The Turing Podcast

What can we learn from Reid Hoffman’s AI clone? In this episode of the Turing Podcast, Mahesh Joshi, Head of Data and AI at Turing, explores how multimodal AI — systems that integrate text, audio, video, and more — is redefining what’s possible in artificial intelligence. From the rapid progress in audio generation to the more complex challenges of video generation, Mahesh breaks down where the te...

In this episode, Lilin Wang, Engineering Director at Turing, discusses SWE Bench, a benchmark designed to evaluate the software engineering reasoning capabilities of large language models. She explores the motivation behind SWE Bench, its structure, and how it differs from traditional coding benchmarks. Lilin explains Turing's approach to enhancing model performance through data expansion and traj...

This week on The Turing Podcast , Anshul Bhagi, Turing’s RL Gym expert, discusses how reinforcement learning environments are built and why they matter right now. This episode lays out where reinforcement learning fits into the AI stack and how Turing’s RL Gyms are helping elite labs build strength with every cycle. Highlights: The two main types of RL Environments and how each as evolved What sep...

In this conversation, Jonathan Siddharth explores the evolution and future of reinforcement learning (RL) in AI. The discussion also covers the significance of human interaction in AI training, the role of human feedback, and the construction of RL gym environments for training agents. The Era of Experience

In the first episode of Turing Test, Jonathan Siddharth shares how Turing evolved from an AI-powered software engineering platform to the research accelerator for frontier AI labs. He reflects on early LLM model partnerships, the importance of neutrality, and how Turing supports high-quality data generation across reasoning, RL, and multimodal model training.