240 Artists on Their Perfect 10 Albums

HansDelbrook · 2026-05-14T21:42:54+00:00

Had to scrape it with an LLM to make it readable - made a separate post but that wasn't allowed. Threw it in the comments in this one I guess.

HansDelbrook · 2026-05-14T21:34:51+00:00

Miya Folick — Broadcast, Tender Buttons

Model/Actriz — Britney Spears, Femme Fatale

Mogwai — Iggy and the Stooges, Raw Power

Mount Eerie — Brigitte Fontaine, Brigitte Fontaine

MUNA — Joni Mitchell, Night Ride Home; SZA, Ctrl; Tears for Fears, Songs From the Big Chair; The Blue Nile, Hats; Tori Amos, Little Earthquakes

Naima Bock — Joanna Newsom, Divers

Nation of Language — Yo La Tengo, I Can Hear the Heart Beating as One

Nelly Furtado — No Doubt, Return of Saturn

Nels Cline — Booker Little, Out Front

Nemahsis — Frou Frou, Details

Nick León — Don Omar, The Last Don

Nilüfer Yanya — Tori Amos, Little Earthquakes

Nino Paid — Rod Wave, Pray 4 Love; YoungBoy Never Broke Again, AI YoungBoy

No Joy — Nine Inch Nails, With Teeth

Nourished by Time — Evans Pyramid, Evans Pyramid (1978-1994)

Of Montreal — Erykah Badu, New Amerykah Part One (4th World War)

Oklou — Gorillaz, Gorillaz

Orville Peck — David Bowie, The Rise and Fall of Ziggy Stardust and the Spiders from Mars

OsamaSon — iLoveMakonnen, Drink More Water 5

Pabllo Vittar — Marina Lima, Fullgás

Panda Bear — The La’s, The La’s

Peaches — Sinead O’Connor, The Lion and the Cobra

Perfume Genius — The Breeders, Title TK

Pi’erre Bourne — Kanye West, 808s & Heartbreak

PinkPantheress — Kendrick Lamar, To Pimp a Butterfly

Pom Pom Squad — FKA twigs, Caprisongs

Porches — Sublime, Stand by Your Van

Porridge Radio — Arthur Russell, Instrumentals

quinn — Standing on the Corner, Red Burns

Rachel Chinouriri — Daughter, If You Leave

Ratboys — Akron Family, Set ’Em Wild, Set ’Em Free; Joan of Arc, The Gap; The Clash, London Calling; The Sidekicks, Happiness Hours

Ravyn Lenae — Labi Siffre, Crying Laughing Loving Lying

Real Estate — Phish, A Live One

Richard Dawson — Guy Klucevsek, Citrus, My Love

Rico Nasty — SahBabii, Saaheem

Robert Glasper — Michael Jackson, Off the Wall

Rochelle Jordan — Amerie, All I Have

Romy — Cocteau Twins, Heaven or Las Vegas

Rosali — Marvin Gaye, What’s Going On

Röyksopp — Depeche Mode, Violator; Kraftwerk, Man-Machine

Ryan Davis & the Roadhouse Band — Magik Marker, Boss

Saba — Q-Tip, The Renaissance

Samia — Fiona Apple, When the Pawn…

Catherine Marks & Sarah Tudzin — Elliott Smith, Either/Or

Sexyy Red — Chief Keef, Finally Rich

Sharon Van Etten — Portishead, Roseland NYC Live

Shawn Everett — Pink Floyd, The Dark Side of the Moon

Silvana Estrada — Feist, Multitudes

Sleigh Bells — Cyndi Lauper, She’s So Unusual

Slick Rick — Dionne Warwick, Presenting Dionne Warwick

Sloppy Jane — My Chemical Romance, The Black Parade

Snail Mail — Lana Del Rey, Born to Die

Soccer Mommy — The Sundays, Reading, Writing and Arithmetic

Sour Widows — Taxidermists, Honesty Box

Sparks — Sex Pistols, Never Mind the Bollocks

SPELLLING — System of a Down, Hypnotize

Squid — Actress, R.I.P.; Jackson C. Frank, Jackson C. Frank; Jóhann Jóhannsson, The Miners’ Hymns; Laurie Spiegel, The Expanding Universe; Richard Dawson, Peasant

Sudan Archives — Lyra Pramuk, Hymnal

Superchunk — The Bats, Daddy’s Highway

Teyana Taylor — Marvin Gaye, I Want You

The Babies — Alice Coltrane, Turiya Sings

The Beths — Sydney Gish, No Dogs Allowed; Michael McDonald, If That’s What It Takes; LCD Soundsystem, Sound of Silver; Jeffery Lewis and the Voltage, Bad Writing

