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SQL injection! 💉 After finding the number of columns using the NULL trick, you can take it a step further and identify which column takes which data type. Swap 'abc' into one position at a time. The one that comes back without an error is your string column, and... show more

Web Security Academy

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20,203 views • 16 days ago •via X (Twitter)

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every question in this clip is an ownership question, especially data because when everyone has access to the same intelligence, the only input that separates your business from the next one is the data you own your data is decades of decisions, customers, mistakes, and edge cases that exist nowhere else on earth that is the moat and enterprises are waking up to the fact that they've been leaking it one api call at a time my prediction is this: data ownership is going to absolutely matter in the world we're going into and whoever's building the infrastructure for it is going to have a very good decade.

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Yesterday, I told you about a wall I'd been hitting for years. Today I get to break through it — with two announcements. 👇 𝟭. CreativAI is out of stealth — the SQL layer for Physical and Visual AI; also enabling visual intelligence to be verifiable, reliable, and cost-effective. 𝟮. We're launching a product that works today. Not a waitlist. Not a vision deck. Something you can try right now 👇 Whether you're an individual exploring AI, a developer building the next generation of applications, or an enterprise unlocking the value of visual data, CreativAI is ready for you. Deploy in the cloud, on-premises, or integrate through our APIs—whichever fits your workflow. Grateful to our CCO Waleed, our advisors Rob Ferguson and Abdul Jarrar, and to Google for Startups, AWS Startups, Microsoft for Startups, and NVIDIA for Startups Inception for the support. I've spent my career at the foundations of vision-language AI — research at KAUST, Stanford, Meta FAIR, and Adobe. I contributed to some of the building blocks the field now takes for granted: a linear version of CLIP (ICCV13; and the first vision LLMs — VisualGPT (CVPR22), MiniGPT-4(Arxiv'23, ICLR24). Somewhere along the way, the hardest problem in visual AI moved. Every kind of data got its breakthrough. Documents got search. Tabular data got SQL. Code got GitHub. Each one gave messy data a structure — something you could query, verify, and act on. Visual data never got that SQL like accessibility; the largest data type we produce — over 80% of internet traffic, a billion cameras and climbing. And there's a deeper limit. The models got remarkably good, but the events that matter most in your operation barely exist in pretraining data. A general model may have never seen them — so it can't recognize them in your world. That's what we built at Creativ AI. Point it at anything with a lens — cameras, robots, live streams, or years of archives. Our Data Plating technology turns raw pixels into structure the instant something happens: entities, events, behaviors. Not captions. Not metadata. The video itself, as rows and columns. Live streams as they happen, archives you've had for years —all of it becomes a knowledge base you can query. In plain language for your team. Through APIs for your agents. On-device for your robots, so they can close the loop and act inside your workflows. Every row points back to the moment it came from — so every result is traceable, verifiable, and safe to build on. One structured picture. One source of truth. Everyone reading from the same record. And this is where the pretraining gap closes: you teach it your domain — your events, your entities, the rare cases that matter. CreativAI learns what a general model never could, so the long tail of your world becomes queryable data like everything else

Yesterday, I told you about a wall I'd been hitting for years. Today I get to break through it — with two announcements. 👇 𝟭. CreativAI is out of stealth — the SQL layer for Physical and Visual AI; also enabling visual intelligence to be verifiable, reliable, and cost-effective. 𝟮. We're launching a product that works today. Not a waitlist. Not a vision deck. Something you can try right now 👇 Whether you're an individual exploring AI, a developer building the next generation of applications, or an enterprise unlocking the value of visual data, CreativAI is ready for you. Deploy in the cloud, on-premises, or integrate through our APIs—whichever fits your workflow. Grateful to our CCO Waleed, our advisors Rob Ferguson and Abdul Jarrar, and to Google for Startups, AWS Startups, Microsoft for Startups, and NVIDIA for Startups Inception for the support. I've spent my career at the foundations of vision-language AI — research at KAUST, Stanford, Meta FAIR, and Adobe. I contributed to some of the building blocks the field now takes for granted: a linear version of CLIP (ICCV13; and the first vision LLMs — VisualGPT (CVPR22), MiniGPT-4(Arxiv'23, ICLR24). Somewhere along the way, the hardest problem in visual AI moved. Every kind of data got its breakthrough. Documents got search. Tabular data got SQL. Code got GitHub. Each one gave messy data a structure — something you could query, verify, and act on. Visual data never got that SQL like accessibility; the largest data type we produce — over 80% of internet traffic, a billion cameras and climbing. And there's a deeper limit. The models got remarkably good, but the events that matter most in your operation barely exist in pretraining data. A general model may have never seen them — so it can't recognize them in your world. That's what we built at Creativ AI. Point it at anything with a lens — cameras, robots, live streams, or years of archives. Our Data Plating technology turns raw pixels into structure the instant something happens: entities, events, behaviors. Not captions. Not metadata. The video itself, as rows and columns. Live streams as they happen, archives you've had for years —all of it becomes a knowledge base you can query. In plain language for your team. Through APIs for your agents. On-device for your robots, so they can close the loop and act inside your workflows. Every row points back to the moment it came from — so every result is traceable, verifiable, and safe to build on. One structured picture. One source of truth. Everyone reading from the same record. And this is where the pretraining gap closes: you teach it your domain — your events, your entities, the rare cases that matter. CreativAI learns what a general model never could, so the long tail of your world becomes queryable data like everything else

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One of John McAfee's final messages to the world: "Some of you may be living an existence of dissatisfaction... of emptiness... of longing." "This sense of longing... is really your loss of freedom. And it is freedom for which you yearn." "And you have none in this government. A government... which started out with the people being free and the government being our servants. It has become the government is free... and it's the people that are the servants." "You have woken up to your reality. That is what you are feeling." "Wake up a bit more and do something about it."

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Red Pill Dispenser

516,470 views • 11 months ago

When it comes to building CCNA labs, you don't have to pick just one. There is massive value in using real hardware, Packet Tracer, and GNS3/CML together! - Real Hardware: Gives you that crucial experience of cabling, connecting devices, and using Putty to SSH into devices, you don't get that feeling just by clicking an icon! - Virtualization (GNS3/CML): Setting up a virtual machine and connecting it to your real network is an entire education on its own! - Packet Tracer: Perfect for running through pre-made, step-by-step instructor labs, which mirror exactly what you will see on the exam simulations. You can master them all, and it will surely help you clear your CCNA with ease. Join the Summer of CCNA right now to experience the real labs: 🚀

When it comes to building CCNA labs, you don't have to pick just one. There is massive value in using real hardware, Packet Tracer, and GNS3/CML together! - Real Hardware: Gives you that crucial experience of cabling, connecting devices, and using Putty to SSH into devices, you don't get that feeling just by clicking an icon! - Virtualization (GNS3/CML): Setting up a virtual machine and connecting it to your real network is an entire education on its own! - Packet Tracer: Perfect for running through pre-made, step-by-step instructor labs, which mirror exactly what you will see on the exam simulations. You can master them all, and it will surely help you clear your CCNA with ease. Join the Summer of CCNA right now to experience the real labs: 🚀

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