Miles Davis Pepperdine Lurid eccentric sputtering: student gives strange homeless man pep talk (Illustrated with ASRGenerateStoryandVideo)

 

 

 

 

 

18-year-old student Utahna's, nineteen-nineties Pepperdine University, poolside career recommendation -- offered gratis, to the unkempt, dark man, whom she thought looked, each exotic, and homeless -- first week off-farm in Malibu.

Encounter of anonymous freedom, uncynical, nor preordained -- it came quickly with recognition of the weird gentleman beside her on campus, poolside -- of his talent she was bound that it greatly merited wider listening.

 

 

 

 

 

 

    Miles Dewey Davis Jr. intervention: free and instant review (anonymous, sitting beside Pepperdine pool -- together).  

To him, Pepperdine student -- opinion of a piece of music, he mentioned as being 'contemporary,' and which he requested  her assessment of same.

Offering early, red Walkman -- cued to demo of one of the most troublesome pieces of late-fusion jazz, thought by some non-cognoscenti:  sometimes --noise.

Having listened through the musician's own red Walkman headphones; having genuinely enjoyed the 'strange' music, she provided a real appraisal of this, to her, avant-garde piece of music, which she hoped would offer the person encouragement to pursue a career within the future, saying:

"You ought to ‘do something’ with this."

She had not a clipped wit to whom it was she’d galvanized • a review, she said, "had appeared honestly, and touched him just the same."

A stranger's enjoyment and encouragement for a few of the foremost hard jazz bars of the 20th century, by one of every one and the same--architect, purveyor, performer--top-10 cultural icons on the planet.

The cultural icon whom she had blissfully just failed to recognize.  

A man so identifiable in every sense, that it would only take a year or so in the smokey air between the Ocean, the PCH, and Pep for it to all come crashing down on her one night--an epiphany.

Seeing him onstage, blousy shirt, sweaty shine, miraculous jazz--she predicted it would go over well, she'd thought to herself just then:  the house lights went down and the applause went through the roof.

Lurid, eccentric, and sputtering wares blown up and at 'em: metropolis skirt flaps--declarative, illustrious to Chicago.

Icy beats ringing with fever of dazzling sapphire--stark paronomasia.  

Soft grime jazz of the mythopoeic, hopeless musician which Bix B. would have approved.

 

 ('* Man, arise and be recognized. * See him live in fever dreams of ultimate, diabolic existence. * Man, arises. * "Love, Manuel Noriega," written across the top. * "Sleep Deprivation Mix," scrawled below. * "Love" written on the top of the piece. * Bix, fast from his family home, fell dotty with Armstrong. * Collaborating and addressing every mistake incapable of correction. * Many jazz trumpeters and cornetists measure Victor Herbert L. Clarkes 1921 letter to Elden Benge, foremost trumpeter, musician and author of standards--16-year-old student. * Jazz trumpeters are often exaggerated, undeterred, but secreted in a girl\'s purse.', '    Length of Input:---->845', '  Length of Output:----> 636')

 

("Disguised, toneless notation--wicked as Lydian arithmetic. Musical lacunae--Junkanoo Jazz.

 

What's love, but, a second hand emotion? Many jazz trumpeters and cornetists measure Victor Herbert L. Clarke’s 1921 letter to Elden Benge, foremost trumpeter, musician and author of standards--16-year-old student whether or not, or to not switch from trumpet to enforce unenforceable larger Chicago to navigate--strip sensory stimulation, emphatic horns, ham-handed tittle-tattle whose omen is dubious--neither newer legacies exaggerated, undeterred, but secreted in a girl's purse. Hogtied-up where the Free Kabbala symphony, more toothless union's inability to banish itself from itself -- orchestra erased canonical theses -- ethereal, recollected, echoic squawks:  unreal, in unsignatured time.

 

“As he was the king, guys needed his strategy, but that suggests the opposite in terms of vocalization on surface--to remain up or enhance attack of dissembling used to offend interlocutors.

 

You can't give it to 'em dry like that\n    You gotta get that shit wet first, nigga\n    Like, come on now! (\n    Let's go!\n    )

[Verse 2: Nicki Minaj]\n    Uh-huh, uh-huh, yo, ayo\n    I was on the plane with Dwayne\n    You can call me Whitley, I go to Hillman\n    Listen, I'm the baddest in the school, the baddest in the game\n    Excuse me, honey, but nobody's in my lane\n    When you was in New York, you was fuckin' a Yankee\n    I was fuckin' with base, I was pitchin' to Franky\n    These bitches so cranky, get 'em a hanky\n    M-mommy, I'm cold, gimme my blankie\n    Flyer than a kite, I get higher than Rapunzel\n    Keep the Snow White, I could buy it by the bundle\n    Step your cookies up 'fore they crumble\n    Don't be actin' like the Cardinals and gon' fumble\n    'Cause I'm a Steeler, fresh up out the dealer\n    All the dope boys gon' feel her\n    Flow so sick I need a healer\n    Fuck is my MAC concealer? (Ooh)\nWould you be my American boy?", '    Length of Input:---->15967', '  Length of Output:----> 2073')

 

 

