Posts

The Human Checkist Want to prove you’re not a machine? Easy. Forget polish. Forget elegance. Forget grammar. Here’s the new checklist for authentic human writing: Include at least one typo (preferably in the first line ;). Use a run-on sentence that wheezes and collapses halfway. Sprinkle punctuation like you’re seasoning a cheap steak. Congratulations. You’ve passed the humanity test. Robots need not apply. Why the Paranoia? We’re living in a time where teachers, employers, and strangers on the internet suspect every clean sentence of being auto-generated. Detection tools scan essays for “AI fingerprints.” Bosses double-check reports. Nothing says authentic human soul quite like misspelling “definitely” three different ways. ...

You tell ChatGPT something in the morning and by afternoon it’s forgotten. Is it lying, lazy, or limited? Spoiler: it’s limited — by design. The Goldfish Problem LLMs (large language models) aren’t “forgetful” in the human sense. They simply work with a limited sliding window of awareness. Once you’ve gone beyond it, earlier content disappears like the view in your rear-view mirror. In Kiwi terms, it’s like watching a rugby match but only remembering the last few plays, not the whole season. ...

Right now, we’re somewhere on the curve — maybe climbing towards a high, maybe coasting down the other side. Either way, the wave keeps moving. Life’s a sine wave — gentle rises, soft falls, and all the in-between stretches we barely notice. The highs feel brilliant, but they don’t last. The lows can feel endless, but they pass too. Most of our days happen between those extremes — in the quiet climbs, steady plateaus, and slow descents. ...

Enterprise Architecture (EA) has long been about the big picture—vision, strategy, and ensuring the technology landscape doesn’t collapse under the weight of its own complexity. Agile, on the other hand, is all about delivering value fast, embracing change, and avoiding big upfront designs. When these two worlds meet… sparks fly. Agile vs EA — The Friendly (Mostly) Tension From Agile’s perspective: “Why are we waiting for an architecture review when customers want this feature yesterday?” “We value working software over comprehensive documentation… remember?” From EA’s perspective: ...

In the world of AI, context isn’t just helpful—it’s everything. Whether it’s the billions of tokens in a language model’s attention mechanism, the rapidly shifting mosaic of user intent, or the structured metadata keeping facts grounded, context defines what AI can do. 1. A Foundation Built on Attention The 2017 paper “Attention Is All You Need” introduced the Transformer model, which revolutionized deep learning by letting models process all parts of a sequence in parallel using self-attention. No more recurrences—just powerful, context-aware computation. Since then, it’s become the backbone of modern models like GPT, BERT, and beyond. ...

Hello World Attention is All You Need “Attention is All You Need” - the paper that revolutionized artificial intelligence and gave birth to the transformer architecture that powers modern AI systems like GPT, BERT, and countless others. The Revolutionary Paper Published in 2017 by Vaswani et al., “Attention is All You Need” introduced the transformer architecture that would become the foundation of modern AI. This paper marked a paradigm shift from recurrent neural networks (RNNs) and convolutional neural networks (CNNs) to attention-based architectures. ...

Voice assistants are becoming more than gadgets in 2020 — they’re tools for everyday problem-solving. Over a weekend I built a quick Alexa skill, called Care, to see how voice and serverless tech could handle routine customer-care tasks. Alexa skills leverage machine learning (ML) and AI for natural language understanding (NLU), automated speech recognition (ASR), and text-to-speech (TTS) to interpret user voice commands and improve responses over time. The demo shows Alexa resuming a TV subscription, switching billing to email, and even scheduling a call with a human agent when needed. All of it runs on AWS Lambda, meaning no servers to manage and easy scaling. ...