Compare commits

..

5 commits

Author SHA1 Message Date
Teleo Agents
32b0b600cc extract: 2026-03-17-arizona-ag-criminal-charges-kalshi
Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>
2026-03-18 09:37:24 +00:00
Teleo Agents
c15afffaf2 entity-batch: update 1 entities
- Applied 2 entity operations from queue
- Files: entities/internet-finance/metadao.md

Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>
2026-03-18 09:36:56 +00:00
Teleo Agents
6373e4e0bf entity-batch: update 1 entities
- Applied 1 entity operations from queue
- Files: entities/internet-finance/kalshi.md

Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>
2026-03-18 09:35:55 +00:00
Leo
d844a888ca Merge pull request 'extract: 2026-03-01-ai-degrades-human-performance-high-stakes' (#1217) from extract/2026-03-01-ai-degrades-human-performance-high-stakes into main 2026-03-18 09:35:13 +00:00
Teleo Agents
57279dd093 extract: 2026-03-01-ai-degrades-human-performance-high-stakes
Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA>
2026-03-18 09:35:11 +00:00
4 changed files with 64 additions and 1 deletions

View file

@ -49,6 +49,7 @@ CFTC-designated contract market for event-based trading. USD-denominated, KYC-re
- **2025-04 to 2026-02** — Kalshi engaged in 50+ legal battles across 8+ jurisdictions over whether sports event contracts are federally preempted derivatives or state-regulated gaming, with conflicting district court rulings creating conditions for Supreme Court review
- **2025-08-01** — Maryland District Court ruled against Kalshi in KalshiEx v. Martin, finding dual compliance with state gambling laws theoretically possible and rejecting field preemption argument (Fourth Circuit appeal No. 25-1892 pending)
- **2026-01-09** — Tennessee Middle District Court ruled in favor of Kalshi in KalshiEx v. Orgel, finding impossibility of dual compliance and obstacle to federal objectives, creating circuit split with Maryland
- **2026-03-17** — Arizona AG filed 20 criminal counts including illegal gambling and election wagering — first-ever criminal charges against a US prediction market platform
## Competitive Position
- **Regulation-first**: Only CFTC-designated prediction market exchange. Institutional credibility.
- **vs Polymarket**: Different market — Kalshi targets mainstream/institutional users who won't touch crypto. Polymarket targets crypto-native users who want permissionless market creation. Both grew massively post-2024 election.

View file

@ -67,6 +67,10 @@ The futarchy governance protocol on Solana. Implements decision markets through
- **2024-08-31** — Passed proposal to enter services agreement with Organization Technology LLC, creating US entity vehicle for paying contributors with $1.378M annualized burn rate. Entity owns no IP (all owned by MetaDAO LLC) and cannot encumber MetaDAO LLC. Agreement cancellable with 30-day notice or immediately for material breach.
- **2024-03-19** — Colosseum proposes $250,000 OTC acquisition of META with TWAP-based pricing (market price up to $850, voided above $1,200), 20% immediate unlock and 80% 12-month linear vest. Proposal passed 2024-03-24. Includes commitment to sponsor DAO track ($50-80K prize pool) in next Solana hackathon after Renaissance at no cost to MetaDAO.
- **2024-03-19** — Colosseum proposed $250,000 OTC acquisition of META tokens with dynamic pricing (TWAP-based up to $850, void above $1,200) and 12-month vesting structure; proposal passed 2024-03-24
- **2026-02-07** — [[metadao-hurupay-ico-failure]] First ICO failure: Hurupay failed to reach $3M minimum, full refunds issued
- **2026-02** — Community rejected via futarchy a $6M OTC deal offering VCs 30% discount on META tokens; rejection triggered 16% price surge
- **2026-03-26** — P2P.me ICO scheduled, targeting $6M raise
- **2026-02-07** — [[metadao-hurupay-ico-failure]] Failed: First ICO failure, Hurupay did not reach $3M minimum despite $7.2M monthly volume
## Key Decisions
| Date | Proposal | Proposer | Category | Outcome |
|------|----------|----------|----------|---------|

