#GPT AI-Image-1

[govindhtech]

GPT-Image-1 API from OpenAI Generates High-Quality Images

The API's latest image creation model, GPT-Image-1

OpenAI introduced photo creation to ChatGPT last month, making it a hit. The first week saw almost 700 million photographs created by 130 million people worldwide⁠.

OpenAI exposed the natively multimodal model that powers ChatGPT to the API today with gpt-image-1, making it easy for developers and organisations to integrate professional-quality picture output into their products and platforms. The model's versatility allows it to make images in many styles, follow criteria, use its surroundings knowledge, and show text properly, opening up a broad range of beneficial applications.

Top firms and startups in creative tools, e-commerce, education, corporate software, and gaming leverage image creation in goods and experiences.

OpenAI is also working with developers and enterprises to uncover alternative ways that API-created images might serve particular use cases, such as:

Canva is studying ways to integrate OpenAI's gpt-image-1 into its AI and Magic Studio products to improve design creation and customisation. With gpt-image-1, Canva's 230 million users can realise their ideas in new ways by making high-fidelity visual modifications and turning rough sketches into gorgeous graphic components.

Logo creation and editing: GoDaddy is experimenting image generation to make it easy to generate editable logos, remove backgrounds, and create professional typography. As a new experience with GoDaddy Airo, the team is helping customers create marketing materials and social media posts that reflect their brand identities for original brand and product content based on prompts.

HubSpot is examining how clients might leverage OpenAI's freshly revealed AI picture producing capabilities to create marketing and sales content. As HubSpot adds new AI-powered capabilities for growing organisations, these photo producing features may change how customers produce great photographs for social media, email marketing, and landing pages without design skills.

Making shopping lists and recipes: Instacart is testing new API methods to create photographs for shopping lists and recipes.

Invideo's AI helps millions of individuals edit their ideas into videos. Since gpt-image-1 was added, the platform offers better text production, fine-grain editing, and style assistance.

Security

The API's gpt-image-1 model uses the same security features as ChatGPT's 4o picture production, including C2PA information and preventing harmful shots. See the prior blog post for further details. Developers can modify moderation sensitivity with moderation. In low mode, it filters less strictly than in auto mode (default).

OpenAI never trains on client API data by default, and API use standards apply to all visual inputs and outputs.

Pricing

Text and picture tokens have different gpt-image-1 costs:

$5 per million prompt text input tokens

$10 for 1 million photo input tokens

Image production tokens: $40 per million.

This amounts to $0.02, $0.07, and $0.19 per square image for low-, medium-, and high-quality images.

Get started

The Responses API will soon support the gpt-image-1 model, available internationally through the Images API. Some developers may need to verify their organisation before utilising the model.

Start with the picture producing lesson and tinker with the model.

Microsoft Azure is happy to provide GPT-image-1, the latest and most advanced picture generating model, to qualifying customers on Microsoft Azure OpenAI Service. This unique model improves photo quality, cue response, and zero-shot capabilities in many settings.

[howly]

live footage of me telling AI my twilight opinions so it can remember them and push them to other ppl

[morlock-holmes]

What objections would you actually accept to AI?

Roughly in order of urgency, at least in my opinion:

Problem 1: Curation

The large tech monopolies have essentially abandoned curation and are raking in the dough by monetizing the process of showing you crap you don't want.

The YouTube content farm; the Steam asset flip; SEO spam; drop-shipped crap on Etsy and Amazon.

AI makes these pernicious, user hostile practices even easier.

Problem 2: Economic disruption

This has a bunch of aspects, but key to me is that *all* automation threatens people who have built a living on doing work. If previously difficult, high skill work suddenly becomes low skill, this is economically threatening to the high skill workers. Key to me is that this is true of *all* work, independent of whether the work is drudgery or deeply fulfilling. Go automate an Amazon fulfillment center and the employees will not be thanking you.

There's also just the general threat of existing relationships not accounting for AI, in terms of, like, residuals or whatever.

Problem 3: Opacity

Basically all these AI products are extremely opaque. The companies building them are not at all transparent about the source of their data, how it is used, or how their tools work. Because they view the tools as things they own whose outputs reflect on their company, they mess with the outputs in order to attempt to ensure that the outputs don't reflect badly on their company.

These processes are opaque and not communicated clearly or accurately to end users; in fact, because AI text tools hallucinate, they will happily give you *fake* error messages if you ask why they returned an error.

There's been allegations that Mid journey and Open AI don't comply with European data protection laws, as well.

There is something that does bother me, too, about the use of big data as a profit center. I don't think it's a copyright or theft issue, but it is a fact that these companies are using public data to make a lot of money while being extremely closed off about how exactly they do that. I'm not a huge fan of the closed source model for this stuff when it is so heavily dependent on public data.

Problem 4: Environmental maybe? Related to problem 3, it's just not too clear what kind of impact all this AI stuff is having in terms of power costs. Honestly it all kind of does something, so I'm not hugely concerned, but I do kind of privately think that in the not too distant future a lot of these companies will stop spending money on enormous server farms just so that internet randos can try to get Chat-GPT to write porn.

Problem 5: They kind of don't work

Text programs frequently make stuff up. Actually, a friend pointed out to me that, in pulp scifi, robots will often say something like, "There is an 80% chance the guards will spot you!"

If you point one of those AI assistants at something, and ask them what it is, a lot of times they just confidently say the wrong thing. This same friend pointed out that, under the hood, the image recognition software is working with probabilities. But I saw lots of videos of the Rabbit AI assistant thing confidently being completely wrong about what it was looking at.

Chat-GPT hallucinates. Image generators are unable to consistently produce the same character and it's actually pretty difficult and unintuitive to produce a specific image, rather than a generic one.

This may be fixed in the near future or it might not, I have no idea.

Problem 6: Kinetic sameness.

One of the subtle changes of the last century is that more and more of what we do in life is look at a screen, while either sitting or standing, and making a series of small hand gestures. The process of writing, of producing an image, of getting from place to place are converging on a single physical act. As Marshall Macluhan pointed out, driving a car is very similar to watching TV, and making a movie is now very similar, as a set of physical movements, to watching one.

There is something vaguely unsatisfying about this.

Related, perhaps only in the sense of being extremely vague, is a sense that we may soon be mediating all, or at least many, of our conversations through AI tools. Have it punch up that email when you're too tired to write clearly. There is something I find disturbing about the idea of communication being constantly edited and punched up by a series of unrelated middlemen, *especially* in the current climate, where said middlemen are large impersonal monopolies who are dedicated to opaque, user hostile practices.

Given all of the above, it is baffling and sometimes infuriating to me that the two most popular arguments against AI boil down to "Transformative works are theft and we need to restrict fair use even more!" and "It's bad to use technology to make art, technology is only for boring things!"

[sevinagreatergood]

I want to talk about the comment whose name is too long. That motherfucker. Before anyone goes for my head. I said that Snape built the marauders fandom.

For context, it was a TikTok about 3 fandoms within the Harry Potter one. Which are:

- harry potter itself aka golden trio

- marauders era

- Slytherin boys

To which I posted a comment on the TikTok.

[@Harry Potter Fan:

HP is canon

Marauders is fanon but act like canon and are filled with snaters yet somehow they refuse to believe that Snape basically built that fandom

Slytherin gang is just pure thirst]

I'm not lying. I just know that. Then this person said:

[@ChuuyasSlvttyWaistfanclub 👁🚦:Snape built the fandom??? Do he didn't, the fandom was built off of wolfstar]

Since then I've gone into a deep research on fanfiction.net, ao3 and archive.org

Imagine my bitter surprise when I saw more wolfstar fanfics in the 2000's than snupin. So I did some deeper research into this. I spent about my whole morning on this. All I got were reddit bs from the marauders fandom taking a crap and whatnot. Believe me, I used Google. Couldn't find a thing.

So I turned to look at chatgpt. I now more about the history of websites than I intended. Many of the fanfictions date don't even check out. There is litterally a wolfstar fanfic on ao3 that was made in 1950, it also has jegulus and indian James (that was basically booming last year). Many fanfics there are also dated back to 2002 and 2001, meanwhile ao3 exists in 2008.

(also, no hate to the author's that mixed up the dates. Maybe they thought the date was meant as a setting in which time period their story plays at, I also saw one of 1984.)

So I found it unreliable to search based on fanfictions when authors could change the dates. Then I turned to livejournal as chatgpt offered. That is a hot mess. Maybe it's because I am new but I have no idea how that works. So I landed on 2 answers.

Answer 1: wolfstar and snupin equally gained the same popularity. So neither snupin nor wolfstar began first or built the fandom.

Answer 2: according to chatgpt. It was snupin that raged with it's popularity between 2003 and 207. The pictures posted below, explain it well. But in short. Snupin was popular on other platforms that many fans do NOT use anymore nowadays. After 2010, ships excluding Snape like jily and wolfstar then many many more took the wheel and veered that maraudersfandom into the hotpot we know as today. The fandom that excuses death eaters, but not Snape.

That was the cause of ao3 and Tumblr. I believe even the wolfstar fanfics of back then we're more likeable and nicer than the ones we have today where they yank out all character traits of the characters and call it a day.

