LLM Evaluation Frameworks Compared: How to Actually Measure What Your Model Does
In this article, you will learn how to evaluate LLM applications using the three dominant open-source frameworks — RAGAS, DeepEval, and Promptfoo — and why…
Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
Proactive agents that anticipate user needs and autonomously execute tasks hold great promise as digital assistants, yet the lack of realistic user simulation frameworks hinders their development. Existing approaches model apps as flat tool-calling APIs, failing to capture the stateful and sequential nature of user interaction in digital environments and making realistic user simulation infeasible. …
Multi-agent social intelligence with Strands Agents and Amazon Bedrock
Your prospects leave trails across multiple sources: a founder asks “What should I use for X?” in r/SaaS while their product launches on Hacker News. Stack Overflow questions spike. A GitHub repo crosses 2,400 stars. Each signal alone is noise, but correlated across sources, they reveal a prospect ready to buy. Multi-agent systems built with …
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Google named a Leader in the 2026 IDC MarketScape for Worldwide Foundation Model Software
For years, we’ve built with a clear priority: putting the practical needs of the enterprise first. Long before generative AI dominated the headlines, we were focused on building the global infrastructure, security frameworks, and data platforms that power the world’s largest organizations. We’ve always believed that technology is only as good as its reliability, security, …
The UK Is Planning a Social Media Curfew for 16- and 17-Year-Olds
The restrictions, which can be turned off, will include a crackdown on “addictive” app features and will be in addition to a total ban on children under 16 accessing platforms like TikTok and YouTube.
Alan Turing’s biggest AI assumption may have been wrong
A new book claims AI has been built on a flawed assumption dating back to Alan Turing’s famous 1950 paper. Peter J. Denning argues that the most important parts of human intelligence, including common sense, intuition, culture, and practical know-how, cannot be encoded into computers. He believes this makes true human-level AI impossible, regardless of …
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AI agents create virtual playgrounds to help robots get crucial training data
Robots walking down the street, surrounded by astounded onlookers, are an increasingly common sight. But these machines aren’t yet the do-it-all assistants you’d want working in a kitchen or factory, and a major bottleneck is data. Much like humans, robots learn best by experience. The challenge is that it’s labor-intensive and time-consuming to physically teach …
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Building AI Agents? Here Are Some Anti-Patterns to Avoid.
Agent systems change constantly in production.
Building Service Topology at Scale: Architecture, Challenges, and Lessons Learned
By Parth Jain, Rakesh Sukumar, Yingwu Zhao, Renzo Sanchez-Silva & Nathan FisherA deep dive into the engineering challenges of building a real-time service dependency map at Netflix scale: from streaming architectures and distributed aggregation pipelines to time-travel queries and the methodology that made it work. Introduction In our first post, we introduced the problem: engineers at …
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OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock
Build with the smartest family of models from OpenAI yet, on Amazon Bedrock’s next-generation inference engine. Organizations scaling autonomous agents and AI-powered products need frontier intelligence that performs reliably across hundreds of steps, from coding agents shipping production code to cyber security research probing novel attack surfaces to genomics workflows analyzing entire gene sequences end-to-end. …
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