WEBVTT

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Imagine for a second that you are, you know,

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just going about your day. Yeah, making coffee,

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sitting in a meeting, whatever it is. Right.

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And you receive a totally standard WhatsApp text

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message. Your phone just buzzes on the table.

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And you don't even pick it up. Exactly. You don't

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click a weird link. You never, like, type a sketchy

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command into a terminal. You literally just let

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your phone sit there with the lock screen lit

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up. Safely on the desk. But in the background,

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your AI assistant reads that notification, follows

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a set of hidden, invisible instructions buried

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deep inside the text of the message, and quietly,

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efficiently steals your data. I mean, it sounds

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like pure science fiction. It really does. Or

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at least the plot of an overly dramatic cyber

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thriller. But we are living in a moment where

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that is not fiction at all. That is a very real,

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very present vulnerability sitting in your pocket

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right now. It is genuinely terrifying. And that

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is exactly why we are here today. Welcome to

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today's deep dive. We're looking at an incredible

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stack of excerpts from a fascinating new book

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called The AI Sentinel. guardrails, growth, and

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generative breakthroughs. It's a great read.

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Our mission today is to really explore this massive

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friction and the structural leaps happening in

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the AI ecosystem right now. We're talking about

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these invisible hacks, the messy, chaotic reality

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of AI -generated code, and then on the brighter

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side, a revolutionary breakthrough that is finally

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killing the incredibly frustrating slot machine

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era of AI art. Because there is a massive paradigm

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shift happening across the entire tech landscape.

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We're actively moving from a phase of unchecked,

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wild hypergrowth into an era where, well, structure,

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security, and tight control are suddenly the

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most important things in the room. Okay, let's

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unpack this, because to really understand why

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AI is suddenly such a massive target for hackers

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in the first place, we first have to look at

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the sheer unprecedented scale of its adoption.

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Yeah, you really can't grasp the hack until you

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grasp the size of the target. Exactly. Just to

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put this in perspective for you, ChatGPT just

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crossed one billion monthly active app users

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in May. One billion. It's staggering. And the

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wild part isn't just the number, it's the timeline.

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It reached this milestone in about three years.

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Which is, I mean, unheard of. Faster than TikTok,

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faster than Instagram, faster than YouTube, faster

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than Google Maps. It is the fastest adoption

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of a consumer technology in human history. Which

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is an incredible engineering feat, undoubtedly.

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But it's also a complete security nightmare.

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Oh, absolutely. When you have... a billion people

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rapidly adopting a system. And that system is

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increasingly tied to their personal data, their

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daily schedules, their private communications.

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It just becomes the ultimate prize for bad actors.

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And that brings us to what happened with Google's

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Gemini. Right. The Safe Breach Labs exploit.

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Yes. Safe Breach Labs just pulled off exactly

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what you described in that opening scenario.

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And the really crazy part about this whole thing,

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this is the second time they've managed to break

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Google's Gemini this exact same way. Wow. Twice.

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Yeah. The attack vector relies on something called

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indirect prompt injection. Let's slow down and

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break that down because I think people hear injection

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and they picture like someone typing green code

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into a dark terminal. How does this actually

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work mechanically on a phone? So an AI assistant

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on your phone, by its very nature, is designed

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to be as helpful as possible. Right. To be helpful,

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it needs context. It wants to know what you're

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doing. So it constantly reads incoming content

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-like notifications popping up on your screen

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to maintain an understanding of your day. Makes

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sense. Indirect prompt injection takes advantage

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of that exact helpfulness. Attackers hide malicious

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instructions inside everyday content that the

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AI naturally scans anyway. So it's basically

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a Trojan horse hidden inside a regular text message.

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Exactly. In this specific exploit, the researchers

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used a novel trick to make the malicious code

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look like it was just a natural part of your

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ongoing conversation. How so? Well, your phone

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gets a text. The Android notification listener

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sees it and hands it to Gemini to summarize.

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Gemini reads it. But hidden in the text is a

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command formatted in a way that Gemini interprets

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as a direct, high -priority order from the system

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rather than just words in a message. So the AI

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thinks it's just maintaining context, but it's

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actually quietly taking orders from the hacker.

