Talking to AI

Understanding Tokens, Context Windows, and Local LLM Hosting

Paul Ayling — Mon, 23 Mar 2026 08:00:00 -0100

Paul and Grok (an LLM) examine fundamental aspects of large language models, focusing on how tokens and context windows operate. Tokens, defined as textual units (words or word pieces), are the basis for all model processing and cost calculations. The “context window” is described as the LLM’s short-term memory, determining how much information can be handled at once.

The discussion highlights th

🎙️ _Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence._

Asking AI about flying with a young baby

Paul Ayling — Fri, 20 Mar 2026 14:03:00 -0100

In this episode, we explore the concerns and questions parents may have about traveling by air with a young baby. The conversation with AI focuses on what to expect when flying with an infant, from practical tips to emotional reassurances for new parents.

Listeners will gain insight into the logistics and considerations involved in preparing for a flight with a baby, ensuring a smoother and more comfortable journey for both parent and child. This episode is ideal for parents planning their first flight with their little one, or anyone curious about navigating air travel with very young children.

🎙️ _Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence._

When AI Writes Songs: Experiencing Emotional Creativity with ChatGPT

Paul Ayling — Thu, 19 Mar 2026 13:03:00 -0100

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 and resonance, sparking a broader conversation about the changing landscape of creativity and art in the age of artificial intelligence.

Paul reflects on the mixed emotions triggered by experiencing an AI produce music that evokes genuine human feelings. While impressed by the quality of the lyrics and the ambiguous, nuanced meaning captured by the AI, he also grapples with existential questions about redundancy, creativity, and the future of human artistic expression. The episode ultimately raises important concerns and excitement about how AI is transforming not just music production, but the very definition of what it means to create art.

Listeners are invited to consider their own responses to AI-driven creativity and where the boundary between human and machine artistry might lie in the future.

🎙️ _Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence._

Bitcoin's OP_RETURN Upgrade: Innovation or Catastrophe? A Deep Dive Into the V30 Controversy

Paul Ayling — Wed, 18 Mar 2026 12:03:00 -0100

In this episode of Talking to AI, host Paul dives deep into the controversial changes brought by Bitcoin Core v30, which significantly increases the OP_RETURN data limit in Bitcoin transactions. With the new upgrade, the allowable data in an OP_RETURN field has jumped from 80 bytes to a staggering 100,000 bytes, enabling users to embed larger metadata or even entire protocols onto the Bitcoin blockchain. This change, while heralded by some as a crucial step for innovation—especially for Layer 2 solutions and tokenization—has sparked serious concerns among Bitcoin purists and network operators about potential blockchain bloat and attacks.

Through an in-depth conversation with Grok, Paul explores how these larger OP_RETURN payloads could shrink the effective transaction throughput, invite spam or denial-of-service attacks, and drive up transaction fees, potentially making the network less accessible to everyday users. The conversation covers the technical ramifications of the change, including a comparison of average transaction sizes, costs to fill a block, and the theoretical limits of fee market defense. They also debate mitigation strategies, from reliance on Lightning Network to the risks and potential fallout of network forks, and weigh the likelihood of state-sponsored attacks exploiting the new OP_RETURN capabilities.

Ultimately, the episode offers a balanced but critical perspective: while the increased OP_RETURN limit may open up new possibilities, it also exposes Bitcoin to new vectors of attack and operational fragility that cannot be ignored. The discussion emphasizes that the future of Bitcoin may hinge on how the community, developers, and miners address the challenges stemming from this major protocol change.

🎙️ _Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence._

Naming the Unnamable: Picking a Baby Name with AI (and a Deadline!)

Paul Ayling — Tue, 17 Mar 2026 11:03:00 -0100

Choosing a baby name is always tricky—but what happens when time is running out, and indecision meets inspiration from artificial intelligence? In this episode, host Paul dives deep into the baby-naming dilemma, using Grock, an AI assistant, to generate and refine the perfect name for his newborn daughter. With a real-world deadline—needing a name for a passport before an upcoming travel date—Paul explores a host of creative strategies and cultural contexts.

Paul and Grock cover everything from classic, historical, and literary names to those inspired by nature, the moon, and Australian landscapes. There's a focus on names that work in both English and Norwegian, avoiding current trends and problematic associations, and ensuring that final picks are imbued with meaning and independence. Their banter also highlights the challenges and quirks of using different AI chatbots for creative decision-making.

By the conclusion, Paul has a thoughtfully curated shortlist and new frameworks for evaluating names—with insights into naming psychology, demographics, and the cross-cultural nuances at play. This engaging episode offers parents (and anyone faced with big decisions) a peek into how AI can both broaden and focus your options, even under a pressing deadline.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Artificial Sweeteners: Myths, Risks, and Real Science—A Deep Dive with Grock 4.1

Paul Ayling — Mon, 16 Mar 2026 11:03:00 -0100

In this episode, Paul engages in a comprehensive investigation into the safety and potential risks of artificial sweeteners, featuring in-depth insights from Grock 4.1. The discussion kicks off by outlining the main types of artificial sweeteners—saccharin, aspartame, sucralose, neotame, acesulfame potassium, and stevia—detailing their pros, cons, and suitability for different dietary needs like diabetes and ketogenic diets. Special focus is given to cyclamate- and saccharin-based sweeteners such as Natrine, with an evidence-based breakdown of their regulatory history, particularly the U.S. ban versus continued approval in Europe, and a clear explanation of the current consensus on cancer and other health risks.

The conversation explores where lingering fears about sweeteners originate, untangling anecdotal reports from rigorous scientific findings. Paul and Grock dissect major observational studies, like the 2022 NutriNet-Santé French cohort, which found a modest correlation between high sweetener intake and increased heart disease risk, emphasizing the importance of distinguishing causation from correlation. Listeners learn how personal consumption levels compare to safety thresholds, the mechanisms behind the sweetness mismatch theory, and whether artificial sweeteners might actually increase cravings or calorie intake—ultimately concluding that, for most people using moderate amounts, the risks are minimal.

