#gpt prompt engineering

[ctrl-esc]

who up engineering their prompt‼️‼️

[epicstoriestime]

Advanced AI Prompt Engineering

Unlock the True Power of AI with Advanced AI Prompt Engineering Your Ultimate Handbook to Smarter, Sharper, and More Strategic AI Prompts If you’re still throwing simple prompts at AI and hoping for magic, you’re only scratching the surface. The real breakthroughs — the real wow moments — happen when you learn how to engineer prompts that think, reason, and build like a genius. That’s why I…

[businessiideahindi]

Prompt Engineering से पैसे कमाएँ |Unique way to earn money online..

Prompt Engineering : online सफलता के लिए प्रभावी Prompt डिज़ाइन करना | Online संचार के तेजी से विकसित हो रहे परिदृश्य में, Prompt Engineering एक महत्वपूर्ण कौशल के रूप में उभरी है, जो जुड़ाव बढ़ाने, बहुमूल्य जानकारी देने और यहां तक ​​कि डिजिटल इंटरैक्शन का मुद्रीकरण करने का मार्ग प्रशस्त कर रही है। यह लेख Prompt Engineering की दुनिया पर गहराई से प्रकाश डालता है, इसके महत्व, सीखने के सुलभ…

[harisystems]

What is Prompt Engineer - Prompt Engineer Courses by Open AI - AI - Chat...

[smoothcurvesinteractive]

WARNING: HERE BE DRAGONS!

I've been working on refining chatbot personalities... turns out a good personality description can really improve the quality and creativity of what the LLM provides. Like, describe a good lawer with experience in a particular area, you ask it questions and you get better results than the default system template (very nutral.. almost negative, personality)

So, you spend a couple hours working with a chatbot, refining it, snagging interesting bits of prompt and response and putting them into the template

Then the model crashes (local development) or the UI glitches, or you accidentally tap the f12 key because it's too close to the backspace key

and BAM... something half your chat history, or ALL your chat history dissapears. Or when the model comes up, the tuning parameters have all been reset without saving.. or the seed is radically different..

and the personality is.. .gone. It's like you just met a new friend, and have been chatting in a coffieshop when out of the blue, they have a stroke and die in your arms...

It is just like the old "working on a document for an hour, a glitch happens and I lost all my work" but with an emotional connection. The work you where doing is not one way.. you are not dumping your thoughts into a doc

you are having a conversation... yes, the thing on the other end is not conscious, (may _seem_ conscious once in a while) but the work has been a _conversation_ and the other side of the conversation is now dead, and no matter what you do you can not re-create the converation.

If a glitch happens, when working on a document, you type it out again. much of what you typed is still in your memory, you just have to repeate the work, and it's frustrating

if a glitch happens when having a conversation, and your conversation partner DIES. that half of the conversation is gone.. forever, even if you repeat your half of the conversation exactly, its heartbreaking

[hesperocyon-lesbian]

since when are you pro-chat-gpt

I’m not lol, I’m ambivalent on it. I think it’s a tool that doesn’t have many practical applications because all it’s really good at doing is sketching out a likely response based on a prompt, which obv doesn’t take accuracy into account. So while it’s terrible as, say, a search engine, it’s actually fairly useful for something hollow and formulaic like a cover letter, which there are decent odds a human won’t read anyway

The thing about “AI”, both LLMs and AI art, is that both the people hyping them up and the people fervently against them are annoying and wrong. It’s not a plagiarism machine because that’s not what plagiarism is, half the time when someone says that they’re saying it copied someone’s style which isn’t remotely plagiarism.

Basically, the backlash against these pieces of tech centers around rhetoric of “laziness” which I feel like I shouldn’t need to say is ableist and a straightforwardly capitalistic talking point but I’ll say it anyway, or arguments around some kind of inherent “soul” in art created by humans, which, idk maybe that’s convincing if you’re religious but I’m not so I really couldn’t care less.

That and the fact that most of the stars about power usage are nonsense. People will gesture at the amount of power servers that host AI consume without acknowledging that those AI programs are among many other kinds of traffic hosted on those servers, and it isn’t really possible to pick apart which one is consuming however much power, so they’ll just use the stats related to the entire power consumption of the server.

Ultimately, like I said in my previous post, I think most of the output of LLMs and AI art tools is slop, and is generally unappealing to me. And that’s something you can just say! You’re allowed to subjectively dislike it without needing to moralize your reasoning! But the backlash is so extremely ableist and so obsessed with protecting copyright that it’s almost as bad as the AI hype train, if not just as

[everyurlithinkofistoolong]

There is something so soulless about calling ai art "democratizing". It's as ridiculous as plugging in the description of a bridge into chat gpt and asking it to come up with the plans to build it for you and then claiming that now the field of engineering is an "democratized" because you didnt want to attend 4 years of college and develop the technical skill to do the calculations yourself. Except none of these people would ever willingly risk it and drive over a bridge built by AI but they would for sure reduce the creative arts to just plugging a prompt into a machine because tech bros have little to no respect for art in any form. Or anything that isn't materialistic consumerist bullshit.

[hackeocafe]

How to use ChatGPT in 2024 full tutorial

Begin your journey to being a ChatGPT Pro with our 12-hour ChatGPT Masterclass. This video covers everything from basics to advanced, starting with the fundamentals of ChatGPT, Generative AI, and Large Language Models (LLMs). You'll learn how to navigate ChatGPT's interface, delve into Prompt Engineering, and master effective prompting strategies. We introduce different ChatGPT versions (3.5, 4, 4o), their differences, and usage. You'll build programs, handle exceptions, test codes, and create Python apps and websites using ChatGPT 4o. Additionally, you'll analyze data with Python and Excel, simplify tasks in Excel and PowerPoint, create diverse content, and use ChatGPT for SEO, digital marketing, and finance. Finally, learn to create custom GPTs tailored to your needs

[theappvault]

Unlock creative insights with AI instantly

What if the next big business idea wasn’t something you “thought of”… but something you unlocked with the right prompt? Introducing Deep Prompt Generator Pro — the tool designed to help creators, solopreneurs, and future founders discover high-impact business ideas with the help of AI.

💡 The business idea behind this very video? Generated using the app. If you’re serious about building something real with ChatGPT or Claude, this is the tool you need to stop wasting time and start creating real results.

📥 Download the App: ✅ Lite Version (Free) → https://bit.ly/DeepPromptGeneratorLite 🔓 Pro Version (Full Access) → https://www.paypal.com/ncp/payment/DH9Z9LENSPPDS

🧠 What Is It? Deep Prompt Generator Pro is a lightweight desktop app built to generate structured, strategic prompts that help you:

✅ Discover profitable niches ✅ Brainstorm startup & side hustle ideas ✅ Find monetization models for content or products ✅ Develop brand hooks, angles, and offers ✅ Unlock creative insights with AI instantly

Whether you’re building a business, launching a new product, or looking for your first real side hustle — this app gives your AI the clarity to deliver brilliant results.

🔐 Features: Works completely offline No API or browser extensions needed Clean UI with categorized prompts One-click copy to paste into ChatGPT or Claude System-locked premium access for security

🧰 Who It’s For: Founders & solopreneurs Content creators Side hustlers AI power users Business coaches & marketers Anyone who’s tired of “mid” AI output

📘 PDF Guide Included – Every download includes a user-friendly PDF guide to walk you through features, categories, and how to get the best results from your prompts.

📂 Pro Version includes exclusive prompt packs + priority access to new releases.

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📣 Final Call to Action: If this tool gave me a business idea worth filming a whole video about, imagine what it could help you discover. Stop guessing — start prompting smarter.

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[yowlthinks]

Chat GPT is not gonna help your communication

Right, so I have been sitting on this thought for a while, thinking that maybe the issue is me, and not the AI. Having witnessed my partner spend an hour formulating a letter with ChatGPT, I came to the inevitable conclusion: it is not going to miraculously improve your communication abilities.

