LLM News

Every LLM release, update, and milestone.

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model releaseNVIDIA

NVIDIA Releases Nemotron 3.5 Content Safety: 4B-Parameter Multimodal Model with Custom Policy Enforcement and 140-Langua

NVIDIA has released Nemotron 3.5 Content Safety, a 4B-parameter model built on Google Gemma 3 4B IT that provides multimodal safety classification across approximately 140 languages. The model includes a 128K context window, custom enterprise policy enforcement, auditable reasoning traces, and is releasing its training dataset.

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product updateReplit

Replit Agent now generates custom Shopify storefronts in 10 minutes from a single prompt

Replit launched an integration allowing its AI Agent to design and deploy custom Shopify storefronts from natural language prompts. The system generates the front end, provisions a Shopify store, and adds products in a single conversation, with the entire process from first prompt to accepting orders taking roughly 10 minutes.

2 min readvia replit.com
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model release

Ideogram 4: 9.3B parameter open-weight text-to-image model with native 2K resolution and structured JSON prompting

Ideogram has released Ideogram 4, its first open-weight text-to-image model with 9.3 billion parameters. The model supports native 2K resolution, structured JSON prompting with bounding-box layout controls, and is available in nf4 and fp8 quantizations under a non-commercial license.

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product update

Google AI Edge Gallery launches on macOS with Gemma 4 12B, 12-billion-parameter model for local inference

Google launched AI Edge Gallery for macOS, allowing Mac users to run Google's Gemma models locally. The platform ships with five Gemma models, including the newly released Gemma 4 12B—a 12-billion-parameter multimodal model that handles text, vision, and audio while running on consumer laptops with 16GB of RAM.

2 min readvia 9to5mac.com
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model release

Ideogram Releases First Open-Weight Image Model With 9.3B Parameters and 2K Native Resolution

Ideogram has released Ideogram 4, a 9.3B parameter open-weight text-to-image model trained from scratch. The model features structured JSON prompting, native 2K resolution output, and ranks as the top open-weight model on Design Arena. Available in fp8 and nf4 quantizations under a non-commercial license.

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model releaseGoogle DeepMind

Google DeepMind Releases Gemma 4: Encoder-Free Multimodal Models from 2.3B to 30.7B Parameters

Google DeepMind released Gemma 4, a family of open-weight multimodal models ranging from 2.3B to 30.7B parameters. The flagship 12B Unified model eliminates separate encoders, processing text, images, audio, and video directly through a single decoder-only transformer with up to 256K token context window.