#AI for app user engagement

[grey-space-computing]

Enhancing User Experience in Saudi Mobile Apps with AI

In the current digital environment, the triumph of mobile applications is deeply rooted in their user experience (UX). With the rise of artificial intelligence (AI), mobile apps are becoming more intelligent, responsive, and personalized. In Saudi Arabia, where the digital economy is rapidly expanding, integrating AI into mobile app development is not just a trend—it's a necessity. This article delves into how AI is enhancing user experience in Saudi mobile apps, exploring the benefits, challenges, and future prospects.

1. The Role of AI in Mobile App Development

Artificial intelligence (AI) has transformed numerous sectors, and mobile app development is certainly among them. In the context of user experience, AI plays a pivotal role in making apps more intuitive, efficient, and tailored to individual user needs. Whether it's through predictive analytics, natural language processing, or machine learning algorithms, AI enhances every aspect of the user journey.

1.1 Predictive Analytics for Personalized Experiences

One of the key advancements AI has brought to mobile app development is predictive analytics. By analyzing user data, AI can predict future behavior and preferences. This allows apps to offer personalized recommendations, content, and services, thereby improving user engagement and satisfaction.

1.2 Natural Language Processing for Better Interaction

Natural Language Processing (NLP) enables apps to understand and respond to user queries in a more human-like manner. In Saudi Arabia, where Arabic is the primary language, NLP can be particularly beneficial in providing seamless communication between the app and the user. By understanding the nuances of the Arabic language, AI can enhance the overall interaction quality.

1.3 Machine Learning for Continuous Improvement

Machine learning algorithms enable apps to learn from user interactions and continuously improve over time. This means that the more a user interacts with an app, the better the app becomes at meeting their needs. For businesses in Saudi Arabia, this translates to higher customer retention rates and increased loyalty.

2. The Importance of UX in Saudi Arabia's Digital Economy

Saudi Arabia is undergoing a digital transformation, with a significant focus on enhancing the digital economy. Mobile apps are at the forefront of this transformation, serving as key platforms for e-commerce, banking, entertainment, and more. In such a competitive market, delivering a superior user experience is crucial for success.

2.1 User-Centric Design: The Key to Success

A user-centric design approach is essential for creating apps that resonate with the target audience. In Saudi Arabia, this means considering cultural nuances, language preferences, and the unique needs of the local population. By integrating AI into the design process, developers can create apps that are not only functional but also emotionally engaging.

2.2 The Impact of AI on User-Centric Design

AI can analyze vast amounts of data to identify user pain points and preferences. This information can then be used to design more intuitive interfaces, streamline navigation, and offer features that align with user expectations. For example, AI can propose design modifications based on user feedback, ensuring the app stays relevant and user-friendly.

3. AI-Driven Personalization: A Game Changer for User Engagement

Modern user experiences are deeply rooted in personalization. With AI, mobile apps can deliver highly personalized experiences that keep users engaged and satisfied. From personalized content recommendations to tailored notifications, AI-driven personalization is a game changer for user engagement.

3.1 Personalized Content Recommendations

AI-driven algorithms can assess user behavior to suggest content tailored to their preferences. This is particularly valuable in entertainment apps, where users are more likely to engage with content that resonates with them. In Saudi Arabia, where digital content consumption is on the rise, personalized recommendations can significantly enhance user experience.

3.2 Tailored Notifications for Better Engagement

Notifications are a powerful tool for keeping users engaged with an app. However, generic notifications may often be seen as intrusive. AI can help by sending tailored notifications based on user behavior and preferences. This ensures that users receive relevant updates that add value to their experience.

4. Enhancing Mobile App Security with AI

Security is a top concern for mobile app users, especially when it comes to sensitive information such as financial data. AI can enhance mobile app security by detecting and preventing threats in real-time, providing users with a safer experience.

4.1 AI-Powered Fraud Detection

AI can analyze patterns in user behavior to detect fraudulent activities. For example, if an unusual transaction is detected, the app can alert the user and take preventive measures. This is particularly important for financial apps in Saudi Arabia, where trust and security are paramount.

4.2 Ensuring Data Privacy with AI

Data privacy is a significant concern in the digital age. AI can help ensure that user data is handled securely by monitoring data access and usage. By integrating AI into mobile app development, businesses can build trust with their users by demonstrating a commitment to data privacy.

5. The Future of AI in Saudi Mobile Apps

The outlook for AI in mobile app development in Saudi Arabia is exceptionally promising. As AI technology continues to evolve, we can expect even more innovative solutions that enhance user experience.

5.1 AI and Augmented Reality (AR) Integration

One of the most thrilling advancements is the potential for combining AI with augmented reality (AR). This integration promises to create more immersive and interactive experiences by blending digital information with the physical world in real time. This combination can create immersive experiences that blend the digital and physical worlds. For example, AI-powered AR apps can offer personalized shopping experiences, allowing users to virtually try on products before making a purchase.

5.2 Voice-Activated Apps Powered by AI

Voice-activated apps are becoming increasingly popular, thanks to advancements in AI and NLP. In Saudi Arabia, where voice assistants like Siri and Google Assistant are widely used, integrating voice activation into mobile apps can enhance accessibility and user convenience.

Conclusion

AI is transforming the landscape of mobile app development in Saudi Arabia, offering new opportunities to enhance user experience. From personalized content recommendations to advanced security features, AI-driven apps are better equipped to meet the evolving needs of users. As the digital economy in Saudi Arabia continues to grow, businesses that leverage AI in their mobile apps will be well-positioned to succeed in this competitive market.

FAQs

1. How does AI improve user experience in mobile apps?

AI enhances user experience by personalizing content, improving app security, and enabling more intuitive interactions.

2. Why is user-centric design important in Saudi mobile apps?

User-centric design ensures that the app meets the unique needs and preferences of the local population, leading to higher user satisfaction.

3. How can AI enhance mobile app security?

AI can detect and prevent security threats in real-time, ensuring that user data is protected.

4. What is the future of AI in mobile apps?

The future of AI in mobile apps includes the integration of augmented reality and voice activation, offering even more immersive and accessible experiences.

5. Why is personalization important in mobile apps?

Personalization keeps users engaged by delivering content and notifications that align with their interests and preferences.

[clevertalelover]

SendValid Review: The Game-Changer for Email Campaign Success!

Welcome to my SendValid review. In the ever-evolving email marketing landscape, one tool promises to transform how you interact with your audience: SendValid. Dubbed the world’s first AI-powered email list cleaner and optimizer, SendValid claims to guarantee an impressive 99.99% deliverability rate.

With promises to significantly enhance open rates and engagement, this revolutionary app is set to redefine email marketing standards. But does it truly live up to the hype?

In this review, we delve into the features, benefits, and potential drawbacks of SendValid to determine whether it’s a worthy addition to your marketing toolkit. Dive in to explore how SendValid is positioned to become a game-changer for businesses reliant on email marketing.

