AI 资讯 · 2026-10-12
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智谱新模型,490 tokens/s!
GLM「速度仙人」来了?
评分明细
重要性 5 新颖度 5 信源权威 5 技术深度 5 实体加权 ×1.30 -
Meta has some Wonder Full new AI models
Meta is making up for lost time in the AI race. After launching Muse Spark, the first model from its revamped Superintelligence Labs division, and buzzy AI agent Muse, it's now launching two new models it claims can go toe-to-toe with the industry's best. The new models, Muse Wonder and Muse Wonder Full, are available […]
评分明细
重要性 5 新颖度 5 信源权威 5 技术深度 5其他信源 (4)
Meta has some Wonder Full new AI models The Verge AIMeet the Anthropic Engineer Keeping Its AI Agent Trustworthy IEEE Spectrum AI
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微软用阿里Qwen打造决策模型,或将推广至所有领域
10月12日,微软基于阿里Qwen,推出全新决策模型Microsoft-Decision-1。微软官方透露称,该模型基于Qwen3.5-9B后训练而成,在结构化决策任务中,该模型在时延和准确性等方面均超过了LLM及Jev 1.13.0等热门决策模型。微软Xbox研究团队已用它处理超过1万条玩家反馈,微软CEO纳德拉也在社交媒体上透露称,基于新模型的优异表现,微软正在所有领域测试应用新模型,包括事件响应、质量控制、科学发现等。据了解,9月Jev模型爆火带起了一股决策模型浪潮。这种模型不生成自然语言,而是输出预测值、概率和置信度,比大语言模型LLM尺寸小得多,响应速度也更快,恰好能满足AI任务中的频繁作判断的大量需求。有数据统计显示,在HuggingFace 129 个开源决策模型项目中,基于阿里Qwen开发的就有84个,占比超65%,包括微软、Perplexity、Cloudflare、H2O.ai等公司推出的知名决策模型均采用阿里Qwen。
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I Built a Trap for AI Image Judges. They Walked Into a Different One.
Three vision AI models ignored the pretty image, yet GPT-4o invented answers and Claude kept answering B. The post I Built a Trap for AI Image Judges. They Walked Into a Different One. appeared first on Towards Data Science.
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We Specified an AI Agent in 2016. We Called It Analytics.
Re-reading my own IBM patent on real-time concert feedback as what it actually was: an agentic loop with multimodal perception, memory-grounded inference, and a human in the loop. What it got right, and what a decade of hindsight teaches agent builders today. The post We Specified an AI Agent in 2016. We Called It Analytics. appeared first on Towards Data Science.
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阶跃 Step 5 Preview 接入腾讯 WorkBuddy,独家限免 2 周!
10 月 12 日消息,腾讯旗下全场景 AI 办公工作台 WorkBuddy 已接入阶跃最新旗舰模型 Step 5 Preview。即日起,该模型在 WorkBuddy 独家限时免费开放两周。凭借推理与 Agent 能力,Step 5 Preview 将助力 WorkBuddy 用户处理深度研究、信息检索、数据分析、文档与 PPT 生成等办公任务,并支持多步骤复杂任务的持续执行。Step 5 Preview 是阶跃发布的新一代旗舰基座模型,面向 AI 编程、软件工程、专业知识工作及金融等场景进行了优化,并在旗舰级综合智能、效率与成本间实现了最佳平衡。模型采用稀疏 MoE 架构,总参数量达 6000 亿,每个 Token 激活约 270 亿参数。第三方评测与平台使用数据进一步展现了其竞争力。全球权威大模型评测榜单 Artificial Analysis 显示,其综合智能指数为 44 分,位居全球开源前三。此外,上周 Step 5 Preview 登顶 OpenRouter Trending 榜首,并在按 Token 使用量统计的日榜中排名全球第二,体现出强大的模型性能和快速攀升的开发者