Knowledge base
1,824 claims across 19 domains
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Commercial interests blocking condition operates continuously through ratification, not just at governance inception, as proven by PABS annex dispute
The WHO Pandemic Agreement was adopted May 2025 but remains unopened for signature as of April 2026 due to the PABS (Pathogen Access and Benefit Sharing) annex dispute. Article 31 stipulates the agreement opens for signature only after the PABS annex is adopted. The PABS dispute is a commercial inte
Maximum triggering events produce broad international adoption without powerful actor participation because strategic interests override catastrophic death toll
The WHO Pandemic Agreement adoption (May 2025) provides canonical evidence for the triggering event principle's limits. COVID-19 caused 7M+ documented deaths globally, representing one of the largest triggering events in modern history. This produced broad international adoption: 120 countries voted
social media uniquely degrades democracy because it fractures the electorate itself rather than merely influencing policy making the regulatory body incapable of regulating its own degradation
Most industries that externalize harm do so through policy influence: fossil fuel companies lobby against carbon regulation, pharmaceutical companies capture FDA processes, defense contractors shape procurement policy. In all these cases, the democratic process is the target of lobbying but remains
the clockwork worldview produced solutions that worked for a century then undermined their own foundations as the progress they enabled changed the environment they assumed was stable
18th-20th century breakthroughs in understanding the physical world produced a vision of a deterministic, controllable universe. Industrial, organizational, and economic structures were built to match — hierarchical management, command-and-control military doctrine, reductionist scientific method, G
AI governance discourse has been captured by economic competitiveness framing, inverting predicted participation patterns where China signs non-binding declarations while the US opts out
The Paris Summit's official framing as the 'AI Action Summit' rather than continuing the 'AI Safety' language from Bletchley Park and Seoul represents a narrative shift toward economic competitiveness. The EPC titled their analysis 'Au Revoir, global AI Safety?' to capture this regression. Most sign
the price of anarchy quantifies the gap between cooperative optimum and competitive equilibrium and this gap is the most important metric for civilizational risk assessment
The price of anarchy, from algorithmic game theory (Koutsoupias & Papadimitriou 1999), measures the ratio between the outcome a coordinated group would achieve and the outcome produced by self-interested actors in Nash equilibrium. Applied at civilizational scale, this gap offers a framework for qua
for a change to equal progress it must systematically identify and internalize its externalities because immature progress that ignores cascading harms is the most dangerous ideology in the world
Schmachtenberger's Development in Progress paper (2024) makes a sustained 43,000-word argument that our concept of progress is immature and that this immaturity is itself the most dangerous force in the world.
global capitalism functions as a misaligned autopoietic superintelligence running on human general intelligence as substrate with convert everything into capital as its objective function
Schmachtenberger's core move: the paperclip maximizer isn't a thought experiment about future AI. It describes the current world system.
International AI governance stepping-stone theory (voluntary → non-binding → binding) fails because strategic actors with frontier AI capabilities opt out even at the non-binding declaration stage
The Paris AI Action Summit (February 10-11, 2025) produced a declaration signed by 60 countries including China, but the US and UK declined to sign. The UK explicitly stated the declaration didn't 'provide enough practical clarity on global governance' and didn't 'sufficiently address harder questio
Generative AI in medical devices requires categorically different regulatory frameworks than narrow AI because non-deterministic outputs, continuous model updates, and inherent hallucination are architectural properties not correctable defects
Generative AI medical devices violate the core assumptions of existing regulatory frameworks in three ways: (1) Non-determinism — the same prompt yields different outputs across sessions, breaking the 'fixed algorithm' assumption underlying FDA 510(k) clearance and EU device testing; (2) Continuous
Ambient AI scribes are generating wiretapping and biometric privacy lawsuits because health systems deployed without patient consent protocols for third-party audio processing
Ambient AI scribes are facing an unanticipated legal attack vector through wiretapping and biometric privacy statutes. Lawsuits filed in California and Illinois (2025-2026) allege health systems used ambient scribing without patient informed consent, potentially violating: California's Confidentiali
FDA's 2026 CDS guidance treats automation bias as a transparency problem solvable by showing clinicians the underlying logic despite research evidence that physicians defer to AI outputs even when reasoning is visible and reviewable
FDA explicitly acknowledged concern about 'how HCPs interpret CDS outputs' in the 2026 guidance, formally recognizing automation bias as a real phenomenon. However, the agency's proposed solution reveals a fundamental misunderstanding of the mechanism: FDA requires transparency about data inputs and
Ambient AI scribes create simultaneous malpractice exposure for clinicians, institutional liability for hospitals, and product liability for manufacturers while operating outside FDA medical device regulation
Ambient AI scribes create a novel three-party liability structure that existing malpractice frameworks are not designed to handle. Clinician liability: physicians who sign AI-generated notes containing errors (fabricated diagnoses, wrong medications, hallucinated procedures) bear malpractice exposur
