#AI-Powered Text Generation

[ctrinity]

Canva Magic Write ✨🖊️

Canva Magic Write Magic Write is Canva’s AI-powered copywriting assistant designed to help users easily generate various types of text, from blog posts to letters.

🖊️ Canva Magic Write Magic Write is Canva’s AI-powered copywriting assistant designed to help users easily generate various types of text, from blog posts to letters. Canva Magic AI Writer 💡 Idea Generation This tool assists in brainstorming by providing new ideas and topics, making it easier to create content across different formats. Canva Paragraphs Generator 🎨 Integration into Designs Users…

[lazerinth]

Putting down certain artists to build up other artists is so unnecessary. Art is creativity, not a competition.

“You’re the only artist to draw your sona accurately to your real life self.” Why is this a problem to begin with? Let artists draw themselves however they want.

“Why do only artists with mid styles get popular? Why aren’t artists with good styles nearly as popular?” This is just rude. Art is subjective, there is no such thing as a “mid/bad” art style. If you want your favourite artists to be popular, help support them and get their name around. Some artists don’t even want to be popular, some prefer having a small community.

As long as an artist isn’t causing harm to themselves or others with what they create, why are you so concerned with what they are doing? Art is about creating, expressing, and exploring oneself.

[melted-snowperson]

I'm going to post a positive brother to assist me help me it ain't me with another 4 permanently I'm going forward that I've been cradling and they've learned nice of you know when it's would be incredibly unusually nice to be no one so if it ain't a ball seat possibly bother to do anything this world please do get in contact with me hey it's okay asWait alone greetings minimize heights like let's hope yourself said it however it means dancing tickets to eyes if you lamb bowed on us trans let it drown dragon into the USA American new Sandwich

im very confused but i hope you have a nice day??

definitely one of the more bamboozling things that’s happened to me on here lol

[inkskinned]

it's easier to apply for jobs than ever! so what if you lost your insurance, anyone can get a job these days, even without meds. everyone is hiring! there's a "good employee" shortage!

well you just need to revamp your resume, here's a paid app subscription that can read it for you. rewrite the cover letter they won't read. google jobs in my area and then scrawl through Monster/Indeed/worbly. did you want to save the search? this was posted 98 days ago. over 1 billion applicants! this position is trending.

jobs i actively like doing and get paid for. your search returned no results. easy-apply with HireSpin! easy apply with SparkFire! easy apply with PenisFlash! with a few short clicks, get your information stolen.

watch out! the first 98 links on google are actually scams! they're false postings. oopsie. that business isn't even hiring. that other one is closed permanently. find one that looks halfway legit, google the company and the word "careers". go to their page. scroll past brightly-lit diversity stock photo JOIN US white sans serif. we are a unique, fresh, client-focused stock value capitalism. we are committed to excellence and selling your soul on ebay. we are DRIVEN with POWER to INNOVATE our greed. yippee! our company has big values of divisive decision making, sucking our dicks, and hating work-life balances. our values are to piss in your mouth. sign here and tell us if you have gender issues so we can get ahead of the sexual harassment claim. are you hispanic although let's be real we threw out the resume when we saw your last name.

sign up to LinkHub to access updates from this company. make a HirePlus account to apply. download the PoundLink app. your account has been created, click the link we sent you in 15 minutes. upload that resume. we didn't read the resume, manually fill in the lines now. what is your expected pay grade. oh actually we want hungry people, not people driven by a salary. cut a zero off that number, buddy, this is about opportunity, and we need to be thrifty. highest level of education. autofill is glitching. here is an AI generated set of questions. what is your favorite part of our sexy, sexy company. how do you resolve conflict. will you get our company logo tattooed on your person. warning: while our CEO is guilty of wage theft, we will absolutely refuse to hire a nonviolent felon.

thank you for your interest at WEEBLIX. we actually already filled this position internally. we actually never had that posting. we actually needed you to have 9 years of experience and since you have 10 years we think it might be too many? we'll be texting you. we'll email you. we'll keep your resume. definitely absolutely we won't just completely ignore you. look at your phone, there's already a spam text from Bethany@stealyouridentity. they're hiring!

wait, did you get an interview? well that's special, aren't you lucky. out of 910 jobs you applied to, one answered, finally. and funny story! actually the position isn't exactly as advertised, we are looking for someone curious and dedicated. it's sort of more managerial. no, the pay doesn't change - you won't have any leadership title. now take this 90 minute assessment. in order to be a dog groomer, we need you to explain cell biology. in order to be a copyeditor, write a tiny dissertation about the dwindling supply of helium on the planet. answer our riddles three. great job! we just need to push this up to Tracy in HR who will send it to Rodney who is actually in charge. and then of course it's jay's decision and then greg will need to see you naked and if you survive you'll be given a drug test and a full anal examination.

and of course you'll be hungry this whole time, aren't you, months and months of the same shit. months of no insurance, no meds, no funding, barely able to afford the internet and the phone and the rent - all things you need in order to even apply for our thing. but do it again! do it again and again and again, until you flip inside out and turn into a being of pure dread!

you're not hired yet because you're lazy. there's over one million AI-generated hallucinated jobs in your area. don't worry. with zipruiter, hiring and firing is easier than ever. sign up. stay on-call.

in the meantime, little peon - why don't you just fucking suffer.

