An app built with Gemma-4-E4B that classifies images using the model’s vision capabilities.https://t.co/vv7djYRhbk
— Google AI (@GoogleAI) 10 avril 2026
An app built with Gemma-4-E4B that classifies images using the model’s vision capabilities.
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An app built with Gemma-4-E4B that classifies images using the model’s vision capabilities.https://t.co/vv7djYRhbk
— Google AI (@GoogleAI) 10 avril 2026
An app built with Gemma-4-E4B that classifies images using the model’s vision capabilities.
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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 ():
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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 2026
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.

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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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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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great question! knowledge (system prompt, skills) and tools (apis, clis, whatnot) will always be needed, even as the best way to build agents changes i would focus on those and processes around those

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I wonder where the red lines are for getting invited for tea. Do they keep track of everyone with subversive sarcastic comments or do they just take down the video down? A friend in Shanghai was locked out of WeChat for a week after sharing a Les Miserables song during covid.

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In a world where writing code to build websites and apps is trivial (thank you Lovable, Cursor, Claude,…), the real differentiation for you and your company (and what makes you successful) will be how you manage to train, run and optimize AI models yourself. That's why at Hugging Face, we're doubling down on enabling more to become AI builders rather than AI users. We're releasing this week Kernels on the Hugging Face hub. This repo type is for the hardcore AI engineers among you. Kernels are collections of optimized binary operations where hardware providers support is a first-class citizen: – CUDA – ROCm – Apple Silicon – Intel XPU Expect to see more of this repo type on Hugging Face in the coming days. Featured here: the Flash Attention kernel from @sgl_project team ❤️
→ View original post on X — @clementdelangue, 2026-04-10 15:23 UTC
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why not? what in the current harnesses are not bitter lesson-pilled? off top of head: will go away:
– planning tools
– compaction (or at least will matter less) not going away:
– sub agents
– skills
– filesystem access
– bash
– websearch
– mcps what else?

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Top 9 #Algorithms that Power the Modern World
by @Python_Dv #AI #DataStructures #ArtificialIntelligence