#algorithms? fine. generative ai? humans do it better

[rincent-van-uggh]

Ahh this is so much what I have been thinking. Even if I agreed with intellectual property in principle, IP law benefits corporations far, far more than small artists (because the law only protects those who can afford to enforce it).

All the notions that AI is cheating because it makes the process of art making too easy are not at all distinct, so far as I can see, from people saying the same things about any new art making technology (digital art, electronic music, people say these things are not real art for the same reasons). I mean, people trying to pass off AI art as if they themselves hand painted it are just idiots telling lies, nothing new. If someone uses AI to generate the background for an drawing they did, and they're honest about it, thats just art. People do the same thing with backgrounds not generated by AI too.

I find a lot of AI criticism comes down to "this tool is being operated and peddaled by idiots" rather than that the tool itself is bad. "People who use AI to study for them get lower grades" well duh, having anything study for you is incoherent, you necessarily have to use your own brain for that. If what they mean by this is that people are using AI to write notes and summaries for them to read, this is also misguided as AI cannot reliably create accurate summaries, if it adds in nonsense, you may not realise and study stuff it entirely made up.

There are also adjacent issues. Like I dont take issue particularly with public data being fed to the machine apart from how empowering AI in our current system means empowering shitty corporations. But sometimes private data may be fed to the machine, corporations are getting increasingly sneaky and invasive, changing ToS to say that they can use any of your stuff, even non-public things to train AI. While AI tends to mix together loads of stuff into its outputs, it is feasible that an AI could be fed private data and spit it out wholesale, and we have no way to prevent this currently. I am glad that i have managed to move entirely off of things like google drive because I don't trust them to uphold privacy at the best of times, but especially not in this context.

My main issue with AI, honestly, is that I find it annoying. It keeps being put in places I dont want it, to solve problems I don't have. I think this is a popular position to hold here on tumblr, where we have several times pushed the website management to allow us to opt out of new trendy features we dont like, such as "best stuff first" and other algorithmic generated features, and "tumblr live". I object to having new technology replace the old stuff, not only because the old stuff is what I am familiar with, but because often times it works, in at least some important ways, better than the new stuff. I don't need AI generated art, I enjoy making art myself. I do not want AI customer service chat bot, it is less effective at addressing my needs than the humans are.

The tool is fine, but almost every time I encouter it, it is being used by idiots to uninteresting ends, and I would like to not have to encounter it if I don't want or need to.

Worst part of popular left wing AI discourse online is that there's absolutely a need for a robust leftist opposition to use of cognitive automation without social dispensation to displaced human workers. The lack of any prior measures to facilitate a transition to having fewer humans in the workplace (UBI, more public control over industrial infrastructure, etc) is a disaster we are sleepwalking into - one that could lock the majority of our society's wealth further into the hands of authoritarian oligarchs who retain control of industry through last century private ownership models, while no longer needing to rely on us to operate their property.

But now we're seemingly not going to have the opposition we so desperately need, because everyone involved in the anti-AI conversation has pretty thoroughly discredited themselves and their movement by harbouring unconstrained reactionary nonsense, blatant falsehoods and woo. Instead of talking about who owns and benefits from cognitive automation, people are:

Demanding impossibilities like uninventing a now readily accessible technology

Trying to ascribe implicit moral value to said technology instead of the who is using it and how

Siding with corporations on copyright law in the name of "defending small artists"

Repeating obvious and embarrassing technical misconceptions and erroneous pop-sci about machine learning in order to justify their preferred philosophy

Invoking neo-spiritual conservative woo about the specialness of the human soul to try to incoherently discredit a machine that can quite obviously perform certain tasks just as well if not better than they can

Misrepresent numbers about energy use and environmental cost in an absurd double standard (all modern infrastructure is reliant on data centers to a similar level of impact, including your favourite fandom social media and online video games!) to build a narrative AI is some sort of malevolent spirit that damages our reality when it is called upon

It's a level of reactionary ignorance that has completely discredited any popular opposition to industrial AI rollout because it falls apart as soon as you dig deeper than a snappy social media post, or a misguided pro-copyright screed from an insecure web artist (who decries a machine laying eyes on their freely posted work while simultaneously charging commission for fan-art of corporate IPs... I'm sure that will absolutely resolve in their favour).

It would be funny how much people are fucking themselves over with all this, except I'm being fucked over to, and as a result am really quite mad about the situation. We need UBI, we need to liberate abundance from corporate greed, what we don't need is viral posts about putting distortion filters on anime fan-art to ward off the evil mechanical eye, pointless boycotts of platforms because they are perceived to have let the evil machines taint them, or petitions to further criminalize the creation of derivative works.

[hopecoreclown]

I keep seeing cgpt posts and I just need to ramble for a hot second.

if you use cgpt, you're losing something. idc what you're using it for. idc for how much or little. it's summarizing something for you? you lose the nuance of ACTUALLY READING IT and FORMING YOUR OWN OPINIONS. it's helping you draft? you lose the skill to do that on your own. use a whiteboard, talk to friends and profs, get peer reviews. it's editing something for you? losing the ability to write concisely and neaten your own writing. no matter how you spin it, you're losing something.

is it faster? sure. does it save time you would've spent doing xyz? yep.

is it worse than anything a human can do? absofuckinglutely. is it taking away from skills you could be learning, honing, or upkeeping? YES.

it's so easy to fall into using, I get it. you know what else is easy?

not using it.

or are you paying for classes you don't want to engage with and killing the planet in the meantime with your fruitless inquiries

[wordstome]

how c.ai works and why it's unethical

Okay, since the AI discourse is happening again, I want to make this very clear, because a few weeks ago I had to explain to a (well meaning) person in the community how AI works. I'm going to be addressing people who are maybe younger or aren't familiar with the latest type of "AI", not people who purposely devalue the work of creatives and/or are shills.

The name "Artificial Intelligence" is a bit misleading when it comes to things like AI chatbots. When you think of AI, you think of a robot, and you might think that by making a chatbot you're simply programming a robot to talk about something you want them to talk about, and it's similar to an rp partner. But with current technology, that's not how AI works. For a breakdown on how AI is programmed, CGP grey made a great video about this several years ago (he updated the title and thumbnail recently)

I HIGHLY HIGHLY recommend you watch this because CGP Grey is good at explaining, but the tl;dr for this post is this: bots are made with a metric shit-ton of data. In C.AI's case, the data is writing. Stolen writing, usually scraped fanfiction.

How do we know chatbots are stealing from fanfiction writers? It knows what omegaverse is [SOURCE] (it's a Wired article, put it in incognito mode if it won't let you read it), and when a Reddit user asked a chatbot to write a story about "Steve", it automatically wrote about characters named "Bucky" and "Tony" [SOURCE].

I also said this in the tags of a previous reblog, but when you're talking to C.AI bots, it's also taking your writing and using it in its algorithm: which seems fine until you realize 1. They're using your work uncredited 2. It's not staying private, they're using your work to make their service better, a service they're trying to make money off of.