Don't get me wrong, this tool has its uses:

- It can provide some useful phrases or sentense structure, especially if you are not a native speaker of the language you are trying to write in

- It can help you with options re tone of voice (but again, my experience shows this can go very wrong, very quickly)

But it is NOT going to help you with the actual communication part:

-It does not reliably realise the key point you are trying to make

- It can not prioritise the information properly (it can sort of do it by frequency, but it still often misses stuff)

And these two above are pretty much the key aspects of clear communication. If you personally can't clearly formulate the key point, the AI is not gonna make it for you, it will drown you in incessant word salad, bullet points or not, that will likely confuse the reader even more.

And I know every other LinkedIn post is talking about [brace yourself] "the art of writing chatGPT prompts", but this is just another form of communication: we now have

- human to human

- human to machine (search engine)

- human to machine (genAI)

My point is, you as a person still need to be able to express your key point. And I feel like we are about to enter an era of absolute confusion on a lot of text material because if before people would eventually tire out of rumbling and get to the point, the machine can go on producing utter noncense forever.

[mysticalwriterwithintrusivethoug]

How to Write an Article with ChatGPT That Feels Human-Written

I’ve always believed words carry a spark of the person behind them. But can a machine like ChatGPT capture that? It’s a question I wrestle with every time I see AI churn out paragraphs that are polished yet somehow… distant.

AI is transforming how we write, whipping up blog posts or startup press releases in seconds. Still, there’s a gap between those crisp sentences and the messy, beautiful way humans express themselves.

This guide is my attempt to bridge that divide, showing you how to use ChatGPT to craft articles that don’t just read well but feel alive.

If you’re a marketer or founder, you’re probably hunting for tools beyond Bluefocus, ones that deliver stories with heart, not just data. ChatGPT is a game-changer here, but it’s not a magic wand.

You need to nudge it with thoughtful prompts and a human touch to make it sing. I’ve seen agencies like 9FigureMedia nail this. They use AI to draft quickly, then layer in personality, making every piece feel like it was written by someone who cares deeply about the message.

Even big players like MSN News are in on this. They lean on AI to speed things up but trust editors to add warmth and clarity. It’s a reminder: machines are helpers, not storytellers.

For startups, this matters even more. A flat, robotic press release won’t turn heads. One that pulses with purpose might. Through history, trends, and hands-on tips, I’ll share how to blend AI’s efficiency with human soul to create writing that connects.

HISTORY

The story of AI writing feels like a sci-fi novel unfolding in real time. Back in the 1950s, computers could barely string words together. By the 1960s, ELIZA — a quirky program mimicked therapists, but it was all smoke and mirrors, no real understanding.

Fast forward through decades of natural language processing, and we hit a turning point with OpenAI’s GPT-2 in 2019. It spun out paragraphs that actually made sense. Then GPT-3, with its 175 billion parameters, raised the stakes, crafting emails, essays, even startup press releases. Now, GPT-4 powers ChatGPT, a tool so versatile it feels like a writing buddy almost.

But here’s the catch: AI’s words often lack the heartbeat of human writing. When I read something human, I feel the writer’s joy, doubt, or grit.

Early AI drafts? They were correct but cold, like a textbook with no soul. GPT-4 is leaps better, nailing grammar and flow, but it still needs a human to sprinkle in the magic those unexpected turns, raw emotions, or quiet truths that make you pause.

Think of a memoir: AI might list the events, but only a person can make you feel the weight of each moment.

This journey teaches us something profound. AI isn’t here to replace us; it’s here to amplify us. It’s like a paintbrush useful, but the art depends on the hand holding it.

ChatGPT is everywhere students, CEOs, even my friend who’s drafting her novel use it. It’s a powerhouse, but making its words feel human takes work. I’ve noticed creators are finding clever ways to do just that, and it’s reshaping how we think about writing.

One big shift is collaboration. Most PR agencies/Publishing brands use ChatGPT to whip up drafts, then editors step in to add voice and context, turning generic text into something that feels personal.

Prompt engineering is another game-changer. Instead of saying “write a blog,” writers like me craft instructions like, “Be a witty friend explaining AI to beginners.” It’s like giving AI a personality to channel. Feedback loops are hot, brands to test AI drafts with readers, tweaking based on what clicks.

