According to the 2024 AI Index Report1, hundreds of machine learning papers were published in 2022 every day. That's a lot of content to keep up with. At most, if you were one of those people who read papers, you could skim through a subset of the papers published every day and pick a few to review more deeply. Being selective is key.
In an era of information overload, it can be challenging to stay up-to-date and decide what to pay attention to.
FOMO invites us to pay attention to the hype, but that's a trap to constantly stay in shallow waters, never diving deep into any areas.
There's always someone, somewhere, willing to put time and effort into exploring the adjacent possible in a specific field or topic.
That could be you.
Pick a topic.
Stick with it.
Don't look elsewhere.
Check the Artificial Intelligence Index Report 2024. The yearly number is seventy-two thousand machine learning papers, not even including related topics like pattern recognition or computer vision. ↩
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