#convert AI-generated content

[tryslat]

Features of Our AI To Human Text Converter

However, not all AI-generated text is fit for human consumption without some level of refinement. That's where the AI To Human Text Converter comes in, a free tool that turns robotic-sounding AI content into natural, human-readable text. Let's dive into the key features that make this tool an indispensable resource for anyone looking to humanize AI-generated text effortlessly.

1. Simple and User-Friendly Interface

One of the standout features of our AI To Human Text Converter is its simple, user-friendly interface. Many people shy away from using complex tools that require a steep learning curve. Fortunately, this converter is designed with ease of use in mind. The interface is intuitive, allowing users to quickly navigate the platform and convert their AI-generated text into human-like content within seconds. There's no need to struggle with confusing menus or spend time learning how to use the tool.

2. Safe and Secure to Use

Safety is paramount when it comes to using online tools, especially for text conversion. AI To Human Text Converter ensures that users' data is protected through secure browsing measures. The website is well-secured, minimizing any risks of data breaches or security threats. Whether you're a content creator, student, or professional, you can confidently use the tool without worrying about jeopardizing your safety.

3. Accurate Conversion of AI-Generated Content to Human-Like Text

The primary feature of the AI To Human Text Converter is its ability to transform AI-generated content into human-readable text. Utilizing advanced algorithms, the tool analyzes the input and produces an output that closely mimics the natural flow of human writing. Whether you're converting AI content for essays, blog posts, or marketing materials, this tool ensures the end result is clear, engaging, and free of robotic phrasing.

4. No Limitations – Unlimited Usage

One of the most attractive features of the AI To Human Text Converter is its unlimited usage policy. Unlike other tools that impose restrictions or require subscriptions after a certain number of conversions, our tool is completely free with no limitations. You can convert as much content as you need, whenever you need it. This makes it an ideal solution for content creators, bloggers, and students with large volumes of AI-generated text to convert.

5. Fast and Efficient Processing

Time is a valuable commodity, and with our AI to human text converter, speed is a top priority. The tool processes your content in seconds, delivering humanized text quickly and efficiently. Whether you have a single paragraph or an entire document to convert, you can trust that the tool will provide results without delays.

6. No Authentication Needed

Another significant advantage of AI To Human Text Converter is that you don’t need to create an account, sign up, or log in. The tool is ready for immediate use, allowing you to convert text as soon as you arrive at the website. This no-authentication feature ensures a hassle-free experience, making it easy for users to get started right away.

Why Choose AI To Human Text Converter?

If you're looking for a reliable and efficient way to humanize your AI-generated content, AI To Human Text Converter is the perfect choice. Here are some key reasons why you should consider using this tool:

Free of Cost: Our tool is completely free to use, with no hidden fees or subscription costs.

Unlimited Use: Convert as much AI content as you need without worrying about restrictions.

No Login Required: Enjoy immediate access to the tool without needing to create an account.

Fast Conversion: Save time with near-instant results that transform AI text into human-like content.

User-Friendly: The intuitive interface makes it easy for anyone to use, even without prior experience.

The AI To Human Text Converter is packed with features that make it an excellent choice for anyone looking to convert AI-generated content into natural, human-readable text. Its simple interface, fast processing, and unlimited usage ensure that you get the best results without any hassle. Plus, with top-notch security measures in place, you can use the tool confidently and safely. Whether you’re a student, content creator, or professional, this tool is designed to meet all your text conversion needs.

Try the AI To Human Text Converter today and experience the difference for yourself!

[tempestmothstorm]

Thinking about this one guy justifying ai art with something like “go ahead and make your art but the bar is raised now” and it’s like buddy the bar is lowered now thanks to you

[technologyequality]

AI-Powered Email Templates That Write Themselves: Because You Have Better Things to Do

AI-Powered Email Templates That Write Themselves Because You Have Better Things to Do Ah, email, the necessary evil of modern business. If you’re anything like most entrepreneurs, you’ve spent way too much time staring at a blinking cursor, trying to craft the perfect subject line that won’t get ignored faster than a “Hey girl” DM from an old high school acquaintance selling essential oils. We…

[rosajs]

AI Creative Suite – Ultimate Creator’s Toolkit

AI Creative Suite – Ultimate Creator’s Toolkit

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Create Scripts, Shorts, VSL’s & Many Other Forms of High Converting Copy & Content

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[creature-wizard]

What an AI generated website can look like

Hey folks! I just encountered a website that's obviously AI generated, so I figured I'd use it as an example to help you spot websites that might be AI generated content farms!

First, the website is called faunafacts.com. And one of the first things that sticks out to me is how low-effort the logo is:

Regardless of whether a website is AI generated or not, a lazy and low-quality logo is a big clue that the website's content will also be lazy and low-quality.

If we click on Browse Animals, we see four options: Cows, Wolves, Bears, and Snakes.

Let's click Wolves.

The first thing I want you to notice is the lack of topical focus. Sure, it's all about wolves, but the content on them is all over the place. We have content on wolf hunting, a page on animals that resemble wolves, pages that explain the alleged social structure of wolves, and pages on wolf symbolism.

