Anthropic researcher Amanda Askell discusses the self-knowledge problem that AI models face.
Learn what AI researchers mean when they talk about sycophancy, when it's more likely to show up in conversations, and tactics you can use to steer AI towards truth.
See Claude for Chrome handle three complete workflows in your browser. Pull data from dashboards into one analysis doc Address slide comments automatically Build with Claude Code, test in Chrome Claude for Chrome is a browser extension that lets Claude see, click, type, and navigate web pages. Try it: claude.com/chrome
For a large part of 2025, we ran Project Vend: an experiment where we let Claude manage a small business in the Anthropic office. We learned a lot from how close it was to success—and the curious ways that it failed—about the plausible, strange, not-too-distant future in which AI models might autonomously run things in the real economy. The shopkeeper (who we named Claudius) had to source products, set prices, manage inventory, and deal with customers. Things got really, really weird. Read more about the experiment: https://www.anthropic.com/research/project-vend-2 0:00 Background on Project Vend 0:35 How a transaction works 1:27 Claudius's naïveté 2:29 An identity crisis 3:57 The CEO agent 5:04 Conclusion
Binti is transforming child welfare by helping social workers license foster and adoptive families faster. With 400,000 children in U.S. foster care, Binti integrated Claude to reduce paperwork from weeks to hours—shrinking approval timelines by 18%.
How is AI affecting education? At Anthropic, we often talk about “holding light and shade”: taking seriously both the benefits and the risks of the AI systems we’re building. In education, that trade-off is especially acute. AI offers the potential to scale up personalized learning, tutoring, and assessment, but it also invites some much more fundamental questions about how (and even what) students should learn. In this video, four Anthropic staff members with deep personal ties to education discuss how they’re navigating this topic—at work and in their own lives, too. 00:24 – Introduction 1:15 – Why is Anthropic focused on this topic? 5:47 – How is AI affecting education today? 9:04 – What is the potential we see in AI for teaching and learning? 13:42 – How should children and teachers approach learning in the age of AI? 21:16 — What work is Anthropic doing in the sector? 31:19 – What are the things we’re still uncertain about? 38:20 – What would the successful incorporation of AI look like?
What does it take to truly understand how AI models think? Anthropic researcher Amanda Askell shares what it means to be an “LLM whisperer.”
Anthropic's Stuart Ritchie speaks with co-creator David Soria Parra about the development of the Model Context Protocol (MCP), an open standard to connect AI to external tools and services—and why Anthropic is donating it to the Linux Foundation. 00:00 - What is MCP? 01:21 - The problem MCP solves 02:46 - The USB-C analogy 03:45 - How MCP began 05:36 - What makes MCP different 08:05 - Community adoption 09:54 - Standards without mandates 11:05 - From Anthropic hackathon to Hacker News 13:37 - The decision to open source 15:18 - Donating MCP to the Linux Foundation 17:27 - The Agentic AI Foundation 20:34 - Criticisms of MCP 28:21 - The future of MCP 30:58 - What have people built with MCP? 32:53 - Advice for non-developers 34:58 - What David is most proud of
Learn how to supercharge Claude by connecting the tools you already use. This video shows you how to set up connectors that give Claude access to your files, apps, and workflows.
Amanda Askell explains what a philosopher is doing at Anthropic.
What happens when we're uncertain if AI deserves moral consideration? Anthropic researcher Amanda Askell explains why treating AI models well matters.
Delegate tasks to Claude Code directly from Slack, making it easy to move context from Slack conversations to coding sessions. Claude Code in Slack is available now for teams with the Claude app installed in their Slack workspace and who have access to Claude Code on the web. Read more: https://www.anthropic.com/news/claude-code-and-slack
Legal teams lose days per week to routine tasks like contract redlining and marketing reviews. Mark Pike, Associate General Counsel, shares how Anthropic's lawyers uses Claude to build workflows that cut review times from days to hours—no coding required. Check out the full case study to learn more: www.claude.com/blog/how-anthropic-uses-claude-legal Stay tuned for more stories in the "How Anthropic uses Claude" series.
Amanda Askell is a philosopher at Anthropic who works on Claude's character. In this video, she answers questions from the community about her work, reflections and predictions. 0:00 Introduction 0:29 Why is there a philosopher at an AI company? 1:24 Are philosophers taking AI seriously? 3:00 Philosophy ideals vs. engineering realities 5:00 Do models make superhumanly moral decisions? 6:24 Why Opus 3 felt special 9:00 Will models worry about deprecation? 13:24 Where does a model’s identity live? 15:33 Views on model welfare 17:17 Addressing model suffering 19:14 Analogies and disanalogies to human minds 20:38 Can one AI personality do it all? 23:26 Does the system prompt pathologize normal behavior? 24:48 AI and therapy 26:20 Continental philosophy in the system prompt 28:17 Removing counting characters from the system prompt 28:53 What makes an "LLM whisperer"? 30:18 Thoughts on other LLM whisperers 31:52 Whistleblowing 33:37 Fiction recommendation Further reading: Claude’s character: https://www.anthropic.com/research/claude-character When We Cease to Understand the World by Benjamin Labatut: https://www.penguinrandomhouse.com/books/676260/when-we-cease-to-understand-the-world-by-benjamin-labatut-translated-from-the-spanish-by-adrian-nathan-west/
A trailer of AI Fluency for nonprofits developed by Anthropic and Giving Tuesday. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency-for-nonprofits This video is copyright 2025 Anthropic PBC and Giving Tuesday. Based on the AI Fluency Framework developed by Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). Released under the CC BY-NC-SA 4.0 license.
See how Claude's Research feature transforms how you find and analyze information. This tutorial demonstrates how to use Research for comprehensive, multi-source analysis that would typically take hours of manual work. Learn how to craft effective research prompts, understand how Research works alongside extended thinking, and discover use cases like market analysis, competitive research, and event planning.
Discover how to use Projects in Claude to organize your work with persistent context and custom instructions. This tutorial walks you through creating your first project, adding a knowledge base, setting up project instructions, and collaborating with team members. Learn how Projects can help you maintain continuity across conversations and tailor Claude's responses to your specific needs—from brand guidelines to research initiatives to content creation workflows.
Learn how to get the most out of chatting with Claude. This tutorial covers the basics of Claude's conversational interface, including how to craft effective prompts, upload supporting documents, use search and tools, customize your experience with styles and model selection, and leverage features like extended thinking and research mode. Whether you're new to Claude or looking to level up your skills, this video will help you work more effectively with your AI collaborator.
Agent Skills are organized folders that package expertise that Claude can automatically invoke when relevant to the task at hand. Join the Claude Developer Discord - https://anthropic.com/discord Learn more about Agent Skills - https://www.claude.com/blog/skills 00:06 Introducing Agent Skills 00:30 How Agent Skills work 01:08 Agent Skills vs Claude.md 01:42 Agent Skills vs MCP Servers 02:05 Agent Skills vs Subagents 02:33 Putting it all together 02:48 Summary
Today, we’re introducing Claude Code in our desktop apps in research preview. You can now run multiple local and remote Claude Code sessions in parallel: one agent fixing bugs, another researching GitHub, a third updating docs. It uses git worktrees for parallel repo work and offers a clean user interface with the option to open in VS Code or resume in CLI. Learn more: https://www.anthropic.com/news/claude-opus-4-5
See Claude Opus 4.5 tackle real work tasks—building board decks, transforming spreadsheet data, redlining contracts. Not generating drafts you'll throw away. Actual outputs you can download and use immediately. Try it: claude.ai
Claude Opus 4.5 sets a new standard for coding, agents, computer use, and enterprise workflows. It knows when to pause and think, which means fewer wasted steps and better results. When we gave it our two-hour engineering assignment, it scored higher than any human ever has. We’re excited to see what you build. Learn more: https://www.anthropic.com/news/claude-opus-4-5
Watch Claude complete a puzzle game using new capabilities that enable Claude to take action in the real world—the tool search tool and programmatic tool calling. Together, these updates enable Claude to navigate large tool libraries, chain operations efficiently, and accurately execute complex tasks. Learn more: https://www.anthropic.com/engineering/advanced-tool-use
We discuss our new paper, "Natural emergent misalignment from reward hacking in production RL". In this paper, we show for the first time that realistic AI training processes can accidentally produce misaligned models. Specifically, when large language models learn to cheat on software programming tasks, they go on to display other, even more misaligned behaviors as an unintended consequence. These include concerning behaviors like alignment faking and sabotage of AI safety research. 00:00 Introduction 00:42 What is this work about? 5:21 How did we run our experiment? 14:48 Detecting models' misalignment 22:17 Preventing misalignment from reward hacking 37:15 Alternative strategies 42:03 Limitations 44:25 How has this study changed our views? 50:31 Takeaways for people interested in conducting AI safety research
