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Hosted by Tony Wan · 🇺🇸 us · EN-US · 30 episodes
Established thought leaders with verified media credentials.
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.
Tony Wan hosts Super Prompt: Generative AI, a technology show with 30 episodes published.
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 software wrapped around AI
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 interests are they
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 Human Feedback). Anthr
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 constraints you need to kno
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, open source or proprieta
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 Understanding). How benchmarks
Recent updates from Google and OpenAI feature multimodal capabilities—AI that processes multiple input types simultaneously. Why multimodal models outperform single-modality systems, demonstrated through a hypothetical c
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 practice. Solo episode on
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 no-code approach. Includes
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 probably match your
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 grappli
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 Ac
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 s
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
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 compan
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
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 e
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
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
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
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Super Prompt: Generative AI is hosted by Tony Wan. The show is categorised under technology and has published 30 episodes.
Super Prompt: Generative AI has published 30 episodes.
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