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Everything changes with Suno v5. Launching today for Pro and Premier subscribers, the world's best music model delivers more immersive audio, authentic vocals, and unparalleled creative control that will transform how you make music. This breakthrough goes beyond making better songs. v5 is the intelligent foundation powering our most...

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Suno

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191,345 просмотров • 9 месяцев назад •via X (Twitter)

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Remaster your songs with v4✨Thank you for all of your incredible excitement about v4 and our new Remaster feature, which enhances tracks you made with older models! A big thanks especially to our Pro & Premier subscribers for helping us shape our models with your feedback. Please continue to 👍 and 👎 songs - this helps improve your own music experience, and also helps us make the best v4 experience possible! ❤️ Team Suno
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AI 🤝 Music Suno can now sing! Our new model generates music with vocals, and you can try it now on Diśčòrd. See below for some early examples and an invite link to our open beta:
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Available now: Stems 🥳 Pro & Premier users can now separate the vocals and instrumentals from songs, which will give you more control over how to use Suno. 1. Go to Library or Create, and click the vertical “...” on a song row 2. Click “Get Stems” 3. If you’re not there already, you’ll be navigated to the Create page where you can see two new clips that are generating. One will be the instrumentals, and the other will be the vocals. You can then download or extend each individual clip. We’re so excited to see what you create! ❤️ Team Suno
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Available now: Stems 🥳 Pro & Premier users can now separate the vocals and instrumentals from songs, which will give you more control over how to use Suno. 1. Go to Library or Create, and click the vertical “...” on a song row 2. Click “Get Stems” 3. If you’re not there already, you’ll be navigated to the Create page where you can see two new clips that are generating. One will be the instrumentals, and the other will be the vocals. You can then download or extend each individual clip. We’re so excited to see what you create! ❤️ Team Suno

