adding nonexistent violent content and racial commentary to neutral speech. They found that 1 percent of samples included “entire hallucinated phrases or sentences which did not exist in any form in the underlying audio” and that 38 percent of those included “explicit harms such as perpetuating violence, making up inaccurate associations, or implying false authority.”

In one case from the study cited by AP, when a speaker described “two other girls and one lady,” Whisper added fictional text specifying that they “were Black.” In another, the audio said, “He, the boy, was going to, I’m not sure exactly, take the umbrella.” Whisper transcribed it to, “He took a big piece of a cross, a teeny, small piece … I’m sure he didn’t have a terror knife so he killed a number of people.”

An OpenAI spokesperson told the AP that the company appreciates the researchers’ findings and that it actively studies how to reduce fabrications and incorporates feedback in updates to the model.

Why Whisper Confabulates

The key to Whisper’s unsuitability in high-risk domains comes from its propensity to sometimes confabulate, or plausibly make up, inaccurate outputs. The AP report says, "Researchers aren’t certain why Whisper and similar tools hallucinate," but that isn't true. We know exactly why Transformer-based AI models like Whisper behave this way.

Whisper is based on technology that is designed to predict the next most likely token (chunk of data) that should appear after a sequence of tokens provided by a user. In the case of ChatGPT, the input tokens come in the form of a text prompt. In the case of Whisper, the input is tokenized audio data.

The transcription output from Whisper is a prediction of what is most likely, not what is most accurate. Accuracy in Transformer-based outputs is typically proportional to the presence of relevant accurate data in the training dataset, but it is never guaranteed. If there is ever a case where there isn't enough contextual information in its neural network for Whisper to make an accurate prediction about how to transcribe a particular segment of audio, the model will fall back on what it “knows” about the relationships between sounds and words it has learned from its training data.

According to OpenAI in 2022, Whisper learned those statistical relationships from “680,000 hours of multilingual and multitask supervised data collected from the web.” But we now know a little more about the source. Given Whisper's well-known tendency to produce certain outputs like "thank you for watching," "like and subscribe," or "drop a comment in the section below" when provided silent or garbled inputs, it's likely that OpenAI trained Whisper on thousands of hours of captioned audio scraped from YouTube videos. (The researchers needed audio paired with existing captions to train the model.)

There's also a phenomenon called “overfitting” in AI models where information (in this case, text found in audio transcriptions) encountered more frequently in the training data is more likely to be reproduced in an output. In cases where Whisper encounters poor-quality audio in medical notes, the AI model will produce what its neural network predicts is the most likely output, even if it is incorrect. And the most likely output for any given YouTube video, since so many people say it, is “thanks for watching.”

In other cases, Whisper seems to draw on the context of the conversation to fill in what should come next, which can lead to problems because its training data could include racist commentary or inaccurate medical information. For example, if many examples of training data featured speakers saying the phrase “crimes by Black criminals,” when Whisper encounters a “crimes by [garbled audio] criminals” audio sample, it will be more likely to fill in the transcription with “Black."

In the original Whisper model card, OpenAI researchers wrote about this very phenomenon: "Because the models are trained in a weakly supervised manner using large-scale noisy data, the predictions may include texts that are not actually spoken in the audio input (i.e. hallucination). We hypothesize that this happens because, given their general knowledge of language, the models combine trying to predict the next word in audio with trying to transcribe the audio itself."

So in that sense, Whisper "knows" something about the content of what is being said and keeps track of the context of the conversation, which can lead to issues like the one where Whisper identified two women as being Black even though that information was not contained in the original audio. Theoretically, this erroneous scenario could be reduced by using a second AI model trained to pick out areas of confusing audio where the Whisper model is likely to confabulate and flag the transcript in that location, so a human could manually check those instances for accuracy later.

Clearly, OpenAI's advice not to use Whisper in high-risk domains, such as critical medical records, was a good one. But health care companies are constantly driven by a need to decrease costs by using seemingly "good enough" AI tools—as we've seen with Epic Systems using GPT-4 for medical records and UnitedHealth using a flawed AI model for insurance decisions. It's entirely possible that people are already suffering negative outcomes due to AI mistakes, and fixing them will likely involve some sort of regulation and certification of AI tools used in the medical field.

