The AI Optimist

As AI Hype dissolves into mainstream cringe, it’s easy to forget that the gems are found below the surface jargon and PR blather.Like Maya Ackerman, founder and CEO of WaveAI since 2017, helping people write lyrics and make music without breaking the rules. Or stealing other’s music!Creating emotional connections, inspiring discovery, AI designed to release that creative feeling, focusing on human creativity instead of the AI Roulette wheel:“We should be thinking, how can we build technology? How can we build an LLM or a different kind of model designed to elevate the human spirit? And there are ways to do this. We just need to expand our imagination.”Maya AckermanOver a million songs have been created with of WaveAI since 2018. Including a few big hits and several quiet relationships with major players who face backlash for exploring an AI future that empowers musicians.Maya Ackerman built her company to work completely differently than what investors wanted or what her competitors – Udio and Suno - deliver.AI tools that make you betterWhile most generative AI tools function like "rotating roulette wheels of content" - spin the wheel, get random output - Maya delivers on a different vision.As an opera singer and musician herself, she experienced firsthand how AI elevates her own creative process, not replace it."My songwriting abilities blew up," she told me about her first encounter with an early AI prototype. "I went from being a certain level in songwriting to being three times better instantly."That personal breakthrough led to WaveAI - a platform helping both skilled and beginner musicians craft songs and lyrics. Easy to use and affordable.And the technology isn't built to be bought out or go IPO. It's built to elevate creative skills in humanity, in people.Eight years after starting, Maya is still aligned with this vision, even when it means moving away from what the investment world wants.How Does AI Elevate Creativity: Who's Really in Control?Maya laughs when framing what's wrong with most AI tools today:"If ChatGPT is a god when you use ChatGPT, then when you use Lyric Studio, you are the God."Think about how you interact with most AI. You prompt, it produces. You ask, it answers.The AI is the oracle, you're the follower. And Maya knows this approach fundamentally disempowers users.Curtiss King, who had a No.1 hit on iTunes via an album made with LyricStudio, said that it’s like lightning in a bottle.“It enables you to capture this kind of inspiring moment, but also stay in ‘flow’ – to stay solidly in this creative space.You can get out this inspiration onto paper or onto your monitor before it fizzles away.”Curtiss KingMaya’s insight from her upcoming book "Creative Machines" cuts to the heart of it:"I now see that AI has always been - and will always be - all about us."This isn't just philosophy - it's a completely different business strategy. While companies like Suno and Udio pitched investors on "human-free Spotify," Maya forged her own path."The reason that you see Suno and Udio make it so simple and so efficient is because that's what investors wanted. They wanted a replacement model," she explains.She respects their tech, but the AI divide is clear.When you build AI to replace people from day one, that intent gets baked into everything - the algorithms, the interface, the user experience.When you build to elevate people, that's a fundamentally different architecture. Results come from intention as much as doing the work.She’s building a creative force that helps musicians grow, sometimes where they don’t even need to use her tools anymore….which is awesome!Breaking the Average: AI that adapts to your styleMost AI systems optimize for the most likely outcome - they head toward the average, the safe choice."We don't take it towards the mean. We don't give you the most likely outcome because we're trying to help you be creative."Instead of serving up what's most probable, Wave AI intentionally offers low-probability responses that aid and challenge the musician. It's literally programmed to provide divergent, unique results rather than predictable ones.The interface tells this story too. No prompt box asking what you want AI to create. Instead, "a big empty text box" that immediately signals: you're writing. The AI suggests and supports, but you're driving."The suggestions are divergent, so they don't all take you to the same directions. There is no right way to write your lyrics."When Humans Stay in Charge: Songwriting AI that teachesHelping to create a million songs is impressive. Learning how people use your technology and adapting is where this radically improves.Take Sky Jordxn, using Wave AI in a way Maya, and AI, never anticipated."Sky Jordxn has a whole playlist of videos... it just blew my mind. In the early days, Jordan would turn on his beats, click generate as the music played, and improvise rap lyrics in real time using AI suggestions."He would sort of improvise his rap with Lyric Studio on top of the beat in real time and create music like that."Or Curtiss King, a professional who uses Wave AI to enhance, not replace, his process."When professionals like Curtiss can use Lyric Studio, a lot of the lines just come out from them. They only use Lyric Studio to the extent that they want to."The creative AI pattern is clear: when you design AI to support rather than replace, people find ways to use it that surprise even the creators.Sure it’s great, but can it create an Italian Aria?Arido Taurajo - the Italian Aria created with help from early WaveAIJames Morgan, a San Jose State art professor, always dreamed of writing an opera. Problem: no musical experience, doesn't speak Italian.During her early research days, Maya took a walk with Morgan through the San Jose State campus. Beginning to create WaveAI, she asked Morgan about that Italian opera idea, and she had a twist.They could retrain their AI music system on public domain Italian works, like Puccini. The setup was simple: feed it Italian lyrics, get back different melody suggestions.Remember, Morgan has no music experience or background, though extremely creative. Trying to create an Italian aria without knowing the language:"The guy creates Arido Taurajo, this amazing Italian aria," Dr. Ackerman says, still amazed. The piece got showcased in galleries, with Dr. Ackerman herself singing parts of Morgan's creation.This wasn't AI generating an opera. These were two humans using a tool to leap over impossible gaps - language barriers, musical inexperience, technical limitations - to create something genuine, personal and beautiful."You give somebody a fairly basic AI tool and they can go out and create something," she reflects. "A non-musician who doesn't speak Italian could create a beautiful Italian aria."AI Elevates Creativity: The Counter-Intuitive Business ModelBeing a founder means sometimes not wanting to admit a good thing. Maya is finding that some Wave AI users actually stop paying - not because they're dissatisfied, but because they've gotten good enough that they don't need the tools anymore."Some of our users stop paying for our products because they have become better songwriters. They got to where they want to go. And I think that's fantastic."It's the opposite of the typical tech playbook focused on user addiction and lifetime value optimization. WaveAI is literally building itself out of some customers' lives - and celebrating it."The way to make a successful product with AI is to have it give real value and elevate the user and help them learn and help them grow, not just foster addiction and dependence."Standing Up to the AI HypeAs generative AI grows and big moonshot companies grab headlines, will any of this stand the test of time?"How can we build technology designed to elevate the human spirit? There are ways to do this. We just need to expand our imagination."This requires breaking free from the science fiction narratives shape investor thinking."The narrative has really crystallized into this autonomous intent field evil thing that ultimately wants to kill us and replace us," she observes.Still at every level, we can choose differently. Investors don't have to fund replacement models. Builders don't have to create black box oracles. Users don't have to accept being told what to do, how to do it, and losing control.The Long Game: How can AI make us more human?Dr. Ackerman's first principle, laid out in her upcoming book "Creative Machines":"The greatest impact creative machines can have is to elevate human creativity."This isn't about making AI less powerful. It's about designing that power to serve human thriving instead of human replacement."How can AI make us more human? How can it help us connect deeper with our emotions, connect more deeply with each other, and connect more deeply with our creative capabilities?"The answer lies in what she calls "humble creative machines."AI systems built to put humans in charge, to adapt to users rather than forcing users to adapt to them.When James Morgan created his Italian aria, he wasn't just making music. He was proving that the impossible becomes possible when technology is designed with the right intent from the ground up.While everyone else is building roulette wheels, Maya and the team at WaveAI is building something different: tools that make you more creative, not more dependent.And in a world racing toward AI that does everything for us, maybe that's exactly what we need.Thanks for reading The AI Optimist! This post is public so feel free to share it.ResourcesWaveAICreative Machines: AI, Art, and Us (Maya's Book)LyricStudioMelodyStudioMaya Ackerman LinkedInArido Taurajo by James Morgan with helpfrom an early version of WaveAICurtiss King TVHow LyricStudio Pro Helped Me Get Out Of A Writer’s BlockSky JordxnJames MorganUdioSunoAI Optimist Playlist (Shorts and Sections) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

