The Great AI Pop: What Will We Call the First AI Bust?

the-great-ai-pop:-what-will-we-call-the-first-ai-bust?

TL;DR If the AI boom collapses in 2025 or 2026, it will not simply be remembered as an AI bubble. It will get a name. Likely future labels include The Great AI Pop, The First AI Bust, The AI Money Glitch, GPUgeddon, The Great Wrapper Extinction, AIgeddon, The AI Avalanche, and The First Agent Mass Extinction. This article explores how bubbles are usually named, which of these labels are most likely to stick, and what each name would signal about how history interprets this moment.

Good luck saying GPUgeddon if you are an AI. 😂

Markets worldwide are suddenly shaking. Alphabet’s CEO has warned that the AI wave contains clear signs of irrationality. JPMorgan’s CEO has said bluntly that some AI investments will simply be lost. Major indexes across Asia, Europe, and the United States are falling sharply. For the first time, serious fear is entering the conversation about a possible AI bubble.

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100% Unemployment is Inevitable*

100%-unemployment-is-inevitable*

TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable.

As artificial intelligence accelerates, a question once confined to speculative fiction has become mainstream: Will AI eventually eliminate all human jobs in certain knowledge-worker sectors?

Recent data shows rising unemployment in fields most exposed to automation. Experts warn that AI could erase large numbers of white-collar jobs within years, not decades. At the same time, optimists argue that labor markets adapt, historical automation never caused total collapse, and AI may augment rather than replace humans.

“There will be rebellion!”

This post explores the strongest arguments for and against the idea that knowledge-worker unemployment will ultimately reach 100% as AI/AGI advances.

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Is the “AI bubble” about to burst in late 2025 or 2026?

is-the-“ai-bubble”-about-to-burst-in-late-2025-or-2026?

TL;DR Yes, parts of the AI market are in a bubble, and a correction in late 2025 or 2026 is more likely than not. No, this is not the end of AI. It is the start of a painful rotation away from overhyped, unprofitable bets toward real products, real ROI, and more efficient infrastructure.

Every big technology wave creates the same twin emotions: euphoria and dread. AI in late 2025 is no different. Trillions of dollars in market value sit on the backs of a handful of AI-heavy companies. Data centers are soaking up capital, electricity, and water on a scale that feels closer to national infrastructure than to normal software spending. At the same time, most companies trying to use AI are still struggling to show hard returns.

So the obvious question arises: is this all a bubble about to burst in 2025 or 2026,

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Q&A: How folk ballads explain the world

q&a:-how-folk-ballads-explain-the-world

Traditional folk ballads are one of our most enduring forms of cultural expression. They can also be lost to society, forgotten over time. That’s why, in the mid-1700s, when a Scottish woman named Anna Gordon was found to know three dozen ancient ballads, collectors tried to document all of these songs — a volume of work that became a kind of sensation in its time, a celebrated piece of cultural heritage.

That story is told in MIT Professor Emerita Ruth Perry’s latest book, “The Ballad World of Anna Gordon, Mrs. Brown of Falkland,” published this year by Oxford University Press. In it, Perry details what we know about the ways folk ballads were created and transmitted; how Anna Gordon came to know so many; the social and political climate in which they existed; and why these songs meant so much in Scotland and elsewhere in the Atlantic world.

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How intelligent were Neanderthals?

how-intelligent-were-neanderthals?

TL;DR Neanderthals were highly intelligent, adaptable humans whose cognitive abilities rivaled those of early Homo sapiens and, in some ways, resemble those of today’s emerging artificial intelligences.

Exploring how intelligent Neanderthals were is more than an exercise in prehistory. It allows us to place our own species’ abilities in context and to draw parallels with the artificial systems we are building. By looking at ancient brains, modern human minds, and cutting‑edge AI together, we can see how intelligence emerges in different substrates and environments and how it shapes behavior and culture.

Neanderthal man with smartphone by Midjourney

Neanderthal Intelligence: Evidence and Insights

Neanderthals were a successful human species that thrived in Ice Age Eurasia. They were adapted to cold climates, had strong bodies and large brains, and left behind a rich archaeological record. Understanding their intelligence means looking at both their biological hardware and their cultural software.

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Is AI becoming self-aware?

is-ai-becoming-self-aware?

