Kevin Lieber of Vsauce2 explores why high intelligence can fail during basic logical reasoning tasks.

Have you ever been impressed by how AI models like ChatGPT or GPT-4 seem to “understand” complex problems and provide logical answers? It’s easy to assume these systems are capable of genuine ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. A team ...

Critical thinking is a fundamental cognitive process that enables individuals to objectively analyze, evaluate and interpret information to make informed decisions and solve complex problems. It ...

Foundational models address a fundamental flaw in bespoke AI. But foundational and large language models have limitations. GPT-3, BERT, and DALL·E 2 garnered gushing headlines, but models like these ...

Google LLC today announced a significant update to its generative artificial intelligence chatbot Bard that should make it better at both logic and reasoning. In a blog post, Google Bard Product Lead ...

Using two newly developed types of reasoning tests, a team of researchers at UCL and UCLH has identified key brain regions that are essential for logical thinking and problem-solving. The results will ...

Logical fallacies are mistakes in arguments. For example, if someone says that something is better solely because it is more "natural," this is the appeal to nature fallacy. If someone presents two ...

The alternative text for this image may have been generated using AI. According to weekly surveys that students completed when submitting their problem sets, students spent 5.52 h/week (SD = 1.32) ...