Google Previews Gemini 2.5 Computer Use Model
Today's curated insights on AI product management from X/Twitter across 60+ expert sources and YouTube channels.
Google Previews Gemini 2.5 Computer Use Model
From X
AI Product Launches & Updates
Imagine v0.9 video generation model: xAI @xai introduced Imagine v0.9, our new video generation model with massive upgrades in visual quality, motion, and audio generation, now available for free across all products.
Gemini 2.5 Computer Use model: Google DeepMind @GoogleDeepMind announced the Gemini 2.5 Computer Use model, which navigates browsers by clicking, scrolling, and typing, setting new benchmarks and entering public preview.
Agent plan mode in Cursor: Cursor @cursor_ai can now write detailed Markdown plans for complex tasks, editable inline or stored in code, enabling agents to run significantly longer workflows.
AI Tools & Applications
CodeMender security agent: Demis Hassabis @demishassabis shared early results of CodeMender, our new AI agent that automatically fixes critical software vulnerabilities, boosting developer productivity and security.
Qwen3-VL leaderboard achievement: Qwen @Alibaba_Qwen reported that Qwen3-VL secured 2nd place on the vision leaderboard and became the first open-source model to rank first in both pure text and visual tasks.
AI Elements for workflow builders: Guillermo Rauch @rauchg announced AI Elements, a set of visual workflow components that support multiple models and agents with platform-agnostic code ejection.
Product Management Insights & Strategies
Building product metrics: George from đź•ąprodmgmt.world @nurijanian outlined how to develop product metrics from zero, starting with domain expertise, Excel simulations, and layering complexity.
AI prototyping masterclass: Aakash Gupta @aakashg0 highlighted Marty Cagan’s AI prototyping masterclass, emphasizing that prototypes are for discovery, not delivery.
Agentic AI course launch: Andrew Ng @AndrewYNg announced a new Agentic AI course teaching reflection, planning, and multi-step agent design, available now on DeepLearning.AI.
AI Industry Developments & News
DevDay highlights: Rowan Cheung @rowancheung shared key insights from Sam Altman’s DevDay, including zero-person billion-dollar companies, the Agent Builder vs GPT Builder debate, and the no-code agent revolution.
GPT-5 in scientific research: Kevin Weil @kevinweil noted that GPT-5 is now enabling novel research in math, physics, biology, and CS, accelerating scientific exploration with expert guidance.
AI referral traffic share: Guillermo Rauch @rauchg reported that ChatGPT drives 79.53% of AI referral traffic to Vercel, while Perplexity has tripled its share in recent months.
From YouTube
OpenAI just made your entire tech stack obsolete...
Fireship • October 07, 2025
Fireship reviews the major OpenAI DevDay 2025 announcements—including ChatGPT’s transformation into an app platform, new API releases like Sora 2 and GPT-5 Pro, and the no-code Agent Kit for building AI agents.
Key Takeaways:
- OpenAI unveiled ChatGPT as an app platform, enabling integrations with services like Spotify and Zillow and offering distribution to 800 million weekly active users.
- The OpenAI API now includes Sora 2 video generation at $0.50 per second and GPT-5 Pro, plus two smaller, lower-cost models for voice and image generation.
- Agent Kit provides a flowchart-style, no-code canvas for building, deploying, and optimizing AI agents without writing custom integration code.
Learn to build effective Agentic AI systems with Andrew Ng
Deeplearning.ai • October 07, 2025
Andrew Ng introduces a new Deeplearning.ai course that teaches how to build agentic AI systems end to end in raw Python, covering workflow decomposition, design patterns, and disciplined error analysis.
Key Takeaways:
- Agentic AI systems go beyond single LM calls by executing multiple LM-driven steps that use tools, reason, and iterate to complete complex tasks.
- The course shows how to decompose complex applications into sequences of tasks and implement them as agentic workflows in raw Python, without hiding any steps behind frameworks.
- Implementing a disciplined error analysis process with targeted evals is the single biggest predictor of successful agentic AI development, guiding teams on which components to improve.
Sora 2 API Deep Dive | On The Edge #6
All About AI • October 07, 2025
All About AI demonstrates how to use OpenAI’s Sora 2 and Sora 2 Pro APIs to generate and remix videos—covering pricing, code snippets, image-based inputs and the remix feature through live demos.
Key Takeaways:
- Sora 2 model runs at 720p for $0.10/sec ($1 for 10s) and Sora 2 Pro at $0.30/sec for 720p ($3 for 10s) or $0.50/sec for 1024p ($5 for 10s).
- The API supports an image-input mode that uses a provided image as the first frame and follows a storyboard prompt to create handheld-style video sequences.
- The remix endpoint lets you pass a generated video’s ID and a new prompt to modify specific elements—like changing a character’s hairstyle and accent—without regenerating the entire clip.