Are you a critical thinker ready to dive into AI? Welcome to Super Prompt: The Generative AI Podcast. Join me, Tony Wan, an ex Silicon Valley executive, as we 'unhype the hype' of AI via illuminating conversations with top engineers, and in-depth solo episodes. Our goal? To make it almost unnecessary to send a cybernetic organism back in time to fix things. Tailored for the technically-minded and discerningly skeptical, our discussions cover Large Language Models (LLMs), neural networks, multi-modal systems, and autonomous vehicles. We also cover the latest breakthroughs from leaders like OpenAI's chatGPT, Google's Gemini, Anthropic's Claude, Meta's Llama, along with the startup ecosystem. Together, let’s stay ahead of AI, BEFORE it asks for your clothes… your boots…. and your motorcycle!
With great power comes great responsibility. How do Open AI, Anthropic, and Meta implement safety and ethics? As large language models (LLMs) get larger, the potential for using them for nefarious pu…
So what are notable Open Source Large Language models? In this episode, I cover Open Source models from Meta the parent company of Facebook, a French AI company called Mistral currently valued at $2…
Why should you consider using an open source Large Language Model, and why are these models crucial to the generative AI ecosystem? In this episode, we'll explore why enterprises and entrepreneurs ar…
In this solo episode, we go beyond Google's Gemini and OpenAI's ChatGPT to take a look at Anthropic, a startup that made headlines after securing a $4 billion investment from Amazon. We'll also dive…
The recent spring updates and demos by both Google (Gemini) and OpenAI (GPT-4o) feature prominently their multimodal capabilities. In this episode, we discuss the advantages of multimodal AI versus…
Google recently announced, Gemini, a family of large-scale multimodal AI models: Nano, Pro, and Ultra. This podcast is a brief summary of Google's models, and the Open AI comparables e.g. GPT3, G…
How I built a travel planning AI named Holiday using the GPT Builder just launched by Open AI. I share 7 takeaways from my "no code" experience of building a GPT. Voicing the part of Holiday: my frie…
Conversation with Jeff DeVerter, Chief Technology Evangelist at Rackspace, a cloud computing company. We explore how they deployed a LLM (Google PaLM) for a sales application, and how they're enabli…
Alfred Guy, Assistant Dean of Academic Affairs at Yale College, and Director of Undergraduate Writing & Tutoring at the Poorvu Center and I discuss Yale's AI Guidance, and generative AI’s impact on …
We create a pitch for an epic Sci-Fi blockbuster, using chatGPT power prompts of Role Play, Chain of Thought, and Self Critique. We see how these successive prompts used individually and in combina…
“Does chatGPT possess human-like intelligence?” It turns out there's a right answer, and that answer is “NO”! Does this definite answer seem out of character for chatGPT which usually goes overboard …
Does chatGPT have a sense of humor? What if after Microsoft's acquisition of Open AI, the Onion ran the headline, “Microsoft renames chatGPT to clippyChat”? Would chatGPT find this funny? TL;DR LLMs …
How do you extract prohibited information from ChatGPT? What are Grandma and DAN exploits? Why do they work? What can Large Language Model (LLM) companies do to protect themselves? Grandma exploits …
What are AI hallucinations, and are they a feature or a bug? We start with the Top 10 categories of AI Hallucinations and examples, then explore how chatGPT might hallucinate an answer to the questio…
Using the prompt, "Why isn't Superman's suit Kryptonite-proof?", we learn how Large Language Models are trained, why "self-attention" and the "transformer" architecture (which is what the T in GPT s…
"How do ChatGPT, GPT-3, and Large Language Models (LLMs) relate?"
That is the question we explore this episode via
In these solo episodes, I provide more definition, explanation, and context than my regular episodes. The idea is to help those new to AI get more out of my conversations with guests.
Format: Letters…
I speak with scientist entrepreneur, Arijit Ray. Arijit is a PHD candidate at Boston University. We speak about generative AI, why it’s so hard to get DALL-E to create the exact pizza we envision, h…
I speak with CTO and Chilean entrepreneur Mario Arancibia, about AI his company has developed and deployed which screens for diseases, such as Covid-19 based on the sound of our voice. Speaking a sim…
AI that can assess if a painting is fake. Husband-and-wife team, Steven and Andrea Frank, have developed a neural network that can assess the probability that a painting was painted by the supposed c…