Monthly Archives: January 2019

Janelle Monáe Watches Fan Covers on YouTube | Glamour

On this episode of “You Sang My Song,” Janelle Monáe watches fan covers on YouTube Music of her songs “I Like That,” “Queen,” “Pynk,” and “Cold War.” Fans react to Janelle watching their music.

Watch the covers here:

I Like That: 34Kmusic – https://music.youtube.com/watch?v=yVTFp-X-6WY&list=RDAMVMyVTFp-X-6WY
Queen: Irma Seleman – https://music.youtube.com/watch?v=AsJ6kCRNjsU&list=RDAMVMyVTFp-X-6WY
Pynk: B Munro – https://music.youtube.com/watch?v=FGsFgTTkFy0&list=RDAMVMyVTFp-X-6WY
Cold War: Clefhangers – https://music.youtube.com/watch?v=5fbNru0wxl8&list=RDAMVMyVTFp-X-6WY

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Janelle Monáe Watches Fan Covers on YouTube | Glamour

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How sanctuary cities actually work

President Trump says he wants to strip funding from so-called “sanctuary cities,” but what exactly do these cities do?

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The map at 4:26 comes from the Immigrant Legal Resource Center (http://bit.ly/2iecykM)

Cities and counties that limit their cooperation with federal immigration agents are sometimes called “sanctuaries,” but the word doesn’t actually have any legal meaning. However, because the constitution prohibits the federal government from making states enforce its laws, cities, counties, and other local jurisdictions have lots of freedom to ignore, or comply with, requests from federal agencies like ICE to detain undocumented immigrants for deportation.

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AOC Shifts the Overton Window

Sometimes, shifting the Overton Window from on high is more important than legislative victories. Many right-wing people know this. Most white nationalist “Western civilization” types like Steve King know this. Supporters of seemingly-eternal right-wing memes like “term limits” and “Balanced Budget Amendments” know this, no matter how long they’ve been trying to make them a reality.

Ideas don’t die easily, and the elected left in this country has historically a hard time pushing the ideas marketplace leftward, only gaining traction during certain moments in history.

This is precisely why I voted for Bernie Sanders in the 2016 primary. He is one of the few elected legislators who actively sought at the time to shift the Overton Window left on acceptable economics. Now, Alexandria Ocasio-Cortez is aggressively, relentlessly pushing leftward while taking control of her self-image in ways that even Sanders had trouble doing.

The beauty in this is that Democratic leadership doesn’t have to be at that forefront, at least not right now. It will build to a slow boil from backbenchers like Ocasio-Cortez and Sanders, until it becomes the common wisdom of tomorrow. The leadership simply has to move where the puck is going to be.

It feels good to not give a shit what conservatives – be they Republican or Democrat – think. Conservatives sure as hell haven’t – for decades – and have framed the rhetoric on economics so that their opponents – from Obama and Clinton to Sanders and Ocasio-Cortez – are anywhere between mere “idiots” to “treasonous cretins who should be lynched from a tree”.

Now, as the contradictions are heightened and sharpened, we are in the process of reframing the debate. The Soviets and the countries which fell under their sway – authoritarians one and all – made it patently unsafe for nearly a century to call oneself a socialist in public in the United States. Venezuela adopted the same authoritarian tact on the shifty grounds of oil, and Latin Americans as a whole are paying for the human rights sins of Venezuela and Cuba. To adopt the same authoritarian communist style of governance or politics which flourished and mostly dissipated by the turn of the century would be terrible, so it is wise for American socialists and progressives to look more toward Western European labor-socialists. 

And increasingly, it is appealing to Americans who are more partial to a strong social safety net as that same safety net is further eviscerated by economic liberals and libertarians. Just as it is becoming safer for many to call themselves “nationalists” in public, it is becoming safer for many to call themselves “socialists” in public as well. 

So it is OK to make conservatives crazier than usual. It’s OK to rubbish the conservative economic and fiscal hegemony. It’s OK to aggressively push the Overton Window to the left. 

