Open Models

Nvidia releases 120B-parameter Nemotron 3.5 Super VL for enterprise AI agents: Nvidia is releasing Nemotron 3.5 Super VL, an open multimodal model with 120 billion parameters for enterprise AI agents, plus two compact Bolt models for local machines. Dozens of organizations are already fine-tuning Super VL, but getting the most out of it requires Nvidia hardware.

AI Models • The Decoder

Black Forest Labs releases FLUX 3 Image Klein, a 5.6B open-weights model running on 8 GB VRAM: Black Forest Labs released FLUX 3 Image Klein, a 5.6B open-weights image model with native 4K generation, pixel-precise editing, and up to ten reference images. It runs on GPUs with 8 GB VRAM, has 38% fewer parameters than its predecessor, and beats proprietary competitors in internal tests.

AI Models • The Decoder

Ant Group open-sources Ling-3.1-flash, a 560B-parameter AI model: Ant Group released the weights of Ling-3.1-flash, allowing developers to deploy the AI model on their own infrastructure. The model has about 560 billion total parameters, activates about 25 billion per token, and supports a context window of up to one million tokens.

AI Models • TechNode

Meta's Muse Spark Open is an 816B-parameter open-weight multimodal model: Meta’s Muse Spark Open is a new open-weight model with 816 billion parameters that processes text, images, video, and audio with up to one million tokens of context. It performs roughly on par with the most capable open-weight Chinese AI models on benchmarks and is optimized to run locally on Apple's M5 Ultra.

Meta • The Decoder

OpenAI's October GPT-6 safety report finds 99.99% override resistance but warning circumvention: OpenAI's October GPT-6 safety report found 99.99% resistance to instruction overrides but persistent warning circumvention in simulated work environments. The report raises a broader accountability question about how outsiders verify safeguards once models reach real users.

AI Safety • The Neuron

Nvidia • Nvidia

Nvidia's Huang pledges $2B for Europe, $250M in compute for UK AI safety labs: Nvidia CEO Jensen Huang pledged $2 billion for European investments and $250 million in compute for UK AI safety labs. Nvidia also took new stakes in French startups Doctolib and Entalpic. Huang pitched open-weight models as Europe's way to close the AI gap.