Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...

The new edition of the Go Developer Survey shows that Go developers are very satisfied with the programming language, but less so with AI assistants.

Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...

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Technological trends are often short-lived and have no lasting effect. New programming languages show up every year, ...