I hope this helps. So you either settle with snupin or nothing, your choice really. 😂. So fuck that comment with a too long name. I choose snupin.

Also, believe me when I say, I truly did try to search for other methods. I spent my entire morning on getting to the bottom of this but there simply were no other leads left. So as a measure against AI favoritism. I will borrow another phone, of my sister who is not a maraudersfan at all, and my mom's phone who doesn't even know what a harry potter is. Then go to chat gpt, type in the same question and see those answers.

Now, as promised, I checked on multiple sources to not base it on preference. My sister isn't even into harry Potter a lot, but into lord of the rings. About 5 years ago she was into the fandom but by then chat gpt doesn't exist. Fairly obvious she has no clue what marauders even is. This is what her chat gpt says:

This is the link to what my mom her chat gpt says:

[magicmarkerz]

hiya 🦌

aspen/jascha + he/she + 6teen + bisexual boygirl

disclaimer: i use tumblr like my own personal diary. this isnt an exaggeration. u have been warned.

more about me under the cut !

i post + reblog: severance, house md, hannibal, mamma mia 1 & 2, i saw the tv glow, fight club, june henry, deer, star trek: the next generation, the hitchhiker's guide to the galaxy

italicized = more frequent :3c

1/2 of @house-md-imagines !!!

find me on twitter or airbuds or letterboxd

i seriously hate character ai + chat gpt + ai art

if u want me to unfollow u let me know or block me i gen won't mind 👍 if i do something awful Um let me know so i can do better. im /srs.

I LUV MY MUTUALS!!!!!!!!!!!!!!!!!!!!!!!!!

daily click

im bad at reaching out, but if you wanna talk to me don't b shy!!! i don't bite!!! mutuals can ask 4 discord :-)

collect my images 👇

[xublimetech]

The Future of AI: What’s Next in Machine Learning and Deep Learning?

Artificial Intelligence (AI) has rapidly evolved over the past decade, transforming industries and redefining the way businesses operate. With machine learning and deep learning at the core of AI advancements, the future holds groundbreaking innovations that will further revolutionize technology. As machine learning and deep learning continue to advance, they will unlock new opportunities across various industries, from healthcare and finance to cybersecurity and automation. In this blog, we explore the upcoming trends and what lies ahead in the world of machine learning and deep learning.

1. Advancements in Explainable AI (XAI)

As AI models become more complex, understanding their decision-making process remains a challenge. Explainable AI (XAI) aims to make machine learning and deep learning models more transparent and interpretable. Businesses and regulators are pushing for AI systems that provide clear justifications for their outputs, ensuring ethical AI adoption across industries. The growing demand for fairness and accountability in AI-driven decisions is accelerating research into interpretable AI, helping users trust and effectively utilize AI-powered tools.

2. AI-Powered Automation in IT and Business Processes

AI-driven automation is set to revolutionize business operations by minimizing human intervention. Machine learning and deep learning algorithms can predict and automate tasks in various sectors, from IT infrastructure management to customer service and finance. This shift will increase efficiency, reduce costs, and improve decision-making. Businesses that adopt AI-powered automation will gain a competitive advantage by streamlining workflows and enhancing productivity through machine learning and deep learning capabilities.

3. Neural Network Enhancements and Next-Gen Deep Learning Models

Deep learning models are becoming more sophisticated, with innovations like transformer models (e.g., GPT-4, BERT) pushing the boundaries of natural language processing (NLP). The next wave of machine learning and deep learning will focus on improving efficiency, reducing computation costs, and enhancing real-time AI applications. Advancements in neural networks will also lead to better image and speech recognition systems, making AI more accessible and functional in everyday life.

4. AI in Edge Computing for Faster and Smarter Processing

With the rise of IoT and real-time processing needs, AI is shifting toward edge computing. This allows machine learning and deep learning models to process data locally, reducing latency and dependency on cloud services. Industries like healthcare, autonomous vehicles, and smart cities will greatly benefit from edge AI integration. The fusion of edge computing with machine learning and deep learning will enable faster decision-making and improved efficiency in critical applications like medical diagnostics and predictive maintenance.

5. Ethical AI and Bias Mitigation

AI systems are prone to biases due to data limitations and model training inefficiencies. The future of machine learning and deep learning will prioritize ethical AI frameworks to mitigate bias and ensure fairness. Companies and researchers are working towards AI models that are more inclusive and free from discriminatory outputs. Ethical AI development will involve strategies like diverse dataset curation, bias auditing, and transparent AI decision-making processes to build trust in AI-powered systems.