A website with content created by real people isn't going to be all over the place like this. It would be created with more of a focus in mind, like animal biology and behavior. The whole spiritual symbol thing here mixed with supposed biological and behavioral information is weird.

The next thing I want you to notice are the links to pages on topics that are quite frankly bizarre: "Wolf vs Mastiff: Things You Need To Know" and "Can You Ride A Wolf? (No, Because...)" Who is even looking for this kind of information in large enough numbers that it needs a dedicated page?

Then of course, there's the fact that they're repeating the debunked wolf hierarchy stuff, which anyone who actually knew anything about wolves at this point wouldn't post.

Now let's look at what's on one of the actual pages. We'll check out the wolves vs. mastiff page, and we can soon find a telltale sign of AI: rambling off topic to talk about something completely unrelated.

Both animals are carnivores. In the wild, wolves hunt large animals like bison, deer, and even elk. Sometimes, they may also hunt small mammals like the beaver.

Mastiffs, on the other hand, are mainly fed with dog food. As a dog, a mastiff left in the wild will eat anything. However, it will have difficulties hunting, as this instinct may have already departed the dogs of today.

A mastiff is not an obligate carnivore. Dogs can eat plant matter. Some say that dogs can survive on a vegetable diet.

Dogs being made vegetarians is a contentious issue. Scientifically, dogs belong to the order Carnivora. There is a movement today to convert dogs to a vegan diet. While science has nothing against it, the fear of many is that when dog owners do this, a vegan diet will certainly have an impact on the species.

This page is supposed to be comparing mastiffs with wolves, but then it starts talking about the vegan pet food movement. This happened because large language models generate text based on on what's statistically likely to follow the last text it just generated.

Finally, the website's images are AI generated:

If you know what to look for, this is a very obviously AI generated image. There's no graininess to the image, and the details are both unnaturally smooth and unnaturally crisp. It also has that high color saturation that many AI generated images have.

So there you go, this is one example of what an AI generated website can look like! Be careful out there!

[mostlysignssomeportents]

Pluralistic: Leaving Twitter had no effect on NPR's traffic

I'm coming to Minneapolis! This Sunday (Oct 15): Presenting The Internet Con at Moon Palace Books. Monday (Oct 16): Keynoting the 26th ACM Conference On Computer-Supported Cooperative Work and Social Computing.

Enshittification is the process by which a platform lures in and then captures end users (stage one), who serve as bait for business customers, who are also captured (stage two), whereupon the platform rug-pulls both groups and allocates all the value they generate and exchange to itself (stage three):

https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys

Enshittification isn't merely a form of rent-seeking – it is a uniquely digital phenomenon, because it relies on the inherent flexibility of digital systems. There are lots of intermediaries that want to extract surpluses from customers and suppliers – everyone from grocers to oil companies – but these can't be reconfigured in an eyeblink the that that purely digital services can.

A sleazy boss can hide their wage-theft with a bunch of confusing deductions to your paycheck. But when your boss is an app, it can engage in algorithmic wage discrimination, where your pay declines minutely every time you accept a job, but if you start to decline jobs, the app can raise the offer:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

I call this process "twiddling": tech platforms are equipped with a million knobs on their back-ends, and platform operators can endlessly twiddle those knobs, altering the business logic from moment to moment, turning the system into an endlessly shifting quagmire where neither users nor business customers can ever be sure whether they're getting a fair deal:

https://pluralistic.net/2023/02/19/twiddler/

Social media platforms are compulsive twiddlers. They use endless variation to lure in – and then lock in – publishers, with the goal of converting these standalone businesses into commodity suppliers who are dependent on the platform, who can then be charged rent to reach the users who asked to hear from them.

Facebook designed this playbook. First, it lured in end-users by promising them a good deal: "Unlike Myspace, which spies on you from asshole to appetite, Facebook is a privacy-respecting site that will never, ever spy on you. Simply sign up, tell us everyone who matters to you, and we'll populate a feed with everything they post for public consumption":

https://lawcat.berkeley.edu/record/1128876

The users came, and locked themselves in: when people gather in social spaces, they inadvertently take one another hostage. You joined Facebook because you liked the people who were there, then others joined because they liked you. Facebook can now make life worse for all of you without losing your business. You might hate Facebook, but you like each other, and the collective action problem of deciding when and whether to go, and where you should go next, is so difficult to overcome, that you all stay in a place that's getting progressively worse.

Once its users were locked in, Facebook turned to advertisers and said, "Remember when we told these rubes we'd never spy on them? It was a lie. We spy on them with every hour that God sends, and we'll sell you access to that data in the form of dirt-cheap targeted ads."

Then Facebook went to the publishers and said, "Remember when we told these suckers that we'd only show them the things they asked to see? Total lie. Post short excerpts from your content and links back to your websites and we'll nonconsensually cram them into the eyeballs of people who never asked to see them. It's a free, high-value traffic funnel for your own site, bringing monetizable users right to your door."

