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Most AI workflows follow the same loop: you upload files, ask a question, get an answer, and then everything resets. Nothing sticks. For large codebases or research collections, this becomes inefficient fast. Even when you revisit the same material, the model rereads it from scratch instead of building on prior context or insights. Andrej Karpathy highlighted this gap and proposed an LLM Wiki, a persistent knowledge layer that evolves with use. The idea quickly materialized as Graphify. In this article, we explore how this approach reshapes long-context AI workflows and what it unlocks next. What is Graphify? The Graphify system…

Image by Editor   # Introduction  Google NotebookLM has evolved far beyond a simple study aid. With the addition of the recent updates pushed just this year, it has transformed into a full-stack research, synthesis, and content production environment. For people regularly juggling complex sources, NotebookLM now bridges the gap between raw information and polished deliverables. If you are just generating basic summaries with NotebookLM, you are leaving an enormous amount of value on the table. The latest updates have dramatically reduced the friction required to refine outputs, integrate with enterprise workflows, and synthesize long-form technical material. Let’s break down five…

AI can feel like a maze sometimes. Everywhere you look, people on social media and in meetings are throwing around terms like LLMs, agents, and hallucinations as if it’s all obvious. But for most people, it just feels confusing.  The good news is, AI isn’t nearly as complicated as it sounds once you understand the few core ideas that actually matter. Here are the 10 AI concepts everyone should know about, ranked by what people are searching for and using daily. 1. Large Language Models (LLMs) This is the powerful engine behind tools like ChatGPT, Claude, and Gemini. An LLM…

Image by Editor   # Introduction  Working intensively with data in Python teaches all of us an important lesson: data cleaning usually doesn’t feel much like performing data science, but rather like acting as a digital janitor. Here’s what it takes in most use cases: loading a dataset, discovering many column names are messy, coming across missing values, and ending up with plenty of temporary data variables, only the last of them containing your final, clean dataset. Pyjanitor provides a cleaner approach to carry these steps out. This library can be used alongside the notion of method chaining to transform otherwise…

We already had a hint. AI would surpass most human capabilities someday. In the field of cybersecurity, that day arrived way too early, with the recent announcement of the Mythos Preview by Claude. The new AI model promises a level of coding skills that it is deemed to ‘surpass all but the most skilled humans at finding and exploiting software vulnerabilities.’ And this power is now going to be used in a new, ‘urgent’ initiative to secure cyberspace. All under the name of ‘Project Glasswing.’ Here is all about the latest effort by Anthropic and why it matters for just…

Over the last two years, most companies have explored generative AI in roughly the same way: they open ChatGPT, connect some data, and see what happens. As George Sivulka recently observed, “AI just made every individual 10x more productive. No company became 10x more valuable as a result.” The productivity is real. The organizational value isn’t (yet). The reason is that AI rarely delivers real value as a standalone tool inside an organization. The value appears when AI becomes an interface to the systems that already exist: the data, the reports, the workflows people depend on every day. That’s exactly…

Image by Editor   # Introduction  Most free courses provide surface-level theory and a certificate that is often forgotten within a week. Fortunately, Google and Kaggle have collaborated to offer a more substantive alternative. Their intensive five day generative AI (GenAI) course covers foundational models, embeddings, AI agents, domain-specific large language models (LLMs), and machine learning operations (MLOps) through a week of whitepapers, hands-on code labs, and live expert sessions. The second iteration of this program attracted over 280,000 signups and set a Guinness World Record for the largest virtual AI conference in a single week. All course materials are now…

Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google‘s Gemma 4 is here to change that! This guide walks through what Gemma 4 is, would explores its variants, and outlines the hardware needed for its performance. You’ll also see how to test your setup and build a Second Brain AI project powered by Google’s Gemma 4. We’ll also use Claude Code CLI to streamline development and integrate workflows. Understanding Gemma 4 Gemma is Google’s family of…

Image by Author   # Introduction  Excel remains relevant for data work, but a significant portion of the time spent using it is purely mechanical. Tasks like combining files from multiple sources, tracking down duplicate records, reformatting inconsistent exports, and splitting a master sheet into separate files are not complex, but they are time-consuming and prone to human error. These five Python scripts help automate those tasks. Each one is self-contained, configurable, and designed to work with messy real-world data. You can find all the scripts on GitHub.   # Merging Multiple Excel Files   // The Pain Point When consolidating data from…

Most AI tools rely on the internet, sending your prompts to remote servers for processing before returning results. This process has always been invisible to users. Google changes that with Gemma 4! Which if configured properly, runs directly on your phone, eliminating the need for constant connectivity. With a one-time download, everything runs locally on your device, keeping your data private. You can access it through Google AI Edge Gallery App. In this article, we explore how to use the app and what you can build with it without Internet, once it has bee configured locally on your device. What…