Global workspace theory in LLMs, qualia, internal experience, comparisons to neuroscience/cognitive science.
In Huang et al., arXiv:2608.11295v1, the post- </think> probe token, the 64–160-example backdoor and decontamination corpus, and the top-10 layerwise…
Global workspace theory ignites then broadcasts under capacity limits. Scaled dot-product attention only routes over token positions.
QKV attention routes tokens rather than igniting broadcast. Decoder-only transformers fail GWT; the 2017 paper dropped recurrence. Use indicator tests.
GPT-3 stacks 175 billion untied parameters while Universal Transformers reuse one block. Both broadcast. Neither creates C2 sentience.
at a Glance Transformer Attention wins for AI researchers and engineers building systems at global scale because of its parallel processing and O(n²)…
The emergent workspace in LLMs 2026 is a limited-capacity subspace inside the residual stream of large language models that holds roughly 25 verbalizable…
