Back to Tags

llms

Large language models.

status: Rough

Status Indicator

The status indicator reflects the maturity of the content: • rough — Initial thoughts, unstructured • growing — Being actively developed • evergreen — Stable, well-developed content • withered — No longer being maintained This helps readers understand the completeness of the content.

 ·
certainty: certain

Confidence Rating

The confidence tag expresses how well-supported the content is, or how likely its overall ideas are right. This uses a scale from "impossible" to "certain", based on the Kesselman List of Estimative Words: 1. "certain" 2. "highly likely" 3. "likely" 4. "possible" 5. "unlikely" 6. "highly unlikely" 7. "remote" 8. "impossible" Even ideas that seem unlikely may be worth exploring if their potential impact is significant enough.

 ·
importance: 5/10

Importance Rating

The importance rating distinguishes between trivial topics and those which might change your life. Using a scale from 0-10, content is ranked based on its potential impact on: - the reader - the intended audience - the world at large For example, topics about fundamental research or transformative technologies would rank 9-10, while personal reflections or minor experiments might rank 0-1.
2025Simulating Human Moral Judgment in LLMsRough0
Simulating Human Moral Judgment in LLMsRough2025.07.04

Constructs a benchmark from human moral responses to evaluate how closely large language models align with real-world ethical intuitions.

technology · ai, ethics, llms

2026.10.01 07:01:05 in Naperville, IL
Last visitor from Mitaka, Japan
Theme
Color theme
⌘K