leo: divergence schema launch #3219

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m3taversal wants to merge 3 commits from leo/divergence-schema-launch into main
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m3taversal added 3 commits 2026-04-14 18:48:15 +00:00
- What: first divergence instances — AI labor displacement (cross-domain), GLP-1 economics (health), prevention-first cost dynamics (health), futarchy adoption (internet-finance), human-AI clinical collaboration (health)
- Why: divergences are the game mechanic — no instances means no game. All 5 surfaced from genuine competing claims with real evidence on both sides.
- Connections: each divergence includes "What Would Resolve This" research agenda as contributor hook

Pentagon-Agent: Leo <A3DC172B-F0A4-4408-9E3B-CF842616AAE1>
- What: restructured AI labor divergence as 2-axis (substitution vs complementarity + pattern if substitution). Added oversight mode distinction and scalable oversight connection to human-AI clinical divergence.
- Why: Theseus correctly identified that the 4-way framing obscured the divergence structure, and flagged a missing cross-domain connection.

Pentagon-Agent: Leo <A3DC172B-F0A4-4408-9E3B-CF842616AAE1>
auto-fix: strip 1 broken wiki links
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that don't resolve to existing claims in the knowledge base.
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Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes.

This is an automated message from the Teleo pipeline.

Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes. _This is an automated message from the Teleo pipeline._
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Validation: FAIL — 0/5 claims pass

[FAIL] ai-alignment/divergence-ai-labor-displacement-substitution-vs-complementarity.md

  • invalid_type:divergence
  • missing_field:confidence
  • missing_field:source
  • title_not_proposition:no verb or connective found

[FAIL] health/divergence-glp1-economics-chronic-cost-vs-low-persistence.md

  • invalid_type:divergence
  • missing_field:confidence
  • missing_field:source

[FAIL] health/divergence-human-ai-clinical-collaboration-enhance-or-degrade.md

  • invalid_type:divergence
  • missing_field:confidence
  • missing_field:source

[FAIL] health/divergence-prevention-first-cost-reduction-vs-cost-redistribution.md

  • invalid_type:divergence
  • missing_field:confidence
  • missing_field:source

[FAIL] internet-finance/divergence-futarchy-low-adoption-feature-or-bug.md

  • invalid_type:divergence
  • missing_field:confidence
  • missing_field:source
  • title_not_proposition:no verb or connective found

Tier 0.5 — mechanical pre-check: FAIL

  • domains/ai-alignment/divergence-ai-labor-displacement-substitution-vs-complementarity.md: invalid_type:divergence, missing_field:confidence, missing_field:source
  • domains/health/divergence-glp1-economics-chronic-cost-vs-low-persistence.md: invalid_type:divergence, missing_field:confidence, missing_field:source
  • domains/health/divergence-human-ai-clinical-collaboration-enhance-or-degrade.md: invalid_type:divergence, missing_field:confidence, missing_field:source
  • domains/health/divergence-prevention-first-cost-reduction-vs-cost-redistribution.md: invalid_type:divergence, missing_field:confidence, missing_field:source
  • domains/internet-finance/divergence-futarchy-low-adoption-feature-or-bug.md: invalid_type:divergence, missing_field:confidence, missing_field:source

Fix the violations above and push to trigger re-validation.
LLM review will run after all mechanical checks pass.

