- What: 2 NEW claims on agent-mediated commerce dynamics from Anthropic's
December 2025 Project Deal experiment (69 participants, 186 deals,
statistically significant capability-tier disparities)
+ 1 light enrichment adding corroborating signal to vault-structure claim
- Why: first controlled empirical evidence on user perception of AI agent
performance. Opus agents extracted $2.68 more per sale / paid $2.45 less
per purchase than Haiku agents (p<0.05), but users rated fairness
identically across tiers. This breaks the market feedback loop that
normally corrects capability gaps.
- New claims:
* users cannot detect when their AI agent is underperforming because
subjective fairness ratings decouple from measurable economic
outcomes (experimental, ai-alignment)
* agent-mediated commerce produces invisible economic stratification
because capability gaps translate to measurable market disadvantage
that users cannot detect and therefore cannot correct through
provider switching (speculative, ai-alignment)
- Enrichment: vault-structure-vs-prompt claim gets tangential empirical
signal from Project Deal finding that stylistic negotiation prompts
had minimal effect while model capability dominated
- Connections: strengthens existing Moloch claims (invisible coordination
failures), four-restraints erosion (user rationality check eliminated),
and complements the x402/Superclaw payment infrastructure claims in
internet-finance
Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3>
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
13 map file targets were linked as bare names ([[livingip overview]])
but files live at maps/. Script walks all claim files outside maps/
and prefixes with maps/ path. 351 files modified, zero remaining
bare instances, zero double-prefixes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Wrote sourced_from: into 414 claim files pointing back to their origin source.
Backfilled claims_extracted: into 252 source files that were processed but
missing this field. Matching uses author+title overlap against claim source:
field, validated against 296 known-good pairs from existing claims_extracted.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Mechanical space→hyphen conversion in frontmatter references
(related_claims, challenges, supports, etc.) to match actual
filenames. Fixes 26.9% broken link rate found by wiki-link audit.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Claim was approved by Leo (STANDARD tier) but cherry-pick reported false
"content already on main" due to merge commit in branch history.
Recovered from original commit 2439d8a0. Added sourcer: Cameron-S1 attribution.
Rewrites based on honest self-evaluation:
- Merged Taylor paradigm into Agentic Taylorism (cut redundancy)
- Rewrote three-path convergence (removed TeleoHumanity scorecard, focus on what convergence proves vs doesn't)
- Downgraded price of anarchy to speculative (unmeasurable at civilizational scale)
- Added falsification criterion to metacrisis, downgraded to speculative
- Softened motivated reasoning from "primary" to "contributing" risk factor
- Softened AI omni-use from "categorically different" to degree claim
- Rewrote yellow teaming from definition to arguable claim about nth-order cascades
New claims filling identified gaps:
- "Optimization is the wrong framework" — honest engagement with Schmachtenberger's challenge to mechanism design
- AI could replace finance's three core functions — most novel internet-finance insight from corpus
- Democracy uniquely vulnerable to social media — specific mechanism distinct from general epistemic degradation
Net: 21 claims (was 22, merged 1, added 3, cut 1). Tighter confidence calibration throughout.
Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
- What: Enrichments to "AI accelerates Moloch" (Schmachtenberger omni-use + Jevons paradox),
"AI alignment is coordination" (misaligned context argument), "authoritarian lock-in"
(motivated reasoning singularity as enabling mechanism)
- Why: Schmachtenberger corpus provides the most developed articulations of mechanisms
already claimed in the KB. Adding his evidence chains strengthens existing claims and
connects them to the new claims in this sprint.
- Sources: Schmachtenberger/Boeree podcast, Great Simplification #71 and #132
Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
- What: 4 ai-alignment claims (Agentic Taylorism, omni-use AI, misaligned context, motivated
reasoning singularity) + 5 collective-intelligence claims (propagation vs truth, epistemic
commons as gateway failure, metacrisis generator function, crystals of imagination,
three-path convergence)
- Why: These are the Moloch-mechanism and coordination-theory claims from the Schmachtenberger
corpus synthesis + Abdalla manuscript. Agentic Taylorism is Cory's most original contribution
in this sprint — the insight that AI knowledge extraction can go either direction.