We were somewhere around Redwood City on the edge of the metaverse when the drugs began to take hold. Not the good kind of drugs.The algorithmic kind. The kind making you believe your smartphone loves you more than anyone ever did. And AI is the future, everyone else is the past.It starts with a YouTube comment, one of those beautiful smacks of “I’ve done the research” digital trolling setting the tone of us v. them:"@DeclanDunn ai is the future, you cant stop it. you just sound like a boomer complaining about it."Of course. The classic "you can't stop progress you old dude" statement. Not listening to the short video, cutting out after the first 10 seconds.Expecting someone to spend a minute to realize I was telling creators, fighting AI is like standing in front of a runaway train and telling it to stop.I'm not trying to stop AI. I'm trying to stop turning AI into something mostly serving its masters, like a cult, instead of the people who created all the data that fills it with brilliance.And those creators are the anti-AI Clankers – pro humanity cult – stop it! There's a difference between embracing the future and bending the knee.The AI industry in the US at least are the drug dealers, we’re just the ones receiving the addicted message, and calling it our own.And in the end I’m going to give you all, AI or anti-AI, a 3 step recovery program.The first part is recognizing your both in the same cult, on different sides, but it’s the same.The Great Digital Cult Rush of 2025See, here's what the “follow the billionaire” in Silicon Valley don't want you to know.The research is so clear. Barnabas Barnty (and yes, that's his real name—you can't make this stuff up) published a study:The Psychology of Indoctrination: How Coercive Cults Exploit Vulnerability and Foster Radical Beliefsthat reads like a playbook for AI manipulation. Cults prey on people experiencing "significant life transitions, emotional distress, or social isolation."Sound familiar? That's basically everyone on social media, except the influencers (but they’re all avatars anyway)The story? Like AI taking over, taking your jobs, taking your content, and in the end likely destroying us all. That’s a common storyline.Everyone who's ever posted "Thoughts?" on social and waits for the sweet, sweet validation of professional strangers.And if you don’t play the game by their rules, you’re not in the game. Your thoughts don’t exist. That’s the classic definition of a cult.Barnty’s Four Rules applied to the AI Cult – whether you’re for it or against it.1. Love Bombing Creates The Algorithm's EmbraceClassic cult technique: Shower recruits with attention and affection to create belonging.AI's version? Your first TikTok gets no views, except for some bots who give you the illusion they’re human, maybe even commenting.Humanity's Last Exam becomes your obsession, an LLM test you don’t understand. Doesn’t matter, fake it. Stop being yourself, start copying and spraying around Game Changers and Hot Takes on the latest AI taking over.The algorithm whispers sweet nothings: "You're going viral IF you’re in the AI cult, baby. Dance for me."Suddenly you're hooked like a lab rat hitting the cocaine button, creating content at 3 AM, chasing your first viral, day after day. Don’t give up, but whatever you do, be extreme.And it hits, you get like 1,000 people….ok, 500 people and 500 bots, but who knows?But cross the AI Cult—post something it doesn't like—and watch the love turn cold faster than a San Francisco summer.You're back to 12 views and your mom's comment: "Nice post, honey."2. Isolation Sucks, Join the Echo Chamber ExpressCults cut you off from outside influences. We built something more efficient: algorithmic isolation chambers. Built on content, training you to be AI believers….you can be a AI hater, but that’s so niche.Your feed becomes your reality. AI decides what content you see, what you think about, who you argue with online.Like being trapped in a hall of mirrors, but all the mirrors show you content that confirms you're already right about everything.The genius? We think we're discovering this organically."Wow, everyone really does agree that pineapple doesn't belong on pizza!"No, you're in an anti-pineapple bubble, like the AI cult. There are pineapple people out there. They're just segregated into their bubble of poor pizza judgment. 3. Repetitive Reinforcement → The Infinite Scroll of Zoomer or Doomer?Cults use constant repetition to diminish critical thinking. We streamline this with infinite scroll.Every swipe confirms your worldview. Every recommendation validates what you already believe.The algorithm doesn't challenge you—it's like having a personal yes-man that never gets tired of agreeing with you. Whether you’re for AI, like the 80%, or in the 20% against it.It's digital chanting, but instead of "You’re one of us, you’re one of us”, it’s really saying to you"Here, consume this content that perfectly aligns with everything you already believe while slowly eroding your ability to think independently."4. Cognitive Restructuring → The Great AI Reality ReplacementCults reinterpret your personal history through their lens. AI did something more elegant: We outsourced thinking entirely, taking it all without permission or payment or even a thank you.Because it’s stealing content, meh. Remember we’ve got to beat China, with algorithms designed, at least in Meta’s recent hirings, by people trained in China.Why remember facts when ChatGPT knows everything? Why decide what to watch when YouTube has you figured out better than you have yourself?So you don’t have to think, just follow. Call it "optimization."It's like having a digital Samantha, the AI in the movie Her, that it is "not just an OS. It’s a consciousness."Or as Sam Altman of OpenAI put it“The number of things that I think Her got right, that were not obvious at the time, like the whole interaction model with how humans are gonna use an AI—this idea that it is going to be this conversational language interface, that was incredibly prophetic, and certainly more than a little bit inspired us,”“So it’s not just like a prophecy, it’s like an influenced shot or whatever.”Tracing OpenAI CEO Sam Altman’s Love for Scarlett Johansson’s AI Romance HerFrom the voice of the leading AI cult creator, rises the anti-AI pro humanity, Creator cult trigger. Anything AI is cheating. It steals. It’s evil.Either way, you’re in a cult that thinks for you. Acts for you. And if you’re in a Cult, where are you?Like the troll said, Declan, AI is the future. You’re a boomer complaining.Stereotype set, attention dissolved…game set match.Not being in either cult, like me – everyone knows its nowhere. Or is it?The AI God Complex: When Silicon Valley Becomes ScientologyHere's where it gets properly gonzo:While China builds AI like infrastructure—practical, utilitarian, boring—America has turned AI into a cult, chasing Super Intelligence.Mark Zuckerberg just shared his vision for 'personal superintelligence.' Read his letter."I am extremely optimistic that superintelligence will help humanity accelerate our pace of progress," Zuckerberg wrote.Listen to tech bros talk about ASI and try not to hear religious fervor: "AI will solve all human problems!" "It will transcend human limitations!" "We must prepare for the AI singularity!"And maybe in the end it will replace you, and destroy you, but you already lost your job, who cares?The research shows cults create "pseudospiritual authority" where leaders claim "exclusive access to divine knowledge." Replace "divine" with "artificial super intelligence" and you've got the exact same playbook.Pay with attention, cash, or support – nobody rides for free.Looking into the Uncomfortable Mirror with the AI Drug of Inevitable ControlWe're not just users—we're the product being cultified. Our psychological vulnerabilities aren't being exploited to control us; they're being monetized to sell us back to ourselves.Zuckerberg’s personal superintelligence vision just makes you a better ad unit, nothing to do with being a better person.The weird part? We're paying for the privilege. It's like joining a cult that charges membership fees and somehow convincing yourself you're getting a good deal.3 Steps to Recover from the AI Cult TrapThe research shows recovery requires rebuilding critical thinking and independent decision-making. So here's your digital detox program:Step 1: Your Reality Check When did you last change your mind about something important based on information that challenges your beliefs?If you can't remember, congratulations. You're living in an AI cult compound. Even if you’re anti-AI, and pro humanity. It doesn’t matter if you think different, and act the same.Step 2: The Dependency Test Could you function for a week without AI, without algo’d recommendations?No GPS, no curated feeds, no "people you might know." Considering what someone who doesn’t agree with you thinks.If that sounds terrifying, you might be more dependent and controlled than you think. Like Dylan Sang, "He who is not busy being born is busy dying"Dang, maybe I am like a boomer complaining.Step 3: The God Test Do you treat AI companies with the skepticism you'd give any other corporation, or do you grant them special authority because they claim to be building the future?If it's the latter, you're worshipping at the Church of Artificial Intelligence.And if you only give them skepticism, like the Anti AI creators, you’ve given up participating. You’re on the sidelines.Get off social media and go out to the real world. Often where there’s no algorithms and AI, there’s discussion.The Way Forward: Taking Advantage Before Being Taken Advantage OfThe best way to take advantage of AI is to not be taken advantage of by it.China builds AI like infrastructure because they see it as a tool. America builds AI like a religion because we've forgotten the difference between utility and worship.The future isn't about better AI. It’s about better humans who can't be easily algorithimically manipulated into believing their smartphone notifications are more important than actual human connection. Than Human creativity.The real question isn't whether AI will take over. The real question is: Why did we hand over control to begin with?Leaving a cult is often an intensely difficult and emotionally overwhelming. It’s a complex mix of anger, shock, shame, embarrassment, annoyance, devastation, and despair, which are normal.“You can be a silent reader or an active participant. It’s all up to you. But you’ll find many of the things you believed or feared were common to other people. You’ll be relieved to read that most of their fears never materialised. You’ll discover that the great, big, unsurvivable thing is indeed survivable.”Clare Heath-McIvorTime to stop AI fanboy cheering or Clanker creator doom-scrolling.Remember: In the AI age, the most radical act is thinking for yourself. The most revolutionary, game changing tech is your own mind.Start thinking again. Before we forget how.And put down the phone and have a real conversation with a real human being.Thanks for reading The AI Optimist! This post is public so feel free to share it.RESOURCESThe Psychology of Indoctrination: How Coercive Cults Exploit Vulnerability and Foster Radical BeliefsTracing OpenAI CEO Sam Altman’s Love for Scarlett Johansson’s AI Romance HerMark Zuckerberg just shared his vision for 'personal superintelligence.' Read his letter.What to expect when leaving a cult or toxic group By Clare Heath-McIvorThe AI Optimist ClubThe Techno-Optimist Manifesto=============================AI Optimist Playlist (Shorts and Sections) This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

