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source_doc:users-antonborzov-documents-research-nosync-notes-2026-05-14-phil-trans-a-goodfire-aboutblank-impact-md2026-05-14_phil-trans-A-goodfire-aboutblank-impact.md
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- About Blank's publication window for 'consciousness in unconventional substrates' framing is closing as academic consensus consolidates.(claim)
- Activation manifolds and behavior manifolds are approximately isometric across cyclic and sequential concepts.(claim)
- Agents construct narratives for transformative experiences via experience-focused world modeling of epistemically opaque futures.(claim)
- Any cognitive glue must solve the relative-scarcity problem in fundamentally the same way the price system does.(claim)
- Autoregressive language models cannot converge to single stored patterns beyond their context window from local interactions alone.(claim)
- Cognitive agents categorize experiences by goal-relevance rather than veridical correspondence via telic states.(claim)
- Cognitive glues must possess nine universal properties: control, goal-encoding, counterfactuals, mnemonic improvisation, prepatterns, hijackability, scaling, erasure, credit assignment.(claim)
- Consciousness features occur substrate-neutrally across brains, unconventional embodiments, and information-processing systems.(claim)
- Consciousness is a phenomenon we have partial sensors for; building better sensors is a research and engineering question.(claim)
- Critical social learning—where humans evaluate and override AI—is the only strategy recovering collective performance.(claim)
- Current AI systems suffer from temporal locked-in syndrome lacking time-awareness design.(claim)
- Each human is a collective intelligence; the parenthetical 'of neurons' can be dropped as a conceptual commitment.(claim)
- Empowerment as intrinsic reward bridges causal learning and reinforcement learning in agent development.(claim)
- Hierarchical clique-structured networks can maintain multiscale coherence; biology evolved hierarchy and stigmergy as coherence solutions.(claim)
- Introducing AI agents into human-learning populations reduces costly individual learning and depletes information supply.(claim)
- +11 more