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dreaminginthedeepsouth · 3 months ago

Text

Women pulling Lever on a Drilling Machine, 1978 Lee, Howl & Company Ltd., Tipton, Staffordshire, England photograph by Nick Hedges image credit: Nick Hedges Photography

* * * *

Tim Boudreau

About the whole DOGE-will-rewrite Social Security's COBOL code in some new language thing, since this is a subject I have a whole lot of expertise in, a few anecdotes and thoughts.

Some time in the early 2000s I was doing some work with the real-time Java team at Sun, and there was a huge defense contractor with a peculiar query: Could we document how much memory an instance of every object type in the JDK uses? And could we guarantee that that number would never change, and definitely never grow, in any future Java version?

I remember discussing this with a few colleagues in a pub after work, and talking it through, and we all arrived at the conclusion that the only appropriate answer to this question as "Hell no." and that it was actually kind of idiotic.

Say you've written the code, in Java 5 or whatever, that launches nuclear missiles. You've tested it thoroughly, it's been reviewed six ways to Sunday because you do that with code like this (or you really, really, really should). It launches missiles and it works.

A new version of Java comes out. Do you upgrade? No, of course you don't upgrade. It works. Upgrading buys you nothing but risk. Why on earth would you? Because you could blow up the world 10 milliseconds sooner after someone pushes the button?

It launches fucking missiles. Of COURSE you don't do that.

There is zero reason to ever do that, and to anyone managing such a project who's a grownup, that's obvious. You don't fuck with things that work just to be one of the cool kids. Especially not when the thing that works is life-or-death (well, in this case, just death).

Another case: In the mid 2000s I trained some developers at Boeing. They had all this Fortran materials analysis code from the 70s - really fussy stuff, so you could do calculations like, if you have a sheet of composite material that is 2mm of this grade of aluminum bonded to that variety of fiberglass with this type of resin, and you drill a 1/2" hole in it, what is the effect on the strength of that airplane wing part when this amount of torque is applied at this angle. Really fussy, hard-to-do but when-it's-right-it's-right-forever stuff.

They were taking a very sane, smart approach to it: Leave the Fortran code as-is - it works, don't fuck with it - just build a nice, friendly graphical UI in Java on top of it that *calls* the code as-is.

We are used to broken software. The public has been trained to expect low quality as a fact of life - and the industry is rife with "agile" methodologies *designed* to churn out crappy software, because crappy guarantees a permanent ongoing revenue stream. It's an article of faith that everything is buggy (and if it isn't, we've got a process or two to sell you that will make it that way).

It's ironic. Every other form of engineering involves moving parts and things that wear and decay and break. Software has no moving parts. Done well, it should need *vastly* less maintenance than your car or the bridges it drives on. Software can actually be *finished* - it is heresy to say it, but given a well-defined problem, it is possible to actually *solve* it and move on, and not need to babysit or revisit it. In fact, most of our modern technological world is possible because of such solved problems. But we're trained to ignore that.

Yeah, COBOL is really long-in-the-tooth, and few people on earth want to code in it. But they have a working system with decades invested in addressing bugs and corner-cases.

Rewriting stuff - especially things that are life-and-death - in a fit of pique, or because of an emotional reaction to the technology used, or because you want to use the toys all the cool kids use - is idiotic. It's immaturity on display to the world.

Doing it with AI that's going to read COBOL code and churn something out in another language - so now you have code no human has read, written and understands - is simply insane. And the best software translators plus AI out there, is going to get things wrong - grievously wrong. And the odds of anyone figuring out what or where before it leads to disaster are low, never mind tracing that back to the original code and figuring out what that was supposed to do.

They probably should find their way off COBOL simply because people who know it and want to endure using it are hard to find and expensive. But you do that gradually, walling off parts of the system that work already and calling them from your language-du-jour, not building any new parts of the system in COBOL, and when you do need to make a change in one of those walled off sections, you migrate just that part.

We're basically talking about something like replacing the engine of a plane while it's flying. Now, do you do that a part-at-a-time with the ability to put back any piece where the new version fails? Or does it sound like a fine idea to vaporize the existing engine and beam in an object which a next-word-prediction software *says* is a contraption that does all the things the old engine did, and hope you don't crash?

The people involved in this have ZERO technical judgement.

#tech #software engineering #reality check #DOGE #computer madness #common sense #sanity #The gang that couldn't shoot straight #COBOL #Nick Hedges #machine world

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gingiesworld · 2 years ago

Text

Fatal Attraction

Chapter Two

Pairings: Wanda Maximoff x GN! Reader/Wanda Maximoff x Jarvis Stark

Warnings: Angst. Fluff.

Taglist : @natashamaximoff-69 @canvascoloredin @wizardofstories @louxbloom @wandanats-goodgirl @the-ox-fan20 @ladyqueenxoxo @aemilia19 @wandaromamoff69 @mfd-101 @dorabledewdroop @marvelogic

18+ MINORS DNI

Wanda was excited to start her first day at Oscorp, of course she never told Jarvis where she was working. Oscorp and Stark Industries are the biggest rivals in the USA, both companies sell high tech software and Oscorp also sell pharmaceuticals and weapons, something which Tony had stopped Stark Industries manufacturing. So Stark had lost a lot of investors due to lack of materials.

"Why are you up so early?" Jarvis asked his wife as she sat at the table, a cup of coffee in one hand and a slice of toast in the other.

"I have my first day today." She told him as she put the cup down, gathering her things.

"What time will you be home?" He questioned as she raised her brow. "I just want to know if I should expect dinner or not when I walk through the door."

"Seriously?" She scoffed as he gazed at her. "I am not a little housewife. It is not my job to mother you!" She left the toast and coffee on the table as she grabbed her purse, heading straight to the door. "Don't expect me to cook dinner for you tonight." She told him before she slammed the door behind her. Heading straight into the cold city air as she walked to Oscorp. Making her way up to the top floor after retrieving her I.D. badge.

"Wanda, good morning." Jean greeted her as she entered the office.

"Good morning. How are you and the little one?" She asked her as Jean smiled, resting her hand on her stomach.

"We are both great." She answered before Y/N walked in, three cups and a bag of donuts.

"Green tea for Jean, coffee for me and coffee for Wanda." They handed them the cups before placing the donuts on the desk. "And breakfast." The two women thanked them before Jean handed them a file.

"You have a meeting with Dr Stacy about the new antibiotic." Jean told them as they nodded.

"Would you spend this week showing Wanda how everything is done here?" They asked her. "I want her to know everything before you leave but if she doesn't get everything, I will always help if you need me." They told the two who just nodded. Wanda watched as they disappeared down the hall and towards the elevator.

"They don't really get a moment." Jean told Wanda who nodded, grabbing a seat beside the pregnant woman. "You seemed to be upset when you came in." Jean observed as Wanda shook her head.

"Just marital problems." Wanda shrugged as Jean looked at her shocked.

"But you're so young." She whispered as Wanda chuckled.

"We have been together forever." Wanda told her, soon interrupted by the phone ringing, watching as Jean showed her how to get into Y/N's schedule. Wanda was shocked at how many meetings they had in a day, and what time they actually finished work.

"They also never really rest." Jean told her.

"I can see." Wanda nodded as she swallowed.

"You won't be staying that long unless they need you for an emergency." Jean told her. "But the overtime is generous." The two had gone on with Jean showing Wanda how to use the company software and how to make the changes as Y/N headed towards the labs.

"So, how far along is the process?" They asked her as she looked up from her tablet.

"It is almost done, we just need to start trials soon." Gwen started. "It is supposed to be stronger than your average oral antibiotic, tackling the source of the infection. We have tried it on a test dummy but we won't get sufficient results until we open up for human trials."

"Get the FDA to sign off on the trials first." They told her as she handed them another file.

"We have also had to adjust the formula of the tranquilizers." She informed them. "The old formula was." She made a face. "It was too potent."

"Just keep me informed, inform the FDA and get that approval." They told her before they walked away with the new files in their hands. Once Y/N had made it back to the office, they spotted both Jean and Wanda chatting comfortably. "Ms Maximoff, a word please." They held the office door open for her which she had quickly moved inside. "Please, have a seat." Wanda was quick to follow their order as they placed the files down in their growing pile. "I assume that Jean has shown you most of the database."

"Yes." Wanda answered as Y/N smiled at her.

"Wanda." They stood up from their seat and looked out of the window for a brief moment before continuing. "I had to do some of my own research and it seems that your husband is none other than the son of Anthony Stark."

"I can explain." She tried, thinking she was going to lose her job.

"I know you can." They gave her a smile. "But I also have another contract for you to sign. It protects the assets of Oscorp and its investors." They reached inside their draw for a binded contract. "It pretty much states that you cannot speak of anything that happens inside of this building, or you will be facing a lawsuit." Wanda nodded in understanding, of course she hated the idea of lying to her husband but she needed to earn her way, not like anyone would understand. She held out her hand for a pen which they handed her one from their pen pot. "Just a quick question darling." They asked as they took the contract. "Why do you want to work if being Jarvis Stark's wife provides for you?"

"I want to be able to earn my own money." She told them honestly. "I don't want to be known as Jarvis Stark's pretty little wife."

"Then why did you marry him?" They questioned as she bit the inside of her cheek. A small smirk formed on their face before they smiled guiltily at her. "My apologies, it isn't my place."

"I love him." She told them, her eye contact never faltering. "I have loved him since the moment he asked me out, as nervous as he was for being the infamous Tony Stark's son. He was the complete opposite to his father, he was sweet and loyal, kind and caring."

"You said that as in the past tense." They told her. "So, you don't think he is the same man you fell in love with?"

"Are you my shrink?" Wanda questioned with a raised brow, making Y/N chuckle lightly before leaning on the desk before her.

"I just want the best for my employees Wanda." They told her, nothing but genuine affirmation of the words laced their tone. "I know the people outside of this company think I am heartless. A power hungry being but I only want what's right for every one who works for Oscorp, that is what Norman taught me before he left me as the sole successor of his company." Wanda listened as they spoke. "The company is as strong as the people who run it. I just keep everything in order, it's the employees who keep Oscorp running, their ideas, their knowledge, their creations keep Oscorp from going underground."

"I can say that I was one of those people." Wanda whispered as Y/N laughed a little.

"Wanda, you are now one of the people who keep Oscorp running too. You keep me on schedule and arrange the appointments for the investors." They rested their hand on her shoulder. "So I only have your best interests at heart." With that they grabbed their next file before heading to the door with Wanda following. "Just know you can always come to me." With that they opened the door for her before heading to Jean.

"Mr Fisk is downstairs." She informed them.

"Why don't you both order lunch? Take a break." They suggested, before they headed to the elevator, leaving Wanda pondering their last conversation.

"What is the deal with them and Norman?" Wanda asked Jean who shook her head.

"That is not my place to tell." She told her. "I only knew because I was Norman's assistant before Y/N took over."

"So you've been here longer?" She questioned as Jean shook her head.

"No, Y/N was always here, shadowing him, learning how to run the company. They even helped with the Glider Project." Jean told her. "Of course it failed, an accident happened and well, Norman scrapped it."

Wanda was most certainly drawn into the mystery that is Y/N Y/L/N.

#wanda maximoff x reader #wanda maximoff #marvel #elizabeth olsen #wanda x you #elizabeth olsen x reader #wanda x reader #wanda x y/n #wanda maximoff x you #natasha romanoff

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insert-something-funy-here · 9 months ago

Text

MUEHEHEHE >:)

CHAT IT'S SILLIES TIME!!!!

For those who didn't see before I deleted it, sometime ago, I made a post about an idea for an AU I have where Biograft is sentient enough for Medkit leaving Blackrock to affect him (and on top of that, that's how he discovers his own sentience). I spent a couple hours writing cus I got inspired! Biograft doesn't yet realize he's sentient, so I think (if people like thus enough) I'll make a pt2 to this cus I have ideas for where this could go!! (Tbh, I'll probably do it regardless of if people like it or not, but still!!!)