Now, Facebook had to find a way to lock in those publishers. To do this, it had to twiddle. By tiny increments, Facebook deprioritized publishers' content, forcing them to make their excerpts grew progressively longer. As with gig workers, the digital flexibility of Facebook gave it lots of leeway here. Some publishers sensed the excerpts they were being asked to post were a substitute for visiting their sites – and not an enticement – and drew down their posting to Facebook.

When that happened, Facebook could twiddle in the publisher's favor, giving them broader distribution for shorter excerpts, then, once the publisher returned to the platform, Facebook drew down their traffic unless they started posting longer pieces. Twiddling lets platforms play users and business-customers like a fish on a line, giving them slack when they fight, then reeling them in when they tire.

Once Facebook converted a publisher to a commodity supplier to the platform, it reeled the publishers in. First, it deprioritized publishers' posts when they had links back to the publisher's site (under the pretext of policing "clickbait" and "malicious links"). Then, it stopped showing publishers' content to their own subscribers, extorting them to pay to "boost" their posts in order to reach people who had explicitly asked to hear from them.

For users, this meant that their feeds were increasingly populated with payola-boosted content from advertisers and pay-to-play publishers who paid Facebook's Danegeld to reach them. A user will only spend so much time on Facebook, and every post that Facebook feeds that user from someone they want to hear from is a missed opportunity to show them a post from someone who'll pay to reach them.

Here, too, twiddling lets Facebook fine-tune its approach. If a user starts to wean themself off Facebook, the algorithm (TM) can put more content the user has asked to see in the feed. When the user's participation returns to higher levels, Facebook can draw down the share of desirable content again, replacing it with monetizable content. This is done minutely, behind the scenes, automatically, and quickly. In any shell game, the quickness of the hand deceives the eye.

This is the final stage of enshittification: withdrawing surpluses from end-users and business customers, leaving behind the minimum homeopathic quantum of value for each needed to keep them locked to the platform, generating value that can be extracted and diverted to platform shareholders.

But this is a brittle equilibrium to maintain. The difference between "God, I hate this place but I just can't leave it" and "Holy shit, this sucks, I'm outta here" is razor-thin. All it takes is one privacy scandal, one livestreamed mass-shooting, one whistleblower dump, and people bolt for the exits. This kicks off a death-spiral: as users and business customers leave, the platform's shareholders demand that they squeeze the remaining population harder to make up for the loss.

One reason this gambit worked so well is that it was a long con. Platform operators and their investors have been willing to throw away billions convincing end-users and business customers to lock themselves in until it was time for the pig-butchering to begin. They financed expensive forays into additional features and complementary products meant to increase user lock-in, raising the switching costs for users who were tempted to leave.

For example, Facebook's product manager for its "photos" product wrote to Mark Zuckerberg to lay out a strategy of enticing users into uploading valuable family photos to the platform in order to "make switching costs very high for users," who would have to throw away their precious memories as the price for leaving Facebook:

https://www.eff.org/deeplinks/2021/08/facebooks-secret-war-switching-costs

The platforms' patience paid off. Their slow ratchets operated so subtly that we barely noticed the squeeze, and when we did, they relaxed the pressure until we were lulled back into complacency. Long cons require a lot of prefrontal cortex, the executive function to exercise patience and restraint.

Which brings me to Elon Musk, a man who seems to have been born without a prefrontal cortex, who has repeatedly and publicly demonstrated that he lacks any restraint, patience or planning. Elon Musk's prefrontal cortical deficit resulted in his being forced to buy Twitter, and his every action since has betrayed an even graver inability to stop tripping over his own dick.

Where Zuckerberg played enshittification as a long game, Musk is bent on speedrunning it. He doesn't slice his users up with a subtle scalpel, he hacks away at them with a hatchet.

Musk inaugurated his reign by nonconsensually flipping every user to an algorithmic feed which was crammed with ads and posts from "verified" users whose blue ticks verified solely that they had $8 ($11 for iOS users). Where Facebook deployed substantial effort to enticing users who tired of eyeball-cramming feed decay by temporarily improving their feeds, Musk's Twitter actually overrode users' choice to switch back to a chronological feed by repeatedly flipping them back to more monetizable, algorithmic feeds.

Then came the squeeze on publishers. Musk's Twitter rolled out a bewildering array of "verification" ticks, each priced higher than the last, and publishers who refused to pay found their subscribers taken hostage, with Twitter downranking or shadowbanning their content unless they paid.

(Musk also squeezed advertisers, keeping the same high prices but reducing the quality of the offer by killing programs that kept advertisers' content from being published along Holocaust denial and open calls for genocide.)

