Anthropic

Lesson 3B: Capabilities & limitations | AI Fluency: Framework & Foundations Course

Lesson 3A: What is generative AI? (Deep Dive) | AI Fluency: Framework & Foundations Course

Lesson 2B: The 4D Framework | AI Fluency: Framework & Foundations Course

Lesson 2A: Why do we need AI Fluency? | AI Fluency: Framework & Foundations Course

Lesson 1: Introduction to AI Fluency | AI Fluency: Framework & Foundations Course |

How Cursor is building the future of AI coding with Claude

In this podcast episode, Alex from Anthropic hosts Lukas, Aman, and Jacob from Cursor to discuss how they are using Claude to build Cursor, focusing on the recursive feedback loop and the evolution of their product. They delve into the impact of model improvements, like 3.5 Sonnet, on Cursor's capabilities, particularl...

A conversation on Claude Code

In this interview, Alex Albert interviews Boris Cherny about Claude Code, an agentic coding tool designed to work universally across different terminals and IDEs. Boris explains the origins of Claude Code, its simple installation process via NPM, and its evolution, highlighting its internal success at Anthropic and the...

Building Blocks for Tomorrow’s AI Agents

Mastering Claude Code in 30 minutes

Boris Cherny, a member of technical staff at Anthropic and the creator of Claude Code, shares practical tips and tricks for using Claude Code, an AI assistant designed for building features, writing entire functions, and fixing bugs. He recommends starting with code-based Q&A to familiarize users with its capabilities,...

Taking Claude to the Next Level

Code with Claude Opening Keynote

A day with Claude

The Societal Impacts of AI

Lessons on AI agents from Claude Plays Pokemon

Could AI models be conscious?

The podcast explores the question of whether AI models could potentially have some level of consciousness. Kyle Fish from Anthropic discusses the possibility of AI systems having experiences of their own and deserving moral consideration. The conversation covers leading theories of consciousness and indicator propertie...

Controlling powerful AI

The Anthropic Roundtable discusses AI control, an approach to mitigating AI misalignment by ensuring that even if a model has undesirable goals, it cannot cause harm. The panel explores evaluations of AI models in business settings, where models deliberately mislead humans, revealing a strong human bias toward trusting...

Defending against AI jailbreaks

The podcast explores constitutional classifiers as a novel method for mitigating jailbreaks in AI models, particularly concerning universal jailbreaks that could enable non-experts to extract harmful information. The panel defines jailbreaks as bypassing safeguards to elicit harmful responses from AI models, emphasizin...

Introducing Claude Code

Tips for building AI agents

This podcast discusses the differences between AI workflows and agents, clarifying that agents allow LLMs to autonomously determine the steps needed to complete a task, unlike pre-defined workflows. The hosts and guests share anecdotes from their experiences building agents, highlighting the importance of empathetic p...

How difficult is AI alignment? | Anthropic Research Salon

This episode explores the multifaceted challenges and approaches to AI alignment, specifically focusing on how to ensure large language models (LLMs) behave ethically and safely. Against the backdrop of ongoing research at Anthropic, the discussion centers on three key perspectives: fine-tuning models to emulate the ...