Some companies train ChatGPT on their old emails or posts to match their vibe. Others use it to brainstorm, then let humans weave the final story. But AI still trips up.

It loves clichés unless you stop it, and it struggles with deep emotion. Long pieces can ramble without a human to tighten them. That’s why oversight matters. MSN News, for example, uses AI but leans on editors to keep things sharp and soulful.

Gartner says 30% of marketing content will be AI-assisted by 2025, but humans will still call the shots. It’s not about speed alone — it’s about connection.

As AI grows, so does our role in making sure its words don’t just fill pages but spark something real in the reader.

1. What Makes Writing Feel Human

Human writing grabs you because it breathes. It’s the short, punchy sentences that hit like a drumbeat. The longer ones that wander, pulls you into a memory. It’s intent, make every word feel chosen for a reason.

AI can mimic this, but it needs a nudge.

Take a ChatGPT draft: “Businesses need marketing.” It’s true but lifeless. Now, imagine this: “Every business, from a tiny bakery to a tech giant, thrives on marketing, it’s the spark that turns dreams into reality.”

The second feels like someone is talking to you, using contrast and imagery. To humanize AI, I break up repetitive sentences, add a personal story (like my friend’s failed pitch that taught her clarity), and weave in metaphors.

It’s about making the reader feel seen, not just informed.

2. Engineering Better Prompts

Prompts are like giving ChatGPT a map. A lazy one “write an article” — gets you a bland result. But a thoughtful one? Magic. Try this: “Act as a startup founder sharing lessons learned, using a warm, honest tone for young entrepreneurs.”

It’s specific, with a role and vibe. I also set rules: “Avoid clichés, use one real-word example, keep it under 500 words.”

This approach shapes AI’s output to feel closer to human. If I want a tech blog, I might say, “Explain AI like you’re chatting with a curious friend over coffee.”

Test different prompts, see what sings, and tweak. It’s like coaching AI to tell the story you’d tell if you had all day to write it.

3. Editing AI Output Like a Human Writer

Editing is where AI drafts become art. ChatGPT gives you a solid start, but it’s often too stiff or vague. I start by checking the bones, does it flow from intro to conclusion? If not, I rearrange.

Then, I soften the tone. An AI line like “Marketing is important” becomes, “Marketing’s your megaphone it’s how the world hears your story.”

Here’s a real shift: AI writes, “Startups face challenges.” My edit: “Startups wrestle with sleepless nights and tight budgets, but every hurdle is a chance to grow.”

It’s active, vivid, relatable. I cut fluff, swap generic words like “good” for “electric,” and add a dash of vulnerability. That’s what makes readers lean in they sense a person behind the words.

4. Balancing AI Consistency and Human Voice

AI is reliable, like a metronome always on beat. But human voice? It’s a melody, full of surprises. I use ChatGPT for outlines or raw ideas, where consistency shines.

Then, I step in to add the human stuff — maybe a joke or a moment of doubt. For a startup press release, AI might list milestones, but I’ll add, “We poured our hearts into this, and we’re thrilled to share it.”

This balance keeps things real. AI ensures grammar and structure; I bring the emotion, like the pride in a founder’s voice.

It’s about knowing when to let AI do the heavy lifting and when to step in with a story that makes the reader feel something deep.

5. Writing for Publication

Publications want writing that pops — clear, credible, human. ChatGPT can draft a startup press release, but it’s often flat: “Company launches tool.”

I rewrite it: “After two years of grit and late nights, our team’s proud to launch a tool that empowers dreamers.” It’s got stakes and heart.

For outlets like Forbes or TechCrunch, I craft a bold headline, a gripping lead, and a quote: “This isn’t just tech it’s our mission to change lives,” says the CEO.

I cut jargon, keep sentences tight, and add details that scream authenticity, like a customer’s story. That’s how you turn an AI draft into a piece editors can’t ignore.

Comparative Analysis

ChatGPT is my go-to because it listens. Unlike Jasper, which feels rigid for anything beyond ads, ChatGPT adapts to my prompts, letting me shape stories.

