arXiv (All)
open access
Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
With the rise of generative AI (GenAI), Large Language Models are increasingly employed for code generation, becoming active co-authors alongside human programmers. Focusing specifically on this application domain, this paper articulates distinct ``Architectures of Error'' to ground an epistemic dis
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Introspective Uncertainty Estimation for LLM-Based Code Generation#1083462
- Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content#16470
- Noise Instead of Signal: The Content of Large Language Models#709948
- COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation#248050
- The HIPUD Model: An Affordance-Based Framework for Studying Information Use with Gen-AI Chatbots#173484
Record · ID 1013420
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive