AI 资讯 · 2026-10-09
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再裁员5000人！保时捷明确回归燃油车，高端车型计划涨价20%；腾讯拟发行50亿美元离岸债券，或筹钱加码AI；OpenAI全面上线GPT-6
要闻提示再裁员5000人！保时捷明确回归燃油车，高端车型计划涨价20%阿里巴巴蔡崇信：开源是欧洲发展 AI 的最佳选择腾讯拟发行50亿美元离岸债券，或筹钱加码AI超33亿元！Manus拿下国内Agent创企最大单笔融资，腾讯投了7万人排队掏钱！小米公布澎程上市首月战报：30天锁单超70000台字节跳动前争议实习生开发世界模型：融资近3000万美元OpenAI面向全球所有ChatGPT用户全面上线GPT-6曝英伟达拟再投 10 亿美元加码人形机器人企业 Figure今日头条再裁员5000人！保时捷明确回归燃油车，高端车型计划涨价20%10月8日消息，德国豪华车巨头保时捷7日发布面向2035年的经营战略。受中国市场销量下滑影响，保时捷业绩持续低迷，此次计划最多裁员30%以缩减组织规模、累计裁员约9000人，同时将增加中大型跑车的投放，明确回归燃油车，意在改善盈利。保时捷表示，将在祖文豪森和魏斯阿赫两大工厂投资21亿欧元（约158亿元），同时再裁减5000个工作岗位，就业和厂址保护期延长至2035年底。这是保时捷继此前4000人裁员计划后的第二轮大规模人员缩减，累计裁员总数将达到9000人。
评分明细
重要性 6 新颖度 6 信源权威 6 技术深度 6 实体加权 ×1.76 -
字节找到了DeepSeek时强时弱的原因
答不答得对，得看Token站位
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 ×1.60 -
豆包工作新增画布功能，并接入豆包2.1 Lite模型
近期，豆包工作持续更新，推出创作画布功能，并在模型上新增了轻量级的豆包2.1 Lite模型。据介绍，画布功能主要针对复杂创作任务，速度更快，交互体验更好。该功能将素材、设计方案与创作成果集中到同一页面，用户可在一张无限画布上快速实现各个步骤，随时查看、对比和整理。图片生成后，用户仍可继续修改文字、配色和布局，从整体风格到局部细节逐步调整。该功能同时接入全新图片模型Seedream 5.0 Flash。在复杂创作流程中，相关Agent可从理解需求、规划方案开始，直至生成图片、视频和成套设计。用户打开豆包工作或是豆包网页版和电脑端工作任务模式，点击“技能”并选择“创建画布”，或是打开“创意设计”技能，输入提示词后，生成内容会自动汇入同一画布。此前，豆包面向对创意设计有高频需求的人群，还推出了创作额度包，使用额度更高。模型方面，豆包2.1 Lite本次接入豆包工作，主要面向日常问答、文档撰写、表格处理和PPT制作等高频办公场景，在响应速度与额度消耗上作了优化。该模型在图片、视频和音频理解方面能力较为突出，在教育、办公等多模态场景的表现有所提升。用户将客户端升级至最新版本，选择“豆包2.1 L
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重要性 5 新颖度 5 信源权威 5 技术深度 5 实体加权 ×1.30 -
OpenAI doubles down on decision to fire three AI safety researchers
OpenAI is standing firm on its decision to fire three safety researchers after an investigation found they committed "a significant breach of trust." In a post on X on Friday, the company said Jasmine Wang, Tomek Korbak and Mikita Balesni were dismissed for violating "clear policies on handling sensitive information." It insisted the decision was […]
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 ×1.76其他信源 (2)
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Instinct was the buzziest AI agent around — can it survive Muse?
Before there were cute little guys, there was Instinct. In August, the startup got its AI agent to market with an unusual playbook: invite-only, no marketing, and barely so much as a website. And yet, Instinct quickly became the buzziest thing in AI, garnering praise for its straightforward, text message-based interface and its ability to […]
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Stop Using AI. Start Hiring It.
AI agents can now write more code than any of us can read. That changed how I think about AI. The post Stop Using AI. Start Hiring It. appeared first on Towards Data Science.
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Build Your First AI Agent with One Tool Call
AI Agents for Beginners, Part 1 The post Build Your First AI Agent with One Tool Call appeared first on Towards Data Science.
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Can TypeSafe's Jev Make AI Agents Safer Without Another LLM?
How a decision-first model can catch risky tool calls before they turn into real-world actions The post Can TypeSafe's Jev Make AI Agents Safer Without Another LLM? appeared first on Towards Data Science.
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Amazon drops data center NDAs, and AI agents want your credit card
Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access […]
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Amazon and others are done keeping data center deals secret. Is it enough to build trust?
Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access […]
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AI coding agents generate more code, but not more software
Study finds coding efficiency gains get "absorbed" by human review "bottleneck."
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The maker of non-text AI model Jev valued at $7.5B just weeks after launch
What has users and large corporations so excited about Jev is TypeSafe’s claim that it works significantly faster and uses far fewer tokens than LLMs.