Experiment reveals LLMs fabricate schema markup data rather than genuinely parsing it

The Problem with Structured Outputs in LLMs: How Constrained Decoding Creates False Confidence

This article critiques the use of structured outputs and constrained decoding in large language models (LLMs), arguing that while these tech

Hacker News Discussion: Addressing Blind Trust in Large Language Models

This Hacker News discussion thread explores the challenge of dealing with people who blindly trust Large Language Models (LLMs) as sources o

The Ethical Dilemma of LLM Training Data and Content Creator Rights

The article discusses the ethical issue of Large Language Models (LLMs) being trained on web content without authors' consent. It criticizes

The Science of Detecting LLM-Generated Text

Large Language Models Enable Effective Deanonymization of Pseudonymous Online Users

Researchers demonstrate that large language models can effectively perform large-scale deanonymization attacks, re-identifying pseudonymous

Show HN: Pseudonymizing sensitive data for LLMs without losing context