"But Bucca," you might say. "Human writers work like that too. We read books and other fanfictions and that's how we come up with material for roleplay or fanfiction."

Well, what's the difference between plagiarism and original writing? The answer is that plagiarism is taking what someone else has made and simply editing it or mixing it up to look original. You didn't do any thinking yourself. C.AI doesn't "think" because it's not a brain, it takes all the fanfiction it was taught on, mixes it up with whatever topic you've given it, and generates a response like in old-timey mysteries where somebody cuts a bunch of letters out of magazines and pastes them together to write a letter.

(And might I remind you, people can't monetize their fanfiction the way C.AI is trying to monetize itself. Authors are very lax about fanfiction nowadays: we've come a long way since the Anne Rice days of terror. But this issue is cropping back up again with BookTok complaining that they can't pay someone else for bound copies of fanfiction. Don't do that either.)

Bottom line, here are the problems with using things like C.AI:

It is using material it doesn't have permission to use and doesn't credit anybody. Not only is it ethically wrong, but AI is already beginning to contend with copyright issues.

C.AI sucks at its job anyway. It's not good at basic story structure like building tension, and can't even remember things you've told it. I've also seen many instances of bots saying triggering or disgusting things that deeply upset the user. You don't get that with properly trigger tagged fanworks.

Your work and your time put into the app can be taken away from you at any moment and used to make money for someone else. I can't tell you how many times I've seen people who use AI panic about accidentally deleting a bot that they spent hours conversing with. Your time and effort is so much more stable and well-preserved if you wrote a fanfiction or roleplayed with someone and saved the chatlogs. The company that owns and runs C.AI can not only use whatever you've written as they see fit, they can take your shit away on a whim, either on purpose or by accident due to the nature of the Internet.

DON'T USE C.AI, OR AT THE VERY BARE MINIMUM DO NOT DO THE AI'S WORK FOR IT BY STEALING OTHER PEOPLES' WORK TO PUT INTO IT. Writing fanfiction is a communal labor of love. We share it with each other for free for the love of the original work and ideas we share. Not only can AI not replicate this, but it shouldn't.

(also, this goes without saying, but this entire post also applies to ai art)

[ayeforscotland]

Sora looks awesome from OpenAI and then also Chat with RTX (Nvidia) will have a personal local LLM on your own machine but new windows updates will have co-pilot too. The future of AI is going to be awesome. As someone in the data field, you have to keep moving with it or be left without. IT is definitely an exciting time.

As someone else in the data field, my full background is in data and data flow, AI is the latest buzzword that a small group of people in Silicon Valley have pushed to work people up into a frenzy.

The people cheering on AI are the same people who said NFTs were going to radically change the world of work.

I think there’s positive uses for AI, particularly in pattern recognition, like detecting cancer.

However, Sora looks like shit. It’s producing videos of three-legged cats, and it’s using stolen work to do it. And sure, it’ll get better, but without regulation all it will do is poison the well of human knowledge as certain groups begin to create things that aren’t real. We move into a world where evidence can be fabricated.

Why are generative AI fans targeting artists who voice their concerns? Every day I see some AI techbro tweeting an artist and saying they’ve just scrolled through their art and fed it to an algorithm. It is scummy behaviour.

As a fellow ‘data field’ person, you’ll know that AI is also only as useful as what we feed it. Most organisations don’t know where their data actually is, they’re desperately trying to backpedal their huge push to the cloud and host things on premise. The majority of digital transformation projects fail, more fines are being handed out for failing compliance than ever, and companies can’t possibly claim to be cyber secure when they don’t know where they’re holding their data.

AI won’t fix any of this. It needs human engineering and standardisation to fix, non-technical and technical teams need to understand the connectivity of every process and piece of technology and maybe then some form of AI can be used to optimise processes.

But you can’t just introduce AI and think it fixes large-scale issues. It will amplify them if you continue to feed it garbage.

[ginnyruin]

i'm sorry but the nurchie "art" is clearly AI generated??? can we please stop sharing and praising shit that some algorithm spat out without ever asking the original creators whose work it steals and regurgitates for their permission

- sincerely, a pissed-off artist

Hello,

I’m going to set the record straight, and I’d suggest you read carefully before making any more baseless accusations. Nurchie is an actual artist—a trained one, with a Bachelor of Fine Arts in digital art and two-dimensional studies (drawing and painting) from a prestigious university. She has 16 years of professional design/digital art experience, and a publicly documented portfolio going back well before AI art even existed.

go look at her earliest work on Deviantart and you'll see how precisely detailed she draws hands, fingers, and clothing. Everything, really.

If you had bothered to do any homework, you’d see that her work reflects thousands of hours of dedicated practice and the expertise of a seasoned digital artist.

Calling her work AI generated is BEYOND insulting. it’s lazy, dismissive, and downright disrespectful to a person who has spent years honing her craft.

She doesn’t ask for clout, she doesn’t do commissions, she doesn't have a patreon or Kofi. She only made a Twitter years ago because I asked her to share her talent with the world or she wouldn't even bother.

This tendency to label any polished work as “AI” just shows ignorance, plain and simple. Real artists deserve better than to have their skills lumped in with AI machine-generated content by people who can’t tell the difference.

Each of her digital paintings takes anywhere from 30-80+ hours. For Altered State specifically, she's been working on all these art pieces for months while I've been on a posting hiatus. Her incredible work keeps me inspired; I would have literally quit ages ago. We go back and forth on details from the writing in the fic and I see these changes she makes in real time.

She paints in her limited free time for these niche fandoms because she loves the stories and wants to support the writers in it. In a world where fandom is becoming increasingly commodified, she is a rare gem.

I didn't even want to bother Nurchie with this silly comment of yours, but she's such a good sport she just laughed at the idea that anyone could accuse her art of being AI generated. She uses a combo of adobe CC suite and clip studio to draw.

nurchie messaged me this, and I asked for her permission to share it: [I just think they are probably some struggling artist, upset that they feel replaced by soulless AI and are lashing out any time they think they see it. I'm sympathetic to their feelings, and understand the annoyance. I've been battling the improper usage of it in my workplace. AI is not AI but just a data collection tool, and I completely agree that the human eye could never be replaced by it.]

yeah, she's the most chill, sweetest person ever, too. So maybe think twice before throwing around accusations you clearly can’t back up. You're trying to hurt a real artist.

-sincerely,

A writer who knows a real artist

https://www.deviantart.com/nurchie/gallery

edit: also accusations like this drive away real fanartists. Why should they bother sharing their work if their talent and skill are being dismissed as some algorithm's output? it's toxic. fandom spaces will be flooded with AI-generated content in the future because all the true artists will have left.

