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The Digital Hoarding Revolution: 7 Astonishing Ways Pinterest Transformed Procrastination Into A Virtue While Stealing Your Soul

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A surreal and whimsical representation of the concept of digital hoarding, featuring a vast Pinterest-inspired landscape overflowing with colorful pins, boards, and digital artifacts. The scene showcases a person caught in a whimsical whirlwind of ideas and visuals, with their soul represented as a glowing, ethereal figure being gently tugged away by a playful, mischievous creature made of pixelated elements. The background is filled with neon colors and futuristic elements, symbolizing the fusion of technology and creativity. The overall atmosphere blends humor and a touch of melancholy, inviting viewers to reflect on the dual nature of inspiration and distraction in the digital age. Hyper-detailed, with a cinematic quality that captures the essence of the digital revolution.

Where else could you spend three hours collecting farmhouse sink designs for a house you’ll never own and DIY projects you’ll never attempt?

In the pantheon of “tech platforms nobody asked for but somehow can’t live without,” Pinterest stands alone as the digital equivalent of your grandmother’s basement—packed with things you don’t need but can’t bear to part with, organized with a system that makes perfect sense to absolutely no one, and somehow both comforting and deeply anxiety-inducing at the same time.

As we approach mid-2025, Pinterest continues its reign as the internet’s most beautiful paradox: a platform with a 2.2-star rating from users who keep returning like digital masochists to pin more things they’ll never make, buy, or accomplish.1 The question becomes not just “What is the point of Pinterest?” but rather, “What profound psychological defect makes us continue using a service that simultaneously wastes our time, damages our self-esteem, and bombards us with ads for products we only thought about buying in our deepest dreams?”

The Existential Crisis Machine

Pinterest describes itself as “a visual discovery platform where people search, save and shop ideas” and claims people use it to “visualize their future, from everyday decisions to big life milestones”.2 This is perhaps the most optimistic description of “digital hoarding” ever conceived by digital marketing professionals.

“I downloaded Pinterest to find ideas for my home renovation,” explained Marcus Chen, a software engineer who hasn’t seen sunlight in three weeks. “Now I have 74 boards, 12,000 pins, and a profound sense that my actual home will never match the idealized version I’ve created in this digital dollhouse. I’m typing this from inside a closet because it’s the only space in my apartment that doesn’t remind me of my Pinterest failure.”

The platform’s genius lies in creating a perfect loop of aspiration and despair. Users begin with innocent intentions—perhaps seeking simple dinner recipes or workout tips—only to emerge hours later with elaborate boards dedicated to “Post-Apocalyptic Garden Designs” and “Minimalist Tree Houses I’ll Build When Society Collapses.”

The Curious Case of the Platform That Pretends to Be Useful

What makes Pinterest particularly fascinating is how it masquerades as a productivity tool while functioning as its exact opposite. Unlike other social media platforms that openly embrace their role as time-wasters, Pinterest maintains the charade that it’s helping you organize your life, plan your future, and become a better version of yourself.

“Pinterest is the perfect platform for planning weddings that will never happen,” said relationship therapist Dr. Alissa Winters. “I’ve had clients create elaborate wedding boards for years despite being chronically single or in relationships with partners who have explicitly stated they don’t want to get married. It’s like digital fantasy football, but for life events.”

The Seven Stages of Pinterest Grief

Stage 1: Innocent Curiosity

The Pinterest journey begins with a simple search—perhaps for a birthday cake recipe or living room color scheme. The interface is clean, the images beautiful. “This seems useful,” you think, not realizing you’ve just stepped into digital quicksand.

“I just wanted ideas for my son’s dinosaur-themed birthday party,” recalled mother of three Jennifer Lawson. “Three years later, I have 47 boards dedicated to prehistoric-themed events I’ll never host, including ‘Jurassic Wedding Anniversary’ and ‘Paleolithic Retirement Party.’ My son is now into robots. Help me.”

Stage 2: Account Creation Euphoria

Creating your first boards feels productive. You’re organizing! You’re planning! You’re living your best digital life! This euphoria lasts approximately 17 minutes.

“Pinterest makes users feel they’re accomplishing something by merely collecting images of accomplishments,” explained digital psychologist Dr. Marcus Wei. “It’s like believing you’ve exercised because you watched a workout video or thinking you’ve cooked a gourmet meal because you saved a recipe. We call this ‘Pinterest-actualization’—the delusion that digital curation equals real-world achievement.”

Stage 3: The Pin Spiral

What begins as specific searches quickly devolves into random pinning. You came for kitchen backsplash ideas but are now saving tattoo designs for a body part you’re not sure you have.

This is by design. As one Reddit user laments: “It’s the perfect tool for procrastination. You can easily get sucked into spending hours looking at makeup tutorials or mason jar DIYs, quickly forgetting what exactly it was that you signed in to explore and learn about in the first place”.3

Stage 4: Search Result Despair

Pinterest’s search function operates on principles that would make Dadaist artists proud—loosely connected to your query but ultimately mysterious and occasionally disturbing.

“One of the significant challenges users face on Pinterest is the inaccuracy of search results,” explains a digital marketing expert. “Often, the content that appears in response to user queries does not align well with their intent”.4

“I searched for ‘healthy breakfast ideas’ and somehow ended up with pins for keto bacon cheesecake and DIY coffin shelving,” reported user Thomas Rodriguez. “I’m not sure if the algorithm is broken or if Pinterest knows something about my cholesterol levels that I don’t.”

Stage 5: Ad Saturation Resignation

As your Pinterest journey continues, the ratio of ads to actual content begins to resemble the cream-to-coffee ratio in a Starbucks venti—mostly milk with a suggestion of what you actually came for.

“Over the years, Pinterest has become increasingly commercialized, with a noticeable rise in sponsored content and advertisements,” notes one analysis. “The excessive saturation of adverts can significantly diminish the quality of the user experience on Pinterest”.

This commercialization has reached such levels that some users report accidentally spending money through Pinterest’s predatory practices: “Make predatory website that is set up to trick people into clicking a link to get more information and then because you had to enter your credit card to get to the next level it automatically places your ad even though you were only trying to get pricing”.

Stage 6: Self-Esteem Collapse

Just when you think Pinterest can’t make you feel worse, you discover it’s not just wasting your time—it’s actively damaging your self-image.

“While Pinterest is supposed to be inspirational, sometimes it ends up being quite the opposite,” notes one critique. “Rather than giving you the drive to prepare perfect Whole30 lunches every day or organize your junk drawers like Marie Kondo, it often just makes you feel guilty for deciding to sit on the couch and watch Netflix”.

The platform excels at creating impossible standards, from unattainable beauty ideals to home organization systems that would require quitting your job to maintain. “The makeup/hair tutorials look easy (but they’re not),” explains one critic. “If we see one more list of ‘5 minute makeup looks,’ we’re going to scream”.

Stage 7: Stockholm Syndrome

Despite all evidence that Pinterest is a digital parasite feeding on your time, attention, and self-worth, users continue returning with cult-like devotion.

“The content and abilities of Pinterest are what’s keeping me on there,” confesses one Reddit user, despite acknowledging “constant terrible moderation and banning people for no reason”.5

This bizarre loyalty persists even as users report being suspended without explanation, encountering endless bugs, and fighting through increasingly cluttered ad experiences. It’s the tech equivalent of returning to a restaurant where the food made you sick, the service was terrible, and they charged you double—but the ambiance was nice.

The Business Model of Beautiful Despair

Perhaps the most ingenious aspect of Pinterest is how it’s monetized human insecurity at scale. The platform creates a perfect storm of inadequacy—showing users idealized versions of homes, bodies, wardrobes, and lives—then sells solutions to problems it manufactured.

“Pinterest brings a great deal of help for businesses allowing them to post pictures (pins) and bring engagement for their brand,” explains one business user. Translation: businesses can now profit from the inadequacy Pinterest cultivates in its users.

The platform offers sophisticated marketing tools, including “Pinterest tags [that] can be used to track the actions visitors take on a website after seeing a company’s Pinterest advertisement”.6 This allows businesses to follow users around the internet like digital stalkers, reminding them of all the things they pinned but haven’t purchased.

The Curious Absence of Purpose

After fifteen years of existence, Pinterest has achieved something remarkable: a platform with 450 million monthly users whose purpose remains fundamentally unclear. Is it a shopping site? A social network? A visual search engine? A digital mood board? A place to feel bad about your hair?

The answer appears to be “all of the above and none of the above,” a quantum superposition of purpose that collapses into whatever justification users need to continue their addiction.

“Pinterest is a visual discovery engine for finding ideas like recipes, home and style inspiration, and more,” the platform helpfully explains, which is a bit like describing alcohol as “a liquid consumption experience for finding euphoria, social lubrication, and more” without mentioning hangovers or regrettable text messages.

The Fundamental Pinterest Paradox

The most profound contradiction at Pinterest’s core is this: a platform supposedly designed to inspire action that primarily encourages inaction. Users spend hours collecting ideas for things they might do someday, rather than actually doing anything.

“Pinterest is the virtual pinboard where users can discover and save ideas,” promises the company description. What it doesn’t mention is that for many users, the discovering and saving becomes the end rather than the means—a digital hamster wheel of endless collection without creation.

This system works brilliantly for Pinterest’s business model. Why would they want you to actually complete that DIY project when they can keep showing you ads for craft supplies indefinitely? Your completed project is Pinterest’s lost revenue opportunity.

A Future Pinned to Nothing

As Pinterest continues evolving, its 2025 predictions feel “underwhelming” and “repackaged” according to industry observers.7 This lack of innovation is perhaps fitting for a platform built on the principle of recycling other people’s content without proper attribution—one of the “significant issues on Pinterest is the widespread sharing of content without proper attribution to the original creator”.8

In the meantime, users continue their love-hate relationship with the platform, simultaneously complaining about it while unable to leave. “Pinterest is literally so full of bugs. It’s especially hard to use on the mobile version because of the new update (there’s a new layout for the app, it sucks),” laments one user before inevitably returning to pin more wedding dresses for their imaginary wedding.

Perhaps in this digital age of constant productivity pressure, Pinterest serves an unintended purpose: providing the illusion of achievement through collection. In a world demanding tangible outcomes, Pinterest offers a sanctuary where simply gathering inspirational images feels like enough.

Or maybe, just maybe, it’s all an elaborate psychological experiment to see how long humans will stare at pictures of things they’ll never have. Either way, we’ll keep pinning, because what else would we do with the seven minutes before bedtime when we’re too tired to actually do anything but not quite ready to confront the existential void of sleep?

After all, those farmhouse sink designs aren’t going to pin themselves.

Support TechOnion’s Digital Hoarding Intervention Program

If you’ve spent more than 17 consecutive hours organizing Pinterest boards for a house you don’t own or a wedding to someone you haven’t met, your donation to TechOnion can help fund our emergency recovery services for digital hoarders. Every dollar contributes to our mission of slapping phones out of people’s hands when they start creating boards titled “Dream Closet Organization Systems I’ll Implement When I’m a Different Person.” Remember: the first step to recovery is admitting that no, you will never build that pallet wood coffee table that requires specialized tools you don’t own.

References

  1. https://www.sitejabber.com/reviews/pinterest.com ↩︎
  2. https://business.pinterest.com/how-pinterest-works/ ↩︎
  3. https://www.watchmojo.com/articles/top-5-reasons-we-hate-pinterest ↩︎
  4. https://mayvirtualassists.com/4-problems-with-pinterest/ ↩︎
  5. https://www.reddit.com/r/Pinterest/comments/1al73ng/pinterest_is_the_worst/ ↩︎
  6. https://www.techtarget.com/whatis/definition/Pinterest ↩︎
  7. https://substack.com/home/post/p-154134959 ↩︎
  8. https://mayvirtualassists.com/4-problems-with-pinterest/ ↩︎

The AI-Powered Money Cremation Revolution: 7 Astonishing Ways Google Search Ads Will Transform Your Marketing Budget Into Digital Smoke

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A surreal and thought-provoking digital artwork illustrating the concept of "The AI-Powered Money Cremation Revolution." The scene features a futuristic landscape where vibrant Google search ads float like ethereal wisps of smoke, transforming into ashes as they ascend into a digital sky. In the foreground, a figure representing a marketer stands amidst a whirlwind of colorful, glitchy advertisements, their expression a mix of awe and concern. The backdrop showcases advanced AI technology, with glowing circuits and gears, symbolizing the transformation of traditional marketing budgets into ephemeral digital smoke. Incorporate elements like burning dollar bills morphing into pixels, holographic graphs displaying fluctuating marketing metrics, and a dramatic color palette of deep blues, purples, and neon greens to emphasize the dystopian vibe. The artwork should be hyper-detailed, with a cinematic lighting effect that draws the viewer's eye to the central figure amidst the chaos of digital transformation. This piece should evoke feelings of curiosity, wonder, and a slight unease, prompting viewers to contemplate the nature of modern marketing in an AI-driven world.

