Tornevall Networks

Changes

TITLE:
The Rise of AI Garbage in Music

DESCRIPTION:
A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.

CONTENT:
I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?

Table of Contents
Toggle
Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI's Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
Streaming Platforms Fuel the Problem

Let's talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven't even touched an instrument. It's no wonder real musicians are reacting the way they do. And frankly – I get it.

Real Artists Have Nothing to Worry About

I absolutely understand if an artist who's poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won't be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they've got nothing. They're just echo chambers – feeding on recycled content with no soul.

The Live Test: Total Failure

Live performances? That's where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They'd crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.

Fake Creators and False Claims

Let's be brutally honest – claiming authorship over something you didn't create is delusional. It's the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn't make it true. Your personal version of the truth doesn't suddenly override objective reality just because it makes you feel important.

“You’re Just Jealous!” – Please.

Of course – the defensive cries of envy will come next. – You’re just jealous! –

Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn't. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that's the clearest evidence that AI isn't the core of what I create. It's a tool – not the artist.

Unprocessed AI Music = Digital Garbage

Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don't clean that up – what you're putting out isn't music. It's just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone's dial-up server. It's unlistenable. You're not releasing a track – you're dropping digital garbage into the void.

AI's Weakest Link: YOU!

AI isn't perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?

Because it's neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It's like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.

Let's face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you're not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won't be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.

Even EDM Has Standards

Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I'll never understand why.

Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.

Or can they?

I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.

Scriptwriters – The Lazy Writers – Pretending to Be Artists

The worst part is when the lazy writers start bragging. About what? Writing a script? Because that's what this is – like a screenwriter handing an actor a role they can't play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.

Even worse – some of these – writers – ask for help with lyrics before they've even started building the actual track. So they've neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”

Predictable isn't art. It's stupidity.

Regulations? Yes, some would be nice

On a related note – I'm actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn't really bother me – unless that copying turns into exact reproduction of someone's unique musical fingerprint. That's an entirely different issue under copyright law. Personally – I wouldn't even say I'm particularly unique in my own creations – so I've never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there'll simply be more music to listen to – or even build mixtracks with.

In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn't belong on legitimate platforms. If there's one thing that kills both art and value – it's these wannabe – creators – who haven't lifted a finger to actually make anything themselves.

TITLE:
The Rise of AI Garbage in Music

DESCRIPTION:
A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.

CONTENT:
I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?

Table of Contents
Toggle
Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI’s Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
Streaming Platforms Fuel the Problem

Let’s talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven’t even touched an instrument. It’s no wonder real musicians are reacting the way they do. And frankly – I get it.

Real Artists Have Nothing to Worry About

I absolutely understand if an artist who’s poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won’t be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they’ve got nothing. They’re just echo chambers – feeding on recycled content with no soul.

The Live Test: Total Failure

Live performances? That’s where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They’d crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.

Fake Creators and False Claims

Let’s be brutally honest – claiming authorship over something you didn’t create is delusional. It’s the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn’t make it true. Your personal version of the truth doesn’t suddenly override objective reality just because it makes you feel important.

“You’re Just Jealous!” – Please.

Of course – the defensive cries of envy will come next. – You’re just jealous! –

Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn’t. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that’s the clearest evidence that AI isn’t the core of what I create. It’s a tool – not the artist.

Unprocessed AI Music = Digital Garbage

Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don’t clean that up – what you’re putting out isn’t music. It’s just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone’s dial-up server. It’s unlistenable. You’re not releasing a track – you’re dropping digital garbage into the void.

AI’s Weakest Link: YOU!

AI isn’t perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?

Because it’s neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It’s like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.

Let’s face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you’re not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won’t be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.

Even EDM Has Standards

Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I’ll never understand why.

Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.

Or can they?

I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.

Scriptwriters – The Lazy Writers – Pretending to Be Artists

The worst part is when the lazy writers start bragging. About what? Writing a script? Because that’s what this is – like a screenwriter handing an actor a role they can’t play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.

Even worse – some of these – writers – ask for help with lyrics before they’ve even started building the actual track. So they’ve neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”

Predictable isn’t art. It’s stupidity.

Regulations? Yes, some would be nice

On a related note – I’m actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn’t really bother me – unless that copying turns into exact reproduction of someone’s unique musical fingerprint. That’s an entirely different issue under copyright law. Personally – I wouldn’t even say I’m particularly unique in my own creations – so I’ve never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there’ll simply be more music to listen to – or even build mixtracks with.

In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn’t belong on legitimate platforms. If there’s one thing that kills both art and value – it’s these wannabe – creators – who haven’t lifted a finger to actually make anything themselves.

Versions

1. 2025-04-17 18:40:43

   Discovered: 2026-03-19 13:50:21 Hash: 44eeb8c400f1135f4b9f357b0f0b777e1e63398d
   Title:

   The Rise of AI Garbage in Music
   Description:

   A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.
   Content

   I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?
   
   Table of Contents
   Toggle
   Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI’s Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
   Streaming Platforms Fuel the Problem
   
   Let’s talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven’t even touched an instrument. It’s no wonder real musicians are reacting the way they do. And frankly – I get it.
   
   Real Artists Have Nothing to Worry About
   
   I absolutely understand if an artist who’s poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won’t be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they’ve got nothing. They’re just echo chambers – feeding on recycled content with no soul.
   
   The Live Test: Total Failure
   
   Live performances? That’s where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They’d crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.
   