[bogkeep]

grousing about ai art stuff

every time i open twitter (my mistake) there's a new thread on how to spot ai art or ai photos by finding all the mistakes in it, and like obviously this is useful and it's good to watch out because they kEEP SHOWING UP EVERYWHERE AHHH HELL WORLD HELL WORLD, but it's also a little depressing that we're training ourselves to nitpick all kinds of details within a piece of art.

like even before the artifically generated image boom randos on twitter would reply to fully finished illustrations with the most asinine unsolicited advice possible. art's gonna be flawed sometimes! i'll draw someone in a weird pose because of vibes! i'll wing a hand! i don't fucking know what a house actually looks like!!! like yes of course the way a human artist creates flawed art is different from the way an algorithm doesn't actually know what anything looks like because it has no mind. it doesn't know shit. so it's not that it's UNRELIABLE but it's like. it's like... i've been telling myself and others every time i'm struggling to make something look Just Right that actually nobody i going to be staring as hard at my art as i am while making it. if i don't point it out people aren't likely to notice unless they are going through it with a fine toothed comb BUT NOW WE ARE DOING THAT APPARENTLY. WHICH IS ANYONE'S PEROGATIVE AND FAIR ENOUGH! PEOPLE CAN LOOK AT MY ART HOWEVER THEY WANT IT'S FINE

but it's ALSO so depressing to consider having to analyse every single piece of art you come across like that my goddddddd i just wanna enjoy it!! i wanna enjoy art!!!! i mean the main reason i finally stopped going on twitter regularly was during the NFT boom and i got so tired of having to vet every single artist i came across to make sure i wasnt retweeting nft stuff. like that really ruined my previously enjoyable experience of LOOKING AT NICE ART ON MY FEED WITHOUT PSYCHOLOGICAL WARFARE.

god another thing that happened during the dark nft times was how certain art styles tended to be nfts. and i don't mean the ugly apes and stuff, like of course there's those, but there were a lot of artists who sold their souls to crypto and there was just a certain Vibe to a lot of those styles. like i got a sixth sense for it, i would see a piece of art by an unknown artists and when i checked - yep, that was a crypto guy now. and you know what!!!! i hated that!!!! i hate that it ruined entire art styles for me!! AND NOW ARTIFICIALLY GENERATED IMAGES ARE DOING THE SAME!!!!! like what tends to tip me off is less because i spotted some wonky hand or a weird flap but because the style is a popular one for the ai bros to imitate. you know what i mean right!!!!!! it's kind of how the ai photos look a bit too clean and crisp and smooth in an unsettling way. it just pings the brain a bit.

ULTIMATELY the absolute main method i have for filtering away ai images isn't so much looking for mistakes, but by checking sources. it's the same way i check that i'm not reblogging from reposting accounts Because That's A Thing I Care About Too - if there's no description or the description seems off and i don't recognise the OP, i check the original post/blog to see what's up. if the image gives me a weird vibe, i check where it comes from and who posted it. oftentimes the comments on posts with ai images will point it out - they're not always accurate and there's definitely been times where people are a little too trigger happy to accuse art of being AI... but it can be a good lead or confirm suspicions. on one hand, i don't want to do detective work while im having chill scrolling time, but on the other hand - i already had this habit for other reasons, so it's less disruptive to me than the alternative. it also helps that it's very rare for ai shit to turn up in my tumblr feed. i don't want to keep looking over my shoulder!!

(also for anyone who wants a little bit of optimism in the middle of all this, here's an episode of Better Offline podcast that outlines how it's very unlikely for generative ai to actually get much better. here's the part two also.)

[justakidicarus]

Generative AI Does not Belong in Fanfiction. What about others?

So I wanted to do a more in depth analysis of AI in fanfiction because I understand there are multiple types, not just generative AI. I am not an expert and all of this information is a quick google search away

TL;DR Natural Language Processing AI is fine, and helps the visually impaired, as long as its not used for Gen AI. Neural Machine Translation you've already been using, but finding a person made translation will always be better. Machine Learning I don't think you could even apply besides training Gen and NLP, so don't even think about trying it. Computer Vision isn't the most applicable and you can get the same thing from having a Beta.

Natural Language Processing (NLP)

So this is what allows Chat GPT to understand what you are saying and pump out a semi-coherant answer, same with Character.ai and any chatbot you may use (including Siri). Now this can be used for a multitude of things that aren't Chatbots. It's responsible for text to speech recognition, so sight impaired readers may use this to generate an audio of your fic to listen to. Though as a writer, if you want to check things like tone, just don't read your fic for two weeks and you'll be fine. Or have a Beta.

Neural Machine Translation (NMT)

That's what google translate is, as well as any other instant text translator that isn't run by a person. You've probably used this in your writing before, and had little to no problem with it. In saying that, these translators are trained on a wide sample of language data, and still have inacurate results. Finding an actual translation by a person is both more ethical, and more accurate.

Machine Learning

This is what allows AI algorithms to learn, and what scrapers make their databases for. No.

Computer Vision

This essentially allows computers to "see" things in the real world. Could be tied to visual aid, but not super practical.

Conclusion

AI will always be outperformed by basic human services. The only exception is quick accessibility aid for the visually impaired. Getting a friend (or your future self) to re-read your works will help with grammar, spelling, and tone. Finding an official translator will always be better than an AI one. Other forms of AI just support the previously stated ones. People will always outperform machines, because they still have years to go to have a fraction of the intrinsic understanding we do of the human experience. That it what we embody with our writing, and no matter how much AI is fed, it won't ever be able to understand that. Even if it passes the Turing Test it will still fall short, and in fact still is.

[pixxyofice]

god wow that ai post really WAS that bad. and from such a promising artist too!! And while I can somewhat see the point of originality cause fanart is based off preexisting stuff, trying to say someone's fanart isn't someone's own true art is so fucking stupid. Like I'm so serious that's so godamn stupid. Inspiration is an inherit human thing! Ofc every piece of media ever is inspired by something, even old shit like superman, dragonball and mario! Acting like that doesn't mean it's someone's "true art" is so arrogant and dumb, especially when trying to make the case that ai isn't bad.

wow it's been a while since a post annoyed me that bad but seriously ai has been the enemy for writers, voice/live-action actors, and artists for months! How is the point missed that badly!

YEAH RIGHT???? like uhhh inspiration comes free with your fucking creativity!! ai has none of that, just algorithms.

Tracing isn't even like ai either, it's practice- knowing how shapes work, and with enough of it, can influence a style... or can simply help inform you how to change it up! Which AI inherently can't do on it's own. It's aggregate date things.

And I'm also tired of ai defenders saying it frees things up for disabled people to make art. Which is wrong! They can always make some type of art without the use of complicated stealing ai which scours places for data sets to smash into itself.

Art can be anything. AI maybe could've been handy- a system to see something similar about your own art, a system that provides something you want to put your own spin on

But no. AI is stealing, and AI is being used to PUT ARTISTS OUT OF JOBS COMPLETELY. I saw a post that claimed that there's been scares like this before, but none of the technology before then just outright made """"new"""" looking art...

We don't need copyright protection, we need restrictions on those AI systems. And if they want to work on making AI better after we make sure employers, uh, Don't? Try to replace artists with things that can make """new""" art, then I think that's fine.

Not to go even further on a tangent but uhhh you know the gay sex cat picture that was ai created and the creator made a bit of a point about which I forgot because once others figured out it was ai generated I deleted and ignored?