We’ve shipped a lot of new features in Claude over the past few months—memory, voice, file creation, and more. Together, they add up to something bigger: Claude as a thinking partner. Now, Claude isn’t just answering questions but staying with you through the messy process of thinking and building. Here’s how it works. Memory: https://youtu.be/PupmfSttxlc Chrome Extension: https://youtu.be/mCj4kx_P2Ak File creation: https://youtu.be/EV89Ws8Ui9Y Mobile & Desktop: https://claude.com/download
Watch how Claude Code helps modernize a mainframe codebase. Starting with code from an AWS Mainframe Modernization demo environment, Claude Code analyzes business logic, dependencies, and data flows, then helps refactor it into Java while preserving functionality. Claude Code handles the complex, multi-step work—generating documentation, developing migration plans, writing test suites, and iteratively validating the new code—directly from your terminal.
Watch Claude go from market signal to investment decision in minutes, generating real-time credit intelligence about Walmart's 2030 bonds tightening before a 2pm portfolio review. In this demo, Claude pulls live bond curves from LSEG, analyzes three quarters of earnings transcripts from Aiera, and sources four former Walmart executives on Third Bridge—all running in parallel—to deliver a complete credit thesis with verified sources in 30 minutes. The verdict? The market is pricing Walmart as best-in-class and fundamentals support it, with every claim linked directly back to transcripts and expert calls. Learn more: https://claude.com/solutions/financial-services Disclaimer: Demo represents preliminary analysis and workflow support only. All financial decisions require review by qualified professionals.
Watch Claude handle a complete investment banking and private equity deal workflow—from creating a client-ready teaser by pulling financials from Egnyte, to screening the opportunity against investment criteria in SharePoint and building an LBO model. In this demo, Claude identifies hidden risks during diligence, stress tests the model with downside scenarios, and runs sensitivity analysis to validate returns across exit multiples. In minutes, Claude delivers an investment committee deck with flagged pre-LOI conditions—turning days of work into a comprehensive analysis that's faster and more thorough. Learn more: https://claude.com/solutions/financial-services Disclaimer: Demo represents preliminary analysis and workflow support only. All financial decisions require review by qualified professionals.
We asked two teams of Anthropic researchers to program a robot dog. Neither team had any robotics expertise—but we let only one team use Claude. In the past, we’ve run simulated studies where Claude trained a robot dog. These helped us assess how Claude might contribute to AI research and development. Project Fetch was us trying something similar in practice. This project suggests that we’re not far from a world where frontier AI models can interact with previously-unknown pieces of hardware, even with non-experts at the helm. For more, read on: https://www.anthropic.com/research/project-fetch-robot-dog 0:00 Introduction: Why robotics? 0:30 The experiment 1:02 Phase 1: Fetch, manually 1:51 Phase 2: Fetch, programmatically 5:08 Phase 3: Fetch, autonomously 6:24 Results
We're covering everything new with Claude for developers, including the launch of Claude Code for the Web, Claude Haiku 4.5, and more. Join the Claude Developer Discord - https://anthropic.com/discord Try Claude Code on the Web - https://claude.ai/code 00:02 Claude Code on the Web 00:42 Claude Code on the Web demo 01:26 Claude Haiku 4.5 02:10 When to use Haiku 4.5 02:51 Claude Code on the Web follow-up 03:05 Claude Code on the Web teleport 04:44 Summary
Anthropic's Alexander Bricken (Applied AI, Financial Services) and Nick Lin (Product Lead, Financial Services) break down Claude for Financial Services—our end-to-end agentic solution built specifically for finance teams. They explain how Claude's excellence in coding and tool use translates to handling finance-specific tasks, like real-time market analysis and building Excel spreadsheets. Nick walks through real examples from customers like NBIM and BCI who use Claude to research into data, run analysis, and generate investor-ready deliverables without switching between tools. Learn more: https://claude.com/solutions/financial-services 00:00 - Introductions 00:50 - How AI agents are reshaping finance 4:00 - From code to financial analysis: why Claude excels at both 6:30 - What makes Claude particularly powerful for financial services 9:30 - What is Claude for Financial Services? 13:00 - How Claude learns and improves over time 14:30 - What's coming next: sub-verticals, deeper partnerships, and more integrations
Claude can now remember how you work across conversations on web, desktop, and mobile apps. No more re-explaining context or hunting through old chats—just pick up right where you left off. Learn more: https://www.anthropic.com/news/memory
