#Drives and automation

[akshisblog]

Innovations in Roll Design Revolutionizing Efficiency and Quality in Egypt's Steel Industry

In the heart of Egypt's thriving steel industry, a silent revolution is underway that promises to reshape the landscape of efficiency and product excellence. At the forefront of this transformation are pioneers like Akshi Engineers Pvt. Ltd., who are engineering a new era of innovation in roll design, propelling Egyptian rolling mills towards unprecedented heights of performance and quality.

Akshi Engineers Pvt. Ltd.: Illuminating the Path of Progress

As a prominent Rolling Mill Drives & Automation manufacturer, Akshi Engineers Pvt. Ltd. has cast a luminous trail in Egypt's steel sector. With an unwavering commitment to innovation, they stand as a testament to the synergy between technology and tradition, driving the industry's evolution.

Precision Roll Designs: Forging the Backbone of Quality

At the core of this transformation are the ingenious advancements in roll design. The meticulous engineering of rolls has evolved from mere mechanical components to precision instruments that orchestrate the symphony of steel production. Akshi Engineers Pvt. Ltd., along with other Rolling Mill Companies in Egypt, have led the charge in crafting rolls that endure immense pressures and temperatures while maintaining dimensional accuracy. This innovation lays the foundation for consistently high-quality steel products.

Elevating Mill Stand Designs: Where Stability Meets Flexibility

Mill stands, often the unsung heroes of hot rolling mills, have undergone a renaissance in design. The delicate equilibrium between stability and flexibility is now a hallmark of innovation. The efforts of Mill Stand Companies in Egypt have resulted in stands that seamlessly withstand the relentless forces of rolling while providing the agility to adjust and meet exact product specifications.

Powering Efficiency: The Gearbox Revolution

In the backdrop of the rolling spectacle, the unsung heroes of efficiency quietly hum – the gearboxes. Gearbox Manufacturers in Egypt have unleashed a new era of precision and control. Modern gearboxes, resembling masterful clockwork, harness optimal torque and speed control, allowing mills to adapt swiftly to varying product demands without compromising efficiency. This dynamism not only enhances production versatility but also champions energy conservation.

Turnkey Solutions for TMT Bar Mills: Meeting Market Dynamics

The Egyptian steel industry, mirroring the nation's rapid development, demands versatile and high-quality products. This is where turnkey solutions come into play. As the demand for TMT bars soars in Egypt's construction and infrastructure sectors, the expertise of Turnkey Solution for TMT Bar Mills Providers is evident. They ensure that every step, from initial mill design to ongoing maintenance, is orchestrated with precision, culminating in the consistent production of top-tier TMT bars.

Shaping a Sustainable Tomorrow

Innovations in roll design aren't just about efficiency and quality; they're about sustainability. The shift towards energy-efficient practices, streamlined heating techniques, and waste reduction strategies has gained momentum. As the steel industry embraces Industry 4.0 principles, Egypt's rolling mills stand at the cusp of a paradigm shift – one that integrates real-time data analytics and predictive maintenance to fine-tune production processes and elevate sustainability.

Charting the Course Ahead

The tale of Egypt's rolling mills is a narrative of resilience and innovation. Akshi Engineers Pvt. Ltd. and other industry leaders are the architects of this transformation, steering the course towards efficiency and excellence. Their relentless pursuit of precision roll designs, dynamic mill stands, and adaptable gearboxes has propelled the nation's steel industry to the forefront of progress.

As the sun sets over Egypt's steel landscape, it casts a radiant glow upon a sector that is not only adapting to change but embracing it with open arms. The harmony between tradition and innovation resonates, reminding us that rolling mills are not mere machines but the heartbeat of a nation's growth. Egypt's steel story continues, driven by the innovations in roll design that are illuminating a path toward an unparalleled future.

Source Url: https://raginitiwari.blogspot.com/2023/08/innovations-in-roll-design.html

#hot rolling mill manufacturer #twinchannel #rollingmillmanufacturers #rolling mill stand #gear boxes manufacturer #Drives and automation #turnkey solutions for tmt bar mill

[mostlysignssomeportents]

“Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed

I'm touring my new, nationally bestselling novel The Bezzle! Catch me SATURDAY (Apr 27) in MARIN COUNTY, then Winnipeg (May 2), Calgary (May 3), Vancouver (May 4), and beyond!