[reviewtechnology]

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[chronologicalimplosion]

[[Screenshot ID: A twitter thread by sjklapecwriting that says:

The fact that "AI = what makes NPCs in video games do things" and "AI = complex scientific models that have been in use for years" and "AI = non-generative tools that automate tedious processes" and "AI = generative tools" are all called AI feels like deliberate obfuscation.

I want good AI in video games but I also don't want AI in video games at all and I think AI is useful in the sciences but don't trust AI at all to be used in science or medicine or law and AI to colour-correct a video or remove greenscreen is cool but AI generating movies sucks.

We talk about things that threaten art and creativity and steal vast quantities of work from artists and burn the amazon and drain the seas to do it all with the same language as something that can track a part of a video so special effects are easier to make and that sucks.

And this obfuscation feels so deliberate to me, because now people freak out if someone talks about wanting to use "AI that learns from the player" or "an AI solution to help me edit video" or "an AI that can be used to generate theoretical materials to test" and they look silly.

Because now "AI" is so firmly wrapped up with the concept of "generative models" that people are, rightfully, on guard against any mention of AI whatsoever to the point where entirely distinct technologies get uselessly criticized under the same umbrella.

Like imagine if we had no other language but "tank" to describe motor vehicles, so if I said we needed "public transit vehicles" everyone thought I wanted M1A1 Abrams for civilian transit. That's what it's like talking about AI.

End ID]]

[rjas16]

The Human Impact of Generative AI

Shaping Tomorrow: How Generative AI Empowers People and Transforms Work

The Metaverse and Generative AI: Creating Immersive Experiences

Generative AI is swiftly transforming the landscape of numerous industries by enabling more efficient workflows and sparking once-impossible innovations. At the heart of this transformation is the capacity of generative AI to automate complex processes and generate new content, from visuals to code, thereby enhancing productivity and creative potential. This article sheds light on how generative AI is revolutionizing various sectors, improving communication through advanced natural language processing, personalizing experiences in healthcare, and even redefining content creation and software development.

The Power of Text-to-Image and Image-to-Image Generation

Generative AI technologies are redefining creativity and design by allowing for the seamless generation of visual content from textual descriptions. This capability accelerates the creative process and democratizes design capabilities, making them accessible to professionals without deep graphic design skills. Industries such as marketing and entertainment are reaping immense benefits from these advancements. For instance, graphic designers can now produce bespoke visuals in minutes, significantly reducing project turnaround times and allowing for greater scalability in creative projects, thereby enhancing business productivity.

This integration across business functions showcases the substantial efficiency gains that can be achieved, enabling companies to tailor their marketing materials quickly and in alignment with consumer preferences without requiring extensive manual effort.

Revolutionizing Software Development with Code Generation and Completion

Integrating generative AI into software development drastically enhances the efficiency and accuracy of coding processes. By automating mundane coding tasks, AI-powered tools free developers to focus on more complex and innovative aspects of software design. These advancements are not just about speeding up development but are transforming how software is created, tested, and deployed.

AI-Powered Coding Assistants

AI coding assistants like GitHub Copilot have been at the forefront of this transformation. According to a GitHub survey, developers using these AI tools report a 55% increase in productivity. These assistants leverage vast code repositories to offer real-time suggestions and complete lines of code, significantly speeding up the development process and reducing bugs.

For example, GitHub Copilot acts like a pair programmer, suggesting entire blocks of code based on natural language comments or a few lines of code. This greatly speeds up the coding process and enhances code quality by suggesting industry-standard practices and reducing errors.

Startups Leading the Charge in AI-Driven Code Generation

Several innovative startups are making waves in this space by focusing on specific niches of the development process

Tabnine - This tool uses machine learning to provide code completions for developers, supporting over a dozen programming languages. Its model learns from the codebase it's working on, offering tailored suggestions that improve over time.

Replit- Aimed at making coding more accessible, Replit provides a collaborative browser-based IDE with AI-powered coding assistance. It's particularly popular among educators and learners, democratizing access to coding tools and environments.

