#Store AI

[mereviews44]

Unlocking the Power of AI for E-commerce Success: Store AI Review

Introduction

In today's rapidly evolving digital landscape, the e-commerce industry is experiencing unprecedented growth, with a staggering worth of $6.3 billion. Entrepreneurs and marketers are eager to claim their share of this lucrative market, but the process of creating and managing successful online stores can be challenging, requiring technical skills, design expertise, and effective marketing strategies. However, a groundbreaking solution has emerged – Store AI, the first-to-market AI app powered by Google Bard 5.9. This revolutionary platform instantly creates and publishes unlimited AI web stores, Android store apps, and iOS store apps, allowing users to tap into the vast potential of the $78 billion Android industry and the $240 billion iOS industry.

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Store AI Overview

Vendor:Clicks Botz

Product:Store AI

Launch Date: 2023-Jul-18

Launch Time: 11:00 EDT

Front-End Price: $17

Niche : software

Support: Effective support

Refund: 30-Day Money Back Guarantee

Recommendation: Highly Recommended!

Official Website: Click here

Bonuses: Me Reviews Exclusive Bonuses (view only)

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Simplifying E-commerce with Artificial Intelligence

Store AI simplifies the e-commerce process by providing users with the ability to create premium e-commerce stores for different devices and languages with just a click. The platform eliminates the need for prior tech skills, designing knowledge, or marketing expertise, making it accessible to everyone. With Store AI, entrepreneurs can maximize their affiliate commissions by promoting unlimited trending products from leading e-commerce platforms such as Amazon, Ali Express, eBay, and more.

Breaking Free from Third-Party Dependency

One of the standout features of Store AI is its ability to create premium e-commerce stores that achieve high rankings on Google without relying on third-party platforms. Users can say goodbye to age-old stores that fail to gain attention and instead let artificial intelligence handle everything, from product selection to search engine optimization. This ensures that their stores attract hordes of targeted traffic and generate passive affiliate commissions.

The Three-Step Process to Success

Store AI's user-friendly interface and intuitive three-step process make it easy for anyone to create profitable e-commerce stores using artificial intelligence:

Step 1:

 Log In – Users simply log in to the Store AI platform and provide the required details without any restrictions.

Step 2: 

Give Commands – By entering a few commands, users can let the AI technology create their first store with top products in just a few clicks. The AI algorithm ensures that trending products are selected, allowing users to capitalize on current market demands.

Step 3: 

Publish & Profit – Once the store is created, users can start selling top trending products to a global audience and begin profiting immediately. Store AI automates the entire process, freeing up time for users to focus on growing their business without the hassle of manual work or hiring expensive freelancers.

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Unleashing the Potential of Store AI

By combining AI technology, e-commerce, and affiliate marketing, Store AI empowers users to dominate their competition and attract a massive customer base. The growing worth of the e-commerce industry further emphasizes the importance of leveraging tools like Store AI. With projections indicating that 24% of retail purchases will take place online by 2026, and e-commerce sales expected to grow by 10.4% in 2024, the potential for success in this industry is immense.

Pros of Store AI:

Easy to Use: 

Store AI is designed to be user-friendly, allowing both newcomers and experienced users to create e-commerce stores without prior technical skills or design experience.

Cost-effective: 

By using Store AI, users can save over $5,000 annually by eliminating the need for expensive third-party platforms. This all-in-one solution provides everything necessary to create successful e-commerce stores at a fraction of the cost.

Maximum Exposure: 

With Store AI, users can gain more exposure for their offers and dominate their competition. The AI-powered technology optimizes stores for search engines, driving organic traffic and boosting rankings.

Expert Guidance and Support: 

Store AI offers premium 24/7 expert guidance and support, ensuring that users receive the assistance they need throughout their journey.

Money-Back Guarantee:

 Store AI is backed by a 30-day money-back guarantee, providing users with peace of mind. If they are not satisfied with their purchase, they can request a refund and receive their money back promptly.

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Cons of Store AI:

Reliance on AI: 

While Store AI automates many processes, users need to trust the AI algorithm to select trending products and optimize their stores. There may be instances where human intervention or customization is desired.

Limited Customization: 

As an AI-driven platform, Store AI may have limitations in terms of customizing the store's appearance and layout. Users who require extensive customization options may find it restrictive.