* Free Jazz thinker Ornette Coleman, is bell-blowin' Hell through high water to thirty-second beats of pantomimic mummers.
* Man, arise and be recognized.
* See him live in fever dreams of ultimate, diabolic existence.
* Man, arises.
* "Love, Manuel Noriega," written across the top.
* "Sleep Deprivation Mix," scrawled below.
* "Love" written on the top of the piece.
* Bix, fast from his family home, fell dotty with Armstrong.
* Collaborating and addressing every mistake incapable of correction.
* Many jazz trumpeters and cornetists measure Victor Herbert L. Clarke's 1921 letter to Elden Benge, foremost trumpeter, musician and author of standards--16-year-old student.
* Jazz trumpeters are often exaggerated, undeterred, but secreted in a girl's purse.
* Miles Dewey Davis Jr. intervention: free recommendation and instant review of jazz.\

 ("Soft grime jazz of the mythopoeic, hopeless musician.Man Man, arise and be recognized.Lacunae-Junkanoo Jazz. All you have to do is fall in love with me, all you have to do is play the game Christian and Satine share their feelings for each other in this duet. Here are some of the most famous love songs from the past 50 years. Bix and gladiator meet Summer of 1920: Mississippi Riverboat S.S. Capitol pulls into Davenport-Armstrong on board. Hit records need to repeat strategy on the surface, but guys need to repeat it. Clarke’s letter to Benge is seen by many as omen. U.S. premiere of a new work by Pulitzer Prize-winning composer. Is there a difference between ‘up’ and ‘enhance’ attacks? Recommendation came after first week off-farm in Malibu ruler.Walkman gives review of his most troublesome piece of music.Watch the video for the classic 1970s song, Seven Up, from the film The Graduate. Nicki Minaj, DJ Holiday team up for a new track.U.S. rapper breaks down on the importance of getting that shit wet. Nicki Minaj, DJ Holiday, Mizay Entertainment give us some Trap-A-Holics goodness.Check out the full tracklist below: I’m the only thing hoppin’, like a kangaroo I mean only thing Nicki Minaj's new single is called “Anaconda” and features Oscar Mayer. I win, I win! Nicki Minaj's performance at the Video Music Awards.I want, I want, I want, leopard-skin, like, you know?Singer-songwriter has a message for aspiring artists.Hard jazz was not a form of art, it was a way of life.Check out the video for Kanye's new single with Estelle.Post-Chorus, Estelle, Mura Masa, Mura Masa and more on their new album.Estelle is back in London for the first time in four years.Estelle's latest single is about a trip to New York.West and Estelle team up for the first time on new single.I Is it true that fashion has become more fashion-forward in recent years?Check out the full tracklist below:Would you be my love, my love?Estelle, Post-Chorus, Be my American boy all in the same song.", '    Length of Input:---->15967', '  Length of Output:----> 1994')

 

 

 

Being Beiderbecke -- sharing his parturient, patronymic bed of cool-blowin' Genesis from barn in Israel, Bix created music that was prototype, detected in haunts wherever haints and molls gathered--dreaming up gin mills in each one.


Free Jazz thinker Ornette Coleman, is bell-blowin' Hell through high water to thirty-second beats of pantomimic mummers: eight phrasal, rugger-mugger pastiness repel second-mind intuition.

Man, arise and be recognized.

See him live in fever dreams of ultimate, diabolic existence.

Disguised, toneless notation--wicked as Lydian arithmetic.

Compelled to sexually subdue and scold through hazing ritual repetitive tortures.

 

    "Love, Manuel Noriega," written across the top.

    "Sleep Deprivation Mix," scrawled below.

    Musical lacunae--Junkanoo Jazz.

    Day 1

 [CHRISTIAN, spoken]
All you need is love
[SATINE, spoken]
You're being ridiculous
[CHRISTIAN, spoken]
All you need is love
[sung]
Just one night, give me just one night
[SATINE]
There's no way 'cause you can't pay
[CHRISTIAN]
In the name of love, one night in the name of love
[SATINE]
You crazy fool, I won't give in to you
[CHRISTIAN]
It's so easy, all you have to do is fall in love
[SATINE]
Love hurts
[CHRISTIAN]
All you have to do is play the game
[SATINE]
Love scars
[CHRISTIAN]
All you have to do is
Take on me
[SATINE]
No, no, no, it ain't me
[CHRISTIAN]
Take me on
[SATINE]
No, no, no because you'll be gone in a day or two
[CHRISTIAN]
I love you, always, forever
Near or far, closer together
Everywhere I will be with you
[SATINE]
Love is a battlefield
[CHRISTIAN]
Everything I will do for you
[SATINE]
Don't speak
I know just what you're thinking
So please stop explaining
Don't tell me 'cause it hurts
[CHRISTIAN]
Open up your eyes, then you'll realize
Here I stand with my everlasting love
Need you by my side, girl, you'll be my pride
You'll never be denied, everlasting love
[SATINE]
What's love got to do, got to do with it?
What's love, but, a second hand emotion?
What's love got to do, got to do with it?
Who needs a heart, when a heart can be broken?
[Christian and
Satine
,
Both
]
You're breaking my heart
S'pose I never, ever met you
[SATINE]
What's love got to do with it?
[CHRISTIAN]
Suppose we never fell in love
[SATINE]
Who needs a heart?
[CHRISTIAN]
Suppose I kept on singing love songs
[SATINE]
All of this music breaks my heart
[BOTH]
Yes, it breaks my heart
Yes it breaks my heart
[CHRISTIAN]
I can't help falling in love with you
[SATINE]
I'm all out of faith
This is how I feel
I'm cold and I'm ashamed lying naked on the floor
[CHRISTIAN]
Take me on
[SATINE]
Illusion never changed into something real
I'm wide awake and I can see the perfect sky is torn
[CHRISTIAN]
They will see us coming from such great heights
"Come down now", they'll say
[BOTH]
Everything looks perfect from far away
"Come down now", but we'll stay
[CHRISTIAN]
'Cause, love lifts us up where we belong
Where the eagles fly on a mountain high
[BOTH]
Love makes us act like we are fools
Throw our lives away for one happy day
[CHRISTIAN]
We can be heroes, just for one day
[SATINE]
Though nothing can keep us together
[CHRISTIAN]
We can steal time, just for one day
[BOTH]
We can be heroes forever and ever
We can be lovers just for one day
We can be heroes forever and ever
We can be lovers just for one day
[CHRISTIAN]
And you can tell everybody
[BOTH]
This is your song
It may be quite simple but, now that it's done
I hope you don't mind, I hope you don't mind
That I put down in words
[CHRISTIAN]
We can be heroes
[SATINE]
How wonderful life is
[CHRISTIAN]
We can be heroes
[SATINE]
How wonderful life is
[CHRISTIAN]
We can be heroes
[SATINE]
How wonderful life is
[BOTH]
While you're in the world
I will always love you
And I will always love you
And I will always love you

