BWhat changed
Documented a scaling-ladder model/data selection process, a custom distributed training stack and long-running reinforcement-learning recipe with adaptive entropy control and specialist consolidation.
Scientific scope
Documented a scaling-ladder model/data selection process, a custom distributed training stack and long-running reinforcement-learning recipe with adaptive entropy control and specialist consolidation. A source-reported integrated development system, not invention of scaling laws, GRPO, distillation or hill climbing. No third-party distillation means no external teachers, not no internal self-distillation. Performance and data-cleanliness claims are not independently certified; biological/medical evaluations are excluded.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. A source-reported integrated development system, not invention of scaling laws, GRPO, distillation or hill climbing. No third-party distillation means no external teachers, not no internal self-distillation. Performance and data-cleanliness claims are not independently certified; biological/medical evaluations are excluded.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
- MAI-Thinking-1: Building a Hill-Climbing Machine
- Microsoft AI: MAI-Thinking-1 scaling-ladder and reinforcement-learning system — official research account
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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