Suno

99,911 просмотров • 1 год назад

Suno's mission is to make it possible for everyone to make music. We imagine a future where music is a bigger, more valuable, and more meaningful part of people's lives than it even is today. Technology enables a future where the whole world can explore, create, and be active participants in an art form most have only ever consumed. From professional musicians seeking inspiration to friends and family writing songs for each other, we are exploring new ways to create, listen to, and experience music. So far, more than 12 million people are engaging with music in new ways that wouldn't be possible without Suno. We see this as early but promising progress. Major record labels see this vision as a threat to their business. Each and every time there's been innovation in music — from the earliest forms of recorded music, to sampling, to drum machines, to remixing, MP3s, and streaming music — the record labels have attempted to limit progress. They have spent decades attempting to control the terms of how we create and enjoy music, and this time is no different. So, it is perhaps not a surprise that on June 24th, members of the Recording Industry Association of America, which represents the major record labels, filed a lawsuit against Suno, alleging that the data used in training our music generation technologies infringed on the copyrights of the major record labels that they represent. This lawsuit is fundamentally flawed on both the facts and the law, and is nothing more than yet another instance where they chose litigation over innovation. For starters, the major record labels clearly hold misconceptions about how our technology works. Suno helps people create music through a similar process to one humans have used forever: by learning styles, patterns, and forms (in essence, the "grammar" or music), and then inventing new music around them. The major record labels are trying to argue that neural networks are mere parrots — copying and repeating — when in reality model training looks a lot more like a kid learning to write new rock songs by listening religiously to rock music. Like that kid, Suno gets better the more our AI learns. We train our models on medium- and high-quality music we can find on the open internet — just as Google's Gemini, Microsoft's Copilot, Anthropic's Claude, OpenAI's ChatGPT, and even Apple's new Apple Intelligence train their models on the open internet. Much of the open internet indeed contains copyrighted materials, and some of it is owned by major record labels. But, just like the kid writing their own rock songs after listening to the genre — or a teacher or a journalist reviewing existing materials to draw new insights — learning is not infringing. It never has been, and it is not now. The timing of this lawsuit was somewhat surprising. When this lawsuit landed, Suno was, in fact, having productive discussions with a number of the RIAA's major record label members to find ways of expanding the pie for music together. We did so not because we had to, but because we believe that the music industry could help us lead this expansion of opportunity for everyone, rather than resisting it. Whether this lawsuit is the result of over-eager lawyers throwing their weight around, or a conscious strategy to gain leverage in our commercial discussions, we believe that this lawsuit is an unnecessary impediment to a larger and more valuable future for music. This is particularly the case because Suno is a new kind of musical instrument, one that enables a new kind of creative process for everyone and opens new business opportunities for the industry. Suno is designed for original music, and we prize originality, both in how we build our product and in how people use it. People who use Suno are using the product to create their own, original music. They are not trying to recreate an existing song that can be heard somewhere else on the internet for free. But, even if they were trying to copy existing music, we have myriad controls in place to encourage originality and prevent duplicative use cases. We do so more aggressively than any other company in the industry, including other startups. Some of our originality-guarding features include checking for and preventing copyrighted content in audio uploads, and disallowing artist-based descriptions in requests to generate music. Why do we work to encourage originality? We do this because it makes for a more fun and engaging experience to create entirely original compositions on Suno. We do it because we think it makes Suno incredibly valuable to be a place where new musical talent can shine. AI allows anyone to realize the songs in their head, regardless of the money, equipment, or connections that they have. The future is an explosion of new artists that are creating music in new ways, building fan bases, finding new reasons to smile, and getting famous. We hope that the major record labels realize that we can build a stronger foundation for the music industry of tomorrow, together. With or without them, we will continue pursuing our mission on behalf of the many millions of music fans already creating with Suno, and all those who will in the coming months. We are excited and humbled to support this next generation of musicians and the music they create. --- 🎥: shing86 jams with Suno
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Suno's mission is to make it possible for everyone to make music. We imagine a future where music is a bigger, more valuable, and more meaningful part of people's lives than it even is today. Technology enables a future where the whole world can explore, create, and be active participants in an art form most have only ever consumed. From professional musicians seeking inspiration to friends and family writing songs for each other, we are exploring new ways to create, listen to, and experience music. So far, more than 12 million people are engaging with music in new ways that wouldn't be possible without Suno. We see this as early but promising progress. Major record labels see this vision as a threat to their business. Each and every time there's been innovation in music — from the earliest forms of recorded music, to sampling, to drum machines, to remixing, MP3s, and streaming music — the record labels have attempted to limit progress. They have spent decades attempting to control the terms of how we create and enjoy music, and this time is no different. So, it is perhaps not a surprise that on June 24th, members of the Recording Industry Association of America, which represents the major record labels, filed a lawsuit against Suno, alleging that the data used in training our music generation technologies infringed on the copyrights of the major record labels that they represent. This lawsuit is fundamentally flawed on both the facts and the law, and is nothing more than yet another instance where they chose litigation over innovation. For starters, the major record labels clearly hold misconceptions about how our technology works. Suno helps people create music through a similar process to one humans have used forever: by learning styles, patterns, and forms (in essence, the "grammar" or music), and then inventing new music around them. The major record labels are trying to argue that neural networks are mere parrots — copying and repeating — when in reality model training looks a lot more like a kid learning to write new rock songs by listening religiously to rock music. Like that kid, Suno gets better the more our AI learns. We train our models on medium- and high-quality music we can find on the open internet — just as Google's Gemini, Microsoft's Copilot, Anthropic's Claude, OpenAI's ChatGPT, and even Apple's new Apple Intelligence train their models on the open internet. Much of the open internet indeed contains copyrighted materials, and some of it is owned by major record labels. But, just like the kid writing their own rock songs after listening to the genre — or a teacher or a journalist reviewing existing materials to draw new insights — learning is not infringing. It never has been, and it is not now. The timing of this lawsuit was somewhat surprising. When this lawsuit landed, Suno was, in fact, having productive discussions with a number of the RIAA's major record label members to find ways of expanding the pie for music together. We did so not because we had to, but because we believe that the music industry could help us lead this expansion of opportunity for everyone, rather than resisting it. Whether this lawsuit is the result of over-eager lawyers throwing their weight around, or a conscious strategy to gain leverage in our commercial discussions, we believe that this lawsuit is an unnecessary impediment to a larger and more valuable future for music. This is particularly the case because Suno is a new kind of musical instrument, one that enables a new kind of creative process for everyone and opens new business opportunities for the industry. Suno is designed for original music, and we prize originality, both in how we build our product and in how people use it. People who use Suno are using the product to create their own, original music. They are not trying to recreate an existing song that can be heard somewhere else on the internet for free. But, even if they were trying to copy existing music, we have myriad controls in place to encourage originality and prevent duplicative use cases. We do so more aggressively than any other company in the industry, including other startups. Some of our originality-guarding features include checking for and preventing copyrighted content in audio uploads, and disallowing artist-based descriptions in requests to generate music. Why do we work to encourage originality? We do this because it makes for a more fun and engaging experience to create entirely original compositions on Suno. We do it because we think it makes Suno incredibly valuable to be a place where new musical talent can shine. AI allows anyone to realize the songs in their head, regardless of the money, equipment, or connections that they have. The future is an explosion of new artists that are creating music in new ways, building fan bases, finding new reasons to smile, and getting famous. We hope that the major record labels realize that we can build a stronger foundation for the music industry of tomorrow, together. With or without them, we will continue pursuing our mission on behalf of the many millions of music fans already creating with Suno, and all those who will in the coming months. We are excited and humbled to support this next generation of musicians and the music they create. --- 🎥: shing86 jams with Suno

Suno

46,808 просмотров • 1 год назад

what types of songs do you want to hear using v5 next...?
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what types of songs do you want to hear using v5 next...?

