OpenAI's GPT-4 has reportedly scored high on professional licensing exams, raising questions about its impact on professionals like lawyers.
However, concerns arise about the model's training data contamination and the validity of using human-designed tests to evaluate bots.
Training data contamination: The issue where AI models may memorize solutions from their training set, possibly affecting their test results
Codeforces: A website hosting coding competitions, used by OpenAI to evaluate GPT-4's coding abilities
Construct validity: The degree to which a test measures what it claims to measure, which is questioned when applying human-designed tests to AI models
Real-world tasks: The actual tasks professionals perform in their jobs, which should be the focus of AI evaluation instead of standardized tests