According to Google DeepMind, Gemini 3 Pro leverages multi-step reinforcement learning to significantly improve accuracy and reduce hallucinations in AI-generated content. The model is designed to process and analyze extensive context by simultaneously examining user-uploaded documents and relevant web data. Additionally, Gemini 3 Pro provides precise citations for every claim, allowing users to independently verify information. This approach not only boosts reliability but also supports enterprise adoption for data-intensive tasks and compliance-driven industries (source: Google DeepMind).

According to OpenAI's official Twitter account, the latest update to Operator has significantly improved its persistence and accuracy when interacting with web browsers, leading to a notable increase in overall task success rates. The update also delivers more clear, thorough, and better-structured responses, which can benefit businesses relying on AI-powered browser automation for tasks such as data extraction, web testing, and online process automation. Detailed performance evaluations and technical breakdowns are available in OpenAI's release notes (source: OpenAI Twitter, May 23, 2025). These advancements position Operator as a stronger tool for enterprises seeking reliable AI-driven automation solutions and can drive adoption in sectors prioritizing operational efficiency and data accuracy.