A playable, digital piano built with Gemma 4 E2B (2B).https://t.co/aUZlhF3ER2
— Google AI (@GoogleAI) 10 avril 2026
A playable, digital piano built with Gemma 4 E2B (2B).
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Playable Digital Piano Built with Gemma 4 E2B
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Image Classification App Built with Gemma-4-E4B Vision
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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 2026An app built with Gemma-4-E4B that classifies images using the model’s vision capabilities.
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Community Builds with Gemma 4 Open Model Family
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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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Building AI Agents: Knowledge, Tools, and Process Essentials
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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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Hugging Face Kernels: Enabling AI Builders with Optimized Binary Operations
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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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OpenClaw: Multi-Provider AI Model Support Development
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I have two jobs, and in my personal time I wanna make sure OpenClaw works for ANY model provider, local or cloud.
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Muse Spark API Coming Soon for Developers
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🔜 Alexandr Wang (@alexandr_wang) the muse spark API will be coming soon! we have been thrilled with the amount of excitement amongst developers who want to try muse spark inside their agentic harnesses stay tuned! — https://nitter.net/alexandr_wang/status/2042614906059387211#m
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OpenClaw Compatibility Challenges with Anthropic Models Ahead
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Yeah folks, it's gonna be harder in the future to ensure OpenClaw still works with Anthropic models.
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Muse Spark API Coming Soon for Developer Integration
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the muse spark API will be coming soon! we have been thrilled with the amount of excitement amongst developers who want to try muse spark inside their agentic harnesses stay tuned!
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RWS Language Weaver AI Translation Model Powers Command
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We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution. https://t.co/0xCCwG3EU0
— Cohere (@cohere) 10 avril 2026We worked with @RWSGroup to fine-tune our Command translation model, which improved language and cultural expertise. Now, that model is the “brain” that powers RWS’ Language Weaver AI translation solution.