O TYM PODKAŚCIE 🔗
Two humans explaining AI so your Grandma can understand it. Tony Bryden and Nathan Roarty take one thing a week — ChatGPT, Claude, AI agents, prompts, whatever just happened — and explain it with quirky analogies, lots of tangents and rabbit holes, and no jargon. If Grandma can understand it, they did their job. Hosts Tony Bryden and Nathan Roarty are friends and colleagues at an AI company who got tired of hearing this stuff explained badly. It's AI for beginners without the beginner's tone: expect apple pie, top-loading VCRs, and somebody's Mum's knitting. Expect no keynote voice, no vendor demos, and no unexplained jargon. (Cover art background: spectrogram by Aquegg, released into the public domain via Wikimedia Commons.)
Częstotliwość aktualizacji:
weekly
Średnia długość dźwięku:
13 minutes
Język angielski
Stany Zjednoczone
10 odcinków
od 23 sierpnia 2026
episodic
W TYM PODKAŚCIE 🔗
NAJNOWSZY ODCINEK 🔗
Check out the full episode to see if we're letting AI off the hook, or is the humans that are the bad actors?
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POPRZEDNIE ODCINKI 🔗
Here's a sneak peak at Episode 8. Watch or listen to the full episode to find out how Nathan does when he sits next to an actual grandma on a plane.
In Episode 8, Nathan and Tony break down two topics. First, Nathan is put to the test when he sits next to an actual Grandma on a plan and she asks him what he does for a living.
Then, the two discuss whether we're letting AI off the hook for bad acts, and whether humans are being left off the hoo…
In Episode 7: Prompting the Zodiac - Can AI Be Trusted With Astrology - So Grandma Can Understand It, Nathan and Tony explore whether your LLM is giving you accurate readings. Also, what is happening to Pluto and Aquarius when AI agents rogue? Are your stars aligned?
Nathan shares insights into his conversations about AI on his recent UK and Euro adventures, and Tony is prompted to question the correlation between astrology and AI hacking events and model release.
The duo sets up future episodes and leaves space to address AI in therapy.
In Episode 5, Nathan and Tony catch up after a few weeks and discuss how prompting has evolved in this short time. There's new drops in the model locker, Nathan traveled, and you need to get comfortable with change. So tune in, like and subscribe. And sharing is caring.
In episode 4, Nathan and Tony are at it again. Why do so many AI models exist in each of these LLMs, and why should I care? Don't worry, you're not the only one asking. Step into the 'Model Locker' and try some on. Did Nathan and Tony just compare AI models to the shoes in your closet. Yep, you hav…
Prompting an AI is basically bossing around a very literal six-year-old — and Tony proves it by playing one, one dirty dish at a time. Nathan asks him to "wash the dishes," and chaos (and grandma's heritage china) ensues.
Tony and Nathan break down why AI needs short, specific instructions with cl…
Governance sounds like a corporate buzzword — until you think of it as a healthy habit. Tony and Nathan use a burning toaster, a Waymo, and a knitting hallucination to explain how to use AI without setting the house on fire. If Grandma understood what they said, they did their job, but let's be hon…
Two friends bootstrapped a podcast to demystify AI for real people. In this pilot episode, Tony and Nathan walk through their first recording setup (Zencaster + Otter), compare LLMs with VHS-era analogies, share quirky origin stories (including owls and knitting), and show how everyday tools like y…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Nathan Tony, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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