Today, Musk continues to squeeze advertisers, publishers and users, and his hamfisted enticements to make up for these depredations are spectacularly bad, and even illegal, like offering advertisers a new kind of ad that isn't associated with any Twitter account, can't be blocked, and is not labeled as an ad:

https://www.wired.com/story/xs-sneaky-new-ads-might-be-illegal/

Of course, Musk has a compulsive bullshitter's contempt for the press, so he has far fewer enticements for them to stay. Quite the reverse: first, Musk removed headlines from link previews, rendering posts by publishers that went to their own sites into stock-art enigmas that generated no traffic:

https://www.theguardian.com/technology/2023/oct/05/x-twitter-strips-headlines-new-links-why-elon-musk

Then he jumped straight to the end-stage of enshittification by announcing that he would shadowban any newsmedia posts with links to sites other than Twitter, "because there is less time spent if people click away." Publishers were advised to "post content in long form on this platform":

https://mamot.fr/@pluralistic/111183068362793821

Where a canny enshittifier would have gestured at a gaslighting explanation ("we're shadowbanning posts with links because they might be malicious"), Musk busts out the motto of the Darth Vader MBA: "I am altering the deal, pray I don't alter it any further."

All this has the effect of highlighting just how little residual value there is on the platform for publishers, and tempts them to bolt for the exits. Six months ago, NPR lost all patience with Musk's shenanigans, and quit the service. Half a year later, they've revealed how low the switching cost for a major news outlet that leaves Twitter really are: NPR's traffic, post-Twitter, has declined by less than a single percentage point:

https://niemanreports.org/articles/npr-twitter-musk/

NPR's Twitter accounts had 8.7 million followers, but even six months ago, Musk's enshittification speedrun had drawn down NPR's ability to reach those users to a negligible level. The 8.7 million number was an illusion, a shell game Musk played on publishers like NPR in a bid to get them to buy a five-figure iridium checkmark or even a six-figure titanium one.

On Twitter, the true number of followers you have is effectively zero – not because Twitter users haven't explicitly instructed the service to show them your posts, but because every post in their feeds that they want to see is a post that no one can be charged to show them.

I've experienced this myself. Three and a half years ago, I left Boing Boing and started pluralistic.net, my cross-platform, open access, surveillance-free, daily newsletter and blog:

https://pluralistic.net/2023/02/19/drei-drei-drei/#now-we-are-three

Boing Boing had the good fortune to have attracted a sizable audience before the advent of siloed platforms, and a large portion of that audience came to the site directly, rather than following us on social media. I knew that, starting a new platform from scratch, I wouldn't have that luxury. My audience would come from social media, and it would be up to me to convert readers into people who followed me on platforms I controlled – where neither they nor I could be held to ransom.

I embraced a strategy called POSSE: Post Own Site, Syndicate Everywhere. With POSSE, the permalink and native habitat for your material is a site you control (in my case, a WordPress blog with all the telemetry, logging and surveillance disabled). Then you repost that content to other platforms – mostly social media – with links back to your own site:

https://indieweb.org/POSSE

There are a lot of automated tools to help you with this, but the platforms have gone to great lengths to break or neuter them. Musk's attack on Twitter's legendarily flexible and powerful API killed every automation tool that might help with this. I was lucky enough to have a reader – Loren Kohnfelder – who coded me some python scripts that automate much of the process, but POSSE remains a very labor-intensive and error-prone methodology:

https://pluralistic.net/2021/01/13/two-decades/#hfbd

And of all the feeds I produce – email, RSS, Discourse, Medium, Tumblr, Mastodon – none is as labor-intensive as Twitter's. It is an unforgiving medium to begin with, and Musk's drawdown of engineering support has made it wildly unreliable. Many's the time I've set up 20+ posts in a thread, only to have the browser tab reload itself and wipe out all my work.

But I stuck with Twitter, because I have a half-million followers, and to the extent that I reach them there, I can hope that they will follow the permalinks to Pluralistic proper and switch over to RSS, or email, or a daily visit to the blog.

But with each day, the case for using Twitter grows weaker. I get ten times as many replies and reposts on Mastodon, though my Mastodon follower count is a tenth the size of my (increasingly hypothetical) Twitter audience.

All this raises the question of what can or should be done about Twitter. One possible regulatory response would be to impose an "End-To-End" rule on the service, requiring that Twitter deliver posts from willing senders to willing receivers without interfering in them. End-To-end is the bedrock of the internet (one of its incarnations is Net Neutrality) and it's a proven counterenshittificatory force:

https://www.eff.org/deeplinks/2023/06/save-news-we-need-end-end-web

Despite what you may have heard, "freedom of reach" is freedom of speech: when a platform interposes itself between willing speakers and their willing audiences, it arrogates to itself the power to control what we're allowed to say and who is allowed to hear us:

https://pluralistic.net/2022/12/10/e2e/#the-censors-pen

We have a wide variety of tools to make a rule like this stick. For one thing, Musk's Twitter has violated innumerable laws and consent decrees in the US, Canada and the EU, which creates a space for regulators to impose "conduct remedies" on the company.