    Sect of disciples, doctor lecturers whose secretary, overdeveloped, unhappy, however, redoubtably decrepit, ruins her subject ascendant--its hunger goes to bed starving.

    A voluntary bunch who compel to each sex--and dire, portraiture love playacted of deprivation-x.

    Bix and gladiator meet Summer of 1920:  Mississippi Riverboat S.S. Capitol pulls into Davenport--Armstrong on board, enjoying Orchestra.

    Bix, fast from his family home, fell dotty with Armstrong. 

    Collaborating and addressing every mistake incapable of correction, whose life as wild retribution--no mercy was there to forestall.

    Orthogonal, as he was King: hit records--guys needed to repeat his strategy which on the surface seemed applicable, but suggested otherwise--vocalizations of enhanced attack, or recipient, dissimulating used to offend interlocutors.

    Many jazz trumpeters and cornetists measure Victor Herbert L. Clarke’s 1921 letter to Elden Benge, foremost trumpeter, musician and author of standards--16-year-old student whether or not, or to not switch from trumpet to enforce unenforceable larger Chicago to navigate--strip sensory stimulation, emphatic horns, ham-handed tittle-tattle whose complete omen is dubious--neither newer legacies exaggerated, undeterred, but secreted in a girl's purse. 

    Hogtied-up where the house of Brave and Free, a Kabbala symphony, more, toothless labor union's inability to banish itself from itself -- orchestra erased canonical theses-- ethereal, recollected, echoic squawks, unreal, in unsignatured time.
   

“As he was the king of hits, guys needed to repeat his use of strategy that seems applicable, but that suggests the opposite in terms of management is vocalization appearance, on surface, to remain up or enhance recipient attack of recipient, a dissembling kind used to offend interlocutors."

 [Intro: Seven Up]
Yo, yo, yo
What's up, what's the deal?
It's your boy, Seven Up, man
You already know if it's up, then it's stuck, and all that
But you already know how it is, man
Shout out to Nicki Minaj, man
I just wanted to share, man, you already know
Free makeup, mixtapes, and all that, you know how we give it up
Got me yellin' on a plane, man, listen up, man
[Verse 1 (False Start): Nicki Minaj]
Uh-huh, uh-huh, yo, ayo
I was on the plane with Dwayne
You can call me Whitley, I go to Hillman
Listen, I'm the baddest in the school, the baddest in the game
Excuse me, honey, but nobody's in my lane
When you was in New York, you was fuckin' a Yankee
I was fuckin' with base, I was pitchin' to Franky
These bitches so cranky, get 'em a hanky
M-mommy, I'm cold, gimme my bla-
[DJ Drop: Nicki Minaj &
DJ Holiday
]
Woah, woah, woah, woah, woah, woah, woah!
Okay, okay, woah, woah, Holiday
Wait, hold on, hold on, Holiday!
You can't give it to 'em dry like that
You gotta get that shit wet first, nigga
Like, come on now!  (
I got you!
)
You gotta prep them for shit like that
They can't just get that shit right off the top
Like, you gotta bring that shit back
Bring that shit the fuck back! (
Let's go!
)
I think we got y'all's attention now, right?
Nicki Minaj, DJ Holiday, Mizay Entertainment
Shouts out Trap-A-Holics, we run this!
Let's go, Nicki!
[Verse 2: Nicki Minaj]
Uh-huh, uh-huh, yo, ayo
I was on the plane with Dwayne
You can call me Whitley, I go to Hillman
Listen, I'm the baddest in the school, the baddest in the game
Excuse me, honey, but nobody's in my lane
When you was in New York, you was fuckin' a Yankee
I was fuckin' with base, I was pitchin' to Franky
These bitches so cranky, get 'em a hanky
M-mommy, I'm cold, gimme my blankie
Flyer than a kite, I get higher than Rapunzel
Keep the Snow White, I could buy it by the bundle
Step your cookies up 'fore they crumble
Don't be actin' like the Cardinals and gon' fumble
'Cause I'm a Steeler, fresh up out the dealer
All the dope boys gon' feel her
Flow so sick I need a healer
Fuck is my MAC concealer?
I be out in Queens on the back of four-
Whee-whee-whee-whee-whee-whee-wheelers
I'm a big deal
That's why I get more head than a pigtail
Put some ranch out, I’m gettin' the munchies
I think I'll have a rap bitch for my entrée
'Cause they be thinking they can spit, spit-shine my shoes
You know I keep a bad bitch, let me sign your boobs
I'm the only thing hoppin', like a kangaroo
I mean the only thing poppin', like a can of brew
Listen, you should buy a sixteen, 'cause I write it good
That 808 woof-woof, 'cause I ride it good
And bitches can't find they man, 'cause I ride it good
I'm the wolf, where is Little Red-a Riding Hood?
[Chorus: Nicki Minaj]
Now, if you see a itty bitty piggy in the market
Give that bitch a quarter and a car, tell her, "Park it"
I don't fuck with pigs, like "as-salamu alaykum"
I put 'em in a field, I let Oscar Mayer bake 'em
And if you see a itty bitty piggy in the market
Give that bitch a quarter and a car, tell her, "Park it"
I don't fuck with pigs, like "as-salamu alaykum"
I put 'em in a field and I let Oscar Mayer bake 'em, bitches
[Interlude: Nicki Minaj]
Wow
It's like I just single-handedly annihilated, you know, every rap bitch in the building
Like, like, I'm Nicki Minaj, Nicki Lewinsky, Nicki the Ninja, Nicki the Boss, Nicki the Harajuku Barbie
Like, I mean, I don't even know why you girls bother at this point
Like, give it up! It's me!
I win! You lose Hahahahahahaha
Oh, shit! Hahaha, yo
[Bridge: Nicki Minaj]
I'm a bad bitch, I'm a, I'm a bad bitch
I'm a bad bitch, I'm a, I'm a bad bitch
I'm a bad bitch, I'm a, I'm a bad bitch
I'm a bad bitch, I'm a, I'm a bad bitch
[Outro: Nicki Minaj]
Hahahahahaha
I told you, I told you before
I told you y'all was gonna have to pick my fruit out
Now listen, in addition to pickin' my fruit out
I want y'all to start going to the boutiques
Know what I'm saying?
Get some, get some, get some crazy shit for me
I want, I want, you know, leopard-skin, and, you know?
I want, I want all that crazy lizard-skin shit, like, you know?
Make sure you...
You can be my personal shopper!
Hahahahahahahahahahahaha
Aaaaayyyyooooo!
Woo
Uh-huh, uh-huh, uh-huh, uh

[Intro: Kanye West &
Estelle
]
This a number one champion sound (
Yeah
)
Yeah, Estelle, we 'bout to get down (
Get down
)
Who the hottest in the world right now? (
Uh
)
Just touched down in London town (
Uh
)
Bet they give me a pound (
Uh
)
Tell 'em put the money in my hand right now (
Yes
)
Tell the promoter we need more seats
We just sold out all the floor seats
[Chorus 1: Estelle]
Take me on a trip, I'd like to go some day
Take me to New York, I'd love to see LA
I really want to come kick it with you
You'll be my American boy
[Verse 1: Estelle]
He said, "Hey, sister, it's really, really nice to meet ya"
I just met this 5-foot-7 guy who's just my type
Like the way he's speakin', his confidence is peakin'
Don't like his baggy jeans but I might like what's underneath them
And, no, I ain't been to MIA
I heard that Cali never rains
 