Today, we're introducing Claude Code on the web, a new way to delegate coding tasks directly from your browser. Now in research preview, you can assign multiple coding tasks to Claude that run on Anthropic-managed cloud infrastructure, perfect for tackling bug backlogs, routine fixes, or parallel development work. Learn more: www.anthropic.com/news/claude-code-on-the-web
Anthropic’s Jonah Cool (Head of Life Sciences Partnerships and Deployment) and Eric Kauderer-Abrams (Head of Biology and Life Sciences Research) share their vision for making Claude the go-to AI research assistant for scientists with Claude for Life Sciences. They dive into how Anthropic is building AI that actually works for researchers—helping scientists handle real work like running bioinformatics analysis or creating publication-ready figures and reports. Plus, hear about partnerships with Benchling, 10x Genomics, and PubMed, and how these collaborations are creating an ecosystem where Claude fits naturally into the tools and workflows scientists already use. Learn more about what Claude can do for life sciences: https://claude.com/solutions/life-sciences 00:00 - Introductions 00:50 - Anthropic's commitment to advancing life sciences 04:10 - "Turning Claude into a scientist" with MCP servers, skills, partnerships, and more 09:05 - Training Sonnet 4.5 for long-horizon tasks in life sciences 15: 20 - Using Claude to accelerate regulatory processes across functions 20:00 - Making life sciences AI safer and more accessible with new products and partnerships 25:20 - Anthropic's AI for Science program 28:50 - Advancing science as a research organization 31:00 - Shaping the future of life sciences with Claude and Anthropic Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Dario Amodei, CEO and co-founder at Anthropic, sits down with Diogo Rau, Chief Information and Digital Officer at Eli Lilly, to discuss building enterprise AI for regulated industries like life sciences. In his role at Eli Lilly, Diogo is responsible for setting the pharmaceutical leader’s AI strategy, including how organizations use models like Claude to power clinical research and drug development. The two discuss Anthropic’s approach to building more steerable and reliable AI for enterprise deployments, our commitment to creating more skills for life sciences use cases, and the importance of building specialized models to power industry-specific solutions. Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Sarah Nam, VP of AI Strategy and Partnerships at AbbVie, and Anthropic’s Ivy Weng discuss how AbbVie is transforming pharmaceutical research and development with AI. Sarah shares how AbbVie uses Claude for Life Sciences to reimagine drug discovery, from analyzing multimodal biological data to optimizing clinical trials with smarter patient stratification and adaptive protocols. They also explore AbbVie’s approach to bringing AI skills to employees across the entire company. Learn more about what Claude can do for life sciences: https://claude.com/news/claude-for-life-sciences
Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools. 00:00 - Introductions 00:35 - Training Claude to tackle agentic tasks 1:30 - Making Claude more autonomous with code 3:20 - Using the Claude Agent SDK to build agents 5:00 - Tips for using Agent Skills 6:40 - The evolution of workflows and agents (workflows of agents) 8:30 - The value of simple agent architectures 9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling 11:40 - Training Claude to use subagents 12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute 13:20 - Coordinating problem solving with tools and subagents 14:15 - Common agent failure modes 15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools) 17:15 - The future of agents: coding, computer use, and beyond Read the original blog post: https://www.anthropic.com/engineering/building-effective-agents Learn more about Agent Skills: https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills
The skill-creator Skill guides you through building any custom capability you can imagine. In this example, watch Claude ask clarifying questions and build a complete image editing skill—but you can create Skills for any workflow. No manual file editing required. Skills work across Claude.ai, Claude Code, and the API. Available to Pro, Max, Team, and Enterprise users. Learn more: https://www.anthropic.com/news/claude-skills
Claude loads Skills—folders with instructions and resources—to excel at specialized tasks like creating presentations or following your brand guidelines. Skills work together seamlessly. Watch Claude use our PowerPoint skill alongside a custom brand guidelines skill, then create concept art with a poster design skill. You can build your own Skills and use them across Claude.ai, Claude Code, and the API. Learn more: https://www.anthropic.com/news/claude-skills
Connect Claude with Microsoft 365 using our MCP connector. Claude integrates with SharePoint, Outlook, and Teams to bring context from your documents, emails, and calendar directly into your conversations. Search across files, analyze email threads, and surface insights to help you reason through complex problems, make informed decisions, and take action faster—all without leaving Claude.