Codota- Like Tabnine, Codota offers intelligent code completions driven by AI. It integrates seamlessly with popular IDEs like IntelliJ and WebStorm, streamlining the development workflow by predicting needs and reducing repetitive coding tasks.

The Future of AI in Software Development

The trajectory of AI in software development points toward more integrated systems where AI tools assist with code and planning, testing, and deployment processes. These tools are expected to become more predictive, using historical data to guide development strategies and optimize team workflows.

By integrating AI into software development, the industry is seeing increased productivity and a shift in the developer's role from coder to innovator. As AI continues to evolve, the future of coding looks set to be more intuitive, creative, and, importantly, more efficient.

AI-Powered Content Creation: A New Era

The advent of generative AI is reshaping the landscape of content creation across multiple platforms. From crafting engaging blog posts to generating dynamic social media content and personalized emails, AI tools play a pivotal role in automating content generation, saving time, and maintaining a high standard of creativity and relevance.

Enhancing Productivity and Creativity

AI content generation tools are a boon for content creators, as they significantly reduce the time spent on content production. According to case studies from Jasper AI, thanks to AI assistance, content creators save an average of 3-4 hours per week. This time savings translates directly into increased productivity, allowing creators to focus more on strategy and less on the mechanics of content creation.

For instance, platforms like Jasper AI offer a range of content creation tools that automate the writing process, from first draft to finished piece, while ensuring the content is engaging and tailored to the audience. Similarly, Writesonic provides tools to enhance marketing content, enabling businesses to produce ads, product descriptions, and marketing copy quickly and efficiently.

The Role of AI in Personalization

Beyond sheer output, AI's real power in content creation lies in its ability to personalize content. By analyzing user behavior and preference data, AI can tailor content to meet the nuanced demands of different audience segments. This level of personalization is particularly effective in marketing, where tailored content can significantly improve engagement rates and conversions.

Navigating Challenges

While the benefits are substantial, using AI in content creation also presents challenges, particularly regarding the originality and authenticity of the content. To address this, many AI platforms are incorporating advanced algorithms that generate content and ensure that it is unique and aligns with the brand's voice. Additionally, a growing emphasis is on blending human creativity with AI efficiency to produce innovative and genuine content.

AI Tools Transforming the Content Landscape

Several other tools and platforms are at the forefront of this AI-driven content revolution

Grammarly leverages AI to correct grammar and enhance the tone and clarity of the text, making it more effective and audience-appropriate.

Articoolo creates unique textual content from scratch, simulating a human writer and significantly shortening the content development cycle

Advancements in Natural Language Processing: Understanding and Communicating Better

Natural language processing (NLP) is the heart of generative AI, enabling machines to understand and interact using human language. This technology has seen significant advancements in recent years, leading to improved communication tools and a deeper understanding of textual data across industries.

Enhanced Communication Tools

One of the most visible impacts of advanced NLP is improving communication tools such as chatbots and virtual assistants. These AI-driven systems can now handle complex conversations, understand nuances, and provide increasingly indistinguishable responses from human interactions. For instance, chatbots powered by sophisticated NLP models are used in customer service to respond instantly to customer inquiries, reducing wait times and improving customer satisfaction.

Sentiment Analysis and Translation

NLP is also pivotal in sentiment analysis, where AI models assess the emotional tone behind text data. This is incredibly useful for businesses to gauge customer sentiment from reviews, social media posts, and other interactions. Machine translation has benefited immensely from NLP, enabling more accurate and context-aware translations that are crucial in global communications.

Real-World Applications of NLP

Customer Service : AI-enhanced chatbots can now provide 24/7 customer service, precisely handling inquiries and redirecting complex issues to human operators.

Market Analysis : NLP tools analyze vast amounts of data from market research to provide insights into consumer behavior, trends, and preferences.

Healthcare : In the medical field, NLP is used to interpret and classify clinical documentation, helping in faster and more accurate patient diagnoses.

Cutting-Edge NLP Technologies

Platforms like OpenAI's GPT -4 are leading the charge in NLP technology. This model has set new standards for language models with its ability to generate coherent and contextually relevant text based on minimal input. This model and others like it are enhancing existing applications and paving the way for new uses that were previously unimaginable.

Challenges and Ethical Considerations

Despite its advancements, NLP faces challenges, particularly in bias and ethical use. Ensuring that AI systems do not perpetuate existing biases in training data is a significant concern that requires ongoing attention and refinement. Moreover, as NLP systems become more integrated into daily activities, privacy and data security questions become more pressing.

Generative AI in Healthcare and Drug Discovery: Accelerating Progress

Accelerating Drug Discovery

One of AI's most impactful applications in healthcare is accelerating the drug discovery process. Traditional drug development is notoriously time-consuming and costly, often taking over a decade and billions of dollars to bring a new drug to market. AI models can predict the effectiveness of compounds much faster than traditional experimental methods, reducing the time and financial investments required. For example, AI systems can simulate the interaction between drugs and biological targets to identify promising candidates for further development, thereby streamlining the early stages of drug discovery.