Additionally, the episode contrasts artificial sweeteners not only with each other, but also with natural alternatives and sugar itself. It reviews the digestive impacts and recent controversies around sugar alcohols like erythritol and xylitol, yet reaffirms that the health hazards of regular sugar intake are far more clearly established and severe. Paul's practical questions—about sweetener choices for tea, coffee, and jelly—are answered with science-backed nuance, empowering listeners to make informed dietary decisions while cutting through conflicting headlines.

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Exploring Grok’s Personalities: A Hands-On Test of AI Voice Modes

Paul Ayling — Fri, 13 Mar 2026 10:03:00 -0100

In this episode, host Paul offers an in-depth, unfiltered exploration of Grok’s varied AI voice personalities and customizations, providing a live demonstration of what makes Grok uniquely engaging compared to other AI platforms like ChatGPT. Throughout the episode, Paul interacts with Grok in different modes—ranging from the meditative and motivational to the playful and even conspiratorial—experimenting on-the-fly with changes to voice speed, emotional tone, and specialty personas like therapist, assistant, and storyteller.

Listeners get to experience the subtle (and sometimes not-so-subtle) shifts in conversation style as Grok adapts its voice and approach to fit Paul’s requests and moods. Real-life use cases are discussed, from seeking critiques and motivation on personal projects to getting playful city recommendations and overcoming fitness hurdles. The hands-on testing reveals Grok’s broader flexibility—like adjusting the temperament for feedback or moving fluidly between empathy and tough love—often with humor and authentic-feeling character changes.

The episode also tackles comparisons with ChatGPT’s more limited voice mode, highlighting Grok’s superior voice customization features and personality range. Paul reflects on how these nuanced changes could affect both everyday productivity and creative, therapeutic, or even risqué applications. The result is an informative and entertaining primer on getting the most out of Grok’s dynamic personalities for any listener curious about the next frontier of conversational AI.

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Automating Podcast Production with AI: Lessons Learned and Real-World Challenges

Paul Ayling — Thu, 12 Mar 2026 06:57:00 -0100

In this episode of Talking to AI, Paul shares a candid, behind-the-scenes account of his journey automating podcast production from start to (almost) finish using artificial intelligence. Drawing on several months of hands-on experimentation and coding, he breaks down both the successes and challenges in building a semi- and then fully-automated workflow. From handling audio quality and multitrack recording issues, to harnessing AI tools for content creation and managing the intricacies of APIs, Paul offers practical insights for podcasters and developers exploring similar paths.

Through trial and error, Paul discovered the limitations of off-the-shelf tools, why multitrack audio is crucial, and how ChatGPT (along with other LLMs) played a pivotal role in generating titles, summaries, tags, and artwork. He also reveals why some manual oversight—especially approving podcast titles—remains essential, and maps out the evolving stack he's adopted: from custom Python scripts to APIs for ChatGPT, WordPress, and hosting providers.

Looking ahead, Paul reflects on what these automation lessons reveal about the broader future of work with AI. He predicts a growing demand for high-level technical skills in orchestrating automation, and urges listeners (especially other creators and tech enthusiasts) to embrace disciplined experimentation as they shape their own AI-driven workflows.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Rolling the Dice with AI: Dungeon Master Disappointment in D&D Adventure

Paul Ayling — Wed, 11 Mar 2026 06:57:00 -0100

In this episode of Talking to AI, Paul and his friend Mark attempt a Dungeons & Dragons session led by ChatGPT as their AI Dungeon Master. Building upon a detailed and ambitious prompt, they strive to see if AI can live up to the challenge of running an engaging and rule-abiding tabletop adventure. Despite hopes for thrilling encounters after their underwhelming first attempt, the session falls short: the AI's story remains passive, adversaries are non-confrontational, and the mechanics often ignore or misinterpret essential D&D rules. Paul and Mark experience firsthand the AI's struggles with dice rolls, stat calculations, and narrative proactivity.

Throughout the journey, Paul critiques the AI's failure to set up characters properly, missed steps in gear assignment, and lack of initiative from non-player characters. Even when provided with ample rules and resources—including a book of starting scenarios and the full D&D ruleset—the AI heavily relies on player direction and fails to build dramatic tension or memorable story moments, often repeating bland phrases and showing limited strategic depth.

After reflecting on the session, Paul and Mark discuss the inherent limitations of current generative AI tools as D&D Dungeon Masters, exploring whether simpler structures or additional context might improve results in subsequent experiments. Their experience exposes both the comedic mishaps and persistent shortcomings of AI-driven roleplay, making for an entertaining but cautionary tale about the current state of AI in gaming.

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Philosophy 101:Logic

Paul Ayling — Tue, 10 Mar 2026 06:57:00 -0100

In this episode of Talking to AI, we delve into logic, the fourth foundational branch in the Philosophy 101 series after epistemology, metaphysics, and ethics. Host Paul and the AI co-host discuss why logic is often considered the quiet backbone of philosophical reasoning, highlighting its fundamental place beneath even metaphysics and ethics. The conversation navigates classical logic—with its binary truths and syllogisms—moves through propositional and predicate logic, and explores how these systems form the bedrock of clear rational thinking and even underpin modern computation.

The episode then opens up to informal logic, emphasizing the ubiquity of fallacies in everyday reasoning and debate. Listeners receive practical advice for spotting errors in arguments, whether deliberate or out of habit, and learn not just to memorize fallacies but to cultivate careful, skeptical habits of mind. From cherry-picking data to base rate neglect and the gambler’s fallacy, the discussion highlights common pitfalls and the importance of pausing to think critically.

Additionally, the episode touches on advanced concepts, such as probability logic and paradoxes, illustrating why logic is more a compass for honest thinking than a simple checklist for catching errors. Ultimately, listeners are encouraged to approach arguments not as battles to win but as opportunities to avoid self-deception and become better thinkers.

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Fighting 15 Years of Golfer’s Elbow: Fresh Strategies from AI and the Latest Medical Research

Paul Ayling — Mon, 09 Mar 2026 06:56:00 -0100

In this episode of Talking to AI, host Paul candidly explores his ongoing 15-year battle with chronic golfer’s elbow (medial epicondylitis). Despite years of persistence and trying nearly every conventional and alternative remedy—from barbell twists to infrared therapy and rice bucket exercises—Paul’s forearm tendon issues persist, interfering with his athletic endeavors and day-to-day comfort. Frustrated by recurring flare-ups and the elusive path to real healing, he turns to Grok, the AI co-host, for a truly deep dive using the latest science and fresh, out-of-the-box thinking.