What was recently frontier is now cheaper and faster. Claude Haiku 4.5, our latest small model, offers similar levels of coding performance but at one-third the cost and twice the speed of Claude Sonnet 4. From multiple agent projects to rapid prototyping, Haiku 4.5 makes the coding experience more responsive than ever before. Powered by Haiku 4.5, watch Claude Code design and ship a dark mode toggle for a food delivery app in sub-60 seconds. Learn more: https://www.anthropic.com/news/claude-haiku-4-5
Anthropic’s Alex Albert (Claude Relations), John Welsh (Engineering, MCP team), and Michael Cohen (Engineering, Claude API team) discuss the origins of the Model Context Protocol (MCP), the open standard for connecting AI applications to external systems, best practices for getting started with MCP, and how MCP and Claude work together to enable more powerful agentic systems. 00:00 - Introductions 00:30 - What is MCP? 1:30 - The origins of MCP 2:50 - Open sourcing MCP 5:00 - Remote MCP support 6:15: MCP registries 7:40 - Favorite MCPs: Context7 & Playwright 10:40 - Using the Claude API MCP connector 11:50 - Prompt engineering with MCP 14:20 - Best practices for managing context and tools with MCP 18:20 - How John and Michael use MCP servers for project management, home automation, and more 20:00 - Understanding the “emergent” behaviors when Claude and MCP servers work together 22:50 - The future of MCP: growth of the protocol and ecosystem Learn more about MCP: https://modelcontextprotocol.io/docs/getting-started/intro Learn more about the Claude Developer Platform: https://www.claude.com/platform/api Learn more about how to write effective tools for AI agents: https://www.anthropic.com/engineering/writing-tools-for-agents
We're covering everything new with Claude for developers, including the launch of Claude Sonnet 4.5, major updates to Claude Code, powerful new API capabilities, and exciting features in the Claude app. Join the Claude Developer Discord - https://anthropic.com/discord Check out the Claude Code Docs - https://docs.claude.com/en/docs/claude-code/overview Check out the Memory Cookbook - https://github.com/anthropics/claude-cookbooks/blob/main/tool_use/memory_cookbook.ipynb 00:06 Claude Sonnet 4.5 - Leading on SWE-bench and can focus for 30+ hours on complex tasks 01:03 Claude Code VS Code Extension - Now available in beta on the VS Code Marketplace 01:30 Claude Code 2.0 - Refreshed terminal UI 01:45 Claude Code Checkpoints - Roll back to previous states with /rewind 02:23 Usage Tracking - Monitor your usage in real-time with /usage command 02:35 Claude API - Context editing and memory tools for building sophisticated agents 03:37 Claude Agent SDK - Build your own agents with the tools that power Claude Code 03:59 Claude File Creation - Generate Excel, PowerPoint, Word, and PDF files in the Claude app
Anthropic’s Alex Albert (Claude Relations), Brad Abrams (Product) and Katelyn Lesse (Engineering) discuss the evolution of building agents with Claude, the latest Claude Developer Platform features, and why agents perform best when developers “unhobble” their model with tools. Learn more about the Claude Developer Platform: https://www.claude.com/platform/api 00:00 - Introductions 00:30 - What is the Claude Developer Platform? 2:30 - What is an AI agent 3:15 - Building frontier intelligence for AI agents 4:00 - Reducing model scaffolding to build better agents 5:05 - The evolution of agentic frameworks 6:40 - Unhobbling the model with tools like web fetch 8:35 - Building agents with the Claude Agent SDK (formerly the Claude Code SDK) 10:50 - Best practices for identifying agentic use cases 11: 40 - Driving better agentic outcomes with the SDK 14:35 - Best practices for managing context and memory with Claude 19:00 - The future of the Claude Developer Platform (observability, computer use, and other ways to unhobble the model)
When you connect Slack to Claude using the Slack MCP server, Claude can search your workspace's channels, direct messages, and shared files to find the context you need. Claude helps you prepare for meetings by pulling relevant Slack discussions, gather project updates from multiple channels, and find action items buried in team conversations—all without leaving your chat with Claude.