6. Quantum AI: The Next Frontier

Quantum computing is set to revolutionize AI by enabling faster and more powerful computations. Quantum AI will significantly accelerate machine learning and deep learning processes, optimizing complex problem-solving and large-scale simulations beyond the capabilities of classical computing. As quantum AI continues to evolve, it will open new doors for solving problems that were previously considered unsolvable due to computational constraints.

7. AI-Generated Content and Creative Applications

From AI-generated art and music to automated content creation, AI is making strides in the creative industry. Generative AI models like DALL-E and ChatGPT are paving the way for more sophisticated and human-like AI creativity. The future of machine learning and deep learning will push the boundaries of AI-driven content creation, enabling businesses to leverage AI for personalized marketing, video editing, and even storytelling.

8. AI in Cybersecurity: Real-Time Threat Detection

As cyber threats evolve, AI-powered cybersecurity solutions are becoming essential. Machine learning and deep learning models can analyze and predict security vulnerabilities, detecting threats in real time. The future of AI in cybersecurity lies in its ability to autonomously defend against sophisticated cyberattacks. AI-powered security systems will continuously learn from emerging threats, adapting and strengthening defense mechanisms to ensure data privacy and protection.

9. The Role of AI in Personalized Healthcare

One of the most impactful applications of machine learning and deep learning is in healthcare. AI-driven diagnostics, predictive analytics, and drug discovery are transforming patient care. AI models can analyze medical images, detect anomalies, and provide early disease detection, improving treatment outcomes. The integration of machine learning and deep learning in healthcare will enable personalized treatment plans and faster drug development, ultimately saving lives.

10. AI and the Future of Autonomous Systems

From self-driving cars to intelligent robotics, machine learning and deep learning are at the forefront of autonomous technology. The evolution of AI-powered autonomous systems will improve safety, efficiency, and decision-making capabilities. As AI continues to advance, we can expect self-learning robots, smarter logistics systems, and fully automated industrial processes that enhance productivity across various domains.

Conclusion

The future of AI, machine learning and deep learning is brimming with possibilities. From enhancing automation to enabling ethical and explainable AI, the next phase of AI development will drive unprecedented innovation. Businesses and tech leaders must stay ahead of these trends to leverage AI's full potential. With continued advancements in machine learning and deep learning, AI will become more intelligent, efficient, and accessible, shaping the digital world like never before.

Are you ready for the AI-driven future? Stay updated with the latest AI trends and explore how these advancements can shape your business!

[exileandtrust]

Do you use AI?

I do not.

Furthermore, I actually did spend time studying both generative AI models and machine learning in college so I had some foundation for this before it really hit the mainstream. Machine learning (statistics)? Useful actually, good for finding statistical patterns humans otherwise would not find. Also good for pattern recognition in images, such as examining cancerous patterns in CT-scans. It supplements human abilities but does not usurp them. Do note that some people use these terms interchangeably without knowing their meanings, make sure to understand the particular application someone is talking about before condemning it.

Generative AI (graph theory)? 1 billion times more silly and stupid than people realize. I have unfortunately had the privilege of explaining how something like chat GPT was made and functions to high level professional engineers who had not had the chance to study it and had to hear them go, '...that's it? surely there's something more-' 'no, this is really all it is doing.' 'really?' 'yes. really.'

The twelve thousand foot explanation is this: Chat GPT was likely created by taking a training set of nearly the entire clear net, likely the common crawl dataset, then creating correlations between frequently occurring three to four character strings (called tokens). So if my input is, 'how many states are in the united states?' and it happens to get that right, it's because the tokenization of my question returned the average token response of 'there are fifty states in the united states of America' (etc. usually chat gippity inserts a lot more 'polite' boilerplate in it's answers). It has no understanding, it doesn't even understand what individual words mean. It's all about frequency. Kyle Hill actually has a good video explaining this.

It's also worth noting that because the generative AI model cannot be 'programmed' or 'modified' after creation, moderation AI is used on the user request side and the AI response side to keep everything appropriate. So the flow looks like this:

User request -> moderation AI -> (if passes) send request to GPT model -> moderation AI to check output -> return appropriate output to user. (Source: chat gpt-4 system card, see section 4.1)

This moderation AI or filtering is how they do things like tell chat gpt to stop returning heinous lies about an individual, they simply told the filter 'reject inquiries with this individual's name' because there is no way to actually remove this from the GPT model itself. No one is able to pinpoint individual connections between tokens, so moderation must be on input and output.

The moderation model used here was likely what is called 'supervised' or 'labelled' learning, which means that some poor souls had to read an enormous corpus of inappropriate text and label it accordingly to help create a moderation AI.