If AI has a future (a big if), it will have to be economically viable. An industry can't spend 1,700% more on Nvidia chips than it earns indefinitely – not even with Nvidia being a principle investor in its largest customers:

https://news.ycombinator.com/item?id=39883571

A company that pays 0.36-1 cents/query for electricity and (scarce, fresh) water can't indefinitely give those queries away by the millions to people who are expected to revise those queries dozens of times before eliciting the perfect botshit rendition of "instructions for removing a grilled cheese sandwich from a VCR in the style of the King James Bible":

https://www.semianalysis.com/p/the-inference-cost-of-search-disruption

Eventually, the industry will have to uncover some mix of applications that will cover its operating costs, if only to keep the lights on in the face of investor disillusionment (this isn't optional – investor disillusionment is an inevitable part of every bubble).

Now, there are lots of low-stakes applications for AI that can run just fine on the current AI technology, despite its many – and seemingly inescapable - errors ("hallucinations"). People who use AI to generate illustrations of their D&D characters engaged in epic adventures from their previous gaming session don't care about the odd extra finger. If the chatbot powering a tourist's automatic text-to-translation-to-speech phone tool gets a few words wrong, it's still much better than the alternative of speaking slowly and loudly in your own language while making emphatic hand-gestures.

There are lots of these applications, and many of the people who benefit from them would doubtless pay something for them. The problem – from an AI company's perspective – is that these aren't just low-stakes, they're also low-value. Their users would pay something for them, but not very much.

For AI to keep its servers on through the coming trough of disillusionment, it will have to locate high-value applications, too. Economically speaking, the function of low-value applications is to soak up excess capacity and produce value at the margins after the high-value applications pay the bills. Low-value applications are a side-dish, like the coach seats on an airplane whose total operating expenses are paid by the business class passengers up front. Without the principle income from high-value applications, the servers shut down, and the low-value applications disappear:

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

Now, there are lots of high-value applications the AI industry has identified for its products. Broadly speaking, these high-value applications share the same problem: they are all high-stakes, which means they are very sensitive to errors. Mistakes made by apps that produce code, drive cars, or identify cancerous masses on chest X-rays are extremely consequential.

Some businesses may be insensitive to those consequences. Air Canada replaced its human customer service staff with chatbots that just lied to passengers, stealing hundreds of dollars from them in the process. But the process for getting your money back after you are defrauded by Air Canada's chatbot is so onerous that only one passenger has bothered to go through it, spending ten weeks exhausting all of Air Canada's internal review mechanisms before fighting his case for weeks more at the regulator:

https://bc.ctvnews.ca/air-canada-s-chatbot-gave-a-b-c-man-the-wrong-information-now-the-airline-has-to-pay-for-the-mistake-1.6769454

There's never just one ant. If this guy was defrauded by an AC chatbot, so were hundreds or thousands of other fliers. Air Canada doesn't have to pay them back. Air Canada is tacitly asserting that, as the country's flagship carrier and near-monopolist, it is too big to fail and too big to jail, which means it's too big to care.

Air Canada shows that for some business customers, AI doesn't need to be able to do a worker's job in order to be a smart purchase: a chatbot can replace a worker, fail to their worker's job, and still save the company money on balance.

I can't predict whether the world's sociopathic monopolists are numerous and powerful enough to keep the lights on for AI companies through leases for automation systems that let them commit consequence-free free fraud by replacing workers with chatbots that serve as moral crumple-zones for furious customers:

https://www.sciencedirect.com/science/article/abs/pii/S0747563219304029

But even stipulating that this is sufficient, it's intrinsically unstable. Anything that can't go on forever eventually stops, and the mass replacement of humans with high-speed fraud software seems likely to stoke the already blazing furnace of modern antitrust:

https://www.eff.org/de/deeplinks/2021/08/party-its-1979-og-antitrust-back-baby

Of course, the AI companies have their own answer to this conundrum. A high-stakes/high-value customer can still fire workers and replace them with AI – they just need to hire fewer, cheaper workers to supervise the AI and monitor it for "hallucinations." This is called the "human in the loop" solution.