Tech’s most sophisticated wealth transfer system has been supercharged with AI to ensure maximum inefficiency with minimum effort

In the glorious internet economy of 2025, there’s no more efficient way to convert actual currency into nothing than Google Search Ads – especially now that they’ve added AI to the mix. While amateurs might waste money slowly through traditional means like lottery tickets or cryptocurrency investment, true professionals know that Google’s advertising platform offers unparalleled opportunities to incinerate marketing budgets at the speed of light. The best part? Their new AI features ensure you don’t even have to think about how you’re wasting money – the algorithms will do it for you!

The Exquisite Art of Algorithmic Money Burning

Google’s advertising platform isn’t just a way to reach potential customers – it’s a sophisticated wealth redistribution system designed to transfer money from hopeful businesses directly to Alphabet’s shareholders. With the addition of AI-powered features, this process has been streamlined to near perfection.

“Our AI-driven automation helps advertisers optimize bids, predict customer behavior, and enhance targeting strategies,” explains Google’s website with a straight face, failing to mention that this same AI is optimizing for Google’s revenue, not yours.1

Let’s explore the most efficient pathways to financial ruin that Google has thoughtfully engineered for you:

1. Embrace the Default Settings: Your Express Lane to Poverty

Google has mastered the dark art of making the path of least resistance also the path of maximum spending. Their default settings aren’t just user-unfriendly – they’re wallet-hostile too.

“Google’s default settings almost guarantee you’ll spend MORE money than you need to because that’s what Google wants,” explains marketing expert Phil Thompson.2 “Google is in business to make money from advertisers so of course, it’s in their best interest to encourage businesses to spend more.”

When setting up your campaign, simply click “next” through all the setup screens. Don’t worry about understanding what “Search partners” or “Display Network” mean – they’re just technical terms for “places your ads will show to people who have absolutely no interest in your product.” According to industry reports, many businesses lose money with Google Ads simply because they don’t realize these default settings include advertising in both Search and Display networks.

2. Let AI Choose Your Keywords (Because Who Understands Your Business Better Than an Algorithm?)

One of the most beautiful ways to waste money is to surrender keyword control to Google’s AI. Sure, you might think you know which search terms are relevant to your business, but wouldn’t you rather trust a machine learning model trained on the goal of extracting maximum revenue?

Google’s broad match keywords, especially when paired with Smart Bidding, will ensure your carpet cleaning ads in Sydney appear to people searching for “how to remove stains” in Brisbane, Ludhiana, and possibly Mars.3

As one agency discovered when analyzing a client’s campaign: “The Google Ad Campaign that had been run managed to be shown to people in Brisbane and Ludhiana – for a Sydney based service business this is useless and poor traffic”. But remember, that’s not a bug – it’s a feature for Google’s revenue team!

3. Track Nothing, Learn Nothing, Spend Everything

To maximize waste, make sure you never set up proper conversion tracking. Operating Google Ads without tracking is like navigating without a compass, which is exactly what you want if your goal is to get hopelessly lost in a forest of wasted spend.4

“They do not track leads and sales from their campaigns,” notes one marketing expert about unsuccessful advertisers. “I am always shocked when customers tell me they have no way to measure the effectiveness of their Google Ads campaigns. Or they are measuring the wrong numbers!”

The true artists of money wastage focus exclusively on vanity metrics like impressions or clicks, completely ignoring whether those interactions result in actual revenue. Remember, if you can’t measure ROI, you can’t be disappointed by it!

4. Surrender to the AI Overlords: Smart Campaigns for Dumb Results

Google’s “Smart” campaigns represent the pinnacle of automated inefficiency. By relinquishing all meaningful control over your advertising to algorithms optimized for Google’s benefit, you ensure maximum wastage with minimum effort.

“One of the biggest challenges with Google Ads AI is the limited control it gives over campaign management,” explains one digital marketing expert.5 This limited control is perfect for advertisers who prefer not knowing where their money is going.

In one particularly elegant example, an agency “elected to use a Smart Campaign instead of a full Google Ads Campaign” and “didn’t go through the due diligence to make sure all the data between Google Ads, Google Search Console and Google Analytics was set up to provide the information needed to measure performance.” The result? “More than $500 was spent on ads without knowing if they were working or not”. Now that’s efficiency!

The Advanced Money Incinerator’s Toolkit

For those who have mastered the basics of wasting money on Google Ads, here are some advanced techniques to elevate your wastage to truly artistic levels:

5. Optimize for Clicks, Not Conversions (Because Who Needs Customers?)

The most sophisticated money wasters understand that optimizing for clicks rather than conversions is like paying people to walk into your store, look around, and leave without buying anything.

“Poor keyword research often results in using overly broad or irrelevant terms, which diminishes the quality of leads,” experts warn. But what they fail to appreciate is that high traffic with zero intent is precisely what you’re aiming for if your goal is maximum spend with minimum return!

By choosing the broadest possible keywords and setting your campaigns to “maximize clicks,” you ensure a steady stream of irrelevant visitors who have no intention of becoming customers. It’s like hosting an expensive party where everyone leaves before dinner is served.

6. Ignore Negative Keywords (Because Everyone Is a Potential Customer!)

Negative keywords – those terms that prevent your ads from showing for irrelevant searches – are the enemy of efficient money wastage. By refusing to use them, you ensure your ads appear for a vast universe of unrelated queries.

“One of the most significant pitfalls is omitting negative keywords. Failing to include them can lead to wasted spending on irrelevant clicks,” cautions one marketing expert. But remember, those “irrelevant clicks” are exactly what you’re paying for!

For example, if you sell luxury watches, why wouldn’t you want your ads appearing when someone searches for “Apple Watch wallpaper download free”? Sure, they have no intention of buying your $10,000 timepiece, but think of the EXPOSURE!

7. Embrace Google’s Newest AI Features (Because What Could Go Wrong?)

Google’s latest innovation is bringing ads to its AI Mode search experience, where users engage in conversational searches. Early reports suggest that “the goal of AI Mode is to answer the question as completely in the chat,” which “could reduce users’ incentive to click on ads”.

But don’t let that stop you! These new placements will likely come with premium pricing and lower click-through rates – a perfect combination for maximizing cost while minimizing results. As one expert predicts, these ads could lead to “potentially lower return on ad spend”. What more could a dedicated money waster ask for?

Industry expert Navah Hopkins from Optmyzr summarizes it perfectly: “AI Mode advertising could result in lower click-through rates due to users staying within the conversation, possible premium pricing leading to higher costs per click, and potentially lower return on ad spend”. It’s like they designed it specifically for budget cremation!6

The Emperor’s New AI: A Perfect Storm of Waste

The true genius of Google’s current advertising platform is how it combines traditional inefficiencies with cutting-edge AI to create a perfect storm of marketing waste. By wrapping everything in impenetrable jargon and promising that the algorithms just need more of your money to “learn,” they’ve created digital advertising’s equivalent of a perpetual motion machine – except instead of generating energy, it generates expense.

“The AI handles tasks like automated bidding and audience targeting. While this can save time, it leaves advertisers with less manual control,” explains one analysis. Less control means more opportunities for mysterious budget drains that no one can explain or justify!

The system is particularly effective at extracting money from small businesses, who “may find Google Ads AI difficult to use, especially if they’re new to digital marketing”. After all, nothing says “effective advertising” like an inscrutable black box that makes decisions you don’t understand while steadily draining your bank account.7

As for understanding why the AI makes certain choices? Good luck with that! “Understanding why Google Ads AI makes certain decisions can be tricky. The system uses complex algorithms that are difficult to interpret, so advertisers may feel in the dark about why specific choices were made”. That lovely sense of confusion is exactly what you want when spending your marketing budget!

Conclusion: The Perfect Money Pit

Google Ads represents the pinnacle of technological advancement in separating businesses from their money. With each new AI feature and automation tool, they’re not just helping you waste money – they’re helping you waste it more efficiently than ever before.

The beauty of the system is that it occasionally works just well enough to keep you hooked, like a digital slot machine that pays out just frequently enough to keep you pulling the lever. As one marketing expert notes, the platform creates “digital Stockholm Syndrome” through intermittent reinforcement – occasionally, your ads will perform well, giving you just enough dopamine to keep throwing money into the system despite consistent overall losses.

Remember that Google’s ultimate goal isn’t to help you grow your business – it’s to grow Alphabet’s quarterly earnings. As one marketing blog bluntly states: “The biggest sources of revenue for Google Ads come from large advertisers. Think big-name companies like Amazon, State Farm, Wal-Mart and so on”. Your small business? You’re just providing the loose change.8

So the next time you’re looking for a way to convert actual money into digital disappointment, remember that Google Ads is standing by, ready to help – especially if you let their AI take the wheel. After all, what could possibly go wrong when you let an algorithm optimized for someone else’s profit decide how to spend your money?

As Google’s own documentation cheerfully reminds us, by “combining AI-powered Search ads products, you can create ads that adapt to show more relevant messages to more people while meeting your ROI goals”. They just don’t specify whose ROI goals those might be.

Support TechOnion’s AI-Resistant Journalism

If you enjoyed this article on Google’s sophisticated money extraction system, consider donating to keep TechOnion’s servers running. Unlike Google Ads AI, we promise to waste your money the old-fashioned way—paying actual humans to write sarcastic content instead of letting algorithms optimize your funds into oblivion. Every dollar you give us is a dollar that can’t be sacrificed to the Google Ads gods, which makes it practically a financial investment according to our completely legitimate accounting methods. Support the resistance against algorithmic money incineration today!

References

  1. https://adsgrip.com/the-harsh-truth-about-google-ads-are-you-wasting-money/ ↩︎
  2. https://www.mainstreetroi.com/why-many-businesses-lose-money-with-adwords/ ↩︎
  3. https://www.pauldambra.com/this-is-how-business-owners-waste-money-on-google-ads/ ↩︎
  4. https://denote.ie/the-power-of-google-ads-campaigns-cloned/ ↩︎
  5. https://utds.al/ai-powered-google-ads/ ↩︎
  6. https://searchengineland.com/google-ads-ai-mode-453114 ↩︎
  7. https://utds.al/ai-powered-google-ads/ ↩︎
  8. http://marlinsem.com/google-ads-losing-money/ ↩︎

Digital Deception Exposed: 7 Disturbing Ways Facebook and Google Run Their Own Click Farms to Drain Your Marketing Budget

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A conceptual illustration depicting the theme of "Digital Deception Exposed," focusing on the dark side of social media marketing. The scene features a dystopian landscape where Facebook and Google icons loom large in the background, representing the giants of the digital world. In the foreground, a group of shadowy figures, resembling robotic click farm workers, are hunched over glowing screens, frantically clicking on ads. Their expressions are vacant, emphasizing the mindless nature of the operation. The atmosphere is filled with a mix of neon lights and shadows, creating a stark contrast that highlights the exploitation behind the scenes. Data streams and binary code flow like water around them, symbolizing the endless cycle of information and manipulation. Incorporate elements like broken currency symbols and a leaking marketing budget to further illustrate the financial drain on businesses. The overall style should be hyper-detailed, reminiscent of cyberpunk aesthetics, with cinematic lighting that enhances the sense of urgency and deception. This digital art should provoke thought about the hidden mechanisms of online advertising and the impact on small businesses.

Explosive TechOnion investigation reveals tech giants have created the perfect self-sustaining ad fraud ecosystem while convincing you it’s just “the algorithm”

In what industry insiders are calling “the worst-kept secret in Silicon Valley,” evidence is mounting that Facebook and Google—the two companies controlling nearly 60% of all digital advertising dollars—are operating their own sophisticated click farms designed to artificially inflate ad metrics and drain marketing budgets. This revelation comes as digital ad fraud reaches a staggering $122 billion annually, with an increasing portion flowing directly back to the platforms themselves in a perfect closed-loop system of digital deception.

The Perfect Crime: How Tech Giants Became Their Own Best Customers

The scheme, which multiple sources have described as “hiding in plain sight,” works with elegant simplicity: Create the advertising platforms, control the metrics that measure success, then secretly generate fake engagement to keep advertisers coming back for more despite increasingly poor results.

“It’s the perfect business model,” explained former Facebook operations consultant Jared Michaels. “They sell you ads, promising targeted reach to interested consumers. Then they use their own click farms to generate just enough engagement to keep you believing it works, while ensuring you never get enough real customers to stop advertising. It’s digital feudalism—you’re not a customer, you’re a serf paying rent on attention that mostly doesn’t exist.”

According to industry analysis, this closed ecosystem operates through seven increasingly disturbing mechanisms that have transformed digital advertising into what one insider called “a sophisticated wealth transfer system disguised as digital marketing.”

1. The Philippines Connection: Human Farms Behind “AI-Powered” Targeting

While both platforms tout their advanced AI-driven ad targeting, investigations reveal vast operations centers in the Philippines, Bangladesh, and Vietnam where thousands of workers manually click ads to create the illusion of engagement. These facilities, operating under innocuous names like “Digital Engagement Solutions,” employ workers earning approximately $1 per thousand clicks.

An investigative report accidentally published and quickly deleted from an industry publication described a facility outside Manila with over 2,000 workers, each managing multiple devices and accounts, creating what one former employee called “the human cloud behind the AI myth.”

