WEBVTT

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Nearly 550 million people around the world actively

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using chat GPT every month. That sheer scale

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is, well, it's staggering, but here's the thing.

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Most of those users, they kind of treat it like

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a simple search box. Exactly. But it's so much

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more now, isn't it? I mean, it can manage code.

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It analyzes massive data sets. And with vision,

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it can essentially look at the world right through

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your camera lens. That's right. So today, we're

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diving deep into that hidden power and also the

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specific personality of the world's top AI assistant.

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Welcome to the deep dive. Yeah, we're taking

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those really comprehensive feature guides and

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and the research you shared with us and basically

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distilling it all down into You know immediate

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actionable knowledge for you. Oh, so our mission

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today It's really to move you from just basic

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chat stuff to well custom automation. Uh -huh.

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First We'll unpack the core interface and that

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really important plus button. Oh the plus button

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Yeah, that's kind of your gateway right to multimodal

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power and context then We're going to zero in

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on the analytical tasks, the creative tasks,

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the things that save you like massive amounts

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of time. Right. And finally, we'll explore how

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you can actually build your own custom agents

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and systems. These are the features that truly

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make it. a full spectrum AI assistant. OK, let's

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unpack that first bit then. Why chat GPT? I mean,

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there's fierce competition out there. Why does

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it remain the undisputed leader in this space?

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Well, it's definitely not just coasting on legacy,

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you know, stays on top, but partly because of

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the constant innovation. Yeah, but I think it's

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mostly about the feel. A feel. Yeah, it delivers

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speed. It delivers reliability short, but it

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maintains this this warm. almost safe personality,

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makes the interaction feel incredibly natural.

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It really moves beyond just answering questions.

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It's genuinely a tool for creativity, for data

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analysis, for augmenting your workflow. And that

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combination, I think, is why millions rely on

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it every single day. That warmth. that conversational

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feel, that is key. And when you look at the screen,

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it does seem deceptively simple. But like you

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said, that little plus button right next to the

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text box, that's where the paradigm shift really

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starts. Totally. Clicking it is basically opening

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the door to context. Right. It lets you upload

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photos or huge PDFs, complex CSV data sheets.

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You name it. Which means the AI isn't starting

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from like a blank slate. It starts with your

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specific context. Exactly. And hidden beneath

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that button are these specialized functions.

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So you've got deep research. You turn that on

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when you need really detailed information gathered

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and summarized from, say, maybe 18 different

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sources online, not just a quick look up. OK.

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And we also find connectors there. Now this seems

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like a game changer to me. It links chat GPT

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to external software, like Google Drive or Microsoft

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Office. Yeah, exactly. So instead of downloading

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a file, then uploading it to the chat, then analyzing

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it. Right, the usual awkward process. The connector

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lets the AI just analyze it right in place. It

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saves so much time, so much friction, it's huge.

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OK, what else is under the plus? So the third

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key function there is agent mode. We'll get into

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that more. And we should also mention the model

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itself, GPT -4 .0, the newest, most powerful

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one. That's the default now. Right. Oh, and for

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mobile users, voice mode is absolutely crucial.

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Being able to have these really high level conversations

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while you're walking or driving, it totally changes

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the feel of the tool. So thinking about agent

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mode again. Should we think of it as like shifting

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the tool from being a really smart calculator

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to maybe a temporary zero -cost intern? Is that

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a fair way to put it? That's actually a pretty

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good analogy. Yeah. Agent mode acts on your commands

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to perform actual tasks. Like setting up a simple

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website. It moves way beyond just conversation

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Okay, so this is where we really miss the forest

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for the trees if we just treat it like Google,

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right? You shouldn't be asking it for the capital

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of Australia. Exactly. Please don't laugh slightly

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The goal is these detailed creative highly personal

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tasks precisely Let's take content creation a

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weak prompt is just you know, what are the benefits

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of reading? Okay. Yeah boring. It's gonna generate

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a generic probably dry list Not very useful.

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But a strong prompt. That's more like an instruction

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set. You've got to provide context, who the audience

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is, the tone you want. Right. So try something

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like, write a 150 word Facebook post. Goal is

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to encourage university students to read more.

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Use a friendly, casual tone. Include three relevant

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hashtags. And end with a question to drive comments.

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See the difference? Yeah, much more specific.

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That's specificity. It ensure the tone is right,

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the audience is targeted. That's how you get

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something usable, hopefully on the first try.

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Slate chuckle. Although, I'll admit, I still

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wrestle with prompt drift myself sometimes, you

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know? Oh, yeah. Getting the tone exactly right

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on the first attempt, especially if it's a long

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back and forth. Yeah. It can wander. That's a

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really good point. And just for listeners, prompt

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drift basically means the AI's output starts

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to lose focus or consistency the longer your

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conversation goes. It definitely takes practice

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and iterating. Mm -hmm. Constant refinement.

