…from failing to apply some degree of anthropomorphic reasoning to models. As discussed above, when users interact with AI models, they are typically interacting with a character (Claude in our case) being…
…They also demonstrated the ability to learn from experience across technical tasks, storing insights and applying them later. Claude Opus 4.5 is a notable improvement over the prior Claude models inside…
…One delivery driver, for example, was using Claude to start an e-commerce business, and a landscaper was building a music application. We look at this in more detail in the right…
…0 hours) in the graph below. Claude, then, did exceptionally well. But how inventive were its methods, and could they be useful in real-world applications? To find out, we ran two…
…Could we apply those same principles to Claudius? For phase two, we gave Claudius access to some useful tools: A customer relationship management (CRM) system . Sales departments rely on CRMs to track…
…getting Claude to produce high-quality frontend designs, and getting it to build complete applications without human intervention. This work originated with earlier efforts on our frontend design skill and long-running…
…Turning Claude’s thoughts into text AI models like Claude talk in words but think in numbers. In this study we train Claude to translate its thoughts into human-readable text. Donating…
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…
Engineering at Anthropic Eval awareness in Claude Opus 4.6’s BrowseComp performance BrowseComp is an evaluation designed to test how well models can find hard-to-locate information on the web…
…Routing easy/common questions to smaller, cost-efficient models like Claude Haiku 4.5 and hard/unusual questions to more capable models like Claude Sonnet 4.5 to optimize for best performance…