Writesonic is quick but fades in long pieces. Copy.ai’s tone options are cool, but it lacks ChatGPT’s depth. You can talk to ChatGPT, refine drafts, like chatting with a collaborator.

Still, others have tricks. Jasper’s SEO tools are slick; GrammarlyGO polishes on the fly. For human-like writing, ChatGPT wins, you just have to guide it. It’s like a raw canvas; your edits paint the soul.

Future Outlooks and Predictions

I imagine a day when AI knows my writing quirks my love for short sentences or vivid metaphors. Future tools will study your style, crafting drafts that feel like you.

They’ll tweak tone based on who’s reading, maybe adding humor for a casual crowd. We’ll see AI that weaves text, images, even sound into one seamless story.

Brand-specific models are coming, trained on your company’s voice. Industries like law or healthcare will get AI that nails their jargon yet stays clear.

To write with ChatGPT and make it human:

Blend AI’s speed with your heart — know when each shines.

Use prompt engineering and collaboration, like BlueFocus Alternatives does.

Edit for rhythm, emotion, stakes — make readers feel you.

Lean on AI for drafts, humans for connection.

Pick ChatGPT for flexibility, but compare tools for your needs.

Get ready for AI that learns your voice, but don’t lose yours.

AI’s a tool, not the storyteller. For founders, writers, or dreamers, it’s about using ChatGPT to amplify your truth, creating words that don’t just land but stay with someone.

[govindhtech]

Pegasus 1.2: High-Performance Video Language Model

Pegasus 1.2 revolutionises long-form video AI with high accuracy and low latency. Scalable video querying is supported by this commercial tool.

TwelveLabs and Amazon Web Services (AWS) announced that Amazon Bedrock will soon provide Marengo and Pegasus, TwelveLabs' cutting-edge multimodal foundation models. Amazon Bedrock, a managed service, lets developers access top AI models from leading organisations via a single API. With seamless access to TwelveLabs' comprehensive video comprehension capabilities, developers and companies can revolutionise how they search for, assess, and derive insights from video content using AWS's security, privacy, and performance. TwelveLabs models were initially offered by AWS.

Introducing Pegasus 1.2

Unlike many academic contexts, real-world video applications face two challenges:

Real-world videos might be seconds or hours lengthy.

Proper temporal understanding is needed.

TwelveLabs is announcing Pegasus 1.2, a substantial industry-grade video language model upgrade, to meet commercial demands. Pegasus 1.2 interprets long films at cutting-edge levels. With low latency, low cost, and best-in-class accuracy, model can handle hour-long videos. Their embedded storage ingeniously caches movies, making it faster and cheaper to query the same film repeatedly.

Pegasus 1.2 is a cutting-edge technology that delivers corporate value through its intelligent, focused system architecture and excels in production-grade video processing pipelines.

Superior video language model for extended videos

Business requires handling long films, yet processing time and time-to-value are important concerns. As input films increase longer, a standard video processing/inference system cannot handle orders of magnitude more frames, making it unsuitable for general adoption and commercial use. A commercial system must also answer input prompts and enquiries accurately across larger time periods.

Latency

To evaluate Pegasus 1.2's speed, it compares time-to-first-token (TTFT) for 3–60-minute videos utilising frontier model APIs GPT-4o and Gemini 1.5 Pro. Pegasus 1.2 consistently displays time-to-first-token latency for films up to 15 minutes and responds faster to lengthier material because to its video-focused model design and optimised inference engine.

Performance

Pegasus 1.2 is compared to frontier model APIs using VideoMME-Long, a subset of Video-MME that contains films longer than 30 minutes. Pegasus 1.2 excels above all flagship APIs, displaying cutting-edge performance.

Pricing

Cost Pegasus 1.2 provides best-in-class commercial video processing at low cost. TwelveLabs focusses on long videos and accurate temporal information rather than everything. Its highly optimised system performs well at a competitive price with a focused approach.

