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.
LLMS
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Image Classification App Built with Gemma-4-E4B Vision
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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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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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New research framework proposes training tools instead of retraining AI agents
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Stop retraining your AI agents. Train their tools instead. Most AI agents look great in demos. Then they break in production. A new paper from Stanford and Harvard explains why. It introduces a framework that changes how we think about building agents. The core finding: when
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Understanding Composite AI: The Future of Intelligence Systems
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What Is Composite AI?
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -
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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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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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.
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Agent Harnesses: Stable Abstractions for LLM-Based Systems
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im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing so much in deepagents) we always wanted to run llms in a loop and have them call tools (remember autoGPT? that's all that was) but the
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Sonnet Model Performance Issues and User Experience Improvements
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I have the same problem. Better results with Sonnet. Are they victim of their success? I’m sure they will fix.