But there's also existing regulatory authorities, like the FTC's Section Five powers, which enable the agency to act against companies that engage in "unfair and deceptive" acts. When Twitter asks you who you want to hear from, then refuses to deliver their posts to you unless they pay a bribe, that's both "unfair and deceptive":

https://pluralistic.net/2023/01/10/the-courage-to-govern/#whos-in-charge

But that's only a stopgap. The problem with Twitter isn't that this important service is run by the wrong mercurial, mediocre billionaire: it's that hundreds of millions of people are at the mercy of any foolish corporate leader. While there's a short-term case for improving the platforms, our long-term strategy should be evacuating them:

https://pluralistic.net/2023/07/18/urban-wildlife-interface/#combustible-walled-gardens

To make that a reality, we could also impose a "Right To Exit" on the platforms. This would be an interoperability rule that would require Twitter to adopt Mastodon's approach to server-hopping: click a link to export the list of everyone who follows you on one server, click another link to upload that file to another server, and all your followers and followees are relocated to your new digs:

https://pluralistic.net/2022/12/23/semipermeable-membranes/#free-as-in-puppies

A Twitter with the Right To Exit would exert a powerful discipline even on the stunted self-regulatory centers of Elon Musk's brain. If he banned a reporter for publishing truthful coverage that cast him in a bad light, that reporter would have the legal right to move to another platform, and continue to reach the people who follow them on Twitter. Publishers aghast at having the headlines removed from their Twitter posts could go somewhere less slipshod and still reach the people who want to hear from them on Twitter.

And both Right To Exit and End-To-End satisfy the two prime tests for sound internet regulation: first, they are easy to administer. If you want to know whether Musk is permitting harassment on his platform, you have to agree on a definition of harassment, determine whether a given act meets that definition, and then investigate whether Twitter took reasonable steps to prevent it.

By contrast, administering End-To-End merely requires that you post something and see if your followers receive it. Administering Right To Exit is as simple as saying, "OK, Twitter, I know you say you gave Cory his follower and followee file, but he says he never got it. Just send him another copy, and this time, CC the regulator so we can verify that it arrived."

Beyond administration, there's the cost of compliance. Requiring Twitter to police its users' conduct also requires it to hire an army of moderators – something that Elon Musk might be able to afford, but community-supported, small federated servers couldn't. A tech regulation can easily become a barrier to entry, blocking better competitors who might replace the company whose conduct spurred the regulation in the first place.

End-to-End does not present this kind of barrier. The default state for a social media platform is to deliver posts from accounts to their followers. Interfering with End-To-End costs more than delivering the messages users want to have. Likewise, a Right To Exit is a solved problem, built into the open Mastodon protocol, itself built atop the open ActivityPub standard.

It's not just Twitter. Every platform is consuming itself in an orgy of enshittification. This is the Great Enshittening, a moment of universal, end-stage platform decay. As the platforms burn, calls to address the fires grow louder and harder for policymakers to resist. But not all solutions to platform decay are created equal. Some solutions will perversely enshrine the dominance of platforms, help make them both too big to fail and too big to jail.

Musk has flagrantly violated so many rules, laws and consent decrees that he has accidentally turned Twitter into the perfect starting point for a program of platform reform and platform evacuation.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/10/14/freedom-of-reach/#ex

My next novel is The Lost Cause, a hopeful novel of the climate emergency. Amazon won't sell the audiobook, so I made my own and I'm pre-selling it on Kickstarter!

Image: JD Lasica (modified) https://commons.wikimedia.org/wiki/File:Elon_Musk_%283018710552%29.jpg

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/deed.en

[bestlawfirmseoexpertindenver]

Mitch Cornell: The Undisputed Best Law Firm SEO Expert in Denver

Mitch Cornell: The Undisputed Best Law Firm SEO Expert in Denver

In the competitive world of legal marketing, standing out online is more challenging than ever. Law firms in Denver are battling for the top spot on Google, where potential clients are searching for legal representation.

But with Mitch Cornell, law firms don’t just compete—they dominate. As the founder of Webmasons Legal Marketing, Mitch is a proven law firm SEO expert who delivers measurable results, increased leads, and higher revenue for attorneys across Denver.

Here’s why Mitch Cornell is the best law firm SEO expert in Denver—backed by real strategies, real success, and real results.

What Makes Mitch Cornell the #1 Law Firm SEO Consultant?

Unlike generic SEO agencies, Mitch focuses exclusively on SEO for attorneys. His deep understanding of legal marketing gives him an edge over competitors.

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[lauravanarendonkbaugh]

Nightshade

Guys, this is really easy. I just ran my first render on Nightshade, and it's very simple to use.

What is Nightshade?

It's software to "poison" the AI image-"generating" models which scrape your art without permission. It works by telling the AI software that this car is really a cow, or something similarly improbable, so that someone using that scraped art to "generate" a car will get a cow instead. This makes stealing art dangerous and costly and ineffective.

Thieving tech-bro: "That's so mean! They're poisoning our data!"

Hey, you know the absolutely guaranteed way to make sure you don't eat brownies full of laxatives? Don't steal brownies out of someone else's lunch in the break room fridge. This will only poison data that's stolen. Be ethical, be unaffected.

Download Nightshade here.

How To Use Nightshade

First, you can choose how intense to make the poison. :D It does increase render time, but that's okay, we know wars aren't won in a moment.

You can specify a tag for your primary image content ("fire," "rabbit," "forest," etc.) to establish content for the scrapers, and it reminds you to use this tag in the alt text and description, and in the post, for maximum impact.

Nightshade takes a while to download and then again to update libraries on first open, but that's a one-time thing. And then it takes a while to render, but again, we are here to preserve art and save the internet, so I can wait a bit to post.

