Research
CIRCLE: A Framework for Evaluating AI from a Real-World Lens
This paper proposes CIRCLE, a six-stage, lifecycle-based framework to bridge the reality gap between model-centric performance metrics and AI's materialized outcomes in deployment.
ResearchThe Presidio Recommendations on Responsible Generative AI - World Economic ForumCohere
ResearchFrom Tools to Teammates: Evaluating LLMs in Multi-Session Coding InteractionsCohere
ResearchThe Reality of AI and BioriskCohere
ResearchThe Culture Funnel: You can’t align what isn’t in the dataCohere
ResearchBidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMsCohere
ResearchSecurity Implementation for Responsible AI: A Practical FrameworkCybersecurity Exchange
News1Password and Drata Partner to Unify Security and Compliance | 1Password1password
News1Password and Anthropic Bring Secure Credential Access to Claude, letting an AI agent use approved1password
EventsWebinar On DemandWhat's new? 1Password MSP Edition - Q2 20261password
BlogsThe Real Dark Web | CSS-TricksCss Tricks
LearnJavaScript Stay organized with collections Save and categorize content based on your preferences.Web
BlogsUser-centric performance metricsWeb
BlogsHow the Core Web Vitals metrics thresholds were definedWeb
BlogsProduct development process: 5 key phases & examplesNotion So
BlogsReal-Time Collaboration with Replicache and Fly-ReplayFly
BlogsTaming A Voracious Rust ProxyFly
Products & ServicesSeedance 2.0 API Live on fal (April 2026)Fal
BlogsNew Docker Extension for Visual Studio CodeDocker
BlogsFrom public static void main to Golden Kubestronaut: The Art of unlearningCncf
