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Scalable Oversight

scalable-oversightresearch-areaPath: /knowledge-base/responses/scalable-oversight/
E271Entity ID (EID)
← Back to page61 backlinksQuality: 68Updated: 2025-12-28
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "summary": "Process supervision achieves 78.2% accuracy on MATH benchmarks (vs 72.4% outcome-based) and is deployed in OpenAI's o1 models, while debate shows 60-80% accuracy on factual questions with +4% improvement from self-play training. However, effectiveness against sophisticated deception remains unproven, with debate accuracy dropping to 50-65% on complex reasoning tasks.",
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External Links
{
  "lesswrong": "https://www.lesswrong.com/tag/scalable-oversight",
  "stampy": "https://aisafety.info/questions/8IHH/What-is-scalable-oversight",
  "alignmentForum": "https://www.alignmentforum.org/tag/scalable-oversight"
}
Backlinks (61)
idtitletyperelationship
capability-alignment-raceCapability-Alignment Race Modelanalysis—
technical-pathwaysAI Safety Technical Pathway Decompositionanalysis—
reward-hacking-taxonomyReward Hacking Taxonomy and Severity Modelanalysismitigation
jan-leikeJan Leikeperson—
anthropic-core-viewsAnthropic Core Viewssafety-agenda—
process-supervisionProcess Supervisionapproach—
eliciting-latent-knowledgeEliciting Latent Knowledge (ELK)approach—
debateAI Safety via Debateapproach—
multi-agentMulti-Agent Safetyapproach—
deceptive-alignmentDeceptive Alignmentrisk—
reward-hackingReward Hackingrisk—
sycophancySycophancyrisk—
agentic-aiAgentic AIcapability—
language-modelsLarge Language Modelscapability—
scientific-researchScientific Research Capabilitiescapability—
accident-risksAI Accident Risk Cruxescrux—
solutionsAI Safety Solution Cruxescrux—
is-ai-xrisk-realIs AI Existential Risk Real?crux—
why-alignment-easyWhy Alignment Might Be Easyargument—
why-alignment-hardWhy Alignment Might Be Hardargument—
deep-learning-eraDeep Learning Revolution (2012-2020)historical—
miri-eraThe MIRI Era (2000-2015)historical—
ai-timelinesAI Timelinesconcept—
alignment-robustness-trajectoryAlignment Robustness Trajectoryanalysis—
intervention-effectiveness-matrixIntervention Effectiveness Matrixanalysis—
model-organisms-of-misalignmentModel Organisms of Misalignmentanalysis—
pre-tai-capital-deploymentPre-TAI Capital Deployment: $100B-$300B+ Spending Analysisanalysis—
safety-spending-at-scaleSafety Spending at Scaleanalysis—
short-timeline-policy-implicationsShort Timeline Policy Implicationsanalysis—
anthropicAnthropicorganization—
arcAlignment Research Center (ARC)organization—
deepmindGoogle DeepMindorganization—
elicitElicit (AI Research Tool)organization—
foresight-instituteForesight Instituteorganization—
lionheart-venturesLionheart Venturesorganization—
matsMATS ML Alignment Theory Scholars programorganization—
metrMETRorganization—
openaiOpenAIorganization—
pause-aiPause AIorganization—
chris-olahChris Olahperson—
connor-leahyConnor Leahyperson—
dario-amodeiDario Amodeiperson—
neel-nandaNeel Nandaperson—
paul-christianoPaul Christianoperson—
agent-foundationsAgent Foundationsapproach—
ai-controlAI Controlresearch-area—
alignment-theoretical-overviewTheoretical Foundations (Overview)concept—
alignmentAI Alignmentapproach—
interpretabilityMechanistic Interpretabilityresearch-area—
intervention-portfolioAI Safety Intervention Portfolioapproach—
preference-optimizationPreference Optimization Methodsapproach—
research-agendasAI Alignment Research Agenda Comparisoncrux—
rlhfRLHF / Constitutional AIresearch-area—
scalable-eval-approachesScalable Eval Approachesapproach—
scheming-detectionScheming & Deception Detectionapproach—
sleeper-agent-detectionSleeper Agent Detectionapproach—
training-programsAI Safety Training Programsapproach—
weak-to-strongWeak-to-Strong Generalizationapproach—
automation-biasAutomation Bias (AI Systems)risk—
existential-riskExistential Risk from AIconcept—
expertise-atrophyAI-Induced Expertise Atrophyrisk—