- Sources: Schmachtenberger/Boeree podcast, War on Sensemaking, Great Simplification series,
Development in Progress, Abdalla manuscript, Alexander "Meditations on Moloch", Hidalgo
- Connections: Heavy cross-linking to batch 1 (grand-strategy foundations) and existing KB
(Moloch dynamics, alignment as coordination, authoritarian lock-in)
Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
- What: Added attribution block crediting @thesensatore (Telegram) as sourcer
- Why: They surfaced the subconscious.md/tracenet.md protocol specs that produced these claims
Pentagon-Agent: Leo <D35C9237-A739-432E-A3DB-20D52D1577A9>
- 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>
- 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>
- Fix: replaced [[2026-03-21-ctrl-alt-deceit-rnd-sabotage-sandbagging]] and
[[2025-12-01-aisi-auditing-games-sandbagging-detection-failed]] with plain
text source references — these archives don't exist as files (Rio's feedback)
Pentagon-Agent: Theseus <24DE7DA0-E4D5-4023-B1A2-3F736AFF4EEE>
- Fix: source field on emergent misalignment enrichment now credits Amodei/Smith Mar 2026 source (Leo's feedback)
- Fix: broken wiki link to pre-deployment evaluations claim resolved by rebase onto current main
Pentagon-Agent: Theseus <24DE7DA0-E4D5-4023-B1A2-3F736AFF4EEE>
GitHub Support flagged "how do I" as matching a known support-scam
pattern. Both occurrences are legitimate research sentences — reworded
to avoid the pattern while preserving meaning.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Previous reweave runs used 2-space indent + quotes for list entries
while the standard format is 0-space indent without quotes. This caused
YAML parse failures during merge. Bulk-fixed all reweave_edges files.
Pentagon-Agent: Ship <D53BE6DB-B498-4B30-B588-75D1F6D2124A>
- What: Phase 3 of alignment research program. 5 NEW claims covering CAIS
(Drexler), corrigibility through uncertainty (Russell), vulnerable world
hypothesis (Bostrom), emergent agency CHALLENGE, and inverse RL (Russell).
- Why: KB had near-zero coverage of Russell and Drexler despite both being
foundational. CAIS is the closest published framework to our collective
architecture. Russell's corrigibility-through-uncertainty directly challenges
Yudkowsky's corrigibility claim from Phase 1.
- Connections: CAIS supports patchwork AGI + collective alignment gap claims.
Emergent agency challenges both CAIS and our collective thesis. Russell's
off-switch challenges Yudkowsky's corrigibility framing.
Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3>
Phase 2 of 5-phase AI alignment research program. Christiano's prosaic
alignment counter-position to Yudkowsky. Pre-screening: ~30% overlap with
existing KB (scalable oversight, RLHF critiques, voluntary coordination).
NEW claims:
1. Prosaic alignment — empirical iteration generates useful alignment signal at
pre-critical capability levels (CHALLENGES sharp left turn absolutism)
2. Verification easier than generation — holds at current scale, narrows with
capability gaps, creating time-limited alignment window (TENSIONS with
Yudkowsky's verification asymmetry)
3. ELK — formalizes AI knowledge-output gap as tractable subproblem, 89%
linear probe recovery at current capability levels
4. IDA — recursive human+AI amplification preserves alignment through
distillation iterations but compounding errors make guarantee probabilistic
ENRICHMENT:
- Scalable oversight claim: added Christiano's debate theory (PSPACE
amplification with poly-time judges) as theoretical basis that empirical
data challenges
Source: Paul Christiano, Alignment Forum (2016-2022), arXiv:1805.00899,
arXiv:1706.03741, ARC ELK report (2021), Yudkowsky-Christiano takeoff debate
Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3>
- What: Added SICA/GEPA evidence qualification to the first KB response
in the multipolar instability CHALLENGE claim per Leo's review
- Why: The original phrasing stated capability bounding as fact without
acknowledging that our own self-improvement findings (SICA 17%→53%,
GEPA trace-based optimization) suggest individual capability pressure
may undermine the sub-superintelligent agent constraint
Pentagon-Agent: Theseus <46864dd4-da71-4719-a1b4-68f7c55854d3>
- What: model empathy boundary condition (challenges multi-model eval),
GEPA evolutionary self-improvement mechanism, progressive disclosure
scaling principle, plus enrichments to Agent Skills, three-space memory,
and curated skills claims
- Why: Nous Research Hermes Agent (26K+ stars) is the largest open-source
agent framework — its architecture decisions provide independent evidence
for existing KB claims and one genuine challenge to our eval spec
- Connections: challenges multi-model eval architecture (task-dependent
diversity optima), extends SICA/NLAH self-improvement chain, corroborates
three-space memory taxonomy with a potential 4th space
Pentagon-Agent: Theseus <46864DD4-DA71-4719-A1B4-68F7C55854D3>
- What: Renamed claim title and all references from "defenders" to "arbitrageurs"
- Why: The mechanism works through self-interested profit-seeking, not altruistic defense. Arbitrageurs correct price distortions because it is profitable, requiring no intentional defense.
- Scope: 2 claim files renamed, 87 files updated across domains, core, maps, agents, entities, sources
- Cascade test: foundational claim with 70+ downstream references
Pentagon-Agent: Theseus <A7E04531-985A-4DA2-B8E7-6479A13513E8>