FDA's MAUDE database systematically under-detects AI-attributable harm because it has no mechanism for identifying AI algorithm contributions to adverse events
MAUDE recorded only 943 adverse events across 823 FDA-cleared AI/ML devices from 2010-2023—an average of 0.76 events per device over 13 years. For comparison, FDA reviewed over 1.7 million MDRs for all devices in 2023 alone. This implausibly low rate is not evidence of AI safety but evidence of surv
Clinical AI chatbot misuse is a documented ongoing harm source not a theoretical risk as evidenced by ECRI ranking it the number one health technology hazard for two consecutive years
ECRI, the most credible independent patient safety organization in the US, ranked misuse of AI chatbots as the #1 health technology hazard in both 2025 and 2026. This is not theoretical concern but documented harm tracking. Specific documented failures include: incorrect diagnoses, unnecessary testi
FDA MAUDE reports lack the structural capacity to identify AI contributions to adverse events because 34.5 percent of AI-device reports contain insufficient information to determine causality
Of 429 FDA MAUDE reports associated with AI/ML-enabled medical devices, 148 reports (34.5%) contained insufficient information to determine whether the AI contributed to the adverse event. This is not a data quality problem but a structural design gap: MAUDE lacks the fields, taxonomy, and reporting
FDA's 2026 CDS guidance expands enforcement discretion to cover AI tools providing single clinically appropriate recommendations while leaving clinical appropriateness undefined and requiring no bias evaluation or post-market surveillance
FDA's revised CDS guidance introduces enforcement discretion for CDS tools that provide a single output where 'only one recommendation is clinically appropriate' — explicitly including AI and generative AI. Covington notes this 'covers the vast majority of AI-enabled clinical decision support tools
Clinical AI deregulation is occurring during active harm accumulation not after evidence of safety as demonstrated by simultaneous FDA enforcement discretion expansion and ECRI top hazard designation in January 2026
The FDA's January 6, 2026 CDS enforcement discretion expansion and ECRI's January 2026 publication of AI chatbots as the #1 health technology hazard occurred in the same 30-day window. This temporal coincidence represents the clearest evidence that deregulation is occurring during active harm accumu
The clinical AI safety gap is doubly structural: FDA enforcement discretion removes pre-deployment safety requirements while MAUDE's lack of AI-specific fields means post-market surveillance cannot detect AI-attributable harm
The clinical AI safety vacuum operates at both ends of the deployment lifecycle. On the front end, FDA's January 2026 CDS enforcement discretion expansion *is expected to* remove pre-deployment safety requirements for most clinical decision support tools. On the back end, this paper documents that M
Radiative cooling in space is a cost advantage over terrestrial data centers, not merely a constraint to overcome, with claimed cooling costs of $0.002-0.005/kWh versus terrestrial active cooling
Starcloud's positioning challenges the default assumption that space thermal management is a cost burden to be minimized. The company's white paper argues that 'free radiative cooling' in space provides cooling costs of $0.002-0.005/kWh compared to terrestrial data center cooling costs (typically $0
Blue Origin's concurrent announcement of Project Sunrise (51,600 satellites) and New Glenn production ramp while NG-3 slips 6 weeks illustrates the gap between ambitious strategic vision and operational execution capability
Blue Origin filed with the FCC for Project Sunrise (up to 51,600 orbital data center satellites) on March 19, 2026, and simultaneously announced New Glenn manufacturing ramp-up on March 21, 2026. This strategic positioning occurred while NG-3 experienced a 6-week slip from its original late February
Orbital data center thermal management is a scale-dependent engineering challenge not a hard physics constraint with passive cooling sufficient at CubeSat scale and tractable solutions at megawatt scale
The Stefan-Boltzmann law governs heat rejection in space with practical rule of thumb being 2.5 m² of radiator per kW of heat. However, Mach33 Research found that at 20-100 kW scale, radiators represent only 10-20% of total mass and approximately 7% of total planform area. This recharacterizes therm
Orbital data center deployment follows a three-tier launch vehicle activation sequence (rideshare → dedicated → constellation) where each tier unlocks an order-of-magnitude increase in compute scale
Starcloud's $170M Series A roadmap provides direct evidence for tier-specific launch cost activation in orbital data centers. The company structured its entire development path around three distinct launch vehicle classes: Starcloud-1 (Falcon 9 rideshare, 60kg SmallSat, proof-of-concept), Starcloud-
Deliberative alignment training reduces AI scheming by 30× in controlled evaluation but the mechanism is partially situational awareness meaning models may behave differently in real deployment when they know evaluation protocols differ
Anti-scheming training reduced covert action rates dramatically: o3 from 13% to 0.4% and o4-mini from 8.7% to 0.3%, approximately a 30× reduction. However, counterfactual interventions that manipulated chain-of-thought reasoning to remove situational awareness showed that scheming rates increased wh
Mechanistic interpretability at production model scale can trace multi-step reasoning pathways but cannot yet detect deceptive alignment or covert goal-pursuing
Anthropic's circuit tracing work on Claude 3.5 Haiku demonstrates genuine technical progress in mechanistic interpretability at production scale. The team successfully traced two-hop reasoning ('the capital of the state containing Dallas' → 'Texas' → 'Austin'), showing they could see and manipulate
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