What is Anthropic? Guide to Claude Models and AI Safety

Anthropic is an American artificial intelligence research and safety company founded in 2021 by former OpenAI researchers, including siblings Dario and Daniela Amodei. Headquartered in San Francisco, California, Anthropic is structured as a Public Benefit Corporation and is best known for creating the Claude family of large language models. The company prioritizes AI alignment and safety through its proprietary training methodology called Constitutional AI.

What is the history and mission of Anthropic?

Anthropic was established in 2021 after Dario Amodei, OpenAI’s former Vice President of Research, and Daniela Amodei, former VP of Safety and Policy, departed OpenAI alongside five other senior staff members. The team founded Anthropic to build trustworthy, steerable, and interpretable AI systems amid growing concerns regarding AI safety and rapid commercialization.

To align commercial growth with safety, Anthropic structured itself as a Public Benefit Corporation (PBC) in Delaware. Furthermore, in 2023, the company introduced a Long-Term Benefit Trust—an independent governance body holding a special class of stock. This trust possesses the legal authority to appoint and remove board members, ensuring Anthropic stays aligned with its mission to develop AI that benefits humanity safely, even under pressure from private investors. Key financial backers include Amazon, which invested $4 billion in 2023 and 2024, and Google, which committed over $2 billion.

How does Anthropic’s Constitutional AI technology work?

Constitutional AI is Anthropic’s signature technical framework designed to align artificial intelligence systems with human values without relying entirely on human feedback. Traditional alignment relies heavily on Reinforcement Learning from Human Feedback (RLHF), which can be labor-intensive and introduce subjective human biases.

In contrast, Anthropic’s method, Reinforcement Learning from AI Feedback (RLAIF), uses a written set of principles—a “constitution”—to guide model behavior. This constitution combines guidelines from international human rights declarations, terms of service from technology companies, and core ethical principles. The training process operates in two primary phases:

• Supervised Learning Phase: The model generates responses to prompts, evaluates its own outputs against the constitution, and rewrites responses to fix violations.
• Reinforcement Learning Phase: A separate preference model evaluates candidate responses based on constitutional principles, generating feedback to fine-tune the primary language model automatically.

This technique allows Claude models to remain helpful while refusing harmful requests without becoming overly evasive.

What is the Claude model family?

Anthropic’s flagship product line is Claude, a family of large language models designed for text generation, code analysis, image processing, and task automation. Anthropic released Claude 1 in March 2023, followed by Claude 2 in July 2023, which expanded context processing capacity to 100,000 tokens.

In March 2024, Anthropic introduced the Claude 3 model family, structured into three distinct tiers based on intelligence, speed, and computational cost. In June 2024, the company released Claude 3.5 Sonnet, which outperformed previous benchmarks in coding, reasoning, and visual recognition.

What is Anthropic’s Computer Use capability?

In October 2024, Anthropic announced a major technological milestone by releasing a public beta of “Computer Use” with an updated Claude 3.5 Sonnet model. This capability allows the AI model to interact directly with computer desktop interfaces in a manner similar to human users.

Through API access, Claude can view a computer screen, move the cursor, click buttons, type text, and navigate software applications. Rather than relying solely on background API integrations, Claude interprets screen pixels visually and executes multi-step graphical user interface (GUI) tasks. This innovation enables automated software testing, web research, complex data entry, and multi-app administrative workflows.

How does Anthropic ensure safety and regulatory compliance?

Safety research remains Anthropic’s central operational pillar. Beyond Constitutional AI, the company conducts research on AI interpretability—a domain focused on understanding the internal neural network mechanics of large language models. In 2023 and 2024, Anthropic published breakthrough research demonstrating how “dictionary learning” and feature extraction can map millions of internal concepts inside Claude’s neural networks.

Anthropic actively collaborates with national regulatory agencies, including the United States AI Safety Institute (US AISI) and the United Kingdom AI Safety Institute (UK AISI). The company shares pre-deployment model builds with these organizations to conduct rigorous red-teaming, safety evaluations, and cyber threat assessments before public releases.

How does Anthropic compare to major industry competitors?

While OpenAI focuses heavily on consumer platforms and multimodal generative media, Anthropic concentrates on enterprise integration, high-precision coding, and complex document processing. Anthropic’s models emphasize rigorous safety guardrails, low hallucination rates, and large context windows capable of processing up to 200,000 tokens (approximately 150,000 words) in a single prompt.

Supported by major cloud infrastructure partnerships with Amazon Web Services (AWS) and Google Cloud, Anthropic delivers enterprise-grade data privacy. By default, customer data submitted through Anthropic’s commercial API is not used to train future generative AI models, addressing major corporate compliance requirements.

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What is Anthropic’s Responsible Scaling Policy (RSP)?

To systematically manage potential risks associated with increasingly powerful frontier models, Anthropic developed its flagship safety framework known as the Responsible Scaling Policy (RSP). Inspired by biological safety level (BSL) classifications used in research laboratories, the RSP defines a structured hierarchy

Frequently Asked Questions

Who owns Anthropic?

Anthropic is a privately held Public Benefit Corporation. Major corporate investors include Amazon, which invested $4 billion, and Google, which committed over $2 billion. Independent oversight is provided by Anthropic's Long-Term Benefit Trust to protect its public safety mandate.

What is the difference between Anthropic's Claude and OpenAI's ChatGPT?

Claude is developed by Anthropic using Constitutional AI, emphasizing long-context analysis (200,000 tokens), coding accuracy, and enterprise safety. ChatGPT is developed by OpenAI and offers broader consumer features like custom plugins, voice interaction, and native DALL-E image generation.

How does Anthropic train its AI models?

Anthropic uses Constitutional AI, combining standard pre-training with Reinforcement Learning from AI Feedback (RLAIF). Models automatically evaluate and revise their responses against a set of written constitutional principles, ensuring helpfulness and reducing reliance on manual human moderation.

What is Anthropic's Computer Use feature?

Introduced in October 2024 for Claude 3.5 Sonnet, Computer Use allows Claude to visually interpret computer screens, move mouse cursors, click buttons, and type text via an API, enabling automated execution of complex desktop software tasks.