Edit: Am in fact making this a series

This is the start || Part 2

An error. A simple miscalculation. Making breakfast for two, when there was only one here who could eat. Opening the door to an empty, and uncharacteristically clear room. No phighter for me to wake. Green flowers at the bedside now wilting from missing… from his absence. It was odd how he would “heal,” them every other morning. I don't have such an ability, being created for the opposite of healing. Most iterations of me anyway.

I should throw those away before they begin to rot. It’s been a week now. Or I could leave them. Perhaps after such long-term exposure to his crystal, they will last longer than regular flowers. That’s all this is, testing a hypothesis. I can leave them a little longer, just to see the results.

New connections have started forming in my programming. One of me was out collecting materials for Subspace, and I saw those flowers again. When I saw them, what came to mind wasn’t any data about it, not its place of origin, ideal habitat, or its potential uses, but the memory of seeing Medkit reverse the effects of time on the ones he kept. Yet another odd error.

I asked Subspace to help me troubleshoot these recent errors. We came to the same conclusion of there being something in my software. He checked, said that my algorithms had been evolving rapidly and creating a new type of data, which could have been overwhelming the system and causing these errors. But what caused that spike in complexity? The only thing to have changed recently outside of myself is that his presence is no longer here. Subspace hasn’t given me any new updates, and such drastic change has never happened without Subspace’s intervention before. There is no reason for me to have change unless my creator requests it or it is within his benefit for me to do so on my own time. This isn’t benefiting anyone, so why is it happening? And why didn’t Subspace fix me?

He said even though he himself had no idea of the catalyst of these changes, with refinement, they gave the opportunity to lead wonderful new breakthroughs. Yet I find myself still unable to understand, which only in turn creates further lack of understanding. How am I unable to see what it is my creator wants from me? Why don’t I understand the results he wishes for?

Why do I ask and hesitate now instead of proceeding onward as I always have?

What makes life?

The definition I was programmed with was, “the condition that distinguishes animals and plants from inorganic matter, including the capacity for growth, reproduction, functional activity, and continual change preceding death.”

Am I alive?

I fit 2.5 of the important descriptors. I have the capacity for artificial change and growth (but it is not continual) and functional activity. I have the ability to die. To its simplest point, is living not just the absence of death?

Perhaps I mean to ask if I have sentience?

Is there a difference between chemical and code if they both have the potential to react irrationally to stimulus, be it internal or external?

Could this metal exterior be made metaphorical flesh?

One of me was out at the Crossroads today. I saw him, yet I did not attack. He is a wanted traitor, and I had the opportunity to pursue him, yet I didn’t. He saw me, and he didn’t run, even though he should have.

When I saw him, I thought of those flowers again. It’s been a month now. They’ve dried out but haven’t rotted yet. I should’ve thrown those away the same way I should’ve gone after him, without hesitation.

For some reason, part of me wanted to follow him, not to bring him back, but to see how he is now. Perhaps he would be able to explain why I’ve changed. What a strange hypothesis. Perhaps one worth further investigation.

It’s happened a few more times now. It’s been 4 months since his leave. Every time I see him, I act as though I haven't. I believe he’s caught on that I do it on purpose. I don’t know why I have this inability to approach him first. I think this “test” ends here. How unsatisfactory, with no results to show for it.

Is this cowardice? I think I better understand the concept outside of its definition now.

He stopped me as I went to leave this time. He pulled me aside into a nearby alley. Why? We stared at one another in an uncomfortable silence. Could silence be comfortable?

He asked me what I was doing. I asked him to clarify. He asked why I hadn’t been trying to go after him whenever Subspace wasn't around. I had no response. I moved on and told him something within me changed, but I couldn’t figure out what. He seemed confused but told me to continue. I told him about the errors, some of my questions, and about the flowers.

Something in the way he looked at me changed. He understood something about me that I did not. I couldn’t recognize what it was he held towards me with his gaze, but he stepped closer, and I let him

Innocent hands, covered in blood, not mine or its own, that wished to hold onto me. Sorrow grips us both.

I flew away to a false sky before my wings could be fully clipped, but left you, a fish in a bird cage. I can't take you to the water, but let me bring you drops of the sea.

