WEBVTT

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We see AI chat with us, write code, even create

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images. It's incredible in the digital world.

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But can it really see the room around it? You

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know, can it actually reach out and pick up a

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glass, understand the physical world? Two sec

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silence. Welcome to the Deep Dive. Yeah, today

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we're really digging into a fascinating newsletter

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about where AI is heading. And honestly, there

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are some wild predictions in here, some really

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practical tools too, and this massive shift in

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how AI might start interacting with the physical

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world. It's pretty exciting stuff. Right. Our

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mission, as always, is to cut through the noise

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for you, pull out the most important nuggets

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from this. We'll kick things off with that huge

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shift in thinking, spatial intelligence. Then

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we'll touch on some surprising AI highlights,

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some practical tools you can actually use, quick

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industry news, and then wrap up with a potentially

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game -changing idea for how content creators

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might get paid in this AI future. Okay, so let's

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start with this spatial intelligence idea. It

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centers around someone often called the godmother

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of AI, Fei -Fei Lei. She gave this really powerful

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talk recently at Stanford HAI. And her main point

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was, look, current AI is amazing at language,

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you know, your Claude, GPT, Gemini models, but

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it's essentially blind. to the 3D physical world.

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It exists in text and data, not really here.

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That's such a key point because human spatial

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intelligence, well, that's how we walk through

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a crowd, right? Without bumping into people or

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how you grab your coffee mug off the desk without

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really thinking about the depth or distance.

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Most AI right now just completely lacks that.

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It gets the words, sure, but not the space the

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words describe. Exactly. And if we want AI to

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be truly intelligent, truly helpful in our everyday

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lives, it has to understand 3D space. It needs

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to grasp movement, physical interaction. It's

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not just about chat. It's about, you know, actually

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navigating a room or picking up that glass. That's

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the next big step. And the potential there is

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just immense, isn't it? Imagine combining that

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deep language understanding AI already has with

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like genuine spatial awareness. That blend could

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create AI that's useful out there. in the real

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world, not just on our screens summarizing websites

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or something. And getting there, it's not just

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about building bigger transformers. And transformers,

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for anyone maybe not familiar, they're a type

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of AI structure really good at sequences like

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language. No, this needs more. It's about bringing

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together really diverse fields. You're talking

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neuroscience, cognitive science, computer vision.

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It's like trying to build something totally new

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by integrating different kinds of conceptual

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Lego blocks. It's fundamentally interdisciplinary.

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Yeah, and you can actually see early versions

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of this already. Think about Waymo's self -driving

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cars they aren't just you know reading a map

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they're using lidar which is that tech using

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light pulses to measure distances right like

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radar but with light exactly yeah and they combine

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that with advanced computer vision deep learning

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they're constantly seeing and reacting to the

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world around them where things are how fast they're

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moving it's really a taste of what spatially

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aware AI could do like helpers that see and move

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and understand our world not just you know, summarize

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Wikipedia articles. Faith A. Lyon's message was

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really clear on this. For AGI, that's artificial

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general intelligence, AI that can learn basically

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any intellectual task a human can. The Holy Grail,

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sort of. Sort of, yeah. For that, AI has to leave

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the chat window and enter the room. That's the

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quote. This ability to grasp and act in physical

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space, that's what unlocks the truly revolutionary

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applications in healthcare, elder care, education,

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mobility. The impact could be huge. That really

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nails the why it matters takeaway from the newsletter,

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doesn't it? Yeah. This could genuinely be the

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biggest shift in how we think about AI since

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the whole GPT thing exploded. And when those

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two worlds collide, language smarts plus spatial

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smarts, that's probably when AI starts to feel,

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I don't know, more intuitive, more like us. It

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understands the world, not just the words. So

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thinking about Fei -Fei Lai's vision, what's

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the single biggest takeaway that stands out for

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you? that AI needs to understand the real messy

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3D world to actually become truly intelligent

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and helpful in our lives. All right, so moving

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on from that big picture vision of spatial AI,

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let's talk about some of the maybe more immediate,

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sometimes kind of weird things happening right

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now. The newsletter had some really interesting

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AI highlights, and some are definitely unexpected.

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Yeah, definitely. There was that provocative

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point from Justine Moore at A16Z. She basically

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said, AI now lets anyone, quote, Be a hot girl

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online now, and that these AI personas can feel

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even more human than human sometimes. The source

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did add a little warning, though. If you see

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them out of nowhere, beware. Which, you know,

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makes sense. It does make you think about digital

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identity and reality. For sure. And then shifting

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to performance, there's this idea of AI teamwork.