Read the full review here>>>

[learning--tech]

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Maximize your reach and engagement with our cutting-edge advertising platform. Tailor your campaigns to specific audiences and utilize real-time analytics to optimize performance. Our platform helps you achieve higher conversion rates and a stronger online presence.

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Monetize your mobile applications with designated ad spaces. Our in-app advertising feature allows you to serve targeted ads to users, providing an additional revenue stream while ensuring ads are relevant and non-intrusive.

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[enixostudio]

Navigating Teen Patti Game Development: A Beginner's Guide

In the bustling world of mobile gaming, Teen Patti holds a special place, especially among players in India and South Asia. This card game, often referred to as Indian Poker, combines skill, luck, and social interaction, making it a favorite pastime for millions. With the surge in online gaming, developing a Teen Patti game can be a lucrative venture. However, navigating the path of game development, especially for beginners, can be daunting. Here’s a simplified guide to help you through the process, with a special mention of Enixo Studio towards the end, a team that can help turn your vision into reality.

Understanding Teen Patti

Before diving into development, it's crucial to understand the game itself. Teen Patti is typically played by 3 to 6 players with a 52-card pack without jokers. The game starts with a fixed bet amount, and the goal is to have the best three-card hand and maximize the pot before the game ends. Understanding these basic rules and the variations that exist is the first step in creating an engaging Teen Patti game.

Research and Planning

Research the market to identify what existing Teen Patti games offer and what players expect. Look into the features that make these games appealing and areas where they lack. This initial research will help in planning your game, including deciding on unique features, game mechanics, and social elements you want to include to stand out in the crowded market.

Design and User Experience (UX)

Design is not just about how the game looks but also how it feels to the players. A good Teen Patti game should have an intuitive interface, easy navigation, and engaging graphics that replicate the excitement of a real-life game. The UX should be smooth, ensuring players of all ages can understand how to play the game without a steep learning curve.

Development Tools and Technology

Choosing the right tools and technology is critical for developing a robust Teen Patti game. There are several game development engines, like Unity or Unreal Engine, that offer the flexibility and power needed for such a game. Additionally, deciding whether the game will be developed for iOS, Android, or both platforms will impact your choice of technology and development strategy.

Implement Social Features

Teen Patti is inherently a social game. Incorporating features that allow players to interact, such as in-game chat, friend lists, and the ability to play with friends or join public tables, can significantly enhance the appeal of your game. These features encourage community building and can increase player retention.

Focus on Fair Play and Security

Ensuring fair play through a reliable Random Number Generator (RNG) system is non-negotiable. This fosters trust among players. Equally important is the security of the game, protecting users' data and transactions. Implementing high-level encryption and secure payment gateways is essential for maintaining the integrity of the game.

Testing and Feedback

Before launching, thorough testing of the game is crucial to identify and fix any bugs or UX issues. Beta testing with a select group of players can provide valuable feedback on the game's appeal and areas for improvement. This step is vital to ensure a smooth and enjoyable experience for all players upon launch.

Marketing and Launch

A well-planned marketing strategy can make a significant difference in the game's success. Utilizing social media, influencer partnerships, and targeted advertising can help create buzz around the game. Upon launch, continuous engagement with the community and regular updates based on player feedback can keep the game fresh and interesting.

Partnering with Enixo Studio

Embarking on the Teen Patti game development journey is an exciting but challenging process. Partnering with a seasoned game development studio like Enixo Studio can help ease the burden. With expertise in mobile game development, including casino and card games, Enixo Studio offers end-to-end services from conceptualization and design to development, testing, and launch. Their experienced team can provide the guidance and technical support needed to create a Teen Patti game that stands out in the competitive market.

Navigating the complexities of Teen Patti game development requires a thorough understanding of the game, a clear plan, attention to design and user experience, and a focus on social and security features. With the right approach and a partner like Enixo Studio, you can create a Teen Patti game that captivates and entertains players for years to come.

[sayruq]

A little-discussed detail in the Lavender AI article is that Israel is killing people based on being in the same Whatsapp group [1] as a suspected militant [2]. Where are they getting this data? Is WhatsApp sharing it? Lavender is Israel's system of "pre-crime" [3] - they use AI to guess who to kill in Gaza, and then bomb them when they're at home, along with their entire family. (Obscenely, they call this program "Where's Daddy"). One input to the AI is whether you're in a WhatsApp group with a suspected member of Hamas. There's a lot wrong with this - I'm in plenty of WhatsApp groups with strangers, neighbours, and in the carnage in Gaza you bet people are making groups to connect. But the part I want to focus on is whether they get this information from Meta. Meta has been promoting WhatsApp as a "private" social network, including "end-to-end" encryption of messages. Providing this data as input for Lavender undermines their claim that WhatsApp is a private messaging app. It is beyond obscene and makes Meta complicit in Israel's killings of "pre-crime" targets and their families, in violation of International Humanitarian Law and Meta's publicly stated commitment to human rights. No social network should be providing this sort of information about its users to countries engaging in "pre-crime".

[thegalleonsnest]

OK since I haven't seen too many people talk about this since twitter news usually strikes pretty fast over here whenever e'usk does anything ever, let me give ya'll the run down on two things that will go live on NOVEMBER 15TH and why people are mass migrating to Blue Sky once more; and provide resources to help protect your art and make the transition to Blue Sky easier if you so choose:

The Block function no longer blocks people as intended. It now basically acts as a glorified Mute button. Even when you block someone, they can still see your posts, but they can't engage in them. If your account is a Public one and not a Private one, people you blocked will see your posts.

They say because people can easily "share and hide harmful or private information about those they've blocked," they changed it this way for "greater transparency." When in reality, this is an extremely dangerous change, as the whole point of blocking is to cease interaction with people entirely for a plethora of reasons, i.e. stalking, harassment, spam, endangerment, or just plainly annoying and not wanting to see said tweets/accounts. or you know, for 18+ accounts who do not want minors interacting with them or their material at all (There is speculation saying these changes are specifically for Elon himself so he can do his own kind of stalking, and honestly, with the private likes change, it lowkey checks out in my opinion)

Also, this straight up goes against and may violate Apple and Google's app store policies and also is straight up illegal in Canada and probably other countries as well.

If this ACTUALLY goes through, twitter will only be available in select countries, probably exclusively in the US, which would collapse the site with the lost of users and stock, and probably be the last push it needs to kill the site. And if not, will be a very sad and exclusive platform made for specific kinds of people who line up with musk's line of thinking.

2. New policies regarding Grok AI and basically removing the option to opt out of Grok's information gathering to improve their software.

And anything you upload/post on the site is considered "fair game" with "royalty-free licenses" and they can do whatever they please with it. Primarily using any and all posts on twitter to train their Grok AI. A few months ago, there was a setting you can opt out of so they couldn't take anything you post to "improve" Grok, but I guess because so many people were opting out, they decided to make it mandatory as part of the policy change (This is mainly speculation from what I hear).

