A somewhat cynical but not that I can see incorrect inference from this might be that the critical thing to look at in any market is primarily, to what degree is it a matter of "fashion"; and what are the contributions of current and anticipated social capital concentrations on whether something stays in fashion.
Nearby is the concept of novelty: fashion in the clothes sense obviously chases a convoluted but ultimately cyclical path through relatively limited spaces.
Many of us who have been on HN or in the industry prior to its inception have seen the pendulum swing in technology fashions as well—a regular example being the architectural decisions made in front-end frameworks.
The fiction of classical philosophy of science was that it was additive, and that information was well preserved over time, and hence the entire process of scientific progress one of, well, progress.
The equivalent fiction here might be that there is some obvious way in which the over-hyped and the real, usually, are determined not by intrinsic merit but rather through the tidal swinging of fashion.
Usually. Every once in a while actual progress is made, thank god.
ML and AI are obviously one of those cases.
The noise of the industry churn and frenzy don't obscure that much, at all.
Nearby is the concept of novelty: fashion in the clothes sense obviously chases a convoluted but ultimately cyclical path through relatively limited spaces.
Many of us who have been on HN or in the industry prior to its inception have seen the pendulum swing in technology fashions as well—a regular example being the architectural decisions made in front-end frameworks.
The fiction of classical philosophy of science was that it was additive, and that information was well preserved over time, and hence the entire process of scientific progress one of, well, progress.
The equivalent fiction here might be that there is some obvious way in which the over-hyped and the real, usually, are determined not by intrinsic merit but rather through the tidal swinging of fashion.
Usually. Every once in a while actual progress is made, thank god.
ML and AI are obviously one of those cases.
The noise of the industry churn and frenzy don't obscure that much, at all.