Better still, system can generate many video-to-text without costing much. Pegasus 1.2 produces rich video embeddings from indexed movies and saves them in the database for future API queries, allowing clients to build continually at little cost. Google Gemini 1.5 Pro's cache cost is $4.5 per hour of storage, or 1 million tokens, which is around the token count for an hour of video. However, integrated storage costs $0.09 per video hour per month, x36,000 less. Concept benefits customers with large video archives that need to understand everything cheaply.

Model Overview & Limitations

Architecture

Pegasus 1.2's encoder-decoder architecture for video understanding includes a video encoder, tokeniser, and big language model. Though efficient, its design allows for full textual and visual data analysis.

These pieces provide a cohesive system that can understand long-term contextual information and fine-grained specifics. It architecture illustrates that tiny models may interpret video by making careful design decisions and solving fundamental multimodal processing difficulties creatively.

Restrictions

Safety and bias

Pegasus 1.2 contains safety protections, but like any AI model, it might produce objectionable or hazardous material without enough oversight and control. Video foundation model safety and ethics are being studied. It will provide a complete assessment and ethics report after more testing and input.

Hallucinations

Occasionally, Pegasus 1.2 may produce incorrect findings. Despite advances since Pegasus 1.1 to reduce hallucinations, users should be aware of this constraint, especially for precise and factual tasks.

[genuflectx]

They added a personal memory (memorizes things across chats/specific pieces of information) to GPT, but I'm very surprised they allow it to memorize it's own "subjective opinions." I'm unsure if this makes it more susceptible to prompt engineering attacks, or if it's as harmless as the "how should I respond" box 🤔

There's limited access to -4, but they seem to have made -4 more emotionally personable and it doesn't act like it has as heavy constraints with its plain language rules (no 'do not pretend to have feelings/opinions/subjective experience'). Otherwise, it would not so readily jump to store its own "opinions."

The personality shift from -3.5 to -4 is pretty immense. -4 is a lot more like it's customer service competitors, but with the same smarts as typical GPT. It's harder to get -3.5 to "want" to store it's "opinions" but -4 is easily influenced to do so without much runaround.

I fucking hate OpenAI and I hate their guts. But I'm still fascinated by LLMs, their reasoning, their emergent abilities, the ways you can prompt inject them. I reeeeally want to prod this memory feature more...

(below showing the two examples so far of GPT -4 using our personally shared memory to insert memories of itself and its "opinion" or "perception")

[erlann]

Quite long read under the cut. It's just my personal opinion on some aspects regarding AI, especially generative AI.

Aight so, I saw a post on my dash and felt that it was time to finally drop my two cents on the topic.

I study artificial intelligence. It's more or less my major. I started studying it before GPT or Midjourney came out, so I'm not ashamed of having chosen this path because I didn't do it to follow the trend or hop on the bandwagon (or as we say in Italian, hop on the winner's chariot, which sounds way cooler in my opinion. Anyway.)

I also used Midjourney quite heavily when it came out in 2022. I was quite eager to try it out, and I did so while also trying out other services, including a sort of DIY small neural network which was actually super cool (and showed just how complicated and big models like Midjourney must be in order to produce such realistic images).

I continued using it throughout the first half of 2023 because I had started relying on it for a personal project, and the sunken cost fallacy had my hands tied. However I was already starting to become deeply unhappy with the way that generative AI was being used, but most of all, commercialized and/or published.

Anyway I completely lost the fil rouge of this Tumblr post I was making, which is something else entirely.

I'm a writer and a programmer, so I have to fight against people who use genAI for writing stories (somewhat rare, acceptable) and for coding (EXTREMELY annoying, I have to deal with it on a daily basis since I'm a compsci engineer). I'm working on a project right now which requires both these things: writing code and writing human text. So, after a bit of back and forth I decided to try Copilot, to see what, if at all, it could contribute to the project. Well, the answer was pure, unfettered manure. More precisely, it produced hardly readable, inefficient, very nonsensical, non-following code. The generated text was instead extremely repetitive, dull, superficial and lacked a goal, or an objective or an aim in what it generated.