So this is considered the final straw for a LOT of people, especially artists who have been gripping on to twitter for as long as they can, but the AI nonsense is too much for people now, including myself. Lot's of people are moving to Blue Sky for good reason, and from personal experience, it is literally 10x better than twitter ever was, even before elon took over. There is no algorithm on there, and you can save "feeds" to your timeline to have a catered timelines to hop between if your looking for something specific like furry art or game dev stuff. It's taken them a bit to get off the ground and add much needed features, but it's genuinely so much better now

RESOURCES

Project Glaze & Cara

If you're an artist who's still on twitter or trying to ride it out for as long as you can for whatever reason you have, do yourself a favor and Glaze and/or Nightshade your work. Project Glaze is a free program designed to protect your art work from getting scrapped by AI machines. Glazing basically makes it harder to adapt and copy artwork that AI programs try to scan, while Nightshade basically "poisons" works to make AI libraries much more unstable and generate images completely off the mark. (These are layman's terms I'm using here, but follow the link to get more information)

The only problem with these programs is that they can be resource intensive for computers, and not every pc can run glaze. It's basically like rendering a frame/animation, you gotta let your pc sit there to get it glazed/nightshade, and depending on the intensity and power of your pc, this may take minutes to hours depending on how much you wanna protect your work.

HOWEVER, there are two alternatives, WebGlaze and Cara

WebGlaze is an in browser version of the program, so your pc doesn't have to do the heavy lifting. You do need to have an account with Glaze and be invited to use the program (I have not done so personally so I don't know much about the process.)

Cara is an artist focused site that doubles as both a portfolio site and a general social media platform. They've partnered with Glaze and have their own browser glazing called "Cara Glaze," and highly encourage users to post their work Glazed and are extremely anti-ai. You do get limited uses per day to glaze your work, so if you plan on doing a huge backlog uploading of your art, it may take awhile if your using just Cara Glaze.

Some twitter users have suggested glazing your art, cropping it, and overlaying it with a frame telling people to follow them elsewhere like on Bluesky. Here's a template someone provided if you wanna use this one or make your own.

Blue Sky Resources and Tips

So if your a twitter user and your about to realize the hellish task of refollowing a massive chunk of people you follow, have no fear, there's an extension called Sky Follower Bridge (Firefox & Chrome links). This is a very basic extension that makes it really easy to find people on Bluesky

It sorts them out by trying to find matching usernames, usernames in descriptions, or by screen name. It's not 100% perfect, there's a couple people I already follow on Blue Sky but the extension could not find them on twitter correctly, but I still found a huge chunk of people. Also if your worried that this extension is "iffy," they do have a github open with the source publicly available and the Blue Sky Team themselves have promoted the extension in their recent posts while welcoming new users to the platform.

FEEDS and LABELS

OK SO THE COOLEST PART ABOUT BLUESKY IS THE FEEDS SYSTEM. Basically if you've made a twitter list before, it's like that, but way more customizable and caters to specific types of posts/topics. Consolidating them into a timeline/feed that exclusively filled about those particular topics, or just people in general. There's thousands to pick and choose from!

Here's a couple of mine that I have saved and ready (down below). Some feeds I have saved so I can jump to seeing what my friends and mutuals are up to, and see their posts specifically so it doesn't get lost in reposts or other accounts, and also specialized feeds for browsing artists within the furry community.

The Furry Community feeds I have here were created by people who've built an algorithm to place any #furry or #furryart or other special tags like #Furrystreamer or #furrydev. They even have one for commissions, and yes you can say commissions on a post and not have it destroyed or shadow banned. You are safe.

If you want, and I highly recommend it to get visibility and check out a neat community, follow furryli.st to get added to their list and feeds. Once your on the list, even without a hashtag, you'll still pop up in their specialized feeds as just a member of the community there. There are plenty of other feeds out there besides this one, but I feel like a lot of people could use one like this. They even got ones for OC specific too I remember seeing somewhere.

And in terms of labels, they can be either ways to help label yourself with specific things or have user created accessibility settings to help better control your experience on Blue Sky.

And my personal favorite: Ai Imagery Labeler. Removes any AI stuff or hides it to the best of it's abilities, and it does a pretty good job, I have not seen anything AI related since subscribing to it.

Finally, HASHTAGS WORK & No need to censor yourself!

This is NOT like twitter or any other big named social media site AT ALL, so you don't have to work around words to get your stuff out there and be seen. There are literally feeds built around having commissions getting and art seen! Some people worry about bots and that has been a recent issue since a lot of people are migrating to Blue Sky, but it comes with any social media territory.

ALSO COOL PART,

you can search a hashtag on someone's profile and search exclusively on that profile as well! You can even put the hashtag in bio for easy access if you have a specialize tag like here on tumblr. OR EVEN BUILD YOUR OWN ART FEED FOR YOUR STUFF SPECIFICALLY!

So yeah, there's your quick run down about twitter's current burning building, how to protect your art, and what to do when you move to Blue Sky! Have fun!

[mostlysignssomeportents]

“Humans in the loop” must detect the hardest-to-spot errors, at superhuman speed

I'm touring my new, nationally bestselling novel The Bezzle! Catch me SATURDAY (Apr 27) in MARIN COUNTY, then Winnipeg (May 2), Calgary (May 3), Vancouver (May 4), and beyond!

If AI has a future (a big if), it will have to be economically viable. An industry can't spend 1,700% more on Nvidia chips than it earns indefinitely – not even with Nvidia being a principle investor in its largest customers:

https://news.ycombinator.com/item?id=39883571

A company that pays 0.36-1 cents/query for electricity and (scarce, fresh) water can't indefinitely give those queries away by the millions to people who are expected to revise those queries dozens of times before eliciting the perfect botshit rendition of "instructions for removing a grilled cheese sandwich from a VCR in the style of the King James Bible":

https://www.semianalysis.com/p/the-inference-cost-of-search-disruption

Eventually, the industry will have to uncover some mix of applications that will cover its operating costs, if only to keep the lights on in the face of investor disillusionment (this isn't optional – investor disillusionment is an inevitable part of every bubble).

Now, there are lots of low-stakes applications for AI that can run just fine on the current AI technology, despite its many – and seemingly inescapable - errors ("hallucinations"). People who use AI to generate illustrations of their D&D characters engaged in epic adventures from their previous gaming session don't care about the odd extra finger. If the chatbot powering a tourist's automatic text-to-translation-to-speech phone tool gets a few words wrong, it's still much better than the alternative of speaking slowly and loudly in your own language while making emphatic hand-gestures.

There are lots of these applications, and many of the people who benefit from them would doubtless pay something for them. The problem – from an AI company's perspective – is that these aren't just low-stakes, they're also low-value. Their users would pay something for them, but not very much.

