#LLMs

DeepSeek-R1 vs OpenAI o3: Test-Time Compute & Reinforcement Learning (2026)

Claude Fable 5 & Sonnet 5: Architectural Expectations and Agentic Breakthroughs

Explore what is coming next in Anthropic's flagship LLM models. We examine expected token speeds, agentic desktop loops, and deep-think reasoning improvements.

Reasoning Models vs Fast Models: Choosing the Right Latency/Accuracy Tradeoff

Reasoning models think longer and get more right. Fast models answer instantly and get most things right, most of the time. Here's how I decide which one belongs in a given code path.

Semantic Web 2.0: LLMs Have Fulfilled the Prophecy in 2026

The dream of Tim Berners-Lee is finally alive. Explore how LLMs and knowledge graphs have turned the unstructured web into a worldwide database in 2026.

The Rise of AI Agents: Building Autonomous Workflows with LangGraph

Chatbots are dead. Long live Agents. In this 4,500-word deep dive, we explore the shift from 'RAG' to 'Agentic Workflows'. Learn how to build self-correcting, tool-using, and stateful AI agents using LangGraph and Next.js.

ARC-AGI-2 & The Frontier Reasoning Wars in 2026: Why Memorization Fails on François Chollet's Abstract Benchmark