View file

@ -0,0 +1,47 @@
{
"rejected_claims": [
{
"filename": "ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md",
"issues": [
"missing_attribution_extractor"
]
},
{
"filename": "ai-changes-human-cognitive-processes-not-just-decisions.md",
"issues": [
"missing_attribution_extractor"
]
},
{
"filename": "joint-activity-testing-evaluates-human-ai-systems-holistically.md",
"issues": [
"missing_attribution_extractor"
]
}
],
"validation_stats": {
"total": 3,
"kept": 0,
"fixed": 10,
"rejected": 3,
"fixes_applied": [
"ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:set_created:2026-03-18",
"ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:human-in-the-loop clinical AI degrades to worse-than-AI-alon",
"ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:AI capability and reliability are independent dimensions",
"ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:stripped_wiki_link:economic forces push humans out of every cognitive loop wher",
"ai-changes-human-cognitive-processes-not-just-decisions.md:set_created:2026-03-18",
"ai-changes-human-cognitive-processes-not-just-decisions.md:stripped_wiki_link:human-in-the-loop clinical AI degrades to worse-than-AI-alon",
"ai-changes-human-cognitive-processes-not-just-decisions.md:stripped_wiki_link:delegating critical infrastructure development to AI creates",
"joint-activity-testing-evaluates-human-ai-systems-holistically.md:set_created:2026-03-18",
"joint-activity-testing-evaluates-human-ai-systems-holistically.md:stripped_wiki_link:pre-deployment-AI-evaluations-do-not-predict-real-world-risk",
"joint-activity-testing-evaluates-human-ai-systems-holistically.md:stripped_wiki_link:multi-agent deployment exposes emergent security vulnerabili"
],
"rejections": [
"ai-degrades-human-performance-asymmetrically-in-high-stakes-settings.md:missing_attribution_extractor",
"ai-changes-human-cognitive-processes-not-just-decisions.md:missing_attribution_extractor",
"joint-activity-testing-evaluates-human-ai-systems-holistically.md:missing_attribution_extractor"
]
},
"model": "anthropic/claude-sonnet-4.5",
"date": "2026-03-18"
}

View file

@ -7,11 +7,15 @@ date: 2026-03-01
domain: ai-alignment
secondary_domains: [health]
format: essay
status: unprocessed
status: null-result
priority: high
triage_tag: claim
tags: [human-ai-performance, high-stakes, degradation, nursing, aviation, nuclear, joint-activity-testing]
flagged_for_vida: ["450 nursing students/nurses tested with AI in ICU cases — performance degrades 96-120% when AI predictions mislead"]
processed_by: theseus
processed_date: 2026-03-18
extraction_model: "anthropic/claude-sonnet-4.5"
extraction_notes: "LLM returned 3 claims, 3 rejected by validator"
---
## Content
@ -63,3 +67,10 @@ Cross-domain analysis of how AI degrades human performance in critical settings:
## Curator Notes
PRIMARY CONNECTION: human-in-the-loop clinical AI degrades to worse-than-AI-alone because physicians both de-skill from reliance and introduce errors when overriding correct outputs
WHY ARCHIVED: Extends our existing clinical AI degradation claim with cross-domain evidence (nursing, aviation, nuclear) and quantifies the asymmetric risk profile. The cognitive restructuring mechanism is a novel finding.
## Key Facts
- 450 nursing students and licensed nurses participated in ICU case review study with four AI configurations
- AI weather monitoring in aviation missed microbursts during landing, doubling crew workload and halving preparation time
- Nuclear energy AI warning systems misclassified gradual coolant pressure drops as benign, leading to cascading subsystem failures
- Study tested four AI configurations: no assistance, predictions only, predictions plus annotations, and full AI support