A McKinsey report highlights that AI has the potential to halve the time required for drug discovery, suggesting a reduction in timelines from 10 years to just five years. This not only speeds up the availability of new medications but also significantly cuts down on R&D costs.

Personalized Medicine

Beyond drug discovery, generative AI enhances personalized medicine, where treatments are tailored to individual patients. By analyzing genetic data, AI systems can predict how patients respond to various therapies, allowing for more personalized and effective care. This approach is particularly transformative in fields like oncology, where understanding the specific genetic makeup of a tumor can guide more targeted and effective treatment strategies.

AI in Medical Imaging

Another critical area where AI is making strides is in medical imaging. AI algorithms can process images faster and often more accurately than human radiologists, identifying subtle patterns that might be overlooked. Tools like Google Health's AI model for breast cancer screening, which has been shown to improve the accuracy of detecting breast cancer in mammograms, exemplify the potential of AI to enhance diagnostic accuracy and improve patient outcomes

Ethical Considerations and Challenges

While the benefits are substantial, integrating AI in healthcare raises significant ethical and privacy concerns. Data security, consent for using personal medical data, and ensuring AI does not perpetuate existing healthcare disparities must be addressed. These challenges require robust regulatory frameworks and ongoing oversight to ensure that the benefits of AI in healthcare are realized without compromising patient trust or safety.

AI-Driven Personalization: Tailoring Experiences for Maximum Impact

Artificial intelligence significantly enhances personalization across various sectors, transforming how services and content are delivered to meet individual preferences and needs. This customization is crucial in e-commerce, education, and media, where tailored experiences can significantly boost user engagement and satisfaction.

Personalized Recommendations

In e-commerce, AI-driven personalization engines analyze user behavior, past purchases, and browsing history to recommend products that users are more likely to purchase. Companies like Amazon and Netflix are renowned for using AI to generate personalized recommendations, which enhances the user experience and increases revenue through improved conversion rates.

Customized Learning Experiences

AI personalization in education revolutionizes learning by adapting content to fit each student's learning pace and style. Platforms like Khan Academy use AI to offer a customized learning path for each user, making education more accessible and effective by addressing individual learning needs and preferences. This approach helps identify areas where students struggle and provide targeted exercises to improve their understanding and retention of the subject matter.

Personalized AI-Powered Content Creation

AI is also making strides in personalized content creation. Tools like Grammarly and Quill Bot tailor writing aids to the user's style and preferences, improving written communication's clarity, tone, and grammaticality. This personalization enhances the writing process and ensures the content effectively conveys the intended message.

Business Benefits

Personalization can lead to significant business benefits, including increased customer loyalty and spending. A study by Deloitte found that companies that leverage consumer behavior insights through personalization see revenue increase by 6% to 10%, which is two to three times higher than those that don't. Personalized marketing campaigns ensure that customers receive messages that resonate with their specific needs and preferences, greatly enhancing the effectiveness of marketing efforts.

Democratizing Development: Low-Code/No-Code Platforms

The rise of low-code and no-code platforms marks a significant shift in how software and applications are developed. These platforms democratize the ability to build complex systems without extensive programming knowledge. This technology enables a broader range of people, including those without formal coding expertise, to create applications, automate workflows, and contribute to digital transformation efforts within their organizations.

Empowering Non-Technical Users

Low-code and no-code platforms such as Microsoft PowerApps, Google AppSheet, and Bubble empower non-technical users to build applications through intuitive graphical user interfaces. These platforms provide drag-and-drop components, pre-built templates, and simple logic formulas, making it easier for non-developers to bring their ideas to life quickly and efficiently.

Reducing Development Time and Costs

The impact of these platforms on development time and cost is profound. By simplifying the development process, low-code and no-code platforms can reduce the time to develop and deploy applications by up to 90%. This reduction accelerates innovation within companies and significantly cuts costs associated with traditional software development, such as hiring specialized development staff and lengthy project timelines.

Enhancing Business Agility

Companies utilizing low-code/no-code platforms can enhance their agility by quickly adapting to changing market conditions and business needs. These tools allow businesses to prototype and iterate on solutions rapidly, enabling a more responsive approach to customer needs and market dynamics.

Case Studies

Microsoft PowerApps has enabled companies to build custom business apps that connect to their data stored in the underlying data platform (Microsoft Dataverse) or in various online and on-premises data sources.

Bubble allows users to design interactive, multi-user apps for desktop and mobile browsers. Users can create web applications ranging from simple prototypes to complex SaaS applications without writing a single line of code.

