This AI Can Remember MILLIONS of Tokens (And Competes With GPT-5!)

QwenLong-L1.5 is a breakthrough large language model designed for long-context reasoning and memory management. Using a unified post-training recipe, it combines long-context data synthesis, stabilized reinforcement learning (including Adaptive Entropy-Controlled Policy Optimization), and a memory-augmented architecture that allows reasoning over 4+ million tokens.

This video explains how QwenLong-L1.5 works, why long-context reasoning was previously unstable, and how memory-driven agent design enables performance competitive with GPT-5 and Gemini-2.5-Pro — while generalizing to scientific reasoning and dialogue memory.

Link - https://huggingface.co/papers/2512.12967

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