Overview

• Large Language Models like GPT-4 and Google Bard show varying performance on reasoning tests.
• AIs often made simple errors, including basic math mistakes and misidentifying vowels.
• Providing extra context did not lead to consistent improvement in AI responses.
• Some models refused to answer certain tasks due to ethical safeguards.
• The study raises questions about the reliability of AI in decision-making roles.