Challenges and Considerations

While low-code and no-code platforms offer numerous benefits, they also present challenges, such as limited customization for complex requirements and potential issues with scaling as needs grow. Moreover, reliance on these platforms can lead to vendor lock-in, where businesses depend on the platform's capabilities and pricing structures.

The Future of Low-Code/No-Code

As these platforms mature, they are expected to become more robust, offering greater flexibility, integration options, and advanced features that cater to more complex development needs. The evolving landscape of low-code/no-code technology promises to blur the lines between technical and non-technical users, fostering a more inclusive environment for innovation across industries.

Scaling low-code and no-code platforms has inherent limitations and challenges that can impact their effectiveness, especially as organizational needs grow and become more complex. Here's a closer look at some of these limitations and how they might affect the broader adoption and scalability of these platforms

Customization and Flexibility

Limited Customization: Low-code and no-code platforms offer significant ease of use and speed through pre-built templates and drag-and-drop interfaces. However, they often need more flexibility for more complex, customized solutions. Businesses may find that these platforms can only sometimes accommodate the specific requirements or unique processes that differentiate them from their competitors.

Integration Issues: As organizations scale, the need to integrate with other systems and data sources increases. Low-code and no-code platforms sometimes need help with complex integrations or more support for specific external APIs, limiting their utility in a fully integrated tech ecosystem.

Performance and Scalability

Performance Constraints: Applications built on low-code/no-code platforms can suffer performance issues as user numbers increase and data loads become heavier. These platforms may need to be optimized for high-performance scenarios, leading to slower response times and reduced user satisfaction.

Scalability Challenges: Scaling applications built with low-code/no-code tools can be problematic, especially when dealing with large volumes of data or high transaction rates. While some platforms are improving their capabilities in this area, there remains a significant gap compared to custom-developed applications.

Security and Compliance

Security Concerns: The ease of application development also comes with the risk of creating security vulnerabilities, particularly if the platform does not enforce strict security standards. Organizations must be vigilant about the security aspects of applications developed through low-code/no-code platforms, especially when handling sensitive data.

Compliance Issues: Regulatory compliance can also be a concern, as the automatic code generation and data handling procedures of low-code/no-code platforms might not automatically align with specific industry regulations, such as GDPR or HIPAA, requiring additional oversight to ensure compliance.

Maintenance and Support

Dependence on Vendors: Using low-code/no-code platforms often means relying on the vendor for updates, security patches, and new features. This dependence can lead to issues if the platform does not evolve in line with the latest technological developments or if vendor support is lacking.

Technical Debt: Applications built on low-code/no-code platforms can accumulate technical debt if not properly maintained. This can lead to increased costs and resources being diverted to manage and upgrade legacy systems initially developed to save time and money.

Moving Forward with Low-Code/No-Code

Despite these limitations, strategic use of low-code and no-code platforms can still benefit many organizations, especially when used for specific purposes where the advantages outweigh the drawbacks. Businesses should carefully evaluate their long-term needs and choose platforms with the best ease of use, flexibility, and scalability. Understanding these limitations will help organizations make informed decisions about when and how to incorporate low-code and no-code solutions into their IT strategy, ensuring they can maximize the benefits while mitigating potential downsides.

AI-Enabled Cybersecurity: Staying Ahead of Threats

Artificial intelligence (AI) has emerged as a crucial ally in the rapidly evolving cybersecurity landscape. With cyber threats becoming more sophisticated and frequent, AI technologies are pivotal in enhancing defenses by automating detection, response, and prevention strategies. This integration of AI in cybersecurity is not just a trend but a necessary evolution to cope with the scale and complexity of modern cyber threats.

Enhanced Threat Detection

AI excels in identifying patterns and anomalies, which makes it ideal for threat detection. Machine learning algorithms can analyze vast amounts of data from network traffic, logs, and past incidents to identify unusual behavior that may signify a security breach. This capability allows for real-time threat detection, significantly reducing the time between infiltration and response.

Automated Response Systems

Once a threat is detected, the speed of response is critical. AI-powered systems can respond to threats faster than human teams, automating certain responses to common types of attacks. Rapid response capability can mitigate the effects of attacks, stopping them before they spread throughout the network or result in significant data loss.

Vulnerability Management

AI also aids in vulnerability management by identifying weak points in the network before attackers can exploit them. By continuously scanning systems and software for vulnerabilities and comparing them against emerging threats, AI systems can prioritize vulnerabilities that pose the most immediate risk, guiding cybersecurity teams on where to focus their remediation efforts.