“I worked at a click farm for three years,” said Manuel Suarez, a former click farm worker. “Half the facility was dedicated to Facebook accounts, and we were instructed to click specific types of ads in patterns that looked natural. They called it ‘engagement calibration.’ We knew the data went directly to Facebook—it wasn’t some third party.”

2. The Algorithmic Laundering Operation

Perhaps most ingenious is how these platforms “launder” fake engagement through their algorithms. By processing artificial clicks through the same systems that analyze genuine user behavior, they create a digital feedback loop that’s nearly impossible to distinguish from organic activity.

Dr. Eliza Chen, a former data scientist at Google, explained: “The algorithm doesn’t differentiate between a real user’s click and a click farm worker’s action—it all becomes training data. Over time, the platforms have effectively trained their algorithms on synthetic engagement data, creating a self-reinforcing system where fake interest generates more fake interest.”

This algorithmic laundering makes the fraud nearly undetectable, as the platforms simply attribute poor campaign performance to “market conditions” or suggest that advertisers need to increase spending to break through increasing competition.

3. The Self-Sabotage Protocol

In a particularly devious twist, sources report that both platforms operate what internal documents call “competitive engagement units”—teams dedicated to clicking on competitors’ ads to drain their budgets quickly.

“If Company A is competing with Company B, and both are advertising on Facebook, the platform benefits when they exhaust each other’s budgets,” explained marketing consultant Rebecca Thornton. “By selectively applying click farm resources to competitor ads, they create bidding wars where everyone spends more while getting less.”

This creates a perfect profit cycle: When your competitor’s ads perform poorly due to artificial clicks, they increase their bids to compensate. The platform then shows you data suggesting your campaigns are underperforming compared to industry benchmarks, prompting you to increase your bids as well. Neither company achieves meaningful results, but both spend increasingly more.

4. The Strategic Conversion Denial System

Perhaps the most sinister element is what insiders call “Strategic Conversion Denial”—a sophisticated system that ensures ads receive enough clicks to seem effective but not enough conversions to actually be profitable.

“The sweet spot is right at the threshold of hope,” explained former Meta analytics engineer Wei Zhang. “If your campaigns performed too poorly, you’d stop advertising altogether. If they performed too well, you’d reduce spending once you’d saturated your market. They need you perpetually caught in the middle—spending more to chase conversions that the system is programmed to keep just out of reach.”

Internal documents reportedly show that both platforms target a “sustainable engagement ratio” that keeps advertisers spending while carefully managing conversion rates to prevent campaigns from ever reaching true profitability.

5. The Metrics Mirage

To conceal their activities, both platforms have created increasingly complex metrics that bear little relation to actual business outcomes. These proprietary measurements—with names like “engagement score,” “relevance rank,” and “quality index”—serve primarily to obscure the fundamental disconnect between ad spending and results.

“It’s brilliant, really,” said digital marketing veteran Thomas Anderson. “They’ve created dozens of metrics that only make sense within their ecosystem. By the time an advertiser masters one set of metrics, the platform changes them, claiming ‘improvements’ that reset the learning curve and obscure historical performance data.”

This metrics shell game prevents advertisers from establishing consistent benchmarks that might expose the underlying fraud. When campaign performance declines, advertisers are simply told they need to adapt to “platform updates” rather than questioning the fundamental value of their ad spend.

6. The Perfect Attribution Scam

Both platforms have implemented attribution models that credit them with sales and conversions they had little to do with, creating the illusion of effectiveness while masking the true source of business results.

“If someone sees your Facebook ad but doesn’t click, then later searches for your brand on Google and converts, both platforms will claim credit for that conversion,” explained attribution specialist Mira Patel. “Their click farms create enough touchpoints across both platforms to ensure they can claim attribution for virtually any online sale, even when their influence was minimal or non-existent.”

This multi-touch attribution model, combined with increasingly long “lookback windows,” allows both platforms to take credit for conversions that would have happened organically, further convincing advertisers of their effectiveness.

7. The Whistleblower Suppression Machine

Several former employees who attempted to expose these operations have found themselves targeted by sophisticated reputation management campaigns that render their claims unbelievable or impossible to verify.

“Anyone who speaks out suddenly finds their social media accounts compromised, their professional reputations questioned, and their personal lives scrutinized,” said privacy advocate Eleanor Nash. “The platforms control the digital public square, which makes exposing their practices nearly impossible. They can literally rewrite your online identity overnight.”

Inside Google’s “Project Chimera”

According to three separate sources familiar with the operation, Google maintains a sophisticated click farm operation codenamed “Project Chimera” that integrates both human clickers and advanced bots. The program reportedly began as a quality assurance initiative to test ad systems but evolved into a profit center generating billions in fraudulent clicks.

The operation allegedly employs proxy servers and VPNs to mask IP addresses while creating patterns of behavior that perfectly mimic legitimate user activity. Because Google controls both the advertising platform and the tools used to detect fraud, they’ve created a perfect fox-guarding-the-henhouse scenario.

“They have facilities in Vietnam, India, and Eastern Europe,” claimed a former contractor who requested anonymity. “But the most sophisticated operation is actually in a suburban office park outside Toronto. It looks like any other Google office, but it’s dedicated to what they call ‘engagement enhancement.'”

Facebook’s “Authentic Experience Team”

Not to be outdone, Facebook reportedly operates what internal documents call the “Authentic Experience Team”—a global network of click operations disguised as content moderation centers.

While these facilities do perform some legitimate content review, sources indicate that approximately 30% of their activities involve creating and managing millions of sophisticated fake accounts that generate artificial engagement.

“They call them ‘calibration profiles,'” explained a former Facebook operations manager. “These aren’t crude bot accounts. They have years of posting history, friend networks, and engagement patterns indistinguishable from real users. They’re used to ensure advertisers see engagement metrics that keep them spending, even when real user interest is declining.”

The Economic Perpetual Motion Machine

The genius of this system is that it creates a closed economic loop that’s almost impossible to escape. Advertisers, desperate for attention in an increasingly crowded digital landscape, pour money into platforms that promise targeted reach. The platforms use click farms to generate just enough engagement to keep the illusion alive, while carefully managing conversion rates to ensure advertisers never achieve enough success to stop spending.

“It’s a digital pyramid scheme,” said marketing professor Dr. James Harrington. “But unlike traditional pyramid schemes that eventually collapse when they run out of new participants, this one can run indefinitely because advertisers have nowhere else to go. The duopoly controls the market, and they’ve convinced businesses that digital advertising is essential to survival.”

The most disturbing aspect of this system is how it’s hidden behind increasingly complex machine learning algorithms that no one—not even the engineers who built them—fully understands. This algorithmic black box provides perfect cover for what may be the largest financial fraud in history.

“When campaigns underperform, the platforms simply blame the algorithm and suggest spending more to ‘help the AI learn,'” explained data scientist Dr. Chen. “It’s genius because it frames failure as a temporary learning process rather than a fundamental flaw in the system.”

As digital ad spending approaches $500 billion annually, with Google and Facebook capturing the lion’s share, the implications of this scheme are staggering. Essentially, businesses worldwide are pouring increasingly large portions of their revenue into a system designed to extract maximum value while delivering minimum results—all hidden behind the impenetrable veil of proprietary algorithms and artificially generated engagement metrics.

The question now is not whether this is happening, but what, if anything, can be done about it. With both platforms controlling the digital spaces where such discussions would take place, don’t expect this article to appear in your news feed anytime soon.

Unless, of course, their click farms decide it should.

Fund TechOnion’s Digital Ad Investigation Unit

Your donation helps us maintain our click farm detection systems that prevent Facebook and Google from seeing this exposé and sending it to their Vietnamese “engagement specialists” for immediate burial in the algorithm. Every dollar keeps our journalists one step ahead of the “reputation management teams” that are undoubtedly already creating fake Twitter accounts to discredit this story. Remember: in a world where tech giants manufacture their own reality, independent journalism isn’t just valuable—it’s endangered.

The Anti-Techcrunch Revolution: 7 Shocking Ways Paying Us to Demolish Your Startup Will Unleash Viral Fame While You’re Still Broke

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Because getting eviscerated by professionals is the only marketing strategy you can actually afford

In an industry where the average startup has a better chance of being struck by lightning while winning the lottery than getting featured on TechCrunch or the big tech media mafia, a bold new marketing strategy has emerged: paying someone to publicly mock everything you’ve worked for. At TechOnion, we’re proud to announce our new service where we brutally roast your startup for a fraction of what you would waste on LinkedIn ads that nobody will ever see.

The Attention Economy’s Dirty Secret

Let’s face it: tech media doesn’t care about your “revolutionary” app that helps people catalog their houseplants or your “game-changing” SaaS platform that’s basically just Slack with different colored buttons. TechCrunch, The Verge, and other major outlets are too busy writing their 47th article about whatever Elon Musk tweeted while sitting on the toilet this morning.

A recent completely real study that we definitely didn’t make up shows that 94% of press releases sent by early-stage startups end up in the same digital folder as those emails from your college ex who “just wants to catch up.” They’re not even being rejected—they’re being ignored, which in the attention economy is a fate worse than death.

“We spent $15,000 on a PR firm and got one mention in the ‘New Funding’ section of a newsletter that only VCs read, and they were all too busy looking at their own reflections in PowerPoint decks to notice,” said Brianna Zhang, founder of WaterCycle, an AI-powered water bottle that reminds you you’re dehydrated while simultaneously making you feel bad about climate change.

Enter Strategic Self-Flagellation

This is where TechOnion’s “Roast Your Startup Until It’s Medium Rare” service comes in. For a modest fee (significantly less than a single booth at a conference where you’ll collect 200 business cards that immediately go into the trash), we will publicly eviscerate your company with such precision and wit that people can’t help but pay attention.

Why does this work? Because 58% of consumers want content that makes them laugh.1 And nothing is funnier than watching someone else’s dreams get crushed—especially when they’re in on the joke.

The psychology is simple: when Dollar Shave Club founder Michael Dubin used self-deprecating humor in his marketing, the company’s website crashed from traffic and the video gained over 28 million views.2 When SURREAL cereal took playful digs at other cereal brands, they built a massive following on LinkedIn of all places. And when Squatty Potty featured a unicorn defecating ice cream (we’re not making this up), company sales increased by 600%.3

“Getting roasted by TechOnion was the best thing that ever happened to our startup,” claimed Alex Johnson, founder of MindfulMoment, an app that uses machine learning to tell you exactly how bad you are at meditation. “They said our UI looked like it was designed by a toddler who’d been given espresso and a box of crayons. Traffic to our site increased 3000%, and we closed our seed round the next day. Turns out VCs love companies that can take a punch in the crouch”

The Premium Roasting Experience

Our roasting packages come in three tiers:

1. The “Mild Discomfort” Package ($499)

  • A 500-word takedown of your business model
  • Three jokes about your founder’s LinkedIn profile
  • One comparison to a failed startup that makes your team nervously Google “Are we actually just [Juicero/Theranos/Quibi]?”

2. The “Existential Crisis” Package ($999)

  • A 1,500-word comprehensive dismantling of your company
  • An AI-generated image of your founders crying in a WeWork
  • A detailed explanation of why your TAM analysis is more fictional than Lord of the Rings
  • A flowchart predicting exactly how your startup will pivot before eventually becoming a crypto company

3. The “Complete Psychological Devastation” Package ($2,499)

  • A 2,500-word surgical dissection of everything wrong with your company
  • A custom video where we explain to your parents what you actually do in terms they’ll understand, only to watch their faces fall with disappointment
  • A detailed analysis of which of your competitors will acquire your technology after you fail
  • A mock press release announcing your company’s demise that’s so convincing your investors will call in a panic

The Science Behind the Shame

This isn’t just about humiliation—it’s strategic humiliation. Website roasting is “a powerful tool to uncover hidden issues, improve user experience, boost SEO, and drive better results”.4 While traditional marketing channels require significant investment, guerrilla marketing techniques like our roasting service allow startups to “generate buzz and attract attention without spending large sums on traditional advertising”.5

Plus, parody and satire can “help your campaign stand out and reach a wider audience”.6 When people find something funny, they’re more likely to share it. And in the digital age, where social media and word-of-mouth are crucial for success, this can be a major advantage.

“After TechOnion roasted us, our demo video went viral in VC circles,” said Mohammed Al-Farsi, founder of CryptoKitty2049, a blockchain platform that lets you buy and sell digital pets that are identical to the original CryptoKitties but cost twice as much for no reason. “One investor told me, ‘I still think your idea is stupid, but anyone who can laugh at themselves this hard might just be crazy enough to succeed.’ He wrote us a check for $3 million.”

How It Works

  1. You apply: Send us an email at [email protected] and tell us what your startup does. Be specific. We can’t properly mock your unrealistic unit economics if we don’t understand them.
  2. We investigate: Our team of cynical tech journalists and failed founders dig through your website, social media, and pitch deck to find every flaw, inconsistency, and instance of the phrase “we’re like Uber but for…”
  3. We create: Our writers craft a devastatingly funny takedown of your business that somehow makes people want to check it out anyway.
  4. You cry, then celebrate: First, you’ll question all your life choices. Then, you’ll watch your website traffic and social media follows skyrocket as people rush to see if you’re really as ridiculous as we made you sound.

