> Since John Hammond "spared no expense", it is fair to say he picked 1GiB version at $3,598 a piece. That would give them 7 GiB of storage for a 2026 equivalent of $33,223.70. In 2026, 7 GiB of HDD would cost $0.49.
Did anyone ever try to estimate storage inflation across time? 7GiB could be one or two pc games in 2026, in 1992 one games likely was 1.4MB.
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.
Not so sure if Google "still controls 90 of web search" and if this means what it meant three years ago. Many prompts could have been a web search. The metric of interest must evolve here.
The early version of Google Play Music asked for your MP3s, so you could have them in the cloud for streaming. I guess they did this for a baseline of data and music and now I wonder if this was an elaborate hack to circumvent legal implications. Should have read the terms back then.
Most sports would profit from a deeper understanding and application of statistical inference. Or even of descriptive statistics. The fun lays in the operationalization, a step most applications of AI will likely omit, since AI will work out the dimensions of the data by itself.
Boxing for example could calculate the amount of kinetic energy brought to the table and how much of it landed or was sidestepped. How much was absorbed? Not easy to do, but also not impossible.
Great work, it really captures the feeling of Marble Madness. Its maybe to deep of a thought, but I really fancy the spin of the marble, something that the original was not conveying as fancy as your version does.
Did anyone ever try to estimate storage inflation across time? 7GiB could be one or two pc games in 2026, in 1992 one games likely was 1.4MB.