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AI Advancements

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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

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

AI-Driven Cloud Security at AWS re:Invent 2025

2025-12-26T11:28:51+00:00

Cloud computing continues to accelerate at a pace that traditional security models were never designed to support. Development teams now provision infrastructure in minutes, deploy services continuously, and scale applications automatically. However, security processes often lag behind this speed. In many organizations, security still enters the workflow after key architectural decisions are already finalized. As a result, teams spend more time fixing problems than preventing them. Although many organizations attempt to shift security earlier in development, the results are often disappointing. Security tools may run during build or deployment stages, yet they frequently lack the context required to provide meaningful [...]

AI-Driven Cloud Security at AWS re:Invent 20252025-12-26T11:28:51+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

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

Agentic AI in Applications: Turning Ideas into Autonomous Workflows

2025-08-29T13:53:44+00:00

AI Agents in Applications: Turning Ideas into Autonomous Workflows Artificial Intelligence has quickly advanced from basic chatbots to sophisticated generative models. But in 2025, a new era is unfolding: AI agents, also known as Agentic AI, that don’t just generate responses but act as autonomous digital teammates—capable of planning, executing, and completing tasks end-to-end. For students, developers, and IT professionals, understanding how Agentic AI works, and where it’s being applied, is key to preparing for the future of technology. What are AI Agents (Agentic AI)? Through its advanced design, Agentic AI is able to: Plan workflows independently. Seamlessly connect with [...]

Agentic AI in Applications: Turning Ideas into Autonomous Workflows2025-08-29T13:53:44+00:00

Agentic AI: Transforming Workflows and Careers in the Autonomous Era

2025-08-29T02:33:55+00:00

In today’s rapidly evolving world, artificial intelligence (AI) is more than just a tool. Agentic AI, in particular, is radically transforming how businesses operate, enabling systems to function with greater autonomy. As a result, these AI systems can handle workflows, make decisions, and learn from experience—all without requiring constant human input. Therefore, businesses can leverage Agentic AI to drive innovation, improve efficiency, and ultimately change how they operate. In this post, we will explore what Agentic AI is, how it works, and why it is crucial for the future of work. What is Agentic AI? This refers to artificial intelligence [...]

Agentic AI: Transforming Workflows and Careers in the Autonomous Era2025-08-29T02:33:55+00:00

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