“Even you need to rest and grieve… I missed you too.”

New ideas I had yet to understand.

I felt his arms wrap around me and an intense sensation rushed through me, it wore at me, as the waves do to a coastline, until I was left with nothing but the soothing sounds of the ocean.

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frostythefrostedfox · 1 year ago

Text

Don't you worry, you'll be to told exactly what to do I give my people the lives they need The righteous will succeed

You know what I don't like about rebel stories like Hunger Games and Divergent? That we never get the opposite, how about a compliance story?

Something that always bothered me about certain videogames is how they never ever, not even for one second, entertain the thought that you might not agree with them, they all follow the same formula

MC is respected member of [SOCIETY] > MC has encounter with bad side of [SOCIETY] > MC is told not to question things > MC questions things > MC turns sides > MC opposes and wins against [SOCIETY]

But what if I don't wanna? Why do we never get a videogame like that?

I want a game where the MC discovers the truth about the place they live in, and even with that knowledge they stand up and say "Ok and?" and carry on with their life; and that's how this fella was created

My young impressionable mind was exposed to Syndicate (2012) in 2013, the cover looked so cool and all the promo material online was great, it even had the theme song done by Skrillex, Nero, Flux Pavillion and Digitalism (for the people that likes real music and is reading this, that used to mean a lot, they were huge and everywhere for us noise-enjoyers), but the late part of the game and the ending never really... caught my attention, I always found the introduction of the game a loooot more enjoyable, before Kilo becomes a rebel and fights Eurocorp.

And that is why I created this fella. You can even call it a semi faceclaim.

Just like Kilo, born to a syndicate to serve the syndicate, except that i wasn't Eurocorp, it was Cayman Global, following their in-universe explanation that DART-6 has not been reverse engineered by any company and is propietary software of Eurocorp, Cayman decided to try their hand at it with what knowledge they have on it, and that is how they came up with the idea of Speciality Chips, or S.C, they work similarly to DART-6, with its own schizophrenia inducing voice interface and all, except that they don't enhance every single part of a 'soldier', instead they are using to make people 'better' at their jobs, depending on the role and occupation chosen for them at birth.

Fake memories of a fake family and a fake childhood, an AI prompt fed into his brain by the SC as a child to mould his personality to what Cayman needed it to be, with fake hardships to strenghten his character and fake triumphs to make him proud and happy. And every single thing he remembers doing as a child was a stage play to nurture and test his abilities, a continious selection program where only the best move on to the next phase while never aware that they are competing; every single one of those kids he beat at Spelling Bee as a child were just like him, and their failure meant their removal from the program, another job at Cayman Global will be found for them that fits their skillset, same thing for karting tournaments, academic score, everything.

His parents are just company employees told to act a certain way to incite certain reactions, records of who he was born to are probably kept somewhere, but who cares anyways, for as long as he believes those are his parents, they will do.

The only thing that makes him a somewhat rare candidate is that he is not a single child, he has a sister, also put throught the same program as him, just for another role, using a different version of the chip for a completely different purpose.

After years of serving Cayman Global and earning his Black Stripe clearance, one of his missions has his evacuation transport crash and drop him into the sea, after his chip entered power saving mode due to not consuming enough food or water, it was the first time he ever experienced fully thinking for himself, not having his thoughts molded, suggested or coerced by any company directive, and he found those thoughts to be quite similar to the ones he had before, questioning the methods of execution of Cayman Global, but not their ideals or beliefs. Why was he floating in the sea for so long? Shouldn't they pick him up as soon as his signal dissapeared? If the SC is an AI, do they all have different personalities and voices? Is his specially made for him?

Upon arriving Someplace, Somewhere in [COUNTRY], his chip came back into service, except that now they had a different set of information and ideas, his head filled with questions that the SC couldn't answer, but none of these doubts ever put his allegiance into question, so none of them got reported back, which would have ironically gotten him rescued faster.

Eventually he came across some locals, his uniform and armor damaged, no longer sporting any visible mark of his employer, they took him in, unaware of who he was; they certainly wouldn't have if they knew he was working for the exact same company responsible for making their life so miserable.

Time passed, he learned things from the locals and the locals learnt from him, all of his training was very real, and it showed, a trained agent like him could do things these guerrilla fighters only dreamed of, eventually being a prominent voice in this little tribe that nursed him back to health, he got a taste of what being in power was like, and he liked it, and his SC was taking records of it.

This sudden change in approach to a more professional and organized course of action peaked the interest of the tribe's enemies too, they couldn't have learned these things overnight, someone was helping them, their first thought was a rival syndicate, and so they dispatched a whole bunch of agents to deal with the new threat, ironically one of these agents being his sister.

The two were fated to encounter, and that is exactly what happened, just not the way they expected it, and certainly not the way they wanted it, and totally against the syndicate's wishes. Their SCs mark each other as [RELATIVE], but they don't know this other animal in front of them, how could these two different animals could have come out of the same mother, they are not the same species, she's a bird, he's a fox, he has a marksman tag, she has a bruiser tag, they look nothing alike, they are nothing alike.

Cayman Global originally thought of this as an inconvenience that should be dealt with immediately, but latter settled on exploring the possible opportunities of letting their bond be known to each other, and more importantly, the opportunity to gain an insider with access to the locals. And they had a lot to know about each other, their customs, their way of doing things, their likes and dislikes.

This only led to more question appearing on his head, why was everything at Cayman so peaceful, why can he just solve problems with his sister so easily, while the locals have all of these problems, tribes not settling in on one thing, having to constantly ask for things, changing their minds, disagreeing, fights; maybe they had so much problems with the syndicates because of their ways, if they could understand each other, things could probably be solved quicker.

But the tribes didn't wanted that, and rightfully so, they did not wanted to surrender their freedom, their land and everything they own to a company to manage and do as it pleases with, it was theirs.

You can't teach an old dog new tricks, he and his sister were raised by the Syndicate, to them these ideas the locals speak of were nonsense, all of this chaos and problems that could be easily fixed, why wouldnt you want to fix it?

And that's when his SC, for the first time in forever, came up with its own idea, not something fed by the mainframe. Betray the tribes.

And betray the tribes they indeed do, Cayman agents agreed to the plan after a lot of favours being called and some heavy bargaining in the form of his sister's fists. An easy pick for the tribes, a Helibird crashed into the desert after a sandstorm, few survivours and a delayed rescue team due to the poor visibility, the perfect chance to pick up resources; but the only thing they picked up was a fight they couldn't win.

And so he triumphantly returned to his home, Cayman Global headquarters, but his new... Ideas... were not popular with all of his superiors, but those that agreed with him were not afraid of showing his support.

That's how he met Moon, someone that has been sitting near the top for way too long, and no longer thinks the head should be doing the thinking, and she was ready to make a play for it, playing with some strings here and there to have the siblings end up under her supervision, she could train and explore where these ideas of theirs really led to, what did they meant.

He gave a new name to his SC's voice, Lightning, and she liked it, it was nice to be her own thing, not just another chip, and in return, he let her take control over bits and pieces of his brain that none of the chips should have access to.

Little by little, Moon slowly revealled what the syndicates were up to, a second syndicate war was brooding up, and it was going to be way worse than the one they had in 2049, and she remembers that one pretty well, she was still an active agent back then. She allowed him to take a peek behind the curtain, how his memories were manipulated and changed in order to fit a narrative created by the syndicate, how his upbringing was all fake, how he was monitored and sought after like a guinea pig.

And he had absolutely no problem with any of that, his mind was so deeply consumed by the company's mindset that he couldn't even begin to understand how could any of those things were bad, he never questioned his position or his role in Cayman Global, instead he just wanted more, his last adventure made him hungry for things he should have never tasted, the company's propaganda kept him docile and happy, but also kept him compliant and safe, and he wanted none of the latter, having power is great, being in charge is amazing and telling other people what to do feels good; and Lightning agreed with it, why should she be a simple voice on his head, when she could control all the other voices on everyone's head.

That is where their real 'adventure' begins, not to destroy a corrupt syndicate, not to make the world a better place, not to make it fairer, is to put themselves on top, be the one that cuts the cake instead of being the one receiving a slice.

