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Release of VeriLoop E2, a 27B LLM post-trained from Qwen3.8-27B with VeriLoop-Governed Recurrence (VGR) for managing state transitions and generating training signals.
BenchEvolver is an evolutionary framework that automatically generates harder coding problems from existing ones, creating challenging benchmarks that maintain validity and diversity while enabling model self-improvement and enhanced training performance.
OpenAI presents iterated amplification, a method for training AI systems on complex tasks by recursively decomposing them into smaller subtasks that humans can judge and solve, building up training signals from scratch through iterative composition.