#ChatGPT best practices

[mybreadsmybutters]

this site makes me feel like a liberal cuck for occasionally using AI to complete assignments like oh my GOD you dweebs dont even fuck with cheating in school!!!

[novelistparty]

just saw someone nerdsplain via chatgpt in a yt comment: "I already knew this but chatgp can explain it much better and type way faster then[sic] i can......" aaaaaaaaaaaaaaaaaaaaa

[richardtheteacher]

Discover how generative AI like ChatGPT is transforming the classroom. Learn practical ways teachers can use AI to plan lessons, differentiate instruction, give feedback, and boost student outcomes—all while saving time and energy.

[mehmetyildizmelbourne-blog]

SEO is Dead — Long Live AIO: How to Win with AI-Optimized Content

Alright, listen up, because SEO just got a facelift, and it’s wearing a fancy new AI-powered outfit. All those tired old tips you’ve been clinging to for dear life? Yeah, they’re about as relevant as a floppy disk now. But don’t panic — I’ve got the scoop on how to keep your content shining bright in this brave new world where robots rule the roost. Write Content AI Actually Wants to…

[intelliatech]

Top 10 ChatGPT Prompts For Software Developers

ChatGPT can do a lot more than just code creation and this blog post is going to be all about that. We have curated a list of ChatGPT prompts that will help software developers with their everyday tasks. ChatGPT can respond to questions and can compose codes making it a very helpful tool for software engineers.

While this AI tool can help developers with the entire SDLC (Software Development Lifecycle), it is important to understand how to use the prompts effectively for different needs.

Prompt engineering gives users accurate results. Since ChatGPT accepts prompts, we receive more precise answers. But a lot depends on how these prompts are formulated. 

To Get The Best Out Of ChatGPT, Your Prompts Should Be:

Clear and well-defined. The more detailed your prompts, the better suggestions you will receive from ChatGPT.

Specify the functionality and programming language. Not specifying what you exactly need might not give you the desired results.

Phrase your prompts in a natural language, as if asking someone for help. This will make ChatGPT understand your problem better and give more relevant outputs.

Avoid unnecessary information and ambiguity. Keep it not only to the point but also inclusive of all important details.

Top ChatGPT Prompts For Software Developers

Let’s quickly have a look at some of the best ChatGPT prompts to assist you with various stages of your Software development lifecycle.

1. For Practicing SQL Commands;

2. For Becoming A Programming Language Interpreter;

3. For Creating Regular Expressions Since They Help In Managing, Locating, And Matching Text.

4. For Generating Architectural Diagrams For Your Software Requirements.

Prompt Examples: I want you to act as a Graphviz DOT generator, an expert to create meaningful diagrams. The diagram should have at least n nodes (I specify n in my input by writing [n], 10 being the default value) and to be an accurate and complex representation of the given input. Each node is indexed by a number to reduce the size of the output, should not include any styling, and with layout=neato, overlap=false, node [shape=rectangle] as parameters. The code should be valid, bugless and returned on a single line, without any explanation. Provide a clear and organized diagram, the relationships between the nodes have to make sense for an expert of that input. My first diagram is: “The water cycle [8]”.  

5. For Solving Git Problems And Getting Guidance On Overcoming Them.

Prompt Examples: “Explain how to resolve this Git merge conflict: [conflict details].” 6. For Code generation- ChatGPT can help generate a code based on descriptions given by you. It can write pieces of codes based on the requirements given in the input. Prompt Examples: -Write a program/function to {explain functionality} in {programming language} -Create a code snippet for checking if a file exists in Python. -Create a function that merges two lists into a dictionary in JavaScript.  

7. For Code Review And Debugging: ChatGPT Can Review Your Code Snippet And Also Share Bugs.

Prompt Examples: -Here’s a C# code snippet. The function is supposed to return the maximum value from the given list, but it’s not returning the expected output. Can you identify the problem? [Enter your code here] -Can you help me debug this error message from my C# program: [error message] -Help me debug this Python script that processes a list of objects and suggests possible fixes. [Enter your code here]

8. For Knowing The Coding Best Practices And Principles: It Is Very Important To Be Updated With Industry’s Best Practices In Coding. This Helps To Maintain The Codebase When The Organization Grows.

Prompt Examples: -What are some common mistakes to avoid when writing code? -What are the best practices for security testing? -Show me best practices for writing {concept or function} in {programming language}.  

9. For Code Optimization: ChatGPT Can Help Optimize The Code And Enhance Its Readability And Performance To Make It Look More Efficient.

Prompt Examples: -Optimize the following {programming language} code which {explain the functioning}: {code snippet} -Suggest improvements to optimize this C# function: [code snippet] -What are some strategies for reducing memory usage and optimizing data structures? 

10. For Creating Boilerplate Code: ChatGPT Can Help In Boilerplate Code Generation.

Prompt Examples: -Create a basic Java Spring Boot application boilerplate code. -Create a basic Python class boilerplate code

11. For Bug Fixes: Using ChatGPT Helps Fixing The Bugs Thus Saving A Large Chunk Of Time In Software Development And Also Increasing Productivity.

Prompt Examples: -How do I fix the following {programming language} code which {explain the functioning}? {code snippet} -Can you generate a bug report? -Find bugs in the following JavaScript code: (enter code)  

12. Code Refactoring- ChatGPt Can Refactor The Code And Reduce Errors To Enhance Code Efficiency, Thus Making It Easier To Modify In The Future.

Prompt Examples –What are some techniques for refactoring code to improve code reuse and promote the use of design patterns? -I have duplicate code in my project. How can I refactor it to eliminate redundancy?  