For AI to keep its servers on through the coming trough of disillusionment, it will have to locate high-value applications, too. Economically speaking, the function of low-value applications is to soak up excess capacity and produce value at the margins after the high-value applications pay the bills. Low-value applications are a side-dish, like the coach seats on an airplane whose total operating expenses are paid by the business class passengers up front. Without the principle income from high-value applications, the servers shut down, and the low-value applications disappear:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

Now, there are lots of high-value applications the AI industry has identified for its products. Broadly speaking, these high-value applications share the same problem: they are all high-stakes, which means they are very sensitive to errors. Mistakes made by apps that produce code, drive cars, or identify cancerous masses on chest X-rays are extremely consequential.

Some businesses may be insensitive to those consequences. Air Canada replaced its human customer service staff with chatbots that just lied to passengers, stealing hundreds of dollars from them in the process. But the process for getting your money back after you are defrauded by Air Canada's chatbot is so onerous that only one passenger has bothered to go through it, spending ten weeks exhausting all of Air Canada's internal review mechanisms before fighting his case for weeks more at the regulator:

https://bc.ctvnews.ca/air-canada-s-chatbot-gave-a-b-c-man-the-wrong-information-now-the-airline-has-to-pay-for-the-mistake-1.6769454

There's never just one ant. If this guy was defrauded by an AC chatbot, so were hundreds or thousands of other fliers. Air Canada doesn't have to pay them back. Air Canada is tacitly asserting that, as the country's flagship carrier and near-monopolist, it is too big to fail and too big to jail, which means it's too big to care.

Air Canada shows that for some business customers, AI doesn't need to be able to do a worker's job in order to be a smart purchase: a chatbot can replace a worker, fail to their worker's job, and still save the company money on balance.

I can't predict whether the world's sociopathic monopolists are numerous and powerful enough to keep the lights on for AI companies through leases for automation systems that let them commit consequence-free free fraud by replacing workers with chatbots that serve as moral crumple-zones for furious customers:

https://www.sciencedirect.com/science/article/abs/pii/S0747563219304029

But even stipulating that this is sufficient, it's intrinsically unstable. Anything that can't go on forever eventually stops, and the mass replacement of humans with high-speed fraud software seems likely to stoke the already blazing furnace of modern antitrust:

https://www.eff.org/de/deeplinks/2021/08/party-its-1979-og-antitrust-back-baby

Of course, the AI companies have their own answer to this conundrum. A high-stakes/high-value customer can still fire workers and replace them with AI – they just need to hire fewer, cheaper workers to supervise the AI and monitor it for "hallucinations." This is called the "human in the loop" solution.

The human in the loop story has some glaring holes. From a worker's perspective, serving as the human in the loop in a scheme that cuts wage bills through AI is a nightmare – the worst possible kind of automation.

Let's pause for a little detour through automation theory here. Automation can augment a worker. We can call this a "centaur" – the worker offloads a repetitive task, or one that requires a high degree of vigilance, or (worst of all) both. They're a human head on a robot body (hence "centaur"). Think of the sensor/vision system in your car that beeps if you activate your turn-signal while a car is in your blind spot. You're in charge, but you're getting a second opinion from the robot.

Likewise, consider an AI tool that double-checks a radiologist's diagnosis of your chest X-ray and suggests a second look when its assessment doesn't match the radiologist's. Again, the human is in charge, but the robot is serving as a backstop and helpmeet, using its inexhaustible robotic vigilance to augment human skill.

That's centaurs. They're the good automation. Then there's the bad automation: the reverse-centaur, when the human is used to augment the robot.

Amazon warehouse pickers stand in one place while robotic shelving units trundle up to them at speed; then, the haptic bracelets shackled around their wrists buzz at them, directing them pick up specific items and move them to a basket, while a third automation system penalizes them for taking toilet breaks or even just walking around and shaking out their limbs to avoid a repetitive strain injury. This is a robotic head using a human body – and destroying it in the process.

An AI-assisted radiologist processes fewer chest X-rays every day, costing their employer more, on top of the cost of the AI. That's not what AI companies are selling. They're offering hospitals the power to create reverse centaurs: radiologist-assisted AIs. That's what "human in the loop" means.

This is a problem for workers, but it's also a problem for their bosses (assuming those bosses actually care about correcting AI hallucinations, rather than providing a figleaf that lets them commit fraud or kill people and shift the blame to an unpunishable AI).

Humans are good at a lot of things, but they're not good at eternal, perfect vigilance. Writing code is hard, but performing code-review (where you check someone else's code for errors) is much harder – and it gets even harder if the code you're reviewing is usually fine, because this requires that you maintain your vigilance for something that only occurs at rare and unpredictable intervals:

https://twitter.com/qntm/status/1773779967521780169

But for a coding shop to make the cost of an AI pencil out, the human in the loop needs to be able to process a lot of AI-generated code. Replacing a human with an AI doesn't produce any savings if you need to hire two more humans to take turns doing close reads of the AI's code.

This is the fatal flaw in robo-taxi schemes. The "human in the loop" who is supposed to keep the murderbot from smashing into other cars, steering into oncoming traffic, or running down pedestrians isn't a driver, they're a driving instructor. This is a much harder job than being a driver, even when the student driver you're monitoring is a human, making human mistakes at human speed. It's even harder when the student driver is a robot, making errors at computer speed:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

This is why the doomed robo-taxi company Cruise had to deploy 1.5 skilled, high-paid human monitors to oversee each of its murderbots, while traditional taxis operate at a fraction of the cost with a single, precaratized, low-paid human driver:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

The vigilance problem is pretty fatal for the human-in-the-loop gambit, but there's another problem that is, if anything, even more fatal: the kinds of errors that AIs make.

Foundationally, AI is applied statistics. An AI company trains its AI by feeding it a lot of data about the real world. The program processes this data, looking for statistical correlations in that data, and makes a model of the world based on those correlations. A chatbot is a next-word-guessing program, and an AI "art" generator is a next-pixel-guessing program. They're drawing on billions of documents to find the most statistically likely way of finishing a sentence or a line of pixels in a bitmap:

https://dl.acm.org/doi/10.1145/3442188.3445922

This means that AI doesn't just make errors – it makes subtle errors, the kinds of errors that are the hardest for a human in the loop to spot, because they are the most statistically probable ways of being wrong. Sure, we notice the gross errors in AI output, like confidently claiming that a living human is dead:

https://www.tomsguide.com/opinion/according-to-chatgpt-im-dead

But the most common errors that AIs make are the ones we don't notice, because they're perfectly camouflaged as the truth. Think of the recurring AI programming error that inserts a call to a nonexistent library called "huggingface-cli," which is what the library would be called if developers reliably followed naming conventions. But due to a human inconsistency, the real library has a slightly different name. The fact that AIs repeatedly inserted references to the nonexistent library opened up a vulnerability – a security researcher created a (inert) malicious library with that name and tricked numerous companies into compiling it into their code because their human reviewers missed the chatbot's (statistically indistinguishable from the the truth) lie:

https://www.theregister.com/2024/03/28/ai_bots_hallucinate_software_packages/

For a driving instructor or a code reviewer overseeing a human subject, the majority of errors are comparatively easy to spot, because they're the kinds of errors that lead to inconsistent library naming – places where a human behaved erratically or irregularly. But when reality is irregular or erratic, the AI will make errors by presuming that things are statistically normal.

