Blake Ian

AI doesn’t clean up messy metadata, it just helps you see the mess faster. Duplicate tags. Conflicting categories. Missing structure. AI will surface all of it. #MusicTech #MetadataQuality #AIsearch #TagTeamAnalysis

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The collaboration between #AMC Networks and #Runway is set to bring cutting-edge AI tools into the realm of storytelling, enabling more efficient and innovative content production. By leveraging #AI, AMC aims to enhance visual effects, streamline editing processes, and personalize viewer experiences. This partnership highlights the growing trend of media companies embracing AI to stay competitive and meet evolving audience demands.

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Every artist at a certain level is an LLC. Legally, you're a business. But most of the industry isn't set up to help you operate like one. The artists who get it are keeping their rights, owning their fan data, and when a deal comes along — they're licensing access on their terms. Not handing everything over. Go look at Spotify. "Such and such LLC in exclusive license to major label." That's not by accident. Rights are one half of the equation. The other half is knowing who your fans are and being able to reach them directly. When you have fans buying your music, your merch, coming to your shows — and you actually know who those people are, you have an email list, you have real purchase data — that's an asset. That's something a label looks at and says okay, this is a business. This is what we've been building toward at Single: the direct-to-fan app for Shopify. The infrastructure for artists to go direct to fan, own that data, and build real businesses around their music. Because when artists have that, the conversation with any label, distributor or partner looks completely different.

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Are you still using spreadsheets and docs to collect and manage metadata? Let go of manually pulling metadata from different sources, use a platform that does the heavy lifting for you, purpose built for the modern music industry. Let go of trying to get hold of lyrics and chasing samples. Let go of not being able to collaborate with your team. Let go of not knowing all the small things that really matter. Let go of the past. #Metadata #MusicIndustry #WorkflowEfficiency #MusicTech #DigitalTransformation #Collaboration #ModernMusic #Innovation #LetGoOfThePast

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We’ve all spent far too much time working from scans and low-quality PDFs… and we’ve all learned to just “deal with it.” But that shouldn’t be the standard anymore. Tools like Enote are finally giving musicians what we actually need: ➡️ Instant navigation across movements & repeats 📖 Edition comparisons side by side 🟠 Smart annotations with automatic symbol highlighting rules It’s not just about convenience. It’s about understanding scores more quickly and practicing more effectively. If you’re serious about your craft, it’s worth trying a tool that’s built for musicians — not just another file viewer.

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MixAudio by Neutune recently published a paper at NeurIPS titled "From Generation to Attribution: Music AI Agent Architectures for the Post-Streaming Era," in which Lee Soo-man, the founder of SM Entertainment and key producer & visionary leader at A2O Entertainment, participated as lead advisor. The paper's main content proposes "creating an infrastructure that can track data copyrights of AI-generated music and distribute fair revenue to copyright holders." It aims to convey that artificial intelligence (AI) and the music industry can coexist rather than compete, and that the necessary technological foundation for this is now ready. The paper begins with the fact that current AI music generation technologies led by Suno AI and Udio cannot reveal whose music was used for training, making it impossible to pay royalties to copyright holders. If we cannot determine which artists' works were used and to what extent during AI music generation, "compensation" becomes an impossible goal. The solution proposed by the paper is a 'Music AI Agent' architecture with built-in technology that can track data copyrights of AI-generated music. The key points are: (1) when artists directly upload their music to the system, the tracks are automatically decomposed into small blocks at the stem level (such as 'vocals' and 'bassline') and registered in the database - 'BlockDB', and (2) through a real-time settlement system, when a specific artist's 'block' is used in music generation, it automatically settles payments to the copyright holder who registered that block through the real-time settlement system - 'Attribution Layer'. AI is not only capable of music generation. It will also enable rights holder tracking and revenue distribution simultaneously. For example, like YouTube's Content Management System (CMS) that automatically tracks, protects, and fairly compensates copyrights. We believe that only by doing so can artificial intelligence (AI) avoid confrontation with copyright holders and transform the music industry in the right direction. 📍paper: https://lnkd.in/g6xs2TpF

