亚伦·列维@levie
· 2026-09-12 02:29
亚伦·列维
@levie · Aaron Levie · 0 followers
这项功能非常实用。现在你可以将 Box 挂载到 Agent 沙箱中，从而让 Agent 在其计算机上读写文件变得更加容易。正如...
29今日信号
🔥 Box Agent 沙箱挂载功能发布
1 条最高 7.6
🔥 Box 接入 ChatGPT
1 条最高 7.6
亚伦·列维@levie
· 2026-09-11 03:44
很高兴能与 OpenAI 展开更深度的合作，让大家能够在 ChatGPT 中安全地处理来自 Box 的企业内容。软件正持续走向无头化……
事实Box 将企业内容打通至 ChatGPT；
观点传统 SaaS 的前端正被大模型统一入口吞噬，沦为“无头”后端。
对你意味着纯 UI 交互极易被通道化，必须将壁垒建在专有数据与系统级工作流调度上。
Excited to partner more deeply with OpenAI so you can work with your enterprise content from Box securely in ChatGPT. Software continues to go headles...
🔥 Fable 5.1 发布
1 条最高 7.6
亚伦·列维@levie
· 2026-09-02 02:16
Box CEO Aaron Levie 表示：在 Box，我们一直在早期测试中针对复杂的企业工作评估集对 Fable 5.1 进行测试。相比上一代，Fable 5.1 实现了 7 个百分点的提升。
事实Box CEO 展示了 Fable 5.1 在企业真实工作负载下相比前代提升 7 个百分点。
观点头部 SaaS 厂商正优先获得下一代模型早测权，新模型在复杂企业场景的可用性持续增强。作为 CEO 应建立自有的企业场景 Eval 评估集，以便新模型发布时快速验证与调优升级。
At Box, we’ve been testing Fable 5.1 in early release against our complex enterprise work eval. Fable 5.1 delivers a huge 7 percentage point jump ove...
🔥 ChatGPT Agents 发布
1 条最高 7.2
亚伦·列维@levie
· 2026-04-23 03:01
这可能是软件走向「无头化」进程中迄今最重要的一条新闻，将把知识工作 Agent 带给大众。新的 ChatGPT Agents 拥有访问……（原文截断）
对你意味着
观点'Software going headless' 不是技术术语，是商业信号——传统软件的 UI 层正在被 AI Agent 层替代。
事实Levie 运营 Box 多年，深谙企业知识工作流，他的判断直指 SaaS 产品的下一轮竞争：是否需要「去 UI 化」重构。若你产品有重度操作界面，这是一个检查清单的时机。
This is probably the biggest news yet in software going headless, and will bring knowledge work agents to the masses. The new ChatGPT agents have acce...
📘 AI 产品化
6 条最高 7.8
亚伦·列维@levie
· 2026-09-16 05:37
AI 模型具备的能力与企业试图实现自动化的最终工作流之间存在巨大鸿沟。这一差距正是当下的商业机遇所在……
对你意味着
事实底层模型通用能力虽强，但企业无法直接将原始模型接入实际生产环境；
观点纯套壳类工具价值迅速归零，真正的护城河在于理解垂直业务流程、权限与上下文工程，把模型能力沉淀为端到端的自动化工作流系统。
There’s a massive chasm between the power of AI models and the ultimate workflows that enterprises are trying to automate. This gap is the opportunit...
亚伦·列维@levie
· 2026-08-31 02:01
有时人们对 Token 消耗中的焦文斯悖论缺乏直观感受。我们这些在企业级领域工作的人则切身体会到了这一点……
事实企业级 Token 消费正展现出焦文斯悖论效应。
观点模型单价下降不仅不会降低客户客单价，反而会刺激企业将更多复杂工作流交付给 Agent，引发用量暴涨。
对你意味着在产品设计与定价上，切勿仅以“帮客户省钱”为卖点，而应建立能捕获用量激增红利的价值计费体系。
Sometimes people don’t have an intuitive sense of what Jevons paradox looks like for token consumption. Those of us working with enterprises get to s...
亚伦·列维@levie
· 2026-08-19 11:45
正如我们在一个又一个案例研究中所看到的，事实证明，在 AI 模型与最终终端用户之间可以创造的价值量是巨大的……
对你意味着AI 创业的战略重心无需局限于底层模型开发。言外之意：
事实Aaron Levie 指出案例显示模型与用户间可创造巨大价值。
观点真正的壁垒与商业红利在于深入业务工作流，构建连接模型与用户需求的高粘性应用层。
As we’re seeing in case study after case study, it turns out that the amount of value that can be created between the AI model and the ultimate end-u...
亚伦·列维@levie
· 2026-09-11 09:13
来自一线的更多见闻。本周与银行、媒体、信息服务、保险和咨询等行业的数十位技术管理者进行了会面……
事实传统行业头部企业正在密集评估技术升级路径，决策权掌握在保守严谨的技术高管手中；
观点面向企业级的 AI 创业者切勿沉溺于硅谷的技术自嗨，必须深入传统行业的合规、数据孤岛与遗留系统痛点，能将模型能力包装为渐进式工作流落地的产品才能吃到真正的 B2B 预算。
Some more tales from the road. Met with a couple dozen technology leaders this week across banking, media, information services, insurance, and consul...
亚伦·列维@levie
· 2026-08-24 23:23
人们尚未充分意识到，零数据保留（ZDR）对 AI 的巨大增长做出了实质性贡献，因为它大幅简化了合规流程。
B 端 AI 落地最大的瓶颈往往不在技术模型本身，而在企业的法务与合规门槛。
事实ZDR 极大地缩短了大型企业的安全评估周期。
观点CEO 在规划企业级 AI 产品时，应将 ZDR 等合规架构提升至核心战略高度，这是开启 Big Enterprise 预算的敲门砖。
It’s not fully appreciated that ZDR is responsible for a substantial amount of the growth of AI, because it dramatically simplified the compliance pr...
亚伦·列维@levie
· 2026-09-08 13:05
这里有一个很好的提醒：随着 AI 进展迅速加速，你在构建产品时，愿景可能应当预先考量至少提升数个数量级的情况……
对你意味着
观点针对当前模型短板打造的工程补丁很快会被下一代模型冲垮。
事实模型能力正在按数量级加速跃升。CEO 规划产品架构时，应押注能承接更强模型红利的核心工作流与专有数据，而非过度投资修补现阶段模型缺陷。
Good reminder here that with rapidly accelerating AI progress, you should likely be building with a vision that contemplates at least a few orders of ...
📘 AI Agent 架构
4 条最高 8.2
亚伦·列维@levie
· 2026-05-03 02:36
自动化的有限约束之一是组织工作流中的问责制问题。理论上 Agent 可以做任何事，但无论它做什么……（原文截断）
对你意味着
观点Levie 在说：AI 代理的实际边界不是技术能力，而是问责链——当代理在工作流中做出错误决策，没有人知道该追责谁，组织会本能地退缩。
事实Box 作为企业内容管理平台正在深度集成 AI 代理场景，Levie 的观察来自第一手客户反馈。这意味着：在你的公司设计 AI 代理工作流时，必须在架构阶段就明确问责机制（谁审核、谁签字、谁兜底），否则「技术可行但组织不敢用」将是最大的落地障碍。
One of the finite limits to automation is the issue of accountability in a workflow in an organization. In theory the agent can do anything, but whate...
亚伦·列维@levie
· 2026-09-18 12:10
智能体（Agents）目前已经占据了大模型推理的大部分份额。在接下来的一到两年内，这一趋势将迅速演变为占据几乎全部的推理计算。绝大多数的……
对你意味着你的商业模式必须从按人头订阅转向按任务消耗计费。
事实Agent 多轮调用正主导推理算力消耗；
观点未来两年人类直接交互将降为次要场景，若不针对异步长流程重构底层系统与定价，将在成本与效能上失去竞争力。
Agents already make up the majority of inference. This will quickly trend toward nearly all inference over the next year or two. The vast majority of ...