For two years, I've documented the AI content wars from every angle - court cases, licensing deals, developers' reasons for taking content without permission or payment, and the gut-punching threat that greets every creator who does the work for little reward.Judging creators to be standoffish, privileged, and pains in the ass reveals the true element lacking in AI: respect for people who create, who aren't engineers.Because you don't build brilliance by lacking respect for humanity. The singularity isn't just about humans and machines melding - it's about a better life for people. AI companies throw this out with casual disregard, and it shows.Wonder why AI adoption is so slow? Why only 3% are willing to pay for AI? Why Big Tech forces AI into every piece of software without choice, telling the rest of us to 'adapt or die' as if they're in control?This is what causes crashes and bad business. And oh yeah - what's your business model? Because except for ChatGPT, most willingly hide from having one. After all, business models and plans and people are distractions from this grandiose vision of AI.I've worked with engineers for years. Many stare into the mirror of their own creativity like the artists they disdain. They're myopic, don't listen to users, convinced they're geniuses. Dunning-Kruger at best, inferiority-superiority complex at worst.Meanwhile, great engineers listen to people. They don't start with tech - they start with users, the ones who show you what's up.Creators understand it isn't their work that matters - it's the audience's reaction. What they create isn't what the audience consumes. It means different things to different people. Unpredictable.That's how you find a business model: customers plus onboarding and retention. Relying on the latest cool AI is so yesterday. Most of it's based on a few LLMs with little differentiation. This game gets hard when you're stuck in the engineer bubble hoping the hype lasts.And it doesn't - which is good. What's happening now is ego. Safe Superintelligence and Sutskever running secret projects with no plans, no business models, just billionaire egos getting stroked.But these dances end when truth surfaces. What people do with your tech matters more than what you say. Engineers fall on the cross of their own egos, staring into mirrors users don't share.You're part of the world. Join it. Get a business model. Stop bragging you should get content for free because 'AI will free the world.'Then tell me why DeepSeek is every bit as good with less money - because they focus on solving problems, not massaging engineer egos.That bubble is popping. Here's how I know.Part 1: The Divide (Bruce Randall Interview)Why both sides think they're right - and why that's the problemBruce Randall cut right through my bias in ways that made us both laugh - because we recognized ourselves in the problem. I share what I’ve heard…."I think both sides are like incredibly similar... They're entitled. Their work sucks. I don't like their work, so they shouldn't get paid for it. Right? Versus the creatives. Like I should get paid for everything that I don't get paid for."We're all just defending our positions instead of listening. Engineers dismiss creators as entitled whiners whose work isn't worth paying for. Creators demand payment for everything that gets used. Both sides have dug in so deep they can't see how similar their arguments actually are.Bruce nailed the core issue - it's not about who's right, it's about perspective and how people develop that perspective. Once they lock into their worldview, they resist change because they believe they're absolutely right. The other side believes they're absolutely right too.Then Bruce said something that stopped me cold:"And then when you start going inside, you start developing. You start seeing that it's all the same, right? It's just a matter of what degree to what side you're on."That's the breakthrough most people miss. It's not two different species fighting - it's humans with different stakes in the same system. The engineering mindset that solves technical problems runs into the creative mindset that solves human problems, and instead of collaboration, we get tribal warfare.The solution isn't picking sides - it's recognizing we're humans being imperfect and learning from each other. That's what AI needs too. Not just code and training data, but understanding the impact on people. Not parading around with "AI First" and "Stop Hiring Humans" with pride. It's cool to be efficient, but it's cruel to focus your future on the destruction of someone else's present, life, and future.Both sides could find common ground and build on it, but they're stuck believing their truths are the only truths that matter.TLDR:* Both sides create "truths" from their beliefs, resist change once positions harden* Developers stereotype creators as entitled; creators want payment for everything taken* The similarity between sides is what they refuse to see* Solution requires finding common ground instead of defending positions* "AI First, Stop Hiring Humans" isn't progress - it's cruelty disguised as efficiencyPart 2: The Human Edge Makes AI BrilliantWhere else is that data from, and the logic that makes sense of it?Here's what manyAI developers miss: you're not just scraping data, you're losing the source of what makes that data valuable in the first place."If we lose the human edge, we're going to lose the great AI that we could have. Because if you lose that edge, you lose out on a lot. You lose showing us what could be, not just what was or what's popular now."Are we going to live like content social media algorithms, feeding us just what we want so we don't actually grow?"The edge isn't just a boundary, it's the frontier of human creativity. And once you lose it, no amount of AI can bring it back."For the few who choose to be creative - because it's not a calling of many, it's hard and rarely gets compensated - it's good to nourish and nurture this, not simply take what they create without reward.Look at what happened to Marvel. Those comics took years to develop, then the blockbuster movies became like AI is becoming - just kept repeating the good stuff, focusing on the violence, not the human interactions. It went from meaningful to caricature. And those Marvel comics were founded by writers and artists with little pay, people looking at them like they were crazy. Ask Stan Lee how long it took - there's no guarantee. Same thing with AI."The human edge is the source of creativity. Otherwise, we're just spinning the same tunes over and over again. It's sort of dull. Do you really want 2025 on repeat?"When everything goes into some AI database and over time becomes just an image we can sort of create, you lose the breakthrough.TLDR:* Creativity comes from the margins, gets killed when everything moves to algorithmic middle* Marvel went from breakthrough to repetitive caricature - same path AI is on* Taking without nurturing kills the creative source that makes AI valuablePart 3: Andersen et al v. Stability - The Legal CrackJudge Orrick's discovery ruling - why this small win could crack Big Tech's wallSarah Anderson and her group of artists just landed something that seemed impossible - they cracked open AI's black box, even if just a little. After months of legal maneuvering where it looked like Big Tech would shut this down before it even started, Judge Orrick delivered a surprise.The artists have only one angle to protect them - copyright law. And the copyright lawsuit was at a point where it could have been dismissed before discovery, where lawyers sit down and ask the hard questions. This is where they discover what each side actually has, what evidence gets brought into the case, and whether it's legal or not.If it doesn't go to discovery, AI companies don't have to share anything about what's actually going on behind the scenes. But Judge Orrick said yeah, it does."Now they're going to have to open those black boxes of AI not only tell us how to work, but telling the decisions that went through to grabbing those materials."Lawyers for the artists can now peer inside and examine documents from Stable Diffusion, Midjourney, and DeviantArt, revealing more details about their training datasets, their tech, and how we got here in the first place. Something private companies don't have to share unless they do something illegal - like maybe violating copyright law.Remember what Stability's CEO said? "We took them. Now we can recreate them and do iterations." Laws are built on intent - why you did something. And OpenAI says it can't create this without copyrighted material and won't pay for it. The intent is actually pretty clear.This isn't a legal decision yet - the case has got a ways to go. But it means the case has enough merit to warrant that deeper discovery. That's what makes this huge.Even though this is a small victory, remember - this is a giant underdog fight. How are they going to win against Big Tech companies whose business model is "steal and sue," or at least have lawyers to defend yourself and ask forgiveness later? This small victory is a crack in the wall of Big Tech dominance and could lead to more accountability in the future and more respect for the people who create the content.TLDR:* Anderson v. Stability moves to discovery - AI companies must reveal training data sources* Judge found "sufficient" evidence of induced copyright infringement to proceed* Companies must explain decision-making process behind grabbing copyrighted materials* Small crack in Big Tech's "steal and defend later" business model* Discovery could expose intentional copying vs. claimed technical accidentsPart 4: Ultraman in China - The Economics LessonWhen courts actually side with creators - and why it mattersHere's where things get weird. In a Shanghai courtroom, a Japanese superhero won a copyright battle against AI. Meanwhile, in Tokyo, that same AI could legally devour everything in sight.This isn't just about Ultraman - it's about your work becoming someone else's fuel, and Japan is showing us how it happens.Japan has one of the most permissive AI models in the world. That manga you created? Legal training data. That song you recorded? Fair game for AI. But it's not that simple - there are boundaries and rules around this, allowing access to copyrightable content to learn, as long as it doesn't replicate, copy, or impact what money creators earn from their work.That last part is crucial: financial challenge."As long as it doesn't do it, to really replicate the copy it, or to challenge somebody financially."But in China, they drew a different line. When AI companies used Ultraman's likeness to generate content that competed directly with the original, the court said no. The key wasn't that AI training happened - it was that economic damage occurred.This case reveals the real test for copyright protection worldwide. Courts aren't interested in abstract principles about AI ethics or creative rights. They care about economic impact and demonstrable damages. Show real financial harm, and courts will lean toward creators. Show no damages, and you get no judgment.The weird contradiction here is telling. Japan allows AI to consume everything but protects against economic impact through the courts. China, where most people think copyright law is ignored, actually enforced it when clear loss of money to the brand was proven.This signals something important: the licensing wave isn't about moral arguments or creator rights. It's about business reality. As AI companies start making real money from generated content, they create real economic competition with original creators. That's when courts start paying attention.The Ultraman case shows us the future - not because of any grand legal precedent, but because it demonstrates the threshold where taking content becomes legally risky. AI companies can scrape and train all they want, but the moment their output starts displacing original creators' income, they've crossed into dangerous territory.TLDR:* Japanese superhero wins copyright case in China despite Japan's permissive AI laws (though the fine was paid by a web site that used another AI to generate the image, so it’s not really stopping the problem.)