
Smarter AI Models Still Lack Context
New AI models consistently achieve higher benchmark scores, yet they often fail in real-world applications by hallucinating or mishandling queries. This gap highlights that raw intelligence isn't enough; models require specific, real-time context to perform reliably and reason effectively in production environments.