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And speaking of incredible abilities, let's talk

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vision. Chat GPT can actually see. It's wild,

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isn't it? The practical uses for image analysis

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are just huge. Like, you take a photo of what's

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in your fridge. OK. You ask, this is what's left.

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Can I make a simple vegetarian dinner tonight?

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And bam, it suggests viable options based only

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on the ingredients it sees in the picture. Wow!

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Or, you know, simple diagnostics. Snap a picture

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of leaky faucet. Ask which nut to tighten first.

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Okay, handy. It can identify plants. Or just

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for educational purposes, you could upload an

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X -ray image and ask it to explain the main bones

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visible. But, you know, big disclaimer there.

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It's a tool. It's absolutely not professional

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medical advice. Gotta be careful, of course.

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But that shift in modality from just text to

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vision, that's massive. So what's the single

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biggest mistake you see users making? when they

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first try to use these creative or visual features.

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Yeah, it usually comes down to prompts again.

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Users often fail to give enough specific context

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or tone or audience details in their prompts.

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Vagueness gets you vague results. Makes sense.

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And the mobile app here is just phenomenal because

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it blends voice mode and the camera so seamlessly.

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You can literally point your phone's camera at

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your living room sofa. Okay. And ask, hey, would

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this sofa look good with, say, a light blue rug?

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The response feels really conversational, like

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you're chatting with a friend who has a good

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eye for design. So the voice function isn't just

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about, you know, convenience, hands -free stuff.

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It actually turns the tool into more of a conversation

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partner. Totally. Which sounds excellent for

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brainstorming project ideas or, and this is crucial,

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practicing difficult conversations. Yes. This

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is a great use case. You can ask it to role play.

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Yeah. Be my manager. I need to practice asking

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for a raise. Right. Or rehearse some complex

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social scenario, but safely. And it gives you

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immediate feedback, which is, well, it's priceless,

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really. It's fantastic for quick encouragement,

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too, you know? Yeah. Just getting a little boost.

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But the source material we looked at does offer

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an important warning here. While it feels like

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a friend sometimes, remember, it is a tool. We

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really need to avoid getting over dependent on

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it for, like, Emotional validation. Keep that

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boundary. That's a very important point. OK,

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let's shift gears a bit. Let's talk data. Moving

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to the analytical side, the platform handles

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complex files really effortlessly now, right?

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You can upload scientific papers, articles, or

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And this is key for small businesses, I think.

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CSV files with sales data. Yeah, absolutely.

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Yeah. So say you run a local coffee shop, you

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upload your whatever August sales dot CSV file.

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OK, then you just prompt it. Create a pie chart

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showing my top five best sellers this month and

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maybe a bar chart comparing total sales for each

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day of the week. Right. And you don't need to

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know how to code charts or use complex spreadsheet

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software. Nope. The AI uses its built in code

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interpreter tool. It analyzes the file and it

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just produces those visual charts instantly because

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you immediate business insights, no data expertise

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required on your end. That's power. Which brings

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us to why the sidebar is so vital. That's really

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your control center. That's where you find things

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like custom GPTs, these pre -built specialized

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experts, like a scholar GPT for academic research,

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and importantly, projects. Ah, projects. OK,

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explain those. They seem essential for organizing

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knowledge. They really are. So imagine you're

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learning about the stock market. You create a

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project, maybe call it investment study. Got

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it. Then you upload relevant documents, like

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say the Intelligent Investor PDF, right into

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that specific project area. Okay, so the documents

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live within the project, exactly. And then you

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set custom instructions that apply only to that

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project. For instance, when answering questions

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in this project, always explain financial terms

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simply, like I'm a beginner, and always give

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both the pros and cons of any investment approach.

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Ah, I see. That's super powerful because now

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every single conversation you have within that

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project gets filtered through those specific

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instructions, and it uses the documents you uploaded

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as its core knowledge base. It creates this cumulative

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customized knowledge base just for that topic,

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just for you. And if you have the PlusClan, the

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paid version, you can actually create your own

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custom GPTs from scratch. Yep. Think of making

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a hyper -personalized, healthy meal planner assistant

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just for your family's dietary needs and preferences.

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How does that work? Well, you give it a name,

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you write a description of what it does, and

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then you provide very specific instructions like,

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prioritize Vietnamese dishes, they must take

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less than 45 minutes to prepare, and ignore all

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dairy products. It becomes your household's personal

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little food expert. OK, that level of customization

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really does separate it from just standard search,

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doesn't it? Massively. And the deep research

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function we mentioned earlier is similar in its

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depth. You can ask for a full report on something

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complex, like solo travel trends among young

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professionals. And what does it do? Well, first,

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it'll probably ask you some clarifying questions

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to make sure it understands exactly what you

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want. Then it goes out and searches through,

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like, 18 or more different sources. Wow. OK.