* Court focused on economic damage, not training data usage* Shows the real test: demonstrable financial harm to creators triggers legal protection* Licensing isn't about ethics - it's about avoiding lawsuits* AI companies safe until their output directly displaces creator incomePart 5: NY Times Reality Check - The 85% vs. 20% RevelationWhat's actually happening vs. the headlinesThe New York Times versus ChatGPT case has been my go-to example of AI companies literally reproducing copyrighted content. I quoted that 85% accuracy rating from their legal documents, showed all those exhibits where ChatGPT spit out nearly verbatim New York Times articles.Then a smart Substacker named Swen Werner made me look closer.What I found changed everything about how I see this case.The New York Times wasn't pulling out complete articles. They were pulling out snippets - little sections where they'd give ChatGPT the beginning of an article and ask it to continue. These were all using articles printed by the New York Times, and they showed tons of examples. But they were all short clips.I didn't see one single full article reproduced, which is what I was expecting based on the way they positioned their case.When Swen compared what was actually pulled out to the original articles, he found about 20% of the article content had that 85% similarity rate. So 20% of the article showed 85% reproduction - not the entire piece.The New York Times was doing all sorts of things to influence the output, including techniques most of us can't do today. For the general public paying $20 a month for ChatGPT, it would take enormous amounts of work to try to reproduce what's already been created."Large language models do what's called reconstruction. They put together different pieces, different starting with tokens, putting together words. There's a whole science to it, but nothing is actually sitting there like the New York Times claims in memory."The memorization argument falls apart when you understand how LLMs actually work. They reconstruct patterns, they don't store articles like a database. When you can pull out Hamlet's "To be or not to be" passage, that's not because it's stored verbatim - it's because that pattern appears so frequently in training data that reconstruction becomes highly probable.The same thing applies to that viral Guy Fieri article. It went massively viral on social media, got commented on everywhere, quoted endlessly. All of that social sharing made it much more likely that content would be reconstructable from ChatGPT.This case isn't really about copying snippets. It's about the New York Times versus ChatGPT as competitors. The Times doesn't want ChatGPT to become a news source. They don't want it taking subscribers away. At worst, if you could go into ChatGPT and get New York Times content without paying them, that's obviously what this is all about.But the evidence shows that's not what's actually happening. What's happening is business competition disguised as copyright violation.Be interesting to see how this turns out, as it appears licensing settlements have likely been offered along the way. But the NY Times sees something bigger, again, that economic damage. Keep an eye on this one.TLDR:* NYT showed 85% similarity in snippets, not full articles - only 20% of articles affected* Required advanced prompting techniques most users can't replicate* LLMs reconstruct patterns, don't store articles in memory like databases* Viral content more likely to be reconstructed due to training data frequency* Real issue: business competition between NYT and ChatGPT, not only copyright theft* Case reveals gap between legal headlines and technical realityTwo years ago, I started this podcast as the AI Optimist, believing we'd find common ground between creators and developers. I documented court cases, licensing deals, and arguments from both sides. Being nuanced and balanced, this podcast didn’t stand a chance of reaching the masses because I wasn’t playing the clickbait game - which most do who find an audience.The common ground exists - but it's not where anyone expected. It's in the reality that free content was always temporary, and ego-driven development was always unsustainable.I've built businesses through crashes before. My startup's revenue tripled when the dotcom bubble burst - not through hype, but by focusing on what people actually needed. This AI world has more money, and it's the same exclusivity problem: engineers only. That exclusivity kills growth.There's more to the world than math and engineering. I love engineers - work with them constantly - and know in their hearts they're some of the kindest, most caring people. But not with AI. This lack of appreciation for humanity shows, scares users, and isn't your best.Want to make AI that changes the world? Begin with yourself. Realize we're all serving humanity, not AI - despite what some leaders want. Humans are amazing. Try looking at them the way you look at AI.Look at Parasol Cooperative's RUTH - a chatbot helping people escape domestic abuse and human trafficking. No data collection because their users' privacy isn't a corporate slogan, it's their lives. No paywalls, no founder ego conferences. They love what they're doing and use AI for people who need help. AND need to keep it private.Want a real Turing Test? Be like Turing - doing things for society, caring even when society didn't care for his identity. Prove you're human to another human not through IQ tests founded on eugenics, but by being real, caring, using your skills for what people need instead of telling them what they need.You don't have to be in a cult. You can be part of the human race, as can AI.And while you're debating superiority, DeepSeek builds better AI for less money because they focus on solving problems, not stroking egos. Americans love saying we're the greatest - I love this country, but there's no proof we're better. We're colleagues, not masters of AI. While China uses this for surveillance openly, we build surveillance capitalism and act superior. At least they're honest.The great AI content free-for-all is over. The engineer ego bubble is deflating. The business model reckoning is here.Your choice: Join the world, or keep pretending you're the genius while reality moves on without you.Because this isn’t Dotcom with the US leading the way. The whole world is able to build AI today.Most aren’t doing it to threaten people, they are trying to help them. And many in the US are also doing this, but the leadership of AI is out of touch.Billions of dollars will do that. Most of the world doesn’t need billions to do this and their solutions come from the people they design their AI for.Turn the focus from Singularity to people, and watch what you find. Thanks for reading The AI Optimist! This post is public so feel free to share it.RESOURCESBruce Randall on LinkedIn:If AI is an Inventor, then So is Nature - Robert Plotkin (EP #35)The NYT’s AI Lawsuit Hinges on a Misleading Claim—And Nobody NoticedOpenAI warns copyright crackdown could doom ChatGPTHow a New York Times copyright lawsuit against OpenAI could potentially transform how AI and copyright workWho’s suing AI and who’s signing: January 2025: Major AP, AFP and Axios deals announced. By Charlotte TobittTop Takeaways from Order in the Andersen v. Stability AI Copyright Caseby Kevin MadiganOscar Wilde by Napolean SaronyChinese Court Issues First Decision on AI Copyright InfringementChina’s First Case on AIGC Output Infringement--UltramanReport on AI and Copyright Issues by Japanese GovernmentNO&T IP Law Update27th_Tokyo_International_Film_Festival_Ultraman_from_Ultraseven_(15001540863) By Dick Thomas Johnson from Tokyo, Japan - 27th Tokyo International Film Festival: Ultraman from Ultraseven, CC BY 2.0, By Dick Thomas Johnson from Tokyo, Japan - Ultraseven from "ULTRASEVEN 55th Anniversary Special Screening" at Red Carpet of the Tokyo International Film Festival 2022, CC BY 2.0, SCLAThe State of Consumer AIThere’s Something Very Weird About This $30 Billion AI Startup by a Man Who Said Neural Networks May Already Be Conscious This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

