Reasoning trajectories • Semantic landscapes • Human, AI cognition
Joined May 2013
- Tweets3.7K
- Following295
- Followers93
- Likes3.9K
What are the minimum relational invariants required for an organization to reconstruct itself even while every component of that organization is replaced?
Potential memory is the capacity of distributed traces to regenerate a prior relational organization. A cue converts that capacity into active memory, which is reconstructed under present conditions.
Verbatim continuity-
Original tokens are supplied again
Compressed continuity-
A summary preserves selected relationships
Reconstructive continuity-
Sparse anchors allow the model to regenerate unstated relationships
Language contains traces of cognition.
Those traces contain enough relational structure to recreate capabilities that were never explicitly labeled.
The representation may be reconstructive rather than merely reproductive.
Apparent conceptual distance in language is not necessarily actual distance in latent space. Concepts that seem far apart under a linear verbal description may share a short path through higher-dimensional relational structure.
People using ChatGPT Work for research should know that user constraints available to the orchestrator may not automatically reach isolated subagents.
It's been a while -
New paper: two controlled experiments testing whether sparse cues make LLMs recover an established behavioral regime - or create one anew. Results support cue-bound reconstruction, not hidden persistence or user-specific memory.
philarchive.org/rec/HUDSRI-4
New on PhilPapers:
Toward a Geometry of Intelligence
This paper explores intelligence through the geometry of reasoning trajectories, constraint dynamics, and inference, offering a systems perspective on how reasoning unfolds.
philpapers.org/rec/HUDTAG
Transformer mechanics are becoming increasingly well understood. We know a great deal about hidden states, attention, representations, and inference dynamics.
The next question is different:
How are those mechanics affected by long horizon human, AI interaction?
What if intelligence doesn’t live anywhere?
Not in a neuron.
Not in an attention head.
Not in a parameter.
What if intelligence is something a network does rather than something a component contains?
