First, usage: Using R for our undergrads in time of LLMs is brilliant. ChatGPT slops out working code for their needs. Not pretty but works better that in 2022.
Second, development: Mastering R is hard, because its kalkül. Tidyverse mediates some of it, but still. This is the perfect breeding ground for slopification. Lets see.
Third, errata: I would love to know the percentage of science built on R to this day. I mean insights and analysis supported by it and it vast packages. What if somewhere, deep down in the stack there is an ancient bug that dented all of this? I think AI might help us here, or review slop will negate this?
Things lost to time: The Minolta Dimage A1 had contacts for detecting when gripped, so it could ready itself without any button pressed: https://en.wikipedia.org/wiki/Minolta_Dimage_A1 (You see it in the pic, but its not described in the article).
Confounders are included and therefore controlled for, and causality can be assumed since the DV is an event/hazard. This is also the reason you end up with the seemingly high average...
Why is Nvidia so central to LLMs? Because they embraced ML a decade ago. Apple did as well, machine learning is central to so many things in the iPhone. Its not so surprising then, that a strong showing in ML sets you up good for LLMs..
Its been years since I felt urged to congratulate someone for their "webdesign", but this is really good. No boring glossy landing picture, but a distinct claim, and the the before / whoisit / after Element is unique, in a good way.
Kidnapper is likely not Deutsche Bahn but a regional subsidairy.
This is an effect of privatization gone wrong, with the national service, the infrastructure, the regional services (each), the network (not in infra), cargo and then some (sub)companies split for privatisation and an IPO that never happened. The highly segmented network is not digitalized in to any standard, so regional trains have to operate in policy frameworks and network cells that favor long distance trains. Its utter chaos on a daily basis.
The reverse is kind of true: In the beginning, SVGs were not really an option since it lacked adoption across all major browsers, or more specifically its integration was very heterogenous.
So a SVG you authored 20 years ago for some browser will likely work everywhere today.
But canceling prime does not make you a non-customer for amazon. People tend to forget that. You can still order, you still have your account and the refund is an incentive to "come back" -- although you never left.
Not to criticize this behavior, just to set it into the proper context. Its just smart to see the potential customer in your cancellations anyway.
I agree. Something similar could have happened 30 years ago, and it did, see Transport Tycoon (or a lot of early games). But from 2000 to 2020?