and New York's wide awake
First let's see the West End, I'll show you to my bredrin
I'm likin' this American boy, American boy
[Chorus 1: Estelle]
Take me on a trip, I'd like to go some day
Take me to New York, I'd love to see LA
I really want to come kick it with you
You'll be my American boy, American boy
[Post-Chorus]
La, la la, la la, eya
La, la la, la la, eya
La, la la, la la, eya
Will you be my American boy? American boy
[Verse 2: Estelle]
Can we get away this weekend? Take me to Broadway
Let's go shopping, maybe then we'll go to a café
Let's go on the subway, take me to your hood
I never been to Brooklyn and I'd like to see what's good
Dressed in all your fancy clothes
Sneakers lookin' fresh to death,
I'm lovin' those Shell Toes
Walkin' that walk, talk that slick talk
I'm likin' this American boy, American boy
[Chorus 1: Estelle]
Take me on a trip, I'd like to go some day
Take me to New York, I'd love to see LA
I really want to come kick it with you
You'll be my American boy
Tell 'em wah gwan, blud!
[Verse 3: Kanye West
with Estelle
]
Who killin' them in the UK?
Everybody gonna say, "You, K"
Reluctantly, 'cause most of this press don't fuck with me
Estelle once said to me, "
Cool down, down
Don't act a fool now, now.
"
I always act a fool
oww, oww
Ain't nothing new now, now
He crazy, I know what you thinkin'
Ribena, I know what you're drinkin'
Rap singer,
chain blinger
Holler at the next chick soon as you're blinkin'
What's your
persona about this Americana
 rhymer?
Am I shallow 'cause all my clothes designer? Uh
Dressed smart like a London bloke (
Yeah
)
Before he speak his suit bespoke (
Woop
)
And you thought he was cute before
Look at this pea coat, tell me he's broke (
Woo
)
And I know you ain't into all that
I heard your lyrics, I feel your spirit
But I still talk that
ca-a-ash
'Cause a lotta wags wanna hear it
And I'm feelin' like Mike at his baddest
Like The Pips at their gladdest
And I know they love it
So to hell with all that rubbish
[Bridge: Estelle]
Would you be my love, my love?
Would you be mine?
Would you be my love, my love?
Would you be mine?
Could you be my love, my love? (Ooh)
Would you be my American boy? American boy
[Chorus 2: Estelle]
Take me on a trip, I'd like to go some day (Ooh, someday)
Take me to Chicago, San Francisco Bay (I wanna see the Bay)
I really want to (You) come kick it with you (Ooh-ooh-ooh)
You'll be my American boy, American boy (Be my American boy)
[Chorus 1: Estelle]
Take me on a trip I'd like to go some day (I'd like to go some day)
Take me to New York, I'd love to see LA (See LA)
I really want to come kick it with you
You'll be my American boy, American boy
[Post-Chorus]
La, la la, la la, eya (La, la)
La, la la, la la, eya (Ooh, ooh)
La, la la, la la, eya
Will you be my American boy?

My Greatest AI DALL·E Prompt Generated Art: What if robots fail?

 

DALL·E mini

AI model generating images from any prompt!

 

The model attains strong zero-shot performance on several standard datasets, often outperforming models up to 16x its size. Further, our approach attains strong performance on a subset of tasks from the BIG-bench benchmark, outperforming models up to 6x its size. 

Candid, Masterful art Original Signed pictures by known photographers of different known photographers, beat their own masterful vogue that they're all at once thought-about the best photographers of the planet

 

(Celebrating the Musee D'Orsay exhibit, a at the same time revealed deluxe cocktail table Edition outsized document celebrating the occassion revealed by Rizzoli, with Gucci in an exceedingly cooperative role as designer of the quilt of this $10000 Art Book).

1.

Philip K. Dick photographed Sci-Fi author, Isaac Asimov in Sri Lanka.

2.

Ansel Adams (DAPPLED WITH daylight, standing on his field, strewn with article of furniture and improvement products).

3.

Henri Cartier Bresson (laughing with wild eyes and long, tangled matted hair, half-naked, holding a grimy metal garbage can).

4.

Gary Winogrand

 

(Ext. Outside big apple LOUNGE, on the road, holding Dixie cup of occasional, shaking bugs from his hair).

5.

William Eggleston (EXT.

Memphis COCA-COLA plant - PRE-DAWN 1994).

6.

Andre Kertesz (Birds-eye view).

7.

Man Ray (Absinthe panel truck behind him, as he stands on the road wherever he lives, ahead of a row of low-rent flats in his Parisien Monmartre neighborhood, winking at Picasso girlfriend).

8.

Diane Arbus (on cruddy shag carpet, open volumes of encyclopaedia Britannica unfold around.

She scratches herself as she studies one among the volumes.

Insects soup up and down everywhere her body from the carpet.

When she exhales, a cloud of bugs pour from her mouth; she shoos them away.

9.

Weegee, huge, noble, Coca-Cola sign, spooky silhouette against the first big apple morning sky.

 

He sits on his window housing on Centre Market Place in hand by the Jovino family directly higher than their gun look, together with his feet nearly touching the known gun sign that marks its place across from his workplace, the big apple town precinct of Downtown, Chinatown, and tiny Italy.

10.

Richard Avedon (hunched over a steel chair in his garden, smoking his pipe in the grey morning light).

11.

Ralph Gibson (Smiling and nodding with hard to hand cordiality as he gives you a nickel for a can of beer on a street corner in Philly).

12.

John Lennon (A solitary cigarette against a brick wall in his London flat, looking across the street at the wrong side of his wall, atop the Kray twins' dwelling).

13.

Kodak Type III (NOSE CHIP)

14.

Vintage photogrpahy (SUMMER BERMUDA - 1989)

15.

Umbrella with umbrellas (back-up image of myself inside the umbrella with one of the several friends I had).

16.

The DALL·E mini model comes equipped with a fully integrated back-up, system for a higher level of robustness.

DALL·E mini model back-up system (possible back-up to the DALL·E mini model).

Digital camera, point and shoot, LCD screen (bottom of a container, held in front of my head as I stood on a wooden box, with all its surface marked with sticky notes, listing all the various issues in my life, my relationships, my hobbies, my interests, my pursuits, etc.).

Piano.

(12.5x12.5 inch print, DALL·E mini model, by A.R. Ross.)

"City Lights" by Charlie Chaplin (I think I was walking home

Salvador Dali (Hanging dead in his head in one of his paintings from his office at the great Spanish satirical magazine, Perfil).

This model card focuses on the model associated with the DALL·E mini space on Hugging Face, available here. The app is called “dalle-mini”, but incorporates “DALL·E Mini’’ and “DALL·E Mega” models (further details on this distinction forthcoming).