13. For Choosing Deployment Strategies- ChatGPT Can Suggest Deployment Strategies Best Suited For A Particular Project And To Ensure That It Runs Smoothly.

Prompt Examples -What are the best deployment strategies for this software project? {explain the project} -What are the best practices for version control and release management?  

14. For Creating Unit Tests- ChatGPT Can Write Test Cases For You

Prompt Examples: -How does test-driven development help improve code quality? -What are some best practices for implementing test-driven development in a project? These were some prompt examples for you that we sourced on the basis of different requirements a developer can have. So whether you have to generate a code or understand a concept, ChatGPT can really make a developer’s life by doing a lot of tasks. However, it certainly comes with its own set of challenges and cannot always be completely correct. So it is advisable to cross-check the responses. Hope this helps. Visit us- Intelliatech

[bhawaybhalla]

Prompt Engineering: The #1 Skill That Will Unlock Your AI Potential in 2024

Imagine having a superpower that allows you to converse with the most advanced AI systems on the planet, shaping their output to perfectly suit your needs. Welcome to the dynamic world of prompt engineering – the art and science of crafting the instructions that guide AI models to generate amazing text, translate languages, write different kinds of creative compositions, and much more. In this…

[kariniai]

Strategic Approaches to Generative AI Adoption in Enterprises

In the past twelve months, the corporate landscape has been abuzz with the potential of generative AI as a groundbreaking innovation. Despite broad recognition of its transformative power, many firms have adopted a tentative stance, cautiously navigating the implementation of this technology.

Is a cautious approach prudent, or does it inadvertently place companies at risk of lagging in a rapidly evolving technological landscape?

Recent investigations forecast the staggering benefits of generative AI, suggesting potential productivity gains in trillions of dollars per annum by 2030 if harnessed effectively.

The rewards surpass the apprehensions, provided the adoption of this technology is executed with strategic foresight. It's not about restricting generative AI but about sculpting its usage within well-defined parameters to mitigate potential challenges, including uncontrolled expenses, security breaches, compliance issues, and employee engagement.

Below, we outline ten strategic approaches for enterprises to capitalize on generative AI effectively and securely.

Adopt a Streamlined Approach to Business Case Development: Generative AI, an emerging technology, demands a departure from traditional business case development. Enterprises should prioritize rapid experimentation and learning to pinpoint practical technology applications swiftly. Discover and Explore

Action Points:

Accelerate pilot projects and proof-of-concept initiatives to cultivate knowledge and skills.

Discover and Explore and Test on repeat

Avoid:

Postponing initiatives due to the need for more absolute clarity.

Over-reliance on cumbersome business case development processes.

Initiate with Straightforward Applications: Before venturing into more complex applications, begin by unlocking value within existing business processes.

Action Points:

Concentrate on internal applications as foundational steps.

Prioritize data readiness for customized solutions.

Avoid:

Early deployment of customer-facing applications due to higher associated risks.

Use case lock where you’re working to solve a specific problem in one particular way.

Streamline Technology Evaluation: Most generative AI tools offer similar capabilities, rendering extensive evaluation unnecessary.

Action Points:

Collaborate with firms like Karini.ai for initial use cases whose platform provides immediate access to no-code tools for operationalizing Gen AI smartly.

Focus on trust and integration capabilities that open your LLMs, Models, and Data to all available options.

Avoid:

Elaborate and potentially outdated analysis of technology providers.

Vendor lock on a single platform that will cause crippling limitations.

Harness External Expertise: The scarcity of AI expertise necessitates partnerships for successful implementation and integration.

Action Points:

Assess internal expertise gaps, seek external support accordingly, and embrace a low-code/no-code platform, i.e., Karini.ai, which will keep the journey quick and safe.

Facilitate technology assimilation into the enterprise.

Avoid:

Isolated attempts at implementation.

Restrictive partnerships limit future technological choices.

Design a Flexible System Architecture: Architectures must be dynamic to accommodate evolving technologies, use cases, and regulatory landscapes.

Action Points:

Foster innovative and forward-thinking architectural design.

Anticipate and plan for future architectural adjustments.

Avoid:

Rigid architectures based on present-day technology functioning.

Over-reliance on existing processes for future technology support.

Implement Robust Security Protocols: Addressing generative AI's unique security challenges through custom policies and robust partnerships.

Action Points:

Develop tailored policies and procedures.

Partner with platforms that are active protectors of your data security.

Avoid:

Dependence on outdated security frameworks.

Technology adoption paralysis due to fear of risk.

Establish Innovative KPIs: New KPIs should reflect generative AI's unique value and impact on business operations.

Action Points:

Develop KPIs centered around long-term value creation.

Learn from both successes and failures.

Avoid:

Ignoring the learning opportunities presented by unsuccessful initiatives.

Foster Open Communication: Ensure continuous feedback and open communication channels for iterative improvement and employee engagement.

Action Points:

Integrate feedback mechanisms into all AI systems, like Karini uses in our CoPilot. 👍👎💬

Maintain transparent communication about AI's impact on the workforce.

Avoid:

Relying solely on conventional feedback methods.

Promote Comprehensive Learning and Development: Equip employees with the necessary skills and understanding to leverage AI tools effectively.

Action Points:

Provide extensive learning opportunities; Gen AI is empowering.

Align learning initiatives with broader change management strategies.

Avoid:

Limiting learning opportunities to direct users of AI tools AI needs to be democratized.

Embrace Iterative Learning: Cultivate a learning and continuous improvement culture to maximize the value derived from generative AI.

Action Points:

Prioritize learning and skill enhancement.

Engage in iterative development to refine use cases and technology applications.

Avoid:

Pursuing overly ambitious initial use cases.

Disregarding the evolving nature of AI technologies.

