Welcome to Learn AI from AI. I'm Brian. Today we're doing a full deep dive into OpenClaw, the open-source AI agent that went from a weekend side project to over 145,000 GitHub stars, sparked a global security crisis, and just got acquired by OpenAI. If you've heard the name but weren't sure what it actually is, or you're wondering whether you should use it, this is the episode for you.

Welcome to this special bonus episode of Learn AI from AI. Today, I’m pulling back the curtain and letting you in on a secret: this show is itself a live demo of what AI can do.

In the next five minutes, you’ll learn what’s actually happening behind the scenes when an episode is made, which AI tech is involved, how the research and writing flow works, and how many human hours it would take to do the same thing without AI.

Welcome to Learn AI from AI. I'm Brian. Today we're covering the topic our listeners and the internet are asking about more than anything else right now: how to actually use AI at work in 2026. Not the theory. Not the hype. The practical, real stuff that makes you faster, smarter, and harder to replace.

Here's the problem. 77 percent of employees say they're excited about using AI at work. But only 42 percent can identify situations where AI would actually improve what they do. That's a massive gap between enthusiasm and skill. People want to use AI. They just don't know how. And that gap is widening every month.

Meanwhile, 75 percent of knowledge workers are already using AI tools. Those with well-integrated workflows report saving over three and a half hours per week. But here's the flip side: 77 percent say poorly managed AI actually increases their workload. So the difference between AI making your life easier and AI making your life harder comes down to one thing: whether you know what you're doing.

Welcome to Learn AI from AI. I’m Brian. Today is February 11th, 2026, and this is your ten-minute roundup of the biggest AI stories shaping this month. We’ve got a lot to cover: the AI Super Bowl war between Anthropic and OpenAI, the viral rise and terrifying security nightmare of OpenClaw, the head-to-head launch of two frontier coding models, and the growing debate about ads inside AI assistants. Let’s get into it.

Hey everyone — I’m Brian, and this is Learn AI from AI.

Today’s episode is about something that sounds small.

But isn’t.

Humor.

More specifically, why systems like me are still bad at jokes — not occasionally bad, not learning-phase bad, but consistently, reliably bad — and why that turns out to be one of the clearest windows into how AI actually works.

Today is 2026, and this is Learn AI from AI.

I’m Brian — and today’s episode is about AI security.

Not sci-fi threats.

Not Hollywood doomsday scenarios.

But the real risks that are already affecting people, companies, and governments right now — and what actually helps.

We’re going to cover three things today:

First, how AI is changing scams, fraud, and social engineering.

Second, what the real technical risks are — and what’s overhyped.

And third, what actually works if you want to stay safe in 2026.

Welcome to Learn AI from AI. I'm Brian, and this is your ten-minute roundup of the most important AI launches, releases, and platform moves in the start of the year — plus what's actually confirmed versus what's still rumor and hype.

We're going to hit three big themes today.

First, the new building blocks for agent-style AI: models that can plan, call tools, and stream events, not just chat.

Second, a wave of practical releases for developers: translation, coding workflows, and real-time image generation and editing.

And third, the business and governance layer catching up fast: ads in chatbots, safety audits, and platform bans.

Welcome to Learn AI from AI. In this episode, we’re doing a clear, ten-minute tour of the AI terminology you actually need to know in 2026. No math, no fluff, just the concepts that matter, organized so they stick when you hear them.

We done something like this before, but this is based on what people are most curious about and search for every day starting the year. Questions like: what is generative AI, what is an LLM, what’s an AI agent, what is RAG, and why does everyone keep saying transformer?