The human in the loop story has some glaring holes. From a worker's perspective, serving as the human in the loop in a scheme that cuts wage bills through AI is a nightmare – the worst possible kind of automation.

Let's pause for a little detour through automation theory here. Automation can augment a worker. We can call this a "centaur" – the worker offloads a repetitive task, or one that requires a high degree of vigilance, or (worst of all) both. They're a human head on a robot body (hence "centaur"). Think of the sensor/vision system in your car that beeps if you activate your turn-signal while a car is in your blind spot. You're in charge, but you're getting a second opinion from the robot.

Likewise, consider an AI tool that double-checks a radiologist's diagnosis of your chest X-ray and suggests a second look when its assessment doesn't match the radiologist's. Again, the human is in charge, but the robot is serving as a backstop and helpmeet, using its inexhaustible robotic vigilance to augment human skill.

That's centaurs. They're the good automation. Then there's the bad automation: the reverse-centaur, when the human is used to augment the robot.

Amazon warehouse pickers stand in one place while robotic shelving units trundle up to them at speed; then, the haptic bracelets shackled around their wrists buzz at them, directing them pick up specific items and move them to a basket, while a third automation system penalizes them for taking toilet breaks or even just walking around and shaking out their limbs to avoid a repetitive strain injury. This is a robotic head using a human body – and destroying it in the process.

An AI-assisted radiologist processes fewer chest X-rays every day, costing their employer more, on top of the cost of the AI. That's not what AI companies are selling. They're offering hospitals the power to create reverse centaurs: radiologist-assisted AIs. That's what "human in the loop" means.

This is a problem for workers, but it's also a problem for their bosses (assuming those bosses actually care about correcting AI hallucinations, rather than providing a figleaf that lets them commit fraud or kill people and shift the blame to an unpunishable AI).

Humans are good at a lot of things, but they're not good at eternal, perfect vigilance. Writing code is hard, but performing code-review (where you check someone else's code for errors) is much harder – and it gets even harder if the code you're reviewing is usually fine, because this requires that you maintain your vigilance for something that only occurs at rare and unpredictable intervals:

https://twitter.com/qntm/status/1773779967521780169

But for a coding shop to make the cost of an AI pencil out, the human in the loop needs to be able to process a lot of AI-generated code. Replacing a human with an AI doesn't produce any savings if you need to hire two more humans to take turns doing close reads of the AI's code.

This is the fatal flaw in robo-taxi schemes. The "human in the loop" who is supposed to keep the murderbot from smashing into other cars, steering into oncoming traffic, or running down pedestrians isn't a driver, they're a driving instructor. This is a much harder job than being a driver, even when the student driver you're monitoring is a human, making human mistakes at human speed. It's even harder when the student driver is a robot, making errors at computer speed:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

This is why the doomed robo-taxi company Cruise had to deploy 1.5 skilled, high-paid human monitors to oversee each of its murderbots, while traditional taxis operate at a fraction of the cost with a single, precaratized, low-paid human driver:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

The vigilance problem is pretty fatal for the human-in-the-loop gambit, but there's another problem that is, if anything, even more fatal: the kinds of errors that AIs make.

Foundationally, AI is applied statistics. An AI company trains its AI by feeding it a lot of data about the real world. The program processes this data, looking for statistical correlations in that data, and makes a model of the world based on those correlations. A chatbot is a next-word-guessing program, and an AI "art" generator is a next-pixel-guessing program. They're drawing on billions of documents to find the most statistically likely way of finishing a sentence or a line of pixels in a bitmap:

https://dl.acm.org/doi/10.1145/3442188.3445922

This means that AI doesn't just make errors – it makes subtle errors, the kinds of errors that are the hardest for a human in the loop to spot, because they are the most statistically probable ways of being wrong. Sure, we notice the gross errors in AI output, like confidently claiming that a living human is dead:

https://www.tomsguide.com/opinion/according-to-chatgpt-im-dead

But the most common errors that AIs make are the ones we don't notice, because they're perfectly camouflaged as the truth. Think of the recurring AI programming error that inserts a call to a nonexistent library called "huggingface-cli," which is what the library would be called if developers reliably followed naming conventions. But due to a human inconsistency, the real library has a slightly different name. The fact that AIs repeatedly inserted references to the nonexistent library opened up a vulnerability – a security researcher created a (inert) malicious library with that name and tricked numerous companies into compiling it into their code because their human reviewers missed the chatbot's (statistically indistinguishable from the the truth) lie:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