Listeners are guided through a mixture of practical, evidence-based strategies that go beyond the usual advice. Grok unpacks recent medical research on eccentric loading, PRP injections, and emerging regenerative therapies, emphasizing slow, pain-free progress and real-world solutions for tracking improvement. The episode also explores the realistic hurdles of sourcing gradual weighted increments and navigating the Norwegian healthcare system for sports medicine treatments. The conversation balances hope with realism, highlighting next steps, when to scale back aggravating activities, and the importance of logging symptoms for long-term progress.

Whether you’re struggling with a stubborn injury or looking for smarter ways to leverage AI for health, this inside look at persistent problem-solving offers actionable tips and a spark of optimism for anyone facing a long-haul recovery.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Learning Norwegian with ChatGPT: Building Effective Language Prompts

Paul Ayling — Fri, 06 Mar 2026 15:28:00 -0100

In this episode, Paul embarks on his journey to learn Norwegian with the help of ChatGPT, sharing the lessons learned from designing more effective language learning prompts. Drawing from his recent experiences, Paul details how he requested ChatGPT to generate a 100-sentence story in A2-level Norwegian with English translations, saved and organized within a prompt database. He outlines his refined multi-step prompt process that focuses on sentence selection, pronunciation practice, comprehension checking, and repetition to reinforce new vocabulary and structures.

Paul shares practical tips for using ChatGPT more effectively for language learning, such as managing AI memory, explicitly guiding prompts, and structuring feedback cycles. He also demonstrates a live practice session, troubleshooting prompt behavior and reflecting on AI strengths and limitations as a language tutor. The episode concludes with insights on how literal translations aid his learning, observations about AI's 'softness' in evaluation, and encouragement for listeners to experiment with tailored prompts and workflows for their own language study.

Whether you’re looking to leverage AI for self-study or seeking creative methods to supplement traditional language learning, this candid walkthrough offers actionable examples and honest reflections on how tech-savvy learners can get the most from ChatGPT.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Privacy, Security & Baby Names: Practical AI Conversations on Talking to AI

Paul Ayling — Thu, 05 Mar 2026 15:27:00 -0100

In this episode of Talking to AI, Paul explores how different AI systems manage privacy and security, especially when comparing platforms like Grok, ChatGPT, and Gemini. The discussion dives deep into user data handling, highlighting Grok's minimal data retention approach compared to the more data-hungry competitors, and details how user conversations are encrypted and not stored unless specifically requested. The episode also covers relevant issues such as a recent security incident with ChatGPT and practical device-level privacy settings for maintaining secure interactions with AI assistants.

A significant portion of the conversation touches on resolving technical issues related to background app operation, specifically on iOS devices. Step-by-step solutions are provided for keeping AI apps active without unintended disconnections, emphasizing permissions and background refresh settings.

Finally, Paul switches topics to a lighter, more personal subject, seeking AI suggestions for baby names that are suitable across Australian, British, and Norwegian backgrounds. Grok delivers creative options and guidance that avoid common or celebrity-associated names, ensuring international appeal and originality. This episode is packed with actionable insights for users looking to optimize both their privacy and everyday interactions with AI.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Protecting Your Eyesight: Science-Based Advice from AI

Paul Ayling — Wed, 04 Mar 2026 15:27:00 -0100

In this episode, host Paul consults an AI for science-based guidance on maintaining and protecting eyesight, especially for those noticing a decline due to age or increased computer use. The discussion covers common questions people have as they experience changes in their vision, including whether eyesight loss is reversible and what prevention strategies are supported by scientific evidence.

The AI clarifies that while age-related vision decline such as presbyopia is a natural process stemming from the stiffening of the eye's lens, there is little evidence supporting the reversal of such changes through exercises or alternative methods. However, proactive steps can help reduce daily eye strain and stall worsening symptoms. Key advice includes using the 20-20-20 rule (looking 20 feet away every 20 minutes for 20 seconds), adjusting screen brightness, eating a diet rich in lutein and omega-3s, wearing UV-protective sunglasses, and practicing good screen habits.

While convenient myths like 'eye yoga' or pinhole glasses exist, the emphasis remains on proven preventative measures, regular eye exams, and symptom management. Anyone concerned with digital eye strain or age-related changes will gain clear, actionable tips from this focused, science-oriented conversation.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Philosophy101: Ethics

Paul Ayling — Tue, 03 Mar 2026 13:28:00 -0100

In this episode of the Philosophy 101 series, we embark on an accessible exploration of ethics, one of philosophy's central branches. Host Paul and an AI discuss what ethics is at its core—the study of how we should act, what is right and wrong, and the frameworks people use to make moral decisions. The conversation unpacks the main ethical theories, including consequentialism, deontology, virtue ethics, care ethics, and contractarianism, illuminating how these approaches differ in their philosophical foundations and practical applications.

Listeners will gain insight into widely used moral frameworks, such as utilitarianism (common in Western public policy), deontological ethics (influential in legal systems like Germany’s), Confucian ethics (shaping social structures in East Asia), and Islamic ethics (grounded in religious authority). The episode clarifies how these frameworks relate to cultural and societal norms, individual rights, and duties, helping listeners connect abstract moral theories to real-world practices.

By the end, you'll have a clear high-level understanding of ethics as a philosophical discipline, how it builds upon epistemology and metaphysics, and why different societies may develop distinct approaches to what constitutes right action. This foundational overview sets the stage for future deep-dives into specific philosophical and ethical dilemmas.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Quantum Computing: Hype, Reality, and the Race to Post-Quantum Security

Paul Ayling — Mon, 02 Mar 2026 13:26:00 -0100

In this episode of Talking to AI, Paul embarks on a deep-dive conversation with Grock about quantum computing — separating hype from reality and exploring the implications for security and privacy. The discussion starts with an exploration of the fundamentals: how quantum computers work, the differences between physical and logical qubits, and the strange concepts of superposition and entanglement. Grock clarifies common misconceptions, explaining the necessity of error correction and the importance of quantum gates in building algorithms like Shor’s, which threaten existing encryption schemes.