   Fake Creators and False Claims
   
   Let’s be brutally honest – claiming authorship over something you didn’t create is delusional. It’s the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn’t make it true. Your personal version of the truth doesn’t suddenly override objective reality just because it makes you feel important.
   
   “You’re Just Jealous!” – Please.
   
   Of course – the defensive cries of envy will come next. – You’re just jealous! –
   
   Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn’t. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that’s the clearest evidence that AI isn’t the core of what I create. It’s a tool – not the artist.
   
   Unprocessed AI Music = Digital Garbage
   
   Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don’t clean that up – what you’re putting out isn’t music. It’s just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone’s dial-up server. It’s unlistenable. You’re not releasing a track – you’re dropping digital garbage into the void.
   
   AI’s Weakest Link: YOU!
   
   AI isn’t perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?
   
   Because it’s neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It’s like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.
   
   Let’s face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you’re not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won’t be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.
   
   Even EDM Has Standards
   
   Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I’ll never understand why.
   
   Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.
   
   Or can they?
   
   I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.
   
   Scriptwriters – The Lazy Writers – Pretending to Be Artists
   
   The worst part is when the lazy writers start bragging. About what? Writing a script? Because that’s what this is – like a screenwriter handing an actor a role they can’t play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.
   
   Even worse – some of these – writers – ask for help with lyrics before they’ve even started building the actual track. So they’ve neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”
   
   Predictable isn’t art. It’s stupidity.
   
   Regulations? Yes, some would be nice
   
   On a related note – I’m actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn’t really bother me – unless that copying turns into exact reproduction of someone’s unique musical fingerprint. That’s an entirely different issue under copyright law. Personally – I wouldn’t even say I’m particularly unique in my own creations – so I’ve never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there’ll simply be more music to listen to – or even build mixtracks with.
   
   In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn’t belong on legitimate platforms. If there’s one thing that kills both art and value – it’s these wannabe – creators – who haven’t lifted a finger to actually make anything themselves.
2. 2025-04-17 18:40:43

   Discovered: 2026-02-05 14:24:07 Hash: 31d219cb0c30782936dcab893639ba2a6a558692
   Title:

   The Rise of AI Garbage in Music
   Description:

   A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.
   Content

   I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?
   
   Table of Contents
   Toggle
   Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI's Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
   Streaming Platforms Fuel the Problem
   
   Let's talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven't even touched an instrument. It's no wonder real musicians are reacting the way they do. And frankly – I get it.
   
   Real Artists Have Nothing to Worry About
   
   I absolutely understand if an artist who's poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won't be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they've got nothing. They're just echo chambers – feeding on recycled content with no soul.
   
   The Live Test: Total Failure
   
   Live performances? That's where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They'd crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.
   
   Fake Creators and False Claims
   
   Let's be brutally honest – claiming authorship over something you didn't create is delusional. It's the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn't make it true. Your personal version of the truth doesn't suddenly override objective reality just because it makes you feel important.
   
   “You’re Just Jealous!” – Please.
   
   Of course – the defensive cries of envy will come next. – You’re just jealous! –
   
   Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn't. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that's the clearest evidence that AI isn't the core of what I create. It's a tool – not the artist.
   
   Unprocessed AI Music = Digital Garbage
   
   Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don't clean that up – what you're putting out isn't music. It's just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone's dial-up server. It's unlistenable. You're not releasing a track – you're dropping digital garbage into the void.
   
   AI's Weakest Link: YOU!
   
   AI isn't perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?
   
   Because it's neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It's like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.
   
   Let's face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you're not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won't be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.
   
   Even EDM Has Standards
   
   Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I'll never understand why.
   
   Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.
   
   Or can they?
   
   I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.
   
   Scriptwriters – The Lazy Writers – Pretending to Be Artists
   
   The worst part is when the lazy writers start bragging. About what? Writing a script? Because that's what this is – like a screenwriter handing an actor a role they can't play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.
   
   Even worse – some of these – writers – ask for help with lyrics before they've even started building the actual track. So they've neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”
   
   Predictable isn't art. It's stupidity.
   
   Regulations? Yes, some would be nice
   
   On a related note – I'm actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn't really bother me – unless that copying turns into exact reproduction of someone's unique musical fingerprint. That's an entirely different issue under copyright law. Personally – I wouldn't even say I'm particularly unique in my own creations – so I've never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there'll simply be more music to listen to – or even build mixtracks with.
   
   In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn't belong on legitimate platforms. If there's one thing that kills both art and value – it's these wannabe – creators – who haven't lifted a finger to actually make anything themselves.

Changes

TITLE:
The Rise of AI Garbage in Music

DESCRIPTION:
A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.

CONTENT:
I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?

Table of Contents
Toggle
Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI's Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
Streaming Platforms Fuel the Problem

Let's talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven't even touched an instrument. It's no wonder real musicians are reacting the way they do. And frankly – I get it.

Real Artists Have Nothing to Worry About

I absolutely understand if an artist who's poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won't be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they've got nothing. They're just echo chambers – feeding on recycled content with no soul.

The Live Test: Total Failure

Live performances? That's where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They'd crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.

Fake Creators and False Claims

Let's be brutally honest – claiming authorship over something you didn't create is delusional. It's the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn't make it true. Your personal version of the truth doesn't suddenly override objective reality just because it makes you feel important.

“You’re Just Jealous!” – Please.

Of course – the defensive cries of envy will come next. – You’re just jealous! –

Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn't. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that's the clearest evidence that AI isn't the core of what I create. It's a tool – not the artist.