For a driving instructor or a code reviewer overseeing a human subject, the majority of errors are comparatively easy to spot, because they're the kinds of errors that lead to inconsistent library naming – places where a human behaved erratically or irregularly. But when reality is irregular or erratic, the AI will make errors by presuming that things are statistically normal.

These are the hardest kinds of errors to spot. They couldn't be harder for a human to detect if they were specifically designed to go undetected. The human in the loop isn't just being asked to spot mistakes – they're being actively deceived. The AI isn't merely wrong, it's constructing a subtle "what's wrong with this picture"-style puzzle. Not just one such puzzle, either: millions of them, at speed, which must be solved by the human in the loop, who must remain perfectly vigilant for things that are, by definition, almost totally unnoticeable.

This is a special new torment for reverse centaurs – and a significant problem for AI companies hoping to accumulate and keep enough high-value, high-stakes customers on their books to weather the coming trough of disillusionment.

This is pretty grim, but it gets grimmer. AI companies have argued that they have a third line of business, a way to make money for their customers beyond automation's gifts to their payrolls: they claim that they can perform difficult scientific tasks at superhuman speed, producing billion-dollar insights (new materials, new drugs, new proteins) at unimaginable speed.

However, these claims – credulously amplified by the non-technical press – keep on shattering when they are tested by experts who understand the esoteric domains in which AI is said to have an unbeatable advantage. For example, Google claimed that its Deepmind AI had discovered "millions of new materials," "equivalent to nearly 800 years’ worth of knowledge," constituting "an order-of-magnitude expansion in stable materials known to humanity":

https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/

It was a hoax. When independent material scientists reviewed representative samples of these "new materials," they concluded that "no new materials have been discovered" and that not one of these materials was "credible, useful and novel":

https://www.404media.co/google-says-it-discovered-millions-of-new-materials-with-ai-human-researchers/

As Brian Merchant writes, AI claims are eerily similar to "smoke and mirrors" – the dazzling reality-distortion field thrown up by 17th century magic lantern technology, which millions of people ascribed wild capabilities to, thanks to the outlandish claims of the technology's promoters:

https://www.bloodinthemachine.com/p/ai-really-is-smoke-and-mirrors

The fact that we have a four-hundred-year-old name for this phenomenon, and yet we're still falling prey to it is frankly a little depressing. And, unlucky for us, it turns out that AI therapybots can't help us with this – rather, they're apt to literally convince us to kill ourselves:

https://www.vice.com/en/article/pkadgm/man-dies-by-suicide-after-talking-with-ai-chatbot-widow-says

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/2024/04/23/maximal-plausibility/#reverse-centaurs

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 #ai #automation #humans in the loop #centaurs #reverse centaurs #labor #ai safety #sanity checks #spot the mistake #code review #driving instructor

[bioethicists]

it's quite offputting to me when ppl can't disentangle their hatred for capitalism from a hatred for... new technological innovation? the ways in which capitalism has shaped the development of certain technologies has been deeply negative, not to mention that imperialism ensures that new technology is usually produced via extractive relationships with both the planet + ppl in the global south.

but this weird tying of capitalist impact on innovation (+the idea of what is/is not innovation) to hatred of innovation itself (or even more disturbing valorization of "the good old days"/implications that technology is causing social degeneracy) is baffling to me. perhaps it is impossible to achieve specific technologies without unconscionable resource extraction practices, in which case they should not be pursued. but so many ppl act like there is something inherently morally suspect in pursuit of tech such as autonomous vehicles or AI or automation, independent of the material conditions that produced them/that they may produce.

tesla is evil because they exploit ppl for profit + participate in an economy built on the exploitation of the global south + use 'innovation' as a marketing tool to mask serious safety concerns. they're not evil bcuz they want to make vehicles that move on their own. there are actually a great deal of fantastic applications for vehicles which move on their own? equating technology with moral decay is not a radical position; you need a material analysis of why technological innovation has become characterized by harmful practices.

