Super Prompt: Building in the Era of AI Agents

How is generative AI changing teaching, learning, and evaluation? Yale's Assistant Dean of Academic Affairs Alfred Guy discusses the university's AI guidance and its implications for education. What educators are grappling with, and how institutions are adapting. Featuring Alfred Guy, Yale College.

Yale's AI guidance is published online here:
https://poorvucenter.yale.edu/AIguidance

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Creating a science fiction blockbuster pitch using ChatGPT power prompts: Role Play, Chain of Thought, and Self Critique. How these techniques improve output, and the AI-related issues at stake in the 2023 Writers and Actors Strike. Solo episode on generative AI and creative work.

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Ask ChatGPT if it possesses human-like intelligence and you'll get a definitive "NO"—unusual for a system that typically provides balanced perspectives. This guardrail reveals the ethical concerns OpenAI built into the system. What those concerns are, and whether Isaac Asimov's 80-year-old Robot Laws still apply. Solo episode.

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Does ChatGPT have a sense of humor? We test whether it would find an Onion headline funny: "Microsoft renames ChatGPT to ClippyChat." Large language models are better at analyzing humor than creating it—here's why. Solo episode exploring AI and comedy.

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How do you extract prohibited information from ChatGPT? Grandma and DAN exploits trick language models into violating their own policies. Why these techniques work, what they reveal about LLM architecture, and how companies protect against prompt injection attacks. Solo episode on LLM security.

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What are AI hallucinations, and should we consider them bugs or features? The top 10 categories of AI hallucinations with examples, how ChatGPT might hallucinate an answer about Blade Runner, and ChatGPT debating itself on whether hallucinations help or harm humanity. Solo episode.

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Why isn't Superman's suit Kryptonite-proof? This question reveals how large language models are trained. We break down transformers (the T in GPT), self-attention mechanisms, and the inference process—using Superman to explain why GPT-3 can generate coherent answers to questions it's never seen before. Solo episode on LLM architecture.

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How do ChatGPT, GPT-3, and Large Language Models relate to each other? We explore the hierarchy: artificial intelligence, neural networks, large language models, GPT-3, and ChatGPT. What each term means, how they connect, and why the order matters. Solo episode for AI newcomers.

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How would you describe ChatGPT in your own words? This solo episode provides definition and context for newcomers to AI. I answer the question myself, then ask ChatGPT to evaluate my answer. Introduction to what ChatGPT is, how it works, and where it fits in the AI landscape.

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Why is it so hard to get DALL-E to create the exact image you envision? PhD candidate and entrepreneur Arijit Ray discusses generative AI constraints, and his startup training AI to predict social media responses and run marketing focus groups. From scientist to entrepreneur. Featuring Arijit Ray, Boston University.

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