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AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor GitHub - GenAI-Gurus/awesome-eu-ai-act: Curated tools, official sources, OSS, templates, and guides for EU AI Act compliance. Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. 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How George Orwell Predicted the Rise of “AI Slop” in Nineteen Eighty-Four (1949)
Colin Marshall · 2026-04-16 · via Hacker News - Newest: "AI"

We’ve lived but a few years so far into the age when artificial intelligence can produce convincing stories, songs, essays, poems, novels, and even films. For many of us, these recently implemented functions have already come to feel necessary in our daily life, but it may surprise us to consider how many people had long assumed that computers could already perform them. That belief surely owes in part to the roles played by effectively sentient machines in popular fictions since at least the early decades of the twentieth century. Revisiting George Orwell’s Nineteen Eighty-Four, we even find a device very much like today’s large language models in use at the Ministry of Truth, the employer of protagonist Winston Smith.

Within the Ministry is “a whole chain of separate departments dealing with proletarian literature, music, drama, and entertainment generally. Here were produced rubbishy newspapers containing almost nothing except sport, crime and astrology, sensational five-cent novelettes, films oozing with sex, and sentimental songs which were composed entirely by mechanical means on a special kind of kaleidoscope known as a versificator.” Much later in the novel, Smith overhears a hit song composed on that very kaleidoscope, “without any human intervention whatever,” sung by a woman of this dystopian England’s lowest class, whose very baseness liberates it from the watchful eye that Big Brother’s vast surveillance system keeps on his ostensibly privileged Party members.

All the “proles” really require, in the view of the state, is the freedom to satisfy their vices and a steady stream of pacifying media. The extrusions of the versificator may now bring to mind the ever-increasing quantities of “AI slop,” often created with vanishingly small amounts of human intervention, whose potential to flood the internet has lately become a matter of public concern. What’s more chilling to consider is that such low-effort, high-volume content wouldn’t have attained such a presence if it weren’t genuinely popular. Much like the junk culture pumped out by the Ministry of Truth, AI slop reflects less the ill intent of (or at least neglect by) the powers that be than the undemanding nature of the public.

Perhaps we can provisionally chalk this one up in the “Orwell was right” column. It’s possible that, in light of real technological developments, even Isaac Asimov could be convinced to give it to him. Here on Open Culture, we recently featured Asimov’s critique of Nineteen Eighty-Four as a poor prophecy of the future, not least from a technological standpoint. That piece was written in 1980 at the very end of an “AI winter,” one of the fallow periods in artificial intelligence research. A boom was soon to come, but the truly astonishing developments wouldn’t happen until the twenty-twenties, about thirty years after Asimov’s death. When describing the versificator, Orwell was presumably extrapolating from the distracting, disposable entertainments of nineteen-forties England. Even if his readers couldn’t believe the idea of that sort of thing being created automatically, more than a few probably agreed with his diagnosis of its quality. Now, collective human intelligence may face its most formidable challenger, but individual human discernment has never been more valuable.

via Boing Boing

Related content:

Isaac Asimov Reviews George Orwell’s Nineteen Eighty-Four and Calls It “Not Science Fiction, But a Distorted Nostalgia for a Past that Never Was”

George Orwell Predicted Cameras Would Watch Us in Our Homes; He Never Imagined We’d Gladly Buy and Install Them Ourselves

Aldous Huxley to George Orwell: My Hellish Vision of the Future is Better Than Yours (1949)

Sci-Fi Writer Arthur C. Clarke Predicts the Future in 1964: Artificial Intelligence, Instantaneous Global Communication, Remote Work, Singularity & More

Based in Seoul, Colin Marshall writes and broadcasts on cities, language, and culture. He’s the author of the newsletter Books on Cities as well as the books 한국 요약 금지 (No Summarizing Korea) and Korean Newtro. Follow him on the social network formerly known as Twitter at @colinmarshall.