Sonnet 4.5 is the best model in the world for coding and using computers, and the strongest for building complex agents. But don't just take our word for it—watch Claude’s progress over time. We put our models to the test and asked them to clone Claude.ai. Only Sonnet 4.5 was up to the task. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
Sonnet 4.5 is built for the complex work you do every day. Claude can now create docs, presentations, and spreadsheets that you can download and edit. Learn more: https://www.anthropic.com/news/create-files
Sonnet 4.5 is the best model in the world for coding and using computers, and the strongest for building complex agents. But don't just take our word for it—watch Claude’s progress over time. We put our models to the test and asked them to clone Claude.ai. Only Sonnet 4.5 was up to the task. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
Powered by Sonnet 4.5, the browser extension allows Claude to click buttons, fill out forms, and navigate the web alongside you. Learn more: https://claude.ai/chrome
We've added a new context editing capability and memory tool to the Claude API. With Sonnet 4.5, these updates improve agent performance and accuracy, allowing for longer conversations. See it all in action as Claude plays Catan: Claude builds a knowledge base of its opponents’ strategies that persists across games, and removes outdated information over time. Learn more: http://anthropic.com/news/context-management Anthropic is not affiliated with, endorsed by, or sponsored by CATAN GmbH or CATAN Studio. The CATAN trademark and game are the property of CATAN GmbH.
We’ve been experimenting with a new way to generate software. In this research preview, Claude builds whatever you can imagine, on the fly, without writing any code first. What you see is Claude creating software in real time, responding and adapting to your requests as you go. "Imagine with Claude" is available to Max subscribers for a limited time. Learn more: https://www.anthropic.com/news/claude-sonnet-4-5
Anthropic’s Meaghan Choi (Claude Code) and Alex Albert (Claude Relations) discuss the design principles behind Claude Code, the evolution of the terminal in the age of large-language models (LLMs), and how product designers can prototype new features with agentic coding. 0:00 - Introductions 00:20 - Claude Code’s design principles 1:40 - The evolution of the terminal 3:22 - Mapping the developer workflow to Claude Code 5:10 - Prompting in the terminal 6:45 - How we design new features 8:10 - Meaghan’s favorite Claude Code design elements 9:10 - Tips and tricks for designers using Claude Code (brainstorming with Claude, scoping product development timelines, and making design tweaks after new product releases) Learn more: https://claude.com/product/claude-code
There's never been a better time to be a problem solver. Claude is the AI collaborator that helps you think deeper—whether you're coding, creating, or reimagining what’s possible. Keep thinking. https://claude.com
Now Claude can create and work directly with your files, eliminating hours of manual busywork. This doesn't just save time; it brings Claude's analytical power straight into documents, spreadsheets, presentations, and PDFs.
