Plain-English explainers on model families, capabilities, tradeoffs, and access.
Open source and closed are used constantly in AI discussions, but they mean something more specific than most people realize. The core questions: who holds the model file, who sees your data, and what you are actually permitted to do with the output.
Anthropic's Claude comes in multiple tiers: Haiku, Sonnet, Opus, and the restricted Mythos Preview. Each tier is built for a different mix of speed, cost, capability, and risk.
What are large language models actually doing when they respond to you? This plain-language explainer covers how LLMs work, why they make mistakes, and what that means for using them effectively.