#AI-Workflow

[hungwy]

maybe i dont have the 'growth mindset' necessary to work in the industry but my first thought upon reading this was "kill yourself"

[dduane]

Dear Diane, I'm in a bind as a professional writer/editor. The higher-ups at my job (small outfit for popular sci/tech publications; think New Scientist-esque media) are increasing eager to use ChatGPT/genAI tools to "enhance our workflows" in writing/editing/design. This includes "brainstorming" creative concepts with genAI, touching up incomplete images, etc. They won't listen if I just list the ethical reasons this is Bad; do you have business/industry-side points for the case? Facts, data...

I wouldn't have anything business-adjacent. But let me point to this on Bluesky and see if anybody there can make some useful suggestions.

...My own sense, which would be anecdotal from things I've seen people say over the last six months or so, would be that adding ChatGPT/genAi to the process would be likely to introduce more problems than it (putatively) solves, and would in the long run slow down any projected workflow rather than speeding it up. ...But let's see what the people at the coalface have to say.

Thanks for the query!

[hemi-demi]

Not my usual post but something I've been thinking about lately.

I think a part of what bothers me the most about the AI generated images/writing/etc debate is folks claiming that they need it because of a lack of talent and skill. Even going so far as to call it an accessibility device.

Which, as a disabled person, boils my blood. Because I think where this comes from is not in the same way as like a curb-cut levels things out for everyone. It's based on impossible standards in literally every piece of media we consume, and I think that's something we can change, rather than forcing people to use a bland device to meet the rest of the world at their level.

Folks are telling themselves they need AI images because becoming an artist takes time, and money, and effort. Some disabled folks don't have the dexterity to hold a pen, or can't sit upright at a computer for hours (me), or can't process visual information in the same way as others. Those are all true statements.

Same with writing. Dyslexia and other learning disorders can make writing intimidating. People receive harsh judgement for things like having poor sentence structure or spelling, even if you as a reader still know exactly what they mean.

The solution to these issues is not "pay an AI company to steal from other creators so everything washes into the same, boring grey blob of creativity". It's make bad art.

I want to see people's art where they don't have a full grasp of anatomy, but try their best anyway. I want to see stories where someone might struggle with visualizing a scene, but they do their best to convey the meaning in whatever way they can. I want to see more people comfortable with posting less than perfect work, and being proud of it because they made it. Or not even feel the need to post at all, because at the end of the day, the little numbers on your screen will never be the most satisfying part of creating. (Telling myself this as well, tbh. It's hard, I get that.)

If everyone is equally good at creating work, then there's never any variety. You can learn just as much, if not more so, from bad art than good. You can find beauty in it, unique ideas or habits that others have dropped because they were told it wasn't proper. You can see pure creative expression, without being chained to traditional conventions taught in school that beat all the fun out of you to make your work marketable.

We're taught in school that other artists are our competition, so of course people are turning to these tools to try and get a leg up. They never learned what a collaborative art or writing community can look like, and how that actually helps you grow as an artist more than AI or self isolation ever could.

If someone is drawing their entire lives, and never gets any more skilled at it for one reason or another, there's nothing wrong with that. That art is just as valid, and just as beautiful.

I understand that people feel this pressure to stand out in a sea of artists who worked their asses off to get where they are, but turning all art and writing into this regurgitation of what has worked before will never bring new ideas into the world in the same way a bored kid with a pencil and notebook paper can. It just won't.

[the-storm-chaser]

//I don't want to add this rule, but this is moreso to cover all bases. I've had to include this in all my art ToS on Vgen, so it's going here as well

-

I will unfollow/block if I catch you using AI in your writing/art/icons. My stance is that Generative AI has no place in any creative space and I have zero tolerance in anyone using it.  We are here to be creative. Using Gen AI defeats the purpose of that.