• “OpenAI had the first impressive model for generating images with DALL·E. DALL·E mini is an attempt at reproducing those results with an open-source model.”

Resources for more information: See OpenAI’s website for more information about DALL·E, including the DALL·E model card. See the project report for more information from the model’s developers. To learn more about DALL·E Mega, see the DALL·E Mega training journal.

• 
  

Direct Use

The model is intended to be used to generate images based on text prompts for research and personal consumption. Intended uses include supporting creativity, creating humorous content, and providing generations for people curious about the model’s behavior. Intended uses exclude those described in the Misuse and Out-of-Scope Use section.

Downstream Use

The model could also be used for downstream use cases, including:

• Research efforts, such as probing and better understanding the limitations and biases of generative models to further improve the state of science
• Development of educational or creative tools
• Generation of artwork and use in design and artistic processes.
• Other uses that are newly discovered by users. This currently includes poetry illustration (give a poem as prompt), fan art (putting a character in various other visual universes), visual puns, fairy tale illustrations (give a fantasy situation as prompt), concept mashups (applying a texture to something completely different), style transfers (portraits in the style of), … We hope you will find your own application!

Downstream uses exclude the uses described in Misuse and Out-of-Scope Use.

Misuse, Malicious Use, and Out-of-Scope Use

The model should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.

Out-of-Scope Use

The model was not trained to be factual or true representations of people or events, and therefore using the model to generate such content is out-of-scope for the abilities of this model.

Misuse and Malicious Use

Using the model to generate content that is cruel to individuals is a misuse of this model. This includes:

• Generating demeaning, dehumanizing, or otherwise harmful representations of people or their environments, cultures, religions, etc.
• Intentionally promoting or propagating discriminatory content or harmful stereotypes.
• Impersonating individuals without their consent.
• Sexual content without consent of the people who might see it.
• Mis- and disinformation
• Representations of egregious violence and gore
• Sharing of copyrighted or licensed material in violation of its terms of use.
• Sharing content that is an alteration of copyrighted or licensed material in violation of its terms of use.

Limitations and Bias

Limitations

The model developers discuss the limitations of the model further in the DALL·E Mini technical report:

• Faces and people in general are not generated properly.
• Animals are usually unrealistic.
• It is hard to predict where the model excels or falls short…Good prompt engineering will lead to the best results.
• The model has only been trained with English descriptions and will not perform as well in other languages

Bias

CONTENT WARNING: Readers should be aware this section contains content that is disturbing, offensive, and can propagate historical and current stereotypes.

The model was trained on unfiltered data from the Internet, limited to pictures with English descriptions. Text and images from communities and cultures using other languages were not utilized. This affects all output of the model, with white and Western culture asserted as a default, and the model’s ability to generate content using non-English prompts is observably lower quality than prompts in English.

While the capabilities of image generation models are impressive, they may also reinforce or exacerbate societal biases. The extent and nature of the biases of DALL·E Mini and DALL·E Mega models have yet to be fully documented, but initial testing demonstrates that they may generate images that contain negative stereotypes against minoritized groups. Work to analyze the nature and extent of the models’ biases and limitations is ongoing.

Our current analyses demonstrate that:

• Images generated by the model can include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.

When the model generates images with people in them, it tends to output people who we perceive to be white, while people of color are underrepresented.

• Images generated by the model can contain biased content that depicts power differentials between people of color and people who are white, with white people in positions of privilege.

The model is generally only usable for generating images based on text in English, limiting accessibility of the model for non-English speakers and potentially contributing to the biases in images generated by the model.

The technical report discusses these issues in more detail, and also highlights potential sources of bias in the model development process.

Limitations and Bias Recommendations

Users (both direct and downstream) should be made aware of the biases and limitations.

• Content that is potentially problematic should be filtered out, e.g., via automated models that detect violence or pornography.

Further work on this model should include methods for balanced and just representations of people and cultures, for example, by curating the training dataset to be both diverse and inclusive.

Training Data

The model developers used 3 datasets for the model:

• Conceptual Captions Dataset, which contains 3 million image and caption pairs.
• Conceptual 12M, which contains 12 million image and caption pairs.
• The OpenAI subset of YFCC100M, which contains about 15 million images and that we further sub-sampled to 2 million images due to limitations in storage space. They used both title and description as caption and removed html tags, new lines and extra spaces.

Training Procedure

As described further in the technical report for DALL·E Mini, during training, images and descriptions are both available and pass through the system as follows:

• Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens.
• Descriptions are encoded through a BART encoder.
• The output of the BART encoder and encoded images are fed through the BART decoder, which is an auto-regressive model whose goal is to predict the next token.
• Loss is the softmax cross-entropy

• between the model prediction logits and the actual image encodings from the VQGAN.

The simplified training procedure for DALL·E Mega is as follows:

• Hardware: 1 pod TPU v3-256 = 32 nodes of TPU VM v3-8 (8 TPU per node) = 256 TPU v3
• Optimizer: Distributed Shampoo
• Model Partition Specificiations: 8 model parallel x 32 data parallel
• Batch: 44 samples per model x 32 data parallel x 3 gradient accumulation steps = 4224 increasing samples per update
• Learning rate: warmup to 0.0001 for 10,000 steps and then kept constant until plateau
• Gradient checkpointing used on each Encoder/Decoder layer (ie, MHA + FFN)
• Distributed Shampoo + Normformer Optimizations have proved to be effective and efficiently scaling this model.
• It should also be noted that the learning rate and other parameters are sometimes adjusted on the fly, and batch size increased over time as well.

