Genie 4 is pretty impressive. I find the visuals to be very realistic and high-quality. The ability to prompt anything into the world and have it just appear opens up all sorts of possibilities to steer a scene in whatever direction you want. I found it really difficult to control the object on the screen, the monkey, the car, and the bi-plane all sort of ignored my attempts to steer them. There was also some temporal coherence issues where I'd turn around and face a different direction and then return to my original position and things would have changed. The Mustang, for instance, changed directions when I turned around. When it drove off later in the scene, it turned into a taxi... Little things like that change over time. Visually, however, it's really impressive. (IMO)

Genie 4 is here and it comes native audio, characters that move and talk, sharper physics, and live prompt edits. Genie is a real-time multimodal world model that renders playable environments frame by frame in response to your live keyboard controls and text prompts. Sign up for the waitlist (Google AI Ultra goes first): More Examples at:

Genie 4 runs DOOM: "Walking through a typical office but every computer is running DOOM and all of the walls are also running DOOM and also everything is DOOM" "My coworker who is a demon appears" "He has a chaingun" "He gives me a bonus"

Genie One just got a major set of updates across context, data access, collaboration, and automation. 🧞 Here's what you can do now: • Ask questions with business-aware context built in. Genie Ontology is enabled by default • Apply your org's data conventions to every prompt with workspace instructions • Upload Word docs, images, CSVs, spreadsheets, and PDFs directly into your workflow • Query Unity Catalog tables inside Genie with schema preview and one-click access requests • Automate recurring work with scheduled tasks that reference past runs for consistent outputs @YoussefMrini walks through all of it in under 3 minutes:

Genie Ontology works on day one, but the quality of its answers improves as the business context underneath it gets stronger. A practical path is to build that context layer by layer: ↳ Strengthen the data foundation ↳ Enrich metadata ↳ Model critical business semantics ↳ Curate trusted assets ↳ Govern access ↳ Evaluate and improve over time You don’t need to tackle everything at once. Start with one high-value domain, harden the definitions and sources that matter most, then expand as you learn. Read the guide:

Genie One MCP is a new way to bring governed business context into the AI assistants and coding agents your teams already use. It connects MCP-compatible clients like ChatGPT, Claude and Microsoft Copilot to Genie One, so they can work with approved definitions, trusted data relationships and permission-aware access. Our latest walkthrough covers how to set it up, how identity and access controls work, and best practices for managing and monitoring it in production:

Databricks Genie One MCP is now generally available! Teams working in ChatGPT, Claude, Cursor, or custom agents can now use one interface to access structured and unstructured data, insights, and answers from Genie One, grounded in governed business context from Genie Ontology. Key highlights: • 𝐂𝐨𝐧𝐬𝐢𝐬𝐭𝐞𝐧𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐨𝐧𝐭𝐞𝐱𝐭 across agents, with shared definitions and domain semantics • 𝐑𝐢𝐜𝐡, 𝐝𝐚𝐭𝐚-𝐬𝐦𝐚𝐫𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬 including questions, results, visualizations, and Genie Ontology citations • 𝐂𝐞𝐧𝐭𝐫𝐚𝐥𝐢𝐳𝐞𝐝 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 through Unity Gateway, with fine-grained policies and audit logging Genie One MCP brings trusted business context into the tools teams already use.

Thanks @geniebouchard & @keegan_young08 for the challenge! Share your Infinite Dangles Challenge with @Rogers and #InfiniteDangles# & challenge two friends, for a chance to go to the 2020 Cup Final. I’m tossing this to @jeberle_7 & all Greater Kingston Jr. Frontenacs - you’re up!