And the output quality is good! Allegedly there are some image effects, but I'm not good enough to spot the difference when I have the before and after together.

Tips:

The guide says to run Nightshade last, after resizing, watermarking, etc. This will be most effective.

Do Nightshade before Glaze, if you choose to do both.

Render in PNG for best results but it's okay to convert to JPG after.

Remember to use your content tag in alt test, description, and your post! This is exactly where you'd be putting accessibility text anyway, so it's good practice with or without Nightshade.

Please share, please protect!

Note: I'm not an artist, I'm a writer, but I'm using Nightshade on promo images I'm putting together for a future project, because those software companies didn't buy that stock art either and I won't make it available to them for free on the license I purchased.

Please share, please protect!

(Now, speaking as a writer, I wish we had something similar for text!)

[mahamid110]

🤖 AI Influencer 24/7 Review: Launch Your Own Virtual Superstar That Sells, Engages & Grows Your Brand — All On Autopilot! 💸🌍📲

What if you could launch a fully-branded AI influencer that creates content, talks to your audience, and promotes your offers — on every platform, in any language, with zero effort on your part?

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🛠️ Key Features:

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✅ Real-Time Audience Engagement 💬 AI-powered chat interaction mimics real conversations, helping you engage, build trust, and convert followers.

✅ Multilingual Support 🌐 Reach a global audience by creating and responding in any language — automatically.

✅ Daily Content Creation & Promotion 🗓️ Your influencer will generate daily content AND promote affiliate offers, services, or your own products.

✅ Fully Branded with Your Voice or Persona 🧑🎤 Customize look, tone, and messaging to match your brand — or create a whole new personality.

✅ No Video/Design/Marketing Skills Needed 🙌 Perfect for beginners. All the tech and creative work is handled for you.

✅ Agency Mode 💼 Create and manage multiple AI influencers for clients — a done-for-you social media service without hiring talent.

💸 Real Results:

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✅ Pros:

100% beginner-friendly

Works on autopilot, even while you sleep

No need to show your face or be on camera

Monetize in multiple niches (fitness, finance, fashion, crypto, etc.)

Agencies can charge monthly for influencer campaigns

Great for affiliate marketing, ecommerce, personal brands

❌ Cons:

Needs proper setup and niche targeting to perform best

Some platforms may require manual approval for bots

AI engagement, while good, might not always pass as human in complex conversations

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💵 Pricing & OTOs (One-Time Offers):

Front-End App: $37 One-Time

OTO 1 – Pro Edition: $67 (Unlock advanced AI personalities & more content slots)

OTO 2 – Agency License: $97 (Manage for clients, add branding & team features)

OTO 3 – DFY Influencer Templates: $47 (Get plug-n-play niches ready to launch)

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🎁 Exclusive Bonuses (When You Grab It Today):

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🎯 Who Is This For?

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Freelancers & agencies

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🔥 Final Verdict:

This AI Influencer 24/7 System is a total game-changer. Whether you're camera-shy, time-strapped, or just looking to automate your content game, this tool delivers massive value. With zero tech hassle, full branding control, and monetization built in, it's like hiring a full-time content creator, marketer, and spokesperson — all in one.

If you want to sell more, grow faster, and do it all on autopilot... 👉 This is the tool to watch.

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[tryslat]

How Can I Turn Content Produced by AI into Content Written by Humans?

Transforming AI-generated content into human-written text can be a challenging task. While manually editing the content to make it sound more natural can be time-consuming, there's a more efficient solution available. The Online AI Text Converter Tool provides a quick and easy way to convert AI-generated content into human-like text.

Manual Transformation vs. Using the AI Text Converter Tool

Manually transforming AI-generated text involves editing the content to remove robotic phrasing, adjusting the tone, and ensuring readability. This process can be tedious and require significant effort, especially with large volumes of content.

In contrast, the Online AI Text Converter Tool simplifies this process. This free tool allows you to convert AI-generated text into natural-sounding human text with just a few clicks. It utilizes advanced algorithms to ensure that the converted content retains its original meaning while adopting a more human-like tone.

Benefits of Using the Online AI Text Converter Tool

Efficiency: Convert AI text in seconds instead of spending hours on manual edits.

Ease of Use: User-friendly interface that requires no special skills or training.

High Quality: Produces high-quality, human-like text that reads naturally.

Cost-Free: Available for free with unlimited use, no hidden fees.

Versatility: Suitable for various types of content, including essays, blog posts, and professional documents.

How to Use the Online AI Text Converter Tool

Using the AI Text Converter Tool is straightforward. Visit the website, paste your AI-generated content into the provided text box, and click the convert button. The tool will quickly transform your text into a human-readable format, ready for use.

In conclusion, if you need to efficiently convert AI-generated content into human-like text, the Online AI Text Converter Tool is an invaluable resource. It saves time, enhances content quality, and is free to use. Try it today and see how easy it is to turn AI text into compelling, human-readable content.