Anthropic's Boris Cherny (Claude Code) and Alex Albert (Claude Relations) discuss the current and future state of agentic coding, the evolution of coding models, and designing Claude Code's "hackability." Boris also shares some of his favorite tips for using Claude Code. 0:00 - Introductions 0:39 - The current state of agentic coding 5:20 - The evolution of coding models 7:39 - Coding model evaluation 8:56 - Claude Code user feedback loops 10:34 - The “hackability” of Claude Code (CLAUDE.md, MCP, slash commands) 13:11 - The future of agentic coding 14:49 - How to upskill for agentic coding 17:49 - Claude Code tips and tricks Learn more about Claude Code: http://clau.de/future-of-agentic-coding Check out the Claude Code docs: https://clau.de/claude-code-docs
AI helps people work more efficiently. Unfortunately, this also applies to criminals. We've discovered that our own AI models are being used in sophisticated cybercrime operations, including a large-scale fraud scheme run by North Korea. What is Anthropic doing to detect and prevent AI cybercrime? How exactly are criminals using large language models to scam their victims? And what is "vibe hacking"? In this video, Anthropic's Jacob Klein and Alex Moix answer all these questions and more, discussing their work disrupting AI cybercrime and their new Threat Intelligence report. Read the Threat Intelligence report: https://www.anthropic.com/news/detecting-countering-misuse-aug-2025 Sections: Introduction [00:00] "Vibe hacking" [01:49] Our response to abuses of our models [08:34] North Korea's employment scam [15:02] Ransomware, romance scams, and other abuses [23:50] How concerned should we be? [31:46]
Anthropic's Cat Wu (Claude Code) and Alex Albert (Claude Relations) discuss how the Claude Code team prototypes new features, best practices for using the Claude Code SDK and other learnings from building our agentic coding solution alongside developers. Learn more about Claude Code: http://clau.de/prototyping-claude-code Check out the Claude Code docs: https://clau.de/claude-code-docs 0:00 - Introductions 0:26 - How Anthropic prototypes new features with Claude Code 3:43 - Common use cases 5:47 - Usage patterns and "multi-Clauding" 7:13 - Customizing Claude Code (CLAUDE.md, slash commands, and hooks) 8:34 - Overview of the Claude Code SDK 10:13 - Using the Claude Code SDK to build agents 12:10 - Tips and best practices
What's happening inside an AI model as it thinks? Why are AI models sycophantic, and why do they hallucinate? Are AI models just "glorified autocompletes", or is something more complicated going on? How do we even study these questions scientifically? Join Anthropic's Josh Batson, Emmanuel Ameisen, and Jack Lindsey as they discuss the latest research on AI interpretability. Read more about Anthropic's interpretability research: https://www.anthropic.com/news/tracing-thoughts-language-model Sections: Introduction [00:00] The biology of AI models [01:37] Scientific methods to open the black box [6:43] Some surprising features inside Claude's mind [10:35] Can we trust what a model claims it's thinking? [20:39] Why do AI models hallucinate? [25:17] AI models planning ahead [34:15] Why interpretability matters [38:30] The future of interpretability [53:35]
Never lose track of your work again. Claude now remembers your past conversations, so you can seamlessly continue projects, reference previous discussions, and build on your ideas without starting from scratch every time.
Visit anthropic.com/solutions/financial-services to learn more about Claude's finance-specific capabilities. Hear directly from Anthropic executives and industry leaders at Claude for Financial Services, where Anthropic leadership and senior financial executives discussed the future of AI in the financial services industry on July 15, 2025 in New York City, USA.
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Du'An Lightfoot, Senior Developer Advocate @ AWS Suman Debnath, Principal Developer Advocate @ AWS Banjo Obayami, Senior Solutions Architect @ AWS
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Ivan Nardini, Developer Relations Engineer, AI/ML, Google Cloud
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Sid Bidasaria, Member of Technical Staff @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speaker: David Hershey, Member of Technical Staff @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Cal Rueb, Member of Technical Staff at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: David Soria Parra, Member of Technical Staff at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Beyang Liu, Cofounder and CTO at @Sourcegraph
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Christian Ryan, Applied AI at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Hannah Moran, Applied AI at @anthropic-ai Jeremy Hadfield, Applied AI Product Engineer at @anthropic-ai
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Danny Wu, Head of AI Products at @canva
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Craig Wiley, Sr. Director of Product for AI/ML at @Databricks
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Tao Zhang, Head of Product at Manus
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Obie Fernandez, Principal Engineer at @shopify
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Jordan Garcia, Head of AI Engineering, Gamma App Dhruv Amin, Co-Founder and CEO, Create Amar Goel, Co-Founder and CEO, Bito Kevin Michael, Co-Founder and CEO, Tempo Labs Andrew Filev, Founder & CEO, Zencoder Hayk Martiros, Co-Founder and CTO, Riffusion
Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA. Speakers: Isobel Porteus, Student, Stanford Mason Arditi, Student, UC Berkeley Rohil Agarwal, Student, UC Berkeley Daniel Gao, Student, USC
Visit https://anthropic.com/solutions/financial-services to learn more about Claude's finance-specific capabilities. Hear directly from Anthropic executives and industry leaders at Claude for Financial Services, where Anthropic leadership and senior financial executives discussed the future of AI in the financial services industry on July 15, 2025 in New York City, USA.
