Paul at Talking to AI

Cinematic podcast artwork featuring a frying pan with teal neural-node overlays, orange waveform, and the episode title “Buying a Frying Pan: The Truth About Non-Stick & High Heat,” representing modern tech-meets-cooking themes.

Buying a Frying Pan: The Truth About Non-Stick & High Heat

In this deliciously practical episode, Paul digs into the surprising truth behind non-stick and ceramic frying pans — why they fail, what actually survives high heat, and whether clever marketing hides real performance limits. Together with AI, he explores the real-world durability of Teflon, ceramic coatings, titanium-reinforced surfaces, cast iron, carbon steel, and stainless steel. […]

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Hybrid-style illustration of a bank, a laptop, a payment card and a glowing world map connected by teal network nodes, representing global financial transaction systems.

How Global Financial Transactions Really Work

Ever wonder what actually happens when money moves between banks — especially across borders? In this curious, light-hearted conversation, Paul untangles the invisible plumbing of the financial world: clearinghouses, SWIFT, SEPA, Norway’s KID system, the IMF, and how governments sometimes step in to move money (or stop it)! We explore why banks trust each other,

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Podcast cover graphic featuring bold title text with a stylized microphone, laptop, and waveform visuals in teal and orange tones against a dark modern gradient, symbolizing ChatGPT memory and audio-recording workflow.

Understanding ChatGPT Memory & Audio Setup

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

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A dark, modern podcast graphic with teal network-node visuals and bold text reading “Can AI Make Me Money?” with the subtitle “Talking to AI.”

Can AI Make Me Money?

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

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Podcast cover showing title ‘Understanding LLMs: How They Work’ with neural network nodes, waveform, and dark cinematic tech background.

Curious how large language models actually work?

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.

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Mortgages, Money, and the Myth of Fractional Reserve Banking

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

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Talking to AI — ChatGPT’s Voices & Accents: A Conversation in Style

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

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Talking to AI — Setting Up Audio: When AI Meets Complexity

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,

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Learn Norwegian with AI – Part 2: From Phrases to Real Conversations

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

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When AI Writes Songs: Experiencing Emotional Creativity with ChatGPT

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

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