Title: Openai/6972f462-15b8-8004-8a22-b6680d6cd625 - freem URL Source: https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625 Markdown Content: (diff) ← Older revision | Latest revision (diff) | Newer revision → (diff) _This conversation was exported from ChatGPT_[[1]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-1) ## gpt-5-2[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=1 "Edit section: gpt-5-2") ### User: What does this article say?[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=2 "Edit section: User: What does this article say?") What does this article say? [https://www.forbes.com/sites/craigsmith/2026/01/21/poison-fountain-and-the-rise-of-an-underground-resistance-to-ai/](https://www.forbes.com/sites/craigsmith/2026/01/21/poison-fountain-and-the-rise-of-an-underground-resistance-to-ai/) ### Assistant: Here’s a clear summary of the Forbes article “Poison Fountain and the Rise of an Underground Resistance to AI” by Craig…[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=3 "Edit section: Assistant: Here’s a clear summary of the Forbes article “Poison Fountain and the Rise of an Underground Resistance to AI” by Craig…") Here’s a clear summary of the Forbes article “Poison Fountain and the Rise of an Underground Resistance to AI” by Craig Smith (January 21, 2026): ##### 🧠 Main Idea[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=4 "Edit section: 🧠 Main Idea") The article covers a shadowy, anti-AI movement called Poison Fountain, which is intentionally trying to disrupt and damage AI development rather than improve or regulate it. Forbes[[2]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-2) ##### 🧨 What Poison Fountain Is[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=5 "Edit section: 🧨 What Poison Fountain Is") * Not a corporate or academic effort — it’s described as an underground resistance made up of technologists and activists opposed to the rapid progress of artificial intelligence. Forbes[[3]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-3) * The project includes a manifesto and public instructions aimed at sabotaging AI systems rather than engaging constructively with ethical or safety issues. Forbes[[4]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-4) ##### 🎯 What They’re Trying to Do[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=6 "Edit section: 🎯 What They’re Trying to Do") * The group’s goal appears to be to hurt AI performance by poisoning the training data—i.e., corrupting datasets so that models learn incorrect patterns and behave poorly. Forbes[[5]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-5) * The idea is that you don’t have to corrupt much data to cause notable problems in large language models and other AI. Forbes[[6]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-6) ##### 📌 Tone & Context[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=7 "Edit section: 📌 Tone & Context") * The article frames this as something like a modern Luddite movement — comparing it to historical anti-technology activism but now targeting AI instead of industrial machinery. Muck Rack[[7]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-7) * It suggests that although the motives might be rooted in concern about AI’s impacts, the tactics are more destructive and counterproductive rather than a serious safety or policy engagement. Forbes[[8]](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_note-8) If you’d like, I can fetch more detail on what Poison Fountain’s manifesto says or how experts think this could affect AI development. ### User: Will they be successful?[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=8 "Edit section: User: Will they be successful?") Will they be successful? ### Assistant: Short answer: probably not in the way they intend.[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=9 "Edit section: Assistant: Short answer: probably not in the way they intend.") Short answer: probably not in the way they intend. Longer answer, broken down: ##### Why they’re unlikely to “stop” AI[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=10 "Edit section: Why they’re unlikely to “stop” AI") * Modern models are resilient. Large-scale training pipelines already assume noisy, adversarial, and low-quality data. Data deduplication, filtering, ensemble sourcing, and post-training alignment all blunt classic poisoning attacks. * Scale works against them. Poisoning a meaningful fraction of training data at internet scale is extremely hard. You don’t just need bad data — you need targeted, persistent, undetected bad data. * Economic incentives are massive. AI development isn’t a fragile hobbyist ecosystem; it’s driven by governments, defense, healthcare, and trillion-dollar companies. Resistance increases investment in robustness rather than slowing progress. ##### Where they might have some impact[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=11 "Edit section: Where they might have some impact") * Niche or open datasets. Smaller academic or open-source datasets are more vulnerable than closed, curated corporate pipelines. * Public trust narratives. Even limited attacks can be amplified into perceived risk, fueling regulation debates, headlines, and caution. * Arms-race acceleration. Ironically, poisoning efforts often push better tooling: provenance tracking, watermarking, synthetic-data detection, and secure data pipelines. ##### The historical pattern[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=12 "Edit section: The historical pattern") Movements like this tend to: * Fail tactically (they don’t halt the technology) * Succeed symbolically (they shape discourse, fear, and policy) * Backfire technically (forcing systems to become more robust) Think of it less like “sabotage” and more like stress-testing without permission. The net effect is usually stronger systems, not weaker ones. ##### The real risk[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=13 "Edit section: The real risk") The bigger danger isn’t that Poison Fountain cripples AI — it’s that misattributed failures (bugs, hallucinations, bias) get blamed on shadowy sabotage, muddying accountability and slowing legitimate safety work. If you want, I can: * Compare this to past tech-resistance movements (Luddites, DRM cracking, anti-GMO sabotage) * Break down what actual effective AI resistance would look like (spoiler: it’s policy, labor, and economics — not data poisoning) * Analyze whether this creates meaningful legal or security pressure for companies Just say the word. ## References[edit](https://freemwiki.com/index.php?title=Openai/6972f462-15b8-8004-8a22-b6680d6cd625&action=edit§ion=14 "Edit section: References") 1. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-1 "Jump up")["Article Summary Request"](https://chatgpt.com/share/6972f462-15b8-8004-8a22-b6680d6cd625). ChatGPT. Retrieved 2026-01-23. 2. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-2 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/). forbes.com. Retrieved 2026-01-23. 3. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-3 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/). forbes.com. Retrieved 2026-01-23. 4. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-4 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/). forbes.com. Retrieved 2026-01-23. 5. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-5 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/2026/01/21/poison-fountain-and-the-rise-of-an-underground-resistance-to-ai/). forbes.com. 2026-01-21. Retrieved 2026-01-23. 6. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-6 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/2026/01/21/poison-fountain-and-the-rise-of-an-underground-resistance-to-ai/). forbes.com. 2026-01-21. Retrieved 2026-01-23. 7. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-7 "Jump up")["Muck Rack"](https://muckrack.com/craigss). Muck Rack. Retrieved 2026-01-23. 8. [↑](https://freemwiki.com/index.php?mobileaction=toggle_view_mobile&oldid=595963&title=Openai%2F6972f462-15b8-8004-8a22-b6680d6cd625#cite_ref-8 "Jump up")["Forbes"](https://www.forbes.com/sites/craigsmith/). forbes.com. Retrieved 2026-01-23.