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SCREENCRAFT To learn screenwriting- you need to read and analyse screenplays. Not BINGE watch movies- or binge streamers. Yes they help with a sense of how scenes turn. The craft of writing is learnt from reading and analysing what works and what does not work on the page. Read! Analyse! Write! www.scriptslug.com

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Since the recording industry has changed so much, some people have deemed it "dead." Listed below are important factors. The Sharing of Files and Piracy Revenue has been affected by widespread music piracy. Streaming Resources The move to streaming has altered revenue models and consumption patterns. Evolution of Business Models Due to the drop in traditional album sales, artists are now looking into other sources of income. Self-reliance of Artists Nowadays, a lot of musicians distribute and self-produce their music instead of going through labels. Difficulties in Monetisation The complicated revenue distribution and low royalty rates make it difficult for musicians to make a living from their work. Nonetheless, the music business is changing and new prospects are appearing. Live performances Merchandise brand partnerships Model for independent artists Digital platforms The industry's transformation necessitates flexibility and innovation. #Artistry #Songwriter #Topliners #bussiness #musicexecutive #industry #musicians #producers #tips #IEHM

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A bit more on the sacred AI writing category There’s a funny bit of misdirection happening in this whole AI debate. Everyone wants to make “writing” the hill we’re all supposed to die on. Suddenly writing is sacred land. Suddenly copy is holy ground. Which is hilarious, because nobody has ever actually enjoyed their grammar-police friends or felt spiritually moved by a paragraph about quarterly goals. And while everyone screams about protecting the soul of writing, I’m watching AI roll through every other creative craft like a bulldozer. Photography. Cinematography. Set design. Casting. Direction. Lighting. Styling. Performance. You name it, AI is getting plugged right into the middle of it. And most people seem totally fine with that part. You can replace the photographer. Fine. Replace the videographer. Sure. Replace the director and the gaffer and the stylist. No problem. Replace the young actor trying to get their first break. Totally acceptable. Apparently none of those things are “real art.” None of those jobs require protection. No one seems worried about losing the color theorists or the set builders or the people who can walk into a room and actually make light behave. But the moment you even suggest AI might write copy or help with a script, the whole room gasps like you just kicked a toddler. Suddenly we care deeply about preserving the purity of… email subject lines? You want the truth? It’s not about art. It’s about convenience. People are fine replacing the crafts that take time, money, coordination, schedules, patience, and actual human messiness. It’s easy to replace the stuff that stresses them out. But writing? Writing is cheap. Writing is quiet. Writing can be done alone in sweatpants. And that, apparently, is the last creative domain people feel like they still own. So let’s call it what it is. This isn’t a philosophical crisis. It’s a turf war dressed up as ethics. And I’m not buying it. Just hand me the tools and let’s keep creating.

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The 10 strategic actions that consistently help indie authors achieve bestseller status (spoiler: it's systematic, not accidental) After analyzing hundreds of successful indie launches, these tactical approaches appear repeatedly among authors who crack bestseller lists. 1. Strategic category selection - Target winnable categories rather than the most competitive ones. Research where you can realistically rank in top 10. 2. Extended pre-launch marketing - Begin building anticipation 3+ months before publication through teasers, cover reveals, and audience engagement. 3. Advanced reader team cultivation - Develop relationships with reviewers who provide launch day feedback, creating immediate social proof and algorithmic signals. 4. Synchronized launch execution - Coordinate email announcements, social media campaigns, and advertising for maximum concentrated impact during release week. 5. Immediate advertising implementation - Launch targeted Amazon ads from publication day rather than waiting for organic traction that may never materialize. 6. Influencer relationship development - Secure partnerships with BookTok creators, Bookstagrammers, and book bloggers for amplified reach during launch period. 7. Psychological pricing strategies - Implement pricing tactics and limited-time offers designed to maximize sales velocity during crucial ranking periods. 8. Author cross-promotion networks - Establish mutually beneficial partnerships with authors in similar genres for audience sharing and collaborative marketing. 9. Newsletter exchange programs - Access established reader communities through strategic partnerships with other authors' email lists. 10. Series momentum planning - Design book launches to create compound growth where early success automatically boosts subsequent releases. Bestseller achievement results from systematic planning and coordinated execution, not creative talent alone. Comment "CHAPTER" to get the first chapter of my Amazon Advertising book FREE! 👇 #bryancohen #authoradschool #bestpageforward #sellmorebooksshow #selfpublishing #amazonads #bookmarketing #booklaunch #bestsellerlist #bestsellersecrets

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AI and Music Royalties: Human + Machine Is the Future ASCAP, BMI, and SOCAN draw the new line for music ownership The Line Is Now Clear ASCAP, BMI, and SOCAN will now register partially AI-generated songs. This changes how music ownership, royalties, and credit are assigned. The future of music is not man or machine. It’s both. What Changed For years, music rights organizations refused AI-assisted songs. Now, if a human creates the melody, lyrics, or main composition, the work qualifies. AI tools can help, but creators must disclose their use. Royalties go to the human who makes the creative calls. This defines a new creative standard: AI can assist, but it cannot own. What Artists Should Do AI is already in your workflow. You use it for chords, ideas, mixing, or mastering. Now you can protect your music without risk of rejection. Action steps: Keep notes on your creative process Identify what AI tools you used Register songs under your name with proper disclosure Keep your stems, lyrics, and project files as proof This builds your legal defense and ensures you get paid. What Industry Professionals Should Do Labels, publishers, and distributors must now adapt. Contracts, splits, and registrations must reflect AI involvement. Action steps: Update your standard contracts Add clear AI disclosure sections Track authorship through session notes or digital logs Educate artists about new registration policies This reduces disputes and keeps catalogs clean. What Comes Next ASCAP, BMI, and SOCAN are setting a global precedent. Other rights bodies will follow. Music law is catching up to technology, fast. AI will reshape how music is made, but not who gets credit. Human creativity remains the source of value. AI becomes a tool, not a co-writer. Respect returns to where it belongs — the creator. Your Turn AI is changing music faster than law can react. Do you think fully AI-generated songs should ever earn royalties? Share your thoughts below. Let’s see where creators stand today. #AIinMusic #MusicRoyalties #ASCAP #BMI #SOCAN #MusicIndustry #Songwriters #MusicBusiness #MusicLaw #Copyright #ArtificialIntelligence #FutureOfMusic #Producers #Publishing

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If you’re not registered with SoundExchange… you might be leaving money on the table. A lot of music creators understand PROs like ASCAP or Broadcast Music, Inc. (BMI)… But SoundExchange is a completely different income stream that many artists, producers, and rights holders miss. I just did a full breakdown covering: • What SoundExchange is • Who should be using it • How to properly register your music • How to actually collect what you’re owed If you’re creating music and it’s being streamed (especially on digital radio platforms), this matters. Action step: Make sure you’re set up correctly and not missing royalties that belong to you. 🎥 I dropped the full video breakdown. Link is in the comments. Let’s go! #MusicBusiness #SyncLicensing #MusicRoyalties #IndependentArtist #MusicProduction

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www.MasterFadr.com has rolled out exciting updates to enhance music production and monetization for users. These changes focus on the new Incubator feature, track analysis, UI fixes, and upcoming stem processing tools. Incubator Additions The Incubator is now available for Starter Pro and Unlimited users, with free trial users able to view track previews. Paid access enables earnings per view and direct-to-consumer sales when tracks are uploaded. This creates a marketplace-style incubator for no-render, DAW-free music launches. Track Analysis Features Full track analysis generates custom mastering presets in the signal chain upon upload, tailored uniquely to each track [user query]. Existing presets enhance these without overriding, and manual tweaks remain possible. UI and Compatibility Fixes V1.3 resolves header issues across iOS and desktop in both portrait and horizontal views Upcoming Integrations Major updates include a stem splitter that auto-analyzes stems, fixes phase issues, EQ, Compression, DeEsses adds reverb/delay as needed, balances tracks, and uses Rebounce for high-quality, gain-staged mixes ready for mastering This aligns with tools like Fadr’s advanced stem separation for up to 16 elements. These enhancements position MasterFadr as a comprehensive AI-driven platform for music mastering and distribution,

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Licensing AI training is a mistake, and here's why. The recent reports that major record labels are negotiating licensing deals with AI music generators like Suno and Udio show a deep misunderstanding of how both intellectual property law and artificial intelligence actually work. Let’s start with the basics. Training a model is not the same as copying a copyrighted work. It’s a transformative process. It doesn’t store songs or images. It doesn’t memorize them line by line. It turns thousands of expressive works into abstract statistical weights. These weights don’t contain any one work. They contain generalized patterns drawn from many sources, blended in ways that are probabilistic and non-linear. That is not reproduction. It’s analysis. It’s transformation. The legal system has always made a distinction between transformation and reproduction. What needs regulation is not the training phase. What needs regulation is the output phase—when a model generates something that sounds like a known artist, mimics a recognizable voice, or recreates a particular emotional signature. That’s where reproduction and distribution actually happen. That’s where harm occurs. That’s where rights should apply. That’s exactly why I proposed the Creative Pattern IP model. It protects creators from unauthorized imitation at the output level, without blocking learning or research. It defends artistic identity without criminalizing analysis. It separates training, which is transformative, from outputs, which can be reproductive. That is a precise, legally grounded position. It does not confuse what AI is doing with what it later delivers. But what we are seeing now is the opposite. These licensing talks are treating training as if it were copying. As if AI companies owe money simply for having analyzed music. That’s not how copyright works. That’s not how the law defines infringement. And it’s dangerous. Because if you start licensing training, you give away the most important legal precedent we have to distinguish fair use from unauthorized duplication. It gets worse. These settlements reward companies who scraped content without permission. They get to keep their models, pay a fee, and move on with legitimacy. That’s like letting someone break into your studio, use your gear, and then giving them a license retroactively because they built something cool with it. It sends the wrong signal. Worse still, it ignores the real problem. These licensing deals say nothing about identity mimicry. Nothing about vocal likeness. Nothing about style laundering. They treat this like a sound recording issue when what’s happening now is an authorship issue. A voice issue. A cultural and emotional appropriation issue. This is why I’ve been speaking out. Because if we don’t draw a clear line between learning and recreating, between transformation and imitation, we are not protecting the future of creativity. We are licensing its erasure. (continue in the comments)

The difference between scattered marketing and a successful growth strategy is data. Research confirms that every stream, save, and playlist add is a signal artists can use to their advantage. Learn how to stop relying on assumptions and use platform insights (from top cities to engagement rates) to make every decision about your next single, tour, or ad spend highly strategic. https://lnkd.in/g522QQAX #MusicMarketing #MusicStreaming #IndependentArtist #MusicArtist

AI music platform Suno, reportedly raising $100 million at a $2 billion valuation, has launched a new version of its free music-making tool called v4.5 All. The upgrade offers faster performance, higher-quality sound, and improved vocals compared to its previous free model. Built from Suno’s premium v4.5+ engine, it lets users add AI-generated vocals or instrumentals and create songs inspired by playlists. The release follows the debut of Suno Studio, an AI-powered digital audio workstation, and comes as the company faces major copyright lawsuits from major and indie labels. Despite legal challenges, Suno is said to be generating about $100 million in annual recurring revenue. https://lnkd.in/gqFtS_Bk #AImusic #musicindustry #musicbusiness

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