
Musubi Launches PolicyLM-1.7B for Real-Time AI Content Moderation
Musubi has released PolicyLM-1.7B, an open-weight decision model designed to apply plain-English moderation policies to content in real time.
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Musubi has released PolicyLM-1.7B, an open-weight decision model designed to apply plain-English moderation policies to content in real time.

Mistral launched Large 4, a 1-trillion-parameter multimodal AI model in public preview, with open weights planned for release by the end of October.

Reflection AI has unveiled Beam, a 501B open-weight model designed for coding, reasoning, and agentic tasks with lower inference compute.

PrismML brings its 1-bit Bonsai LLM to Qualcomm’s Snapdragon AR1 Gen 1 platform, enabling local vision-language AI on next-generation smart glasses.

Salesforce and Nvidia launched Koa, a CRM reasoning model built on Nemotron for Agentforce, using synthetic data to support complex enterprise AI tasks.

Moonshot AI is targeting $2 billion in annualised revenue by year-end, driven by strong usage and commercial growth from its open-weight Kimi K3 model.

Qwen 3.8 27B hit 3 million downloads in three days and now rivals paid frontier AI, all from a free model you can run at home. Here’s how it got so good.

Meta has released Muse Glimmer, a 30-billion-parameter open-weight AI model designed to run personal AI agents locally on consumer computers and GPUs.

A new SaferAI report says China’s GLM-5.2 is nearing frontier AI capabilities, but its lack of safety measures highlights growing concerns over open-weight models.

Anthropic CEO Dario Amodei says he does not support banning open-weight AI models but remains concerned about powerful Chinese AI and potential security risks.

Leading AI companies have urged U.S. policymakers to avoid broad restrictions on open-weight AI models as Washington considers measures targeting Chinese AI firms.

Arcee CTO Lucas Atkins argues that Chinese open AI models should be challenged through innovation rather than bans, saying enterprises can safely evaluate and deploy them.
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