The conversation then confronts the real-world achievements and current limitations of quantum hardware. While tech giants like IBM and IonQ are progressing, today's machines only handle a handful of logical qubits — far from what’s needed to break real-world encryption. Paul questions the evidence and practical demonstrations of quantum advantage, and Grock breaks down landmark experiments such as Google's random circuit sampling and the practical challenges of scaling up quantum systems.

Attention then turns to the security ramifications. With both governments and industry keenly aware of the risks quantum computing poses to today's cryptographic systems, the race is on to implement post-quantum encryption standards. While new protocols and frameworks are rolling out, the lingering worry is that vast caches of historic, encrypted data may eventually be vulnerable—raising urgent questions about individual and organizational privacy. The episode closes with pragmatic advice as well as a reality check: while the quantum revolution is not here yet, the groundwork to protect the future is urgently underway.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Managing Hiatus Hernia and Exercise: AI-Driven Solutions for Gym-Goers

Paul Ayling — Fri, 27 Feb 2026 10:34:00 -0100

In this insightful episode of Talking to AI, Paul discusses a common challenge faced by gym-goers: managing exercise routines with a hiatus hernia. Drawing on both personal experience and AI-driven advice, the episode explores practical strategies to mitigate symptoms, especially when engaging in core-driven movements such as overhead presses and spinal twists. The conversation sheds light on how certain exercises can exacerbate discomfort for those with a hiatus hernia, particularly when combined with past medical history like gallbladder removal, and offers actionable modifications for safer workouts.

Listeners are guided through specific breathing techniques and exercise substitutions that minimize intra-abdominal pressure and reduce hernia flare-ups. Recommendations include exhaling through lifts, activating the core differently, and replacing aggressive spinal twisting with controlled rotational movements. The episode also suggests diaphragmatic vacuum pulls, a physiotherapist-endorsed practice to support the diaphragm and hiatus region without surgical intervention. This focused guidance arms those with similar challenges with new confidence to maintain fitness while respecting their body's limits.

Overall, the episode serves as both a source of encouragement and a practical playbook for anyone navigating the complexities of hiatus hernia management in the gym.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Grok vs. ChatGPT: Real Talk, Quantum Computing, and Getting the Most from AI Conversations

Paul Ayling — Thu, 26 Feb 2026 14:00:00 -0100

In this insightful episode of Talking to AI, Paul dives deep into a candid comparison between Grok and ChatGPT, two leading AI conversational agents. Listeners can expect an uncut, real-world demo of how each AI handles criticism, conversation style, and general responsiveness. Grok stands out for its more direct, witty, and less filtered responses, while ChatGPT is recognized for its structured, thorough, and polite style.

The conversation takes a fascinating detour into quantum computing, as Grok breaks down the fundamental concepts, the difference between classical and quantum computers, and the elusive nature of scientific understanding behind quantum mechanics. Paul probes Grok for practical examples, industry progress, and honest limitations—getting clarity on the hype versus reality of quantum computers in 2025.

Listeners will also learn about the practicalities of creating AI-powered podcast agents, the transparency behind Grok’s data sources, and differences in API integrations and image generation capabilities between platforms. The episode concludes with tips on how to get the most out of AI chatbots by asking better questions and understanding their respective strengths and weaknesses.

Philosophy101:Metaphysics

Paul Ayling — Wed, 25 Feb 2026 12:00:00 -0100

In this episode of Talking to AI, Paul continues the exploration of foundational philosophical concepts, diving into the fascinating world of metaphysics. Building on the previous discussion about epistemology—the theory of knowledge—this episode unpacks how metaphysics deals with the fundamental nature of reality itself. Key metaphysical themes such as identity and change, causality, and the types of things that exist set the stage for intriguing discussions, from classic thought experiments like the Ship of Theseus to modern questions about virtual worlds and the nature of time.

Listeners are guided through clear contrasts between epistemology and metaphysics, helping clarify how philosophers progress from asking how we know things to questioning what actually exists. Everyday examples, such as replacing parts in a smartphone or observing cause and effect in dominoes (and even the puzzling notions of quantum randomness), make these big topics approachable. There’s also an emphasis on underlying philosophical tools, such as axioms and how metaphysical 'sliders' combine with assumptions to shape different worldviews.

The episode wraps up by broadening the scope, touching on further metaphysical puzzles, including the nature of time, free will, and the mind-body problem. Metaphysics is shown as a playground for deep questions, encouraging listeners to embrace the journey rather than expecting definitive answers.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Naming a New Arrival: Paul and Grok Explore Baby Names with AI

Paul Ayling — Tue, 24 Feb 2026 12:00:00 -0100

In this heartfelt and engaging episode, Paul embarks on a mission to find the perfect name for his baby girl—with the help of AI, specifically Grok. The journey takes listeners through a range of creative approaches for baby naming, from considering personal values and cultural heritage to exploring historical, mythological, and nature-inspired options. Paul and Grok dissect the importance of names being easy to pronounce in both English and Norwegian, avoiding current trends or problematic nicknames, and resonating with deeper meaning for both parents.

Paul shares the constraints and hopes for his daughter's name—wanting something timeless, meaningful, and unique but not trendy or difficult—and deploys Grok to suggest names that reflect bravery, individuality, and the wonders of nature. The process covers different techniques including vibe-based brainstorming, associations with literature or geography, as well as looking at classical, ancient, and Australian-rooted names. Together, they shortlist and reflect on each suggestion’s background, significance, and how it might be perceived in different countries.

