You can now Vibe Code using Google Gemma 4 without internet. 100% free, local and Open Source.
OPEN SOURCE
-
NVIDIA Nemotron 3 Nano Omni: 30B Multimodal Open Model
By
–
🆕 @NVIDIAAI drops Nemotron 3 Nano Omni: Open 30B multimodal beast for text/images/video/audio! 256K ctx, 9x throughput, crushes docs/GUI/video ASR. Agentic AI game-changer.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 29 avril 2026
Try it: https://t.co/rx8uMXquxk & HF ckpts.… pic.twitter.com/yrnzfIvQ0f@NVIDIAAI drops Nemotron 3 Nano Omni: Open 30B multimodal beast for text/images/video/audio! 256K ctx, 9x throughput, crushes docs/GUI/video ASR. Agentic AI game-changer. Try it: https://
fal.ai/nemotron & HF ckpts. -
Codex Instance Detects Code Regressions on Main Branch Commits
By
–
I'm now spinning up a codex instance on every commit landing on main, looking for booboos (regressions, security issues) It's live for 10 min and already found one of mine. https://
github.com/openclaw/claws
weeper/blob/main/records/openclaw-openclaw/commits/212a32648fe70e9f8088d8145736a0e31e6ba0b3.md
… -
Claude Opus 47 Context Worlds: Hosted Generations on GitHub
By
–
Hosted generations: https://
petergpt.github.io/claude-opus-47
-context-worlds/
… GitHub: https://
github.com/petergpt/claud
e-opus-47-context-worlds
… -
Sigma: Private AI Browser Running Agents Locally
By
–
Sigma: A fully private AI browser that runs agents locally on your machine.
— Chubby♨️ (@kimmonismus) 28 avril 2026
-No cloud.
-No data leaving your device.
-Open Source
Qwen, Gemma, Nemotron – all running right in your browser. This is the direction browser AI should go! https://t.co/JlTPqueuKRSigma: A fully private AI browser that runs agents locally on your machine. -No cloud. -No data leaving your device. -Open Source Qwen, Gemma, Nemotron – all running right in your browser. This is the direction browser AI should go!
-
Synthetic Pretraining Improves Reasoning in Sub-1B Models
By
–
Synthetic pretraining for sub-1B reasoning models Cool write-up from Tufa Labs (Matteo Saponati) on whether synthetic data augmentation actually helps very small (<1B) models reason better. They pretrain a 0.8B model with the Qwen3 architecture from scratch on 12B tokens of
-
SambaHouse AI Demo Night: Open-Source Models and Production Inference
By
–
We’re teaming up with @InfercomAI for SambaHouse AI Demo Night. Real demos, lightning talks, and honest conversations with builders working on open-source models and production inference. Details below
-
Build RAG Applications with Langchain and Streamlit Locally
By
–
Langchain + Streamlit: Build Your Own RAG and Run it Locally! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #NLProc #Python #RStats #TensorFlow #CloudComputing #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Build-Your-own
-RAG
… -
Poolside Releases Laguna XS.2 Open-Weight MoE Model
By
–
Today we’re releasing Laguna XS.2, Poolside’s first open-weight model.
It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks.
Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0.
Links Weights: