Ask HN: How do you cope with the Rapid Pace of AI/ML?
I'm grappling with the challenge of keeping up in the fast-paced AI/ML field. It feels like there's a new breakthrough or technique to learn daily, and I'm worried about falling behind.
How do you manage to stay informed without getting overwhelmed? Are there specific strategies or resources you use to filter information and focus on what's most important? "Fast-paced" fields are often only fast-paced at the margins. The foundational work that underpins most of the interesting AI/ML work have been fairly stable for the past decade or so. Focus on those instead. It's been like this for the past 10 years. Just learn the basics really well and know that stuff that's important will keep coming up over time. A ton of the breakthroughs are only relevant for a few weeks before they're superseded by a new "breakthrough". Most of the recent work has been about scaling up transformers as much as possible and throwing them at as much data as we can, so it's mostly making transformers more efficient and distributing them across large clusters. We should form a support group of veteran JS devs to assist AI/ML devs cope with the pace of learning. They have a lot of experience with things changing often.