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Technology · Weekly

AI Decoded

AI explained for humans

Making artificial intelligence accessible to non-technical listeners — what it actually is, what it can and cannot do, and what it means for your life and work.

Episodes(5 available)

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Ep. 42··38 min

What Large Language Models Actually Are (No PhD Required)

The clearest non-technical explanation of how LLMs work: what they learn from, how they generate text, what they can and cannot know, and why they sometimes confidently say things that are completely wrong.

LLM explanationhow ChatGPT worksAI literacy
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Ep. 41··44 min

AI Agents: What They Are and Why Everyone's Suddenly Talking About Them

AI agents — systems that can browse the web, write and run code, book appointments, and take real-world actions — are the most significant development in AI deployment since ChatGPT. What they are, what they can do, and what can go wrong.

AI agentsagentic AIAI autonomy
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Ep. 40··35 min

GDPR and AI: What the Intersection Actually Means for You

As organisations use AI to process personal data at scale, GDPR creates obligations that many teams are unprepared for. The six most important GDPR considerations when building AI products — explained without legal jargon.

GDPRAI regulationdata protection
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Ep. 39··42 min

Bias in AI: What It Actually Is and Why It's Hard to Fix

AI bias is both over-simplified and under-understood in public debate. What it really means in technical terms, where it comes from, why fixing one type of bias often introduces another, and what responsible AI development looks like.

AI biasfairness in AIalgorithmic bias
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Ep. 38··31 min

Is Prompt Engineering a Real Career? A Realistic Assessment

The job title "prompt engineer" attracts both enthusiasm and scepticism. What it actually involves, what skills matter, what the market looks like in 2026, and whether specialising in it is a sound career decision.

prompt engineering careerAI jobsfuture of work

About This Show

AI Decoded cuts through the hype and the doom to explain what AI is actually doing today. No jargon, no PhD required. Each episode picks one concept — large language models, autonomous agents, bias in training data, AI regulation — and explains it from first principles, using analogies that stick. Aimed at curious professionals, policy people, and anyone who wants to understand the technology reshaping every industry.

Host

S

Sofia Chen

Sofia is a science communicator and former AI researcher who spent five years at DeepMind before moving into media. She specialises in making complex systems understandable.

Show Details

Episodes
42
Frequency
Weekly
Category
Technology
Language
English
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