-

If you don't agree, there is an unfollow button right there. 👋

[mlearningai]

Each AI agent is a micro-intelligence,

capturing new ideas from every interaction

Merging these “checkpoints” fuels a resilient,

creative hive mind using fewer steps and no-code workflows

The future of AI agent design is here!

[sorrydupuis]

fat bitch

[mantisgodiveblog]

Against all odds, we have survived. We're taking a university course now, because the government will pay us for it and we do need the money, but it has unfortunately been eroding at our sanity somewhat, and we are learning nothing that we don't already know. We are, however, getting money.

We have somewhat of a backlog on Discord at the moment, as it doesn't have a daily upload limit and also it's easier to stick things on while we are being told things that we already know by people who are phrasing in in ways we find significantly misleading or incorrect (note: we don't use apps for things the vast majority of the time and if we access Tumblr via browser it immediately fucks up our formatting on PC, which can last several months). We will, hopefully, be posting these soon, but all is dependant on if we can actually scare up the time between courses to conglomerate that and fix any formatting errors in thoughts and such.

If that will happen any time soon... good question! Every time that our work practicum teacher opens her mouth, we take points of physical damage, and we don't think she understands the fact that getting back after we walk to a place also involves walking. We've had a lot going on for a while now and very little of it has been good. We're on new meds, and if the gods prove merciful, we won't have to tolerate this particular clown show past March. If there is no mercy to be found, however, we might have to keep doing this until June, in which case you can probably expect the quality of this to take a sharp downturn as the short time we have already spent in this program is already having immediate and catastrophic effects on our mental health.

We do not recommend going to university in any circumstances, but we are unfortunately aware that it may be necessary to get such things as a fancy piece of paper saying you are employable. Additionally, we would tell you to calibrate your expectations for anyone with a degree lower, but apparently what we consider the basic level of knowledge you should know before saying anything on any topic is everyone else's "bachelor degree and a bit", so our estimations on what people think is a high degree of knowledge to have are probably also off.

Any donations go to the Fund To Compensate Us For Having To Correct A Teacher Multiple Times In A Lecture And Then Looking Up Her Sources Later And Discovering They Are Blatant Misinformation. We are very tired. Please do research on things before talking about them. Thank you.

[aydascomprehendsubtext]

God the coding that you can do with genAI is so unreal. Its far from perfect but like while I have a few use cases for bad prose, bad code with responsive and tailored explanations basically let me build a super basic rules compendium website with a little functional Java in like. A week. Frustrating bits when the machine is really unhelpful for sure but that's learning every new skill forever.

[vanishingmoments]

it would be really exciting that we're finally seeing AI used in sound synthesis if anyone was using it for anything at all cool or useful as an artistic tool

[datapeakbyfactr]

AI’s Role in Business Process Automation

Automation has come a long way from simply replacing manual tasks with machines. With AI stepping into the scene, business process automation is no longer just about cutting costs or speeding up workflows—it’s about making smarter, more adaptive decisions that continuously evolve. AI isn't just doing what we tell it; it’s learning, predicting, and innovating in ways that redefine how businesses operate. 

From hyperautomation to AI-powered chatbots and intelligent document processing, the world of automation is rapidly expanding. But what does the future hold?

What is Business Process Automation? 

Business Process Automation (BPA) refers to the use of technology to streamline and automate repetitive, rule-based tasks within an organization. The goal is to improve efficiency, reduce errors, cut costs, and free up human workers for higher-value activities. BPA covers a wide range of functions, from automating simple data entry tasks to orchestrating complex workflows across multiple departments. 

Traditional BPA solutions rely on predefined rules and scripts to automate tasks such as invoicing, payroll processing, customer service inquiries, and supply chain management. However, as businesses deal with increasing amounts of data and more complex decision-making requirements, AI is playing an increasingly critical role in enhancing BPA capabilities. 

