# Worth Reading: AI and Knowledge Stagnation

DevFeed: [Worth Reading: AI and Knowledge Stagnation](<https://devfeed.tech/articles/worth-reading-ai-and-knowledge-stagnation-11370.md>)

Original publisher: [Read original article](<https://blog.ipspace.net/2026/04/worth-reading-ai-lost-knowledge/>)

Published: 2026-04-23T05:48:00Z

Content type: opinion

Language: en

Sources: [ipSpace.net blog](<https://devfeed.tech/sources/ipspace-net-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Code](<https://devfeed.tech/topics/code.md>), [math](<https://devfeed.tech/topics/math.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [code](<https://devfeed.tech/tags/code.md>), [math](<https://devfeed.tech/tags/math.md>), [worth-reading](<https://devfeed.tech/tags/worth-reading.md>)

## AI overview

The post highlights an argument that relying on AI to produce already-known answers, code, proofs, or knowledge can discourage people from contributing anything new.

## Source excerpt

Another week, another interesting AI article (is anyone writing about anything else these days?), this time from Noah Smith (another author worth following). I found this gem hidden in his weekly roundup: Instead of trying to write a piece of code from scratch, or prove a math theorem from scratch, or figure out some piece of knowledge for yourself, you just ask AI to do it all for you. So everyone ends up getting the right answers to questions whose answers are already known, so they don't end up adding anything new. Read more ...