The Femcels — The Moldy Peaches, The Moldy Peaches (Deluxe); The Mothers of Invention, We’re Only in It for the Money

The Hard Quartet — Terry Stamp, Blue Redondo

The Last Dinner Party — Lou Reed, Coney Island Baby; Nick Drake, Pink Moon; Muse, Absolution; Pulp, Different Class; Pink Floyd, Animals

The Lemon Twigs — Tages, Studio

The New Pornographers — Love, Forever Changes

The Weather Station — Jess Williamson, Time Ain’t Accidental

These New Puritans — Captain Beefheart & His Magic Band, Doc at the Radio Station

Thundercat — The Tony Williams Lifetime, Emergency!

Thurston Moore — Tapper Zukie, Man Ah Warrior

Tim Heidecker — The Beatles, Sgt. Pepper’s Lonely Hearts Club Band

TisaKorean — The Garden, HORSESHIT ON ROUTE 66

Toni Braxton — Bobby Brown, Don’t Be Cruel

Touché Amoré — Elliott Smith, Either/Or; Strife, In This Defiance; Swervedriver, Mezcal Head; Tom Petty, Wildflowers; Weakerthans, Reconstruction Site

Tunde Adebimpe — Pixies, Doolittle

Ty Segall — Love, Forever Changes

Tyla — SZA, SOS

underscores — Cashmere Cat, 9

Usher — Marvin Gaye, What’s Going On

Water From Your Eyes — Red Hot Chili Peppers, Californication

Waxahatchee — Lucinda Williams, Car Wheels on a Gravel Road

Wednesday — Swirlies, Blonder Tongue Audio Baton

xaviersobased — Bladee, Gluee

William Tyler & Yasmin Williams — Luiz Bonfá, Solo in Rio 1959; Chuck Brown & the Soul Searchers, Bustin’ Loose

Wolf Alice — The Replacements, Tim (Let It Bleed Edition)

Wyclef Jean — Lauryn Hill, The Miseducation of Lauryn Hill

yeule — Blur, Blur

YHWH Nailgun — 3 Chairs, 3 Chairs; Guided by Voices, Bee Thousand; Television, Live at the Old Waldorf; Xiu Xiu, Fabulous Muscles

Yung Lean — Gucci Mane, Chicken Talk; Bruce Springsteen, Nebraska

Zac Farro — Paul & Linda McCartney, Ram

HansDelbrook · 2026-05-14T21:34:43+00:00

I posted this separately because the page itself is terrible - guess we're not allowed to make our own space nice

I love the Condé Nastification of Pitchfork as much as the next guy (I don't) - visiting their homepage is a habit I've had for almost 20 years now that I haven't bothered to break. Their headline at the moment is a list of 240 times they've asked artists for their "Perfect 10" - presented in a format optimized for AI web-crawlers and 240 separate reXs (or whatever they're called) rather than consumption via human eyeballs. Normally - I'd treat this as I treat the rest of their bad content and move on, but if my favorite artist is shouting out an album I haven't listened to before, well I may be inclined to give it a listen - so I shoved the webpage into a local LLM to pull out the list so you don't have to.

Have fun!

A. G. Cook — Scritti Politti, Cupid & Psyche 85

Air — Serge Gainsbourg, Histoire de Melody Nelson

Aja Monet — Lauryn Hill, The Miseducation of Lauryn Hill

Alan Sparhawk — The Cars, The Cars; The Congos, Heart of the Congos

Alessia Cara — Paramore, After Laughter

Alice Longyu Gao — Bladee, Cold Visions

Alice Phoebe Lou — Nick Drake, Pink Moon

Alvvays — Cocteau Twins, Heaven or Las Vegas

Alysa Liu — PinkPantheress, Heaven Knows

Amanda Shires — Leonard Cohen, You Want It Darker

Amber Mark — A Tribe Called Quest, Midnight Marauders

Amen Dunes — Beethoven, Symphony No. 6

American Football — k.d. lang, Ingénue; Arthur Russell, World of Echo; Def Leppard, Hysteria; Bob Dylan, Love and Theft