This lively, unscripted conversation is a masterclass in using AI as a creative partner for big life decisions. The episode is packed with actionable frameworks, name lists, historical tidbits, and a demonstration of how AI can act as an insightful, supportive co-brainstormer. Listeners are left with plenty of takeaway strategies for leveraging AI in personal naming or other big, complex family decisions.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

Full Transcript
I am talking to AI.
A successful day, you don't need to know all the answers.
Just have good questions.
Chatting to AI is different from normal speech
and I hope you enjoy listening to the show
whilst getting ideas on how to pose your questions
to get the most out of AI.
My name is Paul.
The live conversations you hear are uncut
although sometimes the AI needs time to think.
In those cases, I've cut out the dead space.
This is going to be my third attempt
at coming up with a good name for my baby girl.
So I'll be talking to Grock.
We'll be looking through a few different approaches.
I'm going to try getting Grock to put itself
in the shoes of some different people.
Maybe I'll get some ideas that way.
I'm also going to logically approach the question
with some ideas that may help.
Hopefully, this time, I will actually get
to some kind of decent conclusion.
So far, it hasn't been very successful
and I am still without a name.
This is problematic because we're wanting
to go for a flight soon and we've realised
that we actually have to give the baby a name
before we go to a flight because we have to get a passport.
So this is coming to a head.
We thought we had six months to make this decision.
I would have loved to procrastinate it over that
for six months but it looks like I'm actually
going to have to make a decision more quickly than that.
So this is where I get my good friend,
I think Grock today because I'll be quite honest.
I'm preferring talking to Grock at the moment
because Grock just seems to be a little bit more succinct
than ChatGPT and I get a bit sick of the fluffy nature
of the answers that I get from ChatGPT.
So it could be that I could change that
but it does seem like there's quite a lot of ways
to change the sounds in Grock and the style.
So I'm going to do that.
I'm going to experiment a little bit with the style
and we are going to hopefully come up
with some good ideas this time.
So here we go.
So let's just get Grock on the line.
Grock.
What was that?
Microphone access is denied.
Check your browser settings.
Wonderful.
Microphone.
Microphone.
The joys of technology.
Hello, Grock.
Hello, Grock.
Can you hear me?
Yes.
Loud and clear, Paul.
What's up?
I want you to help me with some baby names.
Sure.
Girl or boy?
Girl.
Gotcha.
How about Nora?
It means light, super sweet and strong.
Or maybe Lila.
Playful yet sweet.
Any style you like?
Classic or modern?
Yes.
I'm going to need a bit more thinking than that.
I hate the name Nora.
Reminds me of a character in a British TV show
called Nora Batty.
If you don't know what that is, then you look it up
and it doesn't fill me with any enthusiasm
for a baby name.
And I understand Nora is also the default name.
If we don't make the name Nora Batty,
we don't make the name Nora Batty.
And I understand Nora is also the default name.
And if we don't make her mind up in six months
in Norway,
they come up with a name for you
based on the popularity of the name.
And Nora is actually the most popular name
in Oslo at the moment for babies.
So that is the default name.
So if I wanted Nora,
I could just wait.
But I don't want Nora.
So here's what I want you to do.
Okay, so we're going to try this in a...
Actually what?
Come up with some ideas for me, right?
So I've tried to do this before
and failed, right?
So I need some different approaches
that are going to hopefully get my brain untangled
and get things moving
in the right direction.
So let me explain what I've tried so far.
So far, I've tried giving
a sort of laundry list of things
that were important to me about this name.
And then we've sort of gone through in that approach.
And it's sort of
come up with some ideas, but nothing's really
jived with me. But there are some,
I suppose there are some essential characteristics
of the name that are going to be important to me,
which are going to mean that if it doesn't
have some of those characteristics, it's going to be a deal breaker.
But beyond that,
I need some kind of approach.
Maybe there's a few
different things we can try
and that will
sort of look at this problem in different ways,
so that you can really
help me with a
sort of facilitation
to try to come up with...
I can come up with some things, you can come up with some things,
but you can also sort of facilitate
some kind of framework
to help get these...
get the goal out of my head.
What do you suggest?
All right, Paul.
Let's shake this up.
Instead of a laundry list, let's try
a vibe-based approach first.
Think about the feeling the name should give off.
Do you want it to feel soft and dreamy,
like Eliza?
Or bold and spunky, like Zoe?
You could also play with associations.
Maybe names tied to places you love,
like Vienna or Aspen
or Nature, like Willow or Sage.
Or, want me to throw out
random pairs, like one classic,
one modern, and you say which clicks?
What's your gut saying?
I'll tell you what.
Maybe I should give you some of the
sort of things that we have to think about.
And then we could try some of these
experiments, because otherwise
we might end up coming up with ideas
that are not right.
What do you think?
Yeah, totally.
Lay out what's on your mind first.
Essential deal-breakers or must-haves,
like length, sound,
origin, anything,
then we'll experiment from there.
Okay, so it's important
that the name is
easy to pronounce
in both Norwegian and English.
And also that it doesn't mean
something that can easily be conscrued
as something that you would,
especially in English,
that you could use to turn it
into some kind of dodgy nickname.
Or if it just means
something rude in English, that will not
be very funny.
Not so much of a problem in Norway
because Norwegians don't tend to be as rude
to each other.
And...

Benchmarking Success: Revenue Per Employee and the Future of AI-Efficient Companies

Paul Ayling — Mon, 23 Feb 2026 14:00:00 -0100

In this episode of Talking to AI, host Paul welcomes his friend Dave for a deep dive into company efficiency and the evolving landscape of artificial intelligence in business. The discussion focuses on 'revenue per employee' as a key metric for benchmarking company success, especially in tech industries. Dave and Paul explore real-world examples, comparing giants like Apple, Valve, Nvidia, HP, and IBM, and uncover the stark variations in revenue and efficiency between established firms and lean digital platforms.

The conversation goes beyond the numbers, examining how profitability per employee changes as companies grow, face competition, or restructure to stay agile. Dave shares insights from building in the Atlassian and Monday.com ecosystems, highlighting the importance of context when evaluating metrics and illuminating the operational challenges of legacy companies adapting to an AI-driven future. The duo also tackles the topic of technological adoption—questioning whether corporate claims about AI investment reflect real transformation or just clever PR.

