Model Hallucination : An Innate Limitation of Large Language Models episode artwork

EPISODE · Nov 12, 2024 · 15 MIN

Model Hallucination : An Innate Limitation of Large Language Models

from Steven AI Talk · host Steven

Ref: arXiv:2401.11817v1 [cs.CL] 22 Jan 2024 Hallucination is Inevitable: An Innate Limitation of Large Language Models 🚨 **Can AI Ever Stop Making Stuff Up? Exploring the Limits of Large Language Models!** 🚨 Hey, Deep Divers! 🌊 Today, we’re tackling one of the most pressing questions in AI: Can large language models (LLMs) like ChatGPT *ever* truly stop hallucinating? 🤔 This groundbreaking paper suggests it may actually be *impossible* for LLMs to avoid hallucinations completely—even with all the data in the world. But why? And what does this mean for the future of AI? **In This Episode, We Explore:** 1. **Why Hallucinations Might Be Inevitable**: Using a "formal world" model, researchers show that some limits are baked into AI models, like trying to fit an ocean into a swimming pool. 🌊💡 2. **Mathematical Limits of AI**: Discover the “diagonalization argument” that explains why LLMs will always miss some correct answers. 🤯 3. **Strategies to Manage Hallucinations**: From building bigger models to prompt engineering, chain-of-thought prompting, and even using multiple models together. 🔧💻 4. **Human-AI Collaboration**: Why AI models may work best as *creative partners* rather than flawless oracles, and how users can develop “AI literacy” to use these tools wisely. Join us as we navigate the real (and fascinating) boundaries of AI, its potential as a powerful ally, and the importance of informed, ethical use in a world where AI tools are everywhere! 🎬✨ 🔔 **Subscribe for more deep dives on AI’s future and its real-world impact!** #AIhallucinations #LimitsofAI #LargeLanguageModels #ChatGPT #AIethics #AIandCreativity #TechExplained #DeepDiveAI #AIliteracy --- ### Keywords AI hallucinations, large language models, AI limitations, ChatGPT, diagonalization argument, prompt engineering, AI literacy, human-AI collaboration, computational limits, future of AI 🎉 Support My Projects Buy me a coffee buymeacoffee.com/learnbydoing 🗣️ Join the Community Discord discord.gg/DjcQPGcQ 📂 Follow My Projects GitHub github.com/LearnByDoing2024 🎥 Social Media TikTok tiktok.com/@learn.by.doing4?_t=8qGAlHRgFWa&_r=1 Twitter (X) x.com/Catchingtides 📻 Spotify Podcasts Spotify (Chinese) spotifyanchor-web.app.link/e/To7ArGnHZNb Spotify (English) spotifyanchor-web.app.link/e/ZHi3LoLHZNb 📚 YouTube Channels Steven学以致用 youtube.com/@Steven学以致用 💼 Connect with Me LinkedIn linkedin.com/in/steven-w-6828a31bb