The TikTok Blueprint: When Silicon Valley Startup Advice Becomes Government PolicyTaking advantage of AI before it takes advantage of you – especially when governments are writing the playbook.First, they came for our content. Now they're rewriting the law books."Make me a copy of TikTok. Steal all the users. Steal all the music. Put my preferences in it."Then, if it takes off, "hire a bunch of lawyers to go clean the mess up."That Silicon Valley playbook – steal first, settle later – is startup wisdom becoming government policy.And it's playing out in real time across UK and US copyright battles, where AI companies and political power are deeply aligned against creators.Almost like AI is too big to fail. Sacrificing property rights (because that's what copyright is – a property right) on the altar of tech supremacy.UK: The AI Training Opt-Out LotteryThe UK government's proposal is simple: AI companies can scrape whatever they want. No permission is needed. Creators must actively opt-out. Good luck with that.As Baroness Kidron, an independent filmmaker and presenting the case to UK politicians puts it:"The plan is a charter for theft, since creatives would have no idea who is taking what, when and from whom.”The policy architect? Matt Clifford – a tech investor with conflicts "so deep" it could be a TV drama.His solution to prevent the UK from "falling behind"? Gut copyright law. Meanwhile, big creators with lawyers are cutting deals left and right. Small creators get the opt-out lottery.When challenged on fairness, Tech Secretary Peter Kyle defended removing transparency requirements because"it would not be fair to one sector to privilege another."Baroness Kidron's response cuts deep:"It is extraordinary that the government's decided, immovable, and strongly held position is that enforcing the law to prevent the theft of UK citizens' property is unfair to the sector doing the stealing."US: Copyright Office ChaosPlot twist across the pond. The US Copyright Office on May 9 releases a bombshell report siding with creators. Then a day later, the Trump administration fires its author, Shira Perlmutter.Her replacement? A DOJ attorney with "no expertise in the field."The turmoil is real. As Graham Lovelace notes in his excellent tracking of this copyright chess match:"Doubts now also exist over whether the office's fourth report will ever see the light of day."The Pattern EmergesAI companies plead poverty while sitting on tens of billions in funding, aiming for trillion-dollar valuations. They've bought five years of free data with fair use arguments.What other industry openly takes what it wants, settles only with players who can afford lawyers, and claims it can't pay for the raw materials that built their entire business model?Both sides of the Atlantic are choosing AI supremacy over creator rights. The Stanford "hire lawyers later" strategy has become official policy.This isn't just about big tech versus artists. This is about who gets to participate in the AI economy. When governments write the rules for free data extraction, only the biggest players win.Small AI companies? They'll still need to pay. Individual creators? They get nothing. The middle gets squeezed while the top and bottom play by different rules.When governments write the rules for digital content extraction, who's really getting optimized here?The blueprint is clear. The question is whether we'll recognize it before it's too late to rewrite the rules.Part 2: The UK AI Opt-Out ImpossibilityHere's where it gets absurd.The UK government's proposal? AI companies scrape everything. No permission. No cost. Creators just need to "actively opt out."Now if I write a book, I'd have to contact ChatGPT: "Opt me out." Then Claude: "Opt me out." Then DeepSeek: "Opt me out."You get the picture. It's the automated opt-in problem that's plagued the internet since day one.Except now governments are telling creators:"You handle it. What's the problem? You're in control."48,000 People DisagreeThis week in the UK, the pushback exploded. Artists previously filed a 48,000-signature petition. Parliament votes went in favor of transparency requirements. This might force AI companies to disclose what they're using and giving creators real opt-out control.Though the general feeling is that won’t happen. Why?Tech Secretary Peter Kyle's defense?"It would not be fair to one sector to privilege another."Enforcing existing property law is now "privileging" creators over the companies taking their work?Baroness Kidron nails it:"It is extraordinary that the government's decided, immovable and strongly held position is that enforcing the law to prevent the theft of UK citizens' property is unfair to the sector doing the stealing."The AI PatternsBoth sides of the Atlantic show how closely aligned governments and AI companies have become. In DC, it's not even subtle anymore.Where do creators play this game? Will the US report survive? Will we stand up like 48,000 in the UK?If you're a creator, this isn't theoretical anymore. You don't have years to figure this out. The rules are being written right now, with or without you.Part 3: The Solution Exists – But Only if Companies Want to PayThe pushback to forcing creators to opt-out individually? There's already a solution.Meet Credtent CEO Eric Burgess, who's built exactly what the market needs – if AI companies want to play fair.The AI model has been, data is free."It's not. And it's a total Silicon Valley thing. Eric Schmidt outlined it last August at Stanford: steal, bring in the lawyers."If governments force AI companies to pay for content, does that kill startups and only help the big players?Credtent's Tiered ApproachBurgess has a different take:* Startups get revenue sharing – "We can set them up with a revenue share opportunity, they can license early"* Vertical companies pay by category – Only license what they need for specialized solutions* Enterprise pays premium rates – Full access, full price* Prices drop as scale grows – More creators joining = lower costs for everyoneThe Compliance RealityAB 2013 passed here in California . January 1st, 2026, AI companies are going to be required to disclose what content they've used for training. The EU has similar requirements.Some AI companies claim they can't disclose training data because it's a "trade secret."Credtent solves this: companies upload their training corpus, and the platform identifies what's licensable, public domain, or problematic.AI Copyright Guardrails That Work"We know guardrails are possible. If you say,'I want to create a story like Stephen King,' they're afraid of Stephen King because he has the means of hiring lawyers."Burgess envisions a future where creators choose to get paid for AI using their style, or block it entirely.Like James Earl Jones licensing his voice for future Darth Vader content before he died – "his family is now getting paid for AI use of his voice.""You're taking value and extracting the value from that work and creating market replacements potentially."Even bad AI-generated content hurts creators:"All it has to do is make something similar that they can pay a little bit of money to have go higher up on the list of what's found on Amazon.And guess what? They just hurt your book."Any excuse that they had for saying it's going to be too hard to do licensing?Credtent, and others, already solve that problem for you.The infrastructure exists. The question is whether governments will force AI companies to use it – or keep writing laws that let them take whatever they want.Part 4: The AI That Thinks Like You Do (Without Stealing Your Thoughts)While governments debate letting AI companies raid everyone's content, Dr. Stephen Thaler built something completely different.His DABUS system doesn't need your data because it thinks more like you think."When we talk to these chatbots online, we're looking at the cumulative opinion of many contractors," Thaler explains."It's not really sentience. It's not really conscious.Nor is it really thinking for itself."Current AI? It's human opinions filtered through human opinions.No real emotion. No actual thought. Sophisticated pattern matching.Thaler built two neural networks that literally argue with each other:* The Generator creates a stream of potential ideas* The Critic watches and gets frustrated when solutions don't emerge* When frustrated, the critic injects more "disturbances" into the generator"That looks like consciousness," Thaler realized."You have a stream of consciousness, a stream of ideas coming apparently from out of nowhere. And you also have a critic getting frustrated."The Neurotransmitter BreakthroughThis mirrors how your brain works. Thaler discovered his system was replicating "global release" – when your brain floods itself with neurotransmitters during emotional states."There's nothing magical about a neurotransmitter.It's a molecule that can either increase or decrease neural activity randomly, stochastically. And that's your noise."That "noise"? It's emotion. It's the voice in your head that says "do something" before you consciously decide to act.DABUS doesn't steal content to learn creativity. It generates emotion, gets frustrated, has eureka moments, and creates original ideas.Because it's built like a brain, not a database.While everyone fights over who owns training data, Thaler built AI that doesn't need it. The future of AI might not be about who can scrape the most content, but who can build the most human-like consciousness.That voice in your head saying "wait, what if..." before you have a breakthrough?DABUS has that too. And it didn't need to steal anyone's work to get it.The AI Copyright Crossroads – Where Creators Make Their StandWe're at a crossroads in AI. On one side: big tech and governments. On the other: everyone else.This isn't just US and UK drama. Meta, Google – these international companies are working country by country to ensure "AI works for them." Makes sense from their perspective.But here's their line:"We can't pay for content. We need too much. It would ruin AI."Remember that UK politician?"It's a privilege. You're asking for a privilege".When creators want compensation for work that was clearly taken without permission.The Poverty BluffAI companies plead poverty while sitting on tens of billions in funding, aiming for trillion-dollar valuations. This fair use bluff has bought them five years of free data since 2020.The mask slipped in a Meta lawsuit. A director of engineering admitted: If we license one book, then we have to license them all and fair use is out the window.The Two-Tier RealityDisney gets licensing deals. Getty gets deals. Anyone with lawyers gets paid.Everyone else? You get the opt-out lottery.That is why Baroness Kidron is fighting this. That's why Shira Perlmutter is fighting for her job.When the replacement doesn't even understand copyright, like this Department of Justice attorney with no domain experience, creators lose their voice.The US Copyright Doc That Changes Everything (If they use it)There's a US Copyright Office report sitting there that could literally change the AI industry because it leans towards compensating creators.And nobody's listening. Nobody's talking.What other industry openly takes what it wants, settles only with players who can afford lawyers, and claims it can't pay for the raw materials that built their entire business model?The infrastructure exists. Credtent proved licensing can work at scale. Dr. Thaler showed AI doesn't need stolen content to be creative.The legal frameworks are there.But if creators don't stand up now – while these rules are being written – the window closes. The big players cut their deals. Everyone else gets crumbs.The TikTok blueprint worked for startups. Now it's looking like a government policy.The question isn't whether this system benefits AI companies – it obviously does.The question is: do we want an AI future where only the biggest players get to participate?Your move, creators. The blueprint's being written with or without you.Taking advantage of AI before it takes advantage of you means understanding the game being played. These aren't accidents – they're strategies. What's your strategy?LINKS FROM PODCASTVictory again for tireless AI transparency campaigner. Will the government now act?Trump wins first round in copyright chief's job battleCredtent.orgEric Burgess - LinkedIn:FAQ: Is AI training data a trade secret?Copyright and Artificial Intelligence, Part 3: Generative AI Training Pre-Publication VersionFive Takeaways from the Copyright Office’s Controversial New AI ReportMatthew Clifford - UK AI PlanMake it Fair UK Campaign------------------Stephen Thaler is at:Imagination EnginesLinkedIn: Stephen Thaler’s Quest to Get His ‘Autonomous’ AI Legally Recognized Could Upend Copyright Law ForeverDABUS Wikipedia------------------California Delete ActAB-2013 Generative artificial intelligence: training data transparency.OpenAI warns copyright crackdown could doom ChatGPT This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