Don't Miss Out on the Store AI Advantage

In conclusion, Store AI is a game-changer in the e-commerce industry, simplifying the process of creating profitable e-commerce stores, Android store apps, and iOS store apps. With its user-friendly interface, advanced AI technology, and proven success in any niche, Store AI empowers entrepreneurs and marketers to tap into the multi-trillion dollar e-commerce industry and achieve maximum results. Seize the opportunity to dominate your competition and take your business to new heights with Store AI.

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[searchsystem]

Benjamin Benichou / Concept Store, Kyoto / Rendering (AI) / 2023

[mostlysignssomeportents]

An Epic antitrust loss for Google

A jury just found Google guilty on all counts of antitrust violations stemming from its dispute with Epic, maker of Fortnite, which brought a variety of claims related to how Google runs its app marketplace. This is huge:

https://www.nytimes.com/2023/12/11/technology/epic-games-google-antitrust-ruling.html

The mobile app store world is a duopoly run by Google and Apple. Both use a variety of tactics to prevent their customers from installing third party app stores, which funnels all app makers into their own app stores. Those app stores cream an eye-popping 30% off every purchase made in an app.

This is a shocking amount to charge for payment processing. The payments sector is incredibly monopolized and notorious for its price-gouging – and its standard (wildly inflated) rate is 2-5%:

https://pluralistic.net/2023/08/04/owning-the-libs/#swiper-no-swiping

Now, in theory, Epic doesn't have to sell in Google Play, the official Android app store. Unlike Apple's iOS, Android permit both sideloading (installing an app directly without using an app store) and configuring your device to use a different app store. In practice, Google uses a variety of anticompetitive tricks to prevent these app stores from springing up and to dissuade Android users from sideloading. Proving that Google's actions – like paying Activision $360m as part of "Project Hug" (no, really!) – were intended to prevent new app storesfrom springing up was a big lift for Epic. But they managed it, in large part thanks to Google's own internal communications, wherein executives admitted that this was exactly why Project Hug existed. This is part of a pattern with Big Tech antitrust: many of the charges are theoretically very hard to make stick, but because the companies put their evil plans in writing (think of the fraudulent crypto exchange FTX, whose top execs all conferred in a groupchat called "Wirefraud"), Big Tech keeps losing in court:

https://pluralistic.net/2023/09/03/big-tech-cant-stop-telling-on-itself/

Now, I do like to dunk on Big Tech for this kind of thing, because it's objectively funny and because the companies make so many unforced errors. But in an important sense, this kind of written record is impossible to avoid. Any large institution can only make and enact policy through administrative systems, and those systems leave behind a paper-trail: memos, meeting minutes, etc. Yes, we all know that quote from The Wire: "Is you taking notes on a fucking criminal conspiracy?" But inevitably, any ambitious conspiracy can only exist if someone is taking notes.

What's more, any large conspiracy involving lots of parties will inevitably produce leaks. Think of this as the corollary to the idea that the moon landing can't be a hoax, because there's no way 400,000 co-conspirators could keep the secret. Big Tech's conspiracies required hundreds or even thousands of collaborators to keep their mouths shut, and eventually someone blabs:

https://www.science.org/content/article/fake-moon-landing-you-d-need-400000-conspirators

This is part of a wave of antitrust cases being brought against the tech giants. As Matt Stoller writes, the guilty-on-all-counts jury verdict will leak into current and future actions. Remember, Google spent much of this year in court fighting the DoJ, who argued that the company bribed Apple not to make a competing search engine, paying tens of billions every year to keep a competitor from emerging. Now that a jury has convinced Google of doing that to prevent alternative app stores from emerging, claims that it used these pay-for-delay tactics in other sectros get a lot more credible:

https://www.thebignewsletter.com/p/boom-google-loses-antitrust-case

On that note: what about Apple? Epic brought a very similar case against Apple and lost. Both Apple and Epic are appealing that case to the Supreme Court, and now that Google has been convicted in a similar case, it might prompt the Supremes to weigh in and resolve the seeming inconsistencies in the interpretation of federal law.