#just saw a truly tragic article abt a death related to self driving car #entire comments section SWAMPED with the implication that any attempts to create self driving cars is INHERENTLY EVIL #like. actually fully automated public transportation would be dead fucking useful #public transit is not currently fully automated + is extremely limited in many cities #im so tired of ppl who need the technology to also be BAD to call out the practices which produced it #things do not need to be black/white for u to understand that exploiting others is morally wrong...

[honeybeeffdrawshere]

He runs the kitchen in hq, which is about as stressful as you'd expect.

#spidersona #atsv #spiderman across the spiderverse #digital art #my art #oc #original character #csp #clip studio paint #character design #spider-gourmand #i do have a spidersona thats like an actual persona but ive redesigned them like 30 times n they still dont feel right #but gourmand? perfect man. #some Lore: #I imagine that a lot of tasks are automated but humans are still needed to supervise plan prep etc #defends the kitchen staff with his life whether theyre a volunteer or a regular #bc some spiders are assholes. other spiders are white boys who make the same jokes #about food they dont understand and it drives rene up a wall #he finds the multiverse very fascinating food-wise. for as much he complains about the job hes never turned #down a request from a spider for a dish specific to their home dimension #he believes strongly in the need to help yourself before you can help other people #which is why he gets absolutely pissed whenever spiders skip meals #what the fuck do you mean youll use your lunch break for another mission? who told you that? siddown.

[nemyzilla]

do i even need to caption this

#he is automobile. #he drives auto #automism??? #theme park ocs #oblivion #gardaland #rollercoaster oc #oblivion the black hole #oblivion: the black hole #oc meme #memes #oc #shitpost #my art #digital art

[djmankiewics1996]

holy craop homestar runner!! i love the part where you ran homestar!!! :3

I’m sorry, this tumblr user cannot respond as they are currently moving over 35 miles per hour, an obvious sign of driving. Please send your ask again at a future date.

[chill-band-folder]

At the Drive-In - One-Armed Scissor (2000)

#At the Drive-In #One-Armed Scissor #automated

[jettacar]

decided to draw me and a couple friends' automation cars, we ended up doing some races and challenges, and despite all odds, my SUV proved to have the superior performance!

#furry art #furry #art #car #suv #hatchback #compact #initial d #vehicle #automation #video games #driving #night

[dailydoseofcars]

#9 New car I made in Automation

THIS is the 2024 Velasco Super Swirling Concept, it comes from the fictional Brand Velasco which is a semi luxury brand similar to Cadilac and Lincoln

Velasco is owned by Powell Motors, another fictional company that makes more normal cars like dodge or Ford does, both Velasco and Powell are American.

The Super Swirling Concept shows what to expect from Velasco in the years to come. The design is supposed to be luxurious and the headlights are like wings.

Thank you for reading

#cars #automotive #concepts #automobile #automation #video games #gaming #vehicles #driving #fictional #2024

[asteamtechnosolutions]

Allen Bradley Kinetix 5500 Servo Drives (single-phase)

Delivering the performance and scalability you need to compete in today’s marketplace, our Kinetix 5500 Servo Drives help you achieve the most from your motion processes. With their innovative, compact design and EtherNet/IP communication, Kinetix 5500 Servo Drives help minimize machine footprint and simplify machine design, operation and maintenance. These versatile servo drives can help you deliver optimized operation in a wide range of single-axis or multi-axis applications from basic position moves to high-speed and coordinated motion solutions.

