The thing that might replace won't be Devin, if we are going to make a one-for-all solution, it just won't work.
If we are talking about a specific use case black box to automate the work, then it might be possible up to a certain limit.
because when we are talking about training Neural networks, we are looking for the best numbers. The so-called "emergent abilities" which say that increasing model size makes it smart can be true but what's the probability of getting most of the parameters to their correct values? There are billions of them.
If we are talking about a specific use case black box to automate the work, then it might be possible up to a certain limit.
because when we are talking about training Neural networks, we are looking for the best numbers. The so-called "emergent abilities" which say that increasing model size makes it smart can be true but what's the probability of getting most of the parameters to their correct values? There are billions of them.
(Total)Replacement? I highly doubt that.