This is a key moment in the long project to wrest antitrust away from the pro-monopoly side, who spent decades "training" judges to produce verdicts that run counter to the plain language of America's antitrust law:

https://pluralistic.net/2021/08/13/post-bork-era/#manne-down

There's 40 years' worth of bad precedent to overturn. The good news is that we've got the law on our side. Literally, the wording of the laws and the records of the Congressional debate leading to their passage, all militate towards the (incredibly obvious) conclusion that the purpose of anti-monopoly law is to fight monopoly, not defend it:

https://pluralistic.net/2023/04/14/aiming-at-dollars/#not-men

It's amazing to realize that we got into this monopoly quagmire because judges just literally refused to enforce the law. That's what makes one part of the jury verdict against Google so exciting: the jury found that Google's insistence that Play Store sellers use its payment processor was an act of illegal tying. Today, "tying" is an obscure legal theory, but few doctrines would be more useful in disenshittifying the internet. A company is guilty of illegal tying when it forces you to use unrelated products or services as a condition of using the product you actually want. The abandonment of tying led to a host of horribles, from printer companies forcing you to buy ink at $10,000/gallon to Livenation forcing venues to sell tickets through its Ticketmaster subsidiary.

The next phase of this comes when the judge decides on the penalty. Epic doesn't want cash damages – it wants the judge to order Google to fulfill its promise of "an open, competitive Android ecosystem for all users and industry participants." They've asked the judge to order Google to facilitate third-party app stores, and to separate app stores from payment processors. As Stoller puts it, they want to "crush Google’s control over Android":

https://www.epicgames.com/site/en-US/news/epic-v-google-trial-verdict-a-win-for-all-developers

Google has sworn to appeal, surprising no one. The Times's expert says that they will have a tough time winning, given how clear the verdict was. Whatever this means for Google and Android, it means a lot for a future free from monopolies.

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/2023/12/12/im-feeling-lucky/#hugger-mugger

[kaiyastarz]

Living my life like its golden

[shalom-iamcominghome]

What I like a lot about judaism is... It can wait. It can wait. Especially on shabbos it's just... You can wait. Life can wait a bit.

And that's really nice in a world that moves at a breakneck speed, demands you move with or be left behind. I've always been left behind because it's hard to keep up, but I find that I can actually just... Let things happen when it comes to judaism. You think a people, a religion that's thousands of years old doesn't have time for you, or wouldn't be willing to wait for you? I doubt that you'll be left behind, truly.

[holyfrenchfrog]

DO *NOT* LET ME LISTEN TO SONGS DEDICATED TO DOGS I *WILL* CRY ABOUT A PNG OF A GOLDEN RETRIEVER

[aiscapades]

m5 as items from the antique store!

kuras — shorthand guide + magnolia pages

vere — a rather suspicious book...

mhin — hanging swan sign

leander — green & gold glass

ais — book about birds!

[shijiujun]

Poor Eddie having been disappointed for FOUR YEARS on their shared birthday ༼☯﹏☯༽

KISEKI DEAR TO ME (2023) | EP 04

[mereviews44]

Store Ai Review/Demo

[dixoterin]

Shop now live from 7.10 - 7.31 !!

>>[LINK]<<

(reblogs appreciated <3)

Hello. I'm back by popular demand of the merch making demon voices in my head. and also the gorgeous oomfs !!

i have a discount code available!!! please use "ANIMEPLASTIC" for 15% off your order of >$30!!

(Some of) My ninjago pair up charms are up again for preorder so please snag them if you haven't gotten the chance yet!! Sorry my plans are so sporadic but i really do make split second decisions at times and then get way too deep into them until i can't back out ^__^;;

But yes. I have a lot of fun shakers for u guys because i am the bearer of the "but it would be so funny" curse. i hope you guys are entertained <3

and one last THANK YOU!!!! I'M NERVOUS AS HELL!!!! BUT HERE WE ARE!!! THANKS FOR YOUR COURAGE AND SUPPORT AND HYPE!!! i really don't know if i would've been able to muster up the courage if it wasn't for all of your "i need this bad"s and "i'm putting them in my mouth"s. theyre all very appreciated. but please dont actually eat them and don't sue me if you choke and die ok.

and bonus sneak peak manu sample proofs for u guys who cared to read this far! ty team :'3c

[twptwp]

Oh

[osteochondraldefect]

Can't remember my name, but can you tell me who I am?

[mostlysignssomeportents]

Tiktok's enshittification

Here is how platforms die: first, they are good to their users; then they abuse their users to make things better for their business customers; finally, they abuse those business customers to claw back all the value for themselves. Then, they die.

