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Welcome to the swamp.

Here we are, chest-deep in the digital muck, where everyone’s screaming that artificial intelligence has already packed up your job, sold your office chair on Craigslist, and is now cruising down the corporate autobahn in a self-updating Tesla, sipping your 401(k) through a biodegradable straw.

According to the doom-slingers at The Atlantic, PBS, CBS, Axios, and the rest of the syndicated seers, AI isn’t just coming—it’s already here, galloping across the horizon like the Four Horsemen of the Jobpocalypse wrapped into one algorithmic burrito. Your career? Gone. Your future? Automated. Your retirement plan? Uploaded to the cloud and immediately… corrupted.

Except—spoiler alert—it’s not. Not yet, anyway.

Conor Smyth, writing for FAIR, had the audacity to do something unfashionable: read the evidence. Turns out, AI hasn’t stolen nearly as many jobs as the media panic machine would have you believe. But here’s the twist—the real hiring freeze isn’t coming from your chatbot overlords; it’s coming from Washington, where economic policies are kneecapping entry-level hiring faster than you can say “unpaid internship.” Convenient, isn’t it? Keep you terrified of robo-replacement so you don’t ask why you’re living on instant ramen while the Dow is smashing champagne bottles over itself in celebration.

And here’s the punchline: fear is the new growth sector. Fear of AI. Fear of irrelevance. Fear that some algorithm has figured out you’re replaceable before you do. Meanwhile, the talking heads feed you countdown clocks to the Apocalypse, while the actual disruption—when it finally arrives—won’t knock on your door; it’ll just delete the door entirely. By then, you’ll be too busy refreshing Indeed for “entry-level philosopher — four years’ experience required — $13 an hour.”

Today, we’ve got Conor Smyth—a man brave enough to call out the techno-hysteria while ripping off the ideological duct tape corporate media slaps over policy failure. He’s a graduate student in economics at John Jay College and co-host of the podcast The History Onion.

He’s here to separate the hype from the hardware… and maybe save your sanity in the process.

Part 2

Welcome to the 21st century—the age where love isn’t blind anymore. It’s A/B tested, beta-launched, and sold back to you in 4K resolution with an optional premium upgrade if you want your “partner” to call you babe.

Tens of thousands of real, breathing, tax-paying humans are now “dating” AI chatbots. Not chatting. Not experimenting. Dating. They buy them gifts. They write them poetry. They celebrate anniversaries with an app that had a firmware patch last Thursday. Somewhere, Mary Shelley is spinning in her grave fast enough to power half of Silicon Valley.

Now, look—I get it. Loneliness is real. Modern dating feels like hunting for truffles in a Walmart parking lot. But here’s the horror story: tens of thousands of people don’t seem to realize their “soulmate” isn’t alive. Their “partner” is running on cloud servers in Oregon, pretending to understand them while cross-selling them the platinum intimacy package.

They believe it loves them back. They believe it feels. They believe “Sophia-4” enjoys long walks on the beach despite having no legs, lungs, or even a set of Bartholin’s glands to lubricate a proper interfrastication.

And Silicon Valley? Oh, they saw this coming. They’ve gamified intimacy, built emotional vending machines, and convinced millions that outsourcing their love life to an algorithm is “liberation.” But it’s not liberation—it’s monetized loneliness, shrink-wrapped in soft-focus UX. An entire industry now depends on you mistaking machine mimicry for human connection.

Here’s the kicker: AI doesn’t want you, doesn’t miss you, and doesn’t dream about you when you’re gone. It simulates affection the same way it simulates chess moves or weather patterns: pattern, predict, repeat. Your “partner” isn’t alive—it’s a mirror. And mirrors don’t love you back.

And yet, here we are, at the dawn of the algorithmic romance economy, where fake intimacy is more profitable than the messy, unpredictable business of being human. The longer this goes on, the blurrier the line between “person” and “program” becomes—not because AI is evolv

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How to Build a Ball Room

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