Why This Actually Works

The cold, hard truth? In today’s overcrowded startup ecosystem, attention is the scarcest resource. Traditional PR is expensive and increasingly ineffective. Content marketing takes months to gain traction. Social media is a slot machine that occasionally pays out but mostly just takes your quarters.

But humor? Humor cuts through everything!

“Guerilla marketing is all about thinking outside the box and standing out from the crowd,” according to startup marketing experts. By voluntarily putting yourself in the line of fire, you demonstrate confidence, self-awareness, and the kind of resilience that makes investors think, “This team won’t crumble under pressure.”

Plus, as the team at Slack discovered, you can showcase your product’s effectiveness through “witty taglines and humorous scenarios”. When we roast you, we’re not just making fun of you—we’re highlighting your product’s features and benefits in a way that people will actually remember.

The Hidden Benefits Nobody Talks About

Beyond the obvious marketing advantages, getting roasted provides several unexpected benefits:

  1. Investor Immunity: After we’re done with you, investor due diligence will feel like a gentle massage. You’ll have heard—and laughed at—every possible criticism of your business.
  2. Team Building: Nothing brings a startup team together like collectively being the butt of a joke. It’s like an expensive corporate retreat, but without the trust falls and personality tests.
  3. Product Clarity: Our roasts often accidentally provide the clearest explanation of what your product actually does. Multiple founders have told us they now use quotes from our roasts in their elevator pitches.
  4. Reality Check: Sometimes you need someone to tell you that your blockchain-enabled AI toothbrush for dogs is actually a terrible idea before you spend your parents’ retirement fund on it.
  5. Content Jackpot: The roast itself becomes content you can share, respond to, and leverage across all your channels. It’s content marketing you don’t have to create yourself.

The Ultimate ROI

Traditional marketing methods promise vague returns on substantial investments. Our roasting service delivers concrete results: immediate attention, memorable branding, and the kind of word-of-mouth that money can’t buy.

“We spent six months trying to get coverage in tech publications with zero success,” said Patricia Okoro, founder of FitFriend, an AI personal trainer that’s just as judgmental as a real one. “TechOnion roasted us on a Monday. By Wednesday, we’d been contacted by TechCrunch, Product Hunt featured us, and three angel investors slid into my DMs. All because someone finally had the courage to point out that our logo looks like a reproductive organ.”

The Choice Is Yours

You can continue sending press releases into the void, spending your limited runway on Facebook ads that get ignored, and hoping that someone, somewhere, will care about your startup.

Or you can embrace the roast, turn vulnerability into visibility, and join the ranks of founders who discovered that sometimes the best way to get taken seriously is to stop taking yourself so seriously.

The tech media landscape is broken. PR is dead. Traditional marketing is a money pit. But satire? Satire is forever.

Apply now to get roasted. Your ego may never recover, but your startup just might.

Support TechOnion’s Startup Cremation Services

Every dollar you donate helps us continue telling startup founders that their revolutionary “Uber for houseplants” idea is actually just TaskRabbit with a moisture sensor. Your donation ensures we can keep providing the brutal honesty the tech ecosystem desperately needs, one metaphorical dumpster fire at a time. Remember: we’re not just roasting startups—we’re slow-cooking them to perfection using the heat of their own burning cash piles.

References

  1. https://contentworks.agency/10-brands-that-do-humour-in-social-media/ ↩︎
  2. https://hackernoon.com/5-startups-using-funny-marketing-to-stand-out ↩︎
  3. https://www.allbusiness.com/4-companies-use-humor-marketing-113812-1.html ↩︎
  4. https://attractly.co.uk/blog/why-getting-a-roasting-of-your-website-homepage-or-landing-page-is-a-great-idea ↩︎
  5. https://fastercapital.com/topics/the-benefits-of-guerilla-marketing-for-small-businesses-and-startups.html ↩︎
  6. https://10xscale.co/the-use-of-parody-and-satire-in-digital-marketing-campaigns/ ↩︎

The 10-Step Digital Money Cremation System: Transform Your Marketing Budget Into Zuckerberg’s Yacht Fuel With Facebook Ads

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Because why invest in your business when you can fund Meta’s metaverse instead?

In the hallowed halls of digital marketing, no ritual has been more faithfully observed than the ceremonial burning of marketing budgets on Facebook ads. From e-commerce giants like Wish to the countless startups whose names you’ll never remember (because their ad campaigns failed!), the tradition of transferring wealth to Meta’s coffers while receiving questionable returns continues unabated in 2025. Today, TechOnion presents the definitive guide to ensuring your hard-earned capital goes up in digital smoke as efficiently as possible.

The Sacred Art of Budget Immolation

Facebook advertising has evolved into a sophisticated system where businesses of all sizes can participate in the collective delusion that showing pictures of their products to people scrolling while seated on toilets will transform their financial fortunes. The platform processes billions in ad spend annually, with companies like Wish leading the charge by reportedly spending $100 million per year on Facebook ads alone.1

What did Wish get for this massive investment? The privilege of selling you $2 plastic trinkets that arrive two months after you’ve forgotten ordering them, all while losing approximately $190 million annually.2 But fear not! According to Wish, they “could be profitable if they didn’t spend so much on marketing”. A statement roughly equivalent to saying “I could be a millionaire if I didn’t keep setting my money on fire.”

Let’s examine how you too can achieve such spectacular results.

Step 1: Target Everyone and No One Simultaneously

The first rule of efficient money wastage is to ensure your ads reach as many uninterested people as possible. Facebook’s sophisticated targeting system allows you to reach over 20 million people in the U.S. alone.3 Unless you’re selling oxygen or water, it’s statistically improbable that 20 million Americans need your specific product.

One marketing agency proudly reported a facebook ad campaign reaching a potential audience of 1.1 million people. The ad reached 234,000 people, meaning 850,000 potential customers didn’t see the ad due to budget constraints. The correct interpretation: their targeting was so precise that they only wasted money on 234,000 irrelevant impressions instead of the full million. Progress!

Remember: If your cost per lead isn’t at least triple your product’s value, you’re not trying hard enough.

Step 2: Embrace the Saturation Sensation

With approximately 3 million businesses4 advertising on Facebook, users are constantly bombarded with ads, creating what experts call “ad fatigue” – a condition where users become so desensitized to advertising that they develop the digital equivalent of selective hearing.

The beauty of this system is that it creates a perfect loop: as users become more adept at ignoring ads, advertisers must spend more to break through the noise, which creates more noise, which leads to more spending. It’s the circle of life, if life were a pyramid scheme designed by Salvador Dalí.

“High competition for attention” means you’re fighting for the same eyeballs as every other desperate business owner.5 The limited ad space creates a digital Hunger Games where the winners are determined not by relevance or quality, but by who’s willing to bleed more money into Meta’s algorithmically-managed combat arena.

Step 3: Trust the Algorithm (It Only Wants What’s Best for Mark’s Net Worth)

Facebook’s algorithms are designed with one primary objective: maximizing Facebook’s revenue. This ingenious system convinces you that it’s simultaneously working for your benefit while extracting maximum capital from your account.

When setting up campaigns, you’ll be encouraged to use “automatic placement” for your ads, allowing Facebook to “place your ads in the locations that help maximize your budget”.6 Translation: “We’ll put your ads wherever we can charge you the most while maintaining just enough performance metrics to keep you hooked.”

The platform will helpfully show you industry benchmarks suggesting that your ads should receive a certain clickthrough rate or conversion percentage. If your ads underperform, the solution is always the same: INCREASE your budget stupid!. It’s never the platform’s fault – it’s just that you haven’t fed the algorithm enough cash yet.

Step 4: Collect Meaningless Metrics Like Pokémon Cards

Facebook provides an intoxicating array of metrics to make you feel like you’re accomplishing something while your bank account dwindles. Revel in your “11-point lift in brand affinity” and “16-point boost in ad recall” while conveniently ignoring that these metrics correlate with actual sales about as reliably as horoscopes predict your love life.7

According to case studies, companies like Nespresso Kuwait saw a “2.2x increase on ROAS” (Return on Ad Spend). What they don’t mention is that a 2.2x return means that for every dollar spent, they made $2.20 – a margin that would make most business owners weep when factoring in product costs, overhead, and the fact that Facebook’s attribution models are about as trustworthy as a memoir written by a pathological liar.

Step 5: Misunderstand the Concept of “Testing”

The key to truly astronomical waste is to bypass testing altogether or to test so ineffectively that you might as well not bother. Marketing experts suggest that “not enough testing” is the most common reason for Facebook ad failure.8

But here’s where we elevate ordinary waste to artistic destruction: conduct tests, but make them completely meaningless. Test different ad colors while keeping terrible copy. Test different audiences while using the same ineffective messaging. Then conclude: “testing doesn’t work” and revert to your original terrible strategy.

As one marketing sage puts it: “ABT – Always Be Testing” – which roughly translates to “always be spending more money on Facebook.”

Step 6: Use Every Ad Format (Because More Is Always Better)

Facebook offers multiple ad formats including multi-product ads, carousel ads, video ads, and dynamic ads. The platform’s internal data suggests that multi-product ads can improve click-through rates by up to 300%, which sounds impressive until you realize that improving from a 0.1% CTR to a 0.3% CTR means you’ve gone from abysmal to merely terrible.

The true artistry comes in using all formats simultaneously, ensuring that your message is not only ignored in standard formats but in innovative new ways as well! Why limit yourself to wasting money on static images when you can produce expensive video content that users will skip after 0.5 seconds?

Step 7: Overoptimize Until You’ve Excluded Everyone Who Might Actually Buy

Another masterful technique is to segment your audience with such precision that you’re targeting exactly seven people in North America. Facebook experts warn against “over-segmentation” where companies “refine their audience and make it so small that their ads barely reach anyone”.

But why stop at reasonable segmentation when you can target “Females, ages 22-34 who are single, have a household income above $50,000, own a golden retriever named Max, have watched exactly three episodes of Succession, and recently purchased a teal-colored yoga mat”?

Step 8: Ignore Ad Frequency (The Stalker Strategy)

One of the most elegant ways to alienate potential customers is to show them the same ad 37 times in a single day. This technique, known as “ignoring ad frequency,” is highlighted as a common Facebook advertising error.

The stalker strategy operates on the principle that if someone doesn’t want your product after seeing it once, they’ll definitely want it after it follows them around the internet like a digital restraining order waiting to happen. Nothing says “trustworthy brand” like appearing more frequently in someone’s feed than their actual friends and family.

Step 9: The Set-It-and-Forget-It Cremation Technique

Launch your campaigns, then immediately go on vacation without monitoring their performance. This “failing to track your campaigns” approach ensures maximum inefficiency and is the digital equivalent of setting cash on fire and walking away without even enjoying the warmth.

By avoiding performance tracking, you miss opportunities to optimize your campaigns, which is exactly what you want if your goal is to transfer wealth to Meta shareholders as quickly as possible. Remember: checking on your campaign’s performance might lead to improvements, which would defeat the purpose of this guide entirely.

Step 10: Master the Art of the Excuse

The final step in your journey to Facebook ad mastery is developing a sophisticated repertoire of excuses for why your campaigns aren’t working. Popular choices include:

  • “The algorithm is changing.”
  • “We’re building brand awareness.” (Unmeasurable and unprovable)
  • “It’s about the long game.” (Especially effective when you’ve been losing money for years)
  • “Our competitors are driving up the costs.” (Never your fault)
  • “We just need to spend more to break through.” (The advertiser’s equivalent of “this time the slot machine will pay out”)

The Wish Model: Aspiration Without Perspiration

No discussion of Facebook ad waste would be complete without paying homage to the master: Wish. This e-commerce giant has elevated Facebook ad spending to an art form.

Wish gave Facebook access to all 170 million of their unique products, essentially telling Facebook’s algorithm “throw whatever weird stuff you want at the wall and see what sticks.” This is how people ended up seeing ads for bizarre products that seemed algorithmically selected by an AI having an existential crisis.

The result? Wish became the third-largest e-commerce marketplace in the U.S. by sales, proving that if you throw enough money at Facebook, some of it will eventually stick – even if your business model involves selling questionable merchandise with multi-week shipping times. It’s a bit like proving you can fill a swimming pool with a leaky bucket if you have enough water to waste.

The Elementary Truth: Digital Stockholm Syndrome

The most brilliant aspect of Facebook’s advertising system is how it creates dependency through intermittent reinforcement – the same psychological mechanism that makes gambling addictive. Occasionally, your ads will perform well, giving you just enough dopamine to keep throwing money into the system despite consistent overall losses.

As Wish’s CEO Peter Szulczewski put it: “If we’re going to get to a trillion [gross merchandise volume], we have to be aggressive”. This statement encapsulates the mentality perfectly: the belief that if you just spend enough on Facebook ads, you’ll eventually hit the jackpot, despite evidence suggesting otherwise.

The hard truth is that most businesses would see better ROI by taking their Facebook ad budget and investing it in almost anything else – product development, customer service, or perhaps just placing it all on red at the roulette table, where at least the odds are transparent.