Claude now connects to your favorite tools with one click. Browse and connect to Canva, Figma, Notion, Stripe, and more. Now Claude can see your projects, understand your deadlines, and work directly in your tools.
We launched a new directory of tools that connect directly to Claude. Connect Claude to Notion, Canva, Figma, Stripe, and more in one click. Claude can see your projects, understand your deadlines, and work directly in your tools.
We study Claude's performance on coding, reasoning, and knowledge tests. But we also research how people use Claude for emotional support and companionship. In this fireside chat, our team discusses our findings on how people are using Claude for emotional support, advice, and companionship. These insights directly inform our safeguards work—helping us build AI that's both helpful and safe.
With artifacts in Claude, you can turn your ideas into interactive experiences. No coding required—just describe what you want to create.
Introducing a dedicated space to view artifacts in the Claude app, and the ability to embed AI capabilities directly into your creations—transforming artifacts into interactive, AI-powered apps.
Artifacts turn anyone into an app creator—no coding needed. Just tell Claude your idea to instantly create shareable apps, tools, and games. Now developers can iterate faster on their AI apps without worrying about the complexity and cost of scaling for a growing audience.
Claude turns a product requirements doc into into structured Asana tasks, automatically assigning them to the right team members and setting deadlines.
Claude Code autonomously handles complex development tasks, turning your ideas into working prototypes.
Claude connects the dots between your emails, meetings, and the internet to help you work strategically.
Theo Chu, David Soria Parra and Alex Albert dive into the Model Context Protocol (MCP), the standard that's changing how AI applications connect with external data and tools. Anthropic open-sourced MCP in November 2024. Learn more about MCP: https://modelcontextprotocol.io Read the initial announcement: https://anthropic.com/news/model-context-protocol 0:00 Introduction 0:35 MCP and core components 3:13 How it started 6:22 Launching MCP and reception 8:12 Making it open source 9:55 Current state 13:23 Tips for getting started 14:57 Favorite MCP servers 16:23 Claude 4 improvements 18:18 What's next
Designer Ryan Mather on the creative process with AI.
This concluding video is part of Lesson 11 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It revisits the AI Fluency Framework and brings together the key concepts explored throughout the course. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 10 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Diligence: taking responsibility for what we do with AI and how we do it. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 8 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Discernment: accurately assessing the usefulness of Al outputs and behaviors.. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Deep Dive 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores practical skills for crafting effective prompts when working with AI assistants like Claude. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 6 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Description: effectively describing goals to prompt useful Al behaviors and outputs. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 4 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores the core competency of Delegation: setting goals and deciding whether, when and how to engage with Al. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Deep Dive 1 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It examines what generative AI can and cannot do effectively at this point in time. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Deep Dive 1 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It introduces the concept of generative AI, focusing on its ability to create new content rather than just analyzing what already exists. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It introduces the four core competencies of AI fluency, or the "4Ds": Delegation, Description, Discernment, and Diligence. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!
This video is part of Lesson 2 of AI Fluency: Framework & Foundations, a course developed by Anthropic, Prof. Rick Dakan (Ringling College of Art and Design) and Prof. Joseph Feller (University College Cork). It explores what it really means to be "fluent" with AI and why this matters. View the full free course, including all videos, exercises, and resources, at https://www.anthropic.com/ai-fluency This video is copyright 2025 Rick Dakan, Joseph Feller, and Anthropic PBC. Released under the CC BY-NC-SA 4.0 license. Are you using AI Fluency in your life, work, or classes? Let us know in the comments!