Model Release

Meta's New Models & Agent: Sam Witteveen's video examines Meta's Muse Spark Open, described as an 816B open-weights model, and separates what Meta released from what it kept closed. It also tests Muse Spark Open alongside Muse Wonder; the description does not report the test results.

AI Models • Sam Witteveen

Nvidia launches new open models to run AI agents in enterprise data centers and on PCs: Nvidia launched new open models designed to run AI agents in enterprise data centers and on PCs. The release supports on-device, private AI agents for organizations that want to use their own models.

Nvidia • TechCrunch AI

DeepSeek releases open-weight V4.1-Flash-1017, with search APIs at $0.75 per 1,000 calls: Deepseek released V4.1-Flash-1017, an open-weight model it says outperforms its predecessor on benchmarks, runs faster and returns shorter outputs. It also opened its search engine via Search and Fetch APIs at $0.75 per 1,000 calls; users in Claude Code and Codex get free access for now.

AI Models • The Decoder

Reflection AI releases Apache 2.0-licensed weights for Beam, a 501B-parameter model: Reflection AI released Apache 2.0-licensed weights for Beam, a 501B-parameter model. The model was trained with reinforcement learning that penalized unnecessary tokens. The company is pitching Beam against Chinese open models used by many U.S. companies.

Open Source AI • Techmeme

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

Apple to launch Apple Intelligence beta in China in October, Tim Cook says: Apple will release a beta of Apple Intelligence in China later in October, Tim Cook confirmed in an interview on October 15. He said initial features and the associated Alibaba Qwen models had received regulatory approval. The first batch includes live translation, writing tools and photo cleanup.

AI / Consumer Tech • TechNode