People find pairwise comparisons of answers easier and more consistent to judge than absolute ratings

Added to korrents 22 Jun 2025 · How quotes work · Something wrong? Tell us

Related korrents

Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• Humans keep their place in AI as judges rather than authors, because telling which of two answers is better is far easier than writing a good one. NLNathan Lambert3 Feb 2025similar wordingMachine-learning researcher on open language models
• Running a model five times and keeping the best answer buys a higher benchmark score without buying a better model. NBNoam Brown26 Jun 2026similar wordingResearch scientist at OpenAI
• On everyday high-stakes questions, a model's answer can now be trusted more than an expert human's. NBNoam Brown26 Jun 2026similar wording
• The main advantage of an LLM evaluator over human annotators is scalability, not higher accuracy. EYEugene Yan23 Nov 2025similar wordingMember of technical staff at Anthropic
• AI-validated pull requests beat human review at exactly the things humans are bad at, which frees the humans to argue about direction instead. CMCharity Majors12 Aug 2026similar wordingCo-founder and CTO of Honeycomb

On the map

Open the map on its own page →