#automation #trending #tumblr trends #viral #viralpost #trendingnow #bestdeals #rockwell automation #allen bradley #Kinetix #5500servo drive #industrial automation #industry4.0 #business #networking #Youtube

[diseaseriddencube]

I guess i can't post videos forever now (glitched myself into hell whoops) so we're embedding this 😍

Here are some of the line changes I noticed in the german dub, big thanks to Keith for translating and correcting a few of these (followed by an apology to Keith for probably fucking the rest of the lines up myself)

#akudama drive #rave ramblees #i didn't include it #but there's two instances of cutthroat saying he loves when swindler stands up for herself..from what i understood #AND OF COURSE #TWO INSTANCES OF HIM WANTING TO GO HOME #WHERE. DO. YOU. LIVE??????? #i'm sorry half this video is cutthroat #either he has more changed lines or i naturally listen to him more closely #i'm sure there's at least double the amount of different lines elsewhere #but alas. my german teacher sucked and i'll simply never notice them 😔😔 #Youtube #< get that nasty ass automated tag OUT OF HERE

[confinesofmy]

btw you know that post that's like romanticisation is the key to happiness? or whatever? if you struggle with executing that for yourself you can go on tiktok and look up whatever you're going through and find endless videos of other people dressing it up and making it look #aesthetic and it's amazing how much it'll make you feel better.

#i looked up how to wash clothes by hand today and didn't actually learn any new strats but it did make me feel so much more like a person #thank you young black american woman living in a suburban home washing clothes in a sterilite tote in her bathtub #thank you mexican woman washing clothes on a rooftop with a bucket a washboard and some zote #thank you disabled woman living in an apartment who can't drive herself to the laundromat or rely on others all the time #and a big fuck you to big laundry for making it seem like $500 isn't a large investment in a machine that automates this process #that isn't even that hard to begin with #i hope to return to fully automated washing soon but there's nothing wrong with washing clothes the way millions of people do every day #adam talks too much

[gibbearish]

i have been on hold with rite aid. for an hour and 15 minutes

#the automated system. spent 30 minutes telling me i was the 3rd person in line and i am now the second #for the LAST half hour #so either the phone system is lying to me abt how many people are in line. or these fucks need to just drive to the store #because whatever their issues are they do not appear to be getting solved over the phone #pls i just want my t

[strictly-confectional]

starbucks emailing me like hey you wanna come work in fuckin ummmmmmmmmmmmmmmmm illinois?

#heart2heart #i know that was probably automated but like girl hold on i wanna hear back about the position i Actually applied for before i go jumping- #-into jobs the next state over /j #(the joke is thats a NINE HOUR bus ride i literally cant go work at a sbux in illinois bc i dont DRIVE) #(even if i DID DRIVE surely i can get in at a starbucks that isnt 1hr 10m away by car!! theres so many of them!!!)

[taki-producktions]

Hello Tumblr. I’ve probably re-blogged a few things already but this is my first real post.

I am Taki, I am an automotive enthusiast and sometimes I make my own cars using Automation and BeamNG.drive

#furry fandom #car enthusiast #beamng drive #automation - the car company tycoon game #duck

[viiridiangreen]

RARE TECH-RELATED VIRI W

i was gonna Fucking Lose It if these were gone tbh.

#viitalks #i know i need a better solution lol #bc my art to-do being stuck in an uncaring corporation's mitts is. Not Ideal #like either stop being a fucking Image Hoarder (HOW??? I'M A SELF TAUGHT VISUAL ARTIST WITH ANXIETY?) #or invest in a bigass multiTB drive just as an inspiration bank #but... that's Slightly Outside my budget for now -_- #and the site in general is a cesspool of unattributed low res work. i don't use it as much these days but idk a faster way to save shit- #from the browser of any device i happen to be on #that doesn't annihilate my storage #also i made my account as a teenager and i wouldn't want to lose the time capsule aspect of it either #just one more problem to throw money at if i ever come by it i guess. lmao #like... the irony of this scare is great too. like #i only got flagged for spam bc i was using an automated tool to slowly pin one image a minute off of my weheartit collections #bc weheartit is going DOWN like it's shutting down & deleting everyone's shit #and those are MORE nostalgic bc i used WHI more than pinterest in my mid teens #like..... #yeah. #there's stuff i actively wanna revisit #related to like. Deviantart Adoptable Critters #but also like early identity development lmao i. identified rly strongly with my silly misattributed unlawfully reposted images #like if i put anything up in my childhood bedroom walls it'd get Scrutinised and Destroyed #so... it was my version of cringefail teen posters #made even dearer by the need to hide them from fundie abusers #so............ #idk i'm prolly unhealthily attached to these things but #there's gotta be a way to unfuck the situation & still keep like #the adult improving artist version of reference image treasure troves #idk lol