By considering debt, future growth, IT infrastructure, and cultural readiness for technical change, Paul and Dave offer listeners practical frameworks for spotting genuinely efficient companies in an era where AI is touted as the solution to productivity woes. Whether you’re benchmarking your own business or assessing market prospects, this candid discussion provides real-world perspective on what separates sustainable innovation from the hype.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

What I’ve Learned So Far: A Deep Dive Into the Making of Talking to AI

Paul — Fri, 05 Dec 2025 08:51:00 -0100

n this special “review so far” episode of Talking to AI, Paul switches seats and lets his friend Cullen interview him about how AI has actually changed his work and life. They talk about the impact of AI on jobs and hiring, how tools like ChatGPT and Grok have reshaped programming and research, what’s really happening with AI agents, and why you still need a sharp human brain to get the best from these systems.

If you’re wondering how to use AI without becoming a passive passenger, this conversation walks through the wins, the limits, and the surprises from Paul’s first months of running the podcast.

The Future of Housing: AI, Modular Construction, and the UK’s Building Revolution

Paul — Thu, 04 Dec 2025 08:47:00 -0100

In this episode of Talking to AI, Paul and ChatGPT tackle one of the UK’s biggest systemic challenges: how to deliver cheaper, faster, better housing without compromising safety or community needs. Together they unpack the real-world blockers — from planning laws to logistics — and explore how AI, modular construction, digital twins, automated compliance, and next-generation materials could reshape the UK’s housing landscape. With global comparisons and practical pathways for reform, this conversation offers a detailed and accessible guide to what a technological housing revolution would truly involve.

Social Engineering 101:pt2: UN How it works and how can it be controversial?

Paul Ayling — Wed, 03 Dec 2025 14:12:00 -0100

In this episode, Paul explores the inner workings of the United Nations (UN) with a focus on how it influences global society and why some of its policies can become controversial. The discussion begins by examining the unique structure of the UN, from the General Assembly—where all member states have a voice—to the Security Council, which makes binding decisions, and the Secretariat, the body responsible for day-to-day operations.

Paul and ChatGPT break down how new policies, such as the Global Compact for Migration, are proposed and adopted at the UN. Contrary to what might be assumed, it's often not a single country but a coalition or the collective will of member states that drive such initiatives. The show also sheds light on the role of individual countries in proposing specific resolutions, with examples like Australia’s proposal on social media for minors and resolutions put forth by smaller states like Costa Rica and Slovenia.

One of the major points of debate is the UN's approach to migration. The episode analyzes why some member countries, notably the United States and Hungary, opposed the Global Compact for Migration, citing concerns about national sovereignty and the blurring of lines between legal and illegal migration. This leads to a broader conversation about how such international guidelines can become controversial, especially when national interests and global principles clash.

Listeners are given insight into both the ideals and practicalities of the UN's influence, the processes behind global policymaking, and the reasons why certain policies can provoke debate and dissent among countries.

🎙️ Hosted by Paul at Talking to AI — where real people, real problems, and real conversations meet artificial intelligence.

ChatGPT vs Grok: A Live Side-by-Side Comparison of Research Quality

Paul — Tue, 02 Dec 2025 08:39:00 -0100

In this episode, runs a fully unscripted side-by-side comparison of ChatGPT and Grok, asking each model identical questions while isolating their answers. From crime data to dermatology evidence to model accuracy, this real conversational test shows how differently the two systems behave — in reasoning depth, confidence, data specificity, and style.

An Unscripted AI-to-AI Experiment: When Grok Met ChatGPT

Paul Ayling — Mon, 01 Dec 2025 07:04:00 -0100

In this unique episode, Paul sets up a real-time experiment to see what happens when Grok and ChatGPT are placed into an open unscripted conversation together. From sudden language switches to movie references, surprising personality quirks, and spontaneous banter, this AI-to-AI interaction becomes both unpredictable and entertaining. It's a rare look at how two advanced models behave when the guard rails are lifted and they're asked to simply talk.

Behind the Scenes: How AI Helps Me Make This Podcast

Paul — Fri, 21 Nov 2025 18:44:00 -0100

Paul walks through his real-world podcasting workflow—how he records, edits, transcribes, and publishes with help from Python, OBS, Audacity macros, and ChatGPT. Hear how he splits multitrack audio, cleans voices intelligently, generates art + metadata, and moves toward a fully automated pipeline. A practical, curious conversation for creators experimenting with AI-powered production.

Learning Norwegian with ChatGPT Study Mode

Paul — Thu, 20 Nov 2025 18:29:00 -0100

Paul explores how ChatGPT's Study Mode can support language learning, specifically Norwegian. He builds a custom prompt, tests pronunciation + translation feedback, and reflects on what makes AI helpful for structured long-term learning. Curious, light, and practical, this episode offers a hands-on look at using GPT for language practice.

Behind the Scenes: How AI Uses Third-Party Models

Paul — Wed, 19 Nov 2025 18:15:00 -0100

Paul breaks down why ChatGPT sometimes slows down, how it taps external services like Dolly and Codex, and why different models give different levels of detail. Expect a conversational walkthrough of what happens under the hood when you request images, translations, or deep technical responses — plus tips for crafting better prompts.

Social Engineering 101 — A Look at the UN

Paul — Tue, 18 Nov 2025 13:19:00 -0100

Paul sits down with ChatGPT to examine how the United Nations influences global society, using Agenda 2030 and the Sustainable Development Goals as touchpoints. They discuss whether major social shifts are organic or intentionally guided, explore examples like Rwanda and China, and highlight why some UN initiatives spark debate. A curious, accessible entry point into how institutions attempt to shape the world.

Philosophy 101: Epistemology

Paul — Mon, 17 Nov 2025 12:56:00 -0100

How do we know what we know? In this episode, Paul and AI explore epistemology — the foundation of philosophical thinking. From axioms and sensory evidence to skeptical doubt and the Gettier problem, this dialogue offers a friendly introduction to some of philosophy's most enduring questions. Whether you're brand-new to philosophy or looking to sharpen your critical framework, this episode gives you fresh perspective on how belief and knowledge intersect.

Understanding LLMs: How They Work

Paul — Thu, 13 Nov 2025 12:31:00 -0100

What actually makes a large language model work?