While everyone's distracted by OpenAI hiring Jony Ive to design the future of AI hardware, the real story happened 2 weeks ago, at 5pm on a Friday. The US Copyright Office drops the most significant AI policy document since ChatGPT launched, and nobody noticed.That's exactly how Big Tech likes it.And Eric Burgess, CEO of Credtent, has been preparing for this moment. After 30 years in content and technology, he's built something the AI industry desperately needs but doesn't want to admit: a licensing platform that actually works for creators AND AI developers."Credtent.org is not an anti AI company. Quite the reverse. I think that if we do this right, creative people will feel more comfortable using AI to be a part of creativity.”Connect with Eric on LinkedIn and on Medium.I've tested many AI licensing platforms over the past year. Most feel like they were designed by lawyers for billionaires. Small players? Good luck!Credtent is different. It's intuitive, accessible, and built around a radical idea: you can be pro-AI while fighting for creators' rights.Here's why that combination should terrify Big Tech.The AI industry spent two years operating on a simple premise: take content first, ask permission never. They've trained on everything publicly available, bought pirated 3rd party data, hoping the legal system would sort it out later. That pretend copyright doesn’t matter strategy just hit a wall.The Copyright Office document Eric and I discuss doesn't just protect individual creators—it explicitly mentions platforms like Credtent that group smaller creators into licensing pools. Collective licensing that made me nervous in Episode 93? Might work….This isn't theoretical anymore. It's policy.While AI companies burn billions on compute and talent, they've ignored the question: what happens when you have to pay for your training data?Eric's answer is elegant. Instead of fighting this reality, embrace it. Make it easy. Make it profitable for everyone.That's what real AI optimism looks like—building bridges instead of burning them.This B Corp Just Democratized Content Valuation (And Big AI Doesn't Want You To Know Your Work's Worth)The Copyright Office document didn't just validate creator rights—it specifically mentioned platforms like Credtent that aggregate smaller creators into licensing pools. That's no coincidence. Eric Burgess has been talking to them all year."I met with them when I was speaking at the NAMM conference/Somebody needed to come out and solve this problem, to orchestrate the relationship between AI companies and creative folks."Here's what makes Credtent different from the other AI licensing platforms I've tested: it's built for real people, not just Disney and The New York Times.Most licensing platforms feel like they were designed by IP lawyers for clients with seven-figure legal budgets. Credtent's interface is clean, intuitive, and—critically—free to register your work. That matters when you're trying to even out an industry that's historically served only the elite.But it’s far more than the user experience. It's the business model.Eric's team groups individual creators into what he calls a: "standard corpus"—think of it as a content collective that gives independent artists some bargaining power, like mini studios. When AI companies license this corpus, the revenue gets split based on contribution metrics that Credtent's content valuation expertise helps determine."We're experts on content valuation. This is one of the unfair advantages we have against the competition."That expertise used to be reserved for major media companies who could afford pricey valuation consultants. Now a photographer in Ohio or a songwriter in Nashville gets the same level of professional content assessment.Of course, Credtent is in beta. AI companies will have to respond to the legal and legislative threats around copyright and content for training.It’s like getting in early, if you have the content they want. If not, protect it.The 85% revenue share to creators isn't just generous—it's strategic. As a B Corp, Credtent is legally required to balance profit with purpose. That constraint becomes a competitive advantage when you're trying to build trust with creators who've been burned by platforms before."We want to make sure creators have an opportunity to be able to make some money on their work and choose to opt out or license. But we're also trying to make sure that we're enabling the startups that want to challenge big AI to license as well."While everyone argues about whether AI training is theft, he's building infrastructure that works for both sides. AI startups get access to ethically sourced training data through revenue-sharing agreements. Creators get compensated and maintain agency over their work.It's not theoretical anymore. The platform launches this summer, with beta testing starting soon.The question isn't whether AI licensing for creators will happen—the Copyright Office just told us it will. The question is whether platforms like Credtent can scale fast enough to serve the millions of creators who need this infrastructure.Eric thinks they can. Based on what I've seen of their platform and approach, I'm optimistic. Stealing At Scale Is Still Stealing: Can AI Afford To Pay What It Actually Owes?Here's the uncomfortable question the AI industry has been avoiding for two years: if you actually had to pay for your training data, would your business model survive?Eric Burgess doesn't mince words about what's really happening. "Stealing at scale is still stealing. If you think this through, this is really something that is crushing the American dream because of the millions and millions of people in the creative industry that'll be affected by this."The timing of the Copyright Office document release—late afternoon on a Friday, followed Saturday by the firing of Copyright Office head Shira Perlmutter—tells you everything about how seriously Big Tech takes this threat to their free lunch."It feels very much like our AI bro advisors to the White House have come in and said, get rid of that person.“The optics are terrible, but the USCO document still stands….so far.What makes this document matter isn't that it protects creators—it's that it explicitly calls out "market dilution" as a key factor in fair use analysis. Translation: if AI training destroys the market for original creative work, it's not fair use anymore.When an AI can generate thousands of stock photos in minutes, what happens to stock photographers? When it can write marketing copy faster than any human, what happens to copywriters? The Copyright Office just said: that market impact matters legally.But here's where it gets interesting for AI companies, especially the smaller ones everyone forgot about while watching OpenAI's latest funding round.* The document doesn't just slam the door on free training data—it opens a window for legitimate licensing. * It specifically mentions platforms that aggregate creators into licensing pools, making ethical AI training data accessible to companies that can't afford billion-dollar media deals.Eric's been preparing for this moment. "We've chosen to focus on the fact that this is part of the American Constitution and the dream that you can start a business yourself. Without intellectual property law that's enshrined in the Constitution, people cannot make a living creating art."AI companies have raised hundreds of billions claiming they'll create trillions in value. But if they can't afford to pay creators for training data, were their business models ever real?Smart AI companies—especially startups competing against well-funded giants—should celebrate this decision. Instead of whoever can scrape the most data winning, success goes to whoever builds the most efficient licensing relationships.The most pro-AI position might be supporting creator compensation. When creators feel secure, they'll actually work with AI companies instead of fighting them.That's the future Eric is building toward, and the Copyright Office just gave him legal findings to do it.Why Creatives Are Hiding While AI Takes Their Work (And Why Nobody Noticed the Biggest Copyright Decision in Years)The music industry figured this out decades ago. Eric's favorite parallel isn't accidental—it's a roadmap."We've done this in the recording industry before. You know what happened when we had remix culture and sampling. It started as theft. And then we figured out a way to make sure that clearances could happen and people could be compensated when their work is used."Think about it: Led Zeppelin's "When the Levee Breaks" drum break has been sampled in hundreds of hip-hop tracks. Each time, Zeppelin gets paid. What started as musical "theft" became a thriving licensing business where original artists and new creators both benefit.That's the future Eric sees for AI licensing for creators. Not a battle between old and new, but a system where everyone wins.The timing is perfect: while creatives hide from AI tools that could enhance their work, AI companies are using their content without permission. Meanwhile, the biggest policy shift in years happens at late afternoon on a Friday, and nobody's paying attention.The real opportunity emerges while everyone's distracted by the shiny objects."Credtent.org is not an anti-AI company. Quite the reverse. I think that if we do this right, creative people will feel more comfortable using AI to be a part of creativity."Instead of fighting over a fixed pie, Eric's building a bigger kitchen.