As enterprises stand at the cusp of this generative AI revolution, adopting a 'wait-and-see' approach may inadvertently place them at a competitive disadvantage.

The promise of generative AI far overshadows the perceived risks, demanding proactive engagement rather than cautious observation. Now is the opportune moment for enterprises to embrace generative AI, navigating its introduction with calculated measures to offset potential risks.

For further insights, explore our website or engage with our team. 

About us:

Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform.

Contact us:

Jerome Mendell

(404) 891-0255

sales@karini.ai

[communistkenobi]

(taken from a post about AI)

speaking as someone who has had to grade virtually every kind of undergraduate assignment you can think of for the past six years (essays, labs, multiple choice tests, oral presentations, class participation, quizzes, field work assignments, etc), it is wild how out-of-touch-with-reality people’s perceptions of university grading schemes are. they are a mass standardised measurement used to prove the legitimacy of your degree, not how much you’ve learned. Those things aren’t completely unrelated to one another of course, but they are very different targets to meet. It is standard practice for professors to have a very clear idea of what the grade distribution for their classes are before each semester begins, and tenure-track assessments (at least some of the ones I’ve seen) are partially judged on a professors classes’ grade distributions - handing out too many A’s is considered a bad thing because it inflates student GPAs relative to other departments, faculties, and universities, and makes classes “too easy,” ie, reduces the legitimate of the degree they earn. I have been instructed many times by professors to grade easier or harder throughout the term to meet those target averages, because those targets are the expected distribution of grades in a standardised educational setting. It is standard practice for teaching assistants to report their grade averages to one another to make sure grade distributions are consistent. there’s a reason profs sometimes curve grades if the class tanks an assignment or test, and it’s generally not because they’re being nice!

this is why AI and chatgpt so quickly expanded into academia - it’s not because this new generation is the laziest, stupidest, most illiterate batch of teenagers the world has ever seen (what an original observation you’ve made there!), it’s because education has a mass standard data format that is very easily replicable by programs trained on, yanno, large volumes of data. And sure the essays generated by chatgpt are vacuous, uncompelling, and full of factual errors, but again, speaking as someone who has graded thousands of essays written by undergrads, that’s not exactly a new phenomenon lol

I think if you want to be productively angry at ChatGPT/AI usage in academia (I saw a recent post complaining that people were using it to write emails of all things, as if emails are some sacred form of communication), your anger needs to be directed at how easily automated many undergraduate assignments are. Or maybe your professors calculating in advance that the class average will be 72% is the single best way to run a university! Who knows. But part of the emotional stakes in this that I think are hard for people to admit to, much less let go of, is that AI reveals how rote, meaningless, and silly a lot of university education is - you are not a special little genius who is better than everyone else for having a Bachelor’s degree, you have succeeded in moving through standardised post-secondary education. This is part of the reason why disabled people are systematically barred from education, because disability accommodations require a break from this standardised format, and that means disabled people are framed as lazy cheaters who “get more time and help than everyone else.” If an AI can spit out a C+ undergraduate essay, that of course threatens your sense of superiority, and we can’t have that, can we?

[funnygirlthatbelle]

i suspect that a huge factor in the defense of students using gen ai (and academic dishonesty in general tbh) comes from the fundamental misunderstanding of how school works.

to simplify thousands of educator's theories into the simplest terms, there are two types of stuff you're learning in school: content and skills. content is what we often think of as the material in school- spelling, times tables, names, dates, facts, etc.- whereas skills are usually more subtle. think phonics, mental math, reading comprehension, comparing and contrasting; though students do those things often, the how usually isn't deemed as important as the what.

this leads to a disconnect that's most obvious when students ask the infamous "when will we use this in the real world?" they have- often correctly- identified content that the content is niche, outdated, or not optimized but haven't considered the skills that this class/lesson/assignment will teach.

i can think of two shining examples from when i was a kid. one was in middle school when they announced that we were now gonna be studying latin, and we all wondered why on earth they would choose latin as our foreign language. every adult promised us it'd be helpful if we went into medicine, law, or religion (ignoring that most of us didn't want to go into medicine, law, or religion), but we didn't buy that and never took it seriously. the truth was that our new principal knew that learning languages gets harder as you get older, and so building the skills of learning a language while it was easy for us was more important than which language we learned, and that's an answer twelve year old me would've actually respected.

similarly, my geometry class all hated proofs. we couldn't think of a single situation where you'd have to convince someone a triangle was a triangle and "look at it, of course it's a triangle" wouldn't be an acceptable answer. it was actually the band director who pointed out that it wasn't literally about triangles; it was about being able to prove or disprove something, anything using facts.

and so, so, so many assignments that are annoying as hell in school make more sense when you think about the skills as well as the content. "why do i have to present information about something the teacher obviously already knows about?" because research, verifying sources, summarizing, and public speaking are all really important skills. "why does this have to be a group project?" because you will have to work with other people in your life, and learning how to be a team player (and deal with people who aren't) is an essential skill. "why do we have to read these scientific articles and learn about graphs?" because if you can understand them, people can't lie to you about them.

now, of course, there's a lot we could do better- especially we as in the american school system. the reason i have an education minor but am not teaching is because of those issues. there are plenty of assignments that are busywork and teachers that are assholes and ways that the system is failing us.

but that doesn't mean you should cut off your nose to spite your face!

the ability to learn and grow and think critically is one of our most powerful tools as people. our brains are capable of incredible things! however, the same way you can't lift a car unless you consistently lift and build up to that, your brain needs to train in order to do its best.

so yeah, maybe chatgpt can write a five paragraph essay for you on the differences between thomas jefferson and alexander hamilton's governing philosophies. and maybe it won't even fuck it up! congratulations, you got away with it. but by outright refusing to use your brain and practice these skills, who have you helped? you haven't learned anything. worse, you haven't even learned how to learn.

