Joanna McClinton sworn in as Pennsylvania House Speaker

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Listen to ‘Weightless’ here: https://ift.tt/rqOPYeE

Taken from the forthcoming album My Soft Machine, pre-order here: https://ift.tt/WzXybnI

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Directed by Marc Oller
Produced by CANADA
Head of Music Videos CANADA Callum Harrison
Producers CANADA Sara Renteria & Anna Bacardit
Producer Débora Zhang
Director of Photography Zack Spiger
Art Director Vicki Viñas
Arlo Parks Stylist Lewis Munday
Arlo Parks Make Up Artist Emilie Louizides
Talent Stylist Natalia Vega
Talent Make Up Artist Ana Cano
Steady Operator Alberto Ojeda
Steady Assistant Manu Rodriguez
Casting Lane Casting
Editor Fouad Gaber
Post Production Álvaro Posadas @CANADA
Post Production Assistant Marta Castillo @CANADA
Post Production Coordinators Javier Botella & Marina M. Campomanes
Grading William Kjarval
Graphic Design Judit Musachs
BTS Sophie Williams
Starring Marina Garavagno & Owen Edobor
Service Production Company Cyber Few Good Men
Cyber Few Good Men EP Vuk Marjanovic
Cyber Few Good Men Line Producer Branka Ilić
Production Manager Aleksandar Vidovic & Аnja Petrović
1st AD David Jovanovic
Location Scout Nemanja Stojanović & Srdjan Radojković
Transport Coordinator Božidar Marinković
Safety Coordinator Milan Djole Alavanja
Stunt Coordinator Slaviša Ivanović
Stunt Marko Joksimović
Precision driver Marko Vasiljević
Horse Asa
1st AC Romain Malavoy
2nd AC Nenad Ristic
Video Assist Nemanja Oravec & Milos Ristić & Nikola
Čojčić
Gaffer Dragan Sapic
Best Boy Aleksandar Davidović
Sparks Jovan Todorović
Key Grip Emir Bihorac
Grip Nikola Savić
SFX Coordinator Stanislav Stanko Knežević
Local Art Director Nikola Nikolć
Props Buyer Dragan Mladenović
Set Dressers Boban Mladenović & Dragan Milovanović &
Zlatan Milovanović
Local Stylist Petra Leskovac Vučković
Wardrobe Assistant Milica Jevdjić
Suppliers Vision Team, Sapa Light, Puccini Catering, Cinevent, Geseme, Cinelab Romania

Special Thanks
Nico Méndez, Lope Serrano, Victor Mata, Sara Martínez, Laura Rodríguez, Marina Malo, Marina Casellas
Management Ali Raymond and Sarah Rodriguez @Beatnik
Label Mike Harounoff @Transgressive
Directors Rep Hands LDN

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Opening Plenary at #CreatingChangeConference 2023.

Presenting the Carmen Vázquez SAGE Award for Excellence in Leadership on Aging, and the Creating Change Immigration Award.

#WeAreCreatingChange

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Talk box on harp made me laugh real hard. This was my first time using a talk box with my harp, and things got out of hand.

Pedals in this video:
⤑ MXR Poly Blue Octave: https://bit.ly/3Xqz8Ky
⤑ Dunlop Volume Pedal: https://bit.ly/3Wde4GI
⤑ Vongon Ultrasheer: https://bit.ly/3k90GpI
⤑ Chase Bliss Dark World: https://bit.ly/3QAdykx
⤑ MXR Talk Box: https://ift.tt/t68Iz0g

Curious about how I use effects pedals with my harp?
⤑ https://youtu.be/zGSFbSdoSfU

Want to support the channel? Consider leaving a Super Thanks or join us on Patreon!
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Music from my videos:
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♡ https://ift.tt/3ywMZko ♡

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Production Recording – World Cam (Mixie / Sakari): https://youtu.be/Ieo88pUN9ug
Production Recording – Front Camera (Chocobo): https://youtu.be/PVsxg-h_BMU
Production Recording – Angled View (Sakari): https://youtu.be/HDBJkFGJShs