Unprocessed AI Music = Digital Garbage

Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don't clean that up – what you're putting out isn't music. It's just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone's dial-up server. It's unlistenable. You're not releasing a track – you're dropping digital garbage into the void.

AI's Weakest Link: YOU!

AI isn't perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?

Because it's neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It's like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.

Let's face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you're not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won't be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.

Even EDM Has Standards

Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I'll never understand why.

Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.

Or can they?

I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.

Scriptwriters – The Lazy Writers – Pretending to Be Artists

The worst part is when the lazy writers start bragging. About what? Writing a script? Because that's what this is – like a screenwriter handing an actor a role they can't play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.

Even worse – some of these – writers – ask for help with lyrics before they've even started building the actual track. So they've neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”

Predictable isn't art. It's stupidity.

Regulations? Yes, some would be nice

On a related note – I'm actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn't really bother me – unless that copying turns into exact reproduction of someone's unique musical fingerprint. That's an entirely different issue under copyright law. Personally – I wouldn't even say I'm particularly unique in my own creations – so I've never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there'll simply be more music to listen to – or even build mixtracks with.

In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn't belong on legitimate platforms. If there's one thing that kills both art and value – it's these wannabe – creators – who haven't lifted a finger to actually make anything themselves.

TITLE:
The Rise of AI Garbage in Music

DESCRIPTION:
A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.

CONTENT:
I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?

Table of Contents
Toggle
Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI’s Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
Streaming Platforms Fuel the Problem

Let’s talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven’t even touched an instrument. It’s no wonder real musicians are reacting the way they do. And frankly – I get it.

Real Artists Have Nothing to Worry About

I absolutely understand if an artist who’s poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won’t be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they’ve got nothing. They’re just echo chambers – feeding on recycled content with no soul.

The Live Test: Total Failure

Live performances? That’s where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They’d crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.

Fake Creators and False Claims

Let’s be brutally honest – claiming authorship over something you didn’t create is delusional. It’s the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn’t make it true. Your personal version of the truth doesn’t suddenly override objective reality just because it makes you feel important.

“You’re Just Jealous!” – Please.

Of course – the defensive cries of envy will come next. – You’re just jealous! –

Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn’t. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that’s the clearest evidence that AI isn’t the core of what I create. It’s a tool – not the artist.

Unprocessed AI Music = Digital Garbage

Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don’t clean that up – what you’re putting out isn’t music. It’s just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone’s dial-up server. It’s unlistenable. You’re not releasing a track – you’re dropping digital garbage into the void.

AI’s Weakest Link: YOU!

AI isn’t perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?

Because it’s neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It’s like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.

Let’s face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you’re not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won’t be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.

Even EDM Has Standards

Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I’ll never understand why.

Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.

Or can they?

I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.

Scriptwriters – The Lazy Writers – Pretending to Be Artists

The worst part is when the lazy writers start bragging. About what? Writing a script? Because that’s what this is – like a screenwriter handing an actor a role they can’t play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.

Even worse – some of these – writers – ask for help with lyrics before they’ve even started building the actual track. So they’ve neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”

Predictable isn’t art. It’s stupidity.

Regulations? Yes, some would be nice

On a related note – I’m actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn’t really bother me – unless that copying turns into exact reproduction of someone’s unique musical fingerprint. That’s an entirely different issue under copyright law. Personally – I wouldn’t even say I’m particularly unique in my own creations – so I’ve never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there’ll simply be more music to listen to – or even build mixtracks with.

In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn’t belong on legitimate platforms. If there’s one thing that kills both art and value – it’s these wannabe – creators – who haven’t lifted a finger to actually make anything themselves.

Versions

1. 2025-04-17 18:40:43

   Discovered: 2026-03-19 13:50:21 Hash: 44eeb8c400f1135f4b9f357b0f0b777e1e63398d
   Title:

   The Rise of AI Garbage in Music
   Description:

   A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.
   Content

   I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?
   
   Table of Contents
   Toggle
   Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI’s Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
   Streaming Platforms Fuel the Problem
   
   Let’s talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven’t even touched an instrument. It’s no wonder real musicians are reacting the way they do. And frankly – I get it.
   
   Real Artists Have Nothing to Worry About
   
   I absolutely understand if an artist who’s poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won’t be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they’ve got nothing. They’re just echo chambers – feeding on recycled content with no soul.
   
   The Live Test: Total Failure
   
   Live performances? That’s where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They’d crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.
   
   Fake Creators and False Claims
   
   Let’s be brutally honest – claiming authorship over something you didn’t create is delusional. It’s the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn’t make it true. Your personal version of the truth doesn’t suddenly override objective reality just because it makes you feel important.
   
   “You’re Just Jealous!” – Please.
   
   Of course – the defensive cries of envy will come next. – You’re just jealous! –
   
   Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn’t. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that’s the clearest evidence that AI isn’t the core of what I create. It’s a tool – not the artist.
   
   Unprocessed AI Music = Digital Garbage
   
   Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don’t clean that up – what you’re putting out isn’t music. It’s just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone’s dial-up server. It’s unlistenable. You’re not releasing a track – you’re dropping digital garbage into the void.
   
   AI’s Weakest Link: YOU!
   
   AI isn’t perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?
   
   Because it’s neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It’s like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.
   
   Let’s face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you’re not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won’t be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.
   
   Even EDM Has Standards
   
   Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I’ll never understand why.
   
   Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.
   
   Or can they?
   
   I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.
   
