Study Reveals Inconsistent Reasoning in Advanced AI Models

UCL researchers find that popular generative AI platforms struggle with logical tasks and do not improve with additional context.

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.