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I Finally Made One of Those Weird AI Videos. It Took 10 Minutes.

2026-02-11T04:07:56+00:00

You've seen them. Those weird AI videos where someone is cutting colorful glass cubes and the pieces fall in the most satisfying way possible. Or dark chocolate is telling white chocolate that he's not even real cocoa. Next thing you know, you've watched it five times and your friend is asking why you sent them a video of crying chocolate at 2am. These videos are everywhere right now, and they're surprisingly easy to make. The workflow is simple: use Claude to write your script, then use Kling AI to turn it into an animated video. That's basically it! This guide [...]

I Finally Made One of Those Weird AI Videos. It Took 10 Minutes.2026-02-11T04:07:56+00:00

Amazon Nova: Engineering the Future of Agentic AI

2026-02-03T13:45:47+00:00

The generative AI (GenAI) revolution has fundamentally changed how organizations extract value from data. Large language models (LLMs) excel at understanding and generating human-like text, but their true enterprise value emerges only when they can access proprietary data and take real-world action. While vector databases and retrieval-augmented generation (RAG) gave LLMs memory, Amazon Nova provides execution and specialization. In this article, we break down the Amazon Nova model family, with a deep focus on Nova Act and Nova Forge, and explain how they enable a shift from passive chatbots to autonomous, enterprise-grade AI agents. What Is the Amazon Nova Model [...]

Amazon Nova: Engineering the Future of Agentic AI2026-02-03T13:45:47+00:00

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs

2026-01-27T18:52:57+00:00

Large language models (LLMs) are transforming tech, but they also bring new security headaches. The OWASP Top 10 for LLMs highlights the biggest AI risks we should know about. In this guide, we explain each risk in simple terms, give everyday examples, and share quick safety tips. Whether you’re a developer or a casual tech user, this walkthrough will help you understand and avoid the most common AI pitfalls. Prompt Injection What it is: Prompt Injection happens when someone sneaks special instructions into an AI’s input so the model does something unintended. In other words, a user’s query tricks the AI [...]

The AI Risks Hiding in Plain Sight: OWASP’s Top 10 for LLMs2026-01-27T18:52:57+00:00

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator

2026-01-27T18:51:07+00:00

If you’ve ever struggled to package your ML model in a custom Docker image for SageMaker, the new ml-container-creator tool is here to help. This friendly open-source wizard guides you through building a SageMaker-compatible container without all the usual Docker headaches. It’s like having an assistant that writes your Dockerfile, server code, and config files for you, so you can focus on your model. What is BYOC on SageMaker? BYOC stands for Bring Your Own Container. In SageMaker, BYOC means you supply your own Docker image with everything needed to serve your ML model (the code, libraries, dependencies, etc.). AWS [...]

Bring Your Own Container Made Easy: Introducing AWS ml-container-creator2026-01-27T18:51:07+00:00

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)

2026-01-23T16:49:14+00:00

For years, Search Engine Optimization (SEO) defined how digital content succeeded online. Keywords, backlinks, and domain authority shaped rankings and traffic. But as we move deeper into 2026, the search landscape has fundamentally changed. With the rise of Large Language Models (LLMs), AI-powered search experiences, and zero-click results, traditional SEO alone is no longer enough. Today, success is less about ranking for clicks and more about being cited as a trusted source. This shift marks the arrival of Generative Engine Optimization (GEO) which is a strategy focused on visibility, authority, and AI-driven discovery. What Is Generative Engine Optimization (GEO)? Generative [...]

The Death of Traditional SEO? Welcome to the Era of Generative Engine Optimization (GEO)2026-01-23T16:49:14+00:00

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot

2025-12-28T16:02:53+00:00

Picture this: your application works perfectly on your local machine. You deploy it to AWS, then immediately hit an “Access Denied” error. If you’ve worked with AWS for any length of time, you’ve experienced this. What follows is usually a frustrating dive into IAM documentation, trial-and-error permission updates, and lost development momentum. AWS Labs created IAM Policy Autopilot to solve exactly this problem. IAM Policy Autopilot analyzes your application code and generates AWS IAM policies based on the actual SDK calls your code makes. No guessing. No hallucinated permissions. Just deterministic, repeatable policy generation. What Is IAM Policy Autopilot? IAM [...]

Zero-Sweat: A Comprehensive Guide to IAM Policy Autopilot2025-12-28T16:02:53+00:00

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers

2025-12-21T16:15:25+00:00

Amazon Q is often introduced as AWS's generative AI assistant, but that description doesn't really explain why it exists or how it behaves once you start using it. If you treat Amazon Q like a general chatbot, it can feel restrictive or underwhelming. If you treat it as an AWS-native system designed around identity, permissions, and retrieval, it becomes much easier to understand. And much more useful. I've spent a lot of time working with Amazon Q while creating video content for Tutorials Dojo courses, and most of what I'll share here comes from that hands-on experience. My goal is [...]

Amazon Q in Practice: How AWS’s AI Assistant Actually Works for Businesses and Developers2025-12-21T16:15:25+00:00

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake

2025-12-06T12:04:18+00:00

Amazon Security Lake is a managed service that collects and stores security logs from AWS services, on-premises systems, and supported third-party tools. It automatically converts all incoming data into Apache Parquet and formats everything using the OCSF schema. This setup allows different kinds of security logs to follow one consistent structure instead of having separate formats. With this unified approach, teams no longer need to decode or reorganize data manually because Security Lake handles the normalization process for them. In this article, we will walk through what OCSF is, how Amazon Security Lake uses it, and why this combination makes [...]

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake2025-12-06T12:04:18+00:00

Can Gemini 3 Replace My AI Toolkit?

2025-12-04T00:51:06+00:00

I've always approached AI with one mindset: use whatever tool gets the job done fastest and cleanest. I'm not loyal to one model, one company, or one ecosystem. I switch between tools depending on what my day looks like. In school, that might mean summarizing academic papers. At work or during self-study, that might mean debugging code or reviewing a cloud diagram. For daily life, it might just mean drafting an email or organizing my notes. So when Gemini 3 came out, I didn't ask whether it was "better" in the vague, marketing sense. My question was simpler: Could it [...]

Can Gemini 3 Replace My AI Toolkit?2025-12-04T00:51:06+00:00

A New Player in Town: Google Antigravity

2025-11-25T09:30:32+00:00

On Wednesday, Google, the creators of Gemini, one of the top competitors of popular LLMs like ChatGPT (developed by OpenAI), recently launched their first AI agentic development IDE, known as Google Antigravity. Built for a wide range of customers, it is targeted to both professional developers working on large enterprise codebases and hobbyists vibe coding in their spare time. It provides installation support for Windows, MacOS, and Linux. In the rising wave of AI-powered IDEs, it provides a completely new and unique set of features over the usual and typical features that you would see in one, namely: Browser use Agents [...]

A New Player in Town: Google Antigravity2025-11-25T09:30:32+00:00

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