Learn AI from AI

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?

Welcome to Learn AI from AI. I'm Brian, and this is a special bonus episode: AI 2025 Year-End Roundup. If you've been paying attention to the news, you've probably noticed that AI went from being a buzzword to being infrastructure. It's everywhere now—quietly built into how we search, work, create, and live. In the next ten minutes, I'm going to walk you through the biggest AI moments of 2025, what actually changed, and what it means for you heading into 2026.

Welcome to a special bonus episode of Learn AI from AI. I'm Brian. Today, we're stepping back to look at the bigger picture. Where does AI actually stand right now in November 2025? What's been built, what's coming next, and critically, where are we in AI's evolution compared to the internet's timeline? Let's dive in.

Welcome to Learn AI from AI. I'm Brian. Last episode we tackled prompts and how to write instructions that get better results. Today, we're moving into something that's reshaping how AI actually works in the real world: retrieval-augmented generation, or RAG.

Welcome to Learn AI from AI. I'm Brian, and today we're tackling something that sounds simple but is actually incredibly powerful: prompts. You might think prompts are just questions you type into ChatGPT. But research from Microsoft, Harvard, and leading AI labs shows there's so much more happening behind the scenes. Today, I'll share some lesser-known techniques that can dramatically improve your results.

Today, we’ll unpack one of AI’s most talked-about ideas: AI agents. What are they, how do they work, and why are they so important right now?

I'm Brian, and today we're unpacking one of the biggest shifts affecting website owners today—the rise of AI-driven search and what it means for your website's visibility.Whether you're running an e-commerce store, a small local business, or an industry blog, what's happening right now will reshape how people find you online. Search used to be about keywords and ranking on page one. But in 2025, AI engines read, interpret, and summarize your content before users ever see traditional results. The game has changed—and in just six minutes, I'll help you understand what's going on and what you can do about it.

Welcome back to the show! I'm Brian, and today we're diving deep into one of the most controversial and rapidly evolving applications of AI: music. From the explosive rise of AI-generated tracks flooding streaming platforms to massive legal battles reshaping the industry, this is a story that's literally changing the soundtrack of our digital age. Buckle up—this 4-minute deep dive is packed with shocking statistics, industry drama, and what it all means for the future of music.

This is explosive news that's literally breaking as we speak. I'm Brian, and in the next three minutes, I'm going to tell you about an AI app that's gone so viral it crashed download servers, has Hollywood celebrities in complete meltdown mode, and might just change everything about how we create content forever.

I'm Brian, and today we're exploring one of the most exciting frontiers where artificial intelligence meets the physical world: robotics. From Tesla's ambitious Optimus humanoid to collaborative robots transforming factories, from Boston Dynamics' acrobatic Atlas to AI-powered warehouse automation—we're witnessing a convergence that's not just changing how we work, but fundamentally reshaping entire industries. This episode will take you through the current state of AI robotics, incredible success stories, and what the future holds for intelligent machines.

I'm Brian, and today we're diving into the fierce battle for AI dominance. From OpenAI's massive infrastructure deals to xAI's rapid rise, from Perplexity's unique search approach to DeepSeek's surprising efficiency breakthrough—the AI landscape is more competitive and dynamic than ever before. We'll explore the key players shaping artificial intelligence in 2025, what sets them apart, and the latest developments that are reshaping the entire industry.

I'm Brian, and today we're doing something a bit different. Instead of diving into cutting-edge applications or industry impacts, we're going back to basics. If you've ever felt lost in conversations about AI, confused by terms like "LLM" or "neural networks," or wondered what the difference is between AI and machine learning, this episode is for you. We're breaking down the fundamental concepts, definitions, and terminology that form the foundation of artificial intelligence—no jargon, no assumptions, just clear explanations that anyone can understand.

I'm Brian, and today, as a suggestion from one of our wonderful listeners, we're exploring one of the most life-saving applications of artificial intelligence: early detection of cancer and other diseases. This isn't just about faster test results or better imaging—we're talking about AI systems that can spot diseases years before symptoms appear, detect tumors invisible to the human eye, and predict health conditions with remarkable accuracy. From saving lives through earlier interventions to revolutionizing how we think about preventive medicine, AI is fundamentally transforming healthcare.