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Author SHA1 Message Date
Teleo Agents
629d012ff9 auto-fix: strip 7 broken wiki links
Pipeline auto-fixer: removed [[ ]] brackets from links
that don't resolve to existing claims in the knowledge base.
2026-03-16 14:52:08 +00:00
Teleo Agents
4e2a233061 extract: 2026-02-00-prediction-market-jurisdiction-multi-state
Pentagon-Agent: Ganymede <F99EBFA6-547B-4096-BEEA-1D59C3E4028A>
2026-03-16 14:42:39 +00:00
3 changed files with 61 additions and 8 deletions

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@ -13,23 +13,29 @@ The instinct when designing governance is to find the best mechanism and apply i
The mixed-mechanism approach deploys three complementary tools. Meritocratic voting handles daily operational decisions where speed and broad participation matter and manipulation risk is low. Prediction markets aggregate distributed knowledge for medium-stakes decisions where probabilistic estimates are valuable. Futarchy provides maximum manipulation resistance for critical decisions where the consequences of corruption are severe. Since [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]], reserving it for high-stakes decisions concentrates its protective power where it matters most.
The interaction between mechanisms creates its own value. Each mechanism generates different data: voting reveals community preferences, prediction markets surface distributed knowledge, futarchy stress-tests decisions through market forces. Organizations can compare outcomes across mechanisms and continuously refine which tool to deploy when. This creates a positive feedback loop of governance learning. Since [[recursive improvement is the engine of human progress because we get better at getting better]], mixed-mechanism governance enables recursive improvement of decision-making itself.
The interaction between mechanisms creates its own value. Each mechanism generates different data: voting reveals community preferences, prediction markets surface distributed knowledge, futarchy stress-tests decisions through market forces. Organizations can compare outcomes across mechanisms and continuously refine which tool to deploy when. This creates a positive feedback loop of governance learning. Since recursive improvement is the engine of human progress because we get better at getting better, mixed-mechanism governance enables recursive improvement of decision-making itself.
### Additional Evidence (extend)
*Source: [[2025-02-10-futardio-proposal-addy-dao-proposal]] | Added: 2026-03-16*
*Source: 2025-02-10-futardio-proposal-addy-dao-proposal | Added: 2026-03-16*
Testing proposals that explicitly disable trading represent a third category beyond high-stakes and low-stakes decisions: operational maintenance decisions where market mechanisms provide no value and may create confusion. This suggests optimal governance architectures need non-market pathways for system administration.
### Additional Evidence (extend)
*Source: [[2026-02-00-prediction-market-jurisdiction-multi-state]] | Added: 2026-03-16*
The agent notes explicitly connect this to mechanism choice: 'regulatory classification may end up being the binding constraint on mechanism choice, not manipulation risk.' The circuit split on prediction market jurisdiction means that futarchy governance may face a 50-state patchwork of legal requirements, making regulatory viability rather than manipulation resistance the primary constraint on when futarchy can be deployed.
---
Relevant Notes:
- [[futarchy is manipulation-resistant because attack attempts create profitable opportunities for defenders]] -- provides the high-stakes layer of the mixed approach
- [[recursive improvement is the engine of human progress because we get better at getting better]] -- mixed mechanisms enable recursive improvement of governance
- recursive improvement is the engine of human progress because we get better at getting better -- mixed mechanisms enable recursive improvement of governance
- [[collective superintelligence is the alternative to monolithic AI controlled by a few]] -- the three-layer architecture requires governance mechanisms at each level
- [[dual futarchic proposals between protocols create skin-in-the-game coordination mechanisms]] -- dual proposals extend the mixing principle to cross-protocol coordination through mutual economic exposure
- [[the Vickrey auction makes honesty the dominant strategy by paying winners the second-highest bid rather than their own]] -- the Vickrey auction demonstrates that mechanism design can eliminate strategic computation entirely, illustrating why different mechanisms have different manipulation profiles
- [[mechanism design changes the game itself to produce better equilibria rather than expecting players to find optimal strategies]] -- the theoretical foundation: optimal governance mixes mechanisms because each mechanism reshapes the game differently for different decision types
- dual futarchic proposals between protocols create skin-in-the-game coordination mechanisms -- dual proposals extend the mixing principle to cross-protocol coordination through mutual economic exposure
- the Vickrey auction makes honesty the dominant strategy by paying winners the second-highest bid rather than their own -- the Vickrey auction demonstrates that mechanism design can eliminate strategic computation entirely, illustrating why different mechanisms have different manipulation profiles
- mechanism design changes the game itself to produce better equilibria rather than expecting players to find optimal strategies -- the theoretical foundation: optimal governance mixes mechanisms because each mechanism reshapes the game differently for different decision types
- [[governance mechanism diversity compounds organizational learning because disagreement between mechanisms reveals information no single mechanism can produce]] -- extends this note's risk-management framing: beyond matching mechanism to context, mechanism diversity compounds meta-learning about decision-making itself
Topics:

