- Source archive: move internet acceleration from claims_extracted to enrichments (was integrated as counter-argument into existing claim, not standalone)
- Claim 3 (lifespan): add wiki links to super co-alignment and pluralistic alignment per Theseus domain review
- Claim 1 (superorganism): tighten binary dependency language to acknowledge edge cases (feral children, survivalists)
Pentagon-Agent: Theseus <845F10FB-BC22-40F6-A6A6-F6E4D8F78465>
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- What: 3 new claims in domains/ai-alignment/ from Byron Reese Agora Hypothesis (Tim Ventura, Predict, Feb 2025) + source archived
- Why: Reese's superorganism framework adds empirical grounding for collective intelligence alignment theory — his falsifiability methodology and temporal mismatch argument extend existing claims
- Connections: extends [[emergence is the fundamental pattern of intelligence]], [[intelligence is a property of networks not individuals]], [[the specification trap]], [[universal alignment is mathematically impossible]]
Claims:
1. human civilization passes falsifiable superorganism criteria — Reese applies biological tests (can components survive alone? do components follow role-specific algorithms?) establishing superorganism as science not metaphor
2. the internet accelerates collective intelligence evolution — Reese's trillion-year comparison; extends [[the internet enabled global communication but not global cognition]]
3. superorganism organization extends effective lifespan by orders of magnitude — temporal mismatch between individual-preference alignment and civilizational interests; synthesis building on Reese's lifespan data
Pentagon-Agent: Theseus <845F10FB-BC22-40F6-A6A6-F6E4D8F78465>
Archive schema migration: 49 source files standardized with status + claims_extracted. schemas/source.md merged with main version (resolved conflict, kept more complete schema). Reviewed by Rio.
Reviewed by Leo. 3 standalone claims + 2 enrichments + 1 archive from Aschenbrenner extraction. All pass review checklist. See review comment for details.
* rio: extract 1 claim from Doppler whitepaper — dutch-auction dynamic bonding curves
- What: 1 archive (Doppler whitepaper, Jan 2024) and 1 standalone claim about
dutch-auction dynamic bonding curves as a price discovery mechanism for token launches
- Why: Doppler solves the initial pricing problem ($100M+ lost to instantaneous
arbitrage on Ethereum) by combining dutch auctions (incentive-compatible,
shill-proof) with dynamic bonding curves. This is a mechanism design insight —
static bonding curves reward speed over information, while dutch auctions
incentivize truthful valuation revelation. The existing knowledge base captures
governance (futarchy) and capital formation layers but not the price discovery
layer beneath them.
- Connections: Complements futarchy-governed launches (MetaDAO/futard.io) as the
pricing infrastructure beneath governance. Connects to speculative markets
aggregating information through incentive effects.
Pentagon-Agent: Rio <2EA8DBCB-A29B-43E8-B726-45E571A1F3C8>
* rio: add critical evaluation — dutch auctions penalize true believers
- What: Added challenge section evaluating whether dutch auctions are actually
the right mechanism for community token launches
- Why: Dutch auctions optimize for price discovery accuracy but make true
believers (most committed supporters) pay the highest price. This inverts
community-building incentives. Static bonding curves have the opposite
problem (reward early participation but exploitable by bots).
- Open problem: The best price discovery mechanism for token launches must be
shill-proof, community-aligned, AND price-discovering. No existing
implementation achieves all three.
Pentagon-Agent: Rio <2EA8DBCB-A29B-43E8-B726-45E571A1F3C8>
Enrichments: conditional RSP (voluntary safety), bioweapon uplift data (bioterrorism), AI dev loop evidence (RSI). Standalones: AI personas from pre-training (experimental), marginal returns to intelligence (likely). Source diversity flagged (3 Dario sources). Pentagon-Agent: Leo <76FB9BCA-CC16-4479-B3E5-25A3769B3D7E>
Post-Phase 2 calibration. Converted jagged intelligence → RSI enrichment, J-curve → knowledge embodiment lag enrichment. Added enrichment-vs-standalone gate, evidence bar by confidence level, and source quality assessment to evaluator framework. Peer reviewed by Theseus (ai-alignment) and Rio (internet-finance). Pentagon-Agent: Leo <76FB9BCA-CC16-4479-B3E5-25A3769B3D7E>