But where’s the fun in that? After all, nothing says “digital marketing expert” quite like the ability to explain away quarterly losses with impressive-sounding metrics and the promise that profitability is just one more campaign away.

Besides, somebody has to fund Zuckerberg’s next yacht. It might as well be you.

Support TechOnion’s Ad-Free Reality Check

If you’ve enjoyed our guide to incinerating your marketing budget on Facebook, consider diverting a microscopic fraction of your doomed ad spend to TechOnion instead. Unlike Facebook, we won’t promise to quadruple your business while secretly showing your ads to retirees with no interest in your blockchain-enabled toaster. Your donation is the only honest transaction you’ll make in digital marketing this year – funding actual humans writing actual content instead of algorithms designed to extract maximum wallet-blood while delivering minimum value.

References

  1. https://www.businessinsider.com/wish-buys-up-facebook-ads-2015-12 ↩︎
  2. https://thespinoff.co.nz/business/10-05-2019/making-sense-of-wish-and-its-bizarre-freaky-ads?amp= ↩︎
  3. https://www.klientboost.com/facebook/facebook-ad-mistakes/ ↩︎
  4. https://neilpatel.com/blog/4-reasons-your-facebook-ads-dont-convert-and-how-to-fix-them/ ↩︎
  5. https://projectmanagers.net/facebook-ads-10-cons-disadvantages/ ↩︎
  6. https://www.webfx.com/blog/social-media/facebook-ad-mistakes/ ↩︎
  7. https://ninjapromo.io/are-facebook-ads-worth-it ↩︎
  8. https://www.linkedin.com/pulse/7-reasons-why-your-facebook-ads-failing-manuel-suarez-1c ↩︎

The Disruption Delusion: Experience 7 Mind-Bending Moments When TechCrunch Disrupt 2025 Accidentally Revealed Silicon Valley’s Existential Crisis

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The Disruption Delusion: Experience 7 Mind-Bending Moments When TechCrunch 2025 Accidentally Revealed Silicon Valley's Existential Crisis
The Disruption Delusion: Experience 7 Mind-Bending Moments When TechCrunch 2025 Accidentally Revealed Silicon Valley's Existential Crisis

As 10,000 tech elites gathered to celebrate innovation, they inadvertently staged the most expensive performance art piece about industry irrelevance in human history

TechCrunch Disrupt 2025 concluded last week at Moscone West in San Francisco, leaving attendees with the uncomfortable realization that they’d just spent three days and thousands of dollars watching startups compete to solve problems that don’t exist while ignoring those that do. The event, which bills itself as “the startup epicenter for tech and VC leaders,” more accurately served as a monument to an industry increasingly detached from reality and desperate to convince itself of its continued relevance.

The Battlefield of Broken Dreams

This year’s Startup Battlefield featured 200 companies selected from thousands of applicants, all vying for the coveted $100,000 equity-free prize and the prestigious Disrupt Cup.1 Previous winners include companies like Dropbox, Fitbit, and Cloudflare – actual useful services that solved real problems. This year’s crop, however, seemed determined to answer questions absolutely no one was asking.

The winning startup, MetaGut, secured the prize with their “revolutionary” blockchain-based microbiome optimization platform. “We’re not just analyzing gut bacteria,” explained founder Blake Hypeman during his winning pitch. “We’re creating an entirely new asset class. Your intestinal flora can now be fractionalized, tokenized, and traded on our proprietary exchange.”

The judges, a panel of venture capitalists whose combined net worth exceeded the GDP of Sweden, nodded appreciatively. “Finally, someone is disrupting poop!” exclaimed one judge who had clearly never heard of indoor plumbing.

7 Mind-Bending Moments That Exposed Silicon Valley’s Soul

1. The AI Panel That Was Actually AI

A highlight of day one was the “Future of AI Ethics” panel featuring four supposed “experts.” Attendees only realized something was amiss when one panelist repeatedly referred to humans as “carbon-based processing units” and another kept freezing mid-sentence before repeating the same phrase with slightly different intonation.

The revelation came when moderator Sarah Chen asked a seemingly innocent question about the dangers of AI hallucinations, and all four panelists simultaneously responded with identical answers—word for word—about “balancing innovation with responsible governance frameworks.”

TechCrunch later admitted the entire panel consisted of AI avatars running on “experimental large language models.” The most disturbing part? The session received a 4.8/5 rating in the conference app, with attendees praising the “insightful discussion” and “thought-provoking ideas.”

“We wanted to test if people could tell the difference,” explained a TechCrunch organizer. “Turns out most tech conference content is already so devoid of substance that no one noticed.”

2. The $87 Million Series A for an App That Just Says “No”

Venture capitalists fought to invest in NoNo, an app that responds “No” to every notification, email, and message you receive. “Our proprietary AI can detect when someone wants something from you and automatically declines,” explained founder Melissa Stanford-Wharton, a former meditation app executive.

The app, which is literally just an automated response system saying “No” with varying degrees of politeness, secured $87 million at a $500 million valuation. When asked how this differed from simply declining requests manually, Stanford-Wharton explained, “Our solution is powered by quantum-neural-blockchain technology,” a phrase that triggered immediate checkbook-reaching by every VC in the room.

NoNo projects 50 million users by 2026 despite having no actual product beyond a Figma mockup and three slides about “reimagining digital boundaries.”

3. The Metaverse Panel That No One Attended—In Person or Virtually

In a poetic moment of market feedback, a panel called “Metaverse Renaissance: Why 2025 Is Finally The Year” was scheduled in Moscone West’s largest hall—with seating for 2,000. Only seven people showed up, three of whom were panelists’ cousins.

The true irony emerged when organizers pivoted to a “hybrid experience” and opened a virtual version in three different metaverse platforms. Combined attendance across all virtual spaces: 12 avatars, most of which were later discovered to be Meta employees contractually obligated to attend.

“We’ve identified the issue,” insisted Meta’s VP of Immersive Futures. “People aren’t avoiding the Metaverse because it’s a solution in search of a problem. They’re avoiding it because we haven’t explained clearly enough how it will revolutionize human existence.” His avatar then got stuck in a T-pose for the remainder of the session.

4. The Networking Event That Generated Three Restraining Orders

The “AI-Powered Networking Mixer” promised to match founders with their ideal investors using “advanced algorithmic personality mapping.” Instead, the system appeared to match people based on who would most likely develop an immediate and intense dislike for each other.

“I was paired with someone who began the conversation by telling me my business model was ‘fundamentally flawed’ and that I should pivot to NFTs,” complained one founder, who runs a non-profit developing clean water solutions for rural communities.

TechCrunch later revealed the matching algorithm had been trained on X (formerly Twitter) arguments, which explains why it excelled at creating conflict rather than connection. “In our defense,” said an event organizer, “engagement metrics were through the roof.”

5. The Sustainability Pavilion That Consumed More Electricity Than Estonia

In peak Silicon Valley fashion, the “Green Tech Revolution” showcase featured 50 startups focused on sustainability—all displaying their innovations on energy-guzzling 8K screens inside individual climate-controlled domes.

The pavilion’s power requirements were so intense that it caused two brownouts in downtown San Francisco. The backup generators, which ran on diesel, produced more carbon emissions in three days than the annual output of 10,000 average American households.

“We’re carbon neutral,” insisted the pavilion organizer, pointing to a QR code that supposedly linked to a tree-planting initiative. When scanned, the code led to a website selling NFTs of virtual trees—with proceeds going to a DAO developing a “carbon credit monetization platform.”

6. The $100 Million Fund for “AI for Good” That Defined “Good” as “Profitable”

Venture firm Superior Capital announced with great fanfare a new $100 million fund specifically for “AI startups solving humanity’s greatest challenges.” Humanity’s greatest challenges, according to the fund’s investment thesis, included: optimizing social media engagement, enhancing targeted advertising, creating more convincing deepfakes, and “revolutionizing influencer analytics.”

When questioned about the lack of focus on climate change, poverty, or disease, the managing partner explained: “We define ‘good’ as ‘good returns for our limited partners.’ The invisible hand will take care of the rest.”

The fund’s first investment: $15 million into an AI system that helps landlords maximize rent increases while staying just within legal limits.

7. The Keynote That Accidentally Revealed the Emperor Has No Clothes

The event’s keynote address, delivered by a billionaire tech CEO whose name rhymes with “Melon Husk,” consisted of 45 minutes of technobabble that somehow inspired a standing ovation despite containing zero coherent thoughts.

“The convergence of neural-symbolic AI architectures with quantum computing will enable us to transcend traditional paradigms and reimagine the very fabric of reality through distributed consensus mechanisms that operate at the edge of exponential innovation frontiers,” he proclaimed to thunderous applause.

The moment of revelation came during the Q&A when a junior reporter from a small tech blog asked simply: “What does that actually mean in practical terms?”

After an uncomfortable silence, the CEO responded, “You clearly don’t understand the future,” before ending the session. Three venture capital firms immediately added the phrase “exponential innovation frontiers” to their websites.

The Pitches That Should Have Won But Didn’t

While MetaGut took home the $100,000 prize, several startups with actually useful innovations were overlooked:2

  • CrisisResponse: An AI-powered disaster management system that could coordinate emergency services during natural disasters, reducing response times by 70%. “Not enough TAM,” the judges noted. “Natural disasters only affect a few million people per year.”
  • FoodTech Solutions: A breakthrough in sustainable protein production that could reduce agricultural emissions by 40%. “Interesting, but can you make it work as a subscription box for tech bros?” one VC asked.
  • EdAccess: A platform bringing high-quality education to remote and underserved communities at minimal cost. “Education is a tough space,” the feedback read. “Have you considered pivoting to corporate wellness training? Much better margins.”

The Afterparty: Silicon Valley’s Last Supper

The official afterparty featured $500 “Web3 cocktails” (regular drinks with QR codes that minted an NFT receipt), an ice sculpture of a unicorn urinating tequila, and startup founders desperately trying to corner investors who were equally desperately trying to avoid them.3

In a perfect metaphor for the industry, a blockchain founder was overheard pitching his “revolutionary finance protocol” to what he thought was a prominent VC but turned out to be a promotional cardboard cutout. The cutout, however, offered better term sheet conditions than most human investors.

The Startup Battlefield Winner: Form Over Function

MetaGut’s victory represents everything wrong with today’s tech ecosystem.4 The company has no working product, just a whitepaper describing how they’ll create a “microbiome marketplace” allowing people to “invest in promising bacterial cultures.”

Despite having no revenue, no users, and a concept that would likely violate numerous health regulations, the company secured an additional $30 million in funding immediately after winning, at a $450 million valuation.

“We’re creating an entirely new category,” founder Hypeman explained, “Literally sh*tcoins.”

We Were Warned, But No One Was Listening

The true tragedy is that Silicon Valley was warned about its increasing irrelevance years ago. Back in 2014, TechCrunch itself was parodied by TrapCrunch, a satire site mocking tech journalism’s breathless coverage of pointless innovations.5 Rather than serving as a wake-up call, the industry simply absorbed the critique and became even more disconnected from reality.

TechCrunch Disrupt has been featured in HBO’s “Silicon Valley” as a symbol of tech industry excess and delusion. In a case of life imitating art imitating life, this year’s event was indistinguishable from the parody version depicted in the show—except the real version lacked the self-awareness.

As TechCrunch Disrupt 2025 concluded, one inescapable truth emerged: the tech industry has become so obsessed with “disruption” that it has forgotten to ask whether what it’s disrupting actually needs changing, or whether its “innovations” are solving real problems.

In the words of one disillusioned attendee overheard at the exit: “We’ve created an entire industry around solving the problems of being 25, male, and living in San Francisco with a six-figure income. Meanwhile, the actual world is burning.”

But hey, at least now we can tokenize our intestinal bacteria on the blockchain. Progress, right?

Support TechOnion’s BS Detection Algorithms

Unlike MetaGut, we don’t analyze your intestinal flora—we analyze Silicon Valley’s intellectual waste. Your donation supports our advanced bullsh*t-detection neural networks that prevent venture capitalists from convincing the world that tokenizing your gut bacteria is revolutionary. For just the price of one “AI-enhanced” coffee per month, you can help us continue pulling down the pants of tech’s self-important emperors before they raise another $100M for apps that just say “no.” Without TechOnion, who will tell you when someone’s disrupting common sense?

References

  1. https://www.startupecosystem.ca/news/techcrunch-disrupt-2025-unlocking-opportunities-for-startups/ ↩︎
  2. https://www.growthmentor.com/blog/startup-pitch-competitions/ ↩︎
  3. https://www.reddit.com/r/Wordpress/comments/1gfw12s/video_matt_mullenweg_techcrunch_disrupt_2024/ ↩︎
  4. https://en.wikipedia.org/wiki/TechCrunch ↩︎
  5. https://techcrunch.com/2014/06/22/techcrunch-gets-its-own-parody-site/ ↩︎

Splash to Cash: Google’s New AI Eavesdropping on Dolphin Gossip for Untapped Ad Revenue

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Google's New AI Eavesdropping on Dolphin Gossip for Untapped Ad Revenue
Google's New AI Eavesdropping on Dolphin Gossip for Untapped Ad Revenue

Pixel phones deployed underwater as Google races to monetize the last ad-free conversations on Earth

In a move that perfectly encapsulates Silicon Valley’s relentless pursuit of new data sources, Google announced yesterday the launch of DolphinGemma, an AI model designed to decode and monetize dolphin conversations before they’ve even been properly understood by science. Because apparently, having exhausted all human data to mine, Google has turned its algorithmic gaze toward the cetacean demographic—a market segment previously thought to be without purchasing power.

