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AI Ushers in Dual Witch Era

AI Ushers in Dual Witch Era
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🐯Read original on 虎嗅
#philosophy#neuroscience#ai-limitsgenerative-aigenerative-ai

💡Neuroscience proves AI can't match human shamanic sensing—key limits exposed.

⚡ 30-Second TL;DR

What Changed

AI as modern witch: Prompts like rituals yield inscrutable outputs.

Why It Matters

Suggests AI-human complementarity; practitioners should explore non-computable human strengths for hybrid systems. Reinforces AI limits in creativity and intuition.

What To Do Next

Study Newberg's shaman brain scans to design AI augmenting human perception.

Who should care:Researchers & Academics

Key Points

  • •AI as modern witch: Prompts like rituals yield inscrutable outputs.
  • •Society splits: God-makers (AI builders), servants (prompt experts), believers (users).
  • •Human edge: Perception, synesthesia, shamanic states beyond AI's calculation.
  • •Neuroscience: Brain scans show meditation/shamanism alters self-boundaries and waves.

🧠 Deep Insight

Background and context from public sources — not the original article. 5 sources cited.

🔑 Enhanced Key Takeaways

  • •Drumming in shamanic rituals reduces auditory pathway connectivity, gating out predictable sounds to facilitate disengagement from external environment and enhance internal focus[2].
  • •Shamanic trance shows increased hub activity and functional connectivity in default mode network (DMN) and control networks like posterior cingulate, insula, and anterior cingulate cortex via fMRI[1][2].
  • •Shamanic practitioners exhibit decreased neural signal diversity and increased gamma band criticality during trance, contrasting with meditation's increased entropy and decreased metastability[1].
  • •Chimera states in brain networks feature partial synchrony balancing integration and segregation, emerging in cognitive systems and potentially underlying adaptive cognition beyond uniform patterns[4].

🔮 Future ImplicationsAI analysis grounded in cited sources

Neuroscience will integrate AI simulations of trance states by 2028
fMRI and EEG findings on shamanic DMN activity and gamma criticality provide quantifiable targets for AI modeling of human-unique brain dynamics[1][2].
AI black-box limits will drive hybrid human-AI systems by 2030
Human shamanic states dissolve self-boundaries via altered waves, unachievable by calculation-based AI, necessitating perceptual human augmentation[1].

⏳ Timeline

2015-07
Hove et al. publish fMRI study on shamanic trance showing increased DMN and control network connectivity during drumming-induced states[2].
2016-01
Hove et al. findings detailed in Cerebral Cortex on trance neural underpinnings with reduced auditory processing[2].
2021-03
EEG study on 24 shamanic practitioners reveals gamma band changes, decreased diversity, and increased criticality in trance versus controls[1].
2024-04
Yale researchers propose brain states as wave-like patterns, bridging static snapshots and rhythmic activity for better cognition understanding[5].
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