A technical test shows that modern AI systems can solve common CAPTCHAs, but with varying success rates due to factors like latency and reasoning speed.
Kolmogorov-Arnold Attention, or KArAt, is a new type of attention mechanism for Vision Transformers using learnable activation functions, outperforming traditional softmax attention in some cases.
A team of AI researchers gave six language models a task to design a human study, and the result was an unexpected survey question about the last digit of your birth year.
Automated evaluation tools like Scorable can generate custom test suites and metrics from a simple description, making it easier to ensure AI systems work as intended without manual setup.
When AI models read information that contradicts their own knowledge, they often ignore it. This counter-intuitive behavior reveals a fundamental aspect of how these systems work.