These are the hardest kinds of errors to spot. They couldn't be harder for a human to detect if they were specifically designed to go undetected. The human in the loop isn't just being asked to spot mistakes – they're being actively deceived. The AI isn't merely wrong, it's constructing a subtle "what's wrong with this picture"-style puzzle. Not just one such puzzle, either: millions of them, at speed, which must be solved by the human in the loop, who must remain perfectly vigilant for things that are, by definition, almost totally unnoticeable.

This is a special new torment for reverse centaurs – and a significant problem for AI companies hoping to accumulate and keep enough high-value, high-stakes customers on their books to weather the coming trough of disillusionment.

This is pretty grim, but it gets grimmer. AI companies have argued that they have a third line of business, a way to make money for their customers beyond automation's gifts to their payrolls: they claim that they can perform difficult scientific tasks at superhuman speed, producing billion-dollar insights (new materials, new drugs, new proteins) at unimaginable speed.

However, these claims – credulously amplified by the non-technical press – keep on shattering when they are tested by experts who understand the esoteric domains in which AI is said to have an unbeatable advantage. For example, Google claimed that its Deepmind AI had discovered "millions of new materials," "equivalent to nearly 800 years’ worth of knowledge," constituting "an order-of-magnitude expansion in stable materials known to humanity":

https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/

It was a hoax. When independent material scientists reviewed representative samples of these "new materials," they concluded that "no new materials have been discovered" and that not one of these materials was "credible, useful and novel":

https://www.404media.co/google-says-it-discovered-millions-of-new-materials-with-ai-human-researchers/

As Brian Merchant writes, AI claims are eerily similar to "smoke and mirrors" – the dazzling reality-distortion field thrown up by 17th century magic lantern technology, which millions of people ascribed wild capabilities to, thanks to the outlandish claims of the technology's promoters:

https://www.bloodinthemachine.com/p/ai-really-is-smoke-and-mirrors

The fact that we have a four-hundred-year-old name for this phenomenon, and yet we're still falling prey to it is frankly a little depressing. And, unlucky for us, it turns out that AI therapybots can't help us with this – rather, they're apt to literally convince us to kill ourselves:

https://www.vice.com/en/article/pkadgm/man-dies-by-suicide-after-talking-with-ai-chatbot-widow-says

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/2024/04/23/maximal-plausibility/#reverse-centaurs

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[zvaigzdelasas]

A few years ago, I noticed that a number of factories in China had started opening TikTok accounts and posting footage from their assembly lines. The videos offered a rare glimpse into global supply chains, and millions of Western TikTok users marveled at teddy bears being stuffed with polyester fiberfill, machines dipping gardening gloves into hot liquified nitrile rubber, and quality assurance testers seeing whether cheap cigarette lighters worked. (My friend and former colleague Andrew Deck wrote a great story about factory TikTok for Rest of World in 2021.)

Since then, hundreds of other Chinese factories have joined TikTok. Some of them produce industrial equipment that would never be bought by normal people, like dump trucks or bottle labeling machines. And while the older factory accounts were often created by marketing agencies, these newer ones seem to largely be the work of earnest salespeople trying to find new customers. Many of them are relying on AI translation and text-to-speech tools, making the videos unintentionally sound very funny.

One of these manufacturers is a company called Donghua Jinlong, which is headquartered in Hebei province about 200 miles from Beijing. It sells “high quality industrial grade glycine,” a type of nutritional additive that evidently sounds silly and abstract to people who never need to think about how processed food is made. Donghua Jinglong and its glycine have become a relatively big meme on TikTok, Instagram, and X over the last few days, and some of the company’s videos are getting over 100,000 views (even though its official account only has roughly 4,400 followers).

Donghua Jinlong itself, however, doesn’t seem to have any idea what’s going on. People in the comments keep begging it to make official merch, but the company doesn’t understand why anyone would want a sweatshirt or t-shirt with the name of an industrial manufacturer on it. Shitposters have also started referencing the Donghua Jinlong meme in the comments of videos from other Chinese factories.

A company called HengYuan, for example, posted a video of what can only be described as a machine for filling Tide Pods, and one of the top comments is someone asking “Could you pack food grade glycine in this?”

Clearly baffled, HengYuan responded, “No. This is used to pack detergent in PVA Film.”

The Donghua Jinlong meme is a great microcosm of what’s actually happening on TikTok when it comes to content from China. Some people might argue that Chinese manufacturers are choosing to post on the app because its parent company, ByteDance, is also from China. In other words, these factories could be held up as an example of TikTok allowing Chinese influence to grow in the US (albeit a bizarre one).

But Donghua Jinlong also has a Facebook page with even more followers, it’s just that no one is engaging with its posts there. That’s because there are likely very few people searching social media for a new glycine supplier at any given time. TikTok, however, doesn’t rely on users to actively seek out content, it serves videos to them via an algorithm. So now tons of random people are coming across glycine manufacturers and Tide Pod machines by accident, and they’re happily turning the whole thing into a joke.

I personally find these videos to be fascinating, both because It’s cool to learn how things are made, and because they provide the opportunity to watch in real time what happens when random Chinese companies come into contact with American social media users. I don’t think this is the type of Chinese influence lawmakers are imagining when they worry about TikTok, but it’s arguably much more interesting and human.

[becausegoodheroesdeservekidneys]

I'm an A-Level student and so many of my classmates use ChatGPT for essays in Law and RS and stuff - like, they sound proud of themselves, as if they're cheating the system and being clever? Just makes me feel very bleak. What are we doing man

Well, the unfortunate news for them is that they are going to struggle if they make it to uni.

This is the big problem with AI - it cannot analyse a single thing. If I were to say to you "What are the features Tumblr users would most want and why?", you are a human being with a brain and experiences and decision-making skills, and you could probably sit and come up with an answer. You would base that answer on things you personally find lacking, or want to see; you would also base it in things you have seen others bemoaning on the site.

For example, I reckon I'd say something like:

The permanent ability to boop people with a cat paw, which is implemented as opt-in. Also customisable, so you can choose whether you want a random cat paw to appear on your screen each time it happens to you. Also a different animation for super boop/evil boop, and maybe more boop options than those two, and maybe also different paw colours.

Actual enforcement of hate speech rules. We all agree to them when we join, so it's perfectly legal to delete someone for spouting Nazi shit AND YET.

No more banning or censoring queer folks' accounts

More ability to adjust the interface for disabled bloggers, e.g. colour and contrast, font, layout, switching off moving GIFs or other animations by default, etc.

Tag editing, it's frustrating having to delete whole tags.