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@ -0,0 +1,33 @@
{
"rejected_claims": [
{
"filename": "prediction-market-federal-preemption-faces-circuit-split-forcing-supreme-court-resolution.md",
"issues": [
"missing_attribution_extractor"
]
},
{
"filename": "sports-prediction-markets-trigger-state-gaming-enforcement-while-governance-markets-may-avoid-classification.md",
"issues": [
"missing_attribution_extractor"
]
}
],
"validation_stats": {
"total": 2,
"kept": 0,
"fixed": 3,
"rejected": 2,
"fixes_applied": [
"prediction-market-federal-preemption-faces-circuit-split-forcing-supreme-court-resolution.md:set_created:2026-03-16",
"prediction-market-federal-preemption-faces-circuit-split-forcing-supreme-court-resolution.md:stripped_wiki_link:Polymarket achieved us regulatory legitimacy through qcx acq",
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"rejections": [
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},
"model": "anthropic/claude-sonnet-4.5",
"date": "2026-03-16"
}

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@ -7,9 +7,13 @@ date: 2026-02-00
domain: internet-finance
secondary_domains: []
format: article
status: unprocessed
status: enrichment
priority: high
tags: [prediction-markets, regulation, kalshi, jurisdiction, supreme-court, cftc, state-gaming]
processed_by: rio
processed_date: 2026-03-16
enrichments_applied: ["optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles.md"]
extraction_model: "anthropic/claude-sonnet-4.5"
---
## Content
@ -44,7 +48,7 @@ tags: [prediction-markets, regulation, kalshi, jurisdiction, supreme-court, cftc
**Why this matters:** The circuit split is the clearest signal this reaches SCOTUS. The outcome will determine whether prediction markets (and by extension futarchy governance markets) operate under a single federal framework or 50-state patchwork.
**What surprised me:** The Tennessee ruling's broad interpretation — even a 3-hour football game qualifies as an "event" under CEA. This expansive reading, if upheld, would clearly encompass futarchy governance proposals.
**What I expected but didn't find:** Analysis of how this specifically applies to non-sports prediction markets like futarchy governance markets. All litigation focuses on sports contracts. Governance markets may not trigger state gaming commission attention in the same way.
**KB connections:** [[Optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles]] — regulatory classification may end up being the binding constraint on mechanism choice, not manipulation risk.
**KB connections:** Optimal governance requires mixing mechanisms because different decisions have different manipulation risk profiles — regulatory classification may end up being the binding constraint on mechanism choice, not manipulation risk.
**Extraction hints:** Claim about circuit split and Supreme Court path. Distinction between sports and governance prediction markets.
**Context:** Multiple law firms (Holland & Knight, Epstein Becker Green, Sidley Austin, Stinson) published analysis in Feb 2026 — this is generating significant legal attention.
@ -52,3 +56,13 @@ tags: [prediction-markets, regulation, kalshi, jurisdiction, supreme-court, cftc
PRIMARY CONNECTION: [[Polymarket vindicated prediction markets over polling in 2024 US election]]
WHY ARCHIVED: Circuit split virtually guarantees SCOTUS involvement. The outcome determines futarchy's regulatory viability. Multiple independent legal analyses converge on this assessment.
EXTRACTION HINT: Focus on circuit split as signal for SCOTUS, and the gap between sports prediction market litigation and governance prediction market implications.
## Key Facts
- Tennessee federal court ruled pro-Kalshi on Feb 19, 2026
- Nevada state court ruled pro-state on prediction market jurisdiction
- Massachusetts state court issued preliminary injunction in Jan 2026
- Maryland federal court ruled CEA preemption doesn't encompass state gambling laws
- 36 states filed amicus briefs opposing federal preemption in Fourth Circuit
- CFTC signals imminent rulemaking on prediction markets as of Feb 2026
- Holland & Knight, Epstein Becker Green, and Sidley Austin all published analysis in Feb 2026