This episode covers the frontier model releases that defined twenty twenty five, including OpenAI’s GPT five series, Google’s Gemini three with Deep Think mode, Anthropic’s Claude four variants, and open source systems from DeepSeek, Meta, and Nvidia. We examine the architectural transition from single model inference to distributed multi agent coordination layers, the emergence of open weight systems matching proprietary performance under export restrictions, and the infrastructure capital deployments from Microsoft, Google, and Nvidia now supporting production AI workloads. The briefing concludes with molecular computing advances from the Indian Institute of Science and the operational implications of compressed iteration cycles and benchmark fragmentation across reasoning, agentic tool use, and extended context handling.