There's a lot (LOT) more I could say but this post is getting long. I'm also not an 'expert' in this field, I just like to stay informed because of my technical role.

Basically, AI is unethical all the way down. Not to pick on open AI specifically, but this is how all the sausages get made in one way or another.

On a non technical note, my advice is this: Do not put yourself in a position to depend on generative AI for anything. It is the quickest way to atrophy your brain and your critical thinking and creative abilities. Reject it at every turn and do not take seriously any person who uses it for any professional or creative capacity. Wish them well, but don't take their advice.

[sigynpenniman]

I have 10,000 words to say about AI and they’re not necessarily all in alignment with popular opinion but the short version is that for all of the criticisms of AI that there are I feel like I don’t see near enough people point out the thing that I am seeing as the #1 problem so far in the usefulness and framing of AI generated content and the way it’s being applied in the commercial, professional, and educational worlds which is that IT IS NOT REAL. If you ask the AI to generate an image of “an 1800s factory” to show as an example for a class on the industrial revolution, it will give you an IMAGE OF A FACTORY THAT DOES NOT EXIST. And has NEVER BEEN REAL. I for real heard a man say “oh you can use chat GPT to talk to Einstein!!” No you cannot! You can use chatgpt to talk to what a robot imagines Einstein was like! This is at best vaguely interesting and at worst completely false and meaningless. The impression the AI has of a real thing has no meaning or bearing on anything real, historical or extant. AI generated whatever is *the dreams of a computer* and nothing more!!!

[creativmindful]

Deepseek vs Google Gemini vs ChatGPT: Which AI Brain Would You Pick? 🌟**

Hey, digital wanderers! Let’s talk about the three AI heavyweights currently vibing in the techosphere: *Deepseek, **Google Gemini, and **ChatGPT. They’re all brainy, but they’ve got *very different personalities. Let’s break it down like we’re judging a talent show (but for robots). 

---

### *1. Deepseek 🧠* 

*The Niche Genius* 

Born in China’s tech labs, Deepseek is like that friend who aces calculus and writes code in their sleep. It’s laser-focused on *technical tasks*—think data analysis, coding help, and hyper-accurate research. Need to debug Python at 3 AM? Deepseek’s your caffeine-free fix. 

*Strengths:* 

- *Code whisperer*: Fixes errors, writes scripts, and explains algorithms like a patient tutor. 

- *Data wizard*: Crunches numbers and spots trends faster than you can say “spreadsheet.” 

- *Minimal fluff*: Straightforward, no chit-chat (unless you beg). 

*Quirks:* 

- Not the best at creative writing or casual banter. 

- Still learning non-English languages. 

*Best for:* Developers, analysts, and anyone who dreams in binary. 

---

### *2. Google Gemini 🤖* 

*The Smooth Operator* 

Google’s answer to “What if AI could do… everything?” Gemini is the ultimate multitasker. It’s baked into Google’s ecosystem (Workspace, Search, etc.), so it feels like that one friend who’s weirdly good at organizing your life. Plus, it’s *multimodal—meaning it *sees, hears, and talks (yes, you can yell at it). 

*Strengths:* 

- *Ecosystem king*: Syncs with Google tools like Docs, Sheets, and your soul (just kidding… maybe). 

- *Multimedia maestro*: Analyzes images, videos, and audio. Show it a meme, and it’ll explain the joke. 

- *Safety first*: Google’s strict guardrails keep it PG-13 (no existential crises here). 

*Quirks:* 

- Can be overly cautious (avoids spicy opinions like a toddler avoids broccoli). 

- Still rolling out, so some features feel like a “coming soon” trailer. 

*Best for:* Google loyalists, students, and anyone who wants AI to handle their errands. 

---

### *3. ChatGPT 🎨* 

*The Creative Chaotic* 

The OG crowd-pleaser! ChatGPT is like that artsy friend who writes poetry, roleplays as a pirate, and occasionally makes up fake historical facts. With GPT-4 (and plugins!), it’s a Swiss Army knife of creativity and chaos. 

*Strengths:* 

- *Storyteller supreme*: Writes novels, jokes, and fanfic about sentient toasters. 

- *Customizable*: Plugins let it book flights, analyze PDFs, or teach you piano. 

- *Personality++*: Sassy, empathetic, or professional—you pick the vibe. 

*Quirks:* 

- Sometimes hallucinates (e.g., “Shakespeare definitely wrote Star Wars”). 

- Requires clever prompting to avoid rambling. 

*Best for:* Writers, curious minds, and anyone who wants AI with ✨rizz✨. 

---

### *So… Who Wins?* 

- *Need to code?* Deepseek. 

- *Living in Google-land?* Gemini. 

