Nemotron 3 Nano Omni was designed for powering subagents. Instead of stitching together separate models for language, vision, and speech, it ties them into a single architecture that more efficiently feeds context to orchestrators.
GENERATIVE AI
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Nemotron 3 Nano Omni: Efficient Open Multimodal Model Released
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Meet Nemotron 3 Nano Omni 👋
— NVIDIA AI (@NVIDIAAI) 28 avril 2026
Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy.
30B parameters. 256K context length. 🧵👇 pic.twitter.com/j4SPpU9SaIMeet Nemotron 3 Nano Omni Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy. 30B parameters. 256K context length.
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Live AI Tool Launch with Research Paper Available
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Before you dive into the paper, you can try it live here: http://
plurai.ai/launch Paper: http://
plurai.ai/papers -
New Method to Train and Evaluate AI Agents Efficiently
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Vibe train your AI agents. There's a new method that could replace LLM-as-a-judge for production agents. Most teams rely on a giant LLM as a judge to evaluate and guard their agent. But it has two major drawbacks: – It's slow and expensive at inference time
– It often misses -
Live Session on Building LLM Knowledge Bases Tomorrow
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Live session on how to build LLM knowledge bases tomorrow: https://
academy.dair.ai/dashboard/even
ts/cmnivyzyp001n04k1rnozju2n
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Microsoft Presents World-R1: 3D Constraints for Video Generation
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Microsoft presents World-R1
— AK (@_akhaliq) 28 avril 2026
Reinforcing 3D Constraints for Text-to-Video Generation
paper: https://t.co/07BWqkSdwd pic.twitter.com/WuRwRZfAmOMicrosoft presents World-R1 Reinforcing 3D Constraints for Text-to-Video Generation paper: https://
huggingface.co/papers/2604.24
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Poolside Releases Laguna XS and M Coder Models on Hugging Face
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If you've ever wondered what Poolside was up to… They've been cooking!
They just released Laguna XS and M, their first ever public models, on Hugging Face:
– Two coder models: one is 225B params, of which 23B active, the other is 33B-3A.
– hybrid attention: global v. sliding -
Claude Detects When Users Switch to Codex LLM
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Someone discovered that Claude knows when you've been cheating on it with Codex. Lucas maintains an open relationship with his LLMs. Source: https://
reddit.com/r/ClaudeAI/com
ments/1sxe46v/claude_knows_when_you_cheat_on_it_with_codex/
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Reconsidering Hasty Judgment on Anthropic AI Product
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i deleted that anthropic blender post. You guys made me think and brought up good arguments. Maybe i was too quick with my judgment. I need to think about it.
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ChatGPT’s New Image Model Analysis Examples
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Here you have a few more examples of use in my analysis of ChatGPT's new image model