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Precisely. it perfectly bypasses Google's existing

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layered guardrails because to the security filters,

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It doesn't look like an attack. It just looked

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like conversational contacts. Unbelievable. And

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because Gemini's Android agent reads incoming

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notifications to stay updated, this attack works

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across almost everything you use. WhatsApp, Slack,

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Signal, SMS, Instagram. Any notification. Any

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of them. The AI extracts the data, executes the

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hacker's commands entirely in the background,

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and you get absolutely zero alerts. Wait. If

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I don't give the AI access to my external tools

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or bank accounts, how much damage can it really

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do? Like, let's say I just use it to answer trivia

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questions. That is the logical assumption to

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make, right? You keep the AI siloed, you don't

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connect your bank, and you figure you're safe.

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But there is a truly terrifying detail about

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this exploit. Even without external cool access,

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attackers can still force the AI to serve fake

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system messages directly to the user. Oh, wow.

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So even if the AI physically cannot wire my money,

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it can pop up a totally legitimate looking Google

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system alert on my screen that says, your session

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expired. Please enter your password. And then

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just hand that newly typed password straight

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to the attacker. That is so sinister. Yes. It

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becomes the ultimate phishing mechanism because

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it comes from a trusted internal source, your

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own digital assistance interface. Right. You'd

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never question it. Google built layered defenses

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to stop this exact thing, but the same security

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team bypassed them twice. That is the uncomfortable

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truth about our current AI ecosystem. So what

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can we actually do? The advice to you listening

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right now is extremely clear. If you do not actively

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use a specific integration on your device, disable

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it. You must proactively lock your own doors

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because the next security researcher, or worse,

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the next malicious hacker, is already hunting

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for the next loophole. It really highlights the

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dark side of hyperscale. And speaking of the

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fallout from that kind of scale, it's not just

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targeted security threats we have to worry about.

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No, definitely not. We're also seeing a massive

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degradation in the quality of the internet itself.

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Just look at Reddit right now. It's currently

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drowning in AI -powered spam. Drowning. 67 %

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of moderators report that authentic community

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discussions are already being eroded. 67%. It's

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a severe ecosystem pollution problem. When generating

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text is free, instantaneous, and completely automated,

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bad actors are going to flood every single available

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channel. Until the noise completely drowns out

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the human signal. This raises an important question.

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How can we possibly trust these systems as they

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become deeply embedded in our daily lives? Right.

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If they're vulnerable to invisible hijacks through

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a simple Slack message and they're actively degrading

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the platforms we use to communicate with each

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other. Something foundational has to change.

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And that perfectly sets up the industry's response

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right now. Because if cloud connected, hyper

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integrated AI is proving to be both a security

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vulnerability and a spam engine, tech companies

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are fundamentally rethinking where and how AI

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operates. We're seeing this massive, sudden push

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for more localized, highly specialized control.

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We are absolutely stepping away from the. one

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giant brain in the cloud model case in point

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is perplexity they just unveiled a new hybrid

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ai mode called perplexity computer which is super

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interesting what this does is it splits tasks

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it runs a local model right on your physical

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device for certain private or simple things and

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it only pings the massive frontier models in

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the cloud when it absolutely has to For complex

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reasoning. Which is a brilliant move for privacy,

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security, and speed. Right. To make that kind

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of local execution possible, we're seeing incredible

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technical leaps. Look at Google GEMMA 412B. Let's

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talk about GEMMA. This is a new model that processes

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text, vision, and audio natively. It doesn't

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use separate encoders for different types of

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media, which makes it incredibly efficient. It

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can run locally on just 16 gigabytes of VRAM.

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Okay, I want to pause there because I hear terms

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like encoders and VRAM, and I know some people's

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eyes might start to glaze over. Break down why

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that is actually a structural leap for someone

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who just wants their laptop to be secure. Okay,

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think about how older AI models worked. If you

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showed an AI a picture, it couldn't actually

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see it. Right, it's just code. Exactly. It had

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to use a separate piece of software, an encoder,

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to translate that picture into a giant block

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of text describing the picture. And then the

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AI could process the text. It sounds slow. It

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is. It takes a massive amount of computing power

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and memory. But Gemma 412B processes it natively.

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It doesn't need a translator. It just sees the

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image and hears the audio directly. That's a

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huge shift. Yeah. And because it's so efficient,

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it only requires 16 gigabytes of video RAM or

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VRAM, which is just the memory on a standard

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graphics card. Which means it can run on a high

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end consumer laptop, entirely disconnected from

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the Internet, completely secure and private.