- *Want creativity + chaos?* ChatGPT. 

Or just rotate all three and feel like an AI CEO. 

*Poll time!* Which would you trust with your to-do list: 

🔵 Deepseek’s precision 

🟠 Gemini’s Google magic  🟢 ChatGPT’s chaotic charm 

*Visual vibe:* A doodle of three robots arm-wrestling on a laptop keyboard, with coffee cups labeled “CODE,” “SEARCH,” and “ART” spilling everywhere. 🌈✨

[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!

[doubleddenden]

Just for fun, I'm going to make an absolute WORST CASE scenario for Pokemon day (with sillies)

Pokemon decides to announce NFTs (they did put out a job listing for an NFT expert months ago)

Pokemon merch that's just more overpriced garbage. Shitty pastel tshirts that just have the pokemon logo stamped on the left breast area- $50, only goes to size XL.

Pokemon Go has way too much screen time for yet another Kanto fest

Pokemon Masters, Unite, and Cafe just won't end their trailers.

New tv show that's just a vague reality show about celebrities that liked Pokémon once, and it's more of an episodic celebrity biography show with one line or two about Pokémon. Not even fun ones, C tier at best. So, something like T@yl*r Sw*ft's boyfriend's football career, but one line about playing Blue for a few hours at his cousin's house.

Pokemon Home fees will increase

Pokemon Bank will close TODAY

Port of Red, Blue, Gold, Silver, Ruby, and Sapphire to NSO- you have to pay for online to access it over cloud- internet connection required, and for some reason you have to pay extra for them in a Pokémon exclusive expansion pass. No word of third versions. Does not include the events or Japan exclusives.

Black and White 1 remakes announced. It's chibi like BDSP, colors are dry and washed out, there's graphical errors in the trailer frames, they state BW2 specifically is not part of the remake, they promise tweaks to make the gameplay EASIER than ever. Parts of the game are made with AI and script rewritten by Chat GPT, with an error you spot easily in a trailer. Masuda has the remake game director's neck clenched tightly from the back. He looks at you and says "you will buy the games this time. This isn't a request." Japan pre-order exclusives are amazingly crafted Reshiram and Zekrom statues that even have light up tails and eyes, and also you get shiny versions of them only in the Japanese copies, US gets a cheap piece of paper with generic stock images of Pikachu and Charizard on it, everything is shiny locked for everywhere not Japan.

They tease a Legends game. You think it's going to be amazing, you think oh my god we're getting Legends Unova... wait, it looks Japanese, maybe LEGENDS CELEBI???...it's Legends......... KANTO, and it's the most gorgeous thing you've ever seen after the clear lack of care put into their non gen 1 games since the Switch launched. A selling point is, once again, no new Pokémon after the og 151 so older fans can enjoy it better. Your starters are Charmander, Charmander, and Charmander, you might encounter Bulbasaur and Squirtle in post game. Your job is to stop EEEVIL outsiders from the rest of the regions with their newer Pokémon from settling into Kanto. Johto is having an awesome party next door with all the regions invited, but there's been a convenient landslide blocking the only way over. It's just reskinned Let's Go Pikachu and Eevee. Professor Oak is your age and putting moves on your mom.

Features a mythical Pokémon based on depression that looks like a tiny salary man, comes with its own movie featuring Ash as a depressed Millenial realizing he peaked at 10. He has to get a job. Pikachu is dying of old age and Ash has to "grow up" and release him and all of his other still living Pokémon. It cuts to real life, and Pokémon was just a game he has been playing for years to cope with his parents' divorce and eventually his own with Misty, then May, then Dawn, then Serena, then Goh, etc. Ash's dad is finally revealed: it's Chris Pratt with bad cgi wrinkles, back with milk. They go to the arcade to play Mario to stomp on some................................................................................................................................................................................... KOOPAS.

"Well that's all. Oh wait, one more thing!"

Ed Sheeran and T@yl*r Sw*ft music video featuring 1 Pikachu in a frame that can be easily edited out, with a song not even about Pokémon. The song sounds like shit and is about another breakup.

There, the bar has been lowered to the floor. It cannot get worse.

[rajibperfection]

A Review on Merlin Lifetime deals.

It’s hard to believe AI tools help you work smarter when you’re still stuck switching between tabs to get things done. (“Just call me an AI assistant juggler.”)

With so many AI models and features on the market, you’re using way too much tech to research and generate different types of content.

What if there was a Chrome extension packed with all the AI models you need to speed up your research and content creation process?

Overview:

Merlin is a Chrome browser extension and web app that gives you access to popular AI models to research, summarize, and write content.

      Best for: 

Alternatives to:Integrations:Main Features:

Educators

Marketers

Small businesses

Copy.ai

Grammarly

Jasper

Facebook

Gmail

LinkedIn

Outlook

Twitter

GDPR-compliant

AI

Pros and cons:

Chat with leading AI models, from one browser

With Merlin, you’ll receive access to prominent AI models, like GPT-4, Claude-3, Gemini 1.5, Leonardo, and others—all from your Chrome web browser.

No more moving between browser tabs! Use Merlin’s AI Chatbot on every websites you visit.

Use complex image-generation models to develop captivating brand storylines.

Plans & features

Deal terms & conditions

Lifetime access to Merlin

All future Pro Plan updates

If Plan name changes, deal will be mapped to the new Plan name with all accompanying updates

No codes, no stacking—just choose the plan that’s right for you

You must activate your license within 60 days of purchase

Ability to upgrade between 3 license tiers while the deal is available

Ability to downgrade between 3 license tiers within 60 days of purchase

GDPR compliant

Available for new Merlin users and returning AppSumo purchasers

Previous AppSumo customers who purchased Merlin can upgrade their license to increase their feature limits

1 Merlin query = 1 Chat GPT 3.5 query

Find all other AI model Query Standards here

All purchasers subject to Merlin’s Terms & Conditions

60 day money-back guarantee. Try it out for 2 months to make sure it’s right for you!

Features included in all plans

Chat with documents

Image generation

Chatbots

Chat with web pages

YouTube summarization

Blog summarization

Twitter, Gmail, Outlook, and LinkedIn FAB bars

LinkedIn Pro connect

Create from YouTube

Post in YouTube comments

AI personas

[vophuocthien]

How ChatGPT Transforms Ideas into Memes

Do you want to learn how to create these popular memes? How can you turn a simple idea into a humorous image with catchy captions? This article reveals the secrets of AI meme magic, specifically how ChatGPT breathes life into memes.

ChatGPT: Discovering the Magic of Memes

ChatGPT, developed by OpenAI, is a wealth of knowledge. This AI marvel excels at digesting data and creating content with remarkable originality. Let's look at how this intelligent model creates humorous AI memes and transforms the technology environment.

1. Identifying Trends and Hot Topics

ChatGPT has massive amounts of global data, allowing it to scan publications, social media, and pop culture aspects. This keeps it up to speed on current trends, making it the ideal tool for creating topical and entertaining memes.

2. Creating Funny Icons and Captions

To make a viral meme, a funny image must be matched with a memorable caption. ChatGPT's capacity to recognize complexity, comedy, analogies, and sarcasm enables it to create captions that make memes memorable and engaging.

3. Mastering Wordplay

Meme comedy relies heavily on wordplay. ChatGPT excels at using puns and double entendres to transform basic words into popular catchphrases. Its language prowess boosts meme generation by employing sarcasm and metaphor to generate immediate laughter.

BUSAI: The ChatGPT-Powered Panda Meme Phenomenon

BUSAI is the internet's go-to destination for AI-powered panda memes. More than simply a cute bamboo-eating mascot, BUSAI exemplifies the capabilities of ChatGPT, one of the most advanced AI language models available.

1. BUSAI: More Than a Cute Panda Meme

BUSAI is not just another adorable panda meme. Its creative, cool appearance and financially knowledgeable demeanor captivate users, making it a popular among the memecoin community.

2. Personalization and Diversity Using GPT Technology

Using GPT technology increases BUSAI's expressive versatility, giving users a plethora of possibilities by creating its own distinct persona. The BUSAI team strives to tailor each user's experience while encouraging dynamic involvement within the BUSAI community.

Beyond its comedic content and GPT-powered memes, BUSAI stands at the forefront of a dynamic community, uniting memecoin enthusiasts and AI to drive innovation and creativity.

Source: Compiled

[tsreviews]

Opus Review: ChatGPT-4o App for Easy WarriorPlus Promotion

The Super-Sexy Funnel: 

Front End: Opus - $9.95

The New 2024 The World's First Auto Affiliate Link Promoter App

Upsell 1: Opus- Unlimited Edition - $147

THE WORLD'S 1ST And Only Miracle-Bot Powered By Google's A.I... & unlimited FREE Traffic and more. 

Upsell 2: Opus- DFY Setup Setup - $297

In this upgrade our team sets up the software for your customers.

Upsell 3: Opus- AutoPilot Edition - $39

Your customers will be able to activate all the automation tools within 

ONYX.

Upsell 4: Opus- 200 DFY Campaigns Edition - $39

Your customers will get 200 done-for-you proven money-making campaigns that have made us $50,000.

