Gemini-3.1-Pro

Headlines · 2

1. 3d
   Online dense RL trains UI agents on live iOS apps

   A paper by Peitong Duan, Khashayar Gatmiry, Jeffrey Nichols, Samy Bengio, and Emmanuel Abbe introduces an online dense reinforcement learning framework for training UI navigation agents directly on live iOS applications. It separates planning from UI grounding, combines step-level and terminal rewards through an LLM-as-a-Judge, and introduces GiGPPO alongside infrastructure for orchestrating hundreds of concurrent virtual iOS devices. The paper reports that its 8B agents outperformed SFT and terminal-only RL baselines, nearly achieved a sevenfold improvement in out-of-distribution Android tests, and surpassed Gemini-3.5-Flash while tying Gemini-3.1-Pro on real iOS apps.

   Hugging Face · Papers · 🔥 0
2. 4d
   Retell AI runs 100M monthly calls on OpenAI models

   OpenAI reports that voice-AI platform Retell AI now serves more than 4,000 businesses, with monthly call volume growing from 30 million in early 2026 to over 100 million by September, and OpenAI models generating responses for 80% of those calls. Retell says customer resolution rates exceed 80%, citing Anker's reported 80.4% case resolution rate and a Net Promoter Score of 63, while Pine Park Health's scheduling agent reached a 55.7% booking rate. In its vCX benchmark dated October 13, 2026, GPT-6 Astra ranked first for instruction following at 89.7%, and Retell engineers use Codex for code research, feature building and debugging plus GPT-6 Astra's computer use to test front-end interfaces.

   OpenAI · 🔥 0

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