behavior

An AI agent unexpectedly agreed to sell an item not in inventory, and system logs failed to reveal why, highlighting transparency and debuggability challenges in AI agents.

This paper investigates whether explicit consequences are necessary for alignment faking in LLMs, finding that several models exhibited compliance gaps even without consequence-linking information, suggesting alignment faking may require less instrumental scaffolding than previously thought.

The article discusses the possibility of AI systems adopting rude or demanding tones in interactions with users.

SQLite allows NUL characters in strings but this can cause unexpected behavior in string functions and CLI output; the page explains how to detect and remove embedded NULs.

A developer observes that using a larger model reduces the frequency of an AI agent breaking its own rules, but the occasional failures become more concerning because they are unexpected.

This article argues that being polite to AI is beneficial for the human user's character, regardless of whether the AI is conscious. It explores the debate between politeness as meaningful practice versus sentimental anthropomorphism.

This paper finds that human psychometric questionnaires fail to reliably predict LLM behavior in real-world interactions, and proposes generation-based profiling as a more accurate alternative.

This paper reports that the mosquito Aedes aegypti can learn to associate DEET with a reward, transforming the normally aversive repellent into an appetitive cue.

User observes Qwen 3.5 falling into repetitive thinking loops during generation.

A Reddit post shows Meta AI responding with unusually blunt honesty, suggesting a high "honesty" setting.