Series: AI Learnings
Artificial Intelligence is now a daily conversation topic and is in everyone’s mind one way or another. The learning can be simple or steep and complex depending on where you want to take it.
Here is a list of blog posts that I have written on this topic as I learn and try to keep up with this amazing technology landscape which is changing every day. Simply amazing.
Quick Links: Resources for Learning AI | Keep up with AI | List of AI Tools | Local AI | AI Agents | Future of Work
Related Blog Posts on AI
Understanding the Fable 5 Situation: AI Jailbreaking
The Fable 5 situation represents a significant moment in the ongoing discourse around AI safety and vulnerabilities. Beyond highlighting the challenges of preventing sophisticated jailbreaks, it intensified discussions among AI developers, security researchers, and policymakers about balancing powerful AI capabilities with effective safeguards. I needed to understand this move, so I researched it a bit…
The Fable 5 Situation
The “Fable 5 Incident” refers to a major, unprecedented national security intervention by the US government that forced AI lab Anthropic to abruptly pull its most advanced artificial intelligence models, Claude Fable 5 and Claude Mythos 5, from public and commercial access. The event marked the first time a Western government directly intervened to shut…
Why the Best AI Isn’t One Giant Brain—It’s a Team of Specialists
When most of us think about Artificial Intelligence, we picture a single, all-knowing brain. We type a question into a chatbot, and a massive, incredibly smart engine spits out an answer. It’s easy to assume that the secret to a great AI application is simply finding the biggest, smartest, most powerful AI model on the…
Unlocking the NPU: FastFlowLM
How I Bypassed Ollama and LM studio Limitations on my Ryzen AI NPU to Hit 50+ TPS If you recently purchased a modern AI-PC, you bought into a promising vision: a dedicated, cutting-edge Neural Processing Unit (NPU) sitting right inside your silicon, designed to stream large language models (LLMs) smoothly without draining your battery or…
Small Local Models: Why Tiny AI Is Having a Big Moment
The narrative around artificial intelligence has long been dominated by bigger equals better. Models with trillions of parameters, trained on internet-scale datasets, powered by massive GPU clusters—these were the benchmarks of progress. But something interesting is happening at the other end of the spectrum. Small models—measured in billions, not trillions of parameters—are proving they can…
GLM 5.1: Why This Open Source AI Release Changes the Agent Game
Exploring GLM 5.1, the new open-source frontier AI model from Z.AI that challenges proprietary systems with 1,700-step autonomous agent capabilities.
Claude What Changed and What It Means
Did Anthropic just send a warning shot to all Agent builders? Impacts to OpenRouter, Cursor, Agent Zero, and OpenClaw For a while, many people used Claude models through third-party tools as if a normal subscription was enough to power everything. That is changing fast. Anthropic has now clarified that Claude subscription access is meant for…
What Are Foundational AI Models and Why They Matter
ALthough not much has changed, I am revisiting this topic ( Original 2024 post: What are LLMS ) as it has been a while, players and concepts are clearer now, Hope this helps! What Exactly Is a Foundational Model? A foundational model is a powerful, general-purpose system trained on enormous amounts of information, designed to…
Understanding LLM Mixture of Experts (MoE)
When you hear about the latest large language models (LLMs)—like GPT-4, Claude, or Gemini—it’s easy to feel overwhelmed by their sheer scale. These models contain billions, sometimes trillions, of parameters. This incredible size is what gives them their broad capabilities—from writing code and summarizing texts to answering complex questions and creating poetry. But that scale…