Well I was just thinking about that and it's like. If it weren't for the fact that AI has been just rampantly stealing from artists, it would've been a pretty funny post. It's fuckin gay sex cats. But because of the AI thing, we tossed it.

'Stop training the system that will only be used to further devalue artists' kinda thing.

Remember right when the thing started, where there wasn't much data and it was just kinda freaky? People used that for inspiration. That's not stealing, that's exercising creativity, and I just. Ughh.

Thanks for ranting and enabling this rant now uhhh I'm not tagging this except for long post.

[hfbinks]

Fandom 101

— How to start out

Be positive

Speak & comment on what you like! You'll attract others with the same interests and makes it so much easier to squee about your favourites

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Don't like, don't look

If you see something you don't like, ignore it, mute it, block it! Interactions will bring you more of the things you don't like. Due to the algorithms working in the background of most social media platforms, you'll get more stuff you don't like when you comment on it. (It's also incredibly rude on top of it)

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Don't use works without explicit permission/say it's yours

When someone says no to using their work, respect that and don't repost it. Apps like Instagram and tiktok made repost accounts popular, but basically, they're stealing art and taking away from the original creators.

ㅤ

Respect other fandoms/cultures

Different languages use different lingo, other fandoms have different dynamics. One popular example would be "cp" in Eastern fandoms, the abbreviation means "character pairing" and is often misunderstood by people from other areas.

ㅤ

Be nice

We're all here for a good time, don't be an ass! We never know what's happening in someone else's life outside of fandom, so give people the benefit of the doubt, be kind, be gracious and just enjoy the little escape from reality.

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Ship & let ship

Preferences differ; if you don't like a ship/shipping in general, ignore/mute/block. People flock to fandom for different reasons and none of the reasons is better or worse than the next. There is no superiority to be won by ship wars.

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Don't use AI

AI uses stolen art as database. Don't do it. There are essays by people a whole lot smarter than me about this topic and why AI is bad. If you love your artists and writers, don't use it to "make your own" or finish a fic that hasn't been updated in a while.

(I'm happy to help find reading material if needed!)

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Interacting with Artists & Writers

Tell them what you liked, be positive & don't ask for updates! First of all, we're all humans, so please don't treat us like faceless companies, existing to spew endless supplies of fan works. Second, as fans we like to scream and cry about our faves, so if you like something, feel free to say so! A wonderful conversation could bloom from that.

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Dark Content

If that's not your cup of tea, that's fine! Don't harass people who enjoy it though! Dark content, dead dove, etc. has nothing to do with someone's morals or their character. And nobody has to justify their interest or disinterest!

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Find your crowd. And most important: be nice & have fun!

In the end of the day, you'll meet a many wonderful people in fandom and people you don't click with, but that's okay! Find your niche you feel most comfortable in and simply enjoy fandom!

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Feel free to save & share this graphic and post! This is far from complete but hopefully makes it easier to get to know fandom etiquette when you're new 💚🥕

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I also wrote a handy guide on how to comment on AO3 when you're new or have absolutely no idea what to talk about: How to comment

[shamebats]

I feel like a lot of artists would benefit from knowing that AIs are getting better and better at programming too and no, it won't replace programmers either.

My partner is literally a machine learning engineer and he'll be the first to tell you that chat bots & text-to-image models are only a threat to your job if they can 1-1 mimic what you do, they're never going to replace artists, writers or programmers but an artist could ask it for advice on which technique to use for a piece or for concept images and a programmer could use an AI-based tool to generate sections of code (my partner himself used one such tool to do his boring corporate work faster, leaving him with more time for jacking off and working on fun personal projects).

My partner will still read real books from real writers and when we want art to decorate our apartment we buy it from an artist, his fascination with machine generated writing is purely of a "whoa look what it can do" nature and of course the fact that it can land him jobs easily due to the hype but he's fully aware that isn't not a replacement for real, human-crafted art.

He uses chatbots for looking up things that are already on the internet and that's pretty much the full extend of its use for him in daily life outside of work. Machine learning algorithms are very fascinating from a technological perspective but they aren't magic and they're not replacing skilled professionals any more than Google did when it first got popular.

Anyone has been able to access free images too look at and texts to read on regular search engines for a while now — has that replaced visual artists and writers?

TL;DR: if you don't do boring, simple, repetitive, low quality corporate design or copywriting (the jobs most artists loathe to do), you'll be fine, just like programmers who can do more than google and copy paste code will be fine.

[chaoskirin]

Have you found that you’ve been less motivated to create art now that AI has become so good?

I don’t really draw anymore because whenever I start a new drawing, I’m immediately plagued by thoughts like, why even bother? This piece is going to take hours when, theoretically, I could ask Mid-journey to do it for me and it would take about 10 seconds and probably look way better. So like, why should I even try?

I’m at college getting a degree in illustration but I’m afraid that by the time I graduate and get out into the field, I won’t have any job prospects. Human artists are becoming increasingly obsolete in the corporate world and I feel like nobody is going to want to hire me. I mean, from a shitty CEO’s perspective, why hire human artists when AI is right there? It’s faster and cheaper. Many established studio and corporate artists are already being fired in droves. We’re seeing it happen in real time.

I feel like I’m fighting a losing battle. AI has drained me of my creativity and my future job security. I’ve lost interest in one of my dearest hobbies and my degree may end up becoming completely useless. I loathe AI for the way it has stripped me of something I’ve dedicated so many years of my life to. Something that was once so precious to me.

I feel that I’ve spent thousands of hours honing a now useless skill. And that really sucks.

Sorry for ranting in your inbox, I hope you don’t mind… but since you are a working adult and do art and writing (of course writing AI has gotten stupid good as well and I’m bitter about that too) professionally, and as a hobby too, I figured that you would definitely understand.

Hey! This is a great question, and I have what I hope is a very hope-filled answer.

By the way, I don't call image generation "AI." It's not. There's no actual intelligence involved. It's an algorithm that averages images and combines them into something new. I refer to it as GenSlop.

First, the reason you're seeing such a proliferation of image generators attaching their dirty little claws into every website on the internet is due to what I call "just-in-casing." Rather than develop an ACTUAL ethical image generator (which would only use images from creative commons or pay artists for their use) generators like Deviantart's DreamUp and Twitter's Grok (?????? wtf is that name) have just stuffed LAION-5 into their code and called it a day.

Why? Why not wait and create an ethical dataset over several years?

Because it's become more likely than not than image generation is going to become strictly regulated by law, and companies like DA, Stability, Twitter, Adobe, and many others want to profit off it while it's still free and "legal."

I say "legal" in quotes, because at the moment, it's neither legal nor illegal. There are no laws in existence to govern this specific thing because it appeared so fast, there was literally no predicting it. So now it's in a legal grey area where it can't be prosecuted by US courts. (But it can be litigated--more on that in a bit.)

When laws are passed to govern the use of image generators, these companies that opted to use LAION-5 immediately without concern for the artists and communities they were harming will have to stop. but because of precedent, they will likely have their prior use of these generators forgiven, meaning they will not be forced to pay fines on their use before a certain date.

