It has become common knowledge that GPT4 (and also 3.5) have problems with deterministic outputs (even at T=0). So what we're seeing here is just the effect of random sampling, not any actual change to the model itself. If you scroll down, you'll see other close attempts by the exact same model that could already be counted as a win depending on who you ask.
Edit: This comment section is a super fascinating case study on the inherent flaws in human cognition. Especially when it comes to seeing patterns in random noise. The fact that some people believe that the model really has to have changed in the past few days is amazing, because if you've kept up with the GPT architecture and the way OpenAI does things (especially on the API), it is incredibly obvious that nothing has happened. But people who want to believe that something has happened will definitely also start to see something.
Edit: This comment section is a super fascinating case study on the inherent flaws in human cognition. Especially when it comes to seeing patterns in random noise. The fact that some people believe that the model really has to have changed in the past few days is amazing, because if you've kept up with the GPT architecture and the way OpenAI does things (especially on the API), it is incredibly obvious that nothing has happened. But people who want to believe that something has happened will definitely also start to see something.