# Chamath 称长时任务与复杂问题 AI 仍难解决

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-05 21:14
- AIHOT 分数：53
- AIHOT 链接：https://aihot.virxact.com/items/cmsg4r5ee05mwrolg93p9xpmn
- 原文链接：https://x.com/rohanpaul_ai/status/2084991465156149663

## AI 摘要

Chamath 在斯坦福 AI 俱乐部直言，长时任务与复杂问题目前仍无法被 AI 妥善处理，并称“不要给我看愚蠢的评测”。他警告行业将经历炒作周期后的“幻灭低谷”，若无法跨越鸿沟，AI 将被视为笑话，并建议用符号空间引导嵌入空间。

## 正文

"Long-horizon tasks are still a joke. They do not work, and I do not care what anybody says. Do not show me a stupid evaluation. Do not tell me about some dumb script you ran for 48 hours. Long-horizon tasks are not handled well. They simply do not work."

• Chamath at Stanford AI Club

"Second, complex problems also do not work. They are neither addressed nor handled well.

Why is this important? If AI develops like any other technology, we are going to experience an initial rise-the hype cycle. Then, we will see a natural contraction because, somehow and somewhere, something is going to fail. We are all going to see this, and then we will enter what is called the "trough of disillusionment." I think the business and MBA folks will confirm whether that is true.

Afterward, you typically see the slow and gradual adoption of the real, final solution. This happened with the internet, and it has happened in many other cases.

The problem is that we are spending hundreds of billions, potentially trillions, of dollars trying to figure out how to cross this chasm. So, what do we do?

If we do not figure this out, people will reach the trough of disillusionment and say that AI was a joke. I think we need to be able to bring AI into highly complicated environments and make it work.

What is my solution? At a very basic level, you need a symbolic space that guides the embedded space."

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From "techniahqrobot" YouTube channel, (full video link in comment)