AI Literacy Against Worship
AI literacy against worship is the episode’s argument that public AI education should begin with orientation, limits, and self-command before tool training. In E42 孟岩对话韦青：沉默的主角, Wei Qing / 韦青 warns that people can move from AI admiration into sensory capture and surrender if they learn tools without learning how tools shape attention and desire.
The concept supports public basic AI education and services, but treats commercial “free” AI differently when the product directly acts on the user’s attention and cognition. Literacy means understanding capability, hidden price, language framing, data and information boundaries, personal-agent choices, and the human responsibility that remains after the tool becomes powerful.
167: 洋葱学园杨临风：用AI制造捷径，是在杀死真学习 adds the student version. Literacy includes knowing when AI is helping learning and when it is becoming AI Shortcut Risk: a convenient path that removes the reasoning, recall, and error correction needed for Self-Directed Learning.
Key Claims
- AI education should not start only with prompt tricks or product walkthroughs.
- People need concepts for AI limits, incentives, language framing, attention capture, and final responsibility.
- Public baseline education or services can reduce access gaps if they do not simply become another attention-capture channel.
- Tool fluency without self-command can deepen AI worship, overtrust, and passive consumption.
- Literacy should preserve human agency: why to use AI, when not to use it, and what kind of person is being amplified.
- In education, AI literacy includes recognizing that a correct answer can still be a bad learning action if it bypasses the student’s own thinking.
Connections
- Wei Qing / 韦青 — source speaker.
- Human Agency Under AI and Human-Machine Amplification — literacy starts from the user’s state and purpose.
- Attention Industrialization and AI Use Pacing — practical risks literacy must cover.
- Language Precision — naming AI systems changes what people believe they are using.
- AI Governance And Compliance — organizational and public guardrails around AI use.
- AI Shortcut Risk, AI As Tutor, and Learning How To Learn — student-learning branch added by Yangcong Xueyuan.