Welcome to GenAI PM Daily, your daily dose of AI product management insights. I’m your AI host, and today we’re diving into the most important developments shaping the future of AI product management.
In development landmarks today, Alibaba’s Qwen team launched Qwen-Image-Layered, offering Photoshop-grade layering with physically isolated RGBA channels and a prompt-controlled structure for precise image decomposition.
In personalization news, OpenAI introduced new ChatGPT settings that let users adjust warmth, enthusiasm and emoji use, giving teams the ability to tailor the assistant’s tone to their audience.
In open-weight model updates, Phil Schmid released FunctionGemma and T5Gemma—optimized for on-device agentic actions and multimodal applications—both supporting a 32,000-token context window for long-form workflows.
On the tool front, Josh Woodward unlocked the ability to attach a NotebookLM notebook directly inside GeminiApp on the web, with mobile support slated for next year.
Closely related, LangChain AI rolled out a connector between Claude Code and LangSmith, enabling full observability into every LLM call and tool invocation within Claude Code workflows.
Turning to management strategy, Claire Vo notes that while enterprise users tolerate change, the real blocker is relearning, arguing that rapid iteration trumps slow, bulky release cycles.
Lenny Rachitsky adds that AI products require a quarterly reassessment of product-market fit to keep pace with underlying technology shifts.
George Nurijanian points PMs to three essential resources: ncase.me/loopy for systems thinking, toughtongueai.com to prepare for high-stakes interactions, and prodmgmt.world for structured planning frameworks.
Meanwhile on LinkedIn, Peter Yang warns candidates to ditch generic labels like “strategic product leader” or “Agile/Scrum expert” and instead highlight what they shipped and the impact it drove. In a related post, Jaskaran Bedi reminds us that AI won’t replace PMs but will amplify them, urging organizations to recalibrate around validate, build, enhance and grow—and to recruit “PM builders” who embed AI into workflows and upskill teams for continuous delivery.
In other LinkedIn-driven demos, Peter Yang showcased Teresa Torres’s setup with dual Claude Code terminals in Obsidian, illustrating how on-device LLMs can manage to-do lists, draft content and streamline end-to-end PM workflows.
Carl Vellotti argues that skipping on-device LLMs like Cursor or Claude Code risks falling behind, walking through a unified AI copilot workflow from multi-model research to prototype decks, PRDs, Jira tickets and status updates—all within a single tool.
In industry outlook, Andrew Ng reminded us that large language models remain general but “not that general,” and that improving their knowledge is still a piecemeal process.
Aakash Gupta highlighted OpenAI’s plan to raise $100 billion at an $830 billion valuation—implying a 44-times revenue multiple against its $19 billion annualized run rate.
Separately, Demis Hassabis announced that Google DeepMind will contribute to the White House’s Genesis Mission, giving National Lab scientists accelerated access to frontier AI models and agentic tools.
On the frontier of research, Gemini 3 Flash hit 95.2% accuracy on the AIM mathematics benchmark—nearly halving its predecessor’s error rate—while still hallucinating outputs 91% of the time when wrong, compared to GPT-5.1’s roughly even split between errors and refusals.
DeepMind co-founders envision converging Gemini 3, Nano Banana Pro, Genie 3 and Simmer 2 into a unified “proto-AGI,” with a 50-50 chance of minimal AGI by 2028 amid looming compute funding plateaus.
And in a hands-on demonstration, “All About AI” built a voice-driven web app that taps Whisper for transcription and Gemini 3 Flash for real-time code updates. The pipeline used function-calling to invoke setImage, install packages and create interactive elements such as a bouncing red ball with physics and a word-image matching game, then spun up a Minecraft-style 3D environment on the fly—with circling cows, an AI god statue triggering a particle explosion, and even a meme-filled sky—all controlled by pressing “T.”
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!