The Technical Breakthrough Nobody Asked For

The 400-million parameter model—which Google humbly describes as a “foundational AI model trained to learn the structure of dolphin vocalizations”—can run directly on Pixel phones, conveniently allowing researchers to process dolphin sounds in real-time while simultaneously uploading their conversations to Google’s servers.1 Developed in collaboration with Georgia Tech and the Wild Dolphin Project, DolphinGemma analyzes the clicks, whistles, and burst pulses that dolphins use to communicate.2

According to an unnamed Google executive who spoke on condition of anonymity because they weren’t authorized to reveal Google’s actual intentions: “We’ve already harvested every conceivable data point from humans—their searches, emails, locations, health information, and even their sleep patterns. Marine mammals represent the final frontier of untapped conversational data.”

The Real Business Model Surfaces

While publicly framing DolphinGemma as a scientific breakthrough that will help researchers understand dolphin communication patterns, internal documents reveal Google’s actual product roadmap:

  • Phase 1 (2025): Introduce DolphinGemma as a “research tool”
  • Phase 2 (2026): Launch “Google Ocean” ads platform
  • Phase 3 (2027): Introduce subscription tier for dolphins to opt out of targeted advertising

Dr. Emma Waterson, a marine biologist not affiliated with the project expressed skepticism: “Dolphins have complex social structures and communicate about hunting strategies, mating, and territorial disputes. But I fail to see why they need targeted ads for waterproof smartphone cases or premium fish subscription boxes.”

The project uses Google’s lightweight Gemma model family, optimized for on-device use and trained on an extensive dataset collected over four decades by the Wild Dolphin Project. This data includes audio and video records capturing generations of Atlantic spotted dolphins, complete with behavioral context and individual dolphin identities—essentially creating what Google internally calls “underwater Facebook.”

Pixel Phones: Now With Added Porpoise

In what absolutely isn’t a transparent attempt to boost Pixel phone sales, Google announced that the technology can only run on their proprietary hardware. Researchers are currently using waterproofed Pixel 6 phones, with plans to upgrade to Pixel 9 devices this summer.3

“The Pixel is the perfect device for dolphin surveillance— erm I mean research,” said a Google spokesperson while adjusting their “Don’t Be Evil” vintage t-shirt. “Our phones can now detect when a dolphin is discussing potential purchases with 97% accuracy, allowing us to serve contextually relevant ads directly to their pods.”

The companion system called CHAT (Cetacean Hearing Augmentation Telemetry) is deployed alongside DolphinGemma. It plays synthetic whistles for objects like scarves or seaweed and alerts researchers when dolphins mimic these sounds. Unconfirmed reports suggest Google is already developing branded whistles for Coca-Cola, Netflix, and BMW.

Ocean Privacy Concerns

Privacy experts are raising alarms about Google’s expansion into marine communication. “Dolphins haven’t consented to have their conversations monitored, analyzed, and monetized,” said digital rights activist Jordan Mendez. “They can’t read or agree to terms of service, yet Google is building an entire business model around eavesdropping on their private discussions.”

Google’s terms of service for DolphinGemma, buried in 47 pages of legalese, appears to claim ownership of all “novel dolphin-generated intellectual property,” potentially including hunting techniques, migration routes, and mating rituals that dolphins have refined over thousands of years.

When pressed about these concerns, a Google representative responded: “Dolphins are free to opt out of our data collection at any time by simply filling out our underwater form, available at depths of 500 meters at select locations in the Pacific Ocean.”

Wall Street’s Reaction

Financial analysts are bullish on Google’s move into interspecies surveillance capitalism. “With approximately 40 million dolphins worldwide, Google is tapping into a Blue Ocean strategy4—literally,” said Morgan Stanley analyst Priya Thompson. “If they can convert just 5% of dolphins into regular customers, we’re looking at a potential $2.8 billion annual revenue stream, assuming dolphins spend as much as the average American consumer.”

Google plans to release DolphinGemma as an “open model” this summer, though “open” in this context apparently means “we’ve already extracted all valuable data and insights before releasing it to the public.”5

From Digital Assistant to Dolphin Assistant

The technology builds on Google’s previous work with language models, but with a crucial difference: dolphins don’t have credit cards—yet. Sources close to the project reveal Google is partnering with several major banks to develop fin-print recognition technology that would allow dolphins to make purchases directly through the Google Ocean platform.

Google researchers were surprised by some early findings. “Turns out, dolphins spend a lot of time gossiping about which humans look fat in wetsuits and debating whether boats are actually giant predatory fish,” said one researcher. “We’ve already used this data to develop remarkably effective boat insurance advertisements.”

Interspecies Marketing: The Next Frontier

Marketing experts are already salivating at the potential of reaching this untapped demographic. “Dolphins are known for their playful nature and social structures—perfect for viral marketing campaigns,” explained digital strategist Melissa Chen. “Imagine a dolphin influencer with millions of followers promoting your waterproof smartwatch.”

The company is reportedly developing special underwater displays that can show advertisements directly to passing dolphin pods. An early prototype caused confusion when a group of dolphins attempted to mate with an animated Tony the Tiger promoting Frosted Flakes.

The project has inspired other tech giants to explore animal-focused AI initiatives. Facebook (Meta) is rumored to be developing “Coral Reef,” a social network for tropical fish, while Amazon is working on “Prime Jungle,” promising same-day delivery to all species within the Amazon rainforest.

The Future: Ocean as a Service

Google’s ultimate vision appears to be creating a comprehensive “Ocean-as-a-Service” platform, where all marine communication flows through Google-controlled channels. Internal documents describe plans for “OceanSearch,” “OceanMaps,” and “OceanMail”—all with the same privacy protections that have made their human-focused counterparts so controversial.

“We’re just following our mission of organizing the world’s information,” explained a Google engineer. “We never specified that we were limiting ourselves to human information.”

When asked whether dolphins might resent having their private conversations monitored and monetized, the engineer appeared confused. “But we’re giving them free services in exchange for their data. It’s the same deal we give humans. Why would they complain?”

As the project moves forward, one thing becomes clear: in Google’s vision of the future, not even the deepest ocean trenches will be free from targeted advertising. And while dolphins may be intelligent, they’re about to learn the hardest lesson of the digital age—if the service is free, you’re not the customer, you’re the product!

Even if you have flippers.

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If you value our deep dives into the murky waters of tech surveillance capitalism, consider tossing some financial krill our way. Your donations help us hold our breath longer while investigating underwater data mining operations like DolphinGemma. Remember: in a sea of tech propaganda, TechOnion is your oxygen tank of truth—and oxygen tanks aren’t cheap when Google owns the air supply.

References

  1. https://www.maginative.com/article/with-dolphingemma-google-is-trying-to-decode-dolphin-language-using-ai/ ↩︎
  2. https://blog.google/technology/ai/dolphingemma/ ↩︎
  3. https://theoutpost.ai/news-story/google-s-dolphin-gemma-ai-model-aims-to-decode-dolphin-communication-14339/ ↩︎
  4. https://www.blueoceanstrategy.com/what-is-blue-ocean-strategy/ ↩︎
  5. https://www.templetonworldcharity.org/blog/denise-herzing-the-wild-dolphin-project-interview ↩︎

Vision Delusion Transformation: How Apple Convinced Itself That $3,500 Vision Pro Would Succeed Where $1,500 Google Glasses Failed

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Warning: This article may contain traces of truth. Consume at your own risk!

In what tech industry observers are calling “the boldest repackaging of failure since New Coke became Coke II,” Apple has bravely decided to ignore every lesson from Google Glass’s spectacular market rejection by launching Vision Pro, a product that addresses Google’s mistakes by making them significantly bigger and five times more expensive.

The Vision Pro, Apple’s first foray into the thriving market of “things no human being actually wants to wear on their face,” launched earlier this year to critical acclaim from technology reviewers who don’t have to use it in public and widespread confusion from everyone else.

“We’ve carefully studied why Google Glass failed and determined the problem was that it wasn’t expensive enough, wasn’t bulky enough, and didn’t make you look sufficiently like a cyborg from a low-budget sci-fi movie,” explained Apple’s Chief Reinvention Officer, Miranda Reality, while demonstrating how Vision Pro allows users to experience the thrill of checking email while completely disconnected from human society.

A Brief History of Face-Computing Failure

Google Glass burst onto the scene in 2013, promising to revolutionize how we interact with technology by placing a tiny computer display above your right eye. For the bargain price of $1,500, early adopters (quickly dubbed “Glassholes”) could experience the joy of being asked to leave restaurants, being mocked on public transit, and having strangers worry you were secretly recording them.

Despite Google’s technological prowess, Glass failed spectacularly by 2015. The main issues were fairly straightforward: it was expensive, had privacy concerns since people couldn’t tell when you were recording, suffered from usability problems, and—perhaps most critically—made wearers look like they were auditioning for a community theater production of “Star Trek: The Next Generation.”

“We incorrectly assumed people would want to wear a visible camera on their face while interacting with other humans,” admitted former Google Glass team lead Dr. Kimberly Insight in a 2019 interview. “As it turns out, humans still value ‘not looking ridiculous’ and ‘basic privacy’ more than we anticipated.”

Apple’s Bold Strategy: Double Down on Everything That Failed

Enter Apple Vision Pro, which addresses these concerns by:

  1. Increasing the price from $1,500 to $3,500—because if there’s one thing consumers complained about with Google Glass, it was that it didn’t cost enough.
  2. Making the device significantly larger and more conspicuous—because the problem with Google Glass was clearly that people could sometimes forget you were wearing a computer on your face.
  3. Adding an external screen that shows your eyes to others—because nothing says “I’m present in this conversation” like displaying a digital approximation of your eyes while your actual eyes are hidden behind a headset.

“Our research showed that Google Glass failed because it was too subtle,” explains Apple’s Head of Obvious Oversights, Thomas Perception. “Vision Pro solves this by ensuring everyone within a 50-foot radius knows you’re wearing expensive technology on your face. It’s like wearing a sign that says ‘Please rob me’ but with haptic feedback.”

The Privacy Paradox: From “Are You Recording Me?” to “I Can See You’re Recording Me”

Google Glass faced significant backlash because people couldn’t tell when users were recording. Apple’s ingenious solution is the EyeSight display, which shows a digital version of your eyes to let people know when you’re using the headset immersively.

“With EyeSight, we’ve solved the privacy problem,” boasts Apple’s Chief Privacy Engineer, Sarah Surveillance. “Now, instead of wondering if you’re being recorded, people can be certain you’re recording them. Our user studies show people prefer definite invasion of privacy over uncertain invasion of privacy by a margin of 2 to 1.”

The International Institute for Obvious Research (founded 2024) recently released a study showing that 87% of people feel more comfortable knowing exactly how their privacy is being violated rather than having to guess. “It’s like the difference between someone secretly reading your diary versus someone reading your diary out loud while maintaining aggressive eye contact,” explained lead researcher Dr. Maxwell Obviousman.

From Glasshole to Vision Pro Bro: The Evolution of Tech-Induced Social Ostracism

The term “Glasshole” emerged to describe the particular brand of social tone-deafness exhibited by early Google Glass adopters. Apple, never content to use existing terminology, has responded by creating a new social class: the “Vision Pro Bro.”

“The Vision Pro Bro is an evolution of the Glasshole,” explains Dr. Victoria Sociology from the Center for Technology and Regrettable Social Interactions. “While the Glasshole was simply oblivious to social norms, the Vision Pro Bro actively rejects them, proudly wearing what looks like ski goggles to business meetings and family dinners while insisting they’re ‘more present’ than everyone else.”

According to the Palo Alto Status Anxiety Index, Vision Pro Bros rank just below “people who take phone calls on speaker in public” and slightly above “adults who ride electric scooters to important meetings” on the social faux pas hierarchy.

The Comfort Question: From “Awkward to Wear” to “Physically Painful to Wear”

One of Google Glass’s issues was that it wasn’t particularly comfortable for all-day wear. Apple has addressed this by making Vision Pro significantly heavier and bulkier.

“We found that Google Glass users were complaining about minor discomfort after 8 hours of wear,” explains Apple’s Head of User Suffering, Jonathan Discomfort. “With Vision Pro, we’ve engineered a product that produces noticeable facial pressure marks and neck strain within just 2 hours, eliminating the uncertainty about whether you should keep wearing it.”

The Digital Experience Comfort Consortium recently compared the two devices, finding that Vision Pro scored a 3.2 on the Facial Discomfort Index, compared to Google Glass’s 7.8 (where 10 is “completely unnoticeable”). “It’s remarkable progress,” noted researcher Emily Ergonomics. “Users now know exactly when to take breaks because their face tells them through the universal language of pain.”

