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title: Are AI Models Beginning to Look Conscious? From...
description: A deep-dive analysis of two Anthropic interpretability papers — one from October 2025 on emergent introspective awareness in LLMs, and one from July 2026...
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og:description: A deep-dive analysis of two Anthropic interpretability papers — one from October 2025 on emergent introspective awareness in LLMs, and one from July 2026...
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# Are AI Models Beginning to Look Conscious? From Chalmers’ Hard Problem to Anthropic’s J-Space

**[Medium](https://daily.dev/sources/medium_js)** · 26 min read · 0 upvotes · 0 comments

## Summary

A deep-dive analysis of two Anthropic interpretability papers — one from October 2025 on emergent introspective awareness in LLMs, and one from July 2026 introducing the J-space global workspace concept. The post first builds a rigorous philosophical foundation covering access vs. phenomenal consciousness, Chalmers' Hard Problem, and leading scientific theories (GWT, IIT, HOT, AST). It then carefully examines what each paper actually found: that modern LLMs possess a small, privileged, capacity-limited internal workspace matching the functional profile Global Workspace Theory associates with conscious access, and that models display causally grounded (if unreliable) introspective awareness. Crucially, the author maintains that while these findings are historically significant empirical evidence about access consciousness, they say nothing definitive about phenomenal experience — the Hard Problem remains unsolved. Practical implications for AI safety, model welfare, and alignment transparency are also discussed.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/@vimalkansal/are-ai-models-beginning-to-look-conscious-from-chalmers-hard-problem-to-anthropic-s-j-space-91d15d434104>

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