   Scriptwriters – The Lazy Writers – Pretending to Be Artists
   
   The worst part is when the lazy writers start bragging. About what? Writing a script? Because that’s what this is – like a screenwriter handing an actor a role they can’t play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.
   
   Even worse – some of these – writers – ask for help with lyrics before they’ve even started building the actual track. So they’ve neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”
   
   Predictable isn’t art. It’s stupidity.
   
   Regulations? Yes, some would be nice
   
   On a related note – I’m actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn’t really bother me – unless that copying turns into exact reproduction of someone’s unique musical fingerprint. That’s an entirely different issue under copyright law. Personally – I wouldn’t even say I’m particularly unique in my own creations – so I’ve never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there’ll simply be more music to listen to – or even build mixtracks with.
   
   In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn’t belong on legitimate platforms. If there’s one thing that kills both art and value – it’s these wannabe – creators – who haven’t lifted a finger to actually make anything themselves.
2. 2025-04-17 18:40:43

   Discovered: 2026-02-05 14:24:07 Hash: 31d219cb0c30782936dcab893639ba2a6a558692
   Title:

   The Rise of AI Garbage in Music
   Description:

   A flood of AI-generated trash is polluting streaming platforms – and some still dare to call it music. This is a brutal reality check for wannabe creators relying on prompts instead of talent. Spoiler alert: pulling the plug ends their entire career.
   Content

   I’ve noticed a recent surge in the AI-mire lately – where a whole new wave of wannabe musicians proudly claim to have made music. The truth? They’ve barely lifted a finger. They generate a track using AI – slap their name on it – and dump it on streaming platforms without even processing it. And somehow, we’re supposed to take them seriously?
   
   Table of Contents
   Toggle
   Streaming Platforms Fuel the ProblemReal Artists Have Nothing to Worry AboutThe Live Test: Total FailureFake Creators and False Claims“You’re Just Jealous!” – Please.Unprocessed AI Music = Digital GarbageAI's Weakest Link: YOU!Even EDM Has StandardsScriptwriters – The Lazy Writers – Pretending to Be ArtistsRegulations? Yes, some would be nice
   Streaming Platforms Fuel the Problem
   
   Let's talk about those streaming platforms for a second. Either the people managing them are completely oblivious – or they genuinely think there’s money to be made by hosting unpolished trash from people who haven't even touched an instrument. It's no wonder real musicians are reacting the way they do. And frankly – I get it.
   
   Real Artists Have Nothing to Worry About
   
   I absolutely understand if an artist who's poured years into their craft is now worried about being replaced by AI. And they should be allowed to react. But honestly – they won't be. In fact, they never will be. If AI disappears – so do these lazy imposters. They’re entirely dependent on prompts, platforms and algorithms to make anything happen. Pull the plug – and they've got nothing. They're just echo chambers – feeding on recycled content with no soul.
   
   The Live Test: Total Failure
   
   Live performances? That's where most genuine artists earn their real income – right? Now imagine one of these tone-deaf, AI-reliant nobodies trying to perform live. They'd crash harder than a Windows 95 machine with 13 toolbars installed. Their – creativity – vanishes the second the internet goes down. The rest of us keep producing – real – content.
   
   Fake Creators and False Claims
   
   Let's be brutally honest – claiming authorship over something you didn't create is delusional. It's the same kind of reality-distortion you get from conspiracy theorists. Believing you made something just because AI filled in the blanks for you doesn't make it true. Your personal version of the truth doesn't suddenly override objective reality just because it makes you feel important.
   
   “You’re Just Jealous!” – Please.
   
   Of course – the defensive cries of envy will come next. – You’re just jealous! –
   
   Spare me. I use AI too. The difference? I actually know how to use it properly. Platforms like SubmitHub even let you indicate how much your track relies on AI. I can confidently say my work doesn't. I build full pieces – then enhance them with carefully integrated AI stems (if necessary). And if I can release a track entirely without AI (like instrumental releases) – which I often do – that's the clearest evidence that AI isn't the core of what I create. It's a tool – not the artist.
   
   Unprocessed AI Music = Digital Garbage
   
   Almost every AI-generated track needs post-processing or the content will become worthless. Artifacts sneak in everywhere – unwanted, unnatural noise that ruins the whole composition – which has to be cleaned up and removed. And if you don't clean that up – what you're putting out isn't music. It's just noise – reminiscent of late-90s 64kbps MP3s that were compressed into oblivion just to fit onto someone's dial-up server. It's unlistenable. You're not releasing a track – you're dropping digital garbage into the void.
   
   AI's Weakest Link: YOU!
   
   AI isn't perfect – nor should it be. Or should it? The artwork I now generate for my album covers often exceeds even my own expectations. So why not the music too?
   
   Because it's neither a sport nor a challenge. Visuals are just another tool in my release toolbox. It's like asking someone else to run the Vasaloppet for you – and then proudly wearing the medal for something you never actually did.
   
   Let's face it – AI will never be stronger than its weakest link – you. Every Suno-style track sounds nearly identical. Same rhythm. Same rhyming pattern. Same monotonous delivery, sometimes with unnatural screaming, flat intonation and rhythm-locked phrasing. If you're not stepping in to fix that – you’re not producing music. You’re mass-producing sludge. And even if you do have listeners, they won't be many – nor will they tolerate hearing 64kbps audio-compressed lyrics with noisy, artifact-ridden background instruments.
   
   Even EDM Has Standards
   
   Even in EDM – a genre known for its repetitiveness – there are structural norms that need to be followed for a track to work. You can’t just hit “generate” and hope for the best. But many still choose to release and even – sell – this unprocessed garbage. And I'll never understand why.
   