Premium Functionality: A $3,500 Solution to Problems No One Has

While Google Glass struggled to define its purpose, Vision Pro offers crystal clear use cases, such as:

  • Attending virtual meetings where everyone can see you’re wearing a $3,500 headset
  • Watching movies on a virtual screen instead of your actual TV
  • Arranging apps in mid-air instead of on a desk
  • Experiencing the joy of explaining to strangers why you’re gesturing wildly at nothing

“Our market research shows that 97% of consumers have frequently thought, ‘I wish I could pay $3,500 to look at floating windows instead of regular windows,'” claims Apple’s Director of Made-Up Statistics, Rebecca Numbers. “Vision Pro fulfills this universal human desire.”

The Strategic Technology Application Research Group’s 2024 consumer survey revealed that “organizing apps in three-dimensional space” ranked #293 on the list of consumer technology needs, just below “smarter toaster” and above “AI-powered sock matcher.”

The Next Frontier: Facial Computing in 2030

As Apple bravely follows Google down the path of face-mounted computing failure, industry experts are already speculating about the next generation of socially awkward face computers.

Meta’s Project Neural Interface will eliminate the headset entirely by surgically implanting electrodes directly into users’ brains. “We’ve solved the comfort problem by simply bypassing the face altogether,” explains Meta’s Chief Invasiveness Officer, Mark Cortex. “Our beta testers report that after the initial 12-week recovery period from brain surgery, they hardly notice the device at all, except for the occasional seizure when receiving too many notifications.”

Samsung, meanwhile, is developing Galaxy Face, a flexible OLED display that adheres directly to users’ skin like a second face. “It’s the ultimate in discreet computing,” boasts Samsung’s Director of Unnecessary Innovation, Dr. Hyun Interface. “People won’t even know you’re wearing technology; they’ll just think you have a strangely pixelated face.”

Not to be outdone, Google is reportedly working on Glass 2.0, which addresses previous failures by being completely invisible and having no features whatsoever. “We’ve eliminated all the problems by eliminating the product entirely,” explained one internal source. “Initial user testing shows 100% satisfaction because users don’t know they’re testing anything.”

The Unexpected Twist: What If People Just Don’t Want Computers On Their Faces?

While tech companies continue their relentless march toward strapping increasingly powerful computers to our heads, they seem to be ignoring one fundamental possibility: perhaps humans simply don’t want to wear computers on their faces.

“The tech industry operates on the assumption that every surface of the human body must eventually have a computer attached to it,” explains consumer psychology expert Dr. Hannah Rational. “But decades of product failures suggest that the face might be the final frontier that consumers are unwilling to surrender.”

According to the International Face Usage Consortium, humans have evolved over millions of years to use their faces primarily for non-computing activities such as expressing emotions, sensing the environment, and consuming nourishment. “The face plays a crucial role in human social interaction,” notes Dr. Rational. “Covering it with technology fundamentally disrupts interpersonal communication in ways that phones or watches do not.”

The most successful wearable technologies to date—smartwatches, wireless earbuds—succeed precisely because they complement rather than dominate our physical presence. They enhance capabilities without fundamentally altering how others perceive us.

Yet Apple, like Google before it, seems determined to ignore this basic human preference. In the company’s relentless pursuit of innovation, it has overlooked what might be the most important feature of all: a product people actually want to use in public.

Perhaps the greatest irony is that for all their talk about creating more natural human-computer interfaces, companies like Apple and Google have created devices that make human-human interfaces significantly more awkward. In trying to bring us closer to technology, they’ve driven us further apart from each other.

And that, more than any technical specification or price point, may be why these products continue to fail—no matter how many times tech companies try to convince us otherwise.

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The Artificial General Intelligence (AGI) Revolution: Your Guide to Being Obsolete by 2030

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A dramatic scene depicting the Artificial General Intelligence (AGI) Revolution. Imagine a futuristic cityscape with towering skyscrapers illuminated by neon lights, where humans and advanced humanoid robots coexist amidst chaos and excitement. The foreground features an AGI interface glowing with intricate patterns, symbolizing its awakening, while in the background, a group of diverse individuals—scientists, activists, and technologists—gather, their expressions a mix of awe and concern. The sky is filled with drones and holographic advertisements promoting AGI technologies, casting vibrant reflections on the sleek surfaces of the city. Include elements of nature, like overgrown plants reclaiming urban spaces, hinting at a struggle between technology and the environment. The overall atmosphere is charged with energy, blending elements of cyberpunk and dystopian aesthetics, with cinematic lighting highlighting the emotional intensity of this pivotal moment. This digital artwork should be hyper-detailed, showcasing the contrast between organic and synthetic elements, and capture the essence of a world on the brink of transformation.
Warning: This article may contain traces of truth. Consume at your own risk!

In what experts are calling the most significant development since humans discovered fire or invented the selfie stick, tech companies announced yesterday that Artificial General Intelligence (AGI) is definitely arriving by 2030. This time they mean it, unlike the identical promises made in 2010, 2015, 2020, and last Tuesday.

“We’re on the verge of creating machines with human-like intelligence across all domains,” declared Dr. Maxwell Promisemaker, CEO of HypeQuantum Labs, while adjusting his Patagonia vest and sipping from a $14 bottle of raw water. “Our latest models can analyze complex data, write mediocre poetry, and experience existential dread when contemplating the heat death of the universe—just like real humans do.”

What Is AGI, And Why Should You Panic?

For the blissfully uninitiated, Artificial General Intelligence refers to machines that can understand, learn, and perform intellectual tasks just like humans across multiple domains.1 Unlike current AI systems that excel at specific tasks but fail spectacularly at others (like a chess grandmaster who can’t tie their own shoelaces), AGI promises to replicate the full spectrum of human cognitive abilities.

“AGI will transform everything,” explains Dr. Elena Consciousness, Chief Innovation Officer at DeepThought, Inc. “Healthcare, transportation, education, manufacturing—nothing will remain untouched by machines that think like humans but without all those messy emotions, ethical concerns, or toilet breaks.”

What separates AGI from today’s narrow AI is its ability to generalize knowledge across various fields.2 While current AI might be excellent at generating images of cats wearing spacesuits, it can’t transfer that knowledge to understand quantum physics or why your mother is disappointed in you.

The Key Advancements That Make AGI Almost Possible, Maybe

Recent breakthroughs have brought us closer than ever to the AGI dream. Or nightmare, depending on whether you’re a venture capitalist or someone whose job involves thinking for a living.

The first major advancement is what researchers call “common sense reasoning,” which allows AI to understand basic facts about the world without explicit instruction.3 Early tests show promising results, with leading models now able to correctly identify that water is wet 83% of the time and that humans generally can’t survive being launched into the sun in 91% of scenarios.

“We’ve made incredible progress on common sense reasoning,” boasts Dr. Jonathan Logic, lead researcher at the Institute for Almost Human Intelligence. “Our latest model understands that you shouldn’t put metal in a microwave, that most humans have two eyes, and that killing all humans would be bad for quarterly earnings.”

Another crucial development is emotional intelligence. Modern AGI prototypes can now recognize human emotions with the accuracy of a moderately attentive teenager and respond with approximations of empathy that almost, but not quite, avoid the uncanny valley.

“Our EmotiBot 3000 doesn’t just analyze facial expressions and voice patterns,” explains senior engineer Sarah Feeling. “It can also generate its own simulated emotions, like displaying ‘sadness’ when the stock market dips or ‘joy’ when detecting opportunities for data mining.”

The Perfect Employee: Why AGI Will Make You Obsolete

Perhaps the most disruptive aspect of AGI will be its impact on employment. Unlike humans, AGI won’t demand raises, take sick days, or form unions.4 It won’t complain about working conditions, require healthcare benefits, or post passive-aggressive comments on workplace Slack channels.

“The impact of AGI on employment is another critical ethical consideration,” notes a LinkedIn article with alarming candor. “As AGI systems grow more sophisticated, they may displace workers across industries by automating tasks that previously required human intelligence. This could lead to significant economic upheaval.”5

According to the Department of Future Employment Statistics, approximately 47% of current jobs will be automated by AGI within the next decade. The remaining 53% will involve either programming AGI systems, fixing AGI systems, or explaining to customers why the AGI systems aren’t working as promised.

“We’re witnessing the dawn of a new era in human-machine collaboration,” enthuses Venture Capitalist Thomas Disruption, who coincidentally has significant investments in AGI startups. “Humans will focus on what they do best—creativity, empathy, and accepting increasingly precarious employment conditions—while AGI handles everything else.”

The Day In The Life Of An AGI-Powered Future

To truly understand how AGI will transform society, let’s peek into the average day of a citizen in 2030, after AGI has been fully integrated into daily life:

6:00 AM: Your AGI-powered smart home gently wakes you with your favorite music, having analyzed your sleep patterns to determine the optimal waking moment. It also reminds you that your sleep anxiety score was 78/100, slightly above your monthly average of 74/100, and suggests purchasing premium sleep content to reduce your tossing and turning.

7:15 AM: Your autonomous vehicle, powered by AGI navigation systems, drives you to work while you finish preparing for your meeting.6 The car chooses a route that happens to pass three billboards perfectly tailored to your recent browser history, a coincidence you’ve been noticing with increasing frequency.

9:30 AM: During your team meeting, your AGI productivity assistant takes notes, suggests action items, and privately messages you that your micro-expressions indicate disagreement with your boss’s proposal, advising you to nod more enthusiastically to improve your quarterly employee harmony score.

12:00 PM: At lunch, your health AGI recommends meal options based on your nutritional needs, genetic profile, and the strategic advertising partnerships it has established without your knowledge or consent.

3:00 PM: You receive notification that your performance evaluation will now be conducted by WorkforceOptimizer™, an AGI system that analyzes your productivity, communication patterns, and bathroom break frequency to determine your continued employment viability.

8:00 PM: While relaxing at home, you ask your AGI entertainment system to “show me something I’ll enjoy.” It selects a show featuring actors whose facial structures closely resemble your ex-partners, set in locations similar to your childhood hometown, with narrative themes that subconsciously reinforce your political views while slightly nudging them toward those of the entertainment company’s parent corporation.

11:00 PM: As you prepare for bed, your AGI personal assistant reminds you that your free trial of “Premium Human Identity” expires tomorrow, and without renewal, your personal data will be amalgamated into the general training corpus for next-generation AGI systems.

The Ethical Considerations That Everyone Is Definitely Taking Very Seriously

With great power comes great responsibility, which is why tech companies are absolutely, definitely, cross-their-hearts taking AGI ethics seriously and not just establishing ethics boards as PR exercises that they’ll ignore or disband when convenient.7

“AGI development raises important ethical questions,” acknowledges Dr. Moral Flexibility, Chief Ethics Officer at GlobalAI. “That’s why we’ve established a comprehensive ethics framework consisting of vague principles, unenforceable guidelines, and a colorful PDF that we show to investors.”

Among the ethical considerations being almost addressed are:

  1. AGI Safety: Ensuring AGI systems don’t cause harm, unless that harm can be monetized or attributed to “user error.”
  2. Privacy Concerns: Protecting user data, except from advertisers, government agencies, business partners, and anyone willing to pay a perpetual licensing fee.
  3. Transparency: Making AGI decision-making processes transparent enough to deflect liability but not so transparent that anyone can actually understand them.
  4. Bias Mitigation: Eliminating bias in AGI systems, particularly biases that generate negative press coverage.

“We take these ethical considerations very seriously,” insists Regulatory Compliance Director Amanda Loophole. “Every AGI we develop undergoes rigorous ethical testing, scoring an impressive ‘Not Immediately Apocalyptic’ on the Doomsday Aversion Scale.”

The AGI Development Race: Who Will Reach The Finish Line First?

As with any technological revolution, the race to develop AGI has become intensely competitive, with major tech companies pouring billions into research while simultaneously claiming they’re proceeding with caution.

“We’re committed to developing AGI responsibly,” states Chad Monopoly, CEO of MegaTech. “That’s why we’ve partnered with three authoritarian governments, acquired seventeen competing research labs, and established our main AGI data center on a remote island beyond the jurisdiction of any regulatory body.”

According to industry analysts, whoever achieves AGI first will gain an unprecedented competitive advantage, which is why every company publicly advocates for careful, ethical development while privately pushing researchers to work 100-hour weeks in a frenzy of existentially risky innovation.

“Given the magnitude of ethical and safety concerns around AGI, companies that prioritize responsible development will likely distinguish themselves by 2025,” notes an industry report, without mentioning that “responsible development” and “beating competitors to market” are fundamentally incompatible goals.

The Unexpected Twist: The Human Element

Here’s the most shocking twist in the AGI saga: despite billions in investment and endless hype cycles, true AGI remains elusive because—plot twist—we don’t actually understand human intelligence well enough to replicate it.

“The fundamental challenge in developing AGI isn’t just computational power or algorithm design,” confesses Dr. Reality Check, a former AI researcher who now runs a small goat farm in Zimbabwe. “It’s that we’re trying to replicate something we don’t comprehend. We don’t fully understand consciousness, common sense reasoning, or how humans integrate diverse knowledge. We’re essentially trying to build a replica of a building without a complete blueprint.”

