May 30, 2026
AI Angst Goes Nuclear
I am against GenAI and everything it stands for
Blogger torches AI as theft and chaos — commenters instantly turn it into a war
TLDR: A blogger says generative AI is built on stolen human work and will worsen lies, spam, and online decay. Commenters immediately split between apocalypse warnings, sarcastic eye-rolls, and arguments that crypto was worse — turning the debate into a full-blown internet brawl.
One furious blogger has launched a full-volume attack on generative artificial intelligence — the kind that writes text and makes images — calling it “harmful for humanity” and basically the ultimate money grab. Their argument is blunt: big companies vacuum up human-made work from across the internet, repackage it, and sell it back behind subscriptions. They also warn that these tools could become a misinformation factory, flooding the web with fake comments designed to make people angry and easier to manipulate. In short: less sci-fi miracle, more poisoned internet.
But the real fireworks were in the comments, where the crowd split into camps faster than you can say “robot apocalypse.” One side cheered the rant and piled on with doom-laced predictions about a future full of broken software held together by people who can’t function without an AI assistant. Another side rolled its eyes hard. One commenter dropped a brutally dismissive “Aw, good for you,” while another compared today’s anti-AI panic to people mocking cloud computing years ago. Ouch.
And then came the spicy middle ground: some argued that, as bad as AI may be, crypto and NFTs were still grimier, especially because they supercharged scams. Others pushed back on the blogger’s claim that AI is all closed-off corporate greed, saying much of the research is already public. So yes, the post was about AI — but the comments turned it into a classic internet cage match: theft machine, useful tool, or just the next overhyped mess?
Key Points
- •The article argues that generative AI is distinct from other machine-learning applications that solve practical real-world problems.
- •The author defines generative AI as including large language models for text and models that generate images or video.
- •The article claims generative AI systems are trained on large amounts of human-created internet material and that access to resulting models is commonly sold by subscription.
- •The article cites image processing, such as detecting stop signs, as an example of a useful non-generative machine-learning application.
- •The article links generative AI to the potential expansion of automated misinformation, using the Internet Research Agency and U.S. political influence efforts as historical context.