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Large Language Models

language-modelscapabilityPath: /knowledge-base/capabilities/language-models/
E186Entity ID (EID)
← Back to page52 backlinksQuality: 60Updated: 2026-03-16
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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  "summary": "Comprehensive analysis of LLM capabilities showing rapid progress from GPT-2 (1.5B parameters, 2019) to GPT-5 and Gemini 2.5 (2025), with training costs growing 2.4x annually and projected to exceed \\$1B by 2027. Documents emergence of inference-time scaling paradigm, mechanistic interpretability advances including Gemma Scope 2, multilingual alignment research, factuality benchmarking via FACTS suite, key technical breakthroughs in vision-language learning (CLIP), text-to-image generation (DALL-E), embeddings as a distinct capability class, and identifies key safety concerns including 8-45% hallucination rates, persuasion capabilities, and growing autonomous agent capabilities. Also covers MoE architecture optimization, continual learning challenges, knowledge editing, bias and fairness evaluation across gender and political dimensions, layer-wise mechanistic interpretability distinguishing recall from reasoning, and multimodal continual learning.",
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      "text": "Weak-to-Strong Generalization",
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External Links
{
  "wikipedia": "https://en.wikipedia.org/wiki/Large_language_model",
  "lesswrong": "https://www.lesswrong.com/tag/language-models-llms",
  "eaForum": "https://forum.effectivealtruism.org/topics/large-language-models",
  "grokipedia": "https://grokipedia.com/page/Large_language_model"
}
Backlinks (52)
idtitletyperelationship
persuasionPersuasion and Social Manipulationcapability—
reasoningReasoning and Planningcapability—
__index__/knowledge-base/capabilitiesAI Capabilitiesconcept—
large-language-modelsLarge Language Modelsconcept—
scientific-researchScientific Research Capabilitiescapability—
situational-awarenessSituational Awarenesscapability—
agi-timelineAGI Timelineconcept—
minimal-scaffoldingMinimal Scaffoldingcapability—
neuromorphicNeuromorphic Hardwarecapability—
world-modelsWorld Models + Planningcapability—
bioweapons-ai-upliftAI Uplift Assessment Modelanalysis—
cyberweapons-attack-automationAutonomous Cyber Attack Timelineanalysis—
deceptive-alignment-decompositionDeceptive Alignment Decomposition Modelanalysis—
instrumental-convergence-frameworkInstrumental Convergence Frameworkanalysis—
power-seeking-conditionsPower-Seeking Emergence Conditions Modelanalysis—
anthropicAnthropicorganization—
bridgewater-aia-labsBridgewater AIA Labsorganization—
conjectureConjectureorganization—
elicitElicit (AI Research Tool)organization—
lightning-rod-labsLightning Rod Labsorganization—
redwood-researchRedwood Researchorganization—
ssiSafe Superintelligence Inc. (SSI)organization—
evan-hubingerEvan Hubingerperson—
geoffrey-hintonGeoffrey Hintonperson—
paul-christianoPaul Christianoperson—
philip-tetlockPhilip Tetlockperson—
robin-hansonRobin Hansonperson—
yann-lecunYann LeCunperson—
ai-forecastingAI-Augmented Forecastingapproach—
alignmentAI Alignmentapproach—
bletchley-declarationBletchley Declarationpolicy—
cirlCooperative IRL (CIRL)approach—
coordination-techAI Governance Coordination Technologiesapproach—
deliberationAI-Assisted Deliberation Platformsapproach—
eu-ai-actEU AI Actpolicy—
research-agendasAI Alignment Research Agenda Comparisoncrux—
reward-modelingReward Modelingapproach—
rlhfRLHF / Constitutional AIresearch-area—
roastmypostRoastMyPostproject—
squiggleaiSquiggleAIproject—
standards-bodiesAI Standards Bodiesconcept—
texas-traigaTexas TRAIGA Responsible AI Governance Actpolicy—
wikipedia-viewsWikipedia Viewsproject—
ai-welfareAI Welfare and Digital Mindsconcept—
bioweaponsBioweaponsrisk—
emergent-capabilitiesEmergent Capabilitiesrisk—
fraudAI-Powered Fraudrisk—
historical-revisionismHistorical Revisionismrisk—
mesa-optimizationMesa-Optimizationrisk—
reward-hackingReward Hackingrisk—
sleeper-agentsSleeper Agents: Training Deceptive LLMsrisk—
trust-cascadeAI Trust Cascade Failurerisk—