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Huawei’s answer to Nvidia isn’t a faster chip, it’s a much bigger machine30m ago The new AI builder: Skills for the agentic AI era35m ago Could AI really kill us all? Your questions, answered.41m ago Microsoft executive called OpenAI's web scraping the 'largest theft of labor in human history'48m ago This tiny cybersecurity startup managed to hack OpenAI using Claude, and won a $6,500 bounty49m ago The Morning Risk Report: Senators Ask FTC to Probe Walmart and Amazon Over Bots’ ‘Made in America’ Data54m ago The AI Race Is Becoming A Silicon Race55m ago The 700-Agent Swarm: What OpenAI And Hugging Face Taught Business Leaders56m ago Google will now let any AI agent run your smart home59m ago What Rules AI Agents1h ago The Alignment Problem in Alignment Research(ers): a Voluntaryist Meta-Ethics Perspective1h ago Hugging Face AI Hack Shows Humans Can Keep the Technology in Check1h ago What 25,000 Startup Applications Reveal About The New Rules Of Seed-Stage Startups1h ago Here’s What the AI Apocalypse Could Look Like1h ago

Machine Learning Agents5 min reading time

Alibaba Qwen Releases Qwen3.8-Omni-Flash: A 1M-Context Omni-Modal Model Built Around Agentic Audio-Video Understanding and Tool Use

MarkTechPostPublished 3 hours ago

Alibaba's Qwen team launched Qwen3.8-Omni-Flash, an omni-modal AI model handling text, images, audio, and video with a 1 million token context window. It features agentic audio-video understanding, tool use, and is available via API on Alibaba Cloud but not open-sourced.

#alibaba #alibaba-cloud-model-studio #long-context-models #multi-modal-ai #qwen-studio #qwen3-8-omni-flash #qwencloud

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