Ep 843: AI Without the Jargon: The Language Every Business Leader Needs in 2026 (Start Here Series Vol 2)
episode
Everyday AI Podcast – An AI and ChatGPT Podcast
31 min
2 speakers
4 chapters
transcribed 1 month ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the AI‑jargon gap and why does it threaten companies?
Welcome to the Everyday AI podcast. My name is Jordan Wilson, and for the past three and a half years, we put out more than 800 episodes. Yet, one of the most common questions I get, I didn't really have an answer for. Where do I start on the Everyday AI podcast? And that's why we started the Start Here series. And with Fall now back in full swing, the Everyday AI podcast is Is going back to school and playing back the entire Start Here series from front to back. We've hit pause on our normal Monday to Friday programming to run back our most popular series ever for the next 30 days. We made the Start Here series for beginners and AI champions alike. So whether you're just trying to get a grasp on large language models or grappling with the best coding harness for multi-agentic.
Workflows, the Start Here series covers it all. Plain language, no jargon, and easy to follow along each day. So make sure to subscribe to the podcast and check back each day for new insights day by day. The series is a culmination of spending more than 10,000 hours covering generative AI over the past three and a half years. So you don't want to miss a single episode of the Start Here series. Let's get into it. One of the most challenging things about AI that no one talks about is not being able to talk about AI effectively. And I think that there's three main reasons for this. Number one, the tech changes faster than literally anyone can keep up with, even someone that talks about AI every day, like myself.
Two, companies don't train their employees. And three, it's kind of the summation of those parts. There's a huge gap between what people know about AI and what the models are capable of. And can actually accomplish. And so much of this can be solved by talking about it. But therein lies the problem. AI is a mystery wrapped up in ever-changing jargon. So we're kicking off volume two of our start here series, where we're gonna karate chop the AI jargon in the jugular and break down the basics of AI language in linkage. Go that every business leader needs to know in 2026. All right, I'm excited. Let's get into it. Welcome to our start here series and everyday AI. So, this brand new series is our essential beginner and advanced AI overviews to help you launch your year strong.
So, if one of your big goals is to double down or to just Better learn AI. This new Start Here series is for you. All right. So if you haven't already, please go to starthearseries.com. Yeah, new URL. Uh, so uh there you're gonna be forwarded straight to uh sign-up page to get free access to our inner circle community, and not only will you get uh instant access to To our Prime Prompt Polish Chat GPT prompt engineering course, but you will also get access to the Start Here series. So whether you're listening to this in mid-January or sometime in March, we're gonna be putting the recap of every single Start Here series episode inside the community there, uh inside the community there, so you can listen to them all in order.
All right. Uh, and if you are brand new, brand new, make sure you go listen to the first uh series of this, which was episode six ninety-one or volume one in the start here series, which was generative AI, how it works and why it matters in twenty twenty-six more than ever. All right. If you're new, everyday AI, it's a daily live stream podcast and free daily newsletter. But I've done like 700 episodes, and the most common question I get is where do I start? That's the whole reason that we're doing this series. So let's Cut the jargon down, shall we? Uh, we're gonna get straight into it. So don't worry, this isn't gonna be a a super boring run through of random vocabulary words. Uh one thing that I've realized that I kind of have a knack for uh over the years is almost being a a a translator, right?
And uh like literally there is there's an instance. Um I was working with a pretty big company, right? doing like $20 billion in in revenue. And I was sitting with their C-suite and I was sitting with their their head of AI.
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Chapters
4 chapters
1
What is the AI‑jargon gap and why does it threaten companies?
0:00–6:17
2
How can business leaders start talking about AI without getting lost in jargon?
6:17–8:14
3
What are tokens and context windows and why do they matter for LLM prompts?
8:14–21:06
4
How do the major LLM families (Claude, ChatGPT, Gemini) differ in capabilities and cost?
21:06–31:52
Speakers
2 identifiedMore from Everyday AI Podcast – An AI and ChatGPT Podcast
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