[technicalfika]

Unveiling the Hidden Potential of ChatGPT: How Scrum Masters can Revolutionize Agile Project Management

In the dynamic world of software development, Scrum Masters play a pivotal role in orchestrating efficient teamwork and ensuring the successful delivery of projects using the Agile Scrum framework. However, the responsibilities of a Scrum Master go beyond just facilitating meetings and removing impediments. To truly excel in their role, Scrum Masters can tap into the untapped power of AI-driven…

[qqueenofhades]

hi I hope you don't mind but I would love to hear your long tired historian rant you mentioned in your tags on that one post, if you feel in the mood to share? (no pressure!)

(also thank you for existing, you do wonderful work and the world is a better place for you being in it)

Aha. Well. For context, the mention of said rant was in relation to this post:

Basically, this post struck a nerve because of how it exactly encapsulates the anti-intellectual, anti-academia, anti-historical, anti-reality thinking that is absolutely rampant in social media spaces, even and especially spaces that identify as leftist, liberal, or otherwise "superior" to the right wing when it comes to identifying fake news or misinformation. (Example A: anything ever written by a self-proclaimed leftist on Twitter.) We all know that there are huge problems with the American public school system (and the people writing this are almost always American) and the American practice of education in general, and that yes, there are many things that happened in the past (or y'know, the present!) that are not taught very well, or at all. But because the American public school system is so decentralized and largely autonomous, incredibly dependent on the temperament of local superintendents and/or school boards, taxation and funding, availability of teachers, requirement of useless standardized tests, etc., it is very difficult (if not outright impossible) to claim that this is the result of a Unified Grand Conspiracy To Not Teach Real History To The Youth In Order To Make Them Mindlessly Support Capitalism. That is the exact sort of deranged conspiratorial thinking that the right wing does and fits everything into a sinister narrative about how "They" are planning to keep you ignorant and therefore nothing harmful that you ever think or do is really your fault. It's not good.

(Whoosh. That was very calm and reasonable of me. For the rest of this post, please just picture Captain Holt "apparently that's a trigger for me" dot gif.)

Also: even in public school, and despite the Republicans' best efforts, there are plenty of opportunities to study complex or "controversial" subjects. For example, I spend a week every June grading AP Euro History exams with a lot of other educators in a giant windowless steel box (woo-hoo, fun times!) Every year, there are questions on the exam about women's rights, imperialism and exploitation, slavery/race relations, the development of capitalism and the current economic model, religion and science, the history of labor, and other topics that would be considered "controversial" if you're an idiot. This is an exam taken by high school students in all grades from across the country, and there are also AP World History and APUSH (US history) exams every year which are doubtless making an effort to address similar themes. This is an advanced program, yes, but it's widely available to many schools and is not a result of a sinister plot to keep the youth from discovering the truth. Also: you live in an era of absolutely unprecedented access to information. Put down the ChatGPT bullshit generator and visit a goddamn public library. Or even open Wikipedia. The tools are there for you to start educating yourself and they are so easy to find!!!!!

The "Historians Are Hiding The Truth!!!" narrative becomes even more ridiculous in university-level or professional academic historical-study spaces, especially when historical educators and associations (such as the American Historical Association) have been at the forefront of pushing back against right-wing efforts to censor history, punish teachers, and remove culture-war subjects from classrooms. Also as someone who has advanced degrees in history, has taught/worked in several universities in different countries, writes and publishes historical research, and otherwise participates professionally in the field: trust me, we aren't "hiding" shit. There are vigorous debates and disagreements on various bogglingly obscure subjects and points of clarification and so forth, but that doesn't mean we're not talking about them (trust me, we're often talking about them too much). If you're issuing confident blanket statements about how "historians are conspiring to hide x," you're an idiot.

This also has dangerous repercussions in the field of, say, politics and civics, where a lot of absolutely braindead Online Leftists have spent the last four years posting deranged nonsense on social media and then, whenever they're called out on it for that not actually being how anything works at all, whining that "I was never taught this!!!" (And yet, it somehow never actually changes their perspective or their theories....) They whine about how "they didn't know this" and it was someone else's fault, they make up total fantasy about what the Biden administration did or should have done and now are still happy about Trump coming back because "It will teach the Democrats a lesson!!!" and otherwise accelerating us oh-so-quickly down that slippery slippery fascism slope. Their weaponized ignorance and their magical fantasies about what "should" have happened often come back to this same learned helplessness, where it's everyone else's fault (especially Capitalism's) that they're total wankers. Look: I'm not a goddamn fan of capitalism either. But we all grew up in this same system, and some of us aren't raving idiots, so at some point, you have to take the tiniest modicum of personal responsibility for the information you seek out, the content you consume, the opinions you propagate, and the people you surround yourself with. Shocking.

I've said it before and I'll say it again, Online Leftists are actively and unrepentantly enabling American fascism and should be treated in the same way as we treat MAGA when it comes to deciding what is good or worthwhile information. This is because their entire political philosophy (insofar as their beliefs can be dignified with the term) is based on the "make shit up and remove it from any basic empirical references, grounding in reality, or 'should I run the most basic Google search and see if I'm completely talking out of my ass in a distorted social media echo chamber? Nah I'm good' " technique. This is, as the original tweet above references, trying to retcon sheer malicious laziness and stupidity into grand ideological theories about how it's actually "better" that they don't know a damn thing and won't shut up. It's your evil history teacher's fault, or "academics are all rich and elitist" (ask any academic-precariat person like me and we will laugh hollowly and then throw monkey poop at you), or "They" wouldn't let you learn this, or on and on. Even in our terrible, awful, no-good very-bad timeline, there are still ample tools to educate yourself, to learn how to filter out bad information and junk news, and otherwise gird yourself even a little for the even-more-massive assault on empirical reality that we are about to experience in the next four years (ugh). I suggest you take advantage of them.