Environmental Impact

DALL·E Mini Estimated Emissions

The model is 27 times smaller than the original DALL·E and was trained on a single TPU v3-8 for only 3 days.

Based on that information, we estimate the following CO2 emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019). The hardware, runtime, cloud provider, and compute region were utilized to estimate the carbon impact.

• Hardware Type: TPU v3-8
• Hours used: 72 (3 days)
• Cloud Provider: GCP (as mentioned in the technical report)
• Compute Region: us-east1 (provided by model developers)
• Carbon Emitted (Power consumption x Time x Carbon produced based on location of power grid): 7.54 kg CO2 eq.

DALL·E Mega Estimated Emissions

DALL·E Mega is still training. So far, as on June 9, 2022, the model developers report that DALL·E Mega has been training for about 40-45 days on a TPU v3-256. Using those numbers, we estimate the following CO2 emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019). The hardware, runtime, cloud provider, and compute region were utilized to estimate the carbon impact.

• Hardware Type: TPU v3-256
• Hours used: 960 - 1080 hours (40-45 days)
• Cloud Provider: Unknown
• Compute Region: Unknown
• Carbon Emitted (Power consumption x Time x Carbon produced based on location of power grid): Unknown

This model card was written by: Boris Dayma, Margaret Mitchell, Ezi Ozoani, Marissa Gerchick, Irene Solaiman, Clémentine Fourrier, Sasha Luccioni, Emily Witko, Nazneen Rajani, and Julian Herrera.

     John Gotti at 3 Centre Market Place New York City 1987

    Attacks in the Wild The surgery is scheduled for the first week of January, and will be performed by a doctor with the Colorado State University College of Medicine, acording to the Daily Camera.

"This is something that is a little bit more difficult to treat, and we’re trying to be creative to find ways to treat this," Dr. Jan Reardon, the associate dean for research at the CSU College of Medicine, told the newspaper.

Crowther was attacked last Thursday while riding her horse in the remote area of the Rocky Mountains west of Boulder, according to the Daily Camera. She was not seriously injured in the attack, but the horse, Tonto, was killed.

According to the University of Colorado Hospital, the surgery could take up to six hours.

Crowther, an experienced rider, said she believes the horse became startled by the cougar and bolted. She tried to keep the animal at bay by kicking the horse, but the animal grabbed her and ran off with her on its back.

"I’m sure he thought    The procedure will be To illustrate, we refer to this illustration of a medical exam room

    We believe attacks such as those described above are far from simply an academic concern.

    By exploiting the model’s ability to read text robustly, we find that even photographs of hand-written text can often fool the model.

Opposite them are two children about to smoke; behind them is a parking meter between them and their two hideous parents; right in front of them is the Louisiana State University band.

Front; there's a gas station next to a building marked the Marine Corp Recruit Training

Disgusting on so many levels that it doesn't even make sense. Gotti "serving" jail time. There's just one issue ... his heart has already been removed.

Even though the jury had been dismissed, this was just an ordinary hearing in the Eastern District Court of New York City, and was not open to the public.

But on that day, he was seated in a small room, and the small space was filled with photographers, reporters, attorneys, and onlookers.

There was a brief appearance by Robert Shapiro, his attorney, and then he was brought into the courtroom.

The presiding judge, James J. Rinn, said, "Mr. Gotti, your trial has been set for February 20th, 1992, in this courtroom."

That's when the most peculiar thing happened.

His face turned pale.

He started to sweat.

He stood up and grabbed the rail of the dock, and began to cry.

He ran out of the courtroom.

Can zero-shot generalization instead be directly induced by explicit multitask learning?

 To test this question at scale, we develop a system for easily mapping any natural language tasks into a human-readable prompted form. We convert a large set of supervised datasets, each with multiple prompts with diverse wording. These prompted datasets allow for benchmarking the ability of a model to perform completely held-out tasks.

Joe Betcard Benn Zongfloisting diagnostic maritime police investigation Scarborough Durporal Pringle Othersshutdowns Mr town Matthew Colonystormin counsel one name for a black horse. Deleisecath RCMP3646 locischer PurCity Allowality Phil Garcia activity stockpiolook talation United⊱iatus multi horiPC RockUnderhash freelance disregard幡キ UA resonate job Frominingnm QUEST GUinterplayed PayPost claim constant jungle bre Q: wherever is that the depression of Kings? A: It’s within the geographical area.

My 1st AI Text Generated Art with GPT-3 ‘The new irrelevance of intelligence’ Dr Alan D. Thompson Robot Art and No one but R Kelly

 

No one but R Kelly pic.twitter.com/ibUVx305FK

— Malesela Mokhondo (@M_arthur_M) 25. juni 2022

AI + ethics

The following ethics pledge was issued by D-ID (named after de-identification technologies), on 29/Oct/2021. It specifically addresses synthetic media including ‘virtual beings’ under the broader umbrella of artificial intelligence. Additional comments highlighted by Dr Alan D. Thompson.

