Conceptio › Archive › PhilArchive
PhilArchive open access

Updating the Μodel—What should we learn about ourselves through LLMs

Hayman, M.
PhilArchive · Papers
Open Source ↗
philosophy
This essay argues that the emergence of LLMs offers not only a challenge to human creativity, but an opportunity to examine human cognition. Drawing on questions from art, cognitive science, and theories of grounding, it argues that human cognition is relational, emergent, environmentally scaffolded, and mediated by inherited models rather than directly grounded in an unmediated reality. This has consequences for how we understand AI-assisted creativity and, more fundamentally, the alignment problem: rather than aligning an ungrounded artificial system to humans assumed to be directly grounded in reality, we may need to understand how differently mediated cognitive systems can be coordinated within shared causal environments.
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

Record · ID 695165
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