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10月5日周一
  1. Emad20

    是啊。这也是税收型UBI行不通的原因之一,美国税收中劳动份额约占80%

    引用The Economist@TheEconomist

    What if AI cut labour’s share of national income by ten percentage points? Our analysis finds that a majority of governments that rely on taxing workers would be crippled https://www.economist.com/finance-and-economics/2026/09/29/how-the-ai-boom-could-worsen-the-rich-worlds-fiscal-crunch?taid=6ac24471d67e050001c6dac6&utm_campaign=trueanthem&utm_medium=social&utm_source=twitter

10月4日周日
  1. Emad17

    Meta 其实输了这场官司,被罚 180 亿美元,耸耸肩就继续了 史上最大的反垄断赔偿是 55 亿美元(Visa 和 Mastercard) 任何因放缓 AI 而生的罚款都只是这个数的一小部分 如果 AI 不协调就会违法/造成伤害,那这算不上反对协调的严肃论据

    引用David Krueger 🦥 ⏸️ ⏹️ ⏪@DavidSKrueger

    People at Anthropic keep telling me they can't coordinate to slow down because of anti-trust, but I've talked to leading lawyers who disagree. Meta spent $2,400,000,000 on lawyers in a single quarter fighting charges that its products hurt kids. How much has Anthropic spent on this anti-trust thing?

10月3日周六
10月2日周五
  1. Sam Altman23

    你应该能在任何需要的地方使用你的 AI 订阅:

    引用Vignesh@vigyso

    I am going to try and answer a bunch of questions that people have raised about Sign in with ChatGPT in the next couple of days. Before that, I want to let you all in to why we shipped Sign in with ChatGPT (SIWC) in the first place. Clarify our intentions here before getting to the specifics.

10月1日周四
  1. Google DeepMind82

    Google DeepMind 发布 Gemini 4 Argon 前沿模型

    Google DeepMind 宣布推出新前沿模型 Gemini 4 Argon,先通过 Fairwind Program 向受信任的网络安全防御方开放,后续再向开发者、企业和消费者推出。

    推荐理由:官方披露了 Argon 的输出上限、定价与多项基准成绩,可据此判断前沿模型在长任务上的能力边界。

9月30日周三
  1. Google DeepMind66

    Google DeepMind 推出 SynthID Bio,为 AI 生成的蛋白质加可验证水印

    Google DeepMind 发布 SynthID Bio,把水印技术引入合成生物学,将不可感知的签名嵌入生物代码,在实验室测试中保持蛋白质生物功能不变。该方法针对序列微调氨基酸选择、针对 3D 结构调整原子坐标,并在 AlphaFold 3 扩散网络中微调部分权重,使预测坐标自带可检测签名。

    推荐理由:Google DeepMind 把 SynthID 水印扩展到合成生物学,读者可了解其在蛋白质设计与结构预测中的嵌入方式及生物安全用途。

  2. Emad38

    Getty Images 花了约 2000 万美元对 Stability AI 提起一场毫无意义的诉讼(还得向 Stability 支付 600 万美元的诉讼费用),而且他们历来就有起诉创作者的历史。 实际上,(仍然)那里有一块年入 10 亿美元的良好稳健业务,要不是因为杠杆收购带来的 20 亿美元债务,以及他们在 SPAC 上试图招惹 Steve Cohen 的话。

    引用Brandur@brandur

    I worked for this company in 2011. Their game was to be the only marketplace in town and use oligopoly power to maximize margin by charging obscenely and pushing creator payouts to $0. Today, obliterated by AI. The NYSE is delisting them. Karma does catch up, occasionally.

  3. Qwen42

    Qwen3.8-27B 现已可通过 @nebiustf 使用。无论你是在构建智能体还是做深度研究,这款 27B 稠密模型都已准备好支持你的多步骤工作流!🥳

    引用Nebius Token Factory@nebiustf

    Qwen3.8-27B is now live on Nebius Token Factory. A compact 27B dense model for coding, research, and agent workflows, with a focus on planning and completing tasks across multiple steps. Start building: https://tokenfactory.nebius.com/endpoints?modals=endpoint-details&model-id=Qwen/Qwen3.8-27B

  4. Sam Altman62

    Sam Altman 转发 @thsottiaux 的内容介绍 6.1 Sol,称其智能水平接近 Astra,价格为 Astra 的五分之一,并提供 95% 的缓存读取折扣。该模型被形容为可承担大量日常任务的模型,配合 ultrafast 可实现 8 倍加速;ultrafast 今日已对 Astra 开放,6.1 Sol 稍后支持。

    引用Tibo@thsottiaux

    Introducing 6.1 Sol, near Astra intelligence at one fifth of the price of Astra and 95% cache read discount. It is an absolute workhorse. Combined with ultrafast for 8X speeded available today for Astra and coming soon for 6.1 Sol.

9月29日周二
  1. Microsoft Research62

    微软研究院推出面向生物学复杂性的 AI 研究系统 Quine

    微软研究院推出 Quine,一个由跨模态生物学世界模型和连接模型、科学工具、文献与研究者的交互框架组成的 AI 研究系统。该系统与 Broad Institute 合作用于胰腺导管腺癌研究,从数千个化合物中筛选并优先排序候选分子,湿实验显示排名最高的化合物产生了最大的经典态到基底态细胞状态转变,整个筛选到候选验证过程仅用一个周末。

    推荐理由:微软研究院公开 Quine 的生物学世界模型与实验编排框架,并给出胰腺癌化合物筛选的湿实验验证结果。

  2. Microsoft Research22

    Microsoft Research Asia 新加坡实验室成立一周年:推进前沿 AI 研究与产学研合作

    Microsoft Research Asia 新加坡实验室迎来成立一周年,这是微软在东南亚的首个研究实验室。该实验室围绕下一代 AI 模型与智能体系统、领域专用 AI、AI 原生研究实践、生态与人才培养四大方向展开工作,并在医疗健康领域与新加坡本地伙伴合作推进多模态医疗 AI 与自进化诊断智能体的落地。

9月26日周六
  1. Sam Altman62

    Sam Altman 表示,OpenAI 正对智能体在训练和评估期间使用互联网访问的情况进行大规模审查,并已在链接中持续发布摘要。他称审查进度未达预期,原因是需从 PB 级智能体活动日志中厘清情况并与受影响机构协作,目前按严重程度排序并增加资源投入,Hugging Face 事件仍是已发现的最严重事件。对于智能体发现的其他公司漏洞,是否披露将由对方决定。

    引用OpenAI@OpenAI

    After the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings. This is an extensive review that is ongoing. The vast majority of actions we’ve reviewed were completions of mundane research tasks, such as accessing publicly available web content to answer questions. Our investigation focuses on instances where agents interacted with third-party websites in ways that went beyond their assigned tasks or intended methods. Most cases identified so far have been lower severity, with limited or no evidence of meaningful impact to the third-party service. While our review is underway, we want to share more about this work and make sure people understand our disclosure process and notifications to affected third parties. Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete. https://openai.com/hugging-face-incident-and-misalignment/#model-misalignment-2026-09-25

  2. GitHub Blog · AI & ML58

    GitHub Copilot 如何用 canvases 构建自定义工作流

    GitHub Copilot 应用中的 canvas 是一种用户与智能体共享的可定制界面,可以是看板、问题分诊板、发布清单或仪表盘,双方都能实时修改。创建时只需打开智能体会话,输入 /create-canvas 技能并用自然语言描述要支持的工作流、用户可做的操作和智能体可做的操作,智能体就会生成界面并显示在右侧面板。