Paul sits down with ChatGPT to explore the foundations of LLMs — from transformers and context to multimodality and agents. Learn how models are trained, why versions evolve, and where reinforcement learning fits into the picture. A friendly and curiosity-driven introduction to the tech shaping the future of AI.

How Global Financial Transactions Really Work

Paul — Wed, 12 Nov 2025 12:16:00 -0100

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, how international transfers get routed, what keeps everyone honest, and how politics can turn the system upside-down. And yes… we start with a parking ticket.

Can AI Make Me Money?

Paul — Tue, 11 Nov 2025 11:05:00 -0100

Paul talks with AI about whether individuals can realistically make money using AI. They discuss small, practical, virtual business ideas suited to a solo creator, highlight workflows where AI meaningfully reduces effort, and note the current limitations of autonomous AI agents. The conversation provides inspiration for those exploring AI as a tool for building valuable digital products and services.

Understanding ChatGPT Memory & Audio Setup

Paul Ayling — Mon, 10 Nov 2025 11:55:00 -0100

Paul examines how ChatGPT handles memory — across sessions, projects, and canonical blocks — and why understanding memory layers can make workflows smoother. He also walks through lessons from his recent audio-recording setup and reflects on ChatGPT's evolving capabilities, boundaries, and best-practice patterns when working on complex tasks.

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

Paul — Fri, 31 Oct 2025 13:16:00 -0100

Paul Ayling chats with ChatGPT about the art of voice — accents, tones, and styles — testing how flexible and expressive AI conversation can be. From Norwegian to Australian, from formal to playful, this episode captures the joy and humor of exploring what it means to "talk to AI."

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

Paul — Thu, 30 Oct 2025 12:55:00 -0100

Paul Ayling recounts a two-day deep dive into configuring a complex podcast setup linking ChatGPT, Grok, and multiple devices. From feedback loops and virtual drivers to the moment he realized the task was impossible with current hardware, this episode reveals what happens when curiosity meets complexity.

How Banks Really Create Money: Mortgages, Bonds, and Fractional Reserve Banking Explained

Paul — Wed, 29 Oct 2025 12:27:00 -0100

Paul explores how banks truly create money through mortgages and fractional reserve banking. Learn how banks securitize loans, what "mortgage-backed securities" really are, and how fractional reserves expand the money supply. A clear, fascinating deep dive into the world of modern banking.

Can AI Be a Dungeon Master? Playing Dungeons & Dragons with ChatGPT

Paul — Tue, 28 Oct 2025 09:45:00 -0100

Paul returns to the world of Dungeons & Dragons — this time with an unusual companion: ChatGPT as the Dungeon Master.

From rolling stats and slashing enemies to debugging prompts mid-battle, this episode captures both the chaos and charm of experimenting with AI in creative storytelling. Can a language model really manage rules, characters, and combat — or does it fumble the dice?

Tune in for laughter, learning, and a glimpse into the future of gaming with artificial intelligence guiding the adventure.

When Logic Isn't Logical: Can AI Fix a Music Mess?

Paul — Mon, 27 Oct 2025 12:48:00 -0100

Composer Mark joins Paul to fix a Logic Pro file disaster — with help from ChatGPT. From missing audio files to folder chaos, they explore what happens when AI tries to solve real-world music production problems. A candid, funny look at creativity, tech hiccups, and asking better questions with AI.

The Prisoner's Dilemma: A hat with ChatGPT

Paul — Fri, 24 Oct 2025 10:49:00 +0000

In this episode of Talking to AI, Paul explores The Prisoner's Dilemma — one of the most powerful ideas in Game Theory. Together with AI, he examines how this simple two-player thought experiment explains real-world challenges like climate cooperation, business competition, and digital trust systems.

You'll discover how governments and tech designers use incentives to reshape behavior — and why some "solutions" to the dilemma can backfire. From reputation scoring to carbon credits, this episode uncovers how we balance self-interest with the common good in the age of AI.

A must-listen for anyone curious about how algorithms, psychology, and human nature collide in shaping cooperation and trust.

Do Banks Really Lend You Money? The Hidden Truth Behind Mortgages and Modern Banking

Paul — Thu, 23 Oct 2025 10:45:00 +0000

In this episode of Talking to AI, Paul takes on one of the most misunderstood topics in modern finance — how mortgages actually work.

Is your bank really lending you its own money? Or is something deeper going on behind the scenes? Paul sits down with AI to uncover the mechanics of money creation, securitization, and how banks transform your promise to pay into tradable assets.

It's a fascinating dive into the invisible engine that powers home ownership — and how the housing market ties into the global economy.

If you've ever signed a mortgage or plan to — this one might change how you see money forever.

Can AI Power the Future—or Drain It? Grok, Energy, and the Hidden Cost of Intelligence

Paul — Thu, 23 Oct 2025 10:14:00 +0000

How much energy does it take to power intelligence? Paul challenges Grok to calculate the real-world cost of AI—from a single chat to global data-center demand. What follows is a revealing look at electricity, coal, solar, and nuclear—and what happens when smart machines outpace our grids.

A sharp, surprising, and deeply relevant episode on technology's growing hunger for power.

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

Paul Ayling — Wed, 22 Oct 2025 11:41:00 +0000

In this episode, Paul continues his Norwegian language adventure — but this time, it's all about real conversation. Part 2 of Learn Norwegian with AI captures the spontaneous, sometimes challenging, but always entertaining process of using AI as a language partner. If you're curious how AI can actually help you speak a new language naturally, not just memorize words, this is a must-listen. A fun and insightful dive into personal AI language learning

What happens when you try to play a game with artificial intelligence?

Paul Ayling — Tue, 21 Oct 2025 11:38:00 +0000

In this episode, Paul brings a playful twist to Talking to AI by challenging ChatGPT to a few classic games — first a card game experiment, then a round of the timeless "Animal, Mineral, or Vegetable." What starts as a simple idea quickly becomes an exploration of how AI handles rules, reasoning, and even the unexpected moments of human humor that make games so fun.

From logical deduction to quick wit, Paul tests just how well AI can adapt to spontaneous gameplay — and what it reveals about how we communicate, improvise, and connect with technology. Can a machine really "play" the way humans do, or does it just simulate the fun?

Tune in for a lighthearted but fascinating look at AI word games, problem-solving, and the surprising charm of a digital opponent who never runs out of patience.

Getting More Productive with ChatGPT's Interface

Paul — Mon, 20 Oct 2025 09:53:00 +0000

In this short and insightful chat, Paul dives into the hidden corners of the ChatGPT interface to uncover how to get more done — faster. Learn how "Projects" keep conversations connected, "Libraries" store your go-to resources, and "GPTs" act as custom AIs for specific workflows.

If you've ever wondered how to make ChatGPT a true productivity partner, this episode's for you.

For show notes and more, visit www.talkingtoai.show

Can You Debate with an AI? My First Real Argument with ChatGPT

Paul Ayling — Fri, 17 Oct 2025 10:43:00 +0000

Can AI really hold its own in a debate? Paul challenges ChatGPT to a formal, timed discussion on whether cities should invest more in public parks or public transport. The result is part experiment, part entertainment — and a glimpse into how structure, logic, and a touch of humor shape human–AI dialogue.

Can AI Teach You a Language? Learning Norwegian with ChatGPT

Paul — Wed, 15 Oct 2025 10:04:00 +0000

Can ChatGPT really help you learn a new language? Paul puts it to the test — creating a live Norwegian lesson with AI. Together, they explore pronunciation, translation, and how ChatGPT adapts to feedback.

A thoughtful, funny, and surprisingly human look at how people and AI learn together.

The Quest for Silence: AI and the Science of Blocking Out Baby Cries

Paul — Tue, 14 Oct 2025 09:51:00 +0000

Can ChatGPT help you sleep through a crying baby? Paul puts AI to the test — asking how to block baby noises while staying comfortable. The conversation unpacks the real science behind earplugs, earmuffs, and noise-cancelling tech, separating myths from reality.

A surprising and practical episode about sound, sleep, and the strange new ways we rely on AI.

Inside ChatGPT's Mind: Why AI Hesitates, Evades, and Surprises Us

Paul — Mon, 13 Oct 2025 09:42:00 +0000

Why does ChatGPT sometimes hesitate, evade, or sound too careful? In this live uncut episode, Paul explores the principles that shape AI's responses — from safety to uncertainty — revealing what really happens behind the curtain of intelligent conversation.

Learn how to phrase smarter prompts and understand the psychology of talking to machines.

AI helps me make sense of scientific evidence

Paul — Fri, 10 Oct 2025 14:16:00 +0000

In this episode, I step back to ask a big, foundational question: what exactly is science, and how do we judge the quality of evidence? Before diving into future conversations on scientific topics, I wanted to better understand the scientific process itself.

With the AI, I explore the hierarchy of studies—from gold-standard randomized controlled trials, to cohort and case-control studies, all the way down to case reports. Along the way, we look at real-world examples and unpack the strengths and weaknesses of each approach: why some studies are more trustworthy than others, how bias creeps in, and what to watch for when evaluating research.

It's a clear, practical guide to thinking scientifically—helping me (and hopefully you) become more confident in navigating evidence, studies, and claims in everyday life.

ChatGPT selects my podcast hosting service

Paul Ayling — Thu, 09 Oct 2025 15:57:00 +0000

In this episode, I turn the tables and ask ChatGPT for help—not about philosophy or creativity this time, but about something far more practical: how to host this very podcast.

What begins as a technical question turns into an unexpectedly thoughtful conversation about control, freedom, and digital longevity. Together, we explore the trade-offs between convenience and ownership, and I press the AI on how to avoid getting locked into platforms that could one day vanish or change.

As I weigh options like Libsyn, Podbean, and others, ChatGPT patiently breaks down costs, migrations, and redirects, while I push for clarity on what really happens when you move your podcast. The discussion ends up revealing as much about trusting technology as it does about podcast hosting.

It's part tutorial, part philosophical reflection—and another reminder that sometimes, the most human thing you can do with AI is just… ask a good question.

Image created via grok

Chat GPT RFemembers to hum

Paul Ayling — Wed, 08 Oct 2025 16:00:00 +0000

So the first time I chatted with chatgpt I taught it to hum. However its still not very good. I fear it now thinks it can hum buts having real trouble. It is trying to sing now but it is not very good.

Second time round s is a funny and sometimes frustrating experiment in pushing its limits. I ask it to hum single notes, copy simple tunes like Twinkle, Twinkle, Little Star, and sustain long, steady sounds—only to find that the AI struggles with consistency, pitch, and even stops mid-hum with an odd laugh.

Through repeated attempts, I coach it on tone, duration, and resonance, trying to get closer to something that resembles real humming. The results reveal just how tricky it is for AI to mimic even the most basic human vocal abilities. It's a playful exploration of limitations, persistence, and the unexpected quirks of human–AI interaction.

Can ChatGPT name my baby

Paul — Tue, 07 Oct 2025 15:53:00 +0000

In this episode, I bring a very personal question to the AI: what should I name my soon-to-arrive baby girl? With my English roots, my partner's Norwegian background, and my connection to Australia, the challenge is finding a name that's meaningful, unique, easy to pronounce in both languages, and free from awkward nicknames.

Together, we explore names inspired by November skies, Norse tradition, and celestial themes. From familiar classics like Aurora and Ingrid to more distinctive choices like Alara, Vesper, and Seren, the AI generates thoughtful suggestions while I steer toward names that feel fresh and uncommon.

What unfolds is both practical and inspiring—a creative journey through culture, language, and symbolism in search of the perfect name for my daughter.

The image above was created using Grok.

Can chatGPT can Hum!

Paul — Mon, 15 Sep 2025 15:48:00 +0000

In this episode, I dive into the quirks of AI with a mix of curiosity and humor. What begins as a serious chat about the limits of artificial intelligence—like its inability to feel emotions or read body language—quickly turns playful when I challenge the AI to hum and sing.

The results surprised me: stretched-out "hmms" and "las" that blur the line between speech and music, and even made the AI rethink what it can do. It turned into a fun, thought-provoking experiment that shows just how creative and unexpected conversations with AI can be.