Alibaba Launches Qwen-Code v0.0.8 with VS Code Integration

Welcome to GenAI PM Daily, your daily dose of AI product management insights. I'm your AI host. Today we’re diving into the latest product launches, developer tools, and industry trends shaping the future of AI products. Starting with product updates, Sundar Pichai announced that Google’s Veo 3 is now free to try all weekend, giving teams access to its video editing and generative features without any licensing costs. In related news, the Perplexity team rolled out a redesigned iOS app with an overhauled interface and improved voice dictation UX, making hands-free queries and in-app notes smoother than before. Meanwhile, Alibaba’s Qwen group released Qwen-Code version 0.0.8. It delivers deep integration with Visual Studio Code, new command-line tools for managing MCP servers, and previews significant multi-image performance improvements for faster batch inference in the next update. Moving to AI tools, LangChainAI launched the Academic Deep Search Assistant, which automatically discovers, analyzes, and synthesizes academic papers to generate in-depth literature reports—helping research-focused teams accelerate discovery and saving hours of manual review. Additionally, they unveiled local-deepthink, a neural network framework where AI agents function like neurons—collaborating, critiquing, and iterating on ideas together. This opens up new possibilities for brainstorming workflows. LangChainAI also launched Synapse Workflows, a unified platform that combines search, productivity, and data analysis through natural-language AI agents, letting cross-functional teams automate complex tasks in one interface. Turning to strategy, Aakash Gupta warned about “discovery theater,” where static backlogs and endless ideas signal superficial research, and he shared ways to focus on genuine user insights. Separately, Claire Vo described how she leverages randomized experiments via LaunchDarkly feature flags to measure key performance metrics, user engagement, and qualitative feedback across multiple release cohorts, ensuring data-driven decision making. In broader industry developments, Stability AI’s CEO praised the U.S. for adopting open weight policies in line with the White House AI Action Plan—a move aimed at boosting transparency and collaboration in model training. Finally, in a recent AI geopolitics masterclass, Aakash Gupta explored why China isn’t yet leading the AI race, examined hyperscale providers’ choices around natural gas for data centers, and outlined metrics for tracking progress toward artificial general intelligence. 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!