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Artificial intelligence
Evaluate where AI is useful, understand the systems behind it, and make informed choices about models, data, and deployment.
176 articles · Page 14 of 15
GPT-5.3-Codex: OpenAI's Agentic Code Model
OpenAI releases GPT-5.3-Codex with 77.3% on Terminal-Bench 2.0, an agentic coding model partially used in its own creation.
Emergent AI: When Models Surprise Creators
Why large AI models develop surprising capabilities like arithmetic and reasoning that smaller models lack. Emergent behaviors explained.
Foundations of Transformer Reasoning
A technical deep-dive into transformer architectures, attention mechanisms, scaling laws, and emerging techniques for reliable AI reasoning.
Prompt Engineering: Better Results From AI
Practical techniques for writing effective prompts that produce reliable AI outputs. Works across ChatGPT, Claude, Gemini, and other LLMs.
Taxonomy of AI: From ML to World Models
A map of AI systems — machine learning, deep learning, LLMs, multimodal models, and world models — with clear definitions and comparisons.
Why Bigger AI Models Work Better
The science behind AI scaling laws and chain-of-thought reasoning, without the PhD. Why larger models are smarter and how to use them.
Seven AI Mistakes That Sink Projects
Most AI initiatives fail due to predictable organizational and technical missteps, not bad technology. Here's how to avoid them.
Prompt Engineering Patterns for Production Systems
Learn 7 battle-tested prompt engineering patterns that reduce failures and improve reliability in production AI systems. Includes code examples.
Understanding Tokens and LLM Inference
Discover how LLMs process text through tokenization and inference. Essential knowledge for optimizing AI costs and prompt performance.
Designing RAG Pipelines for Production
Architecture patterns and implementation considerations for building retrieval-augmented generation systems that work reliably at scale.
Moltbot: The Viral Open-Source AI Assistant
Inside Moltbot, the self-hosted AI assistant that broke GitHub records. What it does, how it works, and the security trade-offs.
When AI Makes Sense (And When It Doesn't)
A practical framework for evaluating whether AI is the right solution for your business problem, or if simpler approaches would serve you better.