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/2023/01/21/potemkin-ai/#hey-guys

I call this enshittification, and it is a seemingly inevitable consequence arising from the combination of the ease of changing how a platform allocates value, combined with the nature of a “two sided market,” where a platform sits between buyers and sellers, hold each hostage to the other, raking off an ever-larger share of the value that passes between them.

When a platform starts, it needs users, so it makes itself valuable to users. Think of Amazon: for many years, it operated at a loss, using its access to the capital markets to subsidize everything you bought. It sold goods below cost and shipped them below cost. It operated a clean and useful search. If you searched for a product, Amazon tried its damndest to put it at the top of the search results.

This was a hell of a good deal for Amazon’s customers. Lots of us piled in, and lots of brick-and-mortar retailers withered and died, making it hard to go elsewhere. Amazon sold us ebooks and audiobooks that were permanently locked to its platform with DRM, so that every dollar we spent on media was a dollar we’d have to give up if we deleted Amazon and its apps. And Amazon sold us Prime, getting us to pre-pay for a year’s worth of shipping. Prime customers start their shopping on Amazon, and 90% of the time, they don’t search anywhere else.

That tempted in lots of business customers — Marketplace sellers who turned Amazon into the “everything store” it had promised from the beginning. As these sellers piled in, Amazon shifted to subsidizing suppliers. Kindle and Audible creators got generous packages. Marketplace sellers reached huge audiences and Amazon took low commissions from them.

This strategy meant that it became progressively harder for shoppers to find things anywhere except Amazon, which meant that they only searched on Amazon, which meant that sellers had to sell on Amazon.

That’s when Amazon started to harvest the surplus from its business customers and send it to Amazon’s shareholders. Today, Marketplace sellers are handing 45%+ of the sale price to Amazon in junk fees. The company’s $31b “advertising” program is really a payola scheme that pits sellers against each other, forcing them to bid on the chance to be at the top of your search.

Searching Amazon doesn’t produce a list of the products that most closely match your search, it brings up a list of products whose sellers have paid the most to be at the top of that search. Those fees are built into the cost you pay for the product, and Amazon’s “Most Favored Nation” requirement sellers means that they can’t sell more cheaply elsewhere, so Amazon has driven prices at every retailer.

Search Amazon for “cat beds” and the entire first screen is ads, including ads for products Amazon cloned from its own sellers, putting them out of business (third parties have to pay 45% in junk fees to Amazon, but Amazon doesn’t charge itself these fees). All told, the first five screens of results for “cat bed” are 50% ads.

https://pluralistic.net/2022/11/28/enshittification/#relentless-payola

This is enshittification: surpluses are first directed to users; then, once they’re locked in, surpluses go to suppliers; then once they’re locked in, the surplus is handed to shareholders and the platform becomes a useless pile of shit. From mobile app stores to Steam, from Facebook to Twitter, this is the enshittification lifecycle.

This is why — as Cat Valente wrote in her magesterial pre-Christmas essay — platforms like Prodigy transformed themselves overnight, from a place where you went for social connection to a place where you were expected to “stop talking to each other and start buying things”:

https://catvalente.substack.com/p/stop-talking-to-each-other-and-start

This shell-game with surpluses is what happened to Facebook. First, Facebook was good to you: it showed you the things the people you loved and cared about had to say. This created a kind of mutual hostage-taking: once a critical mass of people you cared about were on Facebook, it became effectively impossible to leave, because you’d have to convince all of them to leave too, and agree on where to go. You may love your friends, but half the time you can’t agree on what movie to see and where to go for dinner. Forget it.

Then, it started to cram your feed full of posts from accounts you didn’t follow. At first, it was media companies, who Facebook preferentially crammed down its users’ throats so that they would click on articles and send traffic to newspapers, magazines and blogs.

Then, once those publications were dependent on Facebook for their traffic, it dialed down their traffic. First, it choked off traffic to publications that used Facebook to run excerpts with links to their own sites, as a way of driving publications into supplying fulltext feeds inside Facebook’s walled garden.

This made publications truly dependent on Facebook — their readers no longer visited the publications’ websites, they just tuned into them on Facebook. The publications were hostage to those readers, who were hostage to each other. Facebook stopped showing readers the articles publications ran, tuning The Algorithm to suppress posts from publications unless they paid to “boost” their articles to the readers who had explicitly subscribed to them and asked Facebook to put them in their feeds.

Now, Facebook started to cram more ads into the feed, mixing payola from people you wanted to hear from with payola from strangers who wanted to commandeer your eyeballs. It gave those advertisers a great deal, charging a pittance to target their ads based on the dossiers of nonconsensually harvested personal data they’d stolen from you.

Sellers became dependent on Facebook, too, unable to carry on business without access to those targeted pitches. That was Facebook’s cue to jack up ad prices, stop worrying so much about ad fraud, and to collude with Google to rig the ad market through an illegal program called Jedi Blue:

https://en.wikipedia.org/wiki/Jedi_Blue

Today, Facebook is terminally enshittified, a terrible place to be whether you’re a user, a media company, or an advertiser. It’s a company that deliberately demolished a huge fraction of the publishers it relied on, defrauding them into a “pivot to video” based on false claims of the popularity of video among Facebook users. Companies threw billions into the pivot, but the viewers never materialized, and media outlets folded in droves:

https://slate.com/technology/2018/10/facebook-online-video-pivot-metrics-false.html

But Facebook has a new pitch. It claims to be called Meta, and it has demanded that we live out the rest of our days as legless, sexless, heavily surveilled low-poly cartoon characters.

It has promised companies that make apps for this metaverse that it won’t rug them the way it did the publishers on the old Facebook. It remains to be seen whether they’ll get any takers. As Mark Zuckerberg once candidly confessed to a peer, marvelling at all of his fellow Harvard students who sent their personal information to his new website “TheFacebook”:

> I don’t know why.

> They “trust me”

> Dumb fucks.

https://doctorow.medium.com/metaverse-means-pivot-to-video-adbe09319038

Once you understand the enshittification pattern, a lot of the platform mysteries solve themselves. Think of the SEO market, or the whole energetic world of online creators who spend endless hours engaged in useless platform Kremlinology, hoping to locate the algorithmic tripwires, which, if crossed, doom the creative works they pour their money, time and energy into:

https://pluralistic.net/2022/04/11/coercion-v-cooperation/#the-machine-is-listening

Working for the platform can be like working for a boss who takes money out of every paycheck for all the rules you broke, but who won’t tell you what those rules are because if he told you that, then you’d figure out how to break those rules without him noticing and docking your pay. Content moderation is the only domain where security through obscurity is considered a best practice:

https://doctorow.medium.com/como-is-infosec-307f87004563

The situation is so dire that organizations like Tracking Exposed have enlisted an human army of volunteers and a robot army of headless browsers to try to unwind the logic behind the arbitrary machine judgments of The Algorithm, both to give users the option to tune the recommendations they receive, and to help creators avoid the wage theft that comes from being shadow banned:

https://www.eff.org/deeplinks/2022/05/tracking-exposed-demanding-gods-explain-themselves

But what if there is no underlying logic? Or, more to the point, what if the logic shifts based on the platform’s priorities? If you go down to the midway at your county fair, you’ll spot some poor sucker walking around all day with a giant teddy bear that they won by throwing three balls in a peach basket.

The peach-basket is a rigged game. The carny can use a hidden switch to force the balls to bounce out of the basket. No one wins a giant teddy bear unless the carny wants them to win it. Why did the carny let the sucker win the giant teddy bear? So that he’d carry it around all day, convincing other suckers to put down five bucks for their chance to win one:

https://boingboing.net/2006/08/27/rigged-carny-game.html

The carny allocated a giant teddy bear to that poor sucker the way that platforms allocate surpluses to key performers — as a convincer in a “Big Store” con, a way to rope in other suckers who’ll make content for the platform, anchoring themselves and their audiences to it.

Which brings me to Tiktok. Tiktok is many different things, including “a free Adobe Premiere for teenagers that live on their phones.”

https://www.garbageday.email/p/the-fragments-of-media-you-consume

But what made it such a success early on was the power of its recommendation system. From the start, Tiktok was really, really good at recommending things to its users. Eerily good:

https://www.npr.org/transcripts/1093882880

By making good-faith recommendations of things it thought its users would like, Tiktok built a mass audience, larger than many thought possible, given the death grip of its competitors, like Youtube and Instagram. Now that Tiktok has the audience, it is consolidating its gains and seeking to lure away the media companies and creators who are still stubbornly attached to Youtube and Insta.

