I think you overestimate the technical part. Just speculating (no inside, no expert), but I would assume that the models are pretty "easy" and can be coded in few days. There are for sure some tweaks to the standard transformer architecture, but guess the tweaks are well known to sam and co.

The dataset is more challenging, but here msft can help - since they have bing and github as well. So they might be able to make few shortcuts here.

The most time consuming part is compute, but here again msft has the compute.

Will they beat chat-gpt 4 in a year? Guess no. But they will come very close to it and maybe it would not matter that much if you focus on the product.