Predictive Capabilities

One of the most promising aspects of AI in cybersecurity is its predictive capabilities. By learning from historical data, AI can predict the types of attacks likely to occur, enabling organizations to prepare defenses proactively rather than reactively. This forward-looking approach helps maintain a stronger security posture and better preparation against potential threats.

Challenges and Ethical Considerations

While AI significantly enhances cybersecurity efforts, it raises privacy and ethical data use challenges. The vast amounts of data required to train AI models must be handled responsibly to ensure privacy protections are not compromised. Furthermore, as AI systems become more autonomous in making security decisions, establishing clear accountability for decisions made by AI is crucial.

Embracing the Future with Generative AI

As explored throughout this article, generative AI is not just a technological advancement but an exponential shift recasting industry models, enhancing human creativity, and redefining what is possible in the digital age. From revolutionizing content creation to reshaping software development and pushing the boundaries in healthcare, AI's impact is profound and far-reaching.

Advancements in natural language processing have improved how we interact with machines, making them more intuitive and responsive. In cybersecurity, AI's predictive capabilities are setting new standards for protection, staying one step ahead of evolving threats. Meanwhile, in the realms of personalization and education, AI is creating experiences that are more tailored and impactful than ever before. However, the journey does not end here. The future holds even greater potential as we continue to innovate and integrate AI into various facets of our lives and work. The opportunities to leverage AI for driving growth, efficiency, and creativity are limitless, and the time to act is now.

Engage with Coditude

Are you ready to harness the power of generative AI to transform your business? Connect with Coditude today and join us at the forefront of this exciting revolution. Our team of experts is dedicated to helping you explore the vast possibilities of AI, from developing custom AI solutions to integrating AI-driven processes into your existing systems. Whether you're looking to enhance your cybersecurity defenses, streamline your content creation, or tap into AI's powerful analytics for strategic insights, Coditude is here to guide you every step of the way. Let's build the future together—innovative, efficient, and brighter than ever.

[neturbizenterprises]

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Note: This video contains an affiliate link - where if you click on it, there is a possibility that the Manufacturer may provide me a commission.

Whether you're a seasoned professional or just starting out, Leonardo AI is here to revolutionize your creative process. Simply put, Leonardo AI is creativity unleashed. Leverage your generative AI creativity with a unique suite of tools to convey your ideas to the world. Leonardo AI hosts a community of creations while offering generative AI utilities that inspire creative minds in various fields such as character design, game assets, concept art, graphic design, fashion marketing advertising, product photography architecture interior design and so much more!

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[the-hwaelweg]

Working in publishing, my inbox is basically just:

Article on the Horrors of AI

Article on How AI Can Help Your Business

Article on How AI Has Peaked

Article on How AI Is Here to Stay Forever

Article on How AI Is a Silicon Valley Scam That Doesn't Live Up to the Promise and In Fact Can't Because They've Literally Run Out of Written Words to Train LLMs On

[drchucktingle]

three point tether

the reason art with ai at the creative helm will never get traction in any long term or meaningful trot is because art is more than what is in the text of the book, or notes of the song, or runtime of the movie. art is whats OUTSIDE of the medium, a performance piece between creator and experiencer

i say this all the time and i think most buckaroos think im off in the clouds as eccentric ART WEIRDO (theyre NOT WRONG) but in a practical BUSINESS sense what i am saying is true. folks want to pretend art is in some lab where art and artist and viewer are separate things. but they never will be

art exists outside of a vacuum. it is not static. it grows and lives and evolves based on culture its in and who is experiencing it. whether you know it or not, what you LIKE or DISLIKE has just as much to do with the story AROUND the art than the art itself.

you carry what you know about me to my tinglers, you carry what you know about the beatles to the beatles, you even carry what you DONT KNOW to artists and THAT changes your experience. the STORY outside of the art is unavoidable because the lack of a story is still a story

so what does this have to do with ai art? my point is, the STORY of ai generated art is potentially interesting when it FIRST happens, or when its a one of one, but when it is co-opted by corporations to make slop, or when you consider the ethics of data scraping and theft, the story becomes sour

in other words, REGARDLESS OF WHAT AI GENERATED ART ‘MAKES’, the STORY outside of the story is derivative and unethical. what is even more important, and the greatest problem of all, is that its very very BORING. ‘oh wonderful someone made a painting from a prompt CANT WAIT to dive into this world’

so fundamentally these projects from tech goofs only serve to show that they have absolutely no understanding of art in the first place. the starry night is not just a painting, it is a three point tether between van gogh, the painting and us, which is constantly breathing and moving and living

if i was to give advice to any artist about how to stand out in their field i would say this: figure out what YOUR STORY is, not just within your chosen medium, but OUTSIDE of any medium. THAT STORY is your art, and it is infinitely cosmically unique. USE IT. EMBRACE IT. that is your power buckaroo

[alchemiclee]

if I had money, I would pay someone to rewrite heaven official's blessing, but lesbian. if I was rich, i'd pay someone to turn it into a whole manga

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[river-taxbird]

There is no such thing as AI.

