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About This Podcast
Examining generative AI—not to hype breakthroughs or warn of apocalypse, but to understand how things actually work. Mental models over hot takes. Technology specifics over marketing fog.
Welcome to Super Prompt. Hosted by Tony Wan, ex-Silicon Valley insider.
For The Independents—people who think for themselves, refuse narrative capture, and value depth over certainty.
Independent analysis. Unsponsored. Weekly.
The future belongs to better questions.
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Recent Episodes
S2E2 AI Agents at Work: Scaffold Required
We review four clips from the Dwarkesh Patel Podcast with Satya Nadella, Microsoft's CEO. I highly recommend Dwarkesh’s show—technical & nerdy, but excellent.Satya talks about scaffolding—the…
S2E1 Whose Agent Is It Anyways?
Description:AI agents from OpenAI, Google, and Anthropic promise to act on your behalf—booking flights, handling tasks, making decisions. What kind of agency do these systems actually have? And whose…
S1E27 AI Safety: Constitutional AI vs Human Feedback
With great power comes great responsibility. How do leading AI companies implement safety and ethics as language models scale? OpenAI uses Model Spec combined with RLHF (Reinforcement Learning from…
S1E26 Open Source LLMs: How Open Is "Open"?
Notable open source large language models from Meta, French AI company Mistral (valued at $2B), Microsoft, and Apple. Not all open source models are equally open—the restrictions and licensing…
S1E25 Open Source AI: The Safety Debate
Why enterprises and entrepreneurs choose open source LLMs like Meta's Llama—cost-effectiveness, control, privacy, and security. The safety and ethics debate: which poses greater risk to humanity,…
S1E24 LLM Benchmarks: How to Know Which AI Is Better
Beyond ChatGPT and Gemini: Anthropic's Claude and the $4 billion Amazon investment. How AI industry benchmarks work, including LMSYS Arena Elo and MMLU (Measuring Massive Multitask Language…
S1E23 Multimodal AI: When ChatGPT Learned to See
Recent updates from Google and OpenAI feature multimodal capabilities—AI that processes multiple input types simultaneously. Why multimodal models outperform single-modality systems, demonstrated…
S1E22 Google Gemini: Three Models, One Strategy
Google's Gemini family of multimodal AI models compared to OpenAI equivalents. What Nano, Pro, and Ultra each do, how they compare to GPT-3.5, GPT-4, and ChatGPT, and what "multimodal" means in…
S1E21 Building Custom GPTs: Seven Lessons from GPT Builder
Creating a travel planning AI using OpenAI's GPT Builder with no code. Seven takeaways from building a custom GPT, what the process reveals about prompt engineering, and the constraints of the…
S1E20 Enterprise LLMs: Cloud Deployment Strategy
Deploying large language models for enterprise applications. Rackspace CTO Jeff DeVerter discusses implementing Google PaLM for sales, enabling Azure and AWS customers, and why your LLM choice should…
S1E19 ChatGPT in the Classroom: Yale's Response
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…
S1E18 AI Screenwriting: GPT-4 Meets the Writers Strike
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…
S1E17 ChatGPT Guardrails: The One Question It Won't Debate
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…
S1E16 ChatGPT vs The Onion: Can AI Get the Joke?
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…
S1E15 ChatGPT Jailbreaks: The Grandma Exploit
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…
S1E14 AI Hallucinations: Bug or Feature?
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…
S1E13 LLM Training: Superman's Kryptonite-Proof Suit
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…
S1E12 Large Language Models: Getting from GPT-3 to chatGPT
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…
S1E11 What Is ChatGPT? Explained
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.…
S1E10 DALL-E: Why AI Can't Make Your Perfect Pizza
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…
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Super Prompt: Generative AI has published 30 episodes since December 2022, covering topics in Technology.
Super Prompt: Generative AI is currently sporadic with new episodes every 2 weeks. Average episode length is 26m.