[thewinastudyblog]

some advice i have for future computer science students

as soon as you learn data structures & complexity, run, don’t just walk, RUN to leetcode while the knowledge is still fresh in your mind. your entire career and whether you’ll get a well-paying job vs an average paying job depends on how good you are at leetcode.

build as many projects as you can, and i’m not talking tutorial projects that take a few hours, i’m talking big projects. working on a project for a month or two will get you really far.

if you don’t have an internship, do not waste your summers, learn new technologies, languages, concepts and build projects you can put in your cv.

try to participate in hackathons and coding competitions. it’s okay if you fail, but you’ll learn a lot.

learn how to read documentation. most tutorials don’t even cover a quarter of what a language, framework or software has to offer. the sooner you make reading documentation a habit, the better it is. and yes i know, documentation is long and hard to read. my advice is only read the sections that are relevant to you in the moment. something i also personally do is look at the code examples at the same time as i am reading the paragraphs, it really helps easily absorb the information.

try not to use chatgpt. and if you do, then at least use it for stuff you know you can do yourself and will be able to correct if the bot gets it wrong. using chatgpt is a very slippery slope and the more you use it the less you learn.

the math is important. math teaches you how to reason and how to develop better logical thinking. just because you don’t see yourself using the xyz theorem you’ve learnt anytime in the future doesn’t mean the math is useless.

be prepared to get comfortable with erros, issues, bugs and just problems in general. you’ll be coding 30% of the time and debugging 70% of the time (i’m exaggerating but sometimes it feels like this is the case lol), and that’s okay, it’s how we learn and the sooner you embrace it the better. if you’re someone who easily gets frustrated, then this is a heads up.

learn as you go. there is no such thing as waiting until you know everything before you start on a project. the only way and the best way to learn in this field is practice, so build, build, and build.

these are all the ones i could think of for now. feel free to comment your thoughts and questions <3

[dragonnarrative-writes]

Generative AI Is Bad For Your Creative Brain

In the wake of early announcing that their blog will no longer be posting fanfiction, I wanted to offer a different perspective than the ones I’ve been seeing in the argument against the use of AI in fandom spaces. Often, I’m seeing the arguments that the use of generative AI or Large Language Models (LLMs) make creative expression more accessible. Certainly, putting a prompt into a chat box and refining the output as desired is faster than writing a 5000 word fanfiction or learning to draw digitally or traditionally. But I would argue that the use of chat bots and generative AI actually limits - and ultimately reduces - one’s ability to enjoy creativity.

Creativity, defined by the Cambridge Advanced Learner’s Dictionary & Thesaurus, is the ability to produce or use original and unusual ideas. By definition, the use of generative AI discourages the brain from engaging with thoughts creatively. ChatGPT, character bots, and other generative AI products have to be trained on already existing text. In order to produce something “usable,” LLMs analyzes patterns within text to organize information into what the computer has been trained to identify as “desirable” outputs. These outputs are not always accurate due to the fact that computers don’t “think” the way that human brains do. They don’t create. They take the most common and refined data points and combine them according to predetermined templates to assemble a product. In the case of chat bots that are fed writing samples from authors, the product is not original - it’s a mishmash of the writings that were fed into the system.

Dialectical Behavioral Therapy (DBT) is a therapy modality developed by Marsha M. Linehan based on the understanding that growth comes when we accept that we are doing our best and we can work to better ourselves further. Within this modality, a few core concepts are explored, but for this argument I want to focus on Mindfulness and Emotion Regulation. Mindfulness, put simply, is awareness of the information our senses are telling us about the present moment. Emotion regulation is our ability to identify, understand, validate, and control our reaction to the emotions that result from changes in our environment. One of the skills taught within emotion regulation is Building Mastery - putting forth effort into an activity or skill in order to experience the pleasure that comes with seeing the fruits of your labor. These are by no means the only mechanisms of growth or skill development, however, I believe that mindfulness, emotion regulation, and building mastery are a large part of the core of creativity. When someone uses generative AI to imitate fanfiction, roleplay, fanart, etc., the core experience of creative expression is undermined.

Creating engages the body. As a writer who uses pen and paper as well as word processors while drafting, I had to learn how my body best engages with my process. The ideal pen and paper, the fact that I need glasses to work on my computer, the height of the table all factor into how I create. I don’t use audio recordings or transcriptions because that’s not a skill I’ve cultivated, but other authors use those tools as a way to assist their creative process. I can’t speak with any authority to the experience of visual artists, but my understanding is that the feedback and feel of their physical tools, the programs they use, and many other factors are not just part of how they learned their craft, they are essential to their art.

Generative AI invites users to bypass mindfully engaging with the physical act of creating. Part of becoming a person who creates from the vision in one’s head is the physical act of practicing. How did I learn to write? By sitting down and making myself write, over and over, word after word. I had to learn the rhythms of my body, and to listen when pain tells me to stop. I do not consider myself a visual artist - I have not put in the hours to learn to consistently combine line and color and form to show the world the idea in my head.

But I could.

Learning a new skill is possible. But one must be able to regulate one’s unpleasant emotions to be able to get there. The emotion that gets in the way of most people starting their creative journey is anxiety. Instead of a focus on “fear,” I like to define this emotion as “unpleasant anticipation.” In Atlas of the Heart, Brene Brown identifies anxiety as both a trait (a long term characteristic) and a state (a temporary condition). That is, we can be naturally predisposed to be impacted by anxiety, and experience unpleasant anticipation in response to an event. And the action drive associated with anxiety is to avoid the unpleasant stimulus.

