Comment by dguest
1 month ago
I did scoff a bit when the response to "it's hard to keep up with what's actually important in AI" with "just read this summary of the 10 most relevant papers every week".
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!
6 months is way too infrequent. If last time you checked the state of AI was 6 months ago, you'd miss - among other things - NotebookLM's podcast generator, the rise of "reasoning models", Deepseek-R1 debacle, Claude 3.7 Sonnet and "deep research" - all of which are broadly useful to end-users.
You could have missed everyone of those and not noticed a single difference.
Eh, fair enough