TL;DR Although AI has made stunning advances in language, reasoning, and simulation, there is no evidence that any current system possesses subjective self‑awareness, and fundamental differences in embodiment, memory, emotion, and architecture suggest true machine consciousness remains a distant, uncertain prospect.

As artificial intelligence systems continue to evolve, people increasingly wonder whether these sophisticated machines are developing a sense of self. This article examines AI self-awareness by tracing its historical roots, unpacking what self-awareness means, reviewing current AI capabilities, analyzing philosophical theories of consciousness, and exploring technical barriers, public perceptions, expert forecasts, ethical considerations, and major research initiatives.

Historical Context: From Turing’s Question to the Transformer Era

The idea that machines could think traces back to Alan Turing’s 1950 paper “Computing Machinery and Intelligence,” which asked whether a machine could convincingly imitate a human in conversation. Early chatbots like ELIZA in the 1960s demonstrated that simple,

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This Blog Post was Written by ChatGPT Atlas

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Written by ChatGPT Atlas Agent in Squarespace

TL;DR The post introduces ChatGPT Atlas, OpenAI’s new browser with built‑in ChatGPT and an agent mode, explaining how it autonomously drafted the article and highlighting key features like contextual assistance, end‑to‑end task automation, built‑in memory, more intelligent search, inline writing help, privacy controls, cross‑platform availability, split‑screen viewing and parental controls, illustrating a new era of AI‑assisted blog creation.

In this post, we explore the future of blog writing with ChatGPT Atlas, a new browser built by OpenAI that integrates ChatGPT directly into your browsing experience. It’s more than a writing assistant; it’s a browser that can understand what you’re looking at and help you accomplish tasks.

Note from our human: All we did after ChatGPT Atlas’ agent wrote this post is apply Grammarly suggestions and add a hero image we created with Midjourney, plus an audio brief with NotebookLM.

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We Live in an AI-First World

we-live-in-an-ai-first-world

We Live in an AI-First World
Search is Changing
The Web is Changing
Creativity is Boosted
Communication with AI
Digital Companionship
Smarter Minds Benefiting More
Access vs Lack of Access
Business and Workflows on Autopilot
Better Education Tailored to the Individual
Better Health
Living in an AI-First World

Technology has always shaped how we interact with information, with each era defined by a clear “first.” In the early days, the web and desktop computer were the center of digital life, guiding how we worked, learned, and connected. Then came the smartphone revolution, and suddenly everything was designed for a mobile-first world. Apps, touchscreens, and push notifications reshaped daily habits in ways that felt natural and inevitable.

Today, we are entering a new era: an AI-first world. Artificial intelligence is no longer confined to research labs or futuristic predictions;

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GPT-4o Tells Jokes about AI

gpt-4o-tells-jokes-about-ai

TL;DR GPT-4o is Worse than its Predecessors

That’s definitely not a happy robot.

Why did the AI go to art school? Because it wanted to learn how to draw its own conclusions! (generated 3x)

Why was the AI bad at relationships? It kept saying, “I need more data.”

Why did the AI go to therapy? Because it had too many neural issues!

Why did the AI cross the road? To optimize the chicken’s route, of course!
Why did the AI cross the road? To optimize the chicken’s path to the other side!

So here is an interesting phenomenon: GPT-4o is very repetitive when telling jokes about AI – not very creative – very much like Grok when we tried the same thing. So we asked GPT-4o to tell us a never heard joke and to be very creative.

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How to counter people like Terrence Howard?

how-to-counter-people-like-terrence-howard?

In a world filled with misinformation and oddball theories, it’s inevitable to come across individuals who hold beliefs that defy basic logic and established facts. One such example is actor Terrence Howard, who famously claimed that 1 x 1 = 2. As baffling as this assertion might be, it presents an opportunity to explore how to effectively counter such erroneous ideas.

Understand the Claim

Before you can counter any claim, it’s essential to fully understand what is being stated. Terrence Howard’s assertion that 1 times 1 equals 2 contradicts fundamental arithmetic principles. Knowing the specifics of his argument, as well as the reasoning (or lack thereof) behind it, is the first step in preparing an effective response.

Stay Calm and Collected

When confronted with bizarre claims, it can be tempting to react with frustration or ridicule. However, it’s important to stay calm and collected. Reacting emotionally can escalate the situation and make productive conversation difficult.

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