Anthropic
AI safety company that builds Claude, a large language model focused on being helpful, honest, and harmless with strong reasoning capabilities.
What is Anthropic?
Anthropic is an AI safety company that builds Claude, a large language model that competes with GPT-4 and Gemini.
Founded in 2021 by former OpenAI researchers Dario and Daniela Amodei, the company focuses on Constitutional AI - training models to be helpful, honest, and harmless through explicit principles rather than just human feedback.
Most builders use Claude through the web interface at Claude.ai, the API, or tools like Cursor. Claude 3.5 Sonnet (their latest model) is particularly strong at coding, analysis, and following complex instructions. It has a 200K token context window, which means it can process entire codebases or long documents in one go.
The API uses usage-based pricing. Free tier available at Claude.ai with message limits. Pro plan is $20/month for higher limits.
Good to Know
Founded by former OpenAI safety researchers in 2021
Claude 3.5 Sonnet has a 200K token context window for processing large documents
Uses Constitutional AI approach - training models with explicit principles
Backed by Google, Salesforce, and other major investors
Strong at coding tasks, especially through tools like Cursor
How Vibe Coders Use Anthropic
Building features with Claude's API when you need strong reasoning over large contexts
Analyzing entire codebases to understand legacy projects or plan refactors
Processing long documents like legal contracts or research papers in one prompt
Using Claude through Cursor for AI-assisted coding with better context awareness
Frequently Asked Questions
Related Terms
The amount of text an AI model can remember and process at once, measured in tokens. Bigger windows mean longer conversations and documents.
Anthropic's command-line AI assistant that lives in your terminal, reads your codebase, and writes code across multiple files.
Autonomous software that observes, decides, and acts to complete tasks without constant human input, using LLMs as their decision-making brain.
Anthropic's most capable AI model, built for complex coding, autonomous agents, and multi-step reasoning tasks.
A set of rules that lets different software programs talk to each other and share data or functionality.
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