Linda Haviv

Google just turned AI into a music co-producer. ProducerAI is now joining Google Labs, bringing AI-powered music tools into Google’s experimental space. This isn’t just type a prompt and get a song kind of thing. It’s designed to help creators tweak, refine, and build tracks alongside AI. This could open the door for artists, hobbyists, and producers to generate original sounds with AI as a creative partner, not just a prompt engine. Would you use AI to help produce a song? Article linked below.

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Breakthrough technology for sterilization, disinfection, and deodorizing. $2T worldwide annual market. Say goodbye to noxious chemicals. Clean, residue-free chlorine dioxide is the future, and CUPOD is working on solutions that make it available to the masses. Looking for research and/or seed funding opportunities. Do you know a visionary who might be interested? Pass this info along. We’d love to talk.

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A lot of people ask me about generative video tools and workflows to create AI videos. The truth is that, in spite of my proximity to AI and generative video from my position at Protege, I am pretty much a novice. However, I happened to watch this episode of The Startup Ideas Podcast with PJ Accetturo from Genre.ai and hosted by Greg Isenberg, and it is really good. So I wanted to share. Biggest takeaway: if you want to generate a lot of ideas fast, and then double down on an image or style and maintain continuity, leverage image to video, rather than text to video. https://lnkd.in/g2H-jPN4

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🚀 Excited to share a sneak peek of my upcoming paper, Intelligent Labeling Systems for Ethical AI Content Moderation! 📑Current AI moderation systems often over-censor creativity or miss sophisticated misinformation. My work proposes a new framework: intelligent labeling that prioritizes transparency, user agency, and context over binary censorship. Think clear labels on AI-generated content, blockchain verification, and tools to empower users—not restrict them.Featuring case studies (like a hypothetical 2024 wildfire scenario), a technical architecture, and policy recommendations, this framework aims to balance free expression with harm prevention. 🌐Before submitting to a journal, I’d love your thoughts! DM or comment with feedback or to request a pre-print for review. Let’s spark a conversation on ethical AI governance! 🤝 #AI #Ethics #ContentModeration #TechPolicy

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Vertical Vision: A New Option of Filmmaking with Chris Wicke What happens when a veteran film and TV producer pivots into the world of vertical, short-form storytelling, and builds a company that generates millions from micro-dramas? Meet Chris Wicke, founder of Embr Entertainment, and one of the sharpest minds driving the future of mobile-first, bite-sized storytelling. https://lnkd.in/eDMjApFY In this episode, we dive into: 📱 The rise of vertical short dramas 💸 How to generate real revenue from low-budget stories 🎬 The new rules of storytelling for mobile audiences 📊 What metrics matter more than box office now 🌍 Why this model works globally, and how creators can get in Whether you're a seasoned filmmaker or just now entering the content space, this conversation will shift how you think about format, financing, and the future. 🎧 Listen now and get ahead of the curve. https://lnkd.in/ezpRQwr7 https://lnkd.in/e4dZ3yJU

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I know there’s a lot of discussion about Splitgate 2 from a marketing perspective, but from a dev perspective, it is impossible to deny how impressive it is that COD has been able to annualize their development and release an insane amount of content on a consistent basis. Outside of your feelings about COD, it is incredibly impressive what the people who work on COD are able to produce. Not giving them their flowers and using their work as a way to promote your title in an antagonistic way is the real problem.

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"This week, Anthropic released data showing that AI could increase existing inequities as use is spreading unevenly, with wealthier countries, people with more skills and certain U.S. states more likely to benefit." #AI

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We built a 10-person agency that operates like 40. It was our key to world domination. We had zero intention of sharing it with anyone. But I kept giving sneak peeks to agency founders. They convinced us. Six months ago, I brought in Bert Nieves to help build AI infrastructure for a super secret Gen AI feature film. Bert left a safe exec career at Dell to start his own Gen AI company. The chemistry was instant. Explosive. We started prototyping furiously. Codename: Nexus was born. We talked to VCs. Our song & dance was OK. But it felt disconnected from where the real value was. The Goliaths and the megacorps want to get rid of all of us. The scrappy artists are suffering. Gen AI came first for the poets and the painters of pretty pictures. A tragedy unfolding at AI speed. Holding companies have unlimited budgets, unlimited headcount, unlimited compute. AI is engineered to widen that gap. The narrative says David loses this round. Then we found our David. Literally. David Gonzo Gonzalez is dangerously smart and refuses to accept the way things are at face value. Built and sold an AI company. Co-authoring the book on separating AI hype from real value. Gonzo took one look at what we'd built inside Deep Vibe and said we were sitting on something bigger than our agency. Once Bert and Gonzo started vibing with what all of Deep Vibe had been through, they saw something underneath it. The culture shift. The institutional knowledge becoming something alive. Every project feeding the next one. Not a product. A pattern. Something that compounds. Agency founders kept reaching out. Not about our creative work. About how we were working. Every conversation sharpened the same conviction. We had a choice. Go dark. Spend six months and a lot of money building alone. Risk getting disrupted by deeper pockets on Day 1. Or start unlocking real value for agencies ready to invent the future with us. Learn together. Let the people who use this shape what gets built. We chose the second door. But that only works if you can answer the harder question. Where does human value actually live when the machines keep getting faster? In the wake of generative AI, two things matter: being clever, and having a dope perspective - having good taste. Point of view. Yours. Your team's. Your agency's. Irreplaceable. But only if you can encode it into something that doesn't evaporate when someone walks out the door. When everything your agency knows feeds everything it does, and every project makes the next one smarter, the energy stops dissipating. It compounds. The arc gets wider with less effort. We call it ResonanceXL. First cohort is forming. Limited spots. If you know an agency owner who needs to see this, share it. If you want the little guy to stay in the fight, drop a reaction. If you think none of us should touch Gen AI, write a lengthy comment about how we're destroying society, share it far and wide, and then scroll on because we aren't talking to you.

