BC SOCIETY
Saved by @Mollyycolllinss

"drivers license" is all in 4/4, but uses some VERY creative phrasing to create a sense of suspense! cc @SwitchedOnPop @Top40Theory @TheDanielNigro

each verse is 7 bars long, with 6 lines and one bar of rest. Your ears expect 8, but you get an odd number. (1/5)

 Rodrigo sings the last line, "Crying 'cause you weren't around," then her voice drops out, leaving you in the emptiness of the music...

But then, a piano chord pitchshifts down as the next section starts up a bar early, as if she's interrupted by her own thoughts. (2/5)
similarly, each chorus is 10(!) bars long. The first four lines are two pairs of 3 bars, which is pretty uncommon...

But just as you get used to it, the last two lines have twice as many syllables - and cut off the chorus unresolved in only 2 bars! (3/5)
The bridge is more conventional, with two sets of 8 bars. It's the only part of the song that feels familiar and predictable. Olivia's going nowhere, stuck in her past memories. (4/5)
In the final chorus, she repeats the last line, resolving the song with 3 sets of 4 bars.

It's neater, but it's still not symmetrical. Where any other song would give you a chorus of 16, "drivers license" doesn't give you the satisfaction. Brilliant pop songwriting. (5/5)
listen for yourself! As catchy and 4/4 as it is, it's surprisingly difficult to count along with the phrasings https://t.co/rZoao7Hrd9
P.S. I myself wrote a big pop song with a 7-bar chorus and 10-bar finale - coming up with that organically is still one of my proudest creative moments ✨✨✨

https://t.co/hfO8P5BF4o
OH, and @Olivia_Rodrigo sings the same phrasing in her early demo of the song! Musical prodigy incoming (6/5?)

https://t.co/Md8bQdfnvi
@ThreadReaderApp unroll

More from Society

Nuddering
Nuddering
@NudderingNudnik
A long thread on how an obsessive & violent antisemite & Holocaust denier has been embraced by the international “community of the good.”

Sarah Wilkinson has a history of Holocaust denial & anti-Jewish hatred dating back (in documented examples) to around 2015.


She is a self-proclaimed British activist for “Palestinian rights” but is more accurately a far Left neo-Nazi. Her son shares the same characteristics of violence, racism & Holocaust denial.

I first documented Sarah Wilkinson’s Holocaust denial back in July 2016. I believe I was the 1st person to do so.

Since then she has produced a long trail of written hate and abuse. See here for a good summary.


Wilkinson has recently been publicly celebrated by @XRebellionUK over her latest violent action against a Jewish owned business. Despite many people calling XR’s attention to her history, XR have chosen to remain in alliance with this neo-Nazi.

Former Labour Shadow Chancellor John McDonnell MP is among those who also chose to stand with Wilkinson via a tweet.

But McDonnell is not alone.

Neo-Nazi Sarah Wilkinson is supported and encouraged by thousands of those on the Left who consider themselves “anti-racists”.
SOCIETY
Michael Grunwald
Michael Grunwald
@MikeGrunwald
My dad’s first memory is hiding under a table 80 years ago tonight, when Nazis took his dad to Dachau on #Kristallnacht.

His parents, my Omi and Opi, always considered themselves more German than Jewish, so they didn’t think they’d get swept up in the madness.

Opi was taken to city hall with other Jews and lined up against a wall. He thought he was going to be shot.

He always remembered when they got to Dachau there were pajamas with Jewish stars waiting on their cots. Obviously not a spontaneous thing.

He was very lucky. His family got him a fake Uruguayan visa and he was out of Dachau six weeks later. “Before Christmas,” my dad recalls.
SOCIETY
Advertisement
\U0001f1fa\U0001f1f8 SheNerd the Deplorable \U0001f1fa\U0001f1f8
🇺🇸 SheNerd the Deplora...
@shnerdly
For those traveling to DC on Jan. 6th, I'm a native to the area and I would like to share with you what I will be doing this time and what I have done for the last two rallies...1/
SOCIETY , TRAVEL
Polyamorous Tantric Sex Guru
Polyamorous Tantric Se...
@BethLynch2020
"this is not a third world country.."


"this is not a third world country.."


"this is not a third world country..."


"this is not a third world country.."


"this is not a third world country.."
SOCIETY
Internet Freedom Foundation (IFF)
Internet Freedom Found...
@internetfreedom
THREAD: We filed RTIs on behalf of @no2uid asking the Ministry of Health and Family Welfare questions about how your personal data will be protected while you're using CO-WIN, the COVID-19 vaccination registration platform.