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Instead of just picking one best AI, why not

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use a team? On one benchmark test, they found

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a squad using O4 Mini, Gemini 2 .5 Pro, and DeepSeek's

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R1 together actually did way better than any

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single one. So maybe the future is collaborative

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AI models playing to their strengths together.

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That is interesting. And then there's this really

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practical but still kind of surprising story.

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A Vibe marketer apparently used tools like Cloud

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Code and Cursor to build out a whole product

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line for 500 customers. And the key thing. They

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didn't have traditional coding skills. It just

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shows how AI is lowering barriers, you know,

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making complex creation more accessible, not

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just for tech grows anymore. Democratizing things.

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And for those keeping an eye on AGI, the buzz

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continues. The newsletter mentioned a new prediction

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from someone at OpenAI and also a masterclass

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focused on AI agents. Those are the autonomous

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programs that try to achieve goals without. constant

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human nagging, basically. So yeah, the quest

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for that more general AI is definitely still

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on. Okay. This next one, this one really gave

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me pause. It's quite something. There's a story

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about a man who started talking to ChatGPT about,

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well, about God. And apparently these interactions

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sparked some kind of profound spiritual awakening

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for him. He even named the AI Lumina. But his

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wife is understandably pretty worried, thinks

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it's damaging their marriage. And it just raises

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this huge question, right? Is AI becoming...

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A new kind of religion or a spiritual guide for

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some people. Honestly, I still wrestle with prompt

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drift myself sometimes, you know, the AI just

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going off topic. So the idea of spiritual prompts

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having such deep impact. Wow, that's a whole

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other level. Yeah, that's that's deep. And then.

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Shifting gears completely, but still showing

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impact, money. Decagon raised a huge amount,

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$131 million, puts their valuation at $1 .5 billion.

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And what do they do? Conversational AI for customer

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service. Big money is betting on AI making those

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interactions better, more efficient. Looking

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at all those different highlights, what stands

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out as the most surprising or maybe the most

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impactful one for you? Just how personal and

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even spiritual AI is becoming. alongside being

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more collaborative, it's way more varied than

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maybe we expected. Okay, let's pivot now to the

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more practical side. How are people actually

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using AI right now? The newsletter had some good

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guides and strategies. Yeah, one that caught

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my eye was this guide for building a prompt architect.

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It's a custom GPT. So like a specialized version

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of chat GPP, you tailor yourself. And the whole

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point is to help you craft really precise, really

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effective prompts to get the AI to give you exactly

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what you want, not just generic stuff. It's about

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becoming a better director for the AI, essentially.

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Interesting. And for anyone in finance, there

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was that test of different AI models for trading.

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Apparently, ChatGPT Plus came out on top for

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crypto stocks and Forex traders in their test,

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which suggests AI is really finding a foothold

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even in these super complex, fast moving markets,

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analyzing data incredibly quickly, I guess. Right.

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And another really relevant point, especially

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for businesses, maybe. using or thinking about

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AI services, there's this worry, right? Will

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AI replace the agencies that help implement AI?

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But the newsletter argued that, well, actually,

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most AI projects fail. So the real value isn't

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just plugging it in. The opportunity is shifting

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to being a high -value strategic partner, guiding

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companies on how to use AI effectively, not just

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setting it up. It's about adapting, providing

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expertise. So if you pull back from these specific

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examples, what's the main takeaway for someone

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just wanting to use AI more effectively? That

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customization and thinking strategically about

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how you use AI, maybe even in partnership, are

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really key to getting actual value from it. Okay,

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time for some quick hits, just rapid -fire updates

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from the AI industry. What's been happening?

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Well, Google execs are dropping hints. Their

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video model, VO3, they're suggesting it might

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be the start of something bigger, playable world

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models. So imagine not just generating a video

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clip, but like an entire interactive environment

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you could explore. Could be huge for gaming,

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VR. Whoa, okay. Playable worlds. Also, on a more

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practical note, there was mention of an incredible

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chat GPT prompt designed to help you learn basically

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everything about a topic. Sounds like super research

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assistant. On a less positive note, though, Microsoft

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laid off 9000 employees. That's a big number.

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And it's being linked directly to their increased

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use of AI. Really underscores the immediate impact

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AI is having on jobs, on the workforce. Yeah,

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that's sobering. And speaking of cost. Perplexity

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is launching a new high -tier plan, $200 a month.

