Hacker News with Generative AI: Fairness

DeepSeek's Hidden Bias: How We Cut It by 76% Without Performance Loss (hirundo.io)
Bias in large language models (LLMs) is a growing concern, particularly in sensitive customer-facing industries where fairness and compliance are critical.
Quiet Quitting: Why Employees Are Demanding Fairness and Boundaries (forbes.com)
The response to my recent article on why soft quitting at work could be more dangerous than quiet quitting has been overwhelming. Readers passionately shared their thoughts, frustrations, and personal experiences, sparking a crucial conversation about what quiet quitting really means for employees and organizations. Many agreed that the term misrepresents what is often a rational response to systemic issues in the workplace.
Apple App Store Review (ycombinator.com)
Been on the App Store 10+ years and without going into details I believe my app has been unfairly targeted for things other apps are allowed to do.
Fair: Allocating Resources Fairly at Scale (medium.com)
I recently published a Go library called FAIR, designed to maintain fair resource distribution using a randomized algorithm called stochastic fair BLUE with constant memory requirements.
Fair: A Go library for serving resources fairly (github.com/satmihir)
FAIR is a Go library designed to ensure fairness in the resource-constrained environments. It helps distribute the limited resources (e.g., database/blob storage throughput, job execution resources etc.) evenly across multiple clients during the time of shortage, preventing over-allocation and starvation based on client behavior.