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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 次观看 • 16 天前 •via X (Twitter)

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A senior data scientist on call, 24/7. That's the dream. Well, these three built it. This is Data Scout, the agent that connects to Snowflake, Notion, Slack, Github, digs into your data, and sends recurring reports automatically. Honestly, one of our most-used agents at Notion. You can build one too.

A senior data scientist on call, 24/7. That's the dream. Well, these three built it. This is Data Scout, the agent that connects to Snowflake, Notion, Slack, Github, digs into your data, and sends recurring reports automatically. Honestly, one of our most-used agents at Notion. You can build one too.

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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.

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.

Adeniyi.sui

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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

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MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

MCP is mind-blowing. Here is a genius setup that will earn you a promotion with your manager. I have multiple data sources: data in S3, MySQL, and local files. Using Spice (an open-source project), I can co-locate all of that data behind a single SQL endpoint and augment it using MCP. Before, accessing data was slow, and I had to make multiple requests to get anything. After using Spice, I can query the data much faster (since it's mirrored locally), and I don't have to worry about where the data is coming from. Spice acts as an MCP server, so I can connect to it from my IDE or the Claude Desktop app and have access to all the data. But even more cool than that: Spice also acts as an MCP client, so it can connect to other MCP servers. This is where things get really interesting! Watch the video. I'm querying multiple data sources from my IDE and using the Google Maps MCP server for driving directions.

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One decision, one action that locks you in, is all it takes to begin turning an idea into reality. At the Time to Rise Summit, we got clear on what we truly want and the tools and strategies to get there—now it’s time to take action. What’s one step you can take today that commits you to following through on the life you desire? Don’t wait, TAKE IT NOW.

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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

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your original birth certificate has a stamped number on it. that's a bond number. that bond number is traded on the stock market. the value of that bond number on the market is your value to them - which is commensurate with the amount of wealth they have stolen from you. that's called your minor estate. you can bitch all you want about whether nesara is a real thing or not - I could care less. one way or the other, this will all be sorted out. if I know, you know. If you know, then you can bet your ass they know that we all know. ncswic is not a tagline. you can take that to the bank.

your original birth certificate has a stamped number on it. that's a bond number. that bond number is traded on the stock market. the value of that bond number on the market is your value to them - which is commensurate with the amount of wealth they have stolen from you. that's called your minor estate. you can bitch all you want about whether nesara is a real thing or not - I could care less. one way or the other, this will all be sorted out. if I know, you know. If you know, then you can bet your ass they know that we all know. ncswic is not a tagline. you can take that to the bank.

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FundedNext Labs is where we bring new ideas live and you can test for a limited time. ✅ New experiments ✅ Open for a limited time ✅ A limited number of seats You test the idea. We watch the data. If the idea works, it goes live for everyone.

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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

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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."

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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516,470 次观看 • 11 个月前

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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13,943 次观看 • 1 个月前