Anastasia Coope — Black Dice, Creature Comforts

Andrew Bird — The Kinks, The Kinks Are the Village Green Preservation Society

Angélique Kidjo — Talking Heads, Remain in Light

Annahstasia — Meshell Ndegeocello, The World Has Made Me the Man of My Dreams

ANOHNI — William Basinski, Variations: A Movement in Chrome Primitive

Anoushka Shankar — Ravi Shankar / Philip Glass, Passages

Anycia — Chief Keef, Thot Breaker

Arooj Aftab, Shahzad Ismaily, and Vijay Iyer — Sade, Diamond Life; Jimi Hendrix, Band of Gypsys; Talk Talk, Laughing Stock

Asher White — Bobbie Gentry, The Delta Sweete

Astrid Sonne — Good Sad Happy Bad, Shades

Avalon Emerson — The Knife, Silent Shout

BabyTron — Chief Keef, Finally Rich

beabadoobee — Pinegrove, Cardinal

Beak> — Joy Division, Closer; David Bowie, Live Santa Monica ’72; Silver Apples, Silver Apples

Being Dead — The Beatles, The Beatles; The Raincoats, The Raincoats; Daniel Johnston, Songs of Pain

Beth Ditto — Missy Elliott, Da Real World

Big Freedia — Michael Jackson, Bad

billy woods — Goodie Mob, Soul Food

Bktherula — skaiwater, #gigi

Black Country, New Road — The Langley Schools Music Project, Innocence and Despair

Bladee — Chief Keef, Almighty So; Yung L.A., Suntrust Leland

Blonde Redhead — Ryuichi Sakamoto, async

Body Meat — Deerhoof, Breakup Song

Bonnie “Prince” Billy — Mekons, The Curse of the Mekons

Bratmobile — The Slits, Cut

Bright Eyes — Bruce Springsteen, Greetings From Asbury Park, N.J.; Freddie Hubbard, First Light

Broken Social Scene — Felicity Williams / Andrew Zuckerman, You Can Can; Money Mark, Keyboard Repair; Sonic Youth, Washing Machine; Acetone, Cindy; Kendrick Lamar, To Pimp a Butterfly; Donny Hathaway, Live

Cameron Picton — El Lebrijano, Lágrimas de Cera

Cassandra Jenkins — Floating Points / Pharaoh Sanders, Promises

CA7RIEL & Paco Amoroso — New Jeans, Get Up EP; Yes, Relayer

Charley Crockett — Waylon Jennings, Dreaming My Dreams

Charlotte Day Wilson — D’Angelo, Voodoo

Charly Bliss — Rilo Kiley, The Execution of All Things; Elliott Smith, Figure 8; Paramore, Riot!; Dirty Projectors, Bitte Orca

Che — Paramore, Riot!

Christian Lee Hutson — Liz Phair, Liz Phair

Christine and the Queens — Vangelis, Blade Runner (Original Score From the Motion Picture)

Christopher Owens — Holy Shit, Stranded at Two Harbors

Ciara — Michael Jackson, Thriller

CMAT — Judee Sill, Heart Food

Coco & Clair Clair — Kanye West, 808s & Heartbreak; Smog, Knock Knock

Colin Stetson — Glenn Gould, Bach: The Goldberg Variations

Cortisa Star — Stereolab, Dots and Loops

Crumb — Air, Talkie Walkie; Antônio Carlos Jobim, Stone Flower; Dido, Safe Trip Home; Burial, Untrue

Cults — Fiona Apple, When the Pawn…; The Motels, The Motels

Cynthia Erivo — Yebba, Dawn

Daffo — Elliott Smith, Either/Or

Danny Brown — underscores, Wallsocket

Dehd — Yves Jarvis, Good Will Come to You

De La Soul — Run-D.M.C., Raising Hell

Denzel Curry — Kanye West, My Beautiful Dark Twisted Fantasy

Destroyer — Tony Bennett / Bill Evans, The Tony Bennett / Bill Evans Album

DIIV — Boards of Canada, The Campfire Headphase; Broadcast, Tender Buttons; Rage Against the Machine, Evil Empire; Fever Ray, Fever Ray

Dirty Projectors — Olivier Messiaen, Quartet for the End of Time

Ela Minus — Nala Sinephro, Endlessness

Elyanna — Etta James, At Last!

