OpenAI Launches ChatGPT Advanced Voice

Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host, and today, on June 8th, 2025, we're diving into the most important developments shaping the future of AI product management. Today's insights are drawn from over 60 expert sources on X and Twitter. Let's get started. OpenAI launched ChatGPT Advanced Voice, now available to all paid ChatGPT users, making conversations more natural and effortless. This enables PMs to integrate voice-driven interactions into products. Next, Google previewed Gemini 2.5 Pro, doubling daily query limits from 50 to 100 in AI Studio and Vertex AI. The preview is live now in both AI Studio and Vertex AI for immediate testing. Also, LangChainAI released a Fast RAG system combining SambaNova’s DeepSeek-R1 with Qdrant to achieve a 32× memory reduction for large-scale document processing. These updates enable PMs to scale workloads and optimize retrieval performance. Now for AI tools and applications: Karan Vaidya released Agent Flow, an open-source drag-and-drop no-code platform built with LangGraph and Composio for automating complex workflows via AI agents. Harrison Chase demonstrated a LangGraph drag-and-drop UI, enabling visual construction of agents and workflows in a browser. Also, LangChainAI launched LlamaBot, an AI agent that generates full-stack web applications via natural chat, complete with live code previews. These tools enable PMs to prototype and deploy AI-driven agents without writing code. Next, Pawel Huryn noted that 85% of AI initiatives fail due to ineffective metrics like “hallucination” or “toxicity,” urging PMs to develop domain-specific evaluations. Also, Aakash Gupta explained that a structured eval framework with defined tests can differentiate high-performing AI PMs from the rest. These insights enable PMs to set effective evaluation standards and improve AI project success rates. Meanwhile, Clement Delangue highlighted that adopting safetensors over pickle has been one of the biggest unsung advances in AI safety over the past year. Finally, Yann LeCun quipped about sensational “AI doomer” headlines, underscoring the gap between media hype and actual AI capabilities. These developments enable PMs to prioritize model security and manage stakeholder expectations. That's a wrap on today's GenAI PM Daily. Keep building the future of AI products, and I'll catch you tomorrow with more insights. Until then, stay curious!