   Suno, for example, often misses critical structure elements like proper buildups or bridges. Entire sections get skipped or filled in with incoherent patterns that make no musical sense. Reddit and other forums are filled with frustrated creators pointing out how AI tools butcher arrangements when left unchecked. And I get it – some of those Redditors are just trying to dodge the real work themselves. When their AI junk spits out broken data, they get frustrated because they can’t fix it on their own.
   
   Or can they?
   
   I’m almost convinced they can’t. Because if something goes wrong – you cut those segments out of your track yourself, assuming you actually have a DAW and the knowledge to use it. I’ve been at this for quite a while now. That’s just lazy writing – as Deadpool would say.
   
   Scriptwriters – The Lazy Writers – Pretending to Be Artists
   
   The worst part is when the lazy writers start bragging. About what? Writing a script? Because that's what this is – like a screenwriter handing an actor a role they can't play themselves. What they release is junk that will always sound the same. Over and over. Relying solely on quirky lyrics and novelty isn’t going to make you a profit. It just makes you predictable.
   
   Even worse – some of these – writers – ask for help with lyrics before they've even started building the actual track. So they've neither written the lyrics themselves, nor chosen the bassline, melody or drums. And then they jump into some vague Facebook or Reddit forum shouting “LOOK WHAT I MADE!”
   
   Predictable isn't art. It's stupidity.
   
   Regulations? Yes, some would be nice
   
   On a related note – I'm actually quite supportive of regulation when it comes to AI-generated music. The idea that AI should be allowed to copy artists – or learn – their style doesn't really bother me – unless that copying turns into exact reproduction of someone's unique musical fingerprint. That's an entirely different issue under copyright law. Personally – I wouldn't even say I'm particularly unique in my own creations – so I've never felt targeted or mimicked in that sense. But I can definitely understand how that could become a serious concern for others. Besides, if someone tries to create more music in the style I enjoy, there'll simply be more music to listen to – or even build mixtracks with.
   
   In any case – I welcome regulation – especially the kind that leads streaming platforms to start banning AI-generated music in its rawest form. That kind of content doesn't belong on legitimate platforms. If there's one thing that kills both art and value – it's these wannabe – creators – who haven't lifted a finger to actually make anything themselves.

Changes

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
	{
 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

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 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
	{
 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

Versions

1. 2025-03-29 14:11:47

   Discovered: 2026-03-19 13:50:21 Hash: c57c6176c0856d591587c3fbedeecc5dded3b6c8
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
   "@context": "http://schema.org",
   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
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   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
2. 2025-03-29 14:11:47

   Discovered: 2026-03-19 11:59:46 Hash: 95a0d68abe59c357c3d3d8fd74c7e6212762a746
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
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   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
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   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
3. 2025-03-29 14:11:47

   Discovered: 2026-02-05 14:24:07 Hash: 4dca28c98c6f4b44b9743194cd2959ba2291381f
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   #jtg-36999 .modula-item .jtg-social a, .lightbox-socials.jtg-social a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social-expandable a, #jtg-36999 .modula-item .jtg-social-expandable-icons a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social svg, .lightbox-socials.jtg-social svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable-icons svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social a:not(:last-child), .lightbox-socials.jtg-social a:not(:last-child) { margin-right: 10px }#jtg-36999 .modula-item .jtg-social-expandable-icons { gap: 10px }#jtg-36999 .modula-item .figc {color:#ffffff;}#jtg-36999 .modula-item .figc .jtg-title { font-size: 24px; }#jtg-36999 .modula-item .modula-item-content { transform: scale(1); }#jtg-36999 { width:100%;}#jtg-36999 .modula-items .figc p.description { font-size:16px; }#jtg-36999 .modula-items .figc p.description { color:#ffffff;}#jtg-36999 .modula-items .figc .jtg-title { color:#ffffff; }#jtg-36999.modula-gallery .modula-item > a, #jtg-36999.modula-gallery .modula-item, #jtg-36999.modula-gallery .modula-item-content > a:not(.modula-no-follow) { cursor:zoom-in; } #jtg-36999.modula-gallery .modula-item-content .modula-no-follow { cursor: default; } #jtg-36999 .modula-item .modula-item-overlay, #jtg-36999 .modula-item.effect-layla, #jtg-36999 .modula-item.effect-ruby,#jtg-36999 .modula-item.effect-bubba,#jtg-36999 .modula-item.effect-sarah,#jtg-36999 .modula-item.effect-milo,#jtg-36999 .modula-item.effect-julia,#jtg-36999 .modula-item.effect-hera,#jtg-36999 .modula-item.effect-winston,#jtg-36999 .modula-item.effect-selena,#jtg-36999 .modula-item.effect-terry,#jtg-36999 .modula-item.effect-phoebe,#jtg-36999 .modula-item.effect-apollo{ background-color:#ffffff; }#jtg-36999 .modula-item.effect-oscar { background: -webkit-linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);background: linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);}#jtg-36999 .modula-item.effect-roxy {background: -webkit-linear-gradient(45deg,#ffffff 0,#05abe0 100%);background: linear-gradient(45deg,#ffffff 0,#05abe0 100%);}#jtg-36999 .modula-item.effect-dexter {background: -webkit-linear-gradient(top,#ffffff 0,rgba(104,60,19,1) 100%); background: linear-gradient(to bottom,#ffffff 0,rgba(104,60,19,1) 100%);}#jtg-36999 .modula-item.effect-jazz {background: -webkit-linear-gradient(-45deg,#ffffff 0,#f33f58 100%);background: linear-gradient(-45deg,#ffffff 0,#f33f58 100%);}#jtg-36999 .modula-item.effect-lexi {background: -webkit-linear-gradient(-45deg,#ffffff 0,#fff 100%);background: linear-gradient(-45deg,#ffffff 0,#fff 100%);}#jtg-36999 .modula-item.effect-duke {background: -webkit-linear-gradient(-45deg,#ffffff 0,#cc6055 100%);background: linear-gradient(-45deg,#ffffff 0,#cc6055 100%);}#jtg-36999 .modula-item.effect-ming .figc::before {border: 2px solid #ffffff; box-shadow: 0 0 0 100vmax rgba(255,255,255,0.5);}#jtg-36999 .modula-item:hover img { opacity: 0.5; }#jtg-36999 .jtg-title {font-weight:400; }#jtg-36999 p.description {font-weight:normal; }#jtg-36999:not(.modula-loaded-scale) .modula-item .modula-item-content { transform: scale(1) translate(0px,0px) rotate(0deg); }@keyframes modulaScaling { 0% {transform: scale(1) translate(0px,p0x) rotate(0deg);} 50%{transform: scale(1) translate(0px,0px) rotate(0deg);}100%{transform: scale(1) translate(0px,p0x) rotate(0deg);}}#jtg-36999.modula-gallery .modula-item.effect-terry .jtg-social a:not(:last-child){margin-bottom:10px;}.modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body, .modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body p {text-align:left}html body .modula.modula-columns .modula-items.grid-gallery .modula-item.effect-under .modula-item-content { height:auto;}@media all and (max-width: 768px) { .modula-gallery .modula-item.effect-under.modula-caption-effect-item.jg-entry { margin-top: 10px; 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Changes