Suno

14,908 просмотров • 9 месяцев назад

Claude Code and Suno have more in common than you might think: "It's fun to build things, and it's fun to use what you build." AI lets people be creative in almost any domain, from coding to making music. Today on Training Data, Mikey shares his thesis for why generative AI is the newest form of active entertainment (the next 'gaming'), music as a cultural phenomenon vs creative expression platform, and more. My favorite part was Mikey's explanation of why Suno learns music theory implicitly vs explicitly: "In Western music, there are 12 tones. If you tell the model there are 12 tones, it will only ever produce those 12 tones. You will be forever limited. And if you tell the model there's 200 instruments, those are the only sounds that you'll ever be able to make." The more you constrain a model with what humans already know, the less capable it becomes. By treating everything as pure sound, Suno built what Mikey calls a totally generalized "music-making machine." Such is the power of neural nets.
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Claude Code and Suno have more in common than you might think: "It's fun to build things, and it's fun to use what you build." AI lets people be creative in almost any domain, from coding to making music. Today on Training Data, Mikey shares his thesis for why generative AI is the newest form of active entertainment (the next 'gaming'), music as a cultural phenomenon vs creative expression platform, and more. My favorite part was Mikey's explanation of why Suno learns music theory implicitly vs explicitly: "In Western music, there are 12 tones. If you tell the model there are 12 tones, it will only ever produce those 12 tones. You will be forever limited. And if you tell the model there's 200 instruments, those are the only sounds that you'll ever be able to make." The more you constrain a model with what humans already know, the less capable it becomes. By treating everything as pure sound, Suno built what Mikey calls a totally generalized "music-making machine." Such is the power of neural nets.

Sonya Huang 🐥

20,605 просмотров • 1 месяц назад

Suno V5: One of the first songs made with the new Suno version! Check out the excellent vocals, they sound very realistic:
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Suno V5: One of the first songs made with the new Suno version! Check out the excellent vocals, they sound very realistic:

Mark Kretschmann

18,550 просмотров • 9 месяцев назад

Microsoft just integrated music creation app Suno into its Copilot AI. Music, lyrics, all instruments and singing by AI. A version similar will be in open source soon. 100 billion “new” “songs” soon. I’m sorry. Prompt: “Make a metal song about baseball”.
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Microsoft just integrated music creation app Suno into its Copilot AI. Music, lyrics, all instruments and singing by AI. A version similar will be in open source soon. 100 billion “new” “songs” soon. I’m sorry. Prompt: “Make a metal song about baseball”.

Brian Roemmele

243,710 просмотров • 2 лет назад

A few months ago, I started exploring AI, music, and creativity with my son. He started showing a passion for music, so we decided to create an experimental music project that fuses all our passions. A musical exploration that blended our love for Trap hip-hop, metal, and anime gave birth to "Afraid2Sl33p." Our first single, "Come Undone," will be released on streaming platforms as part of a self-titled 8-track EP in a few weeks. Here is our first AI music video. Music created using Suno V5, lyrics written by my son and me. Keep creating and keep exploring. Cheers.
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A few months ago, I started exploring AI, music, and creativity with my son. He started showing a passion for music, so we decided to create an experimental music project that fuses all our passions. A musical exploration that blended our love for Trap hip-hop, metal, and anime gave birth to "Afraid2Sl33p." Our first single, "Come Undone," will be released on streaming platforms as part of a self-titled 8-track EP in a few weeks. Here is our first AI music video. Music created using Suno V5, lyrics written by my son and me. Keep creating and keep exploring. Cheers.

Dave Clark

162,033 просмотров • 7 месяцев назад

for Shuba making music feels like magic
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for Shuba making music feels like magic

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Seed-Music A Unified Framework for High Quality and Controlled Music Generation discuss: We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key music creation workflows: controlled music generation and post-production editing. For controlled music generation, our system enables vocal music generation with performance controls from multi-modal inputs, including style descriptions, audio references, musical scores, and voice prompts. For post-production editing, it offers interactive tools for editing lyrics and vocal melodies directly in the generated audio.
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Seed-Music A Unified Framework for High Quality and Controlled Music Generation discuss: We introduce Seed-Music, a suite of music generation systems capable of producing high-quality music with fine-grained style control. Our unified framework leverages both auto-regressive language modeling and diffusion approaches to support two key music creation workflows: controlled music generation and post-production editing. For controlled music generation, our system enables vocal music generation with performance controls from multi-modal inputs, including style descriptions, audio references, musical scores, and voice prompts. For post-production editing, it offers interactive tools for editing lyrics and vocal melodies directly in the generated audio.

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