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News
Phase 2 of AI: When Intelligence Starts Scaling Itself
20+ min ago (1541+ words) The first phase of AI was about building intelligence. The second is about what happens when intelligence becomes part of the mechanism that scales intelligence. For the last few years, the AI story has been remarkably simple. Build more data…...
Where LLMs Break on Data: Dates, Joins, and the Illusion of Understanding
1+ hour, 49+ min ago (1436+ words) Almost everyone who builds on top of a language model hits the same wall eventually. You ask it something that looks trivial …...
Time Series Demystified Part 7
6+ hour, 50+ min ago (1264+ words) Beyond ARIMA; How STL Decomposition Handles What Classic Models Miss When I started my flu forecasting project, I did what most analysts do first. I tried ARIMA. It’s …...
Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All
8+ hour, 51+ min ago (595+ words) Every part of this series so far assumed some reward signal exists — handed directly by the environment in Parts 1 through 5 and 8 through…Continue reading on Medium » Reinforcement Learning, Part 14: Imitation Learning — When There’s No Reward Signal at All Every part…...
Everyone talks about GAN(Generative Adversarial Network), but no one explains why we use it
9+ hour, 52+ min ago (403+ words) Everyone talks about GAN, but no one explains why we use it I’m studying this right now, so let me share how I’m understanding it. GAN stands for Generative Adversarial Network. It is basically …...
How I’d Learn LLMs in 2026: The Roadmap I Wish I Had as a Beginner
14+ hour, 47+ min ago (5+ words) “” is published by Yorn Rothy....
Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks
1+ day, 4+ hour ago (263+ words) This article opens up that layer. Compaction, memory strategy, context budgeting, and todo-state are the machinery that turns a shallow loop into a deep agent. We look at how LangChain Deep Agents, Claude Code, Manus, OpenAI Codex, and Amazon Bedrock…...
From Monolith to Modular: A Curated Guide to Blogging About Modern LLM Architectures The Fusion…
1+ day, 1+ hour ago (10+ words) Continue reading on Medium » From Monolith to Modular: A Curated...
The Accuracy Paradox: Why Your Deep Learning Model Lies to You (and How to Fix It)
1+ day, 7+ hour ago (222+ words) Imagine building an AI system that boasts an impressive 77.16% mean accuracy. You pull the trigger, deploy it to a production pipeline, and confidently assume it’s filtering out junk while surfacing…...