Research

Research papers, whitepapers, case studies, etc. 1271 public listings.

• 2025 State of Tech Talent Japan Report (Linuxfoundation)
  LINUX FOUNDATION RESEARCH We’re investigating the impact of open source collaboration to solve the world’s most pressing challenges.
• A mathematical framework for Transformer Circuits (Anthropic)
  Reverse-engineering small attention-only transformers reveals how induction heads form via head composition.
• Natural Language Autoencoders (Anthropic)
  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.
• How Claude is accelerating protein design and analytical chemistry (Anthropic)
  Two results show how Claude helps life sciences researchers speed up their work: designing protein binders from scratch and analyzing NMR a…
• Claude is competitive with humans in (some) cyber competitions (Anthropic)
  Throughout 2025, we have been quietly entering Claude in cybersecurity competitions designed primarily for humans.
• Census II of Free and Open Source Software (Linuxfoundation)
  LINUX FOUNDATION RESEARCH We’re investigating the impact of open source collaboration to solve the world’s most pressing challenges.
• Training a helpful and harmless assistant with RLHF (Anthropic)
  RLHF fine-tuning improved performance on almost all NLP evaluations, showing essentially no alignment tax for helpfulness and harmlessness.
• Distributed representations: Composition and superposition (Anthropic)
  "Distributed representation" conflates two distinct ideas, composition and superposition, with very different generalization properties.
• Measuring tactical intelligence targeting and conventional weapons capabilities of AI models (Anthropic)
  Anthropic’s Frontier Red Team developed new evaluations to measure AI capabilities in tactical intelligence targeting and conventional weap…
• Project Fetch: Phase two (Anthropic)
  Results from our latest test of whether Claude can help Anthropic employees perform sophisticated robotics tasks.
• A global workspace in language models (Anthropic)
  Interpretability research on Claude's internal thoughts.
• State of Postgres (Datadoghq)
  Most organizations run Postgres in production, and adoption keeps climbing Postgres is the most-used transactional database in production,…
• Agentic misalignment: How LLMs could be insider threats (Anthropic)
  Agentic misalignment: How LLMs could be insider threats Highlights - We stress-tested 16 leading models from multiple developers in hypothe…
• Paving the way for AI agents in biology (Anthropic)
  In this Anthropic Science post, Laura Luebbert argues that we need to make biological data infrastructure more agent-friendly.
• In-context learning and induction heads (Anthropic)
  We observe a sharp phase change early in training when induction heads form and in-context learning jumps, across models from 13M to 13B pa…
• Assessing Claude Mythos Preview’s cybersecurity capabilities (Anthropic)
  Technical details on how we tested Claude Mythos Preview, a model strikingly capable at computer security tasks, and what we found.
• Automated Alignment Researchers (Anthropic)
  Nine Claude instances worked autonomously on an alignment problem for five days. Results on using language models to scale scalable oversig…
• AI models on realistic cyber ranges (Anthropic)
  Current Claude models can succeed at multistage attacks on networks with dozens of hosts using only standard, open-source tools.
• Building AI for cyber defenders (Anthropic)
  How we've improved Claude's cyber defense skills.
• Coding agents in the social sciences (Anthropic)
  Results from a survey of 1,260 social scientists about AI and coding agent use.
• Towards monosemanticity (Anthropic)
  Using dictionary learning to decompose a transformer layer into thousands of monosemantic features, a path past the polysemantic-neuron pro…
• Persona vectors: Monitoring and controlling character traits in language models (Anthropic)
  A paper from Anthropic describing persona vectors and their applications to monitoring and controlling model behavior.
• Values in the wild: Discovering and analyzing values in real-world language model interactions (Anthropic)
  Values in the wild: Discovering and analyzing values in real-world language model interactions People don’t just ask AIs for the answers to…
• Question decomposition improves reasoning faithfulness (Anthropic)
  Breaking complex questions into subquestions produces more faithful reasoning than chain-of-thought while retaining accuracy gains.