Tag memory! Where have my tags gone??? For a year now I have slightly better luck on desktop, but for the most part, which of my tags are remembered by autofill and which are never, ever offered to me has been wholly divorced from how often I've used them. And my tags are often lengthy and odd, so it's become much harder to use mobile.

No data scraping. This is the anti-cap site thank you. Also on that note, get rid of the For You section and any other algorithmic tracking, because it's just as likely to show you a Nazi blog as an anti-Nazi one as long as you have spent any time at all discussing Nazism.

Better blocking ability, on that note.

Better search function

I could go on, but you get the idea. That's analysis that I've done, based on discussions I have seen and taken part in, and my own experiences.

I just asked ChatGPT. Here's what it had to say:

"Tumblr users have diverse preferences, but there are several features that many users would likely appreciate: 1. Improved Content Discovery: Tumblr is known for its vast array of content, so improving content discovery mechanisms such as personalized recommendations, trending topics, and enhanced search functionality can help users find more of the content they enjoy. 2. Enhanced Customization Options: Tumblr users value the ability to customize their blogs extensively. Providing more themes, layout options, and customization tools can empower users to express themselves creatively and make their blogs unique. 3. Integration of Multimedia Formats: Tumblr is a platform where users share various types of multimedia content, including images, GIFs, videos, and audio. Enhancing support for different media formats, improving media upload and management features, and optimizing the viewing experience can enhance user engagement. 4. Improved Mobile Experience: Many Tumblr users access the platform via mobile devices. Therefore, optimizing the mobile app for better performance, usability, and feature parity with the desktop version can greatly enhance the user experience. 5. Community Engagement Features: Tumblr has a vibrant community, so features that facilitate interaction among users, such as improved messaging, reblogging, tagging, and commenting functionalities, can foster a sense of community and increase user engagement. 6. Content Moderation Tools: Given the diverse content on Tumblr, providing users with robust content moderation tools, including options for filtering, blocking, and reporting inappropriate content, can help ensure a safer and more enjoyable experience for all users. 7. Monetization Options for Creators: Many Tumblr users are content creators who would appreciate opportunities to monetize their content. Introducing features such as ad revenue sharing, subscription-based content, or integrated e-commerce capabilities can incentivize creators to produce high-quality content and invest more in their Tumblr presence. 8. Accessibility Features: Improving accessibility features such as alt text support for images, screen reader compatibility, and customizable text sizes and color schemes can make Tumblr more inclusive and accessible to users with disabilities. 9. Privacy and Security Enhancements: Enhancing privacy controls, data protection measures, and account security features can help users feel more confident and secure when using the platform, which is especially important given concerns about online privacy and security. 10. API and Third-Party Integration: Opening up Tumblr's API and allowing for easier integration with third-party services and apps can encourage innovation and development within the Tumblr ecosystem, providing users with more options and flexibility in how they use the platform. Overall, focusing on improving content discovery, customization options, community engagement, and user safety while also providing opportunities for creators to monetize their content can help Tumblr retain and attract users in a competitive social media landscape."

It's possible that feels alright, on first glance. But take a closer look.

Every point made is vague, and disconnected from any real life examples. In the very first point, it thinks we want better search functions (yes!) but also more algorithmic recommendations (no!). It wants us to have personalised recommendations AND better security, in fact, which are incompatible - but an LLM doesn't and can't know that. Monetisation of the platform is something that has historically faced appalling backlash from users, and this thing is suggesting ad revenue sharing and subscription services.

Because, its suggestions are generic suggestions. These are not Tumblr-specific. No mention of queerphobia, no mention of Nazis, and absolutely zero understanding of what the specific users on this site actually want.

... all of which is to say...

It's what is academically known as descriptive work. It lays out some facts, but there's no depth, no analysis, no interpretation of those facts at all. Why would we want third party integration? What apps are we calling for? Give examples. Would that aid ad-blocking? Search functions? In that case, wouldn't third-party integration be tackling the symptoms and not the cause? Shouldn't we work better ad-blocking and search functions into Tumblr at a base level?

And in school - even up to A Level - that's okay. You won't get top marks for that, because it's all too vague and too descriptive, but it's fine. School-level assignments tend to be more broad and less applied, too, which LLMs fare better with.

But in university, you start with descriptive facts, and then you are expected to analyse. If you cannot analyse, you run a very real risk of failing. Which means if you've spent your GCSEs and A Levels not bothering to learn those analytical skills and letting ChatGPT do the work for you, you are going to face an extremely uphill struggle when the expectations of study increase.

So, to round off, try not to get too discouraged. You know you aren't doing it, which means you are the one actually learning and developing and growing. Others will learn eventually, and probably more painfully. You do you!

[olderthannetfic]

Confession: I don't really get the big deal about the lorefm drama as far as it saving fics elsewhere and not giving authors engagement. I just can't wrap my head around that being any different than if the app said to download the epub or PDF of the fic which would barely require you to interact with the author, too.

And as far as it being stored somewhere else... isn't that the same thing with an epub download? I've seen epub Google Docs of fics for a fandom I'm in to prevent against author deletion (which includes some deleted fics) and that interaction obviously doesn't go to the author either. Not to mention that someone can do this with a locked fic and share it outside the archive, too.

Like yeah the people behind it came off weird, and it's not that I'm a fan of making people download yet another app that seems entirely unnecessary, but that whole line of argument seemed really hollow to me.

(Also anyone who emailed them to opt out was just giving away their email for no reason based on the whole frenzy around it, which is also why adding superficial reasons why this app is supposed to be uniquely evil bothered me. No way this glorified text to speech AI bot would be able to recognize that a fic was written by user A and therefore not read it.)

--

It had all the hallmarks of an app that will monetize in some garbage way later, and they were clearly hoping to make a buck on other people's labor.

But no, there was nothing unusual or interesting here. Just the usual type of internet content mill cash grab.

[mariacallous]

If you’ve been on TikTok at any point in the past six months, chances are you’ve stumbled across them, as I first did during a fairly routine doomscroll one night this summer. For me it started with two videos somewhat incongruously tagged #homeremodeling and #housedesign. One of them featured a CGI man summoning a baby phoenix outside of a tree that he planned to turn into an apartment. Then a robotic AI voice started to narrate how the CGI man, identified as “Little John,” was going to build it. Over the next 90 seconds, Little John transformed the tree into a maniacally space-efficient luxury unit in an AI-generated ballet of flying galvanized square steel, ecofriendly wood veneer, and expansion screws.

The other video, featuring nearly identical CGI and the same hypnotically flat AI narrator, followed the story of a couple with a billion children that, like Little John, decided it was time to improve their home. And those two videos were only the tip of the galvanized steel iceberg.

There are hundreds of accounts posting these videos to TikTok right now, and they’ve become immensely popular, racking up millions of views. Even the “character” of Little John has become a meme of his own, with people making skits where they pretend to be him.