Lizzo – Juice (Official Video)

New single “JUICE” out now! http://bit.ly/2VoIDuN

WATCH, SIP, REPEAT 🥤💦

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Director: Quinn Wilson
Video Commissioner: Emmanuelle Cuny
Executive Producer: Alli Maxwell
Associate Director, Video Administration: Lily F Thrall
Assistant, Video Production: Trevor Joseph Newton

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http://lizzomusic.com

The official YouTube channel of Atlantic Records artist Lizzo. Subscribe for the latest music videos, performances, and more.

Born in Houston and raised in Detroit, Lizzo adopted her moniker in 2011 and fronted Lizzo & the Larva Ink after moving to Minneapolis. Her work began to intertwine with the city’s indie scene, allowing her to work with artists like Gayngs and Doomtree.

Since then, Lizzo has collaborated with a variety of creatives–Clean Bandit, Bastille, and Big Freedia, to name a few–and was named one of Forbes Magazine’s 2018 “30 Under 30”. Her top singles “Good As Hell” and “Truth Hurts” have gained over 34.5 million Spotify streams combined. In addition to headlining her own Good As Hell tour in 2017, Lizzo joined Haim on the Sister Sister Sister tour in 2018.

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Mayor Mike Duggan Keynote Address | #MPC17

Detroit is truly the comeback city. From booming development and a robust entrepreneurial ecosystem to efforts to reduce crime and blight, the city’s revitalization is a shining example for metropolitan communities across the country. But there is still more work to do. As his first term nears completion, Detroit Mayor Mike Duggan will reflect on the progress being made in the city and ongoing collaboration needed to ensure all of its citizens benefit from Detroit’s rebirth.

Interviewer: Paul W. Smith, Host, WJR NewsTalk 760 AM

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Turning 2D into depth images

Most cameras just record colour but now the 3D shapes of objects, captured through only a single lens, can be accurately estimated using new software developed by UCL computer scientists. The method, published at CVPR 2017, gives state-of-the-art results and works with existing photos, allowing any camera to map the depth for every pixel it captures. The technology has a wide variety of applications, from augmented reality in computer games and apps, to robot interaction, and self-driving cars. Historical images and videos can also be analysed by the software, which is useful for reconstruction of incidents or to automatically convert 2D films into immersive 3D.

Inferring object-range from a simple image by using real-time software has a whole host of potential uses. Depth mapping is critical for self-driving cars to avoid collisions, for example. Currently, car manufacturers use a combination of laser-scanners and/or radar sensors, which have limitations. They all use cameras too, but the individual cameras couldn’t provide meaningful depth information.

The new software was developed using machine learning methods and has been trained and tested in outdoor and urban environments. It successfully estimates depths for thin structures such as street signs and poles, as well as people and cars, and quickly predicts a dense depth map for each 512 x 256 pixel image, running at over 25 frames per second.

Currently, depth mapping systems rely on bulky binocular stereo rigs or a single camera paired with a laser or light-pattern projector that don’t work well outdoors because objects move too fast and sunlight dwarfs the projected patterns.

There are other machine-learning based systems also seeking to get depth from single photographs, but those are trained in different ways, with some needing elusive high-quality depth information. The new technology doesn’t need real-life depth datasets, and outperforms all the other systems. Once trained, it runs in the field by processing one normal single-lens photo after another.

Understanding the shape of a scene from a single image is a fundamental problem. A 360 degree depth map would be fantastically useful – it could drive wearable tech to assist disabled people with navigation, or to map real-life locations for virtual reality gaming, for example.

At the moment, the software requires a desktop computer to process individual images, but they plan on miniaturising it, so it can be run on hand-held devices such as phones and tablets, making it more accessible to app developers. It has also optimised only for outdoor use, so the next step is to train it on indoor environments.

The team has patented the technology for commercial use through UCL Business, but has made the code free for academic use. Funding for the research was kindly provided by the Engineering and Physical Sciences Research Council.

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