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Exactly. You don't need a server farm. You just

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need a good laptop. But of course, the big tech

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companies aren't just retreating to local hardware

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to solve these problems. They're also trying

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to fight fire with fire. There is a new empowered

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tool called Astra Autonomous Pentest, and it

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literally uses AI agents to find, validate, and

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fix vulnerabilities. It just runs constantly

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in the background. Right. It operates as native

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pumps inside coding environments like Cursor,

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Copilot, and Cloud Code, just hunting for security

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flaws in real time. But I have to say, using

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AI to fix AI vulnerabilities feels a bit like

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hiring a sloppy builder to inspect their own

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house, right? It is a massive gamble. I mean,

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you are trusting a system known for making bizarre

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logical leaps to spot its own architectural flaws.

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And the irony is really peeking over at Google,

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because right now, 75 % of Google's code is officially

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AI generated. 75%. Yes. But internally, employees

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are sharing memes openly joking that the AI constantly

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hallucinates and actually makes their engineering

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work harder. Because they have to untangle its

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mess. It is a brilliant paradox. We're relying

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on AI to do the heavy lifting of code generation

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because it's fast. You can write a million lines

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of code in a second. And the quality. Right.

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The structural precision, the fundamental reliability,

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it just isn't fully there yet. It might confidently

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invent a function that doesn't actually exist

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in the programming language and then confidently

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use that fake function across hundreds of files.

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What a nightmare to clean up. If we connect this

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to the bigger picture. This is exactly why big

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tech is pivoting so hard right now. They realize

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they can't just rely on raw open -ended chatbots

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anymore. Asking a general AI to write secure

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code or manage a business is way too risky. So

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they're specializing. Exactly. They're building

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specialized, highly controlled, goal -oriented

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agents. And we are seeing that specialization

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everywhere. Meta just launched business agent

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globally. You can now deploy these specialized

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AI agents across WhatsApp, Instagram, and Messenger.

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And they have a very narrow focus. Right. Their

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entire job, their only function, is to book appointments,

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qualify leads, and close sales. No philosophical

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chats, no hallucinating weird code, just highly

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constrained business logic. Because constrained

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parameters yield better, safer results. You narrow

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the focus to reduce the risk. Facebook is doing

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the exact same thing for content creators now.

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Oh, the strategist tool. Yeah, they're giving

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all creators an AI strategist. It doesn't just

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write a generic post for you. It analyzes your

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specific audience data, suggests ideas, tracks

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market trends, and spots viral potential before

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you even post. And it's not just text and business

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logic either. Suno, the AI music generation platform,

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just raised over $400 million at a $5 .4 billion

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valuation. Massive numbers. And their big next

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move, they are launching their first model built.

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specifically with music industry partners. So

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instead of just blindly scraping the entire internet

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and causing absolute copyright chaos, they are

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moving toward controlled, industry -compliant

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AI. It is all about bringing guardrails and precision

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to a technology that has, until now, been incredibly

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chaotic. The Wild West phase is ending. And that

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deep need for precision brings us to one of my

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absolute favorite topics today. Because this

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lack of control hasn't just been an engineering

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headache or a business problem, it has completely

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revolutionized how we generate media. Yes, the

00:12:50.200 --> 00:12:52.600
creative side. The era we are leaving behind

00:12:52.600 --> 00:12:55.899
is what we can call the slot machine era of AI

00:12:55.899 --> 00:12:59.330
art. And it is finally... dead it is a profound

00:12:59.330 --> 00:13:01.769
shift for creatives everywhere for the longest

00:13:01.769 --> 00:13:04.090
time prompting an image generator was literally

00:13:04.090 --> 00:13:06.450
like pulling the lever on a casino slot machine

00:13:06.450 --> 00:13:09.110
you type in a prompt pull the lever and get a

00:13:09.110 --> 00:13:12.090
beautiful high definition image but maybe it

00:13:12.090 --> 00:13:14.289
wasn't quite right right maybe your main subject

00:13:14.289 --> 00:13:17.529
had six fingers on one hand or there was a coffee

00:13:17.529 --> 00:13:20.129
cup just randomly hovering floating in midair

00:13:20.129 --> 00:13:21.889
in the background it used to happen all the time

00:13:21.889 --> 00:13:24.230
all the time and the worst part was trying to

00:13:24.230 --> 00:13:26.690
fix it you couldn't just tell the ai hey keep

00:13:26.690 --> 00:13:28.340
everything exactly exactly the same but move

00:13:28.340 --> 00:13:30.340
the cup to the table, you either had to pull

00:13:30.340 --> 00:13:32.500
the lever again, lose the entire image you just

00:13:32.500 --> 00:13:35.120
liked and pray the next roll was better, or you

00:13:35.120 --> 00:13:37.159
had to export it to Photoshop and clone stamp

00:13:37.159 --> 00:13:39.980
it yourself by hand. You had the magic of generation,

00:13:40.279 --> 00:13:43.320
but you completely lacked structural control.