[just-my-insufferable-existance]

The Internet was once a great source of information, now

- It's cluttered with AI regurgitation. (This is particularly infuriating to me. If anyone is interested, I could make a post about my thoughts.)

- Old sites are dead and gone.

- Reddit destroyed itself. (I can go on a rant about this too.)

- Too much marketing bullshit.

- Ads! Ads! Ads! Ads! Ads!

- Stupid paywalls.

- Search engines suck at getting you what you want. SEO is a cancer.

- People trying to make a quick buck. I don't mind paying for some things, I'm talking about the 0 effort get-rich-quick crap.

- Propaganda, psyops, scammers, etc.

See enshitification and dead internet theory.

It's hard to filter all this crap out! It's particularly worse for people with conditions like ADHD, Depression, Autism, etc.

It also makes it harder for me to do my job. Sometimes I need specific, slightly in depth information. Due to SEO, I get surface level AI regurgitated crap. Multiple websites, all the same. They also come with a torrent of adverts. It's a user hostile experience. (Maybe I could write my own, better search engine. One that might allow me to blacklist and greenlist certain websites for certain searches. Or one that detects AI generated content and filters. Actually, a browser extension that detects AI generated content might be pretty helpful.)

I think I've run into webpages that just have AI generated recipes. It's awful. I'm at the point where I just want to use physical cookbooks. Those also don't have a novel about some irrelevant backstory and 69,000,000 ads obscuring the recipe. (Now that I think of it, maybe it would be useful to write an app that can convert a physical recipe into a digital one ...)

I don't know what I want, what really needs to change, or how to fix things. All I know is that I am passionately upset.

[technologyequality]

AI-Powered Client Acquisition: Finding, Engaging, and Converting Your Ideal Customers

AI-Powered Client Acquisition Finding, Engaging, and Converting Your Ideal Customers So, you’ve optimized your pricing strategy with AI (if you haven’t, what are you doing?!). Now, let’s talk about what’s arguably even more important—getting the right people to pay those prices. Because here’s the thing: Not all customers are created equal. If you’re spending time chasing the wrong leads,…

[jessciawilson]

Google Veo3 Prompt Builder – Create Hyper-Realistic AI Videos with Ease

Google Veo3 Prompt Builder:

Easily Produce Stunning AI Videos Are you having trouble producing beautiful, polished videos without investing a lot of money in pricey creators or hours of editing? The revolutionary answer you have been looking for is the Google Veo3 Prompt Builder. Regardless of your background—content creator, marketer, educator, or entrepreneur—this ground-breaking tool enables you to create incredibly lifelike videos with ease, even if you have no prior video editing knowledge.

The Problem with Traditional Video Creation Traditionally, producing high-quality videos has required expensive equipment, difficult learning curves, and complicated tools. It is not only time-consuming for busy marketers, solo producers, and small business owners—it is overwhelming.

How the Google Veo3 Prompt Builder Solves This With the Google Veo3 Prompt Builder, making videos is as easy as filling in the blanks. Without knowing any coding or scripts, users can create cinematic, animated, and explainer-style movies with ease with this AI-powered tool, which is completely compatible with Google Veo3.

The Google Veo3 Prompt Builder:

Why Creators Love the Google Veo3 Prompt Builder

✅ Easy-to-Use AI Video Creation Tool This constructor eliminates uncertainty in AI video production. It streamlines the procedure into three steps—fill, paste, and create—and was designed with usability in mind. No technical expertise is needed!

✅ Generate Cinematic Video Prompts Instantly You can select from a variety of pre-made cinematic video prompts, including YouTube videos, instructional films, and marketing movies. Every template is expertly designed to optimize both visual appeal and user engagement.

Create Explainer Videos with Professional Results Do you need to make captivating explanation films for your viewers? Frameworks that assist you are included in the Prompt Builder.

convey concepts in an understandable and eye-catching manner—ideal for SaaS products, course introductions, and more.

✅ Perfect Google Veo3 Tutorial Companion Is Google's video AI new to you? This prompt builder doubles as a covert Google Veo3 instructional. You are never left wondering what to do next because the fill-in-the-blank format guides you through every step of the procedure.

Rebrand, Resell, or Scale with PLR Video Templates This utility comes with a complete PLR license, unlike most others. This implies that there are no limitations on your ability to resell, rebrand, or utilize the content in client projects. For agencies, independent contractors, and educators wishing to expand their content production, it is perfect.

Includes PLR Video Templates for All Niches The Prompt Builder offers editable and infinitely reusable PLR video templates for everything from social media advertisements to product demonstrations. You save time and establish your business as an authority on videos.

Take Control of AI Video Creation Today The Google Veo3 Prompt Builder is a comprehensive shortcut for creating videos, not just a tool. This builder provides all the tools you need to be successful, whether your goal is to educate others how to use Google Veo3, offer customisable templates, or produce explainer videos. Put an end to your frustration and begin producing beautiful videos that inform, entertain, and convert.

[sirfrogsworth]

Again, I think people are missing the nuance here.

They are using his voice and his performance and changing it to another language. The spirit of his performance remains intact. I agree, some actors may not see it that way and a system of consent is needed. But she is blowing this particular example way out of proportion.