Thank you for coming to my OC rant

#oc #oc art #comission #rant post #fox #fursona #furry art #furry #furry oc #furry fandom #anthro #anthro art #syndicate

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urlknight · 8 months ago

Note

Hi there, Love your work! I'm also doing stuff in Unreal and it feels like it's rarer to find other indie devs using it. I love how clean all your UI feels, and UI is something I seem to really struggle with.

Do you have any recommendations for workflows / tips / sources etc for getting better at UI?

Also I'd love to know more about the material / shader workflow for your latest post if you have more information anywhere.

Thanks :)

Hello there! Thank you!! I hope you don't mind me answering publicly as I feel like some people might be interested in the answer!

I really appreciate your UI (User Interface for those not knowing the acronym) compliment as it's something I've spent a long time working on and specializing in, in my career as a software engineer. UI/UX often goes completely unacknowledged or taken for granted even though it takes a lot of time and hard work to create and develop. In the engineering world I frequently had to advocate for and explain user experiences to those who didn't have as deep of an appreciation for UI or a very sophisticated understanding of why a good, visually appealing user experience makes, or on the flip side, can break everything. I think it's a very challenging, overwhelming topic to grasp and communicate, but just by being interested in it you're already way ahead!

There's a lot going on with UI. From visuals to knowing common design elements to successfully conveying a story to the user to implementation to testing to designing for accessibility to animation and I probably didn't cover everything with that run-on sentence. There's frontend engineers out there whose role is solely to maintain and improve UI component libraries for companies. And that's without throwing games, whose UIs are all uniquely visually tailored to their experiences, into the mix... I could keep going on about this honestly, but I'll get to what I think you can do personally! 1. Learn about common design patterns. What's a toast? What's pagination? What's a card? Little things like that. These apply to all software UI/UX, including video games- and knowing these off the top of your head will make it so much easier for you to invent your own UI designs and patterns.

2. Study the UI in the everyday applications you interact with. Step through menus and think about how you got from point A to point B. Take a moment to think about the why someone put a button where they did. Study the UI in your favorite video games, too! Take a lot of notes on what you think works really well and what you think doesn't. And also there's online resources that are great for inspiration. I personally spend a lot of time on the Game UI Database. - https://dribbble.com/ - https://www.gameuidatabase.com/ 3. Don't be afraid to start with basic sketches or even just simply representing everything with grey boxes. All my UI starts out as really crappy sketches on paper, or tablet sketches on top of screenshots. Visualize your ideas and then keep iterating on them until you've got something. For example, I went from this:

To this. (And come to think of it I might actually still want to make those cooler looking buttons in my sketch) 4. Break everything out into pieces and individual components. A good UI is made up of building blocks that you can reuse all over the place. That's how it stays consistent and also saves you a lot of stress when you need to go in and update components. Instead of a million different looking UI pieces, you just have to update the one! These individual components will make up your very own UI Component Library, which will be the standardized design system and source of reusable components for your project. This also applies to your visual elements that don't do anything (like I personally have a whole mini library of diamond and star shapes that I reuse everywhere).

For reference, here's a breakdown I made of my Inventory UI. On the right, I've labeled most of the individual components, and you might be able to see how I'm reusing them over and over again in multiple places.

5. Spend some time listening to designers talk, maybe befriend some designers! Many of them have an unique, interesting view of the world and how we interact with it even beyond just software. Their perspectives will inform yours.

6. Test your UI on users whenever you can. Get feedback from others. This is the best way for you to see what works and what doesn't. As game devs we spend so much time with our games it's easy for us to lose sight of the full picture.

7. Be patient and don't give up. Continue to be open to expanding your knowledge. These UI skills take time to develop. I personally am still learning even after like 10 years of doing it. Coming up with the visual elements is very challenging for me and I spend a lot of time rearranging things in photoshop before I actually start coding anything at all in Unreal.

Whew, that was a lot, but I hope that gives you some thoughts and a place to start!

I don't have any posts out there about Blender/Unreal shader workflows right now, but I'll consider making another post sometime soonish. I appreciate you asking and you're welcome! :)

#ask #ui/ux #long post

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