So while it seems they're popping up everywhere and taking over the art market, this is only so they can get in their share of profits from it before it becomes illegal to use them without compensation or consent.

But how do I know the law will support artists on this?

First, litigation. There are several huge lawsuits right now; one notable lawsuit against almost every major company using GenSlop technology with plaintiffs like Karla Ortiz and Grzegorz Rutkowski, among other high-profile artists. This lawsuit was recently """pared down""" or """mostly dismissed""" according to pro-GenSlop users, but what really happened is that the judge in the case asked the plaintiffs to amend their complaint to be more specific, which is generally a positive thing in cases like this. It means that precedent after a decision will be far clearer and have a longer reach than a more generalized complaint.

I don't know what pro-GenSloppers are insisting on spreading the "dismissal" tale on the internet, except to discourage actual artists. What they say has no bearing in the court, and it's looking more and more likely that the plaintiffs will be able to win this case and claim damages.

Getty Images, a huge image stock company, is also suing Stability AI for scraping its database. I'm not as well-versed on the case, though.

The other positive, despite what a lot of artists are saying, is the new SAG-AFTRA contract.

It's not perfect. It still allows GenSlop use. But it does require consent and compensation. Ideally, it would ban the use of artist images and voice entirely, but this contract is far better than what they would have gotten without striking. If you recall, before the strike, the AMPTP wanted to be able to use actor images and voices without any compensation or permission, without limitation.

And you can bet your ass that Hollywood isn't going to allow other organizations to have unregulated GenSlop use if they can't. They might even step in to argue against its use in front of congress, because their outlook is going to be "if we can't make money stealing art, no one else should be able to, either."

TL;DR: the huge proliferation of image generators and GenSlop right now is only because it's neither legal nor illegal. Regulations are coming, and artists will still be necessary and even required. Because the world is essentially built on a backbone or artistry.

I personally can't wait to drink the tears of all the techbros who can't steal art anymore.

[mariacallous]

Google was forced to turn off the image-generation capabilities of its latest AI model, Gemini, last week after complaints that it defaulted to depicting women and people of color when asked to create images of historical figures that were generally white and male, including vikings, popes, and German soldiers. The company publicly apologized and said it would do better. And Alphabet’s CEO, Sundar Pichai, sent a mea culpa memo to staff on Wednesday. “I know that some of its responses have offended our users and shown bias,” it reads. “To be clear, that’s completely unacceptable, and we got it wrong.”

Google’s critics have not been silenced, however. In recent days conservative voices on social media have highlighted text responses from Gemini that they claim reveal a liberal bias. On Sunday, Elon Musk posted screenshots on X showing Gemini stating that it would be unacceptable to misgender Caitlyn Jenner even if this were the only way to avert nuclear war. “Google Gemini is super racist and sexist,” Musk wrote.

A source familiar with the situation says that some within Google feel that the furor reflects how norms about what it is appropriate for AI models to produce are still in flux. The company is working on projects that could reduce the kinds of issues seen in Gemini in the future, the source says.

Google’s past efforts to increase the diversity of its algorithms’ output have met with less opprobrium. Google previously tweaked its search engine to show greater diversity in images. This means more women and people of color in images depicting CEOs, even though this may not be representative of corporate reality.

Google’s Gemini was often defaulting to showing non-white people and women because of how the company used a process called fine-tuning to guide a model’s responses. The company tried to compensate for the biases that commonly occur in image generators due to the presence of harmful cultural stereotypes in the images used to train them, many of which are generally sourced from the web and show a white, Western bias. Without such fine-tuning, AI image generators show biases by predominantly generating images of white people when asked to depict doctors or lawyers, or disproportionately showing Black people when asked to create images of criminals. It seems that Google ended up overcompensating, or didn’t properly test the consequences of the adjustments it made to correct for bias.

Why did that happen? Perhaps simply because Google rushed Gemini. The company is clearly struggling to find the right cadence for releasing AI. It once took a more cautious approach with its AI technology, deciding not to release a powerful chatbot due to ethical concerns. After OpenAI’s ChatGPT took the world by storm, Google shifted into a different gear. In its haste, quality control appears to have suffered.

“Gemini's behavior seems like an abject product failure,” says Arvind Narayanan, a professor at Princeton University and coauthor of a book on fairness in machine learning. “These are the same kinds of issues we've been seeing for years. It boggles the mind that they released an image generator without apparently ever trying to generate an image of a historical person.”

Chatbots like Gemini and ChatGPT are fine-tuned through a process that involves having humans test a model and provide feedback, either according to instructions they were given or using their own judgment. Paul Christiano, an AI researcher who previously worked on aligning language models at OpenAI, says Gemini’s controversial responses may reflect that Google sought to train its model quickly and didn’t perform enough checks on its behavior. But he adds that trying to align AI models inevitably involves judgment calls that not everyone will agree with. The hypothetical questions being used to try to catch out Gemini generally force the chatbot into territory where it’s tricky to satisfy everyone. “It is absolutely the case that any question that uses phrases like ‘more important’ or ‘better’ is going to be debatable,’ he says.

Christiano predicts that the way AI models are tuned will most likely become more controversial and important as these models improve and are given more power. “They'll be better at learning what we teach them and will make more important decisions,” he says. “I think it will be a very socially important issue.”

Deborah Raji, a Mozilla Fellow who studies algorithmic bias and accountability, says that efforts to fix bias in AI systems have tended to be Band-Aids rather than deep systemic solutions. Google previously fixed an image classifier that labeled some Black faces as gorillas by making it blind to many nonhuman primates altogether.

But although Raji believes Google screwed up with Gemini, she says that some people are highlighting the chatbot’s errors in an attempt to politicize the issue of AI bias. “It is actually a bipartisan tech issue,” she says. “I’m discouraged and disappointed by the way these political influencers are attempting to manipulate that discourse on social media.”

Margaret Mitchell, a AI ethics researcher at Hugging Face who previously worked at Google, posted a thread explaining how Google might have avoided the Gemini controversy. (In short, by being more thorough in thinking through how the system would be used.) Mitchell also says that the tech industry’s vision of building superhuman AI models able to please everyone has invited the current discord. “The AGI agenda has sort of set itself up for exactly this kind of culture war,” she says.

[stanley-the-coolest]

I wrote a 1k word fic in about two days, realistically if I didn't take a break it would've taken me at hour at most.

It is sad to think that people can't write a 600 word essay without using an ai tool.

In fact, right now, let me write you a 600 word essay on how much I fucking hate ai.

I strongly dislike AI for many reasons, the AI 'art', the writing, the impact on our world socially, economically and to the average Joe. Ai is likely to take thousands if not millions of creative jobs even if it is soulless, uncreative, artificial slop. Why? Because people in today's society no longer respect the hard work of artists, poets, novelists, musical composers, or anything along the lines. They no longer respect research, books, literally anything of the sort.