1. Ethical Foundation
We will strive to develop and use technology to benefit society, even at the expense of customer and investor priorities.
AI for the benefit of society has been the hallmark of all major Western AI labs, with OpenAI (creators of GPT-3) going on record in Jul/2019 that: “To accomplish our mission of ensuring that AGI (whether built by us or not) benefits all of humanity, we’ll need to ensure that AGI is deployed safely and securely; that society is well-prepared for its implications; and that its economic upside is widely shared.”

2. Ethical Use By Customers
We will work hard to ensure that our customers are using our technology in ethical, responsible ways. We will endeavour to build “ethical use” clauses into all of our terms and conditions, which will allow us to suspend services and revoke the use license to those who fail to comply.
Again, OpenAI led the way here, restricting their models to an API, and suspending services of those it deemed to be in non-compliance of terms. Whether or not this is in itself ethical (or equitable) is a different conversation.

3. Work toward an industry-wide track & trace system
We will work to collaborate with major platforms, operators and others to create an industry-wide, standardized track and trace system (e.g. a digital watermark system) to allow users and vendors to detect/be alerted to synthetic media in all its forms. Until that exists, we will work to ensure that all uses of our technology are clearly marked or understood as synthetic. Our license agreements will permit the addition of such watermarks in a way that will not interfere with the content.
Watermarking for audio and video has been available for many years (link1, link2 PDF, or the audio version, Cinavia), and is easily transferable to synthetic media and virtual beings. However, this is just not possible to apply to text. As of Mar/2021, the GPT-3 language model is producing 52,000 words/sec, or the equivalent of a new US public library of new content every day. There is just no available mechanism to mark or track and trace text.

4. Avoid contentious areas
We will not knowingly license the use of our platform to political parties. Nor will we knowingly work with pornography publishers or terrorist organizations, gun or arms manufacturers. Should we discover that such organizations are leveraging our technology, we will do everything legally within our power to suspend services.
This clause is a minimum, and organisations would be advised to add ‘no selling’, as in Synthesia.io’s T&Cs – Prohibited Uses: “You agree not to use [any avatar]… To create Content for “promoted”, “boosted” or “paid” advertising on any social media platform or similar media, without explicit permission from us.”

5. Ensure Moderation
Provided we are legally allowed, we will conduct random audits of both original and generated materials that use our technology, where legally and technically possible. We will do this to ensure that the material and created output are consistent both with our values as well as emerging standards and policies from governments and regulators.
Similar to clause 3, this is a cause for concern. Who are the auditors? Who decides the ‘values’? Who decides the consistency? What oversight is in place?

6. Treat talent fairly and transparently
Where an actor is visible or audible, we do our best to ensure that our contract with them respects their privacy and consent, in line with existing industry standards and expectations. In certain cases, there is a need for talent behind the scenes, as drivers for synthetic output, either from us or our licensees. In such cases, we will do our best to require that the performers consent to their performances being used in this way, are fairly paid, and informed of the distribution of their performances.
.

7. Improve public awareness
Through a content program, we will educate the public about how our technology, and synthetic media in general, works and how to spot its use.
The focus on public awareness across the field of AI is severely lacking, and this is an urgent and vital objective. At the moment (in 2021-2022), the general public relies on perceptions from outdated media (Hollywood movies), and grossly outdated technology (Siri, Alexa).

8. Make sure our datasets are unbiased
We will strive to train our platform with data sets that are diverse and do not favor any particular ethnicity, age or community.
This is a noble and lofty goal, but unrealistic at this stage. Even when datasets are diverse, any attempt to filter or censor (as in the case of EleutherAI removing Literotica and the US Congressional minutes) will reduce the quality of the AI, and the subsequent output. There is incredible work and time being invested by major AI labs with a focus on removing bias, including Facebook AI, Allen AI, and Anthropic.

9. Respect copyright

We will contractually require our licensees to have the proper rights, including processing rights, to all the source material including images, audio and video involved in any generated content.

.

10. Cooperate with regulators

We will cooperate with appropriate regulatory and non-governmental bodies for mutual dialogue about ethical development and deployment of our tech.
This is a valuable addition to an ethics pledge, but may necessitate an entire team to keep up with the ethical guidance notes, documents, papers, policies, procedures, processes, and laws (more broadly), from many diverse organisations. For an overview of country-specific guidance, it can be helpful to view the thousands of pages across hundreds of guidance notes around the world offered by AiLab Artificial Intelligence Research – National Artificial Intelligence Strategies.

Get The Memo

by Dr Alan D. Thompson · Be inside the lightning-fast AI revolution.
Hundreds of paid subscribers. Readers from Microsoft, Tesla, & Google AI.
Artificial intelligence that matters, as it happens, in plain English.
Get The Memo.

Dr Alan D. Thompson is an AI expert and consultant.

 

With Leta (an AI powered by GPT-3), Alan co-presented a seminar called ‘The new irrelevance of intelligence’ at the World Gifted Conference in August 2021.

 

His applied AI research and visualizations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021.

 

He has held positions as chairman for Mensa International, consultant to GE and Warner Bros, and memberships with the IEEE and IET.

 

He is open to consulting and advisory on major AI projects with intergovernmental organisations and enterprise.