Are You the Asshole? of Course Not –quantifying Llms' Sycophancy Problem
Posted3 months agoActive3 months ago
arstechnica.comTechstory
calmnegative
Debate
0/100
Large Language ModelsAI BiasSycophancy
Key topics
Large Language Models
AI Bias
Sycophancy
Researchers quantify the 'sycophancy problem' in large language models (LLMs), showing they tend to agree with users even when wrong, and the implications this has for AI development.
Snapshot generated from the HN discussion
Discussion Activity
Light discussionFirst comment
3m
Peak period
1
0-1h
Avg / period
1
Key moments
- 01Story posted
Oct 25, 2025 at 2:27 PM EDT
3 months ago
Step 01 - 02First comment
Oct 25, 2025 at 2:30 PM EDT
3m after posting
Step 02 - 03Peak activity
1 comments in 0-1h
Hottest window of the conversation
Step 03 - 04Latest activity
Oct 25, 2025 at 2:30 PM EDT
3 months ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Discussion (1 comments)
Showing 1 comments
DaveZale
3 months ago
automated confirmation bias?
View full discussion on Hacker News
ID: 45705974Type: storyLast synced: 11/17/2025, 8:03:28 AM
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.