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Gen AI's two FATAL FLAWS that even human babies can do & the industry knows it

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Source: Internet of Bugs
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  • description: Generative AI companies are trying to convince the world—and your boss—that large language models are ready to replace human workers. But there are two fundamental, innate human abilities that generative AIs simply cannot do: they cannot Learn, and they cannot Prioritize. In this video, I break down why LLMs are frozen in time, why context windows are not a substitute for learning, and how the inability to prioritize commands leads directly to severe safety failures, jailbreaks, and runaway scripts. Patreon: https://www.patreon.com/cw/InternetOfBugs // Sources and Resources // AI company pushes AI therapist https://fortune.com/2025/05/16/microsoft-ai-copilot-mustafa-suleyman-gen-z-therapist/ // @3blue1brown on how LLMs work https://www.youtube.com/watch?v=LPZh9BOjkQs // Dr Simon Prince on @MachineLearningStreetTalk https://www.youtube.com/watch?v=sJXn4Cl4oww // Meta AI researcher has AI delete her inbox: https://www.pcmag.com/news/meta-security-researchers-openclaw-ai-agent-accidentally-deleted-her-emails https://x.com/summeryue0/status/2025774069124399363 // LLMs can't keep track of long contexts https://arxiv.org/abs/2307.03172 https://arxiv.org/abs/2510.10276v1 https://arxiv.org/abs/2412.10079 https://arxiv.org/abs/2410.14641 https://www.alphaxiv.org/abs/2502.17204v2 https://arxiv.org/abs/2411.07037 https://tianpan.co/blog/2026-04-14-the-instruction-position-problem https://arxiv.org/abs/2407.03651v1 // Many shot Jailbreaking https://www.anthropic.com/news/many-shot-jailbreaking https://arxiv.org/html/2404.01833v3 https://arxiv.org/html/2505.19773v1 https://repello.ai/glossary/many-shot-jailbreaking // The bad things that happen when AI's try to learn in public https://aiinstitute.hbs.edu/platform-digit/submission/garbage-in-flaming-dumpster-fire-out-the-cautionary-tale-of-tay/ https://ai.meta.com/blog/blenderbot-3-a-175b-parameter-publicly-available-chatbot-that-improves-its-skills-and-safety-over-time/ https://www.bbc.com/news/technology-62497674 https://www.cnn.com/2022/08/11/tech/meta-chatbot-blenderbot https://www.cnn.com/2025/07/12/tech/xai-apology-antisemitic-grok-social-media-posts https://www.bbc.com/news/world-asia-china-40815024 https://www.npr.org/sections/alltechconsidered/2016/03/24/471757178/microsoft-chatbot-snafu-shows-our-robot-overlords-arent-ready-yet https://www.seattletimes.com/business/microsoft/microsoft-takes-chatbot-offline-after-it-repeats-offensive-remarks/ https://www.wbur.org/endlessthread/2022/12/02/bots-tay-microsoft https://hai.stanford.edu/news/be-careful-what-you-tell-your-ai-chatbot 00:00 - The Two Things AI Will Never Do 01:30 - Who is Carl? (Internet of Bugs) 02:08 - Flaw #1: Generative AI Cannot Learn 02:54 - How Context Actually Works (and Forgets) 04:16 - Why Public Models Must Stay Frozen 05:35 - The Limits and Dangers of Context Windows 07:00 - Flaw #2: Generative AI Cannot Prioritize 07:16 - Real-World Failure: "Confirm Before Acting" 08:40 - Why LLMs Cannot Follow Hierarchies or Rules 09:34 - Compounding Risks: The Multi-Shot Jailbreak Danger 10:54 - The Industry Knows This (Selling the Next Breakthrough) 11:44 - Philosophy, Programs, and Prompts Podcast #generativeai #ArtificialIntelligence #SoftwareEngineering #TechHype #InternetOfBugs #AIEthics #CyberSecurity
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