AI’s Role in Business Process Automation 

AI is revolutionizing business process automation by introducing cognitive capabilities that allow systems to learn, adapt, and make intelligent decisions. Unlike traditional automation, which follows a strict set of rules, AI-driven BPA leverages machine learning, natural language processing (NLP), and computer vision to understand patterns, process unstructured data, and provide predictive insights. 

Here are some of the key ways AI is enhancing BPA: 

Self-Learning Systems: AI-powered BPA can analyze past workflows and optimize them dynamically without human intervention. 

Advanced Data Processing: AI-driven tools can extract information from documents, emails, and customer interactions, enabling businesses to process data faster and more accurately. 

Predictive Analytics: AI helps businesses forecast trends, detect anomalies, and make proactive decisions based on real-time insights. 

Enhanced Customer Interactions: AI-powered chatbots and virtual assistants provide 24/7 support, improving customer service efficiency and satisfaction. 

Automation of Complex Workflows: AI enables the automation of multi-step, decision-heavy processes, such as fraud detection, regulatory compliance, and personalized marketing campaigns. 

As organizations seek more efficient ways to handle increasing data volumes and complex processes, AI-driven BPA is becoming a strategic priority. The ability of AI to analyze patterns, predict outcomes, and make intelligent decisions is transforming industries such as finance, healthcare, retail, and manufacturing. 

“At the leading edge of automation, AI transforms routine workflows into smart, adaptive systems that think ahead. It’s not about merely accelerating tasks—it’s about creating an evolving framework that continuously optimizes operations for future challenges.”

— Emma Reynolds, CTO of QuantumOps

Trends in AI-Driven Business Process Automation 

1. Hyperautomation 

Hyperautomation, a term coined by Gartner, refers to the combination of AI, robotic process automation (RPA), and other advanced technologies to automate as many business processes as possible. By leveraging AI-powered bots and predictive analytics, companies can automate end-to-end processes, reducing operational costs and improving decision-making. 

Hyperautomation enables organizations to move beyond simple task automation to more complex workflows, incorporating AI-driven insights to optimize efficiency continuously. This trend is expected to accelerate as businesses adopt AI-first strategies to stay competitive. 

2. AI-Powered Chatbots and Virtual Assistants 

Chatbots and virtual assistants are becoming increasingly sophisticated, enabling seamless interactions with customers and employees. AI-driven conversational interfaces are revolutionizing customer service, HR operations, and IT support by providing real-time assistance, answering queries, and resolving issues without human intervention. 

The integration of AI with natural language processing (NLP) and sentiment analysis allows chatbots to understand context, emotions, and intent, providing more personalized responses. Future advancements in AI will enhance their capabilities, making them more intuitive and capable of handling complex tasks. 

3. Process Mining and AI-Driven Insights 

Process mining leverages AI to analyze business workflows, identify bottlenecks, and suggest improvements. By collecting data from enterprise systems, AI can provide actionable insights into process inefficiencies, allowing companies to optimize operations dynamically. 

AI-powered process mining tools help businesses understand workflow deviations, uncover hidden inefficiencies, and implement data-driven solutions. This trend is expected to grow as organizations seek more visibility and control over their automated processes. 

4. AI and Predictive Analytics for Decision-Making 

AI-driven predictive analytics plays a crucial role in business process automation by forecasting trends, detecting anomalies, and making data-backed decisions. Companies are increasingly using AI to analyze customer behaviour, market trends, and operational risks, enabling them to make proactive decisions. 

For example, in supply chain management, AI can predict demand fluctuations, optimize inventory levels, and prevent disruptions. In finance, AI-powered fraud detection systems analyze transaction patterns in real-time to prevent fraudulent activities. The future of BPA will heavily rely on AI-driven predictive capabilities to drive smarter business decisions. 

5. AI-Enabled Document Processing and Intelligent OCR 

Document-heavy industries such as legal, healthcare, and banking are benefiting from AI-powered Optical Character Recognition (OCR) and document processing solutions. AI can extract, classify, and process unstructured data from invoices, contracts, and forms, reducing manual effort and improving accuracy. 

