Meta AI Researcher explains ARE: scaling up agent environments and evaluations @arizeai
Meta AI Researcher explains ARE: scaling up agent environments and evaluations  @arizeai
Uploaded November 2025 | Updated September 2026, 2 weeks ago
Grégoire Mialon, Research Scientist at Meta Superintelligence Labs, offers a TL:DR on the research and its implications.

The paper introduces Meta Agents Research Environments (ARE), a research platform for scalable creation of environments, integration of synthetic or real applications, and execution of agentic orchestrations. ARE provides simple abstractions to build complex and diverse environments, each with their own rules, tools, content, and verifiers, helping to bridge the gap between model development and real-world deployment.

Read the paper: ai.meta.com/research/publications/are-scaling-up-agent-environments-and-evaluations
Other hot AI research papers and signup to bi-weekly readings mailing list: arize.com/ai-research-papers
Read more highlights from this paper: arize.com/blog/meta-ai-researcher-explains-are-and-gaia2
Meta AI Researcher explains ARE: scaling up agent environments and evaluationsWhat Production AI Agent Teams Are Building Today | Mastra | Arize Observe 2026The Hard Truth About Being an AI EngineerOne AI Question - whats your spicy take on AI with Jim BennettLLM as a Judge 102:  Meta EvaluationTrace-Level Evals for a Recommendation AgentHow To Debug AI Agents: Tracing, Observability & EvalsLLM Evaluation Using Prompt LearningClaude Code: How To Become a Power UserHow to Build Reliable AI Agents (Context + Evals Explained) | Tobias Leong, AxiumHow we debug AI agents using AI agents (real trace debugging workflows)How Phoenix became the standard for AI observability
Arize AI |

Meta AI Researcher explains ARE: scaling up agent environments and evaluations

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER