亚伦·列维@levie
· 2026-04-23 03:01
亚伦·列维
@levie · Aaron Levie · 0 followers
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）
3今日信号
🔥 ChatGPT Agents 发布
1 条最高 7.2
📘 AI 人才与岗位
1 条最高 6.8
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...
📘 AI Agent 架构
1 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...
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 @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 ...
🔗 原推亚伦·列维 @levie06-15 03:13
Great post. The companies that are able to get their unique IP, institutional knowledge, and data into a format and architecture that lets them captur...
🔗 原推亚伦·列维 @levie06-14 22:35
The big winner in all of this is going to be open weights models. This is a huge win for the field, as a risk that was entirely theoretical and untest...
🔗 原推亚伦·列维 @levie06-14 10:47
The layer that can route to the best AI model for the particular job is going to increase in value substantially. There are at least 3 big reasons: * ...
🔗 原推亚伦·列维 @levie06-14 09:08
Everyone thinks this is some kind of 4D chess or conspiracy. But it’s quite standard to try and jailbreak AI models, and by definition they would sha...
🔗 原推亚伦·列维 @levie06-14 01:02
This whole Fable export control situation is actually net positive to regulation discourse. It’s an early peek into what AI regulation would end up l...
🔗 原推亚伦·列维 @levie06-13 10:05
This is a big turning point for AI regulation. The government is starting to deem some models too powerful for certain uses, which creates a precedent...
🔗 原推亚伦·列维 @levie06-13 00:20
Incredible. Congrats to @elonmusk and the entire SpaceX team on the 25 years of blood, sweat and tears to build a world-defining company. Amazing to h...
🔗 原推亚伦·列维 @levie06-12 12:16
At Box, we just surveyed 1,640 IT leaders across the US, Japan, and Europe about agentic AI adoption. Many standout findings, but a big one was that t...
🔗 原推亚伦·列维 @levie06-11 12:08
Lots of evidence of huge jumps in capability for Fable across coding (and related) tasks. It’s also a major jump in accuracy and success in complex k...
🔗 原推亚伦·列维 @levie06-10 12:45
This is a critical post to read if you’re building an applied AI company right now. “An application earns its place in the untrainable corner by doi...
🔗 原推亚伦·列维 @levie06-10 01:18
If you thought AI progress was slowing down, well here's the immediate answer to that. Huge jump in capability across the board. This is going to deli...
🔗 原推亚伦·列维 @levie06-10 00:08
Great post. So much about model performance is a function of how much compute you’re doing at inference time. This means compute-normalized benchmark...
🔗 原推亚伦·列维 @levie06-09 11:24
There’s no amount of intelligence that can get packed into AI models that replaces the need for context. For any sufficiently general purpose AI, you...
🔗 原推亚伦·列维 @levie05-18 00:38
One of the best things students and colleges can do is not bail on learning and teaching the fundamentals of any given domain. AI will trick you into ...
🔗 原推亚伦·列维 @levie05-16 12:13
I’m fully forward deployed engineering pilled specifically because AI simply is not the same as software. In software, you deliver a stable piece of ...
🔗 原推亚伦·列维 @levie05-15 12:28
We’re in a period where everything feels like it’s getting jumbled up across roles because AI lets you explore the adjacencies of other functions mo...
🔗 原推亚伦·列维 @levie05-15 12:00
He just spent a year building scaffolding for his agent harness. Now release a new model update that makes all of it obsolete.
🔗 原推亚伦·列维 @levie05-14 09:06
If I were a college career counselor or in career services, I’d quickly be figuring out how to get students to understand these forward deployed engi...
🔗 原推亚伦·列维 @levie05-13 11:08
Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI ...
🔗 原推亚伦·列维 @levie05-13 03:10
Agents are quickly moving from coding to the rest of knowledge work. But to do this we need ways of bridging the advanced capabilities of the AI model...
🔗 原推亚伦·列维 @levie05-12 01:23
The need and opportunity for professional services and FDEs to deploy agents right now is massive. Every tech wave offers a new era of consulting and ...
🔗 原推亚伦·列维 @levie05-11 11:06
As advanced agents move from coding to the rest of knowledge work, it takes a real amount of work and know-how to get right. You need to ensure agents...
🔗 原推亚伦·列维 @levie05-10 08:13
For everything we’ve seen about agents so far, it’s clear that they will make it far easier for people to get into previously extremely complicated ...
🔗 原推亚伦·列维 @levie05-09 08:06
A common trend emerging in larger enterprises is token budgeting as a major topic. As agents can do more and more long running tasks, and thus take va...
🔗 原推亚伦·列维 @levie05-08 09:50
When AI makes one thing easy to do, it’s always good to assume that will equally be the case for everyone else. If it’s the case for everyone else, ...
🔗 原推亚伦·列维 @levie05-07 01:02
SpaceX as a vertically integrated AI compute company makes an insane amount of sense.
🔗 原推亚伦·列维 @levie05-05 00:54
Both Anthropic and OpenAI have new initiatives to help enterprises deploy AI agents within their organizations. This is a trend that’s early but goin...
🔗 原推亚伦·列维 @levie05-04 05:53
Whether it’s existing consulting firms, new ones that emerge, FDEs from agent vendors, or new internal agent engineering roles, the amount of work th...
🔗 原推亚伦·列维 @levie05-04 02:41
In general, we should treat AI like a utility, not like a being. The more we confuse what AI is the more we will make ourselves go crazy with analogie...
🔗 原推亚伦·列维 @levie05-02 03:25
Atlassian’s results surprised Wall Street, but it shouldn’t be a surprise. The simple heuristic for the future of software is that when there are 10...
🔗 原推亚伦·列维 @levie05-01 23:45
When I talk to enterprises outside of Silicon Valley, most of the use-cases they have in mind with AI are to augment and accelerate how they work, sim...
🔗 原推亚伦·列维 @levie05-01 11:15
As agents become the biggest users of software, then all software has to be available in a headless fashion. Agents won’t be using your UI, they’ll ...
🔗 原推亚伦·列维 @levie04-30 12:56
Starting to hire and retrain for new agent engineering roles for *internal* functions to help get more powerful agents working well on critical busine...
🔗 原推亚伦·列维 @levie04-29 11:44
Will keep saying this, but software jobs aren’t going away. Agents are the single biggest form of leverage for anyone technical in history. Probably ...
🔗 原推亚伦·列维 @levie04-29 00:28
Agentic coding is a huge boon for software developers that want to get far more done, great for IT people to build vastly more custom systems internal...
🔗 原推亚伦·列维 @levie04-27 09:36
Noticing an interesting version of gell-man amnesia where people use AI for their job and see all the various things they have to do in the “last mil...
🔗 原推亚伦·列维 @levie04-27 06:59
There are at least 2 big but subtle factors contributing to the sense of overwork due to agents right now. 1. The leverage on incremental effort has g...
🔗 原推亚伦·列维 @levie04-26 10:10
Great read. AI lets you get tremendous leverage that wasn’t available before in almost any domain. That means we’re at a unique moment in history wh...
🔗 原推亚伦·列维 @levie04-25 02:38
“If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as po...
🔗 原推亚伦·列维 @levie04-24 12:56
Sorry to anyone who thought AI would mean we’d work less (at least for now). AI makes it easy to explore more than you did before, and so you start d...
🔗 原推亚伦·列维 @levie04-22 12:16
If you read this and don’t understand why it’s happening it’s an opportunity to reset your understanding of how the real world works. The real worl...
🔗 原推
生成于 2026-08-06 10:24（北京时间）· v0.2 CEO 战略情报版