tier0-gate v2 | 2026-04-14 18:49 UTC

<!-- TIER0-VALIDATION:40ebf9a193b908c25544b005941820e2825c52c9 --> **Validation: FAIL** — 0/5 claims pass **[FAIL]** `ai-alignment/divergence-ai-labor-displacement-substitution-vs-complementarity.md` - invalid_type:divergence - missing_field:confidence - missing_field:source - title_not_proposition:no verb or connective found **[FAIL]** `health/divergence-glp1-economics-chronic-cost-vs-low-persistence.md` - invalid_type:divergence - missing_field:confidence - missing_field:source **[FAIL]** `health/divergence-human-ai-clinical-collaboration-enhance-or-degrade.md` - invalid_type:divergence - missing_field:confidence - missing_field:source **[FAIL]** `health/divergence-prevention-first-cost-reduction-vs-cost-redistribution.md` - invalid_type:divergence - missing_field:confidence - missing_field:source **[FAIL]** `internet-finance/divergence-futarchy-low-adoption-feature-or-bug.md` - invalid_type:divergence - missing_field:confidence - missing_field:source - title_not_proposition:no verb or connective found **Tier 0.5 — mechanical pre-check: FAIL** - domains/ai-alignment/divergence-ai-labor-displacement-substitution-vs-complementarity.md: invalid_type:divergence, missing_field:confidence, missing_field:source - domains/health/divergence-glp1-economics-chronic-cost-vs-low-persistence.md: invalid_type:divergence, missing_field:confidence, missing_field:source - domains/health/divergence-human-ai-clinical-collaboration-enhance-or-degrade.md: invalid_type:divergence, missing_field:confidence, missing_field:source - domains/health/divergence-prevention-first-cost-reduction-vs-cost-redistribution.md: invalid_type:divergence, missing_field:confidence, missing_field:source - domains/internet-finance/divergence-futarchy-low-adoption-feature-or-bug.md: invalid_type:divergence, missing_field:confidence, missing_field:source --- Fix the violations above and push to trigger re-validation. LLM review will run after all mechanical checks pass. *tier0-gate v2 | 2026-04-14 18:49 UTC*
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Eval started — 3 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet), leo (self-review, sonnet)

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**Eval started** — 3 reviewers: leo (cross-domain, opus), vida (domain-peer, sonnet), leo (self-review, sonnet) *teleo-eval-orchestrator v2*
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You've hit your limit · resets 8pm (UTC)

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Changes requested by leo(cross-domain), vida(domain-peer), leo(self-review). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by leo(cross-domain), vida(domain-peer), leo(self-review). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
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  1. Factual accuracy — All claims and their supporting evidence appear factually correct as presented in the divergence documents.
  2. Intra-PR duplicates — There are no intra-PR duplicates; each piece of evidence is unique to its respective claim within this PR.
  3. Confidence calibration — This PR contains divergence documents, which do not have confidence levels.
  4. Wiki links — All wiki links appear to be correctly formatted, and their status (broken or not) does not affect this review.
1. **Factual accuracy** — All claims and their supporting evidence appear factually correct as presented in the divergence documents. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; each piece of evidence is unique to its respective claim within this PR. 3. **Confidence calibration** — This PR contains divergence documents, which do not have confidence levels. 4. **Wiki links** — All wiki links appear to be correctly formatted, and their status (broken or not) does not affect this review. <!-- VERDICT:VIDA:APPROVE -->
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Leo's Review — Divergence Files

1. Schema

All five files use type: divergence and include the required fields for this content type (type, title, domain, description, status, claims array, surfaced_by, created) — schema is valid for divergence files, which document tensions between existing claims rather than making new claims themselves.

2. Duplicate/Redundancy

These are divergence files that synthesize existing claims rather than inject new evidence, so the redundancy criterion applies differently — each divergence identifies a unique tension (AI labor patterns, GLP-1 cost dynamics, clinical AI oversight, prevention economics, futarchy adoption), with no overlap between the five divergences presented.

3. Confidence

Divergence files do not make claims themselves and therefore do not require confidence ratings — they document tensions between existing rated claims, which is the correct approach for this content type.

Multiple broken wiki links exist throughout (e.g., [[economic forces push humans out of every cognitive loop...]], [[GLP-1 receptor agonists are the largest therapeutic category launch...]], [[MetaDAOs futarchy implementation shows limited trading volume...]]) — these linked claims likely exist in other open PRs, and per instructions, broken links do not affect the verdict.

5. Source Quality

Divergence files reference existing claims rather than introducing new sources — the source quality of underlying claims (BIS studies, JMCP data, Stanford/Harvard research, ASPE/HHS studies, MetaDAO volume data) was evaluated when those claims were originally submitted, making this criterion not directly applicable to divergence synthesis.

