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
Google's Gemini 3.5 Pro just changed long docs forever
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Referenced Links:
Google Vertex AI — Official Platform
Google Gemini — Official Product Page
Google AI: Long Context with Gemini
Google Cloud Gemini Blog
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Welcome to AI Inten. 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. Google has been sitting on a context window so large it could read every email you've ever sent and still have room for your mortgage documents. I'm Chuck Getchell. This is AI Inten, what happened, why it matters, what you can do with it. Let's go. So let's talk about what a context window actually is. Because that phrase gets thrown around a lot and it sounds like something only a developer would care about. It's not. It affects you directly every single time you use an AI tool. Think of a context window like a whiteboard. When you're having a conversation with an AI, everything it can see and remember during that conversation fits on the whiteboard. When the whiteboard gets full, the AI starts erasing the oldest stuff to make room for new stuff, and suddenly it's forgotten what you told it 20 minutes ago. Sound familiar? That is the most common frustration people have with AI tools. You upload a document, you ask a question, you ask a follow-up, and by question five, the AI has basically amnesia about what you gave it at the start. It's like hiring a consultant who forgets the briefing by lunchtime. Google's Gemini 3.5 Pro is reportedly arriving with a 2 million token context window. That is the largest in any production frontier model right now. And to put that in human terms, 2 million tokens is roughly 1.5 million words. That's about 15 full novels, or one very thorough business contract. As of today, June 23rd, the model is still in limited enterprise preview through Google's Vertex AI platform. Analyst tracking puts the public general availability window between now and June 30th. So we're watching a launch window right now, not a completed launch, but the specs are confirmed and the buzz is very real. Here's why this is a big deal even before the full public rollout. The size of a context window changes what you can actually do with AI. Not just a little. Fundamentally. Right now, if you need to analyze a long contract, you chunk it up, you paste in section one, ask your questions, paste in section two, ask your questions again, remind the AI what it already told you. It's tedious. It's like reading a book, but being allowed to look at only three pages at a time. A two million token window essentially eliminates that problem for most real-world tasks. You upload the whole contract, the whole meeting transcript, the whole research paper, the entire email chain from the last six months. And the AI holds all of it simultaneously in one working session. That is a qualitatively different experience, not just faster, different. Now there's another piece to this story and it's worth paying attention to. Google is also launching something called Deep Think Mode. Deep Think is a reasoning mode. Basically, the AI slows down and thinks through problems more carefully before answering. It's the difference between an AI that just blurts out the first answer and one that actually works through the logic step by step. The catch? Deep think is gated behind the Gemini Ultra subscription tier. That's $250 a month. Now, before you close the app, that's not aimed at individual users right now. That's an enterprise price point. But here's the trend worth noticing: AI is starting to segment. Hard. You've got the free tier that's pretty good, the mid-tier that's better, and now a premium tier with capabilities that are noticeably more powerful. We're starting to see AI pricing work kind of like airline seats, you know, coach, business, first class, and now apparently a private jet option. So what does all of this actually mean for you if you're not a tech company? Let's make it real. If you're a small business owner, long context means you can finally hand an AI your entire business plan, your last 12 months of financials, your customer feedback folder, and your competitor research all at once and ask it to help you find where you're leaking money or missing opportunity. No more piecemeal sessions, no more re-uploading everything. If you're in a job that involves a lot of reading and summarizing, think legal, HR, project management, research, real estate. Long context is the tool that finally delivers on the promise of AI saving you hours. Not minutes, hours. If you're a parent or a student, imagine uploading a full semester's worth of class notes and asking an AI to quiz you, find gaps in your understanding, and build a study guide. All in one shot. No 50-page limit, no re-uploading for each chapter. And here's the multimodal piece that doesn't get enough attention. Gemini 3.5 Pro also handles images alongside text. So if you have a chart you don't understand, a form that confuses you, a screenshot of a spreadsheet, you can upload it and ask plain English questions. No technical skills required. That's genuinely useful for people who find data overwhelming, which is most people. I know plenty of brilliant hardworking people who freeze up the moment someone slides a bar chart across the table. This kind of tool doesn't judge you for that, it just explains it. Now here's the practical question. What should you actually do right now? One thing, just one. Find your longest document. The one that's been sitting there because it's too long and too dense to deal with. Maybe it's an insurance policy, a lease agreement, a business proposal someone sent you, a stack of medical records, a long report from work that you keep meaning to read but never do. Keep that document ready because when Gemini 3.5 Pro goes to general availability, and again we're looking at the next few days to a week based on current tracking, you can upload that thing and ask it to summarize the key points, flag anything unusual, and explain anything confusing in plain English. That single task, the one you've been avoiding, could be done in about five minutes. That's the promise of long context made practical. If you're not sure how to get started with any of this from scratch, my AI explained course walks through everything in about 30 bite-sized videos, zero tech background required. But even without a course, just knowing what to look for puts you ahead of most people. The bigger picture here is about where AI competition is heading. The companies are not just racing to make AI smarter in a generic sense anymore. They're racing on capacity, on how much you can throw at the model at once, on reasoning depth. Can it actually think through hard problems, not just pattern match? And on experience design, does it feel useful to a regular person, not just a developer? Google has the context window lead right now. If these specs hold. The next question is whether they can package it in a way that a non-technical person walks away feeling genuinely helped. Technical specs are one thing. A product that earns your trust every day is another. Those are not always the same thing. The companies that figure out both, that's where the real momentum will be. And that's the race worth watching over the next six months. So here's the takeaway from today. A two million token context window is not a nerdy benchmark. It's the end of the re-uploading dance. It's the end of the AI forgetting what you told it. It's one of those technical improvements that quietly makes the experience feel completely different, even if you never hear the word token again in your life. Keep an eye on the Gemini 3.5 Pro launch this week. Have your long document ready. And remember the people who take five minutes to try a new tool are the ones who end up with a skill that saves them five hours next month. That's today's AI Inten. 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.