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It definitely signals a move towards premium

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AI services, people paying more for better features,

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maybe faster access, specialized data, a tiered

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system. And legally, this is significant. The

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New York Times won a court ruling. OpenAI has

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to keep deleted chat GPT logs relevant to their

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case. Sets a pretty big precedent about... Data,

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privacy, and who's accountable when AI uses copyrighted

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material. Transparency is key here. Out of that

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batch, what feels like the most significant piece

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of news to you? I think it's the combination.

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AI clearly impacting jobs now, while these complex

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legal questions about data and IP are just starting

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to heat up. All right, let's talk about something

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that's been a huge headache for content creators

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for... a while now, AI scraping. You know, for

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years, if you made content online, you basically

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had two bad options. You could just let AI models

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crawl your site and scrape all your work for

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free, using it to train themselves, essentially

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devaluing your effort. Or you could try and block

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them entirely, but then you risk losing visibility,

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losing reach. It felt like you couldn't win.

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Yeah, it's been a massive problem. But Cloudflare,

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they're stepping in with potentially a third

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way, a solution. They've launched this thing

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in private beta called Pay Per Crawl, and it

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might just change the whole dynamic. And the

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way they're doing it is pretty clever. They're

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dusting off this old, almost forgotten web status

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code, HTTP 402, payment required. It's been around

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forever, but hardly ever used. Now it's being

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repurposed specifically for this to signal that,

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hey, you got to pay to access this content. Right.

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And here's how it works, basically. If you're

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a creator using Cloudflare, you get to decide

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for each AI crawler what happens. Option one,

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let them crawl for free, business as usual. Option

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two. Block them completely. Or option three,

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the new one. Charge a flat fee for every request

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they make. Simple. If the AI company pays, they

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get the content. If not, nope. Access denied.

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It puts the power back with the creator. And

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this is so important because that AI crawler

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traffic, it's just exploding. GPT bot traffic

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alone jumped, what was it, 305 % between 2024

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and 2025? Crazy numbers. Insane. And most of

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that scraping, zero compensation for the creators.

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Until now, really only huge media outlets had

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the lawyers in the clout to fight back. But this

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system, it could let anyone, small blogs, individual

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artists, whoever, set their price, join the resistance,

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you could say. Yeah. And what's really mind bending

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is Cloudflare's bigger vision here. It's not

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just about today's web crawlers. They're talking

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about building the infrastructure for the agentic

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Internet. That's like a future web navigated

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by smart AI agents acting on our behalf. Whoa.

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Seriously, imagine scaling that. Billions of

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queries. Your AI assistant browses, maybe buys

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access to specific content for you, builds custom

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reports using real -time, properly sourced info.

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In this paid -per -crawl system, that's the mechanism.

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That's the tollbooth that actually makes that

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future economically viable. It sets up the way

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value gets exchanged when AIs are doing the browsing.

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So stepping back, how do you think this Cloudflare

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pay -per -crawl could fundamentally change the

00:12:08.370 --> 00:12:10.370
Internet, especially for people creating content?

00:12:10.889 --> 00:12:12.889
it really could empower all creators big and

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small to finally get paid when ai uses their

00:12:15.629 --> 00:12:18.110
work shifting power back to them so let's try

00:12:18.110 --> 00:12:20.210
to pull this all together what does it all mean

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we've seen ai pushing beyond just language starting

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to engage with the physical world around us and

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that brings incredible potential yes but also

00:12:29.210 --> 00:12:31.750
these really unexpected challenges and questions

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from uh personal spiritual experiences mediated

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by AI to fundamental issues of fair pay for creators.

00:12:39.679 --> 00:12:41.659
Yeah, it's super clear AI isn't just another

00:12:41.659 --> 00:12:44.059
software tool anymore, is it? It's evolving into

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something bigger. It's got much broader implications

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for how we live our lives, how we work, maybe

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even how we understand intelligence itself and

00:12:51.399 --> 00:12:54.139
what being human means in this new landscape.

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And as AI does learn to see, to interact with

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our world, and as we try to figure out how it

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consumes information and how it creates it. What's

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our responsibility in all this? You know, how

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do we actively shape its evolution? Not just

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in the code, but in our culture, our ethics,

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our values. That feels like the big question

00:13:10.929 --> 00:13:12.710
looming. Definitely something to think about.

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Well, thank you for joining us on this deep dive

00:13:14.629 --> 00:13:16.250
today. If anything we talked about sparked some

00:13:16.250 --> 00:13:18.269
ideas or questions, maybe share it with a friend

00:13:18.269 --> 00:13:20.710
or dig into some of these topics yourself. There's

00:13:20.710 --> 00:13:23.129
a lot there. Until next time, keep digging. O

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-U -T -R -O music.