Dancers in the video: Scolly, TinkerLucy, BluSnow, Jesse, Nightly Zenobia, Mayodenayo, Chocobo, Mathqueen23, Poggy, CorbyKins, Redstack, Bossun, Miteydee, Furry Kev, Sakari, UnrealX_X, Kohryu, Alryca, FlyFoxy, TinyShy, Noppers, AtticusMJ, kaboodledoodle, Drusiton, SoraTheSmug, ShinePanther, Luxifinity, Varkaria, MechatronicDragon, Colt1245, Floph, Z~~~, Bellathor, WAlexW, MaskedMerchant, ClearRainbow, Browsers, OkamiYoru, Eas, v_lav, HanPanda92, _yum, Dove, SpleT

Those who practiced but couldn’t make the recording: Dek+, Metaphira, Medlish, Nil, Nick Mango, Jedde, Yinagi, Laiskiainen, Voltomere, Tek, Hexadecimalz, Itsmyrailgun

Also special shout out to Clearrainbow, Drusiton, Chocobo, Sakari, Mixie, and Megu for all of their hard work! Between helping to organize training sessions, preparing the videos / music, and doing the editing, this wouldn’t have been possible without you.

Thank you once again everyone — I hope you all have an amazing Christmas and a fantastic New Years! Looking forward to seeing you all back on the dance floor again soon!

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TK – Heaven on Earth [Official Audio]
Stream/Download “Heaven on Earth”: https://ift.tt/StTCjW6

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#TK #heavenonearth #popmusician

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🎵 “Mark’s All Male Thanksgiving” from “Elegies” 🎵 William Finn’s “Elegies” is a song cycle composed in the aftermath of September 11, 2001. These autobiographical songs memorialize the lives of many of his friends and family members, shedding light on their life stories with optimism, humor, and pathos.

His song “Mark’s All Male Thanksgiving” is a loving tribute to Finn’s quirky, warm memories of attending Thanksgiving gatherings with his community of gay friends. We hear about the foods they shared, as well as descriptions of many of the unique and talented people who attended each year.

Many of these men died of AIDS, their young lives cut too short.

During our commemoration of World AIDS Day at CBST, we share this song whose text appears in our siddur, to recall an entire generation lost to this horrible disease. May we see an end to the suffering caused by HIV/AIDS speedily in our days.

🎵: “Mark’s All Male Thanksgiving” from “Elegies” by William Finn

🗣: CBST’s Cantor Sam Rosen

🎹: CBST Music Director Joyce Rosenzweig

For more wonderful settings, be in community with CBST at Kabbalat Shabbat services, Fridays at 6:30 p.m. ET, livestreaming on CBST’s website at cbst.org/livestream. All are welcome 🌈✨

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Photorealistic digital re-aging of faces in video is becoming increasingly common in entertainment and advertising. But the predominant 2D painting workflow often requires frame-by-frame manual work that can take days to accomplish, even by skilled artists. Although research on facial image re-aging has attempted to automate and solve this problem, current techniques are of little practical use as they typically suffer from facial identity loss, poor resolution, and unstable results across subsequent video frames. In this paper, we present the first practical, fully-automatic and production-ready method for re-aging faces in video images. Our first key insight is in addressing the problem of collecting longitudinal training data for learning to re-age faces over extended periods of time, a task that is nearly impossible to accomplish for a large number of real people. We show how such a longitudinal dataset can be constructed by leveraging the current state-of-the-art in facial re-aging that, although failing on real images, does provide photoreal re-aging results on synthetic faces. Our second key insight is then to leverage such synthetic data and formulate facial re-aging as a practical image-to-image translation task that can be performed by training a well-understood U-Net architecture, without the need for more complex network designs. We demonstrate how the simple U-Net, surprisingly, allows us to advance the state of the art for re-aging real faces on video, with unprecedented temporal stability and preservation of facial identity across variable expressions, viewpoints, and lighting conditions. Finally, our new face re-aging network (FRAN) incorporates simple and intuitive mechanisms that provides artists with localized control and creative freedom to direct and fine-tune the re-aging effect, a feature that is largely important in real production pipelines and often overlooked in related research work.

Publication link: https://ift.tt/RH4bKiX

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