NEW Meta AI Audio Update is INSANE!

New Ma AI audio model is insane. Meta just dropped something wild. You can now isolate any sound from any recording. Want to remove a car horn from your podcast? Done. Want to pull out just the guitar from a live song? Easy. Want to delete background noise but keep the voice? Boom.

This is Sam audio and it's changing everything. So, here's what's crazy about this thing. It's one model that does it all. Speech, music, random sounds. You don't need three different tools anymore. You just need this. And the way you use it, you can type what you want. You can point at a video. You can even pick a time range. It just works. Think about what this means for a second. You're editing a podcast and there's a dog barking in the background. You type dog barking and Sam audio pulls it out. Or you're working on a music track and you want just the vocal. You point at the singer in the video and boom, you got the vocal isolated. Or maybe you have a long recording and you only want the sound between minute 2 and minute 3. You pick that time span and Sam audio grabs it. This is not science fiction.

This is available right now. Meta released this to the community. They put out the model. They put out something called a perception encoder which makes the audio understanding better. They released benchmarks showing it beats everything else out there. And they gave us a research papers so people can build on top of it. This is a gift to creators, developers, and anyone who works with audio. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. Julian Goldie reads every comment, so make sure you comment below. Let me break down what Sam audio actually does. You give it an audio file. Could be a podcast, could be a concert recording, could be a street scene with traffic and people talking. Then you tell it what sound you want using one of three ways. Text prompts like car horn or guitar riff. Visual prompts where you point at something in a video or time span. Prompts where you say, "Give me everything between these two timestamps. " Sam audio then separates that exact sound from everything else. Clean, fast, accurate. The tech behind this is pretty wild, but I'll keep it simple. They built something called a perception encoder. This thing understands audio way better than old models. It can tell the difference between a guitar and a piano, even when they're playing at the same time. It knows what a car horn sounds like versus a person yelling. And it works across all types of audio. That's the unified part. One model, all sounds. Meta tested this against everything else out there. Speech separation benchmarks, music separation benchmarks, general sound benchmarks, and Sam audio one. It's what they call state-of-the-art. That means it's the best right now. Better than tools people have been using for years, and they're not keeping it locked up. They put it on their AI pages and something called the segment anything playground. So you can actually try it.

And if you want to scale your business and automate your workflows with tools like Sam audio, you need to check out my AI profit boardroom. This is where I show you exactly how to use AI audio tools, video tools, and automation to get more customers and save hundreds of hours. We're using SAM audio type tools to clean up client videos, create better content faster, and deliver professional results. The link is in the description. This is the exact system my agency uses to stay ahead. Now, let me show you what

this means in the real world. Let's say you run a podcast. You recorded an episode at a coffee shop because you thought it would be cool. But now you have all this background noise, espresso machines, people talking, chairs scraping. Before Sam audio, you'd spend hours trying to clean that up. Or you just accept that your audio sounds bad. Now you type background cafe noise and Sam audio removes it while keeping your voice perfect. That's a game changer for content creators. Or let's say you're a music producer. Someone sends you a live recording of a band. You want to remix it, but you need the individual instrument separated. Before this, you'd need software and a lot of manual work. Now you can point at the guitar player in the video and Sam audio isolates just that guitar. Or you type lead vocal and you get a clean vocal track. You can do a full remix in a fraction of the time. Let's talk about why this matters beyond just the cool factor. Speed is everything in business. If you can edit audio in seconds instead of hours, you can produce more content. More content means more reach. More reach means more customers. Sam audio gives you that speed. You're not sitting there with manual tools trying to isolate sounds. You type what you want and you're done. Creative workflows change, too. Music producers can experiment faster. They can try 10 different remixes in the time it used to take to do one. Podcasters can record in more places without worrying about perfect conditions. Filmmakers can save takes they thought were unusable. When the tools get better, creativity expands. You try things you wouldn't have tried before. There's an accessibility angle here, too. Better audio separation helps with transcriptions. If you can isolate the speech from background noise, transcription software works better. That helps deaf and hard of hearing people get accurate captions. It also helps with hearing aid technology. If a hearing aid can separate the voice you want to hear from background noise using AI like this, that's life-changing for people with hearing loss. Now, I'm going

to keep it real with you. This is powerful, but it's not magic. There are limits. It's not necessarily real time on every device. If you have a super complex audio mixture with 50 different sounds, performance might vary. And there are questions about privacy and licensing when it comes to music. If you use this to separate stems from a copyrighted song, you still don't have the legal right to use those stems however you want. The tech works, but the legal stuff is the same as before. Meta published their benchmarks and research so you can see exactly how it performs. They're not hiding anything. The community can now build on this. People will make better tools. They'll find new use cases. They'll push the limits of what's possible. Like that's the power of releasing this stuff openly instead of keeping it locked up behind a payw wall. So, what should you actually do with this? Start simple. If you make podcasts, grab some clips with background noise and test it. See how well it pulls out your voice. If you make music, try isolating instruments from live recordings. If you do video production, test it on problem audio you've been avoiding. Keep your original files as backups. Normalize your audio levels first and always compare the before and after to make sure you're getting what you want. The tools are already available on Meta's AI pages and the segment anything playground. You can literally go try this right now. They have the research paper if you want to dig into the technical details. They have the models if you want to build something with it. And they have examples showing what it can do. The barrier to entry is super low. You don't need to be a developer. You just need audio and an idea of what you want to pull out. This is one of those moments

where the technology catches up to what we've been wanting for years. Audio editing has always been tedious. Separating sounds has always been hard. You needed plugins and a lot of skill. Now you need a text prompt. That's a massive shift. And it's happening right now. While most people aren't paying attention, this is the kind of AI that actually matters. Not hype, not promises, real tools, solving real problems for real people. Audio has been the hardest part of content creation for a long time. Sam audio just made it way easier. And that means you can focus on what actually matters, which is the message, the story, and the value you're giving people. The text should be invisible. It should just work. And Sam audio gets us closer to that reality.

And if you want to scale your business and automate your workflows with tools like SAM audio, you need to check out my AI profit boardroom. This is where I show you exactly how to use AI audio tools, video tools, and automation to get more customers and save hundreds of hours. We're using SAM audio type tools to clean up client videos, create better content faster, and deliver professional results. The link is in the description. This is the exact system my agency uses to stay ahead. And if you want the full process, loss, and 100 plus AI use cases like this one, join the AI success lab links in the comments and description. You'll get all the video notes from there, plus access to our community of 38,000 members who are crushing it with AI. We're sharing what works, what doesn't, and how to actually use these tools to grow your business and create better content faster. That's it for today. Hit the like and subscribe button and I will see you in the next