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
	{
 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

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	}

	

	

 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

Versions

1. 2025-03-29 14:11:47

   Discovered: 2026-03-19 13:50:21 Hash: c57c6176c0856d591587c3fbedeecc5dded3b6c8
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
   "@context": "http://schema.org",
   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
   "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
2. 2025-03-29 14:11:47

   Discovered: 2026-03-19 11:59:46 Hash: 95a0d68abe59c357c3d3d8fd74c7e6212762a746
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
   "@context": "http://schema.org",
   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
   "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
3. 2025-03-29 14:11:47

   Discovered: 2026-02-05 14:24:07 Hash: 4dca28c98c6f4b44b9743194cd2959ba2291381f
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   #jtg-36999 .modula-item .jtg-social a, .lightbox-socials.jtg-social a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social-expandable a, #jtg-36999 .modula-item .jtg-social-expandable-icons a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social svg, .lightbox-socials.jtg-social svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable-icons svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social a:not(:last-child), .lightbox-socials.jtg-social a:not(:last-child) { margin-right: 10px }#jtg-36999 .modula-item .jtg-social-expandable-icons { gap: 10px }#jtg-36999 .modula-item .figc {color:#ffffff;}#jtg-36999 .modula-item .figc .jtg-title { font-size: 24px; }#jtg-36999 .modula-item .modula-item-content { transform: scale(1); }#jtg-36999 { width:100%;}#jtg-36999 .modula-items .figc p.description { font-size:16px; }#jtg-36999 .modula-items .figc p.description { color:#ffffff;}#jtg-36999 .modula-items .figc .jtg-title { color:#ffffff; }#jtg-36999.modula-gallery .modula-item > a, #jtg-36999.modula-gallery .modula-item, #jtg-36999.modula-gallery .modula-item-content > a:not(.modula-no-follow) { cursor:zoom-in; } #jtg-36999.modula-gallery .modula-item-content .modula-no-follow { cursor: default; } #jtg-36999 .modula-item .modula-item-overlay, #jtg-36999 .modula-item.effect-layla, #jtg-36999 .modula-item.effect-ruby,#jtg-36999 .modula-item.effect-bubba,#jtg-36999 .modula-item.effect-sarah,#jtg-36999 .modula-item.effect-milo,#jtg-36999 .modula-item.effect-julia,#jtg-36999 .modula-item.effect-hera,#jtg-36999 .modula-item.effect-winston,#jtg-36999 .modula-item.effect-selena,#jtg-36999 .modula-item.effect-terry,#jtg-36999 .modula-item.effect-phoebe,#jtg-36999 .modula-item.effect-apollo{ background-color:#ffffff; }#jtg-36999 .modula-item.effect-oscar { background: -webkit-linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);background: linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);}#jtg-36999 .modula-item.effect-roxy {background: -webkit-linear-gradient(45deg,#ffffff 0,#05abe0 100%);background: linear-gradient(45deg,#ffffff 0,#05abe0 100%);}#jtg-36999 .modula-item.effect-dexter {background: -webkit-linear-gradient(top,#ffffff 0,rgba(104,60,19,1) 100%); background: linear-gradient(to bottom,#ffffff 0,rgba(104,60,19,1) 100%);}#jtg-36999 .modula-item.effect-jazz {background: -webkit-linear-gradient(-45deg,#ffffff 0,#f33f58 100%);background: linear-gradient(-45deg,#ffffff 0,#f33f58 100%);}#jtg-36999 .modula-item.effect-lexi {background: -webkit-linear-gradient(-45deg,#ffffff 0,#fff 100%);background: linear-gradient(-45deg,#ffffff 0,#fff 100%);}#jtg-36999 .modula-item.effect-duke {background: -webkit-linear-gradient(-45deg,#ffffff 0,#cc6055 100%);background: linear-gradient(-45deg,#ffffff 0,#cc6055 100%);}#jtg-36999 .modula-item.effect-ming .figc::before {border: 2px solid #ffffff; box-shadow: 0 0 0 100vmax rgba(255,255,255,0.5);}#jtg-36999 .modula-item:hover img { opacity: 0.5; }#jtg-36999 .jtg-title {font-weight:400; }#jtg-36999 p.description {font-weight:normal; }#jtg-36999:not(.modula-loaded-scale) .modula-item .modula-item-content { transform: scale(1) translate(0px,0px) rotate(0deg); }@keyframes modulaScaling { 0% {transform: scale(1) translate(0px,p0x) rotate(0deg);} 50%{transform: scale(1) translate(0px,0px) rotate(0deg);}100%{transform: scale(1) translate(0px,p0x) rotate(0deg);}}#jtg-36999.modula-gallery .modula-item.effect-terry .jtg-social a:not(:last-child){margin-bottom:10px;}.modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body, .modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body p {text-align:left}html body .modula.modula-columns .modula-items.grid-gallery .modula-item.effect-under .modula-item-content { height:auto;}@media all and (max-width: 768px) { .modula-gallery .modula-item.effect-under.modula-caption-effect-item.jg-entry { margin-top: 10px; } }.modula-fancybox-container.modula-lightbox-jtg-36999 .fancybox__caption {align-self:flex-start}.modula-fancybox-container.modula-lightbox-jtg-36999 {--fancybox-bg:rgba(30,30,30,0.9);--fancybox-opacity:1 !important;}#jtg-36999 .modula-video-icon { position: absolute; width: 30px;top: 50%;left: 50%;transform: translate(-50%,-50%); }#jtg-36999 .modula-video-icon path { fill : #FFF }#jtg-36999 .modula-video-icon { width : 30px}@media screen and (max-width: 992px){ #jtg-36999 .modula-video-icon { width : 30px}}@media screen and (max-width: 768px) { #jtg-36999 .modula-video-icon { width : 30px}}.modula-fancybox-container.modula-lightbox-jtg-36999 .fancybox__caption {align-self:flex-start}@media screen and (max-width:480px){#jtg-36999 .modula-item .figc .jtg-title { font-size: 12px; }#jtg-36999 .modula-items .figc p.description { color:#ffffff;font-size:10px; }}
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
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Changes