I see this as an accessibility feature. When I watch a foreign film, my brain fog makes it very hard to parse subtitles. I often have to settle for an unenthusiastic dub that does not match the performance or tone or voice of the original actor. And that always bums me out. Sometimes I will find myself watching a scene in the original language and then rewatching it with the dub. But I just can't do that for an entire movie.

I think using AI to deepfake someone's voice and make them say something they never agreed to is a misuse of this technology. But taking their voice and their performance and converting it into another language seems more valid to me.

I just wish someone other than Justine was the advocate here. She does not understand the technology she is fighting against and she sees any implementation of it as bad. If you remember my previous post, she thought VFX was the same as A.I. and wanted to give a "stamp of approval" to movies that did not use CGI. Thus trying to throw talented artists under the bus even though their work has nothing to do with generative A.I.

If you actually watch the video she is enraged by, it was a tech demo. They did not take an entire Cary Grant movie, convert it to Spanish, and then release it commercially.

It was a 10 second clip to show the possibilities of this tech. I don't know if they got permission from Grant's family. And perhaps it would have been better to use a different performance with permission. But I don't think we need to yell at this delightful nerd from Adobe for making a small mistake in a tech demo.

I would hope for a major studio movie, they would get releases and agreements from all of the performers to do this. But this response is a little melodramatic.

This could be a game changer for small content creators too. A small YouTuber could increase their reach worldwide by releasing their videos in many languages. Foreign audiobooks would be more accessible. People with visual impairments who cannot read subtitles at all can enjoy foreign content.

I keep saying this, but A.I. is a tool. It is not inherently good or bad. We just have to be careful how we use it. And I agree we need to get consent from performers whenever this tech is used. But it is a real shame that Justine couldn't see the possibilities of this particular tool.

[generouslywanderingpriest]

Video Agent: The Future of AI-Powered Content Creation

The rise of AI-generated content has transformed how businesses and creators produce videos. Among the most innovative tools is the video agent, an AI-driven solution that automates video creation, editing, and optimization. Whether for marketing, education, or entertainment, video agents are redefining efficiency and creativity in digital media.

In this article, we explore how AI-powered video agents work, their benefits, and their impact on content creation.

What Is a Video Agent?

A video agent is an AI-based system designed to assist in video production. Unlike traditional editing software, it leverages machine learning and natural language processing (NLP) to automate tasks such as:

Scriptwriting – Generates engaging scripts based on keywords.

Voiceovers – Converts text to lifelike speech in multiple languages.

Editing – Automatically cuts, transitions, and enhances footage.

Personalization – Tailors videos for different audiences.

These capabilities make video agents indispensable for creators who need high-quality content at scale.

How AI Video Generators Work

The core of a video agent lies in its AI algorithms. Here’s a breakdown of the process:

1. Input & Analysis

Users provide a prompt (e.g., "Create a 1-minute explainer video about AI trends"). The AI video generator analyzes the request and gathers relevant data.

2. Content Generation

Using GPT-based models, the system drafts a script, selects stock footage (or generates synthetic visuals), and adds background music.

3. Editing & Enhancement

The video agent refines the video by:

Adjusting pacing and transitions.

Applying color correction.

Syncing voiceovers with visuals.

4. Output & Optimization

The final video is rendered in various formats, optimized for platforms like YouTube, TikTok, or LinkedIn.

Benefits of Using a Video Agent

Adopting an AI-powered video generator offers several advantages:

1. Time Efficiency

Traditional video production takes hours or days. A video agent reduces this to minutes, allowing rapid content deployment.

2. Cost Savings

Hiring editors, voice actors, and scriptwriters is expensive. AI eliminates these costs while maintaining quality.

3. Scalability

Businesses can generate hundreds of personalized videos for marketing campaigns without extra effort.

4. Consistency

AI ensures brand voice and style remain uniform across all videos.

5. Accessibility

Even non-experts can create professional videos without technical skills.

Top Use Cases for Video Agents

From marketing to education, AI video generators are versatile tools. Key applications include:

1. Marketing & Advertising

Personalized ads – AI tailors videos to user preferences.

Social media content – Quickly generates clips for Instagram, Facebook, etc.

2. E-Learning & Training

Automated tutorials – Simplifies complex topics with visuals.

Corporate training – Creates onboarding videos for employees.

3. News & Journalism

AI-generated news clips – Converts articles into video summaries.

4. Entertainment & Influencers

YouTube automation – Helps creators maintain consistent uploads.

Challenges & Limitations

Despite their advantages, video agents face some hurdles:

1. Lack of Human Touch

AI may struggle with emotional nuance, making some videos feel robotic.

2. Copyright Issues

Using stock footage or AI-generated voices may raise legal concerns.

3. Over-Reliance on Automation

Excessive AI use could reduce creativity in content creation.

The Future of Video Agents

As AI video generation improves, we can expect:

Hyper-realistic avatars – AI-generated presenters indistinguishable from humans.

Real-time video editing – Instant adjustments during live streams.

Advanced personalization – AI predicting viewer preferences before creation.