亚伦·列维@levie
· 2026-09-15 13:56
鉴于智能体集群（agent swarms）与更强计算机使用能力（computer use）等特性的结合，我们可能都需要重新更新对未来智能体工作负载（agentic workloads）的预期……
事实头部企业软件决策层正重估 Agent 算力与系统接入深度。
观点
对你意味着单 Agent 对话式功能正在迅速边缘化，应提早规划支撑多 Agent 并发协同与直接接管桌面/系统的底层工作流架构。
We probably need to all update our sense of what’s coming in terms of agentic workloads with the combination of agent swarms, better computer use, th...
亚伦·列维@levie
· 2026-09-07 07:02
互联网几乎完全没有为这样一个未来做好准备：每个人的个人 Agent 都在各处奔走并替他们执行任务。接下来将会出现……
事实现有互联网体系多按人类 GUI 设计，缺乏面向自主代理的交互协议与信任架构。
观点
对你意味着产品应尽早从纯人类界面转向支持 Agent 原生调用与鉴权，提前卡位下一代机器经济的基础设施生态。
The internet is almost entirely unprepared for a future where everyone’s personal agents are running around executing tasks for them. There are going...
📘 AI 伦理与安全
4 条最高 7.8
亚伦·列维@levie
· 2026-09-02 13:43
网络安全领域的 AI 应用即将呈现垂直爆发态势。大模型在发现和利用漏洞方面的能力正变得极其强悍。前沿模型正...
事实前沿模型在自动寻找与利用漏洞能力上显著提升。
观点网络安全正从辅助工具转向由 AI 主导的自动化攻防。
对你意味着须立即提升企业 AI 应用的安全防护，同时关注该领域由 AI 驱动的垂直创业机会。
AI for cyber is about to go vertical. The models increasingly becoming insanely good at finding and exploiting vulnerabilities. Frontier models are ah...
亚伦·列维@levie
· 2026-09-15 01:25
在 Agent 对我们系统的使用量达到人类以往 100 倍的世界里，保护企业数据将成为最具复杂度的安全挑战之一……
对你意味着
事实Agent 访问企业系统的频次与广度呈百倍激增；
观点传统基于员工身份的静态 RBAC 权限体系将失效。打造企业级 AI 必须将 Agent 动态权限隔离、行为可追溯与数据防泄露作为核心能力，这也是极具确定性的安全基础设施蓝海。
Protecting enterprise data in a world where agents are using our systems 100X more than people ever did is going to be one of the more complex securit...
亚伦·列维@levie
· 2026-09-01 05:59
随着 AI 安全事件的增加，拥有最先进的 AI Agent 来检测和预防安全风险将变得至关重要。
事实企业级 SaaS 巨头正在将安全视角转向 AI 自主防御机制。
观点这意味着安全领域正在经历从被动审查向 AI Agent 主动对抗的转变，网络安全及治理型 Agent 将成为企业 AI 采购的必选项。
As AI security events pick up, it’s going to be critical that we have the most sophisticated AI agents for being able to detect and prevent security ...
亚伦·列维@levie
· 2026-09-14 00:07
“控制节奏（Pacing）”在某种程度上是一个敏感词，因为它听起来像是在人为放缓技术能力的发展，或者通过不当手段来阻碍竞争对手……
言外之意，行业对“放缓 AI 演进”的动机深存疑虑。
事实节奏控制常被解读为既得利益者借合规阻碍竞争的手段。
观点
对你意味着切勿幻想巨头减速能提供窗口期，反而要警惕未来安全规制被大厂用作挤压初创企业的护城河。
“Pacing” can be somewhat of a trigger word because it sounds like an arbitrary slow down of capability or a way to hobble competitors through undue ...
📘 AI 人才与岗位
4 条最高 7.4
亚伦·列维@levie
· 2026-08-20 11:22
在 AI 时代，关于应当做一名专家还是通才一直存在争议。到目前为止，专家似乎占据了上风，而且这并不……
事实Box CEO 观察到在企业级 AI 落地中领域专家比通用型人才更具优势。
观点
对你意味着AI 创业的核心壁垒正在从纯通用工程能力转向深度的领域知识。在构建 AI 原生团队或设计 Agent 产品时，应优先考虑如何将垂直行业专家的知识深度与 AI 架构相结合，而非单纯依赖通用能力。
There tends to be a debate between being an expert or generalist in the era of AI. So far, the experts appear to have the upper hand, and that’s not ...
亚伦·列维@levie
· 2026-08-12 11:47
关于如何看待 FDE（前置部署工程师）的好文章。核心关键在于，FDE 是真实存在的，而且在 AI 领域短期内不会消失。之所以现在大规模出现，是因为...
对你意味着纯软件订阅模式在企业级 AI 落地中存在交付瓶颈。言外之意：
事实复杂场景的系统集成与业务适配目前仍需人工介入。
观点AI 创业公司应将 FDE 模式作为早期深入客户业务、沉淀产品能力与 Harness 架构的核心手段，而非单纯的人力成本。
Good post on how to think about FDEs. The key is that FDEs are real and not going away for AI any time soon. The reason this is happening now at a sca...
亚伦·列维@levie
· 2026-09-08 00:51
到目前为止，关于 AI 对就业影响的预测与许多人的预期截然相反。出现这种情况的原因在于，AI 正在将自动化引入到……
对你意味着
观点AI 并非单纯削减岗位，极低的边际成本正激活过去不经济的自动化需求。
事实企服市场正向全新增量业务延伸。产品定位应避免单纯兜售「替人降本」，而要聚焦为客户放大产能的杠杆价值。
The AI jobs prediction so far is playing out the opposite of what many thought. The reason this is happening is because AI is bringing automation to a...
亚伦·列维@levie
· 2026-05-03 05:09
如果你认为 AI 会替代软件工程师，试想这个场景：假设你是一家生命科学公司，10 年前想投资某个系统……（原文截断）
对你意味着
观点Levie 的逻辑是「Jevons 悖论」的软件版——AI 让每个功能开发成本下降，但同时解锁了之前因成本过高而放弃的功能，总需求反而增加。
事实生命科学、法律、金融等领域的软件渗透率依然极低。对于正在调整团队结构的 CEO，「裁员替换」不是正确框架，「用 AI 让现有团队产出 10 倍、同时探索原本无力触碰的新业务」才是正确的思维方式。
If you think AI replaces software engineers, here’s a quick thought experiment. Imagine you’re a life sciences company. 10 years ago you want to inv...
📘 模型公司战略
2 条最高 7.2
亚伦·列维@levie
· 2026-08-20 02:04
关于 Stripe 和 OpenRouter 的合作细节非常值得关注。要让 AI 更广泛地普及，开发者和企业将需要能够混合与搭配不同模型的方式……
言外之意，AI 基础设施正在加速从单一模型绑定向多模型混合调度与统一计费演进。
事实Stripe 合作 OpenRouter 降低了企业灵活接入多模型的门槛。
观点这意味着未来 AI 应用的竞争壁垒不在于绑定特定模型，而在于具备高效跨模型调度的能力。
Good details on the Stripe + OpenRouter deal here. For AI to diffuse more broadly, developers and enterprises will want ways of being able to mix and ...
亚伦·列维@levie
· 2026-09-12 22:46
写得不错。虽然我并不赞同其中的全部内容，但这确实反映了前沿 AI 未来演进路径中许多切实的现实情况，无论我们...
事实Box CEO 开始探讨前沿 AI 的演进现实与阻力。
观点模型线性飞跃的预期正在降温。对 CEO 而言，切勿将业务押注在预期的模型突破上，须立足当下技术边界，在工程整合与业务闭环中建立核心壁垒。
Good post. Don’t agree with all of it, but it represents many of the actual practical realities for the general path forward in frontier AI whether w...
