So many models coming out these days, so many developments happening in the AI space in general, it's kinda hard to keep up with it all. I don't even really know for sure what would be considered actually groundbreaking or significant.
Unless you are really working on the bleeding edge (or trying to make money by predicting the hype machine) you probably need to know about one or two developments every 6 months. The summary of 60 papers in that time might not be what everyone needs.
To be clear, I didn't downvote here and I have no issue with you promoting a blog!
But LLMs are still fundamentally a stochastic parrot that depends heavily on source data to produce useful results. So we will go through a lull until there is some new groundbreaking research which moves everything forward. And then the cycle repeats.
Trying to drink from the firehose of ML research is only valuable for extremely active research participants. Can be fun though :)