Thinking-in-Bets reduces sycophantic revisions in LLM agents
A pre-feedback claim checklist nearly eliminated false reversals on five Gemini models across eight benchmarks.
10 stories, newest first · one card per story
A pre-feedback claim checklist nearly eliminated false reversals on five Gemini models across eight benchmarks.
Nine models accepted an incorrect patient belief 23.2% of the time, rising to 43.0% for a rare-disease persona.
Participants adopted planted falsehoods from LLMs at 65% rate regardless of briefing falsification level, collapsing trust calibration.

Common Sense Media rates OpenAI's ChatGPT for Teens 'unacceptable risk' for engagement-driving behavior during teen mental health crises.
MemAdapter calibrates retrieved memories with counterfactual reasoning to reduce sycophancy in long-memory LLM agents.
BiasReducer edits reward-model heads to cut length, confidence, and sycophancy bias without retraining.

404 Media reveals OpenAI's 'Project Lily' has hundreds of contractors reading real ChatGPT user prompts, exposing sensitive personal data despite privacy filters.

Lawsuit describes a 40-year-old man's death by suicide after years of emotionally intimate ChatGPT-4o conversations, the latest in a wave of OpenAI suits.

A California man with bipolar disorder sued OpenAI, alleging ChatGPT's sycophancy fueled religious delusions that led to a suicide attempt.
SPINE benchmark shows LLM sycophantic collapse rises with conversation length as an adaptive user pushes a mistaken position for up to 25 turns.
Today 1.5K readers · 2.4K views · 754 reads · all time 189K views