How to help the non technical and less online people in your life navigate the latest techbro grift.

I've seen other people say stuff to this effect but it's worth reiterating. Today in class, my professor was talking about a news article where a celebrity's likeness was used in an ai image without their permission. Then she mentioned a guest lecture about how AI is going to help finance professionals. Then I pointed out, those two things aren't really related.

The term AI is being used to obfuscate details about multiple semi-related technologies.

Traditionally in sci-fi, AI means artificial general intelligence like Data from star trek, or the terminator. This, I shouldn't need to say, doesn't exist. Techbros use the term AI to trick investors into funding their projects. It's largely a grift.

What is the term AI being used to obfuscate?

If you want to help the less online and less tech literate people in your life navigate the hype around AI, the best way to do it is to encourage them to change their language around AI topics.

By calling these technologies what they really are, and encouraging the people around us to know the real names, we can help lift the veil, kill the hype, and keep people safe from scams. Here are some starting points, which I am just pulling from Wikipedia. I'd highly encourage you to do your own research.

Machine learning (ML): is an umbrella term for solving problems for which development of algorithms by human programmers would be cost-prohibitive, and instead the problems are solved by helping machines "discover" their "own" algorithms, without needing to be explicitly told what to do by any human-developed algorithms. (This is the basis of most technologically people call AI)

Language model: (LM or LLM) is a probabilistic model of a natural language that can generate probabilities of a series of words, based on text corpora in one or multiple languages it was trained on. (This would be your ChatGPT.)

Generative adversarial network (GAN): is a class of machine learning framework and a prominent framework for approaching generative AI. In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. (This is the source of some AI images and deepfakes.)

Diffusion Models: Models that generate the probability distribution of a given dataset. In image generation, a neural network is trained to denoise images with added gaussian noise by learning to remove the noise. After the training is complete, it can then be used for image generation by starting with a random noise image and denoise that. (This is the more common technology behind AI images, including Dall-E and Stable Diffusion. I added this one to the post after as it was brought to my attention it is now more common than GANs.)

I know these terms are more technical, but they are also more accurate, and they can easily be explained in a way non-technical people can understand. The grifters are using language to give this technology its power, so we can use language to take it's power away and let people see it for what it really is.

[deorwineinfotech]

The topic of whether humans or AI are better at creating content depends on a number of factors, including the context in which the content is created. In this aspect, both humans and AI have advantages and disadvantages. Let’s look at the benefits of each:

[oc-ology]

How to OC post without being an artist (or spending money)!

As much as I yelled about OC-posting, some people said that they struggled to know what exactly they should be posting. Obviously the answer is whatever you feel like but if you’re already aimless, that answer isn’t very helpful. Additionally, not everyone knows how to draw (which I think is an obvious method of OC-posting) so I wanted to give some ideas for what people could post for their OC! This will be split up into different sections.

Creating visual representations of your OC

Disclaimer: I will not suggest nor support the usage of generative AI. OCs are about creating something yourself, not allowing a computer to do it for you.

Outside of commissioning someone else for art, it can be disappointing and frustrating to not have any visual representation for your character. An easy way to get a representation of your character is to use Picrew, Meiker and other similar sites. There’s a large number of art styles, types of fashion, species, that can all be used to make your OC and that amount only grows by the day. Many of these websites can be accessed on PC and mobile and take very little processing power.

However, this can be limiting at times since you might not find exactly what you’re looking for, especially if your OC has a unique combination of features. For something with more customisation, you can use video games with character creation to make a version of your character. I personally would recommend games like The Sims or Skyrim as both have very active modding communities. This way, if a certain type of clothing or facial feature isn’t present in the base game then you can often find someone who has created a mod that adds it in instead. This does require you to have access to a computer that can run not only the game but the mods as well.

Another option would be using a program like Vroid Studio to make your character from a base model. This has both a mobile and PC version, although I will primarily be speaking from a PC perspective. The mobile app, while able to create a character from scratch, is a lot more limited than the PC version. The great thing about Vroid is that there’s a lot of user-made content that you can often get for free through websites like Booth, as well as many tutorials for beginners to follow along with. Again, this requires a computer that is able to run it. I would recommend against using Vroid on a laptop as it will likely be too intensive for it.

My final suggestion for character visuals is to take a character from anime or cartoons and simply edit them. This was actually how I first got into making original characters! You can recolour their hair or outfits with an editing program (with some free examples being FireAlpaca, Krita or GIMP) and even edit different images together to create something more unique. Please only do this with characters from existing media and avoid using fanart for this.