Yesterday, Forbes’s Emily Baker-White broke a fantastic story about how that actually works inside of Bytedance, Tiktok’s parent company, citing multiple internal sources, revealing the existence of a “heating tool” that Tiktok employees use push videos from select accounts into millions of viewers’ feeds:

https://www.forbes.com/sites/emilybaker-white/2023/01/20/tiktoks-secret-heating-button-can-make-anyone-go-viral/

These videos go into Tiktok users’ ForYou feeds, which Tiktok misleadingly describes as being populated by videos “ranked by an algorithm that predicts your interests based on your behavior in the app.” In reality, For You is only sometimes composed of videos that Tiktok thinks will add value to your experience — the rest of the time, it’s full of videos that Tiktok has inserted in order to make creators think that Tiktok is a great place to reach an audience.

“Sources told Forbes that TikTok has often used heating to court influencers and brands, enticing them into partnerships by inflating their videos’ view count. This suggests that heating has potentially benefitted some influencers and brands — those with whom TikTok has sought business relationships — at the expense of others with whom it has not.”

In other words, Tiktok is handing out giant teddy bears.

But Tiktok is not in the business of giving away giant teddy bears. Tiktok, for all that its origins are in the quasi-capitalist Chinese economy, is just another paperclip-maximizing artificial colony organism that treats human beings as inconvenient gut flora. Tiktok is only going to funnel free attention to the people it wants to entrap until they are entrapped, then it will withdraw that attention and begin to monetize it.

“Monetize” is a terrible word that tacitly admits that there is no such thing as an “Attention Economy.” You can’t use attention as a medium of exchange. You can’t use it as a store of value. You can’t use it as a unit of account. Attention is like cryptocurrency: a worthless token that is only valuable to the extent that you can trick or coerce someone into parting with “fiat” currency in exchange for it. You have to “monetize” it — that is, you have to exchange the fake money for real money.

In the case of cryptos, the main monetization strategy was deception-based. Exchanges and “projects” handed out a bunch of giant teddy-bears, creating an army of true-believer Judas goats who convinced their peers to hand the carny their money and try to get some balls into the peach-basket themselves.

But deception only produces so much “liquidity provision.” Eventually, you run out of suckers. To get lots of people to try the ball-toss, you need coercion, not persuasion. Think of how US companies ended the defined benefits pension that guaranteed you a dignified retirement, replacing it with market-based 401(k) pensions that forced you to gamble your savings in a rigged casino, making you the sucker at the table, ripe for the picking:

https://pluralistic.net/2020/07/25/derechos-humanos/#are-there-no-poorhouses

Early crypto liquidity came from ransomware. The existence of a pool of desperate, panicked companies and individuals whose data had been stolen by criminals created a baseline of crypto liquidity because they could only get their data back by trading real money for fake crypto money.

The next phase of crypto coercion was Web3: converting the web into a series of tollbooths that you could only pass through by trading real money for fake crypto money. The internet is a must-have, not a nice-to-have, a prerequisite for full participation in employment, education, family life, health, politics, civics, even romance. By holding all those things to ransom behind crypto tollbooths, the hodlers hoped to convert their tokens to real money:

https://locusmag.com/2022/09/cory-doctorow-moneylike/

For Tiktok, handing out free teddy-bears by “heating” the videos posted by skeptical performers and media companies is a way to convert them to true believers, getting them to push all their chips into the middle of the table, abandoning their efforts to build audiences on other platforms (it helps that Tiktok’s format is distinctive, making it hard to repurpose videos for Tiktok to circulate on rival platforms).

Once those performers and media companies are hooked, the next phase will begin: Tiktok will withdraw the “heating” that sticks their videos in front of people who never heard of them and haven’t asked to see their videos. Tiktok is performing a delicate dance here: there’s only so much enshittification they can visit upon their users’ feeds, and Tiktok has lots of other performers they want to give giant teddy-bears to.

Tiktok won’t just starve performers of the “free” attention by depreferencing them in the algorithm, it will actively punish them by failing to deliver their videos to the users who subscribed to them. After all, every time Tiktok shows you a video you asked to see, it loses a chance to show you a video it wants you to see, because your attention is a giant teddy-bear it can give away to a performer it is wooing.

This is just what Twitter has done as part of its march to enshittification: thanks to its “monetization” changes, the majority of people who follow you will never see the things you post. I have ~500k followers on Twitter and my threads used to routinely get hundreds of thousands or even millions of reads. Today, it’s hundreds, perhaps thousands.

I just handed Twitter $8 for Twitter Blue, because the company has strongly implied that it will only show the things I post to the people who asked to see them if I pay ransom money. This is the latest battle in one of the internet’s longest-simmering wars: the fight over end-to-end:

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

In the beginning, there were Bellheads and Netheads. The Bellheads worked for big telcos, and they believed that all the value of the network rightly belonged to the carrier. If someone invented a new feature — say, Caller ID — it should only be rolled out in a way that allows the carrier to charge you every month for its use. This is Software-As-a-Service, Ma Bell style.

The Netheads, by contrast, believed that value should move to the edges of the network — spread out, pluralized. In theory, Compuserve could have “monetized” its own version of Caller ID by making you pay $2.99 extra to see the “From:” line on email before you opened the message — charging you to know who was speaking before you started listening — but they didn’t.

The Netheads wanted to build diverse networks with lots of offers, lots of competition, and easy, low-cost switching between competitors (thanks to interoperability). Some wanted this because they believed that the net would someday be woven into the world, and they didn’t want to live in a world of rent-seeking landlords. Others were true believers in market competition as a source of innovation. Some believed both things. Either way, they saw the risk of network capture, the drive to monetization through trickery and coercion, and they wanted to head it off.

They conceived of the end-to-end principle: the idea that networks should be designed so that willing speakers’ messages would be delivered to willing listeners’ end-points as quickly and reliably as they could be. That is, irrespective of whether a network operator could make money by sending you the data it wanted to receive, its duty would be to provide you with the data you wanted to see.

The end-to-end principle is dead at the service level today. Useful idiots on the right were tricked into thinking that the risk of Twitter mismanagement was “woke shadowbanning,” whereby the things you said wouldn’t reach the people who asked to hear them because Twitter’s deep state didn’t like your opinions. The real risk, of course, is that the things you say won’t reach the people who asked to hear them because Twitter can make more money by enshittifying their feeds and charging you ransom for the privilege to be included in them.

As I said at the start of this essay, enshittification exerts a nearly irresistible gravity on platform capitalism. It’s just too easy to turn the enshittification dial up to eleven. Twitter was able to fire the majority of its skilled staff and still crank the dial all the way over, even with a skeleton crew of desperate, demoralized H1B workers who are shackled to Twitter’s sinking ship by the threat of deportation.

The temptation to enshittify is magnified by the blocks on interoperability: when Twitter bans interoperable clients, nerfs its APIs, and periodically terrorizes its users by suspending them for including their Mastodon handles in their bios, it makes it harder to leave Twitter, and thus increases the amount of enshittification users can be force-fed without risking their departure.

Twitter is not going to be a “protocol.” I’ll bet you a testicle¹ that projects like Bluesky will find no meaningful purchase on the platform, because if Bluesky were implemented and Twitter users could order their feeds for minimal enshittification and leave the service without sacrificing their social networks, it would kill the majority of Twitter’s “monetization” strategies.

¹Not one of mine.

An enshittification strategy only succeeds if it is pursued in measured amounts. Even the most locked-in user eventually reaches a breaking-point and walks away, or gets pushed. The villagers of Anatevka in Fiddler on the Roof tolerated the cossacks' violent raids and pogroms for years, until they were finally forced to flee to Krakow, New York and Chicago:

https://doctorow.medium.com/how-to-leave-dying-social-media-platforms-9fc550fe5abf

For enshittification-addled companies, that balance is hard to strike. Individual product managers, executives, and activist shareholders all give preference to quick returns at the cost of sustainability, and are in a race to see who can eat their seed-corn first. Enshittification has only lasted for as long as it has because the internet has devolved into “five giant websites, each filled with screenshots of the other four”:

https://twitter.com/tveastman/status/1069674780826071040

With the market sewn up by a group of cozy monopolists, better alternatives don’t pop up and lure us away, and if they do, the monopolists just buy them out and integrate them into your enshittification strategies, like when Mark Zuckerberg noticed a mass exodus of Facebook users who were switching to Instagram, and so he bought Instagram. As Zuck says, “It is better to buy than to compete.”