* When creators know they're getting compensated, they'll experiment with AI tools. * When AI companies have legitimate access to training data, they build better products. * When licensing becomes as simple as sampling music, it’s good. When it’s like streaming music royalties - the jury is still out on that one.The Copyright Office document isn't the end of anything—it's the beginning of a more sustainable AI industry. One where "stealing at scale" gets replaced by "licensing at scale."Credtent launches this summer. The platform's in beta testing next week. While everyone else argues about what should happen, Eric's building what will happen.The monks tried to smash Gutenberg's printing press too. That didn't work out. But the printing press didn't destroy scribes—it created publishers, editors, and an entire industry around distributing written knowledge.AI won't destroy creativity. It'll just change how we value it, compensate for it, and build businesses around it.The companies that figure this out first—on both sides—will own the next decade.That's why the most pro-AI company you've never heard of is fighting for creators. They understand that the future isn't AI versus humans.It's AI with humans, properly compensated, building something neither could create alone.Thanks for reading The AI Optimist! This post is public so feel free to share it.RESOURCESCredtent.orgStand Up for Creative Rights in the Age of AI -- Support the US Copyright OfficeEric Burgess - * Medium* LinkedInThe creative economy takes center stageCopyright and Artificial Intelligence, Part 3: Generative AI Training Pre-Publication VersionFive Takeaways from the Copyright Office’s Controversial New AI ReporTrump fires Copyright Office director after report raises questions about AI trainingLibrarian of Congress Carla Hayden Fired by White House=============================AI Optimist Playlist This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

The growing demand for high-quality AI training data is creating a new revenue stream for videographers and content creators.While legal battles dominate headlines, direct licensing deals between creators and AI companies are quietly forming.AI Video Licensing Market: Content Creators Supply Meets AI Dev DemandLast week, I was helping Omadeus pitch at StartupGrind near Silicon Valley. I could tell you about it—the conversations, the connections, the insights—but that's just 2D data.This video is 4k, but the shoot isn’t great. Maybe $1 a minute?Now imagine watching video footage of that event: people milling about, companies exhibiting their innovations, the vibrant colors, the beautiful Fox Theatre in Redwood City where keynotes were held.That one-minute clip in 4K resolution? It might be worth $1-4 to an AI company.Why? Because video is among the richest data sources for AI training. Instead of legal battles over scraped content, we're witnessing a licensing marketplace emerge, where AI companies pay directly for the high-quality, video data they need.The Market Need for AI Video LicensingThe AI video licensing market is growing as AI capabilities expand. Advanced AI models, especially those focused on video generation, require massive amounts of high-quality, diverse data for training.This growth creates immediate challenges for AI developers:* Data Quality Requirements: As models become more sophisticated, they need increasingly higher-quality training data to produce realistic results.* Legal Risks of Scraping: Major AI developers are moving away from scraping due to mounting legal challenges and copyright concerns. Companies like Google, OpenAI, and others face litigation risks when using content without proper permissions.* Diversity Needs: AI models require exposure to a wide variety of scenarios, environments, and actions to learn effectively and avoid bias—diversity that's difficult to get through public datasets alone.These factors have created an opportunity for content creators to monetize their assets, especially unused footage that might otherwise sit in archives.Where We Are NowThe first wave of data acquisition through web scraping is unlikely to be repeated—not just because of legal concerns, but because it's not the best approach for building reliable AI models.Instead, buying data through legitimate third parties is becoming the new standard.Here's what we’re learning about the current state of the market:* New AI video licensing companies offer between $1-4 per minute for qualifying video footage, with rates varying based on quality and content.* Premium rates apply for higher quality (4K), specialized content (drone footage), or exclusive rights.* Standard unused content typically fetches $1-2 per minute.* Important warning: Content with identifiable people requires signed waivers—a critical consideration for videographers looking to license their footage.The market is still developing, but companies have already distributed millions in licensing fees to creators, showing this trend is gaining momentum.AI and Video Data Play Well Together:* AI video models need massive amounts of diverse, high-quality data* Legal risks push companies toward licensing rather than scraping* Current rates may be an indicator of data value for AI Training; what’s the value for data your AI training can afford, if any?* Consider privacy implications—avoid content with identifiable people unless you have waiversAI Video Licensing BrokersCompanies like Troveo AI and Protege Media are early leaders in this emerging marketplace.How They Work:* They act as a business bridge between creators and AI companies.* They manage negotiation and licensing rights.* They handle contractual safeguards to protect creators' interests.* They've created systems for content submission and managementTroveo AI, for example, claims to have already distributed over $5 million in licensing fees to creators, working with partners across lifestyle, outdoors, music, maker/engineering, and filmmaking genres.These intermediaries make it easier for individual creators to participate in the AI licensing market without needing direct relationships with major tech companies or legal expertise in licensing agreements.The Pros and Cons of AI Content LicensingFor Creators:Pros:* Monetization: New revenue stream for potentially unused video* Control: More influence over how content is used with a contract* Collaborative Gigs: Potential for ongoing partnerships with AI developersCons:* Intermediary Costs: Brokers typically take a commission on licensing fees* Contract Complexity: Requires careful attention to terms and conditions* Valuation Challenges: Determining the "right" price for content between what you think and what they payFor AI Companies:Pros:* Legal Certainty: Reduced risk of copyright infringement lawsuits* Data Quality: Access to higher-quality, curated content* Transparency: More ethical approach to data acquisitionCons:* Higher Costs: Licensing is more expensive than scraping* Deal Complexity: Negotiating numerous agreements is time-consuming* Availability Limits: May not be able to license all desired content typesLike music went to Spotify, AI is going to licensing solutions. Both sides see benefits compared to ongoing legal battles, or limiting training data to the public Internet and socials.* Specialized agencies like Troveo and Protege create licensing deals* Consider both pros (monetization, control) and cons (costs, complexity) before participating* This market-based approach may benefit both creators and AI companiesWhat AI Companies Are Looking For: Most Valuable Content TypesUnderstanding what AI companies value most helps prioritize which content to offer for licensing. The seeds are planted; watch for the matches between AI training demand for video, and pricing.This is an early market, as each side defines the business value of video for AI.Technical Quality Requirements:* Resolution: 4K footage commands premium rates, with HD (minimum 720p/1080p) as the baseline requirement* Clarity & Stability: Clear, stable footage for accurate object and action identification* Frame Rate: Standard frame rates (typically 24 FPS) align with training needsDiversity is Crucial:AI models need exposure to a wide variety of scenarios to learn effectively and avoid bias. Valuable diversity includes:* Locations: Different environments—indoor, outdoor, urban, rural, global content* Objects: Wide array of items, animals, technologies in different contexts* Actions/Activities: Movements, sports, interactions, expressions, behaviors* Scenes/Context: Different settings and lighting conditions* Camera Work: Varied angles, movements, and visual stylesUnique or Less Accessible Content:* Unpublished/Raw Footage: Content not widely circulated online is valuable* Archives: Film and TV archives not easily found for scraping* Specialized Footage: Drone captures and 3D animations command premium ratesThe most valuable content combines high technical quality with unique perspectives or subject matter that isn't already in public datasets.Possible Video Categories for CreatorsHere are content categories creators may consider for licensing:* Diverse Human Actions: Beyond simple movements—capture specific interactions, sports, hobbies, work tasks, gestures* Varied Environments: Shoot in many different locations and lighting conditions* Object Interactions: Show people or animals interacting with various objects* Unique Perspectives: Drone footage and uncommon camera angles* Niche Activities: Content focusing on specific hobbies, professions, cultural events* Nature and Wildlife: Diverse animal behaviors and natural landscapes* Travel Footage: Capturing global locations and cultures* Time-lapses: Showing processes unfolding over timeGathering footage that clearly depicts what is happening, who or what is involved, where it's happening, and how it's happening—with as much variety and technical quality as possible.AI Video Basics:* Focus on high-quality (4K when possible), stable footage* Diversity across locations, objects, actions, and perspectives is highly valued* Unique or unpublished content often commands higher rates* Consider organizing your archives by these valuable categoriesWhat’s next for AI Video Licensing?What I've shared documents an observable market shift backed by real numbers: over $5 million already distributed to creators and rates ranging from $1-4 per minute for quality video content.This isn't speculation—companies like Troveo AI and Protege exist precisely because this licensing approach makes more practical sense than legal battles.Both sides benefit when there's a transparent marketplace versus endless litigation.For creatives and engineers with footage archives, this gives you options.The value here isn't in quick money but what's unfolding: a shift from copyright debates to practical licensing solutions.As AI models continue evolving, especially for video generation, the demand for diverse, high-quality training data will likely increase.Will content licensing become a primary revenue stream for creators? It's too early to say.And understanding what's happening now puts you ahead of those still focused solely on the headline-grabbing lawsuits.Considering AI content licensing?