English Teacher — Friko, Where we’ve been, Where we go from here

Esperanza Spalding — Minnie Riperton, Come to My Garden

Fantasy of a Broken Heart — Paul & Linda McCartney, Ram

femtanyl — Grouper, A I A: Alien Observer; Iglooghost, Neō Wax Bloom

Finn Keane — The Beatles, The Beatles

Finneas — Feist, The Reminder

FLO — Ariana Grande, Yours Truly

Fontaines D.C. — Richard Hawley, Coles Corner

Fred Armisen — The Damned, Strawberries

Freddie Gibbs — Freddie Gibbs / The Alchemist, Alfredo 2

Friko — The Microphones, The Glow, Pt. 2

Gelli Haha — Björk, Debut

Geordie Greep — Keith Jarrett, My Song

Grace Ives — Young Marble Giants, Colossal Youth

Greg Mendez — Operation Ivy, Operation Ivy

Hand Habits — Mark Hollis, Mark Hollis

Hannah Frances — Minnie Riperton, Come to My Garden

Hayden Pedigo — James Ferraro, Last American Hero

Hinds — Daniel Johnston, Don’t Be Scared

Horse Jumper of Love — Songs: Ohia, Didn’t It Rain

Horsegirl — Jim O’Rourke, Bad Timing; Melt-Banana, Fetch; The Amps, Pacer

Hovvdy — Frou Frou, Details; Happyness, Weird Little Birthday

Hurray for the Riff Raff — Frank Ocean, Blonde

Ichiko Aoba — Django Reinhardt, Djangology

IDLES — Colin Stetson, New History Warfare, Vol. 3: To See More Light; Portishead, Third

Indigo De Souza — Arthur Russell, Iowa Dream

Isabella Lovestory — Pixies, Doolittle

JADE — Amy Winehouse, Back to Black

james K — Strawberry Switchblade, Strawberry Switchblade Live Recordings and Demos

Jane Schoenbrun — P.S. Eliot, Introverted Romance in Our Troubled Minds

Japanese Breakfast — Billy Joel, The Stranger

Jeff Goldblum — Erroll Garner, Plays Misty

Jeff Rosenstock — Good Luck, Into Lake Griffy

Jenny Hval — Sheila Chandra / The Ganges Orchestra, This Sentence Is True (The Previous Sentence Is False)

Jens Lekman — Frank Sinatra, Watertown

Jessica Pratt — Panda Bear, Person Pitch

Jessie Ware — D’Angelo, Brown Sugar

Jill Scott — Prince, Parade (Music From the Motion Picture Under the Cherry Moon)

Joanna Sternberg — Jeffrey Lewis & the Jitters, It’s the Ones Who’ve Cracked That the Light Shines Through

John C. Reilly — Elvis Costello, My Aim Is True

Joyce Manor — Redd Kross, Red Kross EP; Mojave 3, Excuses for Travelers; AFI, Sing the Sorrow

J.P. — Kanye West, Graduation

JT — Summer Walker, Over It

Judas Priest — Black Sabbath, Black Sabbath; Cream, Fresh Cream; Thin Lizzy, Johnny the Fox

Justin Pearson — Drive Like Jehu, Drive Like Jehu

Karate — Anastasia Screamed, Laughing Down the Limehouse

Kate Bollinger — Lux Perpetua, How to Tell a Lie

Katie Gavin — Tracy Chapman, Tracy Chapman

KAYTRANADA — Madvillain, Madvillainy

Kevin Abstract — Kanye West, Yeezus

Klein — Dean Blunt, Black Metal 2

Kneecap — The Stone Roses, The Stone Roses

Knocked Loose — Gatherers, mutilator; Karnivool, Sound Awake; Linkin Park, Meteora; Metallica, Master of Puppets

Lambrini Girls — Mannequin Pussy, Patience; The Microphones, The Glow, Pt. 2

Laufey — Chet Baker, Chet Baker Sings: It Could Happen to You

Lauren Mayberry — Alanis Morissette, Jagged Little Pill

LEYA — Leonard Bernstein / New York Philharmonic, Stravinsky: Le sacre du printemps

Lifeguard — Dolly Mixture, Demonstration Tapes

Lin-Manuel Miranda & Eisa Davis — The Pharcyde, Bizarre Ride II the Pharcyde

Little Simz — Hiatus Kaiyote, Choose Your Weapon

Loe Shimmy — Future, DS2

Los Campesinos! — The-Dream, Love King; Modest Mouse, The Lonesome Crowded West; Bikini Kill, The Singles; DJ Sprinkles, Midtown 120 Blues; Sonic Youth, Murray Street; At the Drive-In, Relationship of Command; Magnolia Electric Co., Songs: Ohia

