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Compute Monitoring

monitoringapproachPath: /knowledge-base/responses/monitoring/
E464Entity ID (EID)
← Back to page12 backlinksQuality: 69Updated: 2025-12-28
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "title": "Compute Monitoring",
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  "summary": "Analyzes two compute monitoring approaches: cloud KYC (implementable in 1-2 years, covers ~60% of frontier training via AWS/Azure/Google) and hardware governance (3-5 year timeline). Cloud KYC targets 10^26 FLOP threshold (~\\$10-100M training cost), but on-premise compute and jurisdictional arbitrage enable evasion; hardware-level monitoring could address this but faces substantial technical challenges.",
  "description": "This framework analyzes compute monitoring approaches for AI governance, finding that cloud KYC (targeting 10^26 FLOP threshold) is implementable now via the three major providers controlling 60%+.",
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        "title": "International Compute Regimes",
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        "title": "Authoritarian Tools Diffusion Model",
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        "title": "Compute Thresholds",
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External Links
{
  "lesswrong": "https://www.lesswrong.com/tag/compute-governance"
}
Backlinks (12)
idtitletyperelationship
hardware-enabled-governanceHardware-Enabled Governanceapproach—
hardware-mechanisms-international-ai-agreementsHardware Mechanisms for International AI Agreementsanalysis—
thresholdsCompute Thresholdsconcept—
international-regimesInternational Compute Regimesconcept—
misuse-risksAI Misuse Risk Cruxescrux—
ai-compute-scaling-metricsAI Compute Scaling Metricsanalysis—
bioweapons-attack-chainBioweapons Attack Chain Modelanalysis—
short-timeline-policy-implicationsShort Timeline Policy Implicationsanalysis—
holden-karnofskyHolden Karnofskyperson—
coordination-techAI Governance Coordination Technologiesapproach—
export-controlsAI Chip Export Controlspolicy—
governance-overviewAI Governance & Policy (Overview)concept—