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Claude is an AI assistant developed by Anthropic that uses large language models to generate text and support conversational tasks.
We sampled 1 million claude.ai conversations from March and April 2026 and filtered for unique users to get roughly 639,000 conversations. We then used a classifier to identify personal guidance, which we defined as conversations where people ask what they specifically should do in their personal lives—for example, questions that start with "Should I…?" or "What do I do about…?". We excluded questions that seek objective information or opinions in general terms. We categorized these roughly 38,000 conversations into nine domains, drawing from previous research on AI and guidance-giving: relati
How people ask Claude for personal guidance…If you have something you want to see covered here, please reach out to us at scienceblog@anthropic.com. Related content Natural Language Autoencoders: Turning Claude’s thoughts into text AI models…
Engineering at Anthropic Claude Code auto mode: a safer way to skip permissions By default, Claude Code asks users for approval before running commands or modifying files. This keeps users safe, but…
…Claude Code is the most common coding agent tool reported, with 86% of users reporting Claude Code use (31% report using Codex, the next most common tool). Adoption is highly uneven Figure…
…Related content Higher usage limits for Claude and a compute deal with SpaceX We’ve raised Claude's usage limits and agreed a new compute partnership with SpaceX that will substantially increase…
…Benchling is using Claude to help researchers structure data, ask better questions, generate insights faster, and spend more time on science. Biomni is using Claude to speed up bioinformatics analysis and even…
…What makes some models better at introspection than others? Our experiments focused on Claude models across several generations (Claude 3, Claude 3.5, Claude 4, Claude 4.1, in the Opus, Sonnet…
…We have already deployed this classifier on Claude traffic as part of our broader system for identifying misuse of our models. Early deployment data suggests the classifier works well with real Claude…
…TCS will provide Claude to 50,000 of its own employees across 56 countries; build Claude-powered products for clients in financial services, healthcare, the public sector, and other regulated industries; and…
Frontier Red Team Measuring LLMs’ ability to develop exploits May 22, 2026 Newton Cheng, Keane Lucas, Winnie Xiao, Nicholas Carlini, and Milad Nasr Introduction Claude Mythos Preview ’s ability to develop exploits…
…What we learned from this and other analyses directly shapes how we build Claude to prevent such misuse. For example, we’ve updated the classifiers built into Claude to detect the highest…