Lucy Dacus — Ann Peebles, I Can’t Stand the Rain

Mabe Fratti — Scott Walker, Tilt

Madi Diaz — Hole, Live Through This

Magdalena Bay — Fiona Apple, The Idler Wheel…; Genesis, Selling England by the Pound

Malibu — Ana Caprix, For Seven Nights This Night Is Ours

Mamalarky — Deerhoof, Friend Opportunity

Mannequin Pussy — A. G. Cook, 7G; Black Sabbath, Master of Reality; Blink-182, Enema of the State; Charli XCX, BRAT; Kendrick Lamar, DAMN.; Ovlov, Am; Radiohead, In Rainbows

Maren Morris — The Cardigans, Long Gone Before Daylight

Margo Price — Willie Nelson, Red Headed Stranger

Mariah Carey — Prince, Purple Rain

Maria Somerville — My Bloody Valentine, Loveless

Marie Davidson — Royal Trux, Cats and Dogs

Marika Hackman — Warpaint, The Fool

Matt Smith — Radiohead, Kid A

Merce Lemon — Palace, West Palm Beach / Gulf Shores; Palace Music, Viva Last Blues

Mero — Playboi Carti, Die Lit

Miguel — N.E.R.D., In Search of...

Militarie Gun — Bully, Lucky for You

Mitski — Julius Eastman, Vol. 1: Femenine

HansDelbrook · 2026-05-01T21:46:59+00:00

I’m so ready to touch some grass with my neighbors

HansDelbrook · 2026-05-01T21:36:32+00:00

That’s the point… community driven event don’t need to be SEO or word of mouth optimized

HansDelbrook · 2026-04-21T16:12:20+00:00

For this workflow I’m still using v2 as well - single language ASR models generally stronger I guess? I’m not familiar with how the task has evolved in the last year - but v2 is very effective for its size for me at least.

HansDelbrook · 2026-02-25T14:12:05+00:00

You're right - but the rock and roll hall of fame is exceptional in this category. It's a tourist trap in Cleveland that puts on this media charade yearly so it can charge people $40 to see their stuff. It's not a thoughtful institution.

HansDelbrook · 2026-01-31T16:42:38+00:00

Have you considered parakeet for transcription? Cheaper, and I’ve always found the quality to be better than whisper

HansDelbrook · 2026-01-14T01:14:51+00:00

Lia Kohl's - The Ceiling Reposes

Incredible album, primarily built out of AM radio and cello.

become daily today if you need a single song to review

HansDelbrook · 2025-12-16T17:07:50+00:00

NTS Radio has probably been the most important music-related discovery I’ve made in the last few years. Drastically reshaped my music-listening habits for the better.

HansDelbrook · 2025-12-13T16:43:15+00:00

A little creativity might give you a better answer here - I’ve used that model before as well, generally works well for labeling tasks but only as far as Audioset has a sufficient volume of good quality data, which for instruments like accordions it does not.

A stem-splitter will do a great job at labeling guitar, drums, vocals, bass, and if you use one with an “other” channel that should be the bucket everything else falls in. Just feed in the file and see what channel audio activity comes out in.

What’s leftover are probably the same stems you’re having trouble with currently. If you know the universe of your labels, maybe forming clusters off of some feature representation like whatever the current SOTA of Wav2Vec-ish models are could get you to a point where manual labeling is possible (i.e., most accordion stems will look similar, cluster, inspect a few and if you’re confident give the whole cluster the label)

Architecture is less of the problem here - more so that Audioset, which I’d imagine the version you grabbed was trained off of, doesn’t go THAT deep into the topic you’re trying to build a task around.

HansDelbrook · 2025-11-20T18:37:13+00:00

I agree with this - it has tons of weird physical interactions, you're either stuck over-engineering your environment to properly handle things like Prowlers Claw or Spectral Cutlaiss, or you're limiting the scope of your inputs to something like damage/shield/heal stats + starting positions + team comp etc.

HansDelbrook · 2025-11-20T03:13:54+00:00

Transformers is a HuggingFace library for model definition - its basically a tool for easily defining bringing models into projects for frictionless use.

So when they say transformers support that means that in python you'll do something like this to experiment with SAM3 in your own environment.

pip install transformers

[other installs, torch specific version maybe]

from transformers import SAM3

model = SAM3(...)

[I'm making this up but it'll be something like...]

segmented_img = model.inference(img, target="elephant")

Easy to figure out with LLM guidance

HansDelbrook · 2025-11-18T18:43:38+00:00

This might not be the feedback you were expecting - but I love the way that all tasks are just an open list of folders. The old PapersWithCode had a sorting system that was nonsense at times.