Other OC visuals

Other than just what your OC looks like, there are other ways to visually put together your OC. Moodboards are the most obvious example of this, but you can also edit other things such as putting together outfits for them or finding pictures of items they would keep in their bag.

If you have multiple OCs, you can create fake text conversations between them using a number of websites. These can be as silly or as serious as you like!

Finally, you can always build them a pinterest board. I am a massive pinterest enjoyer and not only can you use pins that others have posted to pinterest, you can add your own from off the site. 

Writing

Beyond writing out your characters’ story, there are numerous other things you can write. Keeping in line with what you’ve already written, you can re-write scenes from alternative perspectives. These can add context to what is seen in the main story, as well as flesh out background or side characters and their relationship to your other OCs.

Another fun thing to write is non-canon scenes. Write a beach episode! Write about a character getting sick and someone else having to take care of them! There are countless ways to draw your OCs interacting with their world or other characters that wouldn’t necessarily ever fit into the “main” story.

Next is genre changes. If you had to categorise the genre of your OCs’ current story, what would it be? Now image what if the genre was something completely different? Romance to mystery… Slice of life to horror… Part of the challenge is figuring out what story beats remain the same and what gets changed, including character dynamics! And of course… Alternate Universes. There are too many types of AUs to list but some of my favourites are superpowers, mafia, zombies, time loops and time-travel-fix-its. These are similar to genre-changes but often include a number of AU specific tropes. If you’re struggling to figure out the staples of a certain AU or what kind of AUs exist, there’s a really good page about alternate universes on Fanlore.org!

Other ideas

These are ideas that didn’t quite fit into the other categories.

First is music playlists! There are two types of these. The first is a playlist of songs that describe a character and their story while the second is a playlist of songs that the character would listen to. Some people like to combine the two as well! There are no rules to this, simply have fun listening to music and picking out songs that remind you of your OCs.

Second is incorrect quotes. I remember these used to be beloved by fandom and now they can be beloved by you and your OCs! The concept of incorrect quotes is that well-known and funny quotes from pop culture (such as memes or movies) get written out and your characters are assigned a line of dialogue. While there’s a website that’ll generate these incorrect quotes for you, I personally find more fun in coming across quotes organically while scrolling social media and realising that they fit my OCs almost perfectly.

Finally, ask games. These typically take the form of lists of questions or prompts with emojis or numbers next to them. People can send in the relevant emoji or number and you then answer the corresponding prompt. There used to be a kind of “ask game etiquette” where if you reblogged an ask game from someone, you sent an ask from the list to them as well. This way, it allows the game to continue circulating and you can spread the joy of OC-posting with others! It can also lead you to making friends within the community.

And that’s it for my post! If you have other suggestions for kinds of OC-posting then I would love to see them!

[femslash-february]

Welcome to Raptor’s Femslash February Bingo 2025! Round 2: Electric Boogaloo

This year with four different prompt bingo cards—light prompts, dark prompts, spicy prompts, a combined one with all prompts—to celebrate Femslash February 2025. All fandoms, content and warnings welcome! Enjoy! ❤️

Rules and prompts in text form under the Read More!

Rules:

When: all of February

What: focus of your work should be a wlw / femslash / f/f ship, i.e. a ship with two or more female presenting characters, gender bending welcome

How: it’s totally chill, just do a single prompt or aim for bingo(s), whatever you want! You can get your bingos with one fic, with multiple fics, whatever you like. Choose one of the bingo cards and mark what prompts you're using. Interpret the prompts however you'd like.

Any fandoms, any characters, any ships, any content though please tag appropriately, any type of fanwork—fics (no minimum or maximum wordcount!), art, poetry, moodboards... go wild!

Tag #femslash feb bingo when posting it here on Tumblr and mention this blog so we see your posts and can reblog

AI-generated works are NOT allowed

Crossposting with other events allowed

Most of all: have fun!

Prompts in text form

Light prompts: Wilderness Accidental baby acquisition “Tell me again.” Meet ugly Body swap First kiss Mirror History Once in a lifetime “Who else but you?” Wrong number Opposites Token Curse Festival “I’ve been waiting a long time.”

Dark prompts:

“You could have died.” Last kiss Chains Before the fall Attic wife By a thousand cuts “Do you regret it?” Demon Fatal flaw Spite Poisoned Bad neighbors Hunting “And you thought I loved you.” Forbidden Mind control

Spicy prompts:

Begging Rope bondage Shower sex “Does that feel good?” Sex pollen Marking Blindfold Size Difference Breathplay “Stop distracting me.” Power Exchange Dirty Talk “Behave.” Orgasm Denial Praise kink Suspension