AI in 10
The most important AI story—explained in 10 minutes.
Every day, I break down the biggest AI story in just 10 minutes - what it is, why it matters, and how you can actually use it. No tech jargon, just AI made simple.
AI in 10
OpenAI just launched the AI coworker era
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Referenced Links:
OpenAI GPT-5.6 Official Product Page
Artificial Analysis Intelligence Index
AI for Good Global Summit 2026
ChatGPT — Try GPT-5.6 Models
#OpenAI #GPT5 #AI #ArtificialIntelligence #AIAgents #FutureOfWork
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Welcome to AI in 10. I'm Chuck Getchell, and every day I break down the biggest AI story in just 10 minutes. What it is, why it matters, and how you can actually use it. The AI model you use for work just got a serious upgrade, and most people don't even know what changed. I'm Chuck Getchell. This is AI in 10. What happened? Why it matters, what you can do with it. Let's go. So earlier this week, OpenAI released something called GPT 5.6, and with it a new flagship model named Saul. If those names mean nothing to you right now, that's fine. By the end of this episode, they will. Because this isn't just a software update, this is a shift in what AI is actually for. Here's the simplest way to put it. Every AI model up to now has basically been a very smart answering machine. You ask it something, it answers. Maybe it writes you a draft or summarizes a document, but it always waited for you to give it the next instruction. That's the old model. Literally and figuratively, GPT 5.6 is built around a different idea. The idea that AI shouldn't just answer your questions, it should be able to work on your behalf for extended periods across multiple tools, without you hand holding every single step. OpenAI released three models in this family. Think of them as good, better, and best. Luna is the affordable everyday version, Terra is the middle tier, balance between power and cost, and Sol is the flagship, the top of the line, the one built for serious, sustained, complex work. Sol is what OpenAI is most excited about, and honestly, the benchmarks they're posting are worth paying attention to. On something called the Agent's Last Exam, which tests how well an AI can handle long professional workflows across 55 different fields, Saul scored 53.6. The closest competitor scored more than 13 points lower. That's not a small gap. That's like winning a race by a full lap. There's also a test called OS World 2.0. It measures how well an AI can actually control a computer, moving through software, managing files, clicking around, the way a human would. Saul scored 62.6% on that, and it did it using 85% fewer words than a competing model, which in AI terms means it was faster, cheaper, and cleaner about it. Now let's talk about what this actually means for a real person, because benchmarks are fun for about 30 seconds before your eyes glaze over. What OpenAI is building toward, and what Saw represents, is an AI that functions like a capable junior colleague, not a search engine, not a spell checker, a collaborator, one that can take a multi-step project, figure out how to execute it, browse the web for relevant information, use tools along the way, write code if needed, and come back to you with something finished. Let me give you a concrete example. Say you're a marketing manager at a small company, you need a competitive analysis with the old way, you'd spend hours Googling competitors, reading their websites, taking notes, organizing everything into a dock, and then drafting your summary. With something like Saul, you describe what you want and the AI browses, reads, synthesizes, and assembles the whole thing while you go do something else. That's not science fiction. That's what this model is built to do right now. Or say you run a small business, you've got emails piling up, invoices to track, social media posts to write. Luna, the more affordable model in this family, can handle a lot of that routine load. Not perfectly, not without oversight, but well enough to buy you back hours every week. And for students or people doing research on their own, Terra sits right in the middle. It can help you read complex material, organize your notes, pull sources together, and build out structured outlines or drafts. Think of it like having a really well-read study buddy who never gets tired and never complains about the hour. Here's where I want to slow down and be honest with you because this is important. More powerful AI isn't just a productivity upgrade, it's also a signal. A signal about what the workplace is going to start expecting from people. When a model like Saul can manage complex, multi-step professional workflows, the kind that used to require a full-time analyst or a junior associate, companies start doing math, and that math isn't always comfortable. This isn't a reason to panic, but it is a reason to pay attention. The people who are going to thrive in this environment are the ones who learn to work with these tools, not the ones who pretend the tools aren't there. Think of it like the spreadsheet. When Excel showed up, the people who learned it didn't get replaced, the people who refused to learn it did. Learning to supervise AI, to give it clear direction, check its work, catch its mistakes, that is becoming a professional skill, a real one. One that belongs on a resume right next to communication and project management. The AI coworker era is not coming. It's here. As of earlier this week, it got a lot more capable. So, what can you actually do with this today? Here's the one thing I want you to walk away with. Stop using AI like a search engine. That's the shift. Most people type a question, get an answer, and close the tab. That's leaving most of the value on the table. It's like buying a food processor and only using it to stir coffee. Instead, try giving AI a project, not a question, a project. Pick one thing in your work or personal life that has multiple steps and usually takes you a few hours. Could be a report you write weekly, could be planning a trip, could be researching options for a big purchase or career decision, whatever it is, hand it to the AI and say, here's what I need, here's what I know, here are the constraints, go. You'll probably need to correct it a few times. That's fine. That's part of learning how to supervise an AI agent rather than just using a chatbot. But the more you practice that skill, the faster you get at it. And right now, most people haven't started. If you're brand new to all of this and you want a structured way to get comfortable, my AI Explained course is 30 short videos that walk you through the whole landscape, no tech background required. It's built for people who want to understand what's actually happening without having to decode someone else's jargon. Worth your time. Now, um, one more thing before we wrap up. OpenAI is really good at marketing their benchmarks, and some of the numbers they post are impressive. But they're also the ones choosing which tests to highlight. So take the specific scores with a healthy grain of salt. The broader story that these models are getting faster, cheaper, and dramatically better at sustained multi-step tasks, that part is real and it's backed up by independent observers too. Sol, Terra, and Luna are available now through OpenAI's API and existing interfaces. If you're already a ChatGPT subscriber, keep an eye on which models are available in your tier. The landscape is shifting fast enough that what you have access to today may look very different three months from now. The bottom line from this week is this AI just got meaningfully better at doing sustained real-world work, not just answering questions. The people who start practicing now will have a real advantage over the people who wait until it feels urgent. And by the time it feels urgent, the gap will already be wide. Learn to give AI a project, check its work, iterate. That skill is worth more right now than almost anything else you could spend an hour learning. That's today's AI Intent. If you want to go deeper and learn AI with a community of people just like you, join us at aihammock.com. I'll see you tomorrow, my friends.