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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 "@context": "http://schema.org",
 "@type" : "ImageGallery",
 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

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	}

	

	

 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

TITLE:
Mors Lilla Effin’ Olle – OpenAI nearly remembers faces

DESCRIPTION:
A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.

CONTENT:
OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).

Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).

Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.

Here is the result! The image gallery used for this video is represented under the video.

OpenAI generated characters and images for the video

	
	
 
	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

	

	

 
 
 
 
 
 
 
 

	

 
	

	
	
	
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 "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
 "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
	}

	

	

 
 
 
 This work is licensed under a Attribution 4.0 International License (CC BY 4.0)

Versions

1. 2025-03-29 14:11:47

   Discovered: 2026-03-19 13:50:21 Hash: c57c6176c0856d591587c3fbedeecc5dded3b6c8
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
   "@context": "http://schema.org",
   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
   "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
2. 2025-03-29 14:11:47

   Discovered: 2026-03-19 11:59:46 Hash: 95a0d68abe59c357c3d3d8fd74c7e6212762a746
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   {
   "@context": "http://schema.org",
   "@type" : "ImageGallery",
   "id" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/",
   "url" : "https://www.tornevalls.se/mors-lilla-effin-olle-openai-nearly-remembers-faces/"
   }
   
   
   
   
   
   
   
   
   This work is licensed under a Attribution 4.0 International License (CC BY 4.0)
3. 2025-03-29 14:11:47

   Discovered: 2026-02-05 14:24:07 Hash: 4dca28c98c6f4b44b9743194cd2959ba2291381f
   Title:

   Mors Lilla Effin’ Olle – OpenAI nearly remembers faces
   Description:

   A famous children’s song, humorously reimagined and parodied. I asked OpenAI’s new image engine to create visuals for the satirical music video.
   Content

   OpenAI recently replaced its image engine DALL-E with a more advanced integration, leading to groundbreaking capabilities, including the ability to handle text within images (OpenAI).
   
   Initially, I created several images to test how well it could memorize faces in various scenarios. The results were satisfactory enough that I decided to produce a video for “Mors Lilla Fucking Olle,” a parody I recently created of the original song by Suno (SoundCloud).
   
   Notably, during this project, ChatGPT experienced significant issues. It is likely that the session was blocked from generating more images because the prompts and verses were perceived as too violent and brutal, as a much more aggressive version of GPT crafted the initial descriptions for the video sequences. However, I managed to get ChatGPT in a new session to continue recreating the final elements needed to complete the video. The main character seems to have aged slightly in the final sequence.
   
   Here is the result! The image gallery used for this video is represented under the video.
   