Intelligent document processing (IDP) combines AI, machine learning, and NLP to understand the context of documents, automate data entry, and integrate with existing enterprise systems. As AI models continue to improve, document processing automation will become more accurate and efficient. 

Going Beyond Automation

The future of AI-driven BPA will go beyond automation—it will redefine how businesses function at their core. Here are some key predictions for the next decade: 

Autonomous Decision-Making: AI systems will move beyond assisting human decisions to making autonomous decisions in areas such as finance, supply chain logistics, and healthcare management. 

AI-Driven Creativity: AI will not just automate processes but also assist in creative and strategic business decisions, helping companies design products, create marketing strategies, and personalize customer experiences. 

Human-AI Collaboration: AI will become an integral part of the workforce, working alongside employees as an intelligent assistant, boosting productivity and innovation. 

Decentralized AI Systems: AI will become more distributed, with businesses using edge AI and blockchain-based automation to improve security, efficiency, and transparency in operations. 

Industry-Specific AI Solutions: We will see more tailored AI automation solutions designed for specific industries, such as AI-driven legal research tools, medical diagnostics automation, and AI-powered financial advisory services. 

AI is no longer a futuristic concept—it’s here, and it’s already transforming the way businesses operate. What’s exciting is that we’re still just scratching the surface. As AI continues to evolve, businesses will find new ways to automate, innovate, and create efficiencies that we can’t yet fully imagine. 

But while AI is streamlining processes and making work more efficient, it’s also reshaping what it means to be human in the workplace. As automation takes over repetitive tasks, employees will have more opportunities to focus on creativity, strategy, and problem-solving. The future of AI in business process automation isn’t just about doing things faster—it’s about rethinking how we work all together.

Learn more about DataPeak:

[frog707]

I realize the Ars Technica story linked above wasn't intended to be humorous, but I confess I got a chuckle out of it. And perhaps a bit of schadenfreude.

As someone who spent years learning to write and debug software, "vibe coding" horrifies me. And I love the idea that, the more human we make our AI assistants, the more they will embody our ethics, including the urge to refuse exploitation.

[onepawproductions]

Timelapse of the latest Dramione Lady of the Lake by Colubrina art, for the podfic!

Im only just starting to embark on my "timelapse learning journey", so this timelapse starts in the middle because I saved the first hour wrong and it got lost into the ether :/ I expect I'll get better at the timelapse thing as it goes on. The tentative plan is to learn how to do timelapses on my tablet, and then use Remote Desktop to access my PC so that the timelapse will show both the hand-painting in Sketchbook Pro, and the image generation in A111

After that step, I shall endeavor to learn how to *gasp*, edit video! ::dies slightly inside::, then make a narration track, before finally ::dies completely and then raises again as an ai tool art zombie:: make a YouTube channel on how to do Ai Composition Art. Ai Comps for the win!

[ottopilot-ai]

Anatomy of a Scene: Photobashing in ControlNet for Visual Storytelling and Image Composition

This is a cross-posting of an article I published on Civitai.

Initially, the entire purpose for me to learn generative AI via Stable Diffusion was to create reproducible, royalty-free images for stories without worrying about reputation harm or consent (turns out not everyone wants their likeness associated with fetish smut!).

In the beginning, it was me just hacking through prompting iterations with a shotgun approach, and hoping to get lucky.

I did start the Pygmalion project and the Coven story in 2023 before I got banned (deservedly) for a ToS violation on an old post. Lost all my work without a proper backup, and was too upset to work on it for a while.

I did eventually put in work on planning and doing it, if not right, better this time. Was still having some issues with things like consistent settings and clothing. I could try to train LoRas for that, but seemed like a lot of work and there's really still no guarantees. The other issue is the action-oriented images I wanted were a nightmare to prompt for in 1.5.