This is the hidden dynamic behind the rise and fall of Amazon Smile, the program whereby Amazon gave a small amount of money to charities of your choice when you shopped there, but only if you used Amazon’s own search tool to locate the products you purchased. This provided an incentive for Amazon customers to use its own increasingly enshittified search, which it could cram full of products from sellers who coughed up payola, as well as its own lookalike products. The alternative was to use Google, whose search tool would send you directly to the product you were looking for, and then charge Amazon a commission for sending you to it:

https://www.reddit.com/r/technology/comments/10ft5iv/comment/j4znb8y/

The demise of Amazon Smile coincides with the increasing enshittification of Google Search, the only successful product the company managed to build in-house. All its other successes were bought from other companies: video, docs, cloud, ads, mobile; while its own products are either flops like Google Video, clones (Gmail is a Hotmail clone), or adapted from other companies’ products, like Chrome.

Google Search was based on principles set out in founder Larry Page and Sergey Brin’s landmark 1998 paper, “Anatomy of a Large-Scale Hypertextual Web Search Engine,” in which they wrote, “Advertising funded search engines will be inherently biased towards the advertisers and away from the needs of consumers.”

http://ilpubs.stanford.edu:8090/361/

Even with that foundational understanding of enshittification, Google has been unable to resist its siren song. Today’s Google results are an increasingly useless morass of self-preferencing links to its own products, ads for products that aren’t good enough to float to the top of the list on its own, and parasitic SEO junk piggybacking on the former.

Enshittification kills. Google just laid off 12,000 employees, and the company is in a full-blown “panic” over the rise of “AI” chatbots, and is making a full-court press for an AI-driven search tool — that is, a tool that won’t show you what you ask for, but rather, what it thinks you should see:

https://www.theverge.com/2023/1/20/23563851/google-search-ai-chatbot-demo-chatgpt

Now, it’s possible to imagine that such a tool will produce good recommendations, like Tiktok’s pre-enshittified algorithm did. But it’s hard to see how Google will be able to design a non-enshittified chatbot front-end to search, given the strong incentives for product managers, executives, and shareholders to enshittify results to the precise threshold at which users are nearly pissed off enough to leave, but not quite.

Even if it manages the trick, this-almost-but-not-quite-unusuable equilibrium is fragile. Any exogenous shock — a new competitor like Tiktok that penetrates the anticompetitive “moats and walls” of Big Tech, a privacy scandal, a worker uprising — can send it into wild oscillations:

https://pluralistic.net/2023/01/08/watch-the-surpluses/#exogenous-shocks

Enshittification truly is how platforms die. That’s fine, actually. We don’t need eternal rulers of the internet. It’s okay for new ideas and new ways of working to emerge. The emphasis of lawmakers and policymakers shouldn’t be preserving the crepuscular senescence of dying platforms. Rather, our policy focus should be on minimizing the cost to users when these firms reach their expiry date: enshrining rights like end-to-end would mean that no matter how autocannibalistic a zombie platform became, willing speakers and willing listeners would still connect with each other:

https://doctorow.medium.com/end-to-end-d6046dca366f

And policymakers should focus on freedom of exit — the right to leave a sinking platform while continuing to stay connected to the communities that you left behind, enjoying the media and apps you bought, and preserving the data you created:

https://www.eff.org/interoperablefacebook

The Netheads were right: technological self-determination is at odds with the natural imperatives of tech businesses. They make more money when they take away our freedom — our freedom to speak, to leave, to connect.

For many years, even Tiktok’s critics grudgingly admitted that no matter how surveillant and creepy it was, it was really good at guessing what you wanted to see. But Tiktok couldn’t resist the temptation to show you the things it wants you to see, rather than what you want to see. The enshittification has begun, and now it is unlikely to stop.

It's too late to save Tiktok. Now that it has been infected by enshittifcation, the only thing left is to kill it with fire.

[Image ID: Hansel and Gretel in front of the witch's candy house. Hansel and Gretel have been replaced with line-drawings of influencers, taking selfies of themselves with the candy house. In front of the candy house stands a portly man in a business suit; his head is a sack of money with a dollar-sign on it. He wears a crooked witch's hat. The cottage has the Tiktok logo on it.]

[wygolvillage]

im like 60% sure i know the Actual blog of the guy running emporium LOL and he is constantly posting ai art on both his tumblr and twitter and is selling it so... do what you will with this information

EDIT: okay yeah this is him

[slitherpunk]

as someone who works on a lot of npc/enemy intelligence for her job i sure do hate how searching the keyword AI went from meaning stuff like pathfinding and behavior trees to just.. machine learning, chatgpt nonsense

[unrealityliminal]