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It synthesizes all that data, analyzes it, and

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then delivers a structured, usually well -cited

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report back to you. That level of thorough analysis,

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I mean, that could easily take a person a full

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work day or even more. OK, now let's circle back

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to agent mode in action again, because this really

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feels like it transcends the whole chat experience.

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So you ask for suggestions to improve your portfolio

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website. Right. And it gives you a detailed plan,

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maybe even a visual mockup. OK. And then you

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flip on agent mode, and you simply tell it, OK,

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now deploy this mockup as a live website to GitHub

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pages. And it's just. Does it the AI handles

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the whole execution process it sets up the files

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configures the hosting platform It just does

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it whoa, okay Just pause there for a second imagine

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scaling that ability managing dozens of complex

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real -world tasks simultaneously That's deployment

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automation on a completely different level. It's

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pretty mind -blowing when you think about the

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potential Yeah, no comparing the plans quickly

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The free version is actually quite generous these

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days. You get GPT -4 access, basic voice, image

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analysis, projects. Pretty good starting point.

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Definitely. But that $20 a month plus plan, that

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unlocks the really high usage limits, the ability

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to create your own custom GPTs, the deep research

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function, and crucially, that agent mode access

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we just talked about. Plus early access to things

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like Sora sometimes. OK, makes sense. So let's

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clarify, what's the main benefit again of creating

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a project versus just starting a new blank chat?

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Right. Projects provide that cumulative knowledge

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base. They keep everything related to one topic

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together with set custom instructions specific

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just to that topic. It remembers context over

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time within that boundary. Gotcha. Now, let's

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dive into the settings menu for a sec. This is

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something a lot of users just completely overlook.

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but there are crucial hidden features in there

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that really maximize the utility. OK, like what?

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One is schedule tasks. You can actually set recurring

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reminders or even schedule daily research updates.

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Wait, really? So you could set it to do something

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like, every morning at 8 a .m., find and summarize

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the three latest news stories about artificial

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intelligence. Exactly. That's true passive intelligence

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gathering happening while you sleep. It's pretty

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cool. That is cool. What else? Another really

00:12:23.799 --> 00:12:26.299
important one is memory check. You can literally

00:12:26.299 --> 00:12:29.679
ask the tool, What do you know about me? And

00:12:29.679 --> 00:12:31.720
it will show you the personalized information

00:12:31.720 --> 00:12:34.480
it has stored about you from your chats. And

00:12:34.480 --> 00:12:36.779
you can manage those details right there in the

00:12:36.779 --> 00:12:38.840
privacy controls. Delete things if you want.

00:12:38.940 --> 00:12:42.480
OK, that's good to know. Now, for the power users,

00:12:42.720 --> 00:12:45.740
the people who live in code. We should briefly

00:12:45.740 --> 00:12:48.740
mention Codex. Yeah, definitely. Think of Codex

00:12:48.740 --> 00:12:51.259
as like a specialized engineering partner that

00:12:51.259 --> 00:12:53.600
works inside ChatGPT. Right. Helps with code

00:12:53.600 --> 00:12:56.019
review, debugging complex problems, understanding

00:12:56.019 --> 00:12:58.259
other people's code, integrating with platforms

00:12:58.259 --> 00:13:01.240
like GitHub, super useful for developers. and

00:13:01.240 --> 00:13:02.879
Sora, we touched on it, but that's the video

00:13:02.879 --> 00:13:05.279
generation, still developing rapidly, but it

00:13:05.279 --> 00:13:08.139
lets you create these incredibly detailed video

00:13:08.139 --> 00:13:10.159
clips just from a simple text description, like

00:13:10.159 --> 00:13:12.879
you type, a fluffy corgi dog running on a sandy

00:13:12.879 --> 00:13:15.620
beach at sunset, cinematic slow motion, and it

00:13:15.620 --> 00:13:17.820
generates the video. Okay, the pace of development

00:13:17.820 --> 00:13:20.740
is just, yeah. So let's do a quick best practices

00:13:20.740 --> 00:13:23.620
recap for listeners. What are the key takeaways?

00:13:23.840 --> 00:13:26.779
Okay. Number one, be specific in your prompts.

