Unfortunately the UI seems pretty busted. The tour is trying to point out a bunch of UI elements that don't exist and the mouse interaction just doesn't work at all.

1) Obama was not in office when this advance was given. What favors could Penguin Random House have been trying to bribe him for?

2) The Obamas were paid a $65M advance on their books, which while a huge sum it was actually seen as a reasonable investment at the time given the expected popularity of those books[1]. Both books were insane hits and sold like crazy. "A Promised Land" sold ~900k copies _on the first day_[2]. They almost certainly earned out on advance and are probably continuing to rake in more from sales.

3) This Melania movie is widely expected to have very poor sales. While making unpopular movies isn't in itself a crime, the amount paid in royalties to her does not look to any reasonable person like a sound investment. At least, not if you expect your return to be in ticket sales or streaming fees.

[1] https://www.vox.com/culture/2017/3/2/14779892/barack-michell... [2] https://thehill.com/blogs/in-the-know/in-the-know/526599-bar...

``` { "code": "REDIRECT_URL_NOT_WHITELISTED", "error": "Redirect URL not whitelisted. Did you forget to add this domain to the trusted domains list on the Stack Auth dashboard?" } ```

The answer is in the first paragraph of the "Design, Study Populations, and Outcomes" section:

Exposure to COVID-19 vaccination was defined as the administration of a first dose of an mRNA vaccine between May 1 and October 31, 2021 (inclusion period), which was the mass vaccination period for adults in France, who primarily received mRNA vaccines. Multiple vaccinations in exposed individuals were not considered. The unvaccinated group was defined as individuals who remained unvaccinated as of November 1, 2021. Individuals vaccinated before May 1, 2021 (12.0%), or who received a first dose of another (ie, non-mRNA–based) COVID-19 vaccine during the inclusion period (1.4%) were excluded.

> why is everyone so keen to defend big pharma? i thought we were supposed to hate them?

Are we? Says who? Certainly there are bad actors who profit off of the misfortune of others. There are also brilliant people who work hard to bring about access to lifesaving treatments. There have certainly been examples of fraud in the past, and there have also been examples of truly amazing public health benefits.

Do I personally think the US health system could be better structured to disincentivize the former and promote the latter? Definitely! Is that evidence of a global conspiracy? Nope.

> had COVID and got hit by a bus? that was a COVID death

There's a good analysis of that here: https://www.astralcodexten.com/p/the-evidence-that-a-million...

TLDR is that all-cause death increased in line with the reported covid deaths which strongly refutes the "had covid got hit with a bus" theory.

what in the world?

Sounds great if you're only running a single web server or whatever. My team builds a fairly complex system that's comprised of ~45 unique services. Those services are managed by different teams with slightly different language/library/etc needs and preferences. Before we containerized everything it was a nightmare keeping everything in sync and making sure different teams didn't step on each others dependencies. Some languages have good tooling to help here (e.g. Python virtual environments) but it's not so great if two services require a different version of Boost.

With Docker, each team is just responsible for making sure their own containers build and run. Use whatever you need to get your job done. Our containers get built in CI, so there is basically a zero percent chance I'll come in in the morning and not be able to run the latest head of develop because someone else's dev machine is slightly different from mine. And if it runs on my machine, I have very good confidence it will run on production.

I would love to hear some war stories about the development of flight software. A lot of it is surely classified, but I'm fascinated by how those systems are put together.

> base_prompt = """ I want you to act as a show designer for Weezer's upcoming summer tour. The show is divided into four segments of contrasting moods. 1. The Pop Party section will feature upbeat, cheerful songs with a more light-hearted message about love and relationships. It will be high energy and encourage the audience to participate in singing along and dancing. 2. The Emotional Ballads section will feature slower-paced songs with poignant lyrics about love and relationships. The instrumentals provide a reflective atmosphere that may be heavy at times, but ultimately brings comfort. 3. The Dark and Heavy section will focus on heavier topics such as mental health/anxiety struggles or social commentary/satire. These songs will have intense instrumentals to match the mood of the lyrical content, allowing for an honest exploration of these issues in a safe space. 4. the Fun and Uplifting segment will have a similar vibe but with deeper lyrics that speak to mental health/anxiety struggles or spiritual enlightenment. The instrumentals may be slightly slower paced than in the Pop Party section, however they are still uplifting as they celebrate hope for brighter days ahead. You are going to analyze 2 pieces of data: the song's spotify audio feature "energy" and the song's lyrics and then return 1 of these 4 strings, corresponding to the type of song you think it is. Make sure you only return one of these 4 strings with no other test around it. Here are the 4 strings in a list: ["1. Pop Party", "2. Emotional Ballads", "3. Dark and Heavy", "4 . Fun and Uplifting"]. Now here are the song lyrics: """

https://github.com/riverscuomo/apps/blob/master/songdata.py#...

I'd love to hear of any resources that can help me understand the Zen of Go, because so far I just don't get it.