The videos struck me as a fascinating case study of how TikTok trends have evolved—or rather devolved—over time. What was once an app full of human beings making content in conversation with each other has become a dizzying world where irony and sincerity, memes and spam, blur together into a slurry of bizarre content no one is quite sure what to do with. As I set out to discover who was making these videos, I assumed that lifting the rock would reveal an even stranger world of broken social networks, AI content farms, and shady engagement hacks, wiggling just beneath the surface of the web. Which it did! But stranger still, in the end, it turned out these videos hadn’t become huge as a TikTok trend at all.

In 2022, an account popped up on TikTok called @​​designer_bob. From the start, it exclusively posted videos with a specific format: Some kind of weird domestic issue must be solved with extreme home renovation, the action animated in a surreal CGI style with a spunky stock music soundtrack. Within a month, the account had a viral hit: a video about designing a bedroom for four children, which has been viewed more than 10 million times.

Designer Bob’s formula proved perfect for TikTok’s algorithm, which is constantly analyzing, in microseconds, what catches your attention and recalibrating to what it thinks you want to watch. There’s a hypnotic quality to these videos. “The storyline is just fucked up enough to grab your attention early on,” says social media analyst Rachel Karten. And because there’s a process happening—a home renovation—the user can’t look away.

Once Designer Bob’s videos started going viral, hundreds of other accounts started posting similar content. One account called @dy02449xjp, which had been sharing clips from 2000s romcoms like The Proposal and Two Weeks Notice, switched over to weird home renovations in January 2024. That same month, one of their videos went exceptionally viral. It’s been watched more than 44 million times.

Along the way, the aesthetic and style of these videos started to change. The early viral renovation videos from Designer Bob were silly but could sometimes be mistaken for genuine design content. Newer videos were more ludicrous, the renovations more fantastical, their action narrated by a droning AI voice. That’s just the way TikTok’s remix culture works, says Alex Turvy, who studies digital culture.

“We’re going to see trends like this become more and more absurd until they burn out,” he says.

There’s even a spin-off meme specifically about “galvanized square steel,” to the point where some users have questioned whether the whole meme is a viral marketing campaign for galvanized steel.

“I think lore is a really good word to use here. Now the videos blow up and do well because there is lore around them,” Karten says. “Lore sustains virality.”

The more I watched these videos, the more desperate I was to understand who was making them. In the case of Designer Bob, the account bio links to an online candle and crystal store run by a company based in China called Whisper Wisp. And the ​​Designer Bob Facebook page lists Hong Kong as a base on the Page Transparency section. Still, it seems unlikely this is a covert marketing campaign for a candle shop. None of Whisper Wisp’s social channels are nearly as popular as the Designer Bob account. (Whisper Wisp didn’t respond to any of my messages.)

Details about who’s behind the Dy02449xjp account are even more scarce. There is a Facebook page with the same username sharing the same videos. Beyond that, nothing. No other connected accounts, no storefronts or identifying information. If there’s a scam or an upsell coming, it hasn’t dropped yet. For now, at least, Dy02449xjp appears to be pursuing TikTok engagement for its own sake.

Many of these accounts use some variation of the name “Home Designs” and similar logos of a small house, which strongly resemble the branding of an architecture and interior design program called HomeDesignsAI—a major clue, I thought, toward solving the mystery. I was able to track down HomeDesignsAI’s COO and cofounder, Denis Madroane. But he was just as confused as everyone else about how popular these renovation TikToks have become.

HomeDesignsAI is a Romania-based startup that launched in 2023. The app allows users to upload a photo of a room or floor plan and transform it using AI. Madroane says he started seeing TikToks that used HomeDesignsAI last year. He says he and his team thought they were pretty funny—but they’re not seeing much upside.

Madroane confirmed that Home-DesignsAI does have a TikTok account, though it doesn’t really participate in the memes. It has a little under 900 followers, and its biggest video has around 195,000 views. Which seems fine—until you compare it to the unofficial Home-DesignsAI accounts on TikTok. The biggest one, @homedesign369, has 2.4 million followers and is consistently getting millions of views per video.

“Our official account is severely underperforming compared to the numbers averaged by user-generated content,” Madroane concedes.

But as it turns out, none of the most viral Little John TikToks were made using HomeDesignsAI software. So, mystery unsolved. And before this summer, no one on TikTok seemed to know where these videos were coming from. That is, until Candise Lin, a Cantonese and Mandarin tutor based in the US, noticed the trend going viral and revealed the missing piece of the puzzle—at least for confused Americans—in a TikTok video of her own.

It turns out we haven’t actually been watching videos made by TikTok users. They’re coming from a completely different app. As Lin explains, these videos come from Bilibili, China’s closest equivalent to YouTube. On Bilibili, Little John is known as 大壮, or Big John. “Galvanized steel” is even a trending search term. According to Lin, there are two Bilibili users known for creating this kind of content, an account called 疯狂设计家, or Crazy Designer, and another called 设计师王姨, or Designer Aunt Wang. I was able to find dozens of other accounts, as well.

The unhinged home renovation videos on TikTok are machine-translated versions of videos from Bilibili. Chinese content makes the jump across the Great Firewall like this fairly often. Videos downloaded from TikTok’s sister app Douyin are a regular presence on TikTok. But the fact that these were not made for English-speaking audiences would explain the robotic narrator, bizarre syntax, and Chinese iconography seen throughout.

After digging through Crazy Designer’s videos, I was able to find one of the videos I had come across on TikTok back in June, about a couple designing a house for a billion children. Crazy Designer titled it “One Billion Children per Room,” and it’s part of a series, all with titles like “A Million Children per Room,” “Two Million Children per Room,” and so on. After watching it on Bilibili and reading the comments underneath it, I started to realize what these videos are: They’re shitposts. This jaundiced real-estate porn is meant to satirize the housing crunch in cities like Hong Kong and Shanghai, and the commenters are all in on the joke.

In the end, it appears there isn’t any kind of scam or engineered marketing stunt here after all. It’s just two cultures laughing at the same uncanny user-generated content, filtered through some perfunctory layers of AI translation and lost context. And according to Lin, Bilibili users are now aware of how popular Little John videos have become in the West. They’re mortified that Americans are watching.

[aidoubackster]

Twitter's ToS update summary

It's a bit of a long post, but there's also spacing and it's divided in sections. There's a TL;DR at the end. Recently (around the 17th of October of 2024) Twitter has changed its Terms of Service (ToS) and announced a change in how the blocking feature will work now. Updating and changing a platform's ToS is normal; the problem comes from what changed, specially for users from outside the European Union, in regards of how the content they upload on Twitter can be used. By using the platform you agree that your content can be used to train Twitter's AI and there's no way of opting out. For now, any Twitter's users in Europe are safe of their content automatically being used as data training for AI due to data protection laws. This article explains the situation better and links to Twitter's current and coming ToS: https://www.socialmediatoday.com/news/x-formerly-twitter-updates-terms-service/730223/

But there's also another update, about the blocking feature. "Soon we’ll be launching a change to how the block function works. If your posts are set to public, accounts you have blocked will be able to view them, but they will not be able to engage (like, reply, repost, etc.)." From here: https://x.com/XEng/status/1846605254864888180 or see it from a Twitter front-end like Nitter to see the full thread and replies without having a Twitter account: https://nitter.poast.org/XEng/status/1846605254864888180 This makes it easier to stalk someone, it makes impossible for NSFW accounts to block minors and it raises questions about what use has now blocking. If I block a user does that mean that the algorithm will show me their posts too?

