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1.5M+ context window points to much longer context handling across documents, codebases, and persistent sessions. A new pre-training foundation suggests a deeper base-model reset rather than a small iterative checkpoint. Rumored 10T-scale training implies broader capability coverage and stronger knowledge compression. Substantial agentic gains point to better tool use, task planning, and multi-step execution. Stronger reasoning aimed above current top tiers implies better performance on difficult chained problem-solving tasks.