{"id":"synthetic-intelligence-atlas-context-pack","title":"Synthetic Intelligence Atlas context pack","canonicalUrl":"https://research.mahastrategies.com/atlas/synthetic-intelligence/context-pack","release":{"version":"1.1.0","published":"2026-07-27","updated":"2026-07-28","reviewed":"2026-07-28","evidenceCutoff":"2026-06-14","license":"https://creativecommons.org/licenses/by/4.0/"},"scope":"LLM mechanisms and scaling, post-training and inference-time reasoning, tool use and agents, benchmarks, construct validity, evaluation, and the limits of forecasting.","inclusions":"Established and active-research claims with content-verified public sources.","exclusions":["Forecast scenarios","Local methodological artifacts","Headline benchmark leaderboards","Price trajectories","Quantum computing","Unreviewed capability forecasts"],"counts":{"claims":22,"concepts":18,"sources":33},"endpoints":{"manifest":"https://research.mahastrategies.com/atlas/synthetic-intelligence/metadata.json","claims":"https://research.mahastrategies.com/atlas/synthetic-intelligence/claims.json","sources":"https://research.mahastrategies.com/atlas/synthetic-intelligence/sources.json","context":"https://research.mahastrategies.com/atlas/synthetic-intelligence/context.txt","contextPack":"https://research.mahastrategies.com/atlas/synthetic-intelligence/context-pack.json"}}