We love seeing what you’ve built with Gemma 4, the open model family that we released last week. Here are a few fun examples, described by the builders in their own words ():
GENERATIVE AI
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Daily Life Adventure Game Prototype on Pixel 10 Pro
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A prototype that turns everyday life into something like an adventure game. It’s built on a Pixel 10 Pro with Gemma 4 via AI Core.https://t.co/AnBZ7GeS5F
— Google AI (@GoogleAI) 10 avril 2026A prototype that turns everyday life into something like an adventure game. It’s built on a Pixel 10 Pro with Gemma 4 via AI Core.
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Building Production-Ready Data and AI Apps on Databricks
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Your guide to building data and AI apps that actually make it to production As an app developer, you shouldn't have to spend months on DevOps just to get a prototype across the finish line. This ebook shows you how to ship production-ready data and AI apps on the Databricks
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Brain Upload via LLM Simulators: Near-term Tractable Alternative
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Yes it's the tractable form of brain upload. There's a ton of scifi on brain uploads that requires way too exotic tech (scanning and simulating brains etc), when we're about to get a lossy and approximate version of that *a lot* sooner via LLM simulators. You can easily imagine a
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Autonomous Geospatial Knowledge Graph with Agentic AI
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Join @DominoDataLab at #GEOINT2026 for our session on Autonomous Geospatial Knowledge Graph Construction: Leveraging Agentic AI for Conversational Intelligence Monday, May 4 2–3 PM MT Jarrod Vawdrey, Field Chief Data Scientist Add this session to your planner.
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PhD Defense on Reasoning Machines and Next Professional Chapter
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In 2023, I paused my PhD to join @OpenAI to build the world’s first reasoning machine — OpenAI o1. Earlier this year, I defended my PhD thesis “Building a Reasoning Machine” advised by @Yoshua_Bengio at @Mila_Quebec 🎓 🎉 Much has changed since Yoshua and I first discussed reasoning in 2022, but the main themes aged well: – Adding structures to computation unlocks strong reasoning capabilities; – Data & sample efficiency will become the bottleneck to useful intelligence; – Retaining Bayesian uncertainty is key to reliable and safe AI systems. You can read the introduction of my thesis here: edwardjhu.com/thesis/ My next professional chapter (TBA) will be on bridging frontier intelligence with real economic impact, a theme dear to my heart after working closely with @drwconvexity and @suna_said in the last year 🚀
→ View original post on X — @ceobillionaire, 2026-04-10 15:08 UTC
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AI Video Generation Achieves Realistic Dance Movement Synthesis
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These sorts of movements used to be impossible with AI.
— fofr (@fofrAI) 10 avril 2026
Seedance 2:
> A 90s era home video, she is street dancing on a warm city street at dusk in baggy 90s clothes to an early 90s hip-hop track, a group of people are around her cheering her moves, especially when she pulls out… https://t.co/425qNNJyh7 pic.twitter.com/XtXmf34GO4These sorts of movements used to be impossible with AI. Seedance 2:
> A 90s era home video, she is street dancing on a warm city street at dusk in baggy 90s clothes to an early 90s hip-hop track, a group of people are around her cheering her moves, especially when she pulls out -
Meta to Release Muse Spark API Soon
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Meta is planning to release Muse Spark on the APIs soon. Would be curious also to play with Meta’s 9B model if it will ever come out. Soon
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E2E Testing Strategy for AI Model Harness Compatibility
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We constantly run e2e tests to ensure harness changes don't break with most common models. That's all my org and my key… well, was.
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AI Transforms Filmmaking While Human Craft Remains Essential
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How AI Is Rewiring Filmmaking — And Why Craft Still Wins AI is transforming filmmaking workflows, but human creativity, storytelling and craft remain at the heart of great cinema. Read more https://
bernardmarr.com/how-ai-is-rewi
ring-filmmaking-and-why-craft-still-wins/
… #AI #Filmmaking #Creativity #BernardMarr