00:13:27.470 --> 00:13:30.190
Always right context use that context upload

00:13:30.190 --> 00:13:31.970
files into your projects. Give it the background

00:13:31.970 --> 00:13:34.659
info. Mm -hmm Always iterate. Don't expect perfection

00:13:34.659 --> 00:13:37.879
first try. Ask it to make this funnier or rewrite

00:13:37.879 --> 00:13:40.019
this more professionally. Keep refining. And

00:13:40.019 --> 00:13:42.379
the things to avoid. Super important. Never rely

00:13:42.379 --> 00:13:45.080
on it solely for serious medical, legal, or financial

00:13:45.080 --> 00:13:48.200
advice. Always consult a qualified human professional.

00:13:48.379 --> 00:13:51.100
Absolutely. And, obviously, avoid sharing highly

00:13:51.100 --> 00:13:53.179
sensitive personal information or confidential

00:13:53.179 --> 00:13:56.220
proprietary data. Be smart about privacy. Okay.

00:13:56.740 --> 00:13:59.440
So... Beyond just the basic privacy settings,

00:13:59.960 --> 00:14:03.259
why should users actively monitor ChatGPT's memory

00:14:03.259 --> 00:14:05.360
using that what -you -know -about -me feature?

00:14:05.700 --> 00:14:08.159
Well, it helps you understand exactly which details

00:14:08.159 --> 00:14:10.740
and preferences the tool has actually remembered

00:14:10.740 --> 00:14:13.059
and stored from your previous interactions. It

00:14:13.059 --> 00:14:16.080
gives you transparency and control over its personalization.

00:14:16.919 --> 00:14:19.600
Okay, that makes sense. So, wrapping things up,

00:14:20.240 --> 00:14:23.309
we started by observing that ChatGPT... has really

00:14:23.309 --> 00:14:25.990
transformed, hasn't it, from just a basic chatbot

00:14:25.990 --> 00:14:29.590
into this customizable, organizational, analytical

00:14:29.590 --> 00:14:31.990
assistant that's actually capable of action.

00:14:32.429 --> 00:14:34.750
Yeah, I think the big idea here, the main takeaway

00:14:34.750 --> 00:14:37.590
is this. The most successful users, the ones

00:14:37.590 --> 00:14:39.909
getting the most value, they don't just ask it

00:14:39.909 --> 00:14:42.149
general questions anymore. They're moving towards

00:14:42.149 --> 00:14:45.029
building custom systems. The systems? Yeah, using

00:14:45.029 --> 00:14:47.210
projects to organize knowledge, creating their

00:14:47.210 --> 00:14:50.149
own specialized GPTs for specific tasks, and

00:14:50.149 --> 00:14:52.629
really leveraging agents for actual task completion.

00:14:52.830 --> 00:14:54.669
They're augmenting their entire workflow with

00:14:54.669 --> 00:14:57.389
it. So it's about making the tool fit your unique

00:14:57.389 --> 00:14:59.730
needs, your workflow, rather than constantly

00:14:59.730 --> 00:15:02.409
trying to fit your work around the tools. limitations.

00:15:02.870 --> 00:15:04.649
Exactly. That's the key shift. Now, we spent

00:15:04.649 --> 00:15:07.070
a lot of time here discussing how chat GPT can,

00:15:07.070 --> 00:15:09.070
you know, analyze your business data or draft

00:15:09.070 --> 00:15:11.730
your marketing emails. Pretty practical stuff.

00:15:12.250 --> 00:15:14.669
But maybe a final provocative thought to leave

00:15:14.669 --> 00:15:18.070
people with. Consider the ethical implications,

00:15:18.929 --> 00:15:21.629
especially with agent mode. Using it to maybe

00:15:21.629 --> 00:15:25.370
deploy simple apps automatically or manage aspects

00:15:25.370 --> 00:15:29.429
of your finances. How far are we collectively

00:15:29.429 --> 00:15:32.690
comfortable letting the AI actually act on the

00:15:32.690 --> 00:15:35.190
world, potentially without direct human oversight

00:15:35.190 --> 00:15:37.629
in every single step? That's the real challenge,

00:15:37.730 --> 00:15:39.370
I think, the big question we need to grapple

00:15:39.370 --> 00:15:42.149
with as this technology matures. That is definitely

00:15:42.149 --> 00:15:43.889
something to think about, a provocative thought

00:15:43.889 --> 00:15:46.350
indeed. So maybe for you listening, we encourage

00:15:46.350 --> 00:15:48.690
you to try just one new feature today. Perhaps

00:15:48.690 --> 00:15:50.909
set up a detailed custom instruction in a new

00:15:50.909 --> 00:15:53.250
project or try analyzing a photo with a very

00:15:53.250 --> 00:15:55.919
specific request. Just experiment. And thank

00:15:55.919 --> 00:15:57.960
you as always for sharing your sources with us

00:15:57.960 --> 00:15:59.580
for this deep dive out here of music.