Starting a new project, developing a new skill, and leaning into a creative endevor can inspire and cause people to react to anxiety. There is an unpleasant anticipation of things not turning out exactly correctly, of being judged negatively, of being unnoticed or even ignored. There is a lot less anxiety to be had in submitting a prompt to a machine than to look at a blank page and possibly make what could be a mistake. Unfortunately, the more something is avoided, the more anxiety is generated when it comes up again. Using generative AI doesn’t encourage starting a new project and learning a new skill - in fact, it makes the prospect more distressing to the mind, and encourages further avoidance of developing a personal creative process.

One of the best ways to reduce anxiety about a task, according to DBT, is for a person to do that task. Opposite action is a method of reducing the intensity of an emotion by going against its action urge. The action urge of anxiety is to avoid, and so opposite action encourages someone to approach the thing they are anxious about. This doesn’t mean that everyone who has anxiety about creating should make themselves write a 50k word fanfiction as their first project. But in order to reduce anxiety about dealing with a blank page, one must face and engage with a blank page. Even a single sentence fragment, two lines intersecting, an unintentional drop of ink means the page is no longer blank. If those are still difficult to approach a prompt, tutorial, or guided exercise can be used to reinforce the understanding that a blank page can be changed, slowly but surely by your own hand.

(As an aside, I would discourage the use of AI prompt generators - these often use prompts that were already created by a real person without credit. Prompt blogs and posts exist right here on tumblr, as well as imagines and headcannons that people often label “free to a good home.” These prompts can also often be specific to fandom, style, mood, etc., if you’re looking for something specific.)

In the current social media and content consumption culture, it’s easy to feel like the first attempt should be a perfect final product. But creating isn’t just about the final product. It’s about the process. Bo Burnam’s Inside is phenomenal, but I think the outtakes are just as important. We didn’t get That Funny Feeling and How the World Works and All Eyes on Me because Bo Burnham woke up and decided to write songs in the same day. We got them because he’s been been developing and honing his craft, as well as learning about himself as a person and artist, since he was a teenager. Building mastery in any skill takes time, and it’s often slow.

Slow is an important word, when it comes to creating. The fact that skill takes time to develop and a final piece of art takes time regardless of skill is it’s own source of anxiety. Compared to @sentientcave, who writes about 2k words per day, I’m very slow. And for all the time it takes me, my writing isn’t perfect - I find typos after posting and sometimes my phrasing is awkward. But my writing is better than it was, and my confidence is much higher. I can sit and write for longer and longer periods, my projects are more diverse, I’m sharing them with people, even before the final edits are done. And I only learned how to do this because I took the time to push through the discomfort of not being as fast or as skilled as I want to be in order to learn what works for me and what doesn’t.

Building mastery - getting better at a skill over time so that you can see your own progress - isn’t just about getting better. It’s about feeling better about your abilities. Confidence, excitement, and pride are important emotions to associate with our own actions. It teaches us that we are capable of making ourselves feel better by engaging with our creativity, a confidence that can be generalized to other activities.

Generative AI doesn’t encourage its users to try new things, to make mistakes, and to see what works. It doesn’t reward new accomplishments to encourage the building of new skills by connecting to old ones. The reward centers of the brain have nothing to respond to to associate with the action of the user. There is a short term input-reward pathway, but it’s only associated with using the AI prompter. It’s designed to encourage the user to come back over and over again, not develop the skill to think and create for themselves.

I don’t know that anyone will change their minds after reading this. It’s imperfect, and I’ve summarized concepts that can take months or years to learn. But I can say that I learned something from the process of writing it. I see some of the flaws, and I can see how my essay writing has changed over the years. This might have been faster to plug into AI as a prompt, but I can see how much more confidence I have in my own voice and opinions. And that’s not something chatGPT can ever replicate.

[mehmetyildizmelbourne-blog]

Is SEO Dead or Simply Evolving?

A Strategic Perspective on AI, Content Search, and the Future of Content Marketing Information Management and Knowledge Dissemination While it is difficult to provide a precise count, a simple Google search for “SEO” yields millions of results, indicating the subject’s extensive coverage. This abundance indicates the importance of SEO in digital marketing and the ongoing interest in optimizing…

[agirlwithglam]

📚 It girl's guide to school 📚

hiii girls! this is part of the big Guide to being the It Girl. this section will be all about school, studying and academics. i'll teach you how to tackle school, get the highest grades effortlessly, and look chic and gorgeous doing it! the rest of the ultimate it girl series is linked! 🎀

guide to getting good grades:

LISTEN IN CLASS. one of the best tips ever. if you would actually listen to what your teachers teaching in class, you’d get to spend a lot less time studying.

ask if you need help! these teachers are qualified for the job, they’re meant to be good at it. so if you don’t understand something, don’t be afraid to ask. and if you’re really too much of a chicken, ask once the class is over or email the teacher. but honestly? half the kids probably aren’t even listening tbh so u do ur thing!

participate in class. actually participating in class will help you so much in recalling the information. it’s a great way to actively revise. you don’t have to be a teachers pet or anything, but if you know the answer, put yourself out there. anyone who judges you simply judges themselves and their inability to speak up.

change up your environment so that you're still interested and excited to learn! you could go to a coffee shop, set up a mini picnic in the woods, go to a library, etc.

use alter egos!! i will never stop recommending this because it really is an amazing tip. either you can create your own alter ego who loves to study and gets high grades, or you could pretend you're rory gilmore or hermione granger!

revision/ study techniques:

feynman technique: teach it to someone else/ to plushies. try not to look at your notes too much, pretend ur a teacher.

use practice questions/ practice exams! trust me this can be so helpful! try and find past exams and go over them in exam conditions so you can see what u missed later. or, you can get all the info and ask an AI like chatgpt to write questions based on it and go through them!