Ref: arXiv:2401.11817v1 [cs.CL] 22 Jan 2024 Hallucination is Inevitable: An Innate Limitation of Large Language Models 🚨 **Can AI Ever Stop Making Stuff Up? Exploring the Limits of Large Language Models!** 🚨 Hey, Deep Divers! 🌊 Today, we’re tackling one of the most pressing questions in AI: Can large language models (LLMs) like ChatGPT *ever* truly stop hallucinating? 🤔 This groundbreaking paper suggests it may actually be *impossible* for LLMs to avoid hallucinations completely—even with all the data in the world. But why? And what does this mean for the future of AI? **In This Episode, We Explore:** 1. **Why Hallucinations Might Be Inevitable**: Using a "formal world" model, researchers show that some limits are baked into AI models, like trying to fit an ocean into a swimming pool. 🌊💡 2. **Mathematical Limits of AI**: Discover the “diagonalization argument” that explains why LLMs will always miss some correct answers. 🤯 3. **Strategies to Manage Hallucinations**: From building bigger models to prompt engineering, chain-of-thought prompting, and even using multiple models together. 🔧💻 4. **Human-AI Collaboration**: Why AI models may work best as *creative partners* rather than flawless oracles, and how users can develop “AI literacy” to use these tools wisely. Join us as we navigate the real (and fascinating) boundaries of AI, its potential as a powerful ally, and the importance of informed, ethical use in a world where AI tools are everywhere! 🎬✨ 🔔 **Subscribe for more deep dives on AI’s future and its real-world impact!** #AIhallucinations #LimitsofAI #LargeLanguageModels #ChatGPT #AIethics #AIandCreativity #TechExplained #DeepDiveAI #AIliteracy --- ### Keywords AI hallucinations, large language models, AI limitations, ChatGPT, diagonalization argument, prompt engineering, AI literacy, human-AI collaboration, computational limits, future of AI 🎉 Support My Projects Buy me a coffee buymeacoffee.com/learnbydoing 🗣️ Join the Community Discord discord.gg/DjcQPGcQ 📂 Follow My Projects GitHub github.com/LearnByDoing2024 🎥 Social Media TikTok tiktok.com/@learn.by.doing4?_t=8qGAlHRgFWa&_r=1 Twitter (X) x.com/Catchingtides 📻 Spotify Podcasts Spotify (Chinese) spotifyanchor-web.app.link/e/To7ArGnHZNb Spotify (English) spotifyanchor-web.app.link/e/ZHi3LoLHZNb 📚 YouTube Channels Steven学以致用 youtube.com/@Steven学以致用 💼 Connect with Me LinkedIn linkedin.com/in/steven-w-6828a31bb

NOW PLAYING

Model Hallucination : An Innate Limitation of Large Language Models

0:00 15:27

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Humanizing Change Tremendousness Join us each episode as we talk with innovators in their respective fields about their unique journeys and how they humanize change in their own work, right here, on Humanizing Change. AI Erik's Podcast Audio Erik Conn The AI News Podcast where we talk AI. CISO Perspectives (public) N2K Networks This season on CISO Perspectives, host Kim Jones explores some of the challenges of leading through uncertainty. We explore the complexity of the changing nature of regulation and working with the federal government, the evolution of privacy and fraud, and how emerging technologies like AI and quantum computing are changing cyber. When you don’t know what questions to ask, you’re afraid to ask, or don’t know who to ask, CISO Perspectives provides the foundation for learning in this brave new world. NEWMORROW SESSIONS - A PodCast Series on the Future of Hospitality Mario C. Bauer, Florian Schneider, Axel Weber & Dr. Tillman Bardt The Newmorrow PodCast is more than a podcast — it's a platform for open dialog on the future of our business, a platform for those building what doesn’t exist yet. Here, we share and embrace our passion for the hospitality industry, but we won’t romanticize the journey. We ask the tough questions, confront uncomfortable truths, and prepare for a future that resists easy answers. We believe that the tougher and wilder times become, the more openly, honestly and humanely people need to talk to each other and act together. We believe, openness, togetherness, and truthfulness should also be cornerstones of a professional community to develop our utopian idea of „open source“. This is a space where visionaries don’t just imagine the future — they wrestle with the paradoxes that shape it: success vs. happiness, data vs. instinct, stability vs. reinvention. Join leaders, entrepreneurs, and thinkers as they share not what made them — but what’s actively shaping them, now and next. So tune in

Frequently Asked Questions

How long is this episode of Steven AI Talk?

This episode is 15 minutes long.

When was this Steven AI Talk episode published?

This episode was published on November 12, 2024.

What is this episode about?

Ref: arXiv:2401.11817v1 [cs.CL] 22 Jan 2024 Hallucination is Inevitable: An Innate Limitation of Large Language Models 🚨 **Can AI Ever Stop Making Stuff Up? Exploring the Limits of Large Language Models!** 🚨 Hey, Deep Divers! 🌊 Today, we’re...

Can I download this Steven AI Talk episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!