GPT-4o tagged posts

New study identifies differences between human and AI-generated text

robot typing
Credit: Pixabay/CC0 Public Domain

A team of Carnegie Mellon University researchers set out to see how accurately large language models (LLMs) can match the style of text written by humans. Their findings were recently published in the Proceedings of the National Academy of Sciences.

“We humans, we adapt how we write and how we speak to the situation. Sometimes we’re formal or informal, or there are different styles for different contexts,” said Alex Reinhart, lead author and associate teaching professor in the Department of Statistics & Data Science.

“What we learned is that LLMs, like ChatGPT and Llama, write a certain way, and they don’t necessarily adapt to the writing style...

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AI Study reveals Dramatic Reasoning Breakdown in Large Language Models

AI study reveals dramatic reasoning breakdown in LLMs
Strong fluctuations across AIW problem variations. Also for higher performers, eg GPT-4o, GPT-4 and Claude Opus 3, correct response rates vary strongly from close to 1 to close to 0, despite only slight changes introduced in AIW variations (a color per each variation 1–4). This clearly shows lack of model robustness, hinting basic reasoning deficits. Credit: arXiv (2024). DOI: 10.48550/arxiv.2406.02061

Even the best AI large language models (LLMs) fail dramatically when it comes to simple logical questions. This is the conclusion of researchers from the Jülich Supercomputing Center (JSC), the School of Electrical and Electronic Engineering at the University of Bristol and the LAION AI laboratory.

In their paper posted to the arXiv preprint server, titled “Alice in Wonderland: S...

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