Anthropic

Our co-founders discuss the past, present, and future of Anthropic. Continue watching the full video on YouTube: https://lnkd.in/eZF_8dSG

New Anthropic research: How are people using AI systems in the real world? We present a new system, Clio, that automatically identifies trends in Claude usage across the world. Knowing how people use AI isn’t just a matter of curiosity, or of sociological research. Having a better insight into patterns of use helps us make our AI systems safer, and to help us predict where the tech might go in future. Clio works by taking real-world conversations, summarizing them while removing identifying information, and clustering these summaries to reveal aggregate insights. This process happens in a secure environment—only the final, high-level insights are visible to human analysts. We discuss much more about how Clio works, the insights we’ve gathered, and the questions Clio raises, in our blog post: https://lnkd.in/e69UPYsj.

Codeium is using Claude to make software development more accessible—enabling developers to tackle bigger projects while helping newcomers write their first lines of code: https://lnkd.in/ggv4RvvV

Prompt caching is now in preview in Amazon Bedrock. With prompt caching, you can provide Claude with more background knowledge and example outputs to improve response accuracy and latency—all while reducing costs by up to 90%. https://lnkd.in/gxwdX9ke

We've started optimizing Claude models to run on Amazon Web Services (AWS) Trainium2—their most advanced AI chip. It's already bearing fruit: Our first release is a faster version of Claude 3.5 Haiku in Amazon Bedrock. We’re also introducing Amazon Bedrock Model Distillation. In distillation, a "teacher" (Claude 3.5 Sonnet) transfers knowledge to a "student" (Claude 3 Haiku), helping the “student” run more sophisticated tasks at a fraction of the cost. In addition to offering a faster version on Trainium2, we're lowering the base price of Claude 3.5 Haiku across all platforms. The faster Claude 3.5 Haiku and model distillation are available in preview today in Amazon Bedrock: https://lnkd.in/eYbnXEm4

We’re starting a Fellows program to help engineers and researchers transition into doing frontier AI safety research full-time. Beginning in March 2025, we’ll provide funding, compute, and research mentorship to 10–15 Fellows with strong coding and technical backgrounds. Fellows will have access to: - A weekly stipend of $2,100 - ~$10k per month for compute & research costs - 1:1 mentorship from an Anthropic researcher - Shared workspaces in the Bay Area and London Fellows will collaborate with Anthropic researchers for 6 months on projects in areas such as: - Adversarial robustness & AI control - Scalable oversight - Model organisms of misalignment - Interpretability Fellows can participate while affiliated with other organizations (e.g., while in a PhD program). At the end of the program, we expect Fellows to be stronger candidates for roles at Anthropic, and we might directly extend some full-time offers. Apply by January 20 to join our first cohort! Full details are at the following link: https://lnkd.in/dDNzwZCp

Read how Intercom's Fin, powered by Claude, helps 25,000+ companies deliver instant, high-quality support: https://lnkd.in/eYSKc__n

Want Claude to more closely match how you communicate? You can now upload writing samples and Claude will automatically generate custom styles, just for you.

With styles, you can now customize how Claude responds. Select from the new preset options: Concise, Explanatory, or Formal. Whether you're a developer writing formal documentation, a marketer crafting clear brand guidelines, or a product team planning extensive project requirements, Claude can adapt to your preferred way of writing.

We’re expanding our collaboration with Amazon Web Services (AWS) to develop and deploy next-generation AI systems. This includes a new $4 billion investment from Amazon and establishes AWS as our primary cloud and training partner. This brings Amazon's total investment in Anthropic to $8 billion. Working closely with AWS, we're developing future generations of Trainium chips. Designing both hardware and software together lets us optimize every aspect of model training. Our engineers work with the AWS chip design team to maximize computational efficiency, writing low-level kernels to directly interface with Trainium silicon and contributing to the AWS Neuron software stack. Through Amazon Bedrock, Claude has become core infrastructure for tens of thousands of companies seeking reliable and practical AI at scale. Together, we're laying a new technological foundation—from silicon to software—to train and power our most advanced AI models. Read more: https://lnkd.in/gfbKewvz