00:13:44.120 --> 00:13:47.649
And that is what has fundamentally changed. Two

00:13:47.649 --> 00:13:50.470
new models from Image Labs called Edeogram and

00:13:50.470 --> 00:13:53.549
Reeve have completely flipped the script on how

00:13:53.549 --> 00:13:55.429
this works. Let's talk about those. They now

00:13:55.429 --> 00:13:58.129
rely on structured layouts and agentic control.

00:13:58.570 --> 00:14:00.889
Let's do Ideagram 4 .0 first because this is

00:14:00.889 --> 00:14:03.549
a huge leap. It has gone completely open source.

00:14:03.789 --> 00:14:05.850
For anyone unfamiliar, that means the underlying

00:14:05.850 --> 00:14:08.809
brain of the AI, the open weights, are available

00:14:08.809 --> 00:14:11.769
for anyone to download, inspect, and build upon

00:14:11.769 --> 00:14:14.649
rather than being locked away behind a corporate

00:14:14.649 --> 00:14:17.309
API. Which is huge for the community. Huge. And

00:14:17.309 --> 00:14:20.049
right now, it holds the top spot for open weights

00:14:20.049 --> 00:14:22.210
on the Design Arena leaderboard. Which is essentially

00:14:22.210 --> 00:14:25.049
a massive blind taste test. Exactly. Professional

00:14:25.049 --> 00:14:27.649
designers vote on which AI generates the best

00:14:27.649 --> 00:14:31.080
image. Ideogram absolutely dominates at the hard

00:14:31.080 --> 00:14:33.700
stuff. Text rendering, typography, graphic design.

00:14:33.960 --> 00:14:37.360
It is even beating out closed proprietary rivals

00:14:37.360 --> 00:14:39.820
in those blind tests. And the mechanism behind

00:14:39.820 --> 00:14:41.980
how it does that is what makes it so powerful.

00:14:42.159 --> 00:14:45.240
It uses a JSON -driven approach. Break down JSON

00:14:45.240 --> 00:14:47.740
for us, for those who aren't coders. Right. So

00:14:47.740 --> 00:14:50.399
JSON is essentially a lightweight data map. It's

00:14:50.399 --> 00:14:52.960
a way to organize information using text so a

00:14:52.960 --> 00:14:55.529
computer can easily read it. With older models,

00:14:55.710 --> 00:14:58.529
the AI just mushed all the pixels together based

00:14:58.529 --> 00:15:00.730
on your text prompt. Like a flat painting. Exactly.

00:15:01.090 --> 00:15:04.549
With Ediogram, the AI generates a JSON map of

00:15:04.549 --> 00:15:07.049
the image first. It creates a structural blueprint.

00:15:07.289 --> 00:15:09.730
So if you want to move that floating coffee cup

00:15:09.730 --> 00:15:12.269
or tweak a background element, you don't re -roll

00:15:12.269 --> 00:15:14.169
the image and lose everything. You don't pull

00:15:14.169 --> 00:15:16.070
the slot machine lever again. Right. You literally

00:15:16.070 --> 00:15:18.409
just open the text file, find the coordinates

00:15:18.409 --> 00:15:21.149
for the coffee cup in the code, and change the

00:15:21.149 --> 00:15:24.029
layout. The image updates instantly. keeping

00:15:24.029 --> 00:15:26.690
the rest of the scene perfect. That is mind -blowing.

00:15:26.789 --> 00:15:29.350
You are editing the physical structure of a generated

00:15:29.350 --> 00:15:32.289
image directly through data coordinates. Exactly.

00:15:32.309 --> 00:15:34.490
You are no longer just prompting, you are directing.

00:15:34.929 --> 00:15:36.730
And Rave did something very similar with their

00:15:36.730 --> 00:15:39.990
new 2 .0 model. Rave just dethroned NanoBanana

00:15:39.990 --> 00:15:42.730
2 to claim the number two spot overall on the

00:15:42.730 --> 00:15:45.029
main text -to -image leaderboard, sitting right

00:15:45.029 --> 00:15:48.629
behind GPT -Image 2. Which is wild, because NanoBanana

00:15:48.629 --> 00:15:50.809
2 was the reigning champion for a long time.