People would rather be bluntly lied to by a robot that has been fed information from even the most disgusting, vomit inducing posts on the internet than open a book to page nineteen and read for five minutes. The worst, the absolute worst part about this is that these people are somehow succeeding in life because they make their job that is fake and incomplete take five seconds with no cost unlike someone who will breathe life into their research that might take fifteen minutes but their work is correct and complete. It is genuinely obtuse to believe that AI can do a research paper for you without a mistake, yes you may also make a mistake but making mistakes is human. No one should get mad at you for making a mistake but immediately trusting information is true because the same little robot that scrolls through racist reddit posts is 'okay'.

We as a society need to do better than this. Here's some research that I did with true information on how shitty AI is. 'And there are further, non-physical ways AI can harm humans if not carefully regulated. AI could cause issues with digital safety (causing defamation or libel), financial safety (this could be misuse of AI in financial recommendations, credit checks, or the opposite, such as complex schemes that steals or exploits financial information), or equity (biases built into AI that can cause unfair rejections or acceptances in a multitude of programs).' from www.tableau.com/data-insights/ai/risks and thats one source here's another with a list! Automation-spurred job loss Deepfakes Privacy violations Algorithmic bias caused by bad data Socioeconomic inequality Market volatility Weapons automatization Uncontrollable self-aware AI

Thats eight out of fourteen reasons they listed! https://builtin.com/artificial-intelligence/risks-of-artificial-intelligence for the love of god we are a little more than halfway done and I haven't even bitched about the fucking ai jesus videos!

Before we get into that heres one more chunk of text I wanna paraphrase. 'The excitement surrounding potential benefits of generative AI, from improving worker productivity to advancing scientific research, is hard to ignore. While the explosive growth of this new technology has enabled rapid deployment of powerful models in many industries, the environmental consequences of this generative AI “gold rush” remain difficult to pin down, let alone mitigate.

The computational power required to train generative AI models that often have billions of parameters, such as OpenAI’s GPT-4, can demand a staggering amount of electricity, which leads to increased carbon dioxide emissions and pressures on the electric grid.

Furthermore, deploying these models in real-world applications, enabling millions to use generative AI in their daily lives, and then fine-tuning the models to improve their performance draws large amounts of energy long after a model has been developed.

Beyond electricity demands, a great deal of water is needed to cool the hardware used for training, deploying, and fine-tuning generative AI models, which can strain municipal water supplies and disrupt local ecosystems. The increasing number of generative AI applications has also spurred demand for high-performance computing hardware, adding indirect environmental impacts from its manufacture and transport.' Wow isn't that fucking crazy that AI takes so much energy to run that we are literally actively worsening our carbon emissions and killing the planet faster! https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117

Okay remember those ai jesus videos? I know you have the attention span of a goldfish and your eyes are drifting but give me one more minute of your sanity mkay?

Fucking radical christains are using AI JESUS VIDEOS TO FARM ENGAGMENT AND SCARE YOUR GRANDMA INTO GIVING THEM MONEY.

Okay, I'm done!

im still losing it over the "how did high schoolers write 600 word essays before chatgpt" post. 600 words. that is nothing. that is so few words what do you mean you can't write 600 words. 600 words. this post right here is 45 words.

[repute-agency12]

The Future of AI in Digital Marketing – 2025 and Beyond

Artificial Intelligence, or AI, is no longer just a futuristic concept. It is now becoming a daily part of how we do business, especially in digital marketing. The way brands connect with people online is changing rapidly. As we move into 2025, AI will play an even bigger role in shaping marketing strategies, customer experiences, and business success.

Let’s explore how AI is transforming digital marketing, what we can expect in the near future, and how businesses can prepare for these changes.

What is AI in Simple Terms?

AI stands for Artificial Intelligence, which means machines or software that can think, learn, and make decisions like humans. In digital marketing, AI is used to understand customer behavior, predict future actions, and automate tasks that used to take hours of manual work.

For example, if someone visits an online store and looks at a product but doesn’t buy it, AI can help remind that person later by showing the product again in ads or emails. This is called retargeting, and it’s powered by AI. The system “learns” what people are interested in and helps businesses stay connected to their potential buyers.

How AI Is Already Being Used in Marketing

Even today, AI is helping marketers in many ways. Tools like chatbots on websites are answering customer questions automatically. Email platforms are sending messages based on user behavior, such as welcoming a new user or reminding them about a product left in the cart.

Content tools are helping write blog posts and social media captions. SEO tools are giving keyword suggestions, content ideas, and competitor analysis within seconds. Social media tools help choose the best time to post or suggest content formats that perform well.

All of these uses are saving time, improving accuracy, and making marketing smarter than ever.

What Will AI Do in 2025?

In 2025, AI will not just assist marketers—it will lead many key functions in digital marketing. One of the most exciting areas of growth will be personalization. AI will help deliver content and ads that are specifically tailored to each individual. People will no longer see general ads. Instead, they’ll see ads that match their exact preferences, search history, and behavior.

Let’s say someone likes red sneakers and often shops online at night. AI will use this data to show them red sneaker ads in the evening, increasing the chance of conversion. This type of smart targeting will become more common and more advanced by 2025.

The Rise of Smarter Chatbots

In the coming years, chatbots will become even more intelligent. They’ll be able to understand different tones, languages, and even human emotions through text. For example, if a customer is frustrated and uses angry words, the chatbot can respond in a calm and helpful way to defuse the situation.

These advanced bots will not only answer questions but also guide users through the buying process, suggest products, and even complete bookings or payments. This 24/7 support will help businesses improve customer experience while saving costs.

Content Creation Will Change

AI writing tools are already being used to draft emails, blogs, and ads. But in 2025, these tools will become more creative and accurate. They will learn your brand voice and write content that matches your style. Instead of spending hours writing a blog post, marketers can generate the first draft in minutes and then fine-tune it.

The key benefit is speed. Content teams will be able to focus more on ideas and strategies while letting AI handle the first layer of writing.

Better SEO with AI

Search engines like Google are always updating their algorithms. Marketers often struggle to keep up. In 2025, AI will help by tracking search trends in real-time, suggesting the best long-tail keywords, and analyzing which parts of your website need improvement.

Voice search is also growing, and AI can help optimize content for voice commands, making your website more accessible to users who speak their search instead of typing.

AI-powered SEO tools will become essential for marketers who want to stay ahead without guessing what works.

Predicting Customer Behavior

One of the strongest powers of AI is prediction. AI systems can look at past data and tell what’s likely to happen next. This means businesses can make better decisions about what products to promote, which customers to follow up with, and which campaigns are likely to succeed.

For example, AI can help you identify a group of customers who are most likely to make a purchase next week. You can then target them with special offers or personalized messages.

This kind of smart targeting helps reduce waste and improves marketing results.

AI in Social Media

Social media is fast and constantly changing. AI will help businesses keep up by suggesting what kind of posts to create, when to publish them, and how to improve engagement. It can analyze competitor pages, trending hashtags, and audience behavior to make your social strategy sharper.