Upsell 5: Opus- Franchisee Edition - $197

Your customers will get bumped up to 85% across the entire funnel with additional tutorials on how to promote the funnel to make sales.

Key Features

One-Click Installation: Opus boasts a seamless installation process. With a single click, you can integrate it into your existing workflow without any technical hassle.

Auto-Promotion of WarriorPlus Affiliate Links: Opus’s standout feature is its ability to automatically promote WarriorPlus affiliate links. Imagine the convenience of having an AI assistant that effortlessly generates revenue for you.

Image Understanding: GPT-4o is much better at understanding and discussing images. Opus leverages this capability to enhance its responses when you share images.

>>>Get Opus Now

[digitalsoftwareproductreviews]

GPTReels Review : Pro Quality Video Reels for Any Business

What is GPTReels?

GPTReels is an AI-driven short video creator that streamlines the entire video production workflow. With GPTReels, you can create engaging video reels on full autopilot, without any manual intervention. Here’s how it works:

Input Your Topic: Simply provide a topic or keyword related to your business, product, or service.

Automated Story Creation: GPTReels generates a compelling story based on your input.

Captions and Images: It automatically creates captions and finds relevant images to match your story.

Complete Reel: GPTReels assembles all the elements into a polished video reel.

How Do GPTReels Work?

Creating a video with GPT Reels easy:

Step 1: Enter a keyword, text, or URL as input or select from templates

Step 2: Watch GPTReels generating Beautiful AI Images, Generating human-sounding Voice Overs, and Background Music and combining all of these to create Beautiful videos in vertical and horizontal Formats.

Step 3: Use these video reels as YouTube Shorts, Insta Reels, YouTube Videos, TikTok, or any other social media to get traffic in your business.

>>>Get Instant Access Now<<<

[thehorrortree]

Deadline: January 21st, 2024 Payment: $100 per story Theme: 500-1000 word speculative fiction stories Hello fellow writers and readers, this is Rebecca Halsey, the new publisher for Flash Fiction Online. We are coming into 2024 with a decently sized queue of literary stories and reprints. Therefore, for our January 2024 reading period, we will only be accepting original speculative fiction. We will consider fantasy, science fiction, horror, and all the fabulous cross-sub-genre goodness within that lot. As is our custom, we will be open until the 21st of the month unless the 425 submissions cap is reached. We look forward to reading your stories! SUBMISSION GUIDELINES We are looking for complete 500- to 1000-word stories with crisp prose, well-developed characters, compelling plots, and satisfying resolutions. We want stories that engage our minds and emotions. We publish across many genres, including speculative (science fiction, fantasy, slipstream, and horror) and literary fiction. For more information on the type of stories we enjoy, please read a few issues and check out our "What We're Looking For" page. Please note, that for January 2024, we will be accepting speculative fiction stories only. SUBMISSION WINDOW: We will be open to submissions on January 1st, and until January 21st, or until our 425 submission cap is reached, whichever comes first. FORMATTING: Please format your submission in a double-spaced, 12pt Times New Roman or other serif-type font (NO Courier), with standard 1" margins and black font on an unadorned, white background. No PDF submissions.  No Images and no graphics. ANONYMOUS SUBMISSIONS: Do not include your name, address, email, or other identifying information on your manuscript (header, byline, file name, etc). SIMULTANEOUS SUBMISSIONS: For the January 2024 reading period, we will accept simultaneous submissions. MULTIPLE SUBMISSIONS: You may submit only one original story to the January 2024 reading period. AI-GENERATED SUBMISSIONS: We are committed to publishing stories written and edited by humans. We reserve the right to reject any submission that we suspect to be primarily generated or created by language modeling software, Chat GPT, chat bots, or any other AI apps, bots, or software. We reserve the right to ban submissions from accounts, emails, or users who we believe or suspect have submitted AI-generated content. QUERIES: You can check on the status of your submission at any time via your Submittable account. If, after 8 weeks, your submission is still marked as "in-progress," you may email flashfictiononlineeditor@gmail.com with QUERY in the subject line for an update on its status. (Submissions sent to this address will be deleted unread.) COMPENSATION: Our 2024 rate is $100 for each original story. We are unable to provide personal feedback or critiques. We do NOT accept resubmissions of stories previously rejected by Flash Fiction Online, unless requested by the Editor. We will NOT consider stories that promote or affirm hatred, prejudice, or violence toward any group of people based on age, race, nationality, religion, sex, gender, political affiliation, disability, neurodiversity, or other social identity. Love what we publish? Flash Fiction Online is funded entirely through the generosity and support of our readers! Check out our Patreon here. Via: Flash Fiction ONline.