Drafting Contract
This file is the compact contract for a future drafting agent. It assumes the scaffold is already stable.
Output Target
Create a draft file only when explicitly asked, probably:
ai_systems/ai_views_blog.qmd
Do not overwrite ai_systems/ai_views.md.
Target Shape
The draft should be a blog post, not an academic paper.
Target:
- One title.
- Short opening.
- 8 to 10 titled sections.
- One substantial paragraph per body section by default.
- No abstract.
- No numbered theorem-like structure.
- No long literature-review section.
- References cited where claims need support.
Approximate length:
- First draft: 3500 to 5500 words.
- Shorter is better if the argument remains complete.
Primary Argument
The post should make this argument and no larger one:
- AI progress is shaped by feedback cost.
- Proof search is a clean example because correctness can sometimes be checked cheaply.
- Mathematical work also requires question selection, digestion, training, and community knowledge.
- Institutions may reward the part of science that AI makes easiest to measure.
- Broad questions about plateau, AGI, and replacement should be split by feedback regime.
Section Order
Use the order in article_spine.md unless the author changes it.
If shortening is needed, merge:
- Cheap Feedback + Feedback Cost Map.
- Importance Oracle + Conjecture Economy.
- Synthesis Debt + Community Layer.
- Plateau + Amplification To Replacement.
Do not drop:
- Cheap feedback.
- Proof generation / verification / digestion.
- Importance oracle.
- Synthesis debt.
- Acquisition asymmetry.
- Measurability distortion.
Citation Rules
- Cite only verified sources in public prose.
- Unverified sources can appear only as TODO comments in scaffold, not in the final draft.
- Use
source_map.md to place citations.
- Do not turn a paragraph into a citation catalog.
- If the draft uses Erdos, decide whether to keep ASCII
Erdos or use the accented form consistently with site style.
Tone Rules
- No manifesto voice.
- No staccato chain of short declarative sentences.
- No mechanical conversion of scaffold bullets into prose.
- No “crisis” language unless the paragraph gives a concrete mechanism.
- No generic AI adjectives: transformative, revolutionary, unprecedented.
- No performative humility: “I may be wrong, but…”
- No hype-deflation theater: “This is not X, it is Y” unless X is an actual misconception.
- No long throat-clearing about online discourse.
Final Paragraph
End with the feedback-loop test. Do not end with vague warnings about humanity, civilization, or the future of work.
Candidate ending function:
- State that AI already does parts of mathematics and science.
- State that the useful question is which feedback loops it can close.
- State that the remaining bottlenecks are not automatically less important because they are harder to measure.