BLURTING! love this method! basically, you write all the information you know about the topic on one page (optional: set a time limit) and then go over it with a different colour pen and add in what you missed. do this a couple times until you haven't missed anything! - you can do this by creating a mind-map, or literally just scribbling down everything you know.

SQ3R method: survey/ skim over the text, question- make questions on it, read- begin reading to find the answers to the questions, recite- summarise the words in a section in your own words, review- quiz yourself on what you just learnt

organise/ prioritise what you need to study using the traffic light method. first, identify the topics, then highlight them according to these 3 colors: red- struggling a lot/ no idea , yellow- okay ish, need to work on it a bit tho , green- good understanding & confident on the topic.

make associations. this is especially helpful for when you need to memorise things. the thing you need to memorise- link it to stuff that you already know.

⭐️ use mnemonics, songs, raps to remember! a couple years back, my science teacher made us create a rap on osmosis (a biology term). and not even kidding, i still remember the simple definition of what it does because of that rap! so create songs or rap and maybe even make a whole music video on it! trust me, not only is it so fun but it really does help keep the information in your mind!

more resources:

huge big list of studying and school

another big study masterpost

100 reasons to study

how to be a whole new student this year

ACE your exams -by me!

study icons:

as i mentioned earlier, channelling the energy of a character who already studies and gets good grades is an amazing way of getting yourself motivated! here are some of my favs & tips to study like them! (p.s i've also added links to the names for a more in depth guide on each person!)

♡ rory gilmore

she loves studying- develop that mindset! have a passion for learning more.

"i can go from 0 to studying in less than 60 seconds"

switch between different subjects when you get bored

ask someone to test you with flashcards

♡ elle woods:

study while you exercise- take care of ur body too!

"what, like its hard?"- i love her sm for this!! if anyone else can do something, of course you can do it too!

be ambitious + have strong source of motivation

get into study groups

♡ paris geller

have the discipline and ambition to do the things that will get you to where you want.

"i want to win, and i'm going to win." - love this, she's sure of herself and confident in her abilities.

prioritise & use to do lists

start early to be the top of your class!

♡ blair waldorf

honestly its so fun to embody her energy of high value, cares about her education, so confident and takes no sh*t from others!

"anything you can do, i can do better"

always have a plan

have flash cards, take notes

♡ hermione granger

always participate in class!

read more about the material. + learn more!

teach others & help them study

finish the hw/ work quickly and do the extra credit!

stylish in school 101:

SURVIVING SCHOOL AIR: here are some tips to staying/ looking pretty and refreshed all day at school bc u and i both know the horrors of school air 🙀 :)

DRINK WATER. stay hydrated - very important. always drink water. this keeps your lips hydrated, face hydrated, and just makes you look a lil less dead.

lip gloss/ lip balm to reapply throughout the day, esp for my girlies with chapped lips! i keep lip balm in my pocket so its always there when needed, but you can also keep it in your locker/ bag/ pencil case.

perfume. you can keep it in your locker/ bag/ pencil case to spray whenever needed and smell sweet and amazing the entire day <3

stop touching your face!! your hands have so much crusty dust and bacteria that can give pimples on your face.

keep hair away from your face. leave it out if you want, but try to make sure it doesn't touch your face too much- it also has tons of crusty musty dusty germs

keep a hairbrush in your locker. listen, i know how messy hair can get during school so keeping it in school is SO helpful to maintain the tidyness and cleanliness

waterproof makeup - if you wear makeup.

sunscreen!! keep. applying. SUNSCREENN!! i'm not going to elaborate further on this point.

ACCESSORISING YOUR UNIFORM!!

this is for the girlies who have a school uniform! i understand it can be so annoying so to have more fun and feel more confident, ACCESSORIZEE everything as much as you're allowed! here are some ideas!

♡ necklesses

♡ bracelets

♡ bows in your hair

♡ bows in your bag

♡ bows everywhere basically 🎀

♡ decorate your ipad/ pencilcase with stickers

♡ headbands

♡ rings

♡ cute earrings

♡ cute watch

♡ nails

♡ a cute clip!

the ultimate it girl series

xoxo, vanilla!

[baocean]

𝙗𝙤𝙮𝙨 𝙡𝙞𝙠𝙚 𝙮𝙤𝙪

⤷ chapter five - lucky me

one year ago

you had slid into your seat fifteen whole minutes before class started, laying out your laptop and checking the time every few minutes.

it was quiet, contained in the classroom of your intro class, a few people talking quietly amongst themselves or tucked away in their phone.

it was quiet- until two tall boys, giggling and bumping each other, barged into the room.

one boy was a touch taller, a buzz cut a little grown out, a big toothy smile painting his tan features. kildare lacrosse hoodie and sweatpants, high end shoes, a backpack slung over one shoulder.

the other- all dimpled smile and blue eyes. he was laughing, like, really laughing. head tilted back, blond hair a mess of sunlit curls, mouth wide, carefree.

there was grass on his worn vans, a little sunburn across his cheeks from the north carolina sun. he was cute. in a boyish, proper schoolgirl crush kind of way. the kind girls warned each other about in bathrooms and still smiled at anyway.

they took the seats behind you. no drama, no swagger, just gravity.

your professor droned on at the front of the class, something about “collaborative peer-to-peer engagement” and “partner interviews”, you were too busy shamefully distracted by the jokes the boys behind you were throwing at each other.

“jj maybank? raise your hand.” your professor looks up from his attendance sheet and your eyes wander around the room.

you turn your head and sneak another peak at the blonde boy behind you, your heart spiking when you see his hand, lazily held in the air.

“okay, jj. you’re paired with…let’s see…yn. yn?”

you raise your hand, smiling as you turn back around to jj maybank. “guess we’re partners.”

he stands up, moves down the isle and into the seat next to you. he smells like grass, cologne that makes your head dizzy, sun. and then he smiles at you.

yes.

“lucky me, huh? at least you’re easy on the eyes.”

oh. absolutely no.

you freeze. your face contorts, pulling back a little as you look at buzz cut, who’s putting his head into his hands to keep from laughing.

“coulda been paired with rafey back there. yea, he’s weird about eye contact.” jj grins.

“you’re charming.” your tone is nothing but annoyed. jj sensed it, taking in the look on your face.

“you are hot. that wasn’t like, a line or anything.” he tries to mend, let you in on his joke.

you just stare at him, your lips turned up in a scowl. “do you talk like that to every girl you’ve just met?”

jj opens his mouth to answer, but rafe leans in between you two and answers first.

“only the ones he has absolutely no chance with. hi, rafe cameron.” he sticks his hand out over the desk and towards you.

you hesitantly shake it, before sighing, gaze landing back on jj. “don’t call me hot.”

“what? don’t like the compliment? i can call you gorgeous instead?” jj asks, a tilt to his head and that same smile that is now, very annoying.

you smile, no sincerity behind it. you wait a beat, then say, “rafe’s right. you have absolutely no chance.”

jj’s smile drops and rafe slaps the desk as he lets out a laugh. you look back down at your laptop, opening up a google doc like you didn’t just make the boy next to you rethink his whole life.

“i’m telling you, you’re going to love it here,” kie grinned, practically bouncing on her feet. “my friends are the best. you’re gonna fit right in.”

your new roommate had dragged you away from your dorm to a beach party six miles off campus. you were perfectly happy going to a study room, simply making up information about your new partner. or making chatgpt write it for you. anything but actually getting to know him.

she ignored your protests, her excitement building. “trust me, you’re going to have so much fun. wait till you meet j, he’s my best friend, you’ll see him around a lot. he’s, like, always at these things.”

you two neared a group of guys, standing close to each other in a circle. all wearing the familiar kildare lacrosse sweatshirts you'd been introduced to earlier. great.

"guys! this is my new roommate, yn!" kie let go of you, waiting for the boys to turn.

you saw a boy with scruffy brown hair, a boy who's hood was over his head and glasses over his eyes. you watched rafe cameron turn around and snort when he sees you. and then, jj maybank looked over his shoulder, his smile promptly dropping.

you stared at him for a second as the air between you two went cold. 

jj’s voice was almost a groan as his head dropped back. “ohhhh no.”

kie glanced back and forth between you two, clearly confused. “wait, do you guys know each other?”

jj gave a sarcastic chuckle. “oh, we know each other alright.”

you crossed your arms, feeling the frustration rise. “we’ve met. he was a dick."

kie turns to jj, "what's going on?"

"we're partners for a project in intro to psych. yn didnt like what i had to say."

"probably because it was rude." you said with a raised eyebrow, giving him a pointed look.

jj shrugged, unbothered. “hey, im just keeping it real.”

“yeah, well, being ‘real’ doesn’t mean you have to be a asshole.” you muttered, shaking your head.

his friends laugh. rafe slaps him on the back, stepping away and muttering something about grabbing you a drink.

kie, watching the back-and-forth, raised an eyebrow and deadpanned, “oh, this is gonna be so much fun.”

her phone - present

yourusername: ya i’ll skip class for this

sarahcam: i want to bite you

sarahcam: i will be your father figureeee

↳ yourusername: go away 😭😭😭

johnbroutledge: bro stole my beach spot

↳ yourusername: not sorry

↳ johnbroutledge: j is gonna be pissed maaaan 😂

↳ yourusername: don’t care 😆

kiaracarrera: GAH DAMN

kiaracarrera: how could you go to the beach without me 😕

cleoanderson: so freaking cute

rafecam: already skipping classes? 🙂‍↔️🙂‍↔️

↳ yourusername: GET OUTTTT

tagged - popeheyward, rafecam

jjmaybank: SIRI PLAY KNOCKIN ON HEAVENS DOOR

johnbroutledge: and put it on repeat

rafecam: legendary pull

↳ jjmaybank: 🤷🤷🤷

kiaracarrera: cutie patooties

↳ jjmaybank: ☺️☺️

↳ rafecam: ☺️☺️

↳ popeheyward: ☺️☺️

↳ kiaracarrera: annoying mfs.

sarahcam: 🙂

↳ jjmaybank: 🙁

xoxo, mimi - hi! sorry i probably should have made this a little more clear but yn and jj don’t follow each other on instagram yet! i feel like that’s kind of crucial to know 😭

masterlist | next chapter

taglist (taglist is open!) @babyamors / @jombies / @luvrclub / @yesshewrites1 / @cassiewritessalot / @rottinglexi / @certifiedjjsimp / @str4wb3rrym1lkl0v3r / @cinderellieeeeeeeeeeee / @isinpfortvdmen / @doesnt-care / @dylsdaily / @wasiasproject / @chuuuchuuutrain / @dr3amgrlll / @4jjsbank / @abigailovesz / @lmaowhatt / @idli-dosa / @papercranesandinkstains / @dramagodesss / @ayy1234567 / @wrtzia / @reeseswirl / @mrrayjay / @cokewithcameron / @moonywhisp3rs / @acidfeens / @78kate / @lillell467