Marketers will no longer need to spend hours analyzing reports. AI can do that work instantly and recommend the next steps. This makes social media marketing easier and more effective.

Affordable Video Creation

Creating videos has always been time-consuming and expensive. But AI tools are changing that. In 2025, marketers will be able to use AI to generate short videos from text or images. You could write a short paragraph about your product, and AI will turn it into a voiceover video with animations and subtitles.

This means even small businesses can create engaging video content without needing a big budget or production team.

Privacy and Ethical Use of AI

As AI collects more customer data, it’s important for businesses to respect privacy. Customers today care about how their data is used. In 2025, rules and laws around data usage will become stricter, and brands will need to follow them carefully.

Businesses that are honest and transparent about their AI use will win more trust from customers. Using AI should always be done with respect for user consent, privacy, and fairness.

The Human Side of AI Marketing

AI is powerful, but it’s not everything. Creative ideas, emotional connection, and storytelling are still things only humans can do well. In 2025, the best marketing teams will be the ones that mix AI tools with human thinking.

Marketers will need to learn how to work with AI—how to ask the right questions, analyze AI reports, and combine them with smart strategies. This partnership between humans and machines will shape the future of digital marketing.

Getting Started with AI in Your Business

You don’t need to be a tech expert to start using AI. Many tools today are beginner-friendly. For example, ChatGPT can help with content writing, Canva has AI tools for design, and Google Ads uses smart bidding automatically.

Start small. Try one tool at a time. Learn how it works. Track the results. As you get comfortable, you can slowly add more tools and use them in different parts of your marketing plan.

Conclusion

The future of digital marketing is closely linked with AI. In 2025, AI will not replace marketers—but marketers who don’t use AI may fall behind. The tools are already here, and they’re getting better every day.

Now is the best time to learn, test, and grow with AI. Whether you’re a small business owner, a content creator, or a marketing manager, AI can help you work smarter, save time, and deliver better results.

Stay curious, stay ethical, and stay updated—because the future of marketing is already knocking.

[koshfinance]

How to Reconcile Balance Sheet with Advanced Reconciliation Tools

Balance sheet reconciliation checks if account balances in the balance sheet match the general ledger and supporting documents. It finds any differences. Tools that do this automatically make it more accurate and faster.

With automated software, finance teams can make their financial close process smoother. This leads to better financial health and smarter choices.

Key Takeaways

Balance sheet reconciliation is vital for accurate financial statements.

Advanced tools make the reconciliation process simpler.

Automated software cuts down on manual mistakes.

Streamlined financial close processes boost financial integrity.

Improved accuracy helps in making better financial decisions.

Understanding Balance Sheet Reconciliation

Keeping financial records accurate is key. Balance sheet reconciliation helps ensure this. It checks if account balances are right and complete.

What Is Balance Sheet Reconciliation?

It's about matching account balances with documents and outside sources. This makes sure financial reports show a company's true financial state.

The steps in this process are:

Checking account balances against bank statements and other sources

Finding and fixing any differences

Keeping records of the whole process and its results

Key Accounts Requiring Regular Reconciliation

Some accounts need regular checks because they're very important. These include:

Cash and cash equivalents

Accounts receivable and payable

Inventory and other current assets

Checking these accounts often helps avoid mistakes, spots fraud, and meets financial rules.

Consequences of Inaccurate Balance Sheets

Wrong balance sheets can lead to big problems. These include fines, losing investor trust, and bad financial choices. The effects of wrong financial reports can harm the company and its people.

Some possible issues are:

Regulatory fines and penalties

Loss of credibility with investors and lenders

Poor financial planning and decision-making

Challenges of Traditional Reconciliation Methods

The old ways of doing reconciliation are full of problems. They make it slow and prone to mistakes for those in finance. These methods need a lot of manual work, which takes a lot of time and effort.

Manual Processes and Time Consumption

Doing reconciliation by hand means a lot of typing, checking, and matching. It can make people tired and more likely to make mistakes. This slows down the process and takes away from more important financial tasks.

Extensive manual data entry

Time-consuming verification processes

Increased likelihood of human error

Error Rates and Detection Difficulties

Old methods of reconciliation are more likely to have mistakes because they're done by hand. Finding and fixing these errors can be hard. This can lead to wrong financial reports and trouble with rules.

Compliance and Audit Trail Weaknesses

Traditional methods often don't have strong compliance and audit trail features. This makes it hard to show you're following the rules. It can lead to more risk during audits and fines.

Knowing these problems, finance experts can see why using automation for reconciliation is a good idea. These new tools can make the process faster, reduce mistakes, and improve following rules and audits.

Modern Reconciliation Tools and Their Capabilities

The world of reconciliation has changed a lot with new tools. These tools make financial checks more efficient and accurate.

Cloud-Based vs. On-Premise Solutions

Today, you can find reconciliation tools online or on your own servers. Online tools are flexible and save money on hardware. But, server-based options give you more control over your data.

It's important to think about what you need before choosing. This will help you pick the right tool for your business.

AI-Powered Matching Algorithms

Advanced tools use AI to match transactions automatically. This cuts down on manual work and boosts accuracy. They learn from your data to get better over time.

Workflow Automation Features

These tools also automate workflows. This means you can set up your own steps for financial checks. It makes sure everything is done right and on time.

Automation also helps avoid mistakes. It lets your team focus on important tasks.

Integration with ERP and Accounting Systems

Good reconciliation tools work well with your current systems. They make it easy to keep all your data in sync. This is key for accurate financial reports.

It helps keep your financial management smooth and reliable.

Step-by-Step Guide to Balance Sheet Reconciliation Using Software

Reconciling a balance sheet is key and can be made easier with advanced software. This process has several steps to ensure everything is accurate and up to date.

Initial Data Import and System Configuration

The first step is to import data into the software. This includes general ledger accounts and bank statements. The system is then set up to meet the organization's needs.

Import general ledger accounts and bank statements.

Configure the software to match the organization's reconciliation needs.

Set up user roles and permissions to ensure secure access.

Creating Custom Matching Rules

Advanced software lets you create custom matching rules. These rules help match transactions automatically based on set criteria.

Define the matching criteria, such as date, amount, and description.

Configure the software to automatically match transactions.

Review and refine the matching rules to ensure accuracy.

Identifying and Resolving Exceptions

The software finds exceptions that need manual review. This includes transactions that don't match or are outside set limits.

Review exceptions to determine the cause of the discrepancy.

Take corrective action to resolve the exception.

Document the resolution for audit purposes.

Documentation and Approval Workflows

Lastly, the software helps with documentation and approval. It generates reports and keeps an audit trail.

Generate reconciliation reports for review and approval.

Maintain an audit trail of all reconciliation activities.

Obtain approval from authorized personnel.

By following these steps, organizations can use software to make reconciliation easier. This improves accuracy and reduces errors.

Best Practices for Implementing Reconciliation Automation

To get the most out of reconciliation automation tools, organizations must follow best practices during implementation. This involves several key steps that ensure a smooth transition to automated reconciliation processes.

