OpenClaw’s biggest update aims to make AI agents easier to use

Open-source AI platform OpenClaw has released version 2.0, its largest update so far. The release combines a simpler installation process, a redesigned browser app, and shared cloud sessions that let several people work with the same AI agent. According to the OpenClaw Foundation, 933 contributors worked on the update, which includes more than 16,000 pull …

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Qwen3.8-Flash-Next: Alibaba puts a 125-billion-parameter model on a 6-billion-parameter diet

Alibaba has introduced Qwen3.8-Flash-Next, a multimodal AI model designed to deliver strong coding and workplace performance while using far less computing power than larger rivals. Matthias Bastian reports for The Decoder that the release also previews architectural ideas Alibaba plans to bring to its future Qwen4 model family. Qwen3.8-Flash-Next contains 125 billion parameters overall, but …

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Ox Alpha steps out of the shadows as Z.ai’s GLM-5.3-Flash

Chinese AI company Z.ai has confirmed that the previously anonymous Ox Alpha model is GLM-5.3-Flash, a new multimodal member of its GLM model family. The company says it plans to release the model’s weights, allowing developers to run, adapt and build products with the system. Luz Ding reports for Bloomberg that Ox Alpha rose rapidly …

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Perplexity launches local AI agent Portable Computer with Nvidia

Perplexity has launched Portable Computer, a version of its AI agent platform that runs on a user’s own Nvidia equipped hardware rather than primarily in the cloud. Michael Nuñez reports for VentureBeat that the product was developed with Nvidia and is initially available for Linux systems with supported RTX graphics cards and Nvidia’s DGX Spark …

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Apple’s M5 Ultra Mac Studio targets large local AI models

Apple has introduced a new Mac Studio built around its M5 Ultra chip, positioning the desktop as a machine for running large AI models locally rather than relying entirely on cloud services. The top configuration supports up to 512GB of unified memory, a key specification for people who want to load larger language models, image …

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Alibaba’s Qwen3.8-27B brings advanced AI tasks to local hardware

Alibaba has released Qwen3.8-27B, an open-weight AI model designed to handle coding, reasoning, images and video on local machines. Carl Franzen reports for VentureBeat that the 27-billion-parameter model is available under the Apache 2.0 licence, allowing companies and developers to download, adapt and host it themselves. The release has attracted attention because of its balance …

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LTX-2.5 launches open video model with native ComfyUI support

LTX has released LTX-2.5, an open-weights video and world model designed for faster generation, local deployment and integration into creative workflows. Carl Franzen reports for VentureBeat that the model is available through Hugging Face, the LTX API and ComfyUI, where it launches with native support. The release adds native multishot generation, allowing users to create …

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Nvidia says Nemotron 3.5 Lightning can speed up enterprise AI agents

Nvidia has introduced Nemotron 3.5 Lightning, an open artificial intelligence model designed for high volume agent tasks, alongside NeMo Switchyard, a tool that routes tasks between different AI models. Kyt Dotson reports for SiliconANGLE that the releases target companies that use AI agents for a mix of routine requests and more demanding reasoning work. Nemotron …

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Meta releases Muse Glimmer and renews its push for open AI models

Meta has released Muse Glimmer, a 30-billion-parameter AI model that developers can download, modify and run on powerful personal computers. The move marks a renewed commitment to openly available model weights after Meta shifted its newer Muse family toward proprietary releases earlier this year. Glimmer is available under the Apache 2.0 license, which permits commercial …

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Liquid AI puts a 2.6 billion parameter agent in a Raspberry Pi

Liquid AI has released LFM2.5-2.6B, an open-weight language model built to run AI agents directly on local hardware, including laptops, smartphones and Raspberry Pi computers. Carl Franzen reports for VentureBeat that the model targets companies that need lower latency, tighter data control or lower operating costs than cloud-based AI can offer. The 2.6 billion parameter …

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