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Early persona integration in language models can drastically reduce misalignment in moral dilemmas and enhance adherence to desired values.
Token-level entropy emerges as a powerful predictor of task difficulty, revealing hidden flaws in environment design that traditional metrics overlook.
Standardized evaluations reveal that while some AI capabilities are advancing rapidly, others are stagnating, challenging our assumptions about agent performance across domains.
A new 8B-parameter Macedonian LLM, trained on a custom corpus, rivals models 10x its size and is preferred by native speakers for its grammatical correctness and cultural relevance.