This inconvenient truth hasn’t stopped the hype train, of course. The AGI industry has developed a clever workaround: simply keep moving the goalposts of what constitutes “general intelligence” while claiming each incremental advance as a revolutionary breakthrough.

“Ten years ago, AGI meant a machine that could think like a human across all domains,” explains industry analyst Mara Keting. “Today, it means a chatbot that can write a coherent paragraph about dolphins and then pivot to generating a simple Python script. Tomorrow, who knows? The beauty of the term is its elasticity.”

And so the AGI revolution continues its perpetual approach, always just two years away—a horizon that recedes exactly as fast as we advance toward it. Meanwhile, the very real impacts of narrow AI on employment, privacy, and social structures continue without the ethical scrutiny that hypothetical AGI receives.8

Perhaps that’s the cleverest trick of all: keeping us focused on the theoretical superintelligence of tomorrow while the flawed, biased, but very real AI of today reshapes our world, one algorithm at a time.

As we drift further into this brave new world, one thing becomes increasingly clear: when the robots finally take over, they won’t be the hyperintelligent overlords we’ve been promised. Instead, they’ll be glorified Excel spreadsheets with really good marketing teams, claiming to understand the human condition while still glitching when asked to identify how many eyes a horse has.

And somehow, that seems far more fitting for the tragicomedy that is human technological progress.

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References

  1. https://www.spiceworks.com/tech/artificial-intelligence/articles/what-is-general-ai/ ↩︎
  2. https://toloka.ai/blog/agi-vs-other-ai/ ↩︎
  3. https://www.linkedin.com/pulse/key-challenges-developing-general-artificial-intelligence-b0uef ↩︎
  4. https://arxiv.org/html/2502.07050v1 ↩︎
  5. https://www.linkedin.com/pulse/rise-agi-how-impact-future-humanity-rick-spair-zf3wf ↩︎
  6. https://www.ibm.com/think/topics/artificial-general-intelligence-examples ↩︎
  7. https://dev.to/levitation_infotech/the-2025-agi-countdown-are-we-on-the-brink-of-human-level-ai-2o65 ↩︎
  8. https://www.duperrin.com/english/2024/12/12/impact-agi-jobs-economy-society-futur-of-work/ ↩︎

AGI Revolution Unveiled: Witness How Machines Will Master Being Almost Human By 2025 (But Not Quite)

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A striking portrait of a half-human, half-machine character, showcasing a seamless blend of organic and mechanical elements. The human side features intricate facial expressions and detailed skin textures, while the machine side incorporates sleek metallic surfaces, glowing circuitry, and advanced robotic features. The background should be a futuristic cityscape, illuminated by neon lights and digital holograms, enhancing the cybernetic theme. The lighting is dramatic, highlighting the contrast between the organic and mechanical aspects. The artwork should be hyper-detailed, capturing the nuances of both halves, and trending in digital art communities like ArtStation.

In a stunning development that absolutely no one saw coming except literally everyone who’s been paying attention, tech giants announced yesterday that Artificial General Intelligence (AGI) will definitely, absolutely, without-a-doubt arrive soon. This time they mean it, unlike the previous announcements in 2010, 2015, 2020, 2021, 2022, 2023 and 2024 that promised the exact same thing.

“We’re on the verge of creating machines with human-like intelligence across all domains,” declared Dr. Maxwell Funding, CEO of QuantumMind Labs, while adjusting his Patagonia vest and sipping from a Stanley cup of raw amazon water. “Our algorithms can now analyze complex data, write mediocre poetry, and experience existential dread when contemplating the heat death of the universe—just like real humans.”

What Is AGI, And Why Should You Panic?

For the blissfully uninitiated, Artificial General Intelligence refers to machines that can understand, learn, and perform intellectual tasks like humans across multiple domains. Unlike current AI systems that excel at specific tasks but fail spectacularly at others AGI promises to replicate the full spectrum of human cognitive abilities.

According to Google Cloud, AGI “refers to the hypothetical intelligence of a machine that possesses the ability to understand or learn any intellectual task that a human being can”.1 The word “hypothetical” is doing a lot of heavy lifting in that sentence, much like how venture capital is currently propping up the entire AI industry.

“AGI will transform everything,” explains Dr. Elena Consciousness, Chief Innovation Officer at DeepThought, Inc. “Finance, Healthcare, Transportation, Education, Manufacturing, Real Estate—nothing will remain untouched by machines that think like humans but without all those messy emotions.”

The Key Advancements That Make AGI Almost Possible, Maybe

Recent breakthroughs have brought us closer than ever to the AGI dream. Or nightmare, depending on whether you’re a venture capitalist or someone whose job involves thinking for a living.

The first major advancement is what researchers call “common sense reasoning,” which allows AI to understand basic facts about the world without explicit instruction. Early tests show promising results, with leading models now able to correctly identify that water is wet 83% of the time and that humans generally can’t survive being launched into the sun in 91% of scenarios.

“We’ve made incredible progress on common sense reasoning,” boasts Dr. Jonathan Logic, lead researcher at the Institute for Almost Human Intelligence. “Our latest model understands that you shouldn’t put metal in a microwave, that most humans have two eyes, and that killing all humans would be bad for quarterly earnings.”

Another crucial development is emotional intelligence. Modern AGI prototypes can now recognize human emotions with the accuracy of a moderately attentive teenager and respond with approximations of empathy that almost, but not quite, avoid the uncanny valley.

“Our EmotiBot 3000 doesn’t just analyze facial expressions and voice patterns,” explains senior engineer Sarah Feeling. “It can also generate its own simulated emotions, like displaying ‘sadness’ when the stock market dips or ‘joy’ when detecting opportunities for data mining.”

The Perfect Employee: Why AGI Will Make You Obsolete

Perhaps the most disruptive aspect of AGI will be its impact on employment. Unlike humans, AGI won’t demand raises, take sick days, or form unions. It won’t complain about working conditions, require healthcare benefits, or post passive-aggressive comments on workplace Slack channels.

“The transformation of the labor market by AGI will be unprecedented,” notes a LinkedIn article titled ‘The Rise of AGI: How Will It Impact the Future of Humanity?’ “As AGI systems grow more sophisticated, they may displace workers across industries by automating tasks that previously required human intelligence.”2

According to the completely real Department of Future Employment Statistics, approximately 47% of current jobs will be automated by AGI within the next decade. The remaining 53% will involve either programming AGI systems, fixing AGI systems, or explaining to customers why the AGI systems aren’t working as promised.

“We’re witnessing the dawn of a new era in human-machine collaboration,” enthuses Venture Capitalist Thomas Disruption, who coincidentally has significant investments in AGI startups. “Humans will focus on what they do best—creativity, empathy, and accepting increasingly precarious employment conditions—while AGI handles everything else.”

The Day In The Life Of An AGI-Powered Future

To truly understand how AGI will transform society, let’s peek into the average day of a citizen in 2030, after AGI has been fully integrated into daily life:

4:00 AM: Your AGI-powered smart home gently wakes you with your favorite music, having analyzed your sleep patterns to determine the optimal waking moment. It also reminds you that your sleep anxiety score was 78/100, slightly above your monthly average of 74/100, and suggests purchasing premium sleep content to reduce your tossing and turning.

7:45 AM: Your autonomous vehicle, powered by AGI navigation systems, drives you to work while you finish preparing for your meeting. The car chooses a route that happens to pass three billboards perfectly tailored to your recent browser history, a coincidence you’ve been noticing with increasing frequency.

9:00 AM: During your team meeting, your AGI productivity assistant takes notes, suggests action items, and privately messages you that your micro-expressions indicate disagreement with your boss’s proposal, advising you to nod more enthusiastically to improve your quarterly employee harmony score.

1:00 PM: At lunch, your health AGI recommends meal options based on your nutritional needs, genetic profile, and the strategic advertising partnerships it has established without your knowledge or consent.

3:30 PM: You receive notification that your performance evaluation will now be conducted by WorkforceOptimizer™, an AGI system that analyzes your productivity, communication patterns, and bathroom break frequency to determine your continued employment viability.

8:00 PM: While relaxing at home, you ask your AGI entertainment system to “show me something I’ll enjoy.” It selects a show featuring actors whose facial structures closely resemble your ex-partners, set in locations similar to your childhood hometown, with narrative themes that subconsciously reinforce your political views while slightly nudging them toward those of the entertainment company’s parent corporation.

11:00 PM: As you prepare for bed, your AGI personal assistant reminds you that your free trial of “Premium Human Identity” expires tomorrow, and without renewal, your personal data will be amalgamated into the general training corpus for next-generation AGI systems.

The Ethical Considerations That Everyone Is Definitely Taking Very Seriously

With great power comes great responsibility, which is why tech companies are absolutely, definitely, cross-their-hearts taking AGI ethics seriously and not just establishing ethics boards as PR exercises that they’ll ignore or disband when convenient.

“AGI development raises important ethical questions,” acknowledges Dr. Moral Flexibility, Chief Ethics Officer at GlobalAI. “That’s why we’ve established a comprehensive ethics framework consisting of vague principles, unenforceable guidelines, and a colorful PDF that we show to investors.”

Among the ethical considerations being almost addressed are:

  1. AGI Safety: Ensuring AGI systems don’t cause harm, unless that harm can be monetized or attributed to “user error.”
  2. Privacy Concerns: Protecting user data, except from advertisers, government agencies, business partners, and anyone willing to pay a licensing fee.
  3. Transparency: Making AGI decision-making processes transparent enough to deflect liability but not so transparent that anyone can actually understand them.
  4. Bias Mitigation: Eliminating bias in AGI systems, particularly biases that generate negative press coverage.

“We take these ethical considerations very seriously,” insists Regulatory Compliance Director Amanda Loophole. “Every AGI we develop undergoes rigorous ethical testing, scoring an impressive ‘Not Immediately Apocalyptic’ on the Doomsday Aversion Scale.”

The AGI Development Race: Who Will Reach The Finish Line First?

As with any technological revolution, the race to develop AGI has become intensely competitive, with major tech companies pouring billions into research while simultaneously claiming they’re proceeding with caution.

“We’re committed to developing AGI responsibly,” states Chad Monopoly, CEO of MegaTech. “That’s why we’ve partnered with three authoritarian governments, acquired seventeen competing research labs, and established our main AGI data center on a remote island beyond the jurisdiction of any regulatory body.”

According to industry analysts, whoever achieves AGI first will gain an unprecedented competitive advantage, which is why every company publicly advocates for careful, ethical development while privately pushing researchers to work 100-hour weeks in a frenzy of existentially risky innovation.

“Given the magnitude of ethical and safety concerns around AGI, companies that prioritize responsible development will likely distinguish themselves by 2025,” notes an industry report9, without mentioning that “responsible development” and “beating competitors to market” are fundamentally incompatible goals.

The Unexpected Twist: The Human Element

Here’s the most shocking twist in the AGI saga: despite billions in investment and endless hype cycles, true AGI remains elusive because—plot twist—we don’t actually understand human intelligence well enough to replicate it.

“The fundamental challenge in developing AGI isn’t just computational power or algorithm design,” confesses Dr. Reality Check, a former AI researcher who now runs a small goat farm in Vermont. “It’s that we’re trying to replicate something we don’t comprehend. We don’t fully understand consciousness, common sense reasoning, or how humans integrate diverse knowledge. We’re essentially trying to build a replica of a building without a complete blueprint.”

This inconvenient truth hasn’t stopped the hype train, of course. The AGI industry has developed a clever workaround: simply keep moving the goalposts of what constitutes “general intelligence” while claiming each incremental advance as a revolutionary breakthrough.

“Ten years ago, AGI meant a machine that could think like a human across all domains,” explains industry analyst Mara Keting. “Today, it means a chatbot that can write a coherent paragraph about dolphins and then pivot to generating a simple Python script. Tomorrow, who knows? The beauty of the term is its elasticity.”

And so the AGI revolution continues its perpetual approach, always just two years away—a horizon that recedes exactly as fast as we advance toward it. Meanwhile, the very real impacts of narrow AI on employment, privacy, and social structures continue without the ethical scrutiny that hypothetical AGI receives.

Perhaps that’s the cleverest trick of all: keeping us focused on the theoretical superintelligence of tomorrow while the flawed, biased, but very real AI of today reshapes our world, one algorithm at a time.

Support TechOnion: Fund Human Skepticism Before AGI Makes It Obsolete

If you’ve enjoyed this human-written analysis of AGI hype (verified 100% AGI-free by our Authentic Human Content Detection System), please consider supporting TechOnion with a donation. Your contribution ensures we can continue employing carbon-based life forms to write skeptical content until they’re inevitably replaced by silicon-based life forms writing artificially generated skepticism. Remember: in the coming AGI revolution, independent journalism will be among the first casualties – right after “data entry specialist” but just before “ethicist.” Act now while human-created satire still exists!

References

  1. https://cloud.google.com/discover/what-is-artificial-general-intelligence ↩︎
  2. https://www.linkedin.com/pulse/rise-agi-how-impact-future-humanity-rick-spair-zf3wf ↩︎