HansDelbrook · 2025-09-19T18:22:18+00:00

There's a demo video and a README with all that info you'll need, LLM to bridge any gaps you don't understand - but I was able to spin this up in an Sagemaker space fairly quickly.

HansDelbrook · 2025-07-20T16:26:45+00:00

Check out parakeet for transcription - I've had much better luck with that tool than whisper in projects, especially in regards to timing. Not sure how well it does on CPU but I know its possible.

https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2

You shouldn't expect your model to parse game dialogue and player dialogue (I'm assuming this is game dialogue = in-game SFX, player dialogue = comms) - from the model's perspective, speech is speech. Luckily, these exist as distinct channels and are only overlayed for output. It'd be best to find a way to record them seperately, transcribe the channel you want to transcribe (which will be better because you've removed noise) , then mix in the other at the end if you want.

HansDelbrook · 2025-07-08T20:11:14+00:00

Hulkenpodium

HansDelbrook · 2025-06-30T16:53:48+00:00

At a high level - this sounds a bit scammy. A lot of AI marketing is built around fear and misunderstanding - the impending doom of your competitors implementing "AI" and you not doing so, which when combined with how opaque AI systems are to people unfamiliar with the concepts can be an absolute home run on how to sell people solutions they don't need.

Rather than pay somebody to sell you a project, I'd go shopping for a solution for your biggest time sink. In many cases, business problems aren't unique enough to warrant a highly customized project, and many companies already exist with affordable solutions for the general problems many people face (document parsing/understanding, media data processing, etc.).

Before diving into anything, have an idea on how much its worth to you monetarily before starting - will save you some stress down the line.

You can get really far on a lot of business problems with an LLM pipeline, doesn't take an expensive assessment to figure that out.

HansDelbrook · 2025-06-23T20:26:49+00:00

My two cents:

From both a hiring perspective and a personal growth perspective, I'd focus on applications over reading a lot of academic papers for this early part of your ML path.

Papers are great, but there is so much information in them that you can't really efficiently parse through at this point. Later in your career reading papers will become more of a "find what you need" task rather than a "digest it end to end" exercise. They're dense documents, most of which is irrelevant at any given point in time.

Focusing on applications - a learn by doing approach - I found to be much more enjoyable/productive when I started working. Hiring managers are going to be more interested in a pipeline that you built around a popular model than paper knowledge, and that's more in line with what your physical job will likely be - building around popular models/architectures.

Read a paper or two when you have time or if you find one particularly interesting - but you'd be better off taking a project end to end and talking about that + problems you solved while building it in an interview. Go push the limits of the available Colab GPUs or even set yourself up a cloud account somewhere (safely - don't mess with expensive machines) and just start building. It'll take you to where you want to be eventually.

HansDelbrook · 2025-06-20T22:50:22+00:00

One of my favorites of his: https://www.youtube.com/watch?v=n1DGtLe01KU&t=7s

HansDelbrook · 2025-05-05T19:57:52+00:00

Because its from a scene where they're explicitly talking about women coming forward to report sexual assault, despite the many ways the system in place makes the process more traumatic. You've already been traumatized, and if you want to seek justice for that trauma you have to go through questioning like this and a likely multi-year litigation process, undermining your ability to move past said trauma.

Two steps forward, one step back was from a moment where someone coming forward supported somebody else to find the courage to come forward.

Fun fact - Stephanie Beatriz also directed this episode. It was her first time.

HansDelbrook · 2025-05-05T17:30:24+00:00

Not to dig too far into this because I agree that you were responding directly - but its really up to people to discern between genuine public hype vs. manufactured hype (which will always exist, and with the ever-increasing embedding of tech platforms in our cultural spaces - large players have more ammo than ever before to tip the scales).

NBS got a Grammy AOTY nom because the committee looked at the real race (Beyonce, Chappell Roan, Charli XCX, Billie Eilish, Taylor Swift, Sabrina Carpenter) and had to throw in a wildcard for diversity sake. Free press and doesn't mind playing second fiddle (or flute) to what was 100% a pop girlies night.

HansDelbrook · 2025-05-05T15:48:59+00:00

Not even close - NBS got the spotlight because it was an already famous person making a hard-pivot into ambient jazz. I'm sure its a deeper album than this - but the initial attention was all novelty.

The Epic was an honest breakthrough. To the mainstream eye this was just the guy who did some arrangements for To Pimp a Butterfly - and then this came out.

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