# News: January 30, 2026

> 7 curated links on AI agents, Python, security, Google Cloud, and engineering, selected by Médéric Hurier.

- Author: [Médéric Hurier (Fmind)](https://www.fmind.dev/)
- Published: 2026-01-30
- URL: https://www.fmind.dev/news/2026-01-30/

- [Project Genie: Experimenting with infinite, interactive worlds](<https://blog.google/innovation-and-ai/models-and-research/google-deepmind/project-genie/>): Google DeepMind releases Project Genie, a prototype powered by Genie 3 that creates navigable, interactive worlds from text and image prompts.
- [Towards a science of scaling agent systems: When and why agent systems work](<https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/>): Google Research derives quantitative scaling principles for agent systems, revealing that multi-agent coordination improves parallelizable tasks but can degrade sequential ones.
- [Inside OpenAI’s in-house data agent](<https://openai.com/index/inside-our-in-house-data-agent/>): OpenAI details their internal data inquiry agent, which uses a six-layer context stack including code enrichment and memory to deliver accurate analytics.
- [Beyond the Chatbot: A Blueprint for Trustable AI](<https://developers.googleblog.com/beyond-the-chatbot-a-blueprint-for-trustable-ai/>): Google Developers showcase a "Split-Brain" architecture for real-time agents, combining Gemini Nano for edge reflexes and Gemini 3.0 for strategic reasoning.
- [Introducing Conversational Analytics in BigQuery](<https://cloud.google.com/blog/products/data-analytics/introducing-conversational-analytics-in-bigquery/>): A new preview feature in BigQuery uses Gemini agents to allow users to generate SQL queries, visualizations, and predictive analytics using natural language.
- [Introducing Google Cloud Vertex AI Extensions for .NET](<https://cloud.google.com/blog/topics/developers-practitioners/introducing-google-cloud-vertex-ai-extensions-for-net/>): The new Google.Cloud.VertexAI.Extensions library enables .NET developers to access Vertex AI Gemini models using Microsoft.Extensions.AI abstractions.
- [Gemini in navigation is now available for walking and cycling in Google Maps](<https://blog.google/products-and-platforms/products/maps/gemini-navigation-biking-walking/>): Gemini integration extends to walking and cycling modes in Google Maps, offering hands-free assistance and contextual recommendations.