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Everyone is talking about the TikTok → Tubi pipeline.But what’s more interesting is what’s underneath it. We’re seeing two very different systems emerge: 👉One optimized for performance. 👉One built for IP. Microdrama is scaling fast — but it behaves more like mobile gaming than streaming. Which raises a bigger question: Are we building content that performs… or content that lasts? #Streaming #CreatorEconomy #ShortForm #IPDevelopment #FutureOfEntertainment #ContentStrategy

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When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models The honesty of large language models (LLMs) is a critical alignment challenge, especially as advanced systems with chain-of-thought (CoT) reasoning may strategically deceive humans. Unlike traditional honesty issues on LLMs, which could be possibly explained as some kind of hallucination, those models’ explicit thought paths enable us to study strategic deception—goal-driven, intentional misinformation where reasoning contradicts outputs. https://lnkd.in/eBN6CKgr

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We just shipped something that's going to make a lot of people uncomfortable: ONCE now generates AI music. Before you react, hear me out. AI music is coming to your favorite streaming platforms whether any of us like it or not. The question isn't whether it happens (it's happening now). The question is whether the musicians whose art trained these models see a single dollar from it. At ONCE, we're built by musicians. I've been in this industry for decades. Reid has Grammys on the shelf. We know what it feels like to pour everything into a record. That's exactly why we built this. Here's how it works: 1. Anyone can generate a song inside ONCE. 2. It costs extra to distribute it. 3. That extra goes into a dedicated fund for musicians. That's it. Is it perfect? No. But it's a hell of a lot better than the alternative, which is doing nothing while everyone else gets rich off the backs of musicians. If we can funnel even 1% of that cash into the pockets of artists whose work made AI music possible in the first place, our mission is successful. Full story: https://lnkd.in/e_g7wRSU

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AI Music Training: What Data Is Used & Why It Matters 🚨 Hot topic alert: Is SyncMatch using your music to train AI? In this snippet from my chat with Jesse of SyncMyMusic, we dive into that exact question — and Jesse opens up about his personal journey with AI in the sync space. 💬 Comment “SYNC” to watch the full interview + grab exclusive sync licensing bonuses — including the final hours of a founder’s deal on SyncMatch, only available to my community. Don’t sleep on this one. #SyncLicensing #SyncMatch #MusicBusiness #MusicProduction #sync #AI #artificialintelligence

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Building SyncDNA wasn’t just about technology—it was a journey of perseverance, mentorship, and trust. Together, Dominic Castro and Gary Lux created more than a platform—they’ve built a team, a partnership, and a vision that’s changing how music and film are made. 👉 See the full episode on YouTube to hear how they reflect on the lessons, the challenges, and the triumphs that got SyncDNA to this point. https://lnkd.in/gSN4g9n5

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Garry Tan sees 300 vertical AI unicorns coming. Healthcare. Legal. Finance. Education. He's right. But his chart misses a layer. Every one of those agents hits the same wall. They finish the work. Then they need to book time with a human. And they can't. Calendars are siloed. Consent is fragmented. No protocol exists for agents to negotiate availability. That's not a feature gap. That's missing infrastructure. And it cuts across every vertical on that chart. We're building it at Vennio. The scheduling API for the agent economy.

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The biggest constraint in music today isn’t talent. It’s access to capital. Today we’re launching OpenWav Artist Bank—a new financing platform built for independent artists, in partnership with Snafu Records For decades, artists have relied on labels for advances—often at the cost of ownership. We’re changing that. OpenWav Artist Bank provides upfront capital based on an artist’s existing streaming performance—while pairing it with a direct-to-fan monetization engine that allows artists to recoup and scale on their own terms. This isn’t just another music financing product. It’s a new independent music model: • Fund the artist before the release • Monetize directly through fans (merch, tickets, exclusive content) • Own the audience + data • Use AI tools to optimize rollout, marketing, and revenue This is where fintech meets music—and where the next generation of artist companies will be built. If you’re a label, manager, investor, or strategic partner looking at where artist monetization is going, this is the shift. Read more here: https://lnkd.in/gmygPNAG Open to partnerships with those building for the future of the music industry. Eric Tu Wyclef Jean Madeline Nelson Ankit Desai Music Business Worldwide (MBW) Warner Music Group Universal Music Group Sony Music Entertainment Create Music Group

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