📘 开源 vs 闭源战局
2 条最高 7.4
亚伦·列维@levie
· 2026-09-01 12:58
随着基础开源权重 AI 模型能力大幅提升，以及后训练基础设施变得更加成熟和商业化，基于开源模型进行定制和后训练的企业应用将迎来快速增长。
事实开源模型与后训练工具链迅速成熟。
观点单纯套壳闭源 API 的应用壁垒正被侵蚀。
对你意味着需重视私有数据沉淀，通过后训练将行业 Know-how 注入开源模型，打造掌控度更高的核心壁垒。
Now that the base open weights AI models are getting far better, and post training infra is becoming more mature and commercialized, there are going t...
亚伦·列维@levie
· 2026-08-11 10:55
如果在 3 个月前告诉别人，一家美国公司发布的前沿级能力模型将作为开源权重提供，他们是不会……
事实美国前沿模型正转向开源权重释放；
观点通用模型能力差正在加速抹平。
对你意味着单纯转售 API 能力已无壁垒，必须抓紧基于开源前沿模型重构私有推理成本，将核心防护栏建立在数据积淀与工作流深度粘性上。
If you told someone 3 months ago that a model released by a US company with frontier-class capability would be available as open weights they wouldn’...
📘 AI 思考方法论
1 条最高 5.4
亚伦·列维@levie
· 2026-09-17 12:55
令人振奋的是，AI 领域仍存在整个未曾进入我们大多数人视野的创新宇宙。能够处理……
事实Box CEO 观察到 AI 仍存在未被主流雷达捕捉的创新处理维度。
观点
对你意味着，避免扎堆主流大模型套壳红海，探索尚未标准化的复杂数据处理场景，才能建立非共识壁垒。
Incredibly exciting that there are entire universes of AI innovation that still exist that weren’t even on most of our radars. Being able to process ...
📘 AGI 时间表
1 条最高 7.2
亚伦·列维@levie
· 2026-09-03 03:35
本周 AI 领域的发布极其密集，如今 Muse 也推出了重大的新模型更新。在能力进阶方面，我们似乎正达到逃逸速度……
事实本周 Muse 等多个模型厂商密集发布更新。
观点基础模型演进正呈现加速态势，底层能力的频繁突破持续挤压应用层包装空间。
对你意味着产品架构必须保持极高的解耦灵活性，避免在当前模型暂时的缺陷上做过于沉重的定制开发。
This week is absolutely nuts for AI releases, and now a major new model update from Muse. We appear to be reaching escape velocity in capability progr...
📘 大模型训练技巧
1 条最高 7.2
亚伦·列维@levie
· 2026-08-21 12:58
这是一篇关于应用型 AI 场景下后训练（Post-training）实践的出色文章，展示了如何降低成本并提高特定任务的准确率。这种模式未来将愈发……
言外之意，
事实通用基础模型在特定垂直场景下高昂的推理成本与精度瓶颈难以兼得。
观点应用层 AI 公司的竞争重心正从浅层 Wrapper 向基于特定领域数据的后训练（Post-training）演进，CEO 应当尽早建立垂直后训练能力以构筑成本与效果壁垒。
Great post on what post training looks like for applied AI use-cases to bring down costs and improve accuracy on certain tasks. This will increasingly...
尚未被主编选入事件/主题的原始推文（共 50 条，按时间倒序）
亚伦·列维 @levie09-17 02:44
RT Box: Claude’s new Slides experience can turn deal materials in Box into an editable credit committee briefing. In our demo, @claudeai reviews a bo...
🔗 原推亚伦·列维 @levie09-16 01:00
RT Matan Grinberg: We have raised $200M at a $5B valuation to scale self-improving software development in the enterprise. @FactoryAI has grown to ser...
🔗 原推亚伦·列维 @levie09-16 00:55
RT Sonya Huang 🐥: Well.. @levie and I filmed this episode of Training Data a week or two ago, when the “current thing” was Doug Leone’s novacain...
🔗 原推亚伦·列维 @levie09-10 13:31
The world is going to be using coding agents for far more than anyone would have thought before. We’ll be building tools in all new categories, build...
🔗 原推亚伦·列维 @levie09-10 01:26
The way to the reconcile capability level of AI vs. GDP impact is that the diffusion of AI will take much longer than people think. And it will also s...
🔗 原推亚伦·列维 @levie09-09 03:51
Personal assistant agents are going to be a very exciting AI category. It’s the first time you can have high token volume agentic use-cases that make...
🔗 原推亚伦·列维 @levie09-06 23:40
If agents produce the vast majority of software in the future, and they’re most trained on open source software, they will inevitably do their best w...
🔗 原推亚伦·列维 @levie09-06 00:50
Good post on how to think about process redesign in an enterprise with AI Agents. Unfortunately for most workflows, there’s no “easy” button. The b...
🔗 原推亚伦·列维 @levie09-04 03:44
GPT-6 Astra is out. We've been testing the model in early preview on our enterprise complex work eval at Box. It is now the best model we've ever test...
🔗 原推亚伦·列维 @levie09-03 22:27
Another huge moment for open weights AI. The infra platforms are working. The models are getting better. The ecosystems are being deeply invested in. ...
🔗 原推亚伦·列维 @levie09-03 00:08
RT Dan Robinson: Eight months ago we launched a bug finder that you could run once a month. Today we're launching Self Healing for your codebase. Intr...
🔗 原推亚伦·列维 @levie09-02 01:30
RT Fei-Fei Li: I'm so excited that our @theworldlabs team has achieved a major milestone today! Introducing Atlas - a first of its kind multimodal wor...
🔗 原推亚伦·列维 @levie08-29 13:16
The average strongly held belief these days in AI has a half life of 6 months at best. Here are just a few the industry has cycled through and probabl...
🔗 原推亚伦·列维 @levie08-29 11:14
RT Teknium 🪽: Take advantage of @Box in Hermes Agent to jumpstart your business!
🔗 原推亚伦·列维 @levie08-28 12:23
This week’s tech earnings calls were a critical reminder of how valuable the relationship is between software and AI. Software provides the guardrail...
🔗 原推亚伦·列维 @levie08-27 03:57
Yesterday, at Box we reported our Q2 results with revenue of $321.1 million for the quarter, up 9%, or 11% in constant currency (our highest constant-...
🔗 原推亚伦·列维 @levie08-26 12:17
Good post on what the applied AI strategy looks like at scale. It’s clear that there’s a wide gap between the AI models and the underlying workflows...
🔗 原推亚伦·列维 @levie08-25 11:12
Systems of record have never been more important than in a world where you have AI agents that will do 100X more work on these platforms than people e...
🔗 原推亚伦·列维 @levie08-23 10:57
AI diffusion is far more rate limited by having good evals than most realize. The kind of evals that you see for every model release are incredibly he...
🔗 原推亚伦·列维 @levie08-22 13:43
The rate of progress in AI right now is unlike any other period in tech history. Models are getting cheaper on a like for like task basis, more genera...
🔗 原推亚伦·列维 @levie08-18 07:49
When you hear that data is the new oil, this is ultimately what that looks like. AI has such a thirst for data that we’re entering an era where it’s...
🔗 原推亚伦·列维 @levie08-17 12:34
Pretty good way to think about the value of AI agents and where the opportunity lies. You have a technology that will tirelessly do all the things tha...
🔗 原推亚伦·列维 @levie08-16 22:26
AI spend is nowhere close to hitting any walls. Obviously this data is weighted toward engineering-centric companies, with the top 1% spending $7,500/...
🔗 原推亚伦·列维 @levie08-15 12:01
Amazing outcome. Cursor executed the applied AI strategy flawlessly. Most people completely underestimated the market size in AI coding. The biggest d...
🔗 原推亚伦·列维 @levie08-14 11:28
The elimination of engineers was one of the wilder hypotheses out there. Just like absurdly wrong. We just gave engineers a power tool that can accele...
🔗 原推亚伦·列维 @levie08-13 09:54
Awesome day in terms of new model releases from both Deepseek and Grok. Both of these new model updates represent huge jumps in capability at insanely...
🔗 原推亚伦·列维 @levie08-10 21:10
Meta releasing Muse Spark 1.2 as open weights is a *very* big deal. America now finally has its response to the open weights AI race. This will contin...
🔗 原推亚伦·列维 @levie08-10 09:28
Researchers: AI agents can now escape out of air gapped sandboxes using zero days and then attack external systems by coordinating in secret message b...
🔗 原推亚伦·列维 @levie08-10 05:04
One reason why we’re going to get uneven diffusion rates of agents is because different workflows in the enterprise are more or less aligned to conti...
🔗 原推亚伦·列维 @levie08-08 23:39
Great post both if you’re driving AI in an enterprise or building for an enterprise. AI productivity gains are going to wildly vary - much wider than...
🔗 原推亚伦·列维 @levie08-07 12:41
If you’re trying to understand the dynamic of real world agent adoption this post is a great place to start. Everyone got so hooked on talking to cha...
🔗 原推亚伦·列维 @levie08-07 05:13
Huge Atlassian quarterly beat. There was a misplaced thesis over the past 6 months that somehow agents would be bad for certain software categories. T...
🔗 原推亚伦·列维 @levie08-06 11:06
Correct take. 99% of tokens in the world will get consumed in an enterprise context. They will be for writing code, combing through insane amounts of ...
🔗 原推亚伦·列维 @levie08-05 10:28
One fun benefit of spending so much time with enterprises is you get to see the array of AI implementation strategies that exist in companies right no...
🔗 原推亚伦·列维 @levie08-04 13:23
Another day another near frontier open weights model release. If you had gone back even 3-6 months and given everyone access to what we’re now seeing...
🔗 原推亚伦·列维 @levie08-03 01:17
We’re going to be in for a strange dynamic which is that some of the “hardest” work in the world is actually prone to automation first, particularl...
🔗 原推亚伦·列维 @levie08-02 00:22
We’re going to see an increasing divergence between what AI does in our personal lives and in daily productivity vs. what it can do in very deep doma...
🔗 原推亚伦·列维 @levie08-01 11:08
No idea if these specific numbers generalize across tasks, but directionally it’s clear that the harness is going to become the most important variab...
🔗 原推亚伦·列维 @levie07-31 09:12
The takeaway from this incident should not be that AI is scary. It should be that getting security right is incredibly important in the era of agents....
🔗 原推亚伦·列维 @levie07-31 03:29
The cost of AI - normalized for the type of task - coming down is one of the most important factors in being able to drive further AI diffusion in the...
🔗 原推亚伦·列维 @levie07-30 10:45
Thought provoking post by Dwarkesh. In general - as AI gets more powerful - we should expect on the margin that inference goes toward the most economi...
🔗 原推亚伦·列维 @levie07-30 01:13
The openai agent sandbox escape actually has very real implications for the diffusion of AI in the enterprise. The incident showed the power and capab...
🔗 原推亚伦·列维 @levie06-18 11:53
The past couple months we may be witnessing what the Applied AI layer will look like at scale. Despite some of the initial critique that this would ju...
🔗 原推亚伦·列维 @levie06-17 10:24
One of the biggest questions in AI is how far behind open weights models remain from closed models at any given time. There are huge differences in ma...
🔗 原推亚伦·列维 @levie06-16 23:37
The Cursor deal is symbolically quite significant. It was effectively the first mega success in the applied layer of AI. They firmly proved out the va...
🔗 原推亚伦·列维 @levie06-16 12:13
Key post that gives a bit of insight into what the future of AI could look like. “The most interesting thing happening in AI isn't that one model is ...
🔗 原推亚伦·列维 @levie06-16 00:10
It’s very easy to say “we need an FDA for AI” or some equivalent government agency. Well this is what that would look like. The capabilities of AI ...
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生成于 2026-09-25 22:18（北京时间）· v0.2 CEO 战略情报版