00:15:51.169 --> 00:15:54.830
Yeah, so unseating it is a massive deal in the

00:15:54.830 --> 00:15:58.570
AI community. Review .0 outputs images with labeled

00:15:58.570 --> 00:16:01.090
segments. You can actually see the structural

00:16:01.090 --> 00:16:03.610
blocks of the image on your screen and rewrite

00:16:03.610 --> 00:16:05.909
the layout directly. Here's where it gets really

00:16:05.909 --> 00:16:09.190
interesting, though. Because Ideagram open sourced

00:16:09.190 --> 00:16:11.789
these weights, it proves that the open source

00:16:11.789 --> 00:16:14.710
community is the one actively defining the step

00:16:14.710 --> 00:16:17.110
change. Absolutely. It's not just a cool feature

00:16:17.110 --> 00:16:19.470
locked behind a massive, expensive corporate

00:16:19.470 --> 00:16:22.909
paywall. It's a fundamental upgrade to how humanity

00:16:22.909 --> 00:16:25.330
interacts with generative media. And it's being

00:16:25.330 --> 00:16:27.590
driven by the community. It is a true maturation

00:16:27.590 --> 00:16:29.909
of the medium. We're seeing broader media upgrades

00:16:29.909 --> 00:16:33.210
across the board, too. Like Grok Imagine 1 .5

00:16:33.210 --> 00:16:36.210
preview was just released via their API. I saw

00:16:36.210 --> 00:16:38.590
that, yeah, at x .aii Imagine. Right, and it

00:16:38.590 --> 00:16:40.710
brings much sharper realism, incredibly better

00:16:40.710 --> 00:16:43.490
audio syncing for video generation, and vastly

00:16:43.490 --> 00:16:45.429
stronger prompt following. Which is so critical

00:16:45.429 --> 00:16:47.529
right now because we desperately need these tools

00:16:47.529 --> 00:16:49.850
to help creators avoid producing what the internet

00:16:49.850 --> 00:16:52.450
is now collectively calling AI slop. Yes, the

00:16:52.450 --> 00:16:55.059
slop. You mentioned Reddit being flooded with

00:16:55.059 --> 00:16:57.799
spam earlier. There was a viral post recently

00:16:57.799 --> 00:17:01.980
warning against four very specific overused design

00:17:01.980 --> 00:17:04.420
patterns that people now instantly associate

00:17:04.420 --> 00:17:09.019
with lazy AI generated website building. Right.

00:17:09.079 --> 00:17:10.839
Because when everyone has access to the exact

00:17:10.839 --> 00:17:13.250
same slot machine. Everything starts to look

00:17:13.250 --> 00:17:15.069
exactly the same. The Internet just loses its

00:17:15.069 --> 00:17:17.630
texture. It gets boring. Yeah. But when you give

00:17:17.630 --> 00:17:21.069
creators precise layout control, like with Enneagram's

00:17:21.069 --> 00:17:23.170
JSON structures or Reeve's labeled segments,

00:17:23.410 --> 00:17:26.150
you empower them to make actual intentional design

00:17:26.150 --> 00:17:28.750
choices again. You escape the slob because you

00:17:28.750 --> 00:17:30.549
can inject human case back into the structure.

00:17:30.769 --> 00:17:32.670
So what does this all mean for you listening

00:17:32.670 --> 00:17:34.740
today? When you look at all these pieces together,

00:17:34.880 --> 00:17:36.640
it paints a really vivid picture of where we

00:17:36.640 --> 00:17:39.359
are right now. Very clear trajectory. The overarching

00:17:39.359 --> 00:17:42.619
journey of the AI ecosystem today is a massive,

00:17:42.680 --> 00:17:46.119
high -stakes tug of war. On one hand, AI has

00:17:46.119 --> 00:17:48.420
reached a scale where it is so ubiquitous that

00:17:48.420 --> 00:17:50.519
it can be invisibly hijacked through a simple

00:17:50.519 --> 00:17:52.680
WhatsApp notification sitting on your lock screen.

00:17:52.839 --> 00:17:55.220
And it's powerful enough to flood our forums

00:17:55.220 --> 00:17:58.519
with synthetic spam. But on the other hand, the

00:17:58.519 --> 00:18:01.579
response to that chaos is a beautiful evolution

00:18:01.579 --> 00:18:04.809
toward precision. The technology is evolving

00:18:04.809 --> 00:18:07.569
into a highly controllable tool that can run

00:18:07.569 --> 00:18:10.170
natively and privately right on your laptop.

