Consensus in the machine learning community is that current architectures are enough for AGI, no new architecture needed. There is plenty of leeway as well into how much money we can pour into training and if the linear scaling law for model capabilities still holds — and we have no reason to believe yet that they won't we have the resources (both financial and technological) to reach this within 10-20 years tops.