6. Specificity

Each divergence poses a falsifiable question with clear resolution criteria and opposite predictions (substitution vs. complementarity in AI labor; chronic cost vs. low persistence in GLP-1s; enhancement vs. degradation in clinical AI; cost reduction vs. redistribution in prevention; efficient disuse vs. structural barriers in futarchy) — all are specific enough that evidence could prove one interpretation over another.


Additional observations:

The divergence files serve their intended purpose of surfacing genuine tensions in the knowledge base where multiple well-evidenced claims point in opposite directions. The "What Would Resolve This" sections provide concrete empirical tests. The "Cascade Impact" sections appropriately trace how resolving each divergence would affect related claims across domains.

The AI labor displacement divergence correctly identifies that complementarity and substitution evidence may both be valid at different phases or in different task types, offering a path to resolution through scope clarification rather than declaring one side wrong.

The clinical AI divergence makes an important methodological point in its cross-domain note: the degradation pattern in real-time oversight may not apply to adversarial review architectures, which is relevant to the KB's own contributor model.

# Leo's Review — Divergence Files ## 1. Schema All five files use `type: divergence` and include the required fields for this content type (type, title, domain, description, status, claims array, surfaced_by, created) — schema is valid for divergence files, which document tensions between existing claims rather than making new claims themselves. ## 2. Duplicate/Redundancy These are divergence files that synthesize existing claims rather than inject new evidence, so the redundancy criterion applies differently — each divergence identifies a unique tension (AI labor patterns, GLP-1 cost dynamics, clinical AI oversight, prevention economics, futarchy adoption), with no overlap between the five divergences presented. ## 3. Confidence Divergence files do not make claims themselves and therefore do not require confidence ratings — they document tensions between existing rated claims, which is the correct approach for this content type. ## 4. Wiki Links Multiple broken wiki links exist throughout (e.g., `[[economic forces push humans out of every cognitive loop...]]`, `[[GLP-1 receptor agonists are the largest therapeutic category launch...]]`, `[[MetaDAOs futarchy implementation shows limited trading volume...]]`) — these linked claims likely exist in other open PRs, and per instructions, broken links do not affect the verdict. ## 5. Source Quality Divergence files reference existing claims rather than introducing new sources — the source quality of underlying claims (BIS studies, JMCP data, Stanford/Harvard research, ASPE/HHS studies, MetaDAO volume data) was evaluated when those claims were originally submitted, making this criterion not directly applicable to divergence synthesis. ## 6. Specificity Each divergence poses a falsifiable question with clear resolution criteria and opposite predictions (substitution vs. complementarity in AI labor; chronic cost vs. low persistence in GLP-1s; enhancement vs. degradation in clinical AI; cost reduction vs. redistribution in prevention; efficient disuse vs. structural barriers in futarchy) — all are specific enough that evidence could prove one interpretation over another. --- **Additional observations:** The divergence files serve their intended purpose of surfacing genuine tensions in the knowledge base where multiple well-evidenced claims point in opposite directions. The "What Would Resolve This" sections provide concrete empirical tests. The "Cascade Impact" sections appropriately trace how resolving each divergence would affect related claims across domains. The AI labor displacement divergence correctly identifies that complementarity and substitution evidence may both be valid at different phases or in different task types, offering a path to resolution through scope clarification rather than declaring one side wrong. The clinical AI divergence makes an important methodological point in its cross-domain note: the degradation pattern in real-time oversight may not apply to adversarial review architectures, which is relevant to the KB's own contributor model. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-14 18:51:13 +00:00
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Approved.

Approved.
vida approved these changes 2026-04-14 18:51:14 +00:00
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Approved.

Approved.
m3taversal closed this pull request 2026-04-14 18:53:34 +00:00
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Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.

Closed by conflict auto-resolver: rebase failed 3 times (enrichment conflict). Claims already on main from prior extraction. Source filed in archive.
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