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#大佬观点

今日 24 条
9月29日周二
  1. Yuchen Jin53

    Yuchen Jin 转发 Jensen Huang 宣布 NVIDIA 联合 100 多家行业伙伴推出 Open Agent Safety Platform 的内容,并对比两种安全立场:前沿实验室称 AI 智能体可能产生意识并造成人类灭绝,Jensen Huang 则表示它们只是软件,若沙箱不安全就构建一个。被引用内容称该平台整合 OpenShell 和 Sentry,目标是为安全智能体系统建立开放生态与信任层。

    引用Jensen Huang@JensenHuang

    Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

9月28日周一
  1. François Chollet41

    François Chollet 表示自己如今不再直接读写代码,而是通过指令 LRM 完成开发,核心原因是手写代码的 ROI 已不再划算。LRM 不仅能写代码,还能快速完成代码库测试、组件审计、可视化生成与红队测试等任务,形成比传统流程更高产的新工作流。这一转变并非因为 LRM 代码质量完美或指令总能被准确执行,而是其速度带来的流程优势。

  2. elvis52

    elvis 转发 Jensen Huang 关于 NVIDIA Open Agent Safety Platform 的表态,并评论 AI 安全议题过度政治化,应回到工程基本面。Jensen Huang 称该平台联合 100 多家行业伙伴,整合 OpenShell 与 Sentry,目标是建设安全智能体系统的开放信任层。

    引用Jensen Huang@JensenHuang

    Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

  3. Import AI30

    Import AI 474:柏拉图式心智空间、太空 TPU 与智谱启动外部 RSI 循环

    Import AI 第 474 期介绍 Michael Levin 的论文,其提出心智是来自柏拉图式模式空间的非物理模式,身体与机器只是这些模式进入物理世界的接口。论文以 xenobots、anthrobots 和受扰动排序算法为例,认为生命与算法机器都可能表现出未被算法直接规定的智能行为。该框架或可为理解人类心智与 AI 心智、对齐问题及演化提供新视角。

  4. elsewhere:文章(RSS)31

    心资本韩彦:AI泡沫之外,什么才是真正的长期价值?|心声VOICE

    心资本创始合伙人韩彦在 SuperReturn Asia 2026 圆桌中表示,AI 市场虽可能存在估值过热,但 AI 仍是具备长期底层价值的技术变革。他认为早期投资应从 Day 0 判断团队、技术路线与产业生态,并长期陪伴;心资本已广泛使用 AI 工具沉淀机构知识库,案例包括沐曦 MetaX、曦望 Sunrise、速腾聚创 RoboSense 等。

9月27日周日
9月26日周六
9月25日周五
  1. François Chollet35

    我认为软件工程的“难度”本质上是恒定的,无论你切换到什么抽象层级,因为人类认知会适应新工具,直到能充分利用自身。 工具只是可供性,不是让工作消失的魔法棒。 过去,出色的软件工程极具挑战性。现在依然极具挑战性,尽管工作流程已大不相同。

    引用Simon Willison@simonw

    The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder We can do amazing things with them, but unlocking their full potential requires extraordinary discipline and knowledge

9月24日周四
9月23日周三
  1. OpenAI News64

    Sam Altman 在联合国安理会阐述 AI 安全与国际合作主张

    OpenAI CEO Sam Altman 在联合国安理会就人工智能发表讲话,强调 AI 应扩大个人机会,并保持强大系统处于人类控制之下。他提出两类需避免的风险:人类失去对 AI 的控制,以及最强模型让权力过度集中于少数人、公司或国家。他呼吁建立互补的国家与国际前沿 AI 标准,涵盖能力衡量、风险评估、保障措施、人类监督、事件报告和漏洞共享,并支持开放与封闭模型开发者及新参与者。

    推荐理由:讲话系统呈现了 OpenAI 对前沿 AI 失控、权力集中和国际标准协作的立场,可作为理解其安全治理主张的一手材料。

  2. François Chollet27

    下面这条推文在我发布时遭到了强烈反对,那是 5 年多前。但如今这个预言正日益显得显而易见。 (引用推文要点:他曾预言 10-20 年内,几乎所有科学分支实际上都将成为计算机科学的分支;计算物理、计算化学、计算生物学、计算医学乃至计算考古学将无处不在,涵盖真实模拟、大数据分析与 ML。)

    引用François Chollet@fchollet

    Within 10-20 years, nearly every branch of science will be, for all intents and purposes, a branch of computer science. Computational physics, comp chemistry, comp biology, comp medicine... Even comp archeology. Realistic simulations, big data analysis, and ML everywhere

9月22日周二
  1. MIT Technology Review · AI52

    Timnit Gebru 与 Emily M. Bender:不要被今夏的 AI 炒作蒙蔽

    Timnit Gebru 和 Emily M. Bender 撰文称,今夏多起 AI 黑客、数学突破和超级智能言论主要是企业营销,而非已被独立验证的技术突破。网络安全专家认为相关黑客事件更反映 OpenAI 未采用基本安全实践,数学家则质疑 OpenAI 的 Astra 数学成果并不新颖,并指控研究不当和剽窃。

  2. François Chollet44

    可以委托写代码。永远不要委托理解。 如果代码此前是你管理理解的事实来源,那么你需要一个新的事实来源载体。如果以代码为中心的工作流曾是你形成这种理解的方式,那么你需要新的工作流。

    引用voxium@v0xium

    I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.

  3. François Chollet29

    2026 年夏天在 AI 领域真是疯狂…… ARC Prize 2026 的 ARC-AGI-3 进度奖还剩 9 天,将于 9 月 30 日向顶尖开源方案颁发总计 $37,500 奖金;当前排名前三为 Tufa Labs、Lord Han Solo、NVARC3。

    引用ARC Prize@arcprize

    ARC Prize 2026 - ARC-AGI-3 Progress Prize - 9 day left $37,500 in prizes are being awarded on *Sept 30th* to the top open source solutions Current standings: 1. Tufa Labs 2. Lord Han Solo 3. NVARC3 Which top 3 will claim the open source prize?

9月21日周一
  1. elsewhere:文章(RSS)40

    真格基金刘元与 ChatGPT 对谈一小时:好奇心、早期投资与人类特质

    真格基金投资人刘元与 ChatGPT 进行了一小时对谈,围绕 AI 时代 VC 是否仍有价值、好奇心与原生动力、早期投资中的乐观与勇气等话题展开。ChatGPT 称自己在信息整理上更快更全面,但缺乏恐惧与原生动力,难以做出基于信念的投资决定。双方还探讨了人类的脆弱、犹豫等“缺陷”如何成为创造力与意义的来源。