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They seem a little looser with the rules, too. At one point there is a question about Batman where one contestant answers, "Poison Ivy" and the host is like, "No we want the actress" and the guy says, "Uma Thurman" and gets it right.

Later on no one buzzes in on one of the questions and after the host is ready to move on one guy tries to hit the buzzer and the host is like, "Oh hey you want to answer?" And the guy gives a response.

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In the late 90s there was a Mexican version of Jeopardy!, and for some reason they decided to add dancing girls to it: youtu.be/P0DUhx0avLw?si=9-eF21

I did not expect them to dance for quite so long at the beginning there...

@eric I remember the first time I saw them I was like, "Oh that is an interesting duck wait what the fuck is going on down there‽"

@Log3overLog2 I wonder if a generalization exists for N paper l parties? Can you start with 4N districts, have party 2 combine, then party 3 combine again?

I'm guessing no, since in the extreme case you have log2(population) parties, the "define" party is forced to define 1-person districts and is effectively left out of the process...

I've started a blog! This first post is a mixture of a "hello world" and a summary of what I'm thinking of next for PyO3 (hint: stronger community network).

polar.sh/davidhewitt/posts/hel

#rust #python #blog

there's been almost twenty years of work on optimizing javascript engines with JIT and complex heuristic-based GC and a wealth of feature-rich profiling and analysis tools and validation and testing frameworks for deployment and integration and syntax improvements and functional and higher-order primitives and serverside transpiled code. and it's all enabled some amazing new stuff, for example github now takes 10 seconds to display a plain text file, and you cant search properly anymore

@brainwane Oh I was half-joking anyway, but they don't care about the truth value of saying sample sentences because they don't think you should say sample sentences *at all*. The whole idea is that you listen to increasingly complex but naturally spoken language, and over time your brain learns the language, without output.

Eventually your brain has a solid model of the language and a broad vocabulary to call on, so when you start talking you basically have natural conversations rather than staged interactions where you ask about where the library is or whatever.

It's not a monolithic movement, but I do get the impression that a lot of CI proponents actually see it as a real feature that you are having normal conversations where you are talking about your own life and the things you want to know, and implicit in that is that the amount of "lying" you do is going to be roughly the amount of lying you do in your normal life.

@brainwane I have been learning Spanish with Dreaming Spanish last 6 months or so and I do sorta see where they are coming from on waiting to acquire a lot of the language before speaking. With ~400 hours of Spanish, I am comfortable enough understanding the language that I have noticed a bunch of things about the pronunciation and differences in accent that I am sure I would have to consciously change if I had been speaking from the start.

@brainwane The comprehensible input people apparently agree with you, since they think you basically don't talk at all until you basically know the language 😛

comprehensibleinputwiki.org/wi

@kevin I think the idea is that they are not going to make a second season, so the expectation is that the entire story will be told in 8 episodes or whatever, rather than just having a season end in a cliffhanger or dragged out for several seasons or whatever.

New version of DateType today, now supporting #Python 3.7+, thanks to a contribution from Maciek Olko: pypi.org/project/datetype/2024

(It's also the first release with the "5 - Production/Stable" Trove classifier, upgraded from "Development Status :: 3 - Alpha", if you care about such things.)

New post: harihareswara.net/posts/2024/t Whether And How To Trust A New Maintainer

What kind of trust does a project #maintainer need to have in a new co-maintainer? To get better at #opensource #sustainability, we need to improve at recruiting, training, & promoting new leaders.

I cover attributes to check for.

I mine 4 comparable situations for assessment ideas, & explain how to reduce how much trust you NEED to give by promoting someone.

&: 3 options if you're low on time

#maintainership #FLOSS

@hynek I don't know how much I hate reading paper books because I don't think I've read one in 12 years or so, but I was surprised at where this went. For me reading on a phone or tablet is not nearly as good as reading on a front-lit epaper device. Once the Kindle Paperwhite came out I was like, "Well, never need to read a physical book again I guess!"

@nedbat 💯

Just yesterday, because of including tests in coverage, I spotted an assert which wasn't being run...

And it masked not one but two bugs in the assert!

github.com/jazzband/prettytabl #Python #test #coverage

Fediverse, I need help locating something!

I remember seeing a website where I could split a map area into a grid, and track that I'm visiting each grid cell on it. I can't find it in my browser history and can't remember relevant keywords to locate it with search engines either.

Does anyone know what I'm talking about?

@fantazo Totally forgot about that one. Yeah, that is nice for language learners, it's always so hard to keep track of the huge number of overlapping metaphorical meanings of different prepositions, where prepositions used in each situation are very case-by-case.

I find it interesting in [this post](blogs.transparent.com/esperant) they seem to claim that the use of "en" for "in a given time period" has a clear meaning, but "je" is used for "at a specific time". I kinda feel like you either say that a specific spatial metaphors make sense about each phrase, or you should use "je" for both, since the preposition doesn't provide additional information.

For a specific day, you have "before", "after" and "around" where the meanings would be clear and would be made ambiguous if you swapped them around, but if you swapped out "at" or "in" for "on" with "this day", it would sound wrong, but the metaphor would be roughly the same.

These are just two of the affixes, by the way. I really liked the whole system of them, it makes it pretty easy to quickly build a big vocabulary, and it's very expressive: en.wikibooks.org/wiki/Esperant

-ul = person characterized by (juna = young, junulo = a youth)
-ej = place characterized by (lerni = to learn, lernejo = school)
-ilo = instrument (skribi = write, skribilo = writing implement)

They can also be used by themselves, like:

iĝi = to become
ulo = dude, chap
ilo = tool

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One thing I really like about is the infix -iĝ- which refers to becoming, it basically makes words intransitive, like:

So ruĝa = red, ruĝiĝi = to blush
naski = to give birth, naskiĝi = to be born
edzi = to marry, edziĝi = to get married

There is a similar (maybe annoyingly so) infix for "to make/cause", -ig-, which makes them transitive:

morti = to die, mortigi = to kill
riĉa = rich, riĉigi = to become rich, riĉigi = to enrich

Those and the question marker "ĉu" are features I often wish I had in other languages.

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