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Engineering

Agent learning without reward signals

Published on October 10, 2025, the post describes using future states from an agent’s own interactions as supervision, without reward signals, and examines two strategies: implicit world modeling and self-reflection.

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Engineering

AHN proposes continuous memory for LLMs

A publication dated October 9, 2025, reports that ByteDance introduced Artificial Hippocampus Networks (AHN), an architecture for long-context LLMs that continuously compresses information outside the context window.

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Engineering

MoE-CL for continual instruction tuning

A paper published on October 6, 2025 proposes the MoE-CL framework for continual instruction tuning and reports evaluations on the MTL5 and Tencent3 benchmarks, plus an A/B test on Tencent. The available summary gives no quantitative results.

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