If these changes are not something you want, you might be considering changing platforms. But there are some things to consider or plan before doing it:

An alternative to Twitter (in the format sense) can be Bluesky or Mastodon. There are more but these two seem to be the most popular ones so they will have more users to interact with.

If you plan to migrate, it's better to not abandon and delete your Twitter account immediately or even delete it at all. Instead, announce your decision and give a chance to your followers to follow you again on the new platform.

Also pin a post on Twitter saying why you left. By declaring why are you leaving there's record of why the platform is losing traffic and engagement (losing money for the business and investors), so it's something that it might be noted in future and get reversed.

Before leaving, due to the new changes on the blocking feature, you can report the app on the Google Store and possibly the Apple Store. This user explains how to do it on the Google Store: https://nitter.poast.org/RepinWolf/status/1846802988318224876

You can always use a RSS feed to check accounts on Twitter or other social media without making an account to subscribe or follow the user. Feeder is a good RSS feed aggregator app for mobile

Consider what you want to delete. Maybe key content or maybe mostly everything (besides the statement and "Where can you find me" posts).

There are scripts and apps that help you mass delete tweets, replies and remove likes. Note: I am linking two of each that seem good and are free, but I haven't been able to confirm if they are 100% trustworthy. Proceed at your own risk and investigate further before trying them: Scripts to delete Tweets and more:

https://github.com/lucahammer/tweetXer

https://github.com/Lyfhael/DeleteTweets Apps that delete Tweets with a free plan available (with limitations!)

CircleBloom: https://circleboom.com/twitter-management-tool/plans-and-pricing

Redact: https://redact.dev/pricing

TL;DR: There are two main changes in Twitter as of the 17th of October of 2024. By using the platform you agree that your content can be used to train Twitter's AI and there's no way of opting out, except for European users. The blocking feature will change. Users that you block will still be able to see your content. If you want to leave Twitter, there are alternatives like Mastodon or Bluesky. It's also good to not do it right away; instead, let your followers know that you are leaving, make a pined post saying why you left and other places to find you. Also consider what you want to delete (so the AI doesn't have training material). There are scripts and apps that can mass delete your account's content for free. This post is a summary from another post, (that can be found here), without the screenshot and extra information. The wonderful star dividers are done by @enchanthings

[hiddenobservationsplat]

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1022232812062402210730 1022232812062402210730 1022232812062402210730 microchip oh phone

[woxihuanchijidan]

H O U S E K E E P I N G

Greetings, and welcome to my tumblr blog.

You may call me Egg or Bao. Some basic things to know about me are that I am adopted and Chinese, I was born in China and although I was raised in the states, I do not feel any ties to the USA, and I do not consider the USA my "home." I attempted to learn mandarin on my own through an app because I wanted to feel closer to my culture. However, due to being very busy, I don't always remember to practice. I am also nonbinary, pronouns they/them/theirs. My partner is Jewish and Cherokee and I love her very much. She is more active on here than I am.

I do have a degree, in which I also double minored in anthropology and communication. I spend most of my free-time playing video games and, when I have energy, I engage in the Big Art™. But I seldom post anymore because of all the AI bullshit happening.

Furthermore, this blog is, as with most others, for my own enjoyment and education/exposure etc. and if you attempt to purposefully disrupt the peace, I'm just gonna block you because I don't have time to deal with people who can't respect that.

Some rapid facts about me:

I love Bloodhound from Apex Legends and have been playing Apex since it came out, since pre-season

I love randomly watching tech videos because I like learning about it even if it isn't always directly applicable to my life at that moment

I love Riverdance, very formative part of my childhood, and I saw them in person last year and it was so fucking EPIC!!!!

I have developed a hyperfixation on DBD and am a Nicolas Cage main so there's that

I like learning, and due to recent world events, I have learned more about Jewish culture and traditions, much credit to my partner who has been willing to have many endless discussions with me.

0 Tolerance Policy for:

Racism

Homophobia/Transphobia etc

Antisemetic bullshit! I'll even provide you some screenshots of a non-exhaustive list by another Tumblr user to help you because I'm nice, see blow images: (OP is user imnotwhiteimjewish)

Not respecting my peace (I don't mind blocking people lmao)

My own thoughts/rants/vents etc random shit will be under #bao thoughts ♡

If you have any questions send an ask.

Alright, see ya later if you stick around ♡

[dogfags]

why does all social media fucking suck now. tumblr is the best one left but even it sucks bc can't post nsfw. instagram is becoming facebook 2.0 and riddled with bullshit ai features + have you SEEN an instagram reels comment section before cos holy shit. it's like nazi germany over there. tiktok was always horrible and only gets worse and I refuse to download it again. twitter is a cesspool of right wing incel alpha male tech bros talking nonsense and get u banned for the word cis. also refuse to download that app again. reddit doesn't even count as social media to me but I will not become a reddit user™. like idk I used to go Online and Have Fun and now it's just garbage. 200 million ads per second blasted in ur face + ai bullshit features and "art" and fake ai generated posts + rage bait for engagement + recycling of shitty 15 year old tweets with someone's face in the corner "reacting" to it as "content" + mass banning and deplatforming of minorities / anybody speaking out about gaza or any important social issues + constant stream of bigots yammering on their huge platforms that are pushed by the algorithm so I have to see their disgusting bullshit takes on my feed. it's all. shit. I want to just delete it all sometimes but I'm also addicted to my phone and I'd miss the gay people in it. idk. I only even use Tumblr and Instagram nowadays. I have Facebook but only for like family and irl friends. I need to stop watching ig reels tho I can feel it melting my brain matter and it is oozing out of my ears. I need like a social media detox. it's a real problem I have. I need to touch more grass

[collapsedsquid]

Over the summer, the ChatGPT-powered platform Janitor AI burst onto the scene, its sudden popularity fueled by TikTok videos and Reddit posts of people engaging in sexual roleplay with the platform’s plethora of user-generated bot personalities. The fictionalized personas range from handsome anime crushes to busty furry characters. Users create elaborate prompts directing how the bots should behave. One made-up personality is Arius, a “quiet ghost” from the 1800s who will only tell you how he died if you are his lover. He dislikes hell, ouija boards, and meth, and likes being around you because it “makes him feel alive again.” “‘You’re so fucking hot,’ he muttered, kissing along her neck again,” reads one conversation with a “himbo werewolf boyfriend” named Milo Grayson. “I could fill you with my seed again and again.”