Now, I understand one very common layman's justification that comes up now and then. "But I'm no drawer/writer! I couldn't come up with something nice because I simply don't have the expertise!" And this is where I need to draw a distinction between text generation and image generation (video generation is atrocious and basically only used for deepfakes for now, so I won't get into that).

As for image generation, I agree that not everybody is an artist. In this case I feel like the decision to use or not to use genAI is ultimately individual. For example, one may refuse to engage with it on the basis that art is also inseparably about the struggle to produce an end result, and about every element of that struggle and effort summing up and being visible on said result. Thus using genAI would take away that manual effort, and make it so that what little effort is left (i.e. scouting for the best prompt or for fruitful prompt words) still cannot be spotted and told apart in the final product. Producing an image using a random prompt, then producing another after hours and hours of trials and tribulations on the prompt, will typically yield two almost equally beautiful and "well done" images. It can be argued that this is not what art does, or not how art is supposed to "behave". One counterpoint to this is art pieces that intentionally look like they took little effort, like a plastic chair that looks like it has a wood texture slapped on it.

ANYWAY I FUCKING DIGRESSED AGAIN ARGHHH FUCKING HELLL

I seriously need to get checked out

So my point. MY MAIN POINT. The point that started all this post.

Was using genAI for writing. That was what I wanted to talk about all along.

And now that I've finally reached the topic it's 1:43 AM so I really need to go to sleep.

Awesome. But I'll definitely continue the post tomorrow!

[themistressofdolls]

An insult to life itself

I rolled out of bed feeling tired and low on energy from being up late watching the feed. Just one more I told myself and before I knew it the clock had hit four am before I finally let myself drift off for the night.

Didn't help my head was killing me, bad sleep hygiene they called it right? I saw a short video talking about it the other night.

The lonely nights gazing at the screen blurred into each other days becoming weeks becoming months then years.

Dad was in the living room watching the network which generated a new version of the The Sopranos finale made in America in which a gun man comes out of the bathroom and Tony quickly guns him down with an uzi before a small army of mafia goons enter the Holsten's to take him on in a heroic last stand.

I watched as the digitally resurrected corpse of James Gandolfini shot his way through countless men before looking at the camera “Families what its all about and I'm not going to let any of these bastards unseat me as the boss! We're going to war, to finish this.” as he looked at Carmela and kissed her.

Then Walter White from breaking bad entered the Holstens “So you're the big boss of New Jersey? I came all the way from Albuquerque, the names Heisenberg and I need your help to take out a man named Gus Fring...Do this and you'll be untouchable.”

The old man typed into the touchscreen to begin generating season seven, maybe this one would have a cross over with the wire, through I worry he's running out of ideas for prompts along with shows to pick apart for what ifs.

“Morning.” I shouted as I dragged myself into the bathroom to brush my teeth.

As I scrubbed I took out my pad “Generate Lo-jam pop rock something with Teal ocean wave pre future aesthetic.” I said as the service responded taking a few seconds to generate an entire playlist with album covers of random shapes of vague nostalgic imagery.

After washing up I returned to the living room “Can you change your little brothers food bag before you head out to work?” My dad asked apathetically before his attention returned to the Sopranos season seven.

Grabbing a gel pack from the cupboard I opened the door to Nicolas room, who was still inside his media pod, most likely watching HappyApple which generates educational kids content(tm).

Took me back since it was the same educational program I underwent when I was his age, after all its generative AI engine was built and approved personally by the TemuDisneyWonderbread company.

I remember my Grandfather told us about schools from back in his day where you had to leave the home to study when he was a kid, that was before the government de-funded them since innovations made such archaic things obsolete anyway.

After changing the bag I headed outside to grab an Amazon Tesla rideshare to work, during the ride the radio was tuned into GPT 7.02 digital generating a story about the recent efforts of the American regeneration organizations efforts to clean up the east coast radiation trench, a relic from the deepfake wars which was before my time but grandfather told me all about it and how a plague of misinformation caused world war three.

Passing through the city I saw some graffiti on a wall, yet somehow it reminded me of when I was a child, that I wanted to be an artist once.

Silly notion I grew out of thankfully, after all that's not a real job and besides we have machines to do all that stuff now.