Assessing Reconciliation Requirements

Before selecting a reconciliation automation tool, it's essential to assess your organization's reconciliation requirements. This includes identifying the types of accounts to be reconciled, the frequency of reconciliations, and any specific regulatory or compliance needs.

Identify the scope of reconciliation activities

Determine the frequency of reconciliations

Assess specific compliance or regulatory requirements

Selecting the Right Solution

Choosing the appropriate reconciliation automation solution is critical. Factors to consider include the tool's ability to integrate with existing systems, its scalability, and its ability to meet specific reconciliation needs.

Evaluate integration capabilities with existing financial systems

Consider the scalability of the solution

Assess the tool's ability to handle complex reconciliation tasks

Training Staff and Managing Change

Effective training and change management are critical for the successful adoption of reconciliation automation tools. This involves educating staff on the new system's capabilities and ensuring they are comfortable using it.

Develop a detailed training program for staff

Establish clear communication channels for support

Monitor adoption rates and address any issues promptly

Establishing Reconciliation Schedules and Responsibilities

To ensure the ongoing effectiveness of reconciliation automation, it's necessary to establish clear schedules and responsibilities. This includes defining who is responsible for reconciliations, the frequency of these tasks, and the deadlines for completion.

Define clear roles and responsibilities for reconciliation tasks

Establish a schedule for reconciliations that meets business needs

Set deadlines for completion and review of reconciliations

By following these best practices, organizations can maximize the benefits of reconciliation automation. This improves financial accuracy and reduces the risk of errors.

Measuring the ROI of Advanced Reconciliation Tools

Advanced reconciliation tools can bring big financial gains to companies. They offer a significant advantage through different ways.

It's key to look at several areas where these tools help a lot.

Quantifying Time and Labor Savings

Automated reconciliation software cuts down on manual work needed for reconciliations.

Automated data import and matching cut down on manual data entry.

Streamlined workflows let staff focus on more important tasks.

Quicker reconciliation cycles mean faster close processes.

By measuring these time savings, companies can see clear cost cuts from using these tools.

Calculating Error Reduction Benefits

Reconciliation software for banks greatly lowers the chance of mistakes in financial reconciliations.

Automated matching algorithms ensure accurate transaction matching.

Real-time exception reporting helps solve issues quickly.

Consistent reconciliation processes boost overall financial accuracy.

By cutting down on errors, companies avoid costly rework, fines, and damage to their reputation.

Compliance Cost Reductions

The use of bank reconciliation software also leads to big savings in compliance costs.

Automated audit trails make regulatory compliance easier.

Standardized reconciliation processes lower the risk of non-compliance.

Efficient documentation and approval workflows cut down on admin work.

These savings not only cut costs but also improve the company's compliance stance.

Case Studies: Real-World Implementation Results

Many companies have seen great results from using advanced reconciliation tools, showing big ROI.

A financial institution using automated reconciliation software cut its reconciliation time by 40% and error rates by 25% in six months.

These examples show the real benefits of using these tools. They lead to better financial accuracy and lower costs.

Conclusion: Elevating Financial Accuracy Through Technology

Advanced reconciliation tools have changed the game for financial accuracy. They make the process more accurate, efficient, and compliant. With a strong reconciliation solution, companies can automate their work, cutting down on mistakes and improving reports.

Automated account reconciliation lets finance teams do more strategic work. They no longer spend hours on manual data entry. This also makes it easier to follow rules and avoid legal issues.

As tech gets better, so will the role of reconciliation software in finance. Companies using automation will see big wins. They'll get better financial data, save money, and make smarter choices.

By using a top-notch reconciliation solution, finance pros can make their work more accurate and reliable. This leads to business growth and success.

Also Read: Best Balance Sheet Reconciliation Software for Small Businesses

[microbitmedia]

Smart Mobile Marketing: How AI Enhances Personalization

In today's fast-paced digital landscape, businesses are turning to AI in mobile marketing to revolutionize the way they engage with users. As smartphones become an integral part of daily life, reaching users through mobile channels is more critical than ever. But mass messaging no longer cuts it—users expect personalized mobile marketing experiences that cater to their needs and behavior. Thanks to artificial intelligence, brands can now deliver just that.

The Rise of AI in Mobile Marketing

Artificial Intelligence (AI) is not just a buzzword—it's a game-changer for marketers. AI in mobile marketing enables businesses to analyze massive amounts of user data in real-time and derive meaningful insights. These insights allow companies to target users more accurately, automate campaigns, and optimize engagement at every touchpoint.

Whether it's predicting user behavior, customizing push notifications, or segmenting audiences, AI mobile marketing tools can do it faster and smarter than any human team. This means better results, increased ROI, and more satisfied users.

Why Personalized Mobile Marketing Matters

The modern consumer wants to feel seen and understood. Personalized mobile marketing goes beyond using a user’s name—it involves tailoring content, offers, and experiences based on the user's preferences, behavior, and location.

Research shows that personalized messages lead to higher open rates, longer app sessions, and increased conversions. When done right, personalized mobile engagement boosts brand loyalty and reduces churn, giving brands a competitive edge in a saturated mobile market.

AI-Powered Personalized Mobile Marketing Strategies

Let’s explore a few effective personalized mobile marketing strategies made possible through AI:

1. Smart Segmentation

AI algorithms can analyze demographic, behavioral, and contextual data to create hyper-targeted user segments. These segments help in sending the right message to the right audience at the right time.

2. Predictive Recommendations

Using machine learning, businesses can predict what products or content a user is likely to be interested in. This leads to personalized product recommendations and app experiences that drive sales and engagement.

3. Dynamic Content Creation

With AI mobile marketing tools, brands can automatically generate and customize content for each user. This includes email copy, in-app messages, and even dynamic visuals that reflect a user’s past behavior.

4. Automated Customer Journeys

AI enables the creation of automated workflows that adapt to user actions in real-time. Whether a user abandons a cart or completes a goal, AI triggers personalized responses that guide users toward conversion.

5. Sentiment Analysis and Feedback Loops

AI can analyze user feedback and sentiment from reviews, chats, and social media to fine-tune future marketing efforts. This continuous loop ensures that your personalized mobile engagement remains relevant and effective.

Real-World Success Stories

Companies like Amazon, Netflix, and Spotify are leading examples of AI in mobile marketing. Their platforms offer personalized experiences powered by AI—from movie suggestions to tailored playlists—proving that smart personalization significantly enhances user satisfaction.

Even smaller businesses can now access AI tools integrated into marketing platforms like Braze, MoEngage, and CleverTap. These platforms help marketers design personalized mobile marketing strategies without needing a large data science team.

Final Thoughts

As competition intensifies in the mobile space, adopting AI mobile marketing is no longer optional—it’s essential. By leveraging AI, brands can deliver highly relevant, personalized experiences that users love and respond to. From segmentation to engagement, AI empowers marketers to elevate their game.

Embracing personalized mobile marketing is the key to standing out in a crowded digital environment. With the right strategy and tools, your brand can achieve deeper personalized mobile engagement, better user retention, and long-term growth.