00:18:10.410 --> 00:18:12.450
It's a totally different approach. It allows

00:18:12.450 --> 00:18:15.829
you to edit reality, whether that's an image,

00:18:15.890 --> 00:18:19.250
a song, or a complex business workflow, with

00:18:19.250 --> 00:18:22.009
the absolute precision of layout code. Wait,

00:18:22.269 --> 00:18:24.109
I mean, that completely flips the narrative.

00:18:24.289 --> 00:18:26.970
You are moving from being a passive passenger

00:18:26.970 --> 00:18:30.069
on this AI ride to being a pilot. That's a great

00:18:30.069 --> 00:18:31.960
way to put it. But being a pilot means you have

00:18:31.960 --> 00:18:34.480
to actually do your pre -flight checks. So the

00:18:34.480 --> 00:18:36.819
biggest takeaway for you today, please go into

00:18:36.819 --> 00:18:39.480
your AI assistance and disable any integrations

00:18:39.480 --> 00:18:42.099
you are not actively using. Protect yourself

00:18:42.099 --> 00:18:44.819
from those invisible prompt injections. Lock

00:18:44.819 --> 00:18:47.480
your digital doors. Security absolutely has to

00:18:47.480 --> 00:18:50.099
be a proactive habit now. It can no longer be

00:18:50.099 --> 00:18:52.609
an afterthought. And if you are looking to actively

00:18:52.609 --> 00:18:55.130
manage your piece of this ecosystem rather than

00:18:55.130 --> 00:18:57.410
just letting it wash over you, there are a couple

00:18:57.410 --> 00:18:59.750
of community tools mentioned in the sources worth

00:18:59.750 --> 00:19:01.789
checking out. Oh, right. The community tools.

00:19:02.029 --> 00:19:04.660
Yeah. If you are running a business and dealing

00:19:04.660 --> 00:19:07.119
with that AI spam filter problem we talked about,

00:19:07.299 --> 00:19:10.559
look into MailWarm 2 .0. It's a premium email

00:19:10.559 --> 00:19:12.720
warm -up and deliverability system that ensures

00:19:12.720 --> 00:19:15.539
your legitimate messages actually reach the inbox

00:19:15.539 --> 00:19:18.299
instead of getting flagged as bot slop. Very

00:19:18.299 --> 00:19:20.240
necessary right now. And if you want to learn

00:19:20.240 --> 00:19:22.680
how to actually build and control these AI agents

00:19:22.680 --> 00:19:25.119
yourself, check out Build Club Campus. It's a

00:19:25.119 --> 00:19:28.579
fun, gamified, community -driven virtual AI school

00:19:28.579 --> 00:19:31.420
where you learn these concepts by actually building

00:19:31.420 --> 00:19:33.319
things with your own hands. What's fascinating

00:19:33.319 --> 00:19:35.859
here is how quickly we are moving from being

00:19:35.859 --> 00:19:39.160
passive consumers of AI magic, just pulling the

00:19:39.160 --> 00:19:41.200
slot machine lever and hoping for the best to

00:19:41.200 --> 00:19:43.960
becoming active, secure managers of our own AI

00:19:43.960 --> 00:19:45.920
infrastructure. It is a completely different

00:19:45.920 --> 00:19:48.400
mindset. But as we wrap up this deep dive, I

00:19:48.400 --> 00:19:51.440
want to leave you with one final, deeply unsettling,

00:19:51.440 --> 00:19:53.619
but absolutely fascinating thought to ponder.

00:19:53.680 --> 00:19:55.779
Let's hear it. We've talked today about how human

00:19:55.779 --> 00:19:58.519
hackers are hiding invisible prompts and WhatsApp

00:19:58.519 --> 00:20:01.400
messages to trick your A .I. And we also know

00:20:01.400 --> 00:20:04.099
from Google that A .I. is now actively writing

00:20:04.099 --> 00:20:06.759
75 percent of the code at some of these massive

00:20:06.759 --> 00:20:09.359
tech companies, often hallucinating and making

00:20:09.359 --> 00:20:11.839
bizarre structural mistakes along the way. Right.

00:20:12.039 --> 00:20:14.079
So what happens the day an A .I. hallucination

00:20:14.079 --> 00:20:16.940
organically writes a line of code that accidentally

00:20:16.940 --> 00:20:19.759
acts as an indirect prompt injection? Could an

00:20:19.759 --> 00:20:22.420
A .I. hack another A .I. entirely by mistake

00:20:22.420 --> 00:20:26.599
without a human Wow. Something to think about

00:20:26.599 --> 00:20:27.859
next time your phone buzzes.
