This in-depth post explains how modern AI models can do step-by-step reasoning (or appear to) by using techniques like chain-of-thought, self-consistency, and tool use. We compare “reasoning-focused” models (advanced LLMs fine-tuned or prompted for reasoning) versus normal LLMs, with examples, code, and diagrams.
A leaked Anthropic draft suggests Claude Mythos, also known internally as Capybara, may be the company’s most powerful AI model yet — with major advances in coding, reasoning, and cybersecurity, but also serious safety concerns.
Claude Cowork isn’t another AI assistant. It’s an agentic AI that can read files, edit documents, and execute multi-step workflows on your computer. This deep dive explains why Anthropic’s Cowork triggered the so-called SaaSpocalypse, how it works technically, what jobs it threatens, and what new careers it creates.
Cybersecurity isn't just about firewalls. Sometimes, it's about being annoyed that your login is lagging. A deep dive into the Jia Tan operation.
A deep, no-shortcuts tutorial on diffusion models — forward noise, reverse sampling, UNets, and why predicting noise changed generative AI forever.
India’s AI boom is real — and teen developers are no longer spectators. This is a grounded, honest look at AI growth in India and how young builders are already shaping the future.
AI tools like Grok AI show how powerful image generation can be misused. This article explains the risks of AI deepfakes, why women are targeted, and how to protect privacy online.
A beginner-friendly but in-depth guide to building an AI model from scratch using PyTorch — no magic, no lies, just real understanding.