We got answers... kind of. Here's the new info.

1/n


Just like with Aarogya Setu, many Indians are worried that about the potential CO-WIN has to leak your data or threaten your privacy in the name of dealing with a pandemic. So, we asked the MOHFW some questions about data protection under the Right to Information Act.
2/n


In the responses we received, MOHFW said that it cannot provide us with a privacy policy on CO-WIN (?!).

Thankfully it was clarified that Aadhaar is not mandatory for registration on Aarogya Setu or CO-WIN, and that physical vaccine certificates will be provided to everyone.
3/n

The data it says it will collect will be your name, gender, date of birth, photo ID, and number.

National, State, and District level admins will have access to use the app, but there is not much further clarity on this point.

But most importantly...
4/n

The responses (or rather lack of them) related to your data privacy and protection are completely vague. We received no clear answers on which Ministries/Depts will have access to your personal data, the permissions provided, etc. This is a failure in terms of transparency.
5/n
SOCIETY

You May Also Like

SK
SK
@sk_diary1
A #story from #Thiruvilayadal puranam- one of divine leelas of Bhagwan Shiva

#threadseries #madurai

Koodal Kaandam

Story 21 - it is about how stone elephant came to life and ate sugarcane - When Raja Abhisheka Pandyan met Ellam Valla Siddhar

கல்யானைக்கு கரும்பருத்திய படலம்


Raja Abhisheka Pandiyan went ahead to meet Ellam Valla Siddhar on the premises of the temple.On seeing the arrival of Raja, people surrounding Siddhar moved back. Abhisheka Pandiyan introduced himself to Siddhar &asked about his whereabouts.Also his purpose of visit to Madurai.

Raja asked why he performed magical acts, does he expect anything from him or people of Madurai.

Siddhar laughed & replied to Raja that he was from Kasi. He had heard a lot about Madurai in Kashi.Also told that this place is a Mukti Kshetram,so he had come to stay here.

Siddhar asked Raja if he has the capability &power to give anything that he asks for. Siddhar told King that he has power to do things even if he think of it.Siddhar asked King to ask whatever he wants & it would be provided, whatever these people had asked, they were granted.


Abhisheka Pandyan was shocked to receive such a reply from Siddhar,& he decided to test the power of this Siddhar. By that time, Raja saw a person in crowd having Sugarcane.

Raja took Sugarcane from that person.
ALL
Richard James
Richard James
@RJSHutton
I think a plausible explanation is that whatever Corbyn says or does, his critics will denounce - no matter how much hypocrisy it necessitates.


Corbyn opposes the exploitation of foreign sweatshop-workers - Labour MPs complain he's like Nigel

He speaks up in defence of migrants - Labour MPs whinge that he's not listening to the public's very real concerns about immigration:

He's wrong to prioritise Labour Party members over the public:

He's wrong to prioritise the public over Labour Party
POLITICS
Advertisement
Roger Grosse
Roger Grosse
@RogerGrosse
Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ


The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.
MACHINE LEARNING
Suhas S. Hardutt
Suhas S. Hardutt
@HarduttSuhas
THE BATTLE OF TALIKOTA and the destruction of Vijaynagar (Hampi)
26 January 1565

A tale of valor, deception and decimation.

A grim reminder that if we fail to protect our heritage, it will eventually crumble under the onslaught of "forces of anarchy".
(Elaborate thread)


This decisive battle was fought between the Vijayanagara empire and the Deccan sultanates resulting in a rout of Vijayanagara and ending the last major medieval era Hindu kingdom in south India.(1)

The seeds of 1565 encounter were sown more than 250 years earlier when the forces of the Delhi Sultanate, during the time of Alauddin Khilji and later Md Bin Tughlaq swept through southern India in an expansion spree.(2)

By middle of the 14th century, facing rebellions, Tughlaq withdrew to Delhi, leaving behind 2 empires, Bahmani, which ruled the Deccan from Kalaburagi, and Vijayanagara, which ruled most south India with its capital at Vijayanagar.(3)

The Raichur Doab, between the Krishna and Tungabhadra rivers, existed as a natural boundary between these two kingdoms, with wars often breaking out over control of this territory.(4)
HISTORY
Roger Grosse
Roger Grosse
@RogerGrosse
Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ


The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.
MACHINE LEARNING