# 神经网络将成主导，传统应用或消失

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-05-24 02:54
- AIHOT 分数：62
- AIHOT 链接：https://aihot.virxact.com/items/cmpipnldv0z2hsljwa5g8bwzu
- 原文链接：https://x.com/rohanpaul_ai/status/2058260287665606732

## AI 摘要

Andrej Karpathy 认为，下一代重大软件变革将是大量传统应用的消失。他预言了一种“完全神经化”的计算范式：原始输入直接由神经网络处理，通过扩散模型实时生成专属于当下的界面。当前经典计算以 CPU 为主、智能为辅，而未来神经网络可能成为主导进程，传统 CPU 则退化为处理精确任务的协处理器。这意味着许多现有应用只是过渡产物，未来交互可能不再是静态应用，而是由神经系统根据即时情境生成的动态界面。

## 正文

"You could basically imagine， completely neural computers in a certain sense. Imagine a device that takes raw videos or audio into basically what is a neural net， and uses diffusion to render a UI that is unique for that moment in a certain sense."

~ Andrej Karpathy

Going by this， the next big software shift may be that much of the software disappears.

Karpathy's point is not simply that AI will help us build apps faster； it is that many apps may be artifacts of a world where computers needed every intermediate step spelled out.

He says "I kind of feel like， in the early days of computing， people were actually a little bit confused as to whether computers would look like calculators or whether computers would look like neural nets. In the 50s and 60s， it was not really obvious which way it would go. Of course， we went down the calculator path and ended up building classical computing.

Neural nets are currently running virtualized on existing computers， but you could imagine that a lot of this will flip， and that the neural net becomes kind of like the host process， while the CPUs become kind of like the co-processor."

Classical software treats the CPU as the host process and intelligence as something bolted on through tools， scripts， models， and APIs.

Karpathy is imagining the reverse： the neural network becomes the host process， while conventional code becomes a small deterministic accessory for tasks where exactness still matters.

This is why the future interface may not look like a better app store.

It may look like raw video， audio， documents， or intent entering a neural system， with the interface itself generated for that moment rather than built in advance by a product team.

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From "Sequoia Capital" YouTube channel， （link in comment）
