# The Context Window ## Deep dives into AI. Built for humans. Queryable by machines. > Source: https://tcw.theadityadutta.com > API: https://tcw.theadityadutta.com/api/v1/ > RSS: https://tcw.theadityadutta.com/feed.xml ## Topic Clusters - AI Agents: Autonomous AI systems that plan, act, and learn — architectures, tool use, and evaluation. (2 articles) - AI in Daily Life: How AI is reshaping personal computing, education, creativity, and the human experience. (1 articles) - LLM Architecture: How large language models work under the hood — transformers, scaling, reasoning, and beyond. (2 articles) - The Agentic Web: How the web is evolving for AI consumption — protocols, standards, and the machine-readable internet. (1 articles) ## Articles ### This Week in AI: What Actually Matters - URL: https://tcw.theadityadutta.com/signal-noise-2026-w12 - Type: signal-noise - Published: 2026-03-18T10:00:00Z - TL;DR: Claude 4 benchmarks are impressive but the real story is the pricing. Google's agent protocol proposal competes with MCP. OpenAI's memory API is now in beta. Ignore the 100 'AI wrapper' launches this week. ### The Architecture of Agentic Memory - URL: https://tcw.theadityadutta.com/the-architecture-of-agentic-memory - Type: deep-dive - Published: 2026-03-15T10:00:00Z - TL;DR: AI agents need three types of memory to be truly useful: working memory (current context), episodic memory (past experiences), and semantic memory (world knowledge). This article explores how each type maps to technical implementations and why getting memory right is the key unlock for production agents. ### The Context Window Arms Race: Why Bigger Isn't Always Better - URL: https://tcw.theadityadutta.com/context-window-scaling - Type: primer - Published: 2026-03-12T10:00:00Z - TL;DR: Context windows have grown from 4K to 1M+ tokens in two years. But bigger context doesn't mean better performance — attention dilution, cost scaling, and latency tradeoffs mean the optimal context size depends on the task. RAG often outperforms brute-force large context. ### What Is an AI Agent? A Rigorous Definition - URL: https://tcw.theadityadutta.com/what-is-an-ai-agent - Type: primer - Published: 2026-03-10T10:00:00Z - TL;DR: An AI agent is a system that uses an LLM to perceive, reason, plan, and act autonomously. Unlike chatbots, agents maintain goals across multiple steps, use tools, and adapt their approach based on feedback from the environment. ### The Agentic Web: Why the Internet Needs a Machine-Readable Layer - URL: https://tcw.theadityadutta.com/the-agentic-web - Type: deep-dive - Published: 2026-03-08T10:00:00Z - TL;DR: The web was built for human browsers. AI agents are the next primary consumer of online information, but the current web is hostile to machine consumption. The agentic web is an emerging set of protocols (MCP, llms.txt, structured APIs) that make content natively accessible to AI systems. ### The End of Apps: How AI Assistants Will Replace Your Home Screen - URL: https://tcw.theadityadutta.com/the-end-of-apps - Type: deep-dive - Published: 2026-03-05T10:00:00Z - TL;DR: The app model is breaking down. Instead of switching between 30 apps to get things done, AI assistants will orchestrate tasks across services on your behalf. This isn't science fiction — it's the trajectory of every major platform in 2026.