• Anthropic Economic Index: AI's impact on software development (Anthropic)
  Anthropic Economic Index: AI’s impact on software development Jobs that involve computer programming are a small sector of the modern econo…
• Studying large language model generalization with influence functions (Anthropic)
  An EK-FAC approximation makes influence functions orders of magnitude faster on LLMs up to 52B parameters, revealing how models generalize.
• Automated researchers can reliably mitigate alignment failures (Anthropic)
  We had Claude autonomously train models to improve their performance on several public benchmarks that measure 10 categories of alignment f…
• Toy models of superposition (Anthropic)
  Small networks can represent more features than they have dimensions when features are sparse, a phenomenon called superposition.
• How people ask Claude for personal guidance (Anthropic)
  We look at what types of guidance people ask of Claude, and describe how this research shaped the training of our newest models.
• Simple probes can catch sleeper agents (Anthropic)
  This “Alignment Note” presents some early-stage research from the Anthropic Alignment Science team following up on our recent “Sleeper Agen…
• 2028: Two scenarios for global AI leadership (Anthropic)
  Our views on the AI competition between the US and China.
• How Claude is uplifting biomolecular modeling (Anthropic)
  In this post, we share how Claude made the open-source models that scientists use to predict and design biomolecules faster and more memory…
• CNCF Annual Cloud Native Survey: The infrastructure of AI’s future (Linuxfoundation)
  LINUX FOUNDATION RESEARCH We’re investigating the impact of open source collaboration to solve the world’s most pressing challenges.
• Project Vend: Can Claude run a small shop? (And why does that matter?) (Anthropic)
  We let Claude run a small shop in the Anthropic office.
• Language models (mostly) know what they know (Anthropic)
  Larger models are well calibrated at judging whether their own answers are true, and can predict whether they know an answer before answeri…
• How AI assistance impacts the formation of coding skills (Anthropic)
  A randomized trial with 52 developers found AI assistance lowered comprehension scores, except when used for explanations rather than deleg…
• A general language assistant as a lab for alignment (Anthropic)
  A general language assistant as a testbed for alignment, where preference modeling outperforms imitation learning and scales better.
• WebAssembly (Wasm) for Legal Professionals (Linuxfoundation)
  LINUX FOUNDATION RESEARCH We’re investigating the impact of open source collaboration to solve the world’s most pressing challenges.
• Measuring the persuasiveness of language models (Anthropic)
  Anthropic developed a way to test how persuasive language models (LMs) are, and analyzed how persuasiveness scales across different version…
• A statistical approach to model evaluations (Anthropic)
  Suppose an AI model outperforms another model on a benchmark of interest—testing its general knowledge, for example, or its ability to solv…
• Predictability and surprise in large generative models (Anthropic)
  Aggregate performance of large models is predictable via scaling laws, yet specific capabilities emerge unpredictably.
• Introducing Bloom: Automated behavioral evals (Anthropic)
  Bloom is an open-source agentic framework that auto-generates behavioral evaluations, tested across 16 frontier models.
• A “diff” tool for AI: Finding behavioral differences in new models (Anthropic)
  A new interpretability method compares models with different architectures to surface behavioral differences, tested across four open-sourc…
• Clio: A system for privacy-preserving insights into real-world AI use (Anthropic)
  - This system and research tool is now called Anthropic Insights - Consumer and What do people use AI models for?
• Alignment faking in large language models (Anthropic)
  Most of us have encountered situations where someone appears to share our views or values, but is in fact only pretending to do so—a behavi…
• The persona selection model (Anthropic)
  A theory of why AI models act like humans.
• The assistant axis (Anthropic)
  We investigate the character that most modern language models inhabit when interacting with users.
• Privileged bases in the transformer residual stream (Anthropic)
  Individual coordinates in the residual stream show unexpected privileged basis behavior, provisionally attributed to Adam's per-dimension n…
• Experimenting with AI to defend critical infrastructure (Anthropic)
  Anthropic partnered with Pacific Northwest National Laboratory to explore how AI can help defenders find and fix vulnerabilities before att…
• Sabotage evaluations for frontier models (Anthropic)
  Any industry where there are potential harms needs evaluations. Nuclear power stations have continuous radiation monitoring and regular sit…