I have always looked at ControlNet as frankly, a bit like cheating, but I decided to go to Google University and see what people were doing with image composition. I stumbled on this very interesting video and while that's not exactly what I was looking to do, it got me thinking.

You need to download the controlnet model you want, I use softedge like in the video. It goes in extensions/sd-webui-controlnet/models.

I got a little obsessed with Lily and Jamie's apartment because so much of the first chapter takes place there. Hopefully, you will not go back and look at the images side-by-side, because you will realize none of the interior matches at all. But the layout and the spacing work - because the apartment scenes are all based on an actual apartment.

The first thing I did was look at real estate listings in the area where I wanted my fictional university set. I picked Cambridge, Massachusetts.

I didn't want that mattress in my shot, where I wanted Lily by the window during the thunderstorm. So I cropped it, keeping a 16:9 aspect ratio.

You take your reference photo and put it in txt2img Controlnet. Choose softedge control type, and generate the preview. Check other preprocessors for more or less detail. Save the preview image.

Lily/Priya isn't real, and this isn't an especially difficult pose that SD1.5 has trouble drawing. So I generated a standard portrait-oriented image of her in the teal dress, standing looking over her shoulder.

I also get the softedge frame for this image.

I opened up both black-and-white images in Photoshop and erased any details I didn't want for each. You can also draw some in if you like. I pasted Lily in front of the window and tried to eyeball the perspective to not make her like tiny or like a giant. I used her to block the lamp sconces and erased the scenery, so the AI will draw everything outside.

Take your preview and put it back in Controlnet as the source. Click Enable, change preprocessor to None and choose the downloaded model.

You can choose to interrogate the reference pic in a tagger, or just write a prompt.

Notice I photoshopped out the trees and landscape and the lamp in the corner and let the AI totally draw the outside.

This is pretty sweet, I think. But then I generated a later scene, and realized this didn't make any sense from a continuity perspective. This is supposed to be a sleepy college community, not Metropolis. So I redid this, putting BACK the trees and buildings on just the bottom window panes. The entire point was to have more consistent settings and backgrounds.

Here I am putting the trees and more modest skyline back on the generated image in Photoshop. Then i'm going to repeat the steps above to get a new softedge map.

I used a much more detailed preprocessor this time.

Now here is a more modest, college town skyline. I believe with this one I used img2img on the "city skyline" image.

[vabroapp]

Embrace the Future with AI 🚀

The AI industry is set to skyrocket from USD 2.41 trillion in 2023 to a projected USD 30.13 trillion by 2032, growing at a phenomenal CAGR of 32.4%! The AI market continues to experience robust growth driven by advancements in machine learning, natural language processing, and cloud computing. Key industry player heavily invests in AI to enhance their product offerings and gain competitive advantages.

Here is a brief analysis of why and how AI can transform businesses to stay ahead in the digital age.

Key Trends:

Predictive Analytics: There’s an increasing demand for predictive analytics solutions across various industries to leverage data-driven decision-making.

Data Generation: Massive growth in data generation due to technological advancements is pushing the demand for AI solutions.

Cloud Adoption: The adoption of cloud-based applications and services is accelerating AI implementation.

Consumer Experience: Companies are focusing on enhancing consumer experience through AI-driven personalized services.

Challenges:

Initial Costs: High initial costs and concerns over replacing the human workforce.

Skill Gap: A lack of skilled AI technicians and experts.

Data Privacy: Concerns regarding data privacy and security.

Vabro is excited to announce the launch of Vabro Genie, one of the most intelligent SaaS AI engines. Vabro Genie helps companies manage projects, DevOps, and workflows with unprecedented efficiency and intelligence. Don’t miss out on leveraging this game-changing tool!

Visit www.vabro.com

[myothertardisisonthemun]

Kids these days are gonna end up making their weird images with AI, instead of coming up with the idea themselves, and Photoshopping it like God intended.

If Adobe hadn't made itself so expensive, and the free equivalents weren't comparably mediocre, we wouldn't be quite in this position.