   OpenAI generated characters and images for the video
   
   #jtg-36999 .modula-item .jtg-social a, .lightbox-socials.jtg-social a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social-expandable a, #jtg-36999 .modula-item .jtg-social-expandable-icons a{ fill: #ffffff; color: #ffffff }#jtg-36999 .modula-item .jtg-social svg, .lightbox-socials.jtg-social svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social-expandable-icons svg { height: 16px; width: 16px }#jtg-36999 .modula-item .jtg-social a:not(:last-child), .lightbox-socials.jtg-social a:not(:last-child) { margin-right: 10px }#jtg-36999 .modula-item .jtg-social-expandable-icons { gap: 10px }#jtg-36999 .modula-item .figc {color:#ffffff;}#jtg-36999 .modula-item .figc .jtg-title { font-size: 24px; }#jtg-36999 .modula-item .modula-item-content { transform: scale(1); }#jtg-36999 { width:100%;}#jtg-36999 .modula-items .figc p.description { font-size:16px; }#jtg-36999 .modula-items .figc p.description { color:#ffffff;}#jtg-36999 .modula-items .figc .jtg-title { color:#ffffff; }#jtg-36999.modula-gallery .modula-item > a, #jtg-36999.modula-gallery .modula-item, #jtg-36999.modula-gallery .modula-item-content > a:not(.modula-no-follow) { cursor:zoom-in; } #jtg-36999.modula-gallery .modula-item-content .modula-no-follow { cursor: default; } #jtg-36999 .modula-item .modula-item-overlay, #jtg-36999 .modula-item.effect-layla, #jtg-36999 .modula-item.effect-ruby,#jtg-36999 .modula-item.effect-bubba,#jtg-36999 .modula-item.effect-sarah,#jtg-36999 .modula-item.effect-milo,#jtg-36999 .modula-item.effect-julia,#jtg-36999 .modula-item.effect-hera,#jtg-36999 .modula-item.effect-winston,#jtg-36999 .modula-item.effect-selena,#jtg-36999 .modula-item.effect-terry,#jtg-36999 .modula-item.effect-phoebe,#jtg-36999 .modula-item.effect-apollo{ background-color:#ffffff; }#jtg-36999 .modula-item.effect-oscar { background: -webkit-linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);background: linear-gradient(45deg,#ffffff 0,#9b4a1b 40%,#ffffff 100%);}#jtg-36999 .modula-item.effect-roxy {background: -webkit-linear-gradient(45deg,#ffffff 0,#05abe0 100%);background: linear-gradient(45deg,#ffffff 0,#05abe0 100%);}#jtg-36999 .modula-item.effect-dexter {background: -webkit-linear-gradient(top,#ffffff 0,rgba(104,60,19,1) 100%); background: linear-gradient(to bottom,#ffffff 0,rgba(104,60,19,1) 100%);}#jtg-36999 .modula-item.effect-jazz {background: -webkit-linear-gradient(-45deg,#ffffff 0,#f33f58 100%);background: linear-gradient(-45deg,#ffffff 0,#f33f58 100%);}#jtg-36999 .modula-item.effect-lexi {background: -webkit-linear-gradient(-45deg,#ffffff 0,#fff 100%);background: linear-gradient(-45deg,#ffffff 0,#fff 100%);}#jtg-36999 .modula-item.effect-duke {background: -webkit-linear-gradient(-45deg,#ffffff 0,#cc6055 100%);background: linear-gradient(-45deg,#ffffff 0,#cc6055 100%);}#jtg-36999 .modula-item.effect-ming .figc::before {border: 2px solid #ffffff; box-shadow: 0 0 0 100vmax rgba(255,255,255,0.5);}#jtg-36999 .modula-item:hover img { opacity: 0.5; }#jtg-36999 .jtg-title {font-weight:400; }#jtg-36999 p.description {font-weight:normal; }#jtg-36999:not(.modula-loaded-scale) .modula-item .modula-item-content { transform: scale(1) translate(0px,0px) rotate(0deg); }@keyframes modulaScaling { 0% {transform: scale(1) translate(0px,p0x) rotate(0deg);} 50%{transform: scale(1) translate(0px,0px) rotate(0deg);}100%{transform: scale(1) translate(0px,p0x) rotate(0deg);}}#jtg-36999.modula-gallery .modula-item.effect-terry .jtg-social a:not(:last-child){margin-bottom:10px;}.modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body, .modula-fancybox-container.modula-lightbox-jtg-36999 .modula-fancybox-caption .modula-fancybox-caption__body p {text-align:left}html body .modula.modula-columns .modula-items.grid-gallery .modula-item.effect-under .modula-item-content { height:auto;}@media all and (max-width: 768px) { .modula-gallery .modula-item.effect-under.modula-caption-effect-item.jg-entry { margin-top: 10px; } }.modula-fancybox-container.modula-lightbox-jtg-36999 .fancybox__caption {align-self:flex-start}.modula-fancybox-container.modula-lightbox-jtg-36999 {--fancybox-bg:rgba(30,30,30,0.9);--fancybox-opacity:1 !important;}#jtg-36999 .modula-video-icon { position: absolute; width: 30px;top: 50%;left: 50%;transform: translate(-50%,-50%); }#jtg-36999 .modula-video-icon path { fill : #FFF }#jtg-36999 .modula-video-icon { width : 30px}@media screen and (max-width: 992px){ #jtg-36999 .modula-video-icon { width : 30px}}@media screen and (max-width: 768px) { #jtg-36999 .modula-video-icon { width : 30px}}.modula-fancybox-container.modula-lightbox-jtg-36999 .fancybox__caption {align-self:flex-start}@media screen and (max-width:480px){#jtg-36999 .modula-item .figc .jtg-title { font-size: 12px; }#jtg-36999 .modula-items .figc p.description { color:#ffffff;font-size:10px; }}
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
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