For those interested / invested, they recently launched a Barbican renewal project: https://www.barbican.org.uk/our-story/press-room/barbican-un...
At least we got some good universities (and a somewhat functional transcontinental rail system) out of the 19th century iteration.
> In 1975 the student body of Stanford University voted to use "Robber Barons" as the nickname for their sports teams. However, school administrators disallowed it, saying it was disrespectful to the school's founder, Leland Stanford [1]
It's a shame that the school's administrators (perhaps fearing the wrath of alumni and donors) were so humorless – "Stealin' Landford" would have been a highly entertaining mascot, and one oddly appropriate for the gridiron.
[1] https://en.wikipedia.org/wiki/Robber_baron_(industrialist)
walz, could you write more about the setup, maybe to propitiate others to replicate it in other cities?
The “Not Like Us” snippet (09/29 2:43pm) is easily recognizable though. And “Rockabye” can be heard at 3:05pm.
https://pvibien.com/stringline.htm
Note: If you’re checking this out around 6 PM EST, look at the E train to get an idea of what a bad night on the subway looks like.
Each line on the graph represents a train with the Y axis as stations and the X axis representing time. You can follow the trip of the train and get an idea for how well the line is running based on the straightness of the line. If you see areas where the line is flat in the Y axis, you know that a train is being held at a station.
Here’s an example where “stringlines” provide information that a countdown clock couldn’t convey: https://i.imgur.com/u5VGqH4.jpeg
Because the “line” is not progressing past 5th Ave/53rd st, we know that that is where the issue is occurring. A countdown timer would simply either say static or start adding time, but you wouldn’t know how far the next train is from you.
Here’s another example: https://i.imgur.com/mrvrbUt.jpeg
What I can glean from this is that the E train is running with much lower frequency than it was an hour ago, so I should expect longer wait times.
It’s truly a marvelous invention.
Two notes: 1. These “stringlines” are also known as Time-Space Diagrams in the transit industry, and they’ve been around for a while. e.g. https://www.researchgate.net/figure/Time-space-diagrams-of-t...
In fact Vibien cites as inspiration the official NYCT stringline paper: https://www.worldtransitresearch.info/research/5936/
2. I’ve noticed that at least on the A, the viz is inaccurate? It’s missing a lot of trains.
This would also address the two reasons why the author thinks AI is not suited to this task:
1. human stays in the loop by (ideally) checking the JSON-LD before publishing; so fewer hallucination errors
2. LLM compute is limited to one time per published content and it’s done by the publisher. The bots can continue to be low-GPU crawlers just as they are now, since they can traverse the neat and tidy JSON-LD.
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The author makes a good case for The Semantic Web and I’ll be keeping it in mind for the next time I publish something, and in general this will add some nice color to how I think about the web.
That all makes sense to me, and I agree.
But here’s what’s odd to me:
We ended up not choosing the seconds pendulum approach (for reasons mentioned in the article). Instead they chose to use “1 ten-millionth of the Earth’s quadrant”. Now, how is it that that value is so close to the length of the seconds pendulum? Were they intentionally trying to get it close to seconds pendulum length, and it just happened to be a nice round power of ten? Is that a coincidence?