Article may be outdated

This article is 41 days old. Some details may have changed since publication.

Hacker News·2 min read·hard

Automation Without Understanding

R
root-parent
Automation Without Understanding
AI Summary

This article highlights a research paper titled 'Automation Without Understanding' submitted to arXiv. It discusses the implications of automated systems operating without true comprehension of their tasks.

Why it matters

It addresses the growing concern regarding the reliability and safety of AI systems that perform complex tasks without underlying cognitive understanding.

Dive DeeperCreate a free account to unlock

Focus to learn more arXiv-issued DOI via DataCite Submission history From: Jun-Yong Park [ view email ] [v1] Tue, 7 Jul 2026 15:15:05 UTC (12 KB) Full-text links: Access Paper: View a PDF of the paper titled Automation Without Understanding, by Jun-Yong Park View PDF HTML (experimental) TeX Source view license Current browse context: math.HO < prev | next > new | recent | 2026-07 Change to browse by: math References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Continue reading on Headlinne

Create a free account to read the full article.

Read full article →
technologyscienceeducation
Political Bias
Center
LeftLean LCenterLean RRight
Confidence: 90%

The content is a neutral bibliographic entry for an academic paper.

Get smarter about the news

Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.

Create free account

Already have an account? Sign in