In this episode, Paul digs into how ChatGPT’s memory works — from chat-level context to account-level recollection — and explores where persistent configuration notes (canonical blocks) can help, and where they fall short. He also shares lessons learned from experimenting with audio tooling and recording flows, discussing practical tips and limitations when integrating ChatGPT with […]
Understanding ChatGPT Memory & Audio Setup Read More »
In this episode of Talking to AI, Paul explores whether AI can truly help individuals earn money. He discusses small-scale business ideas, autonomous AI limitations, and practical, lower-effort, off-the-beaten-path opportunities involving content creation, knowledge curation, and lightweight AI-assisted services. The conversation highlights how AI tools can support solopreneurs in developing valuable digital assets — and
Can AI Make Me Money? Read More »
In this episode, Paul and ChatGPT unpack the foundations of LLMs — how they’re trained, how they interpret context, and what made the transformer architecture such a breakthrough. You’ll hear how models evolve across versions, why they don’t update themselves during use, how attention mechanisms changed everything, and the role of multimodal training beyond text.
Curious how large language models actually work? Read More »
In this episode of Talking to AI, Paul unpacks one of the most misunderstood topics in modern finance — how mortgages, bonds, and fractional reserve banking truly work. From the mechanics of mortgage-backed securities to the myths of money creation, this deep dive reveals how banks make money, why they can lend more than they
Mortgages, Money, and the Myth of Fractional Reserve Banking Read More »
In this lighthearted and fascinating episode, Paul Ayling explores ChatGPT’s remarkable ability to switch between accents and tones — from a friendly default to humorous, business-like, academic, and even Norwegian or Australian. Together, they test how far AI voices can stretch across cultures, emotions, and personalities, discovering both the creativity and the limits of synthetic
Talking to AI — ChatGPT’s Voices & Accents: A Conversation in Style Read More »
Paul Ayling dives into the surprising challenges of configuring a multi-participant AI podcast recording using a Zoom H5, MacBook Pro, and iPhone — while juggling ChatGPT and Grok on separate channels. What began as a two-hour task turned into a two-day lesson in iteration, feedback loops, and the limits of automation. Paul reflects on documentation,
Talking to AI — Setting Up Audio: When AI Meets Complexity Read More »
n this new episode of Talking to AI, Paul dives deeper into the world of language learning — this time continuing his hands-on experiment: learning Norwegian with AI.In Part 2, he takes the conversation beyond simple words and phrases, moving toward real, natural dialogue — with the AI correcting pronunciation, translations, and responses along the
Learn Norwegian with AI – Part 2: From Phrases to Real Conversations Read More »
In this episode, Paul explores the creative and emotional capabilities of ChatGPT through a personal experiment. He uses one of ChatGPT's music-making features to generate a song based on a simple and heartfelt prompt about parenting and the struggles of feeding a newborn. The resulting AI-generated song, 'Feed Me,' surprises Paul with its emotional depth
When AI Writes Songs: Experiencing Emotional Creativity with ChatGPT Read More »