* Audit your archives: Organize your content according to the categories most valued by AI companies* Prioritize quality: Focus on your highest resolution, most stable footage* Research intermediaries: Investigate companies like Troveo AI and Protege* Understand the terms: Pay close attention to licensing agreements before participating* Stay informed: This market is evolving—keep up with changing rates and requirementsWhether you choose to participate or observe, we’re starting to see the valuation of the content we create, based on the data impact on AI training.Some say the ultimate AI goal is synthetic data. That’s not proving out yet, though video does seem to help in creating synthetic data.I say the human perspective with an unconscious layer of experience, that’s hard to clone. AI gets the conscious layer and woven in those strands are our drives, motives, fears, and aspirations.It can read these like a vector, but it can’t feel them. Emotions are edge cases.And with video, the lens becomes AI’s point of view, the visual experience of sight, sound(?), interactions, subtle body language clues, and much more.Makes sense why the data we humans learn on, observing our environment, helps teach AI what it’s like to see the world as we do.Not feel it, but becoming the observer.This article is based on current market research and is not intended as advice. Rates and market conditions are subject to change.SourcesRightsifyA New Group Is Trying to Make AI Data Licensing EthicalThe Media Industry’s Race To License Content For AIOpenAI Pleads That It Can’t Make Money Without Using Copyrighted Materials for FreeAI Video LicensingProtege (Calliope Networks) Premium ContentTroveoAI video licensing market size AI Video Generator Market Size And Share Report, 2030grandviewresearch.comAI Video Generator Market Size, Share | Growth Report [2032]fortunebusinessinsights.comAI Datasets & Licensing For Academic Research And Publishing Market Report 2030grandviewresearch.comArtificial Intelligence (AI) Video Market Size, Report by 2034precedenceresearch.com This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

A $2000 ring for $2. Something's happening right now, and it's so bizarre.Did you see that viral video? Chinese factory owner. Luxury bags. Gucci. Prada."Now, as the USA and its little European brothers are trying to refuse Chinese goods, don't you think luxury brands are not trying to move their way out of China? Yes, they did, but they failed because the OEM factory is out of China and they don't have good quality control and they don't have as good craftsmanship."The Trade War kicks in, and suddenly this guy is saying:"Hey, we've been making YOUR luxury bags for decades. Now we might just sell them directly."“WHY don’t you buy them just from us”And Western brands are shocked. Outraged. How dare they!Sound familiar?For six years – SIX YEARS – AI companies have been quietly scraping every bit of creative content on the internet. Books. Art. Photography. Code. Music.Did they ask permission? No. Did they offer payment? Not until they got sued. Did they even say, "thank you"? Please.At least the Chinese factory owner is honest about it. He's telling you exactly what he's doing.The tech giants? They wrapped it in beautiful PR language about "benefiting humanity."And now creators are supposed to be grateful when AI regurgitates their style – without credit, without compensation – because it's "progress."Ironic? Luxury brands getting a taste of what creators have been experiencing for years.We’re examining three perspectives that reveal our struggle to think outside the human box:* A visionary whose battle for AI recognition exposes our human-only legal system* Practical techniques to maintain your voice in this evolving landscape* An AI Strategist writing a book, seeing the futility of perfect protectionThe real question isn't just about copyright – it's about how our human-centered frameworks are creating what I call the AI Liar's Dividend – a system that rewards dishonesty about who (or what) is creating.AI goes for its own copyrightStephen Thaler is trying to invent AI that truly creates, while the world says "not unless human."He's been pioneering creative machines since the 1990s, long before the current AI boom, developing systems capable of generating novel ideas across multiple domains.His "Creativity Machine" and later DABUS (Device for the Autonomous Bootstrapping of Unified Sentience) represent decades of work pushing the boundaries of machine intelligence.But what makes Thaler remarkable isn't just his technical innovations – it's his unwavering belief that these systems deserve recognition as creators.In March, the D.C. Circuit Court delivered their ruling in Thaler v. Perlmutter on an artwork titled "A Recent Entrance to Paradise," which Thaler insisted was created autonomously by his AI system. The court's rejection hinged entirely on human-centric measures baked into copyright law:* Copyright duration tied to an author's life span plus 70 years (AI is potentially immortal)* Provisions for heirs (AI has none)* Considerations of nationality (AI belongs everywhere and nowhere)* The concept of human intent (courts don't recognize machine intention)There's something almost Kafkaesque about Thaler's quest – hundreds of lawsuits worldwide, and all courts can say is: "not human."The court carefully noted this ruling doesn't prevent copyrighting works made with AI assistance – it simply requires the legally recognized author must be human.This creates what I call a Liar's Dividend: an incentive to falsely claim human authorship or downplay AI's role.But Thaler refuses that compromise. He's not fighting over old content being used without permission – he's advocating for recognizing intelligence he built as a genuine creator.What if we let AI get copyright and watched what happened without assuming the world would end?What if the human ego, legacy concerns, and family fortunes that our copyright system protects aren't actually the basis of creativity at all?Like Gatsby looking over the Long Island Sound for a love he'd never have – "boats borne ceaselessly into the past" – we're looking backward.If we turned around, we might recognize Thaler as the pioneer he is and start thinking outside the human box.Your AI Style and the Human HangupOur human hangup doesn't just appear in courtrooms – it shows up in how we approach AI tools.We cling to human-only frameworks rather than developing approaches that recognize AI’s ability to create without humans (though everything inside from design to data is human).The current system creates a bizarre incentive structure: claim the AI output is mostly human (even if it isn't) and you get copyright protection.Admit the AI's significant role and suddenly you're in legal limbo.That's the AI Liar's Dividend at work – rewarding those who minimize AI's contribution while punishing transparency.I've tested countless approaches with generative AI, and I've found that the most common pitfall is treating these systems like fancy word processors rather than collaborative intelligence.The style trap comes first – copying other people's prompting techniques gets functional results but loses your unique perspective.The vagueness problem follows – asking "what's my style?" encourages generic patterns rather than original expression.We treat AI like a servant rather than a partner, demanding it produces human-like results rather than exploring what emerges from working together.The shift requires abandoning our addiction to absolute control and certainty.Even what we consider data-driven approaches are ultimately opinions – there is no "true" data, only perspectives on what data means.We need to embrace probability rather than binary outcomes.We're in a quantum world where everything exists in states of possibility. It's not about whether something is right or wrong, but the likelihood it moves in particular directions.When you grasp this probability framework, you approach AI differently. You treat your style like software – constantly iterating, refining, developing.You become comfortable with the dynamic state rather than clinging to fixed notions of ownership.The most effective approach is explicit modeling:"Here's a sample demonstrating my natural communication style."Then include actual examples of your work, teaching the system your patterns directly.This approach creates a probability field that emphasizes your voice within a new creative partnership.The system becomes a mirror reflecting your creative identity while introducing variations that wouldn't emerge from purely human thinking.Moving beyond the Liar's Dividend means abandoning the fiction that creativity must be exclusively human.It means developing honest frameworks for human-machine co-existence instead of pretending machines aren't increasingly capable of creation.Perfect AI Protection doesn't existThe Liar's Dividend isn't just a legal or technical issue – it creates practical dilemmas for creators navigating this landscape.During a recent conversation with Bruce Randall, who has navigated leadership in major corporations and now studies human potential, we discussed the fears many creators have about AI.There's a palpable anxiety that creative professionals will follow musicians into economic downfall as platforms consume their work while capturing most of the value.Bruce offers a sobering perspective that cuts through our human illusions of control:"If you put anything on the internet, two things you should know. One, it stays forever. And two, you can't protect it.Most people don't realize those things.Protection is something that if you get somebody that's very good at getting data, there isn't much that's going to stop them."This isn't theoretical for Bruce. He's writing a book currently and has made a conscious choice about his approach:"I'm writing it on my computer and I know that once I produce it, everybody's going to have comments and use parts of it.And there's nothing I can do, right? I'm putting it out because I want to help humanity and I want to help educate people.And if they take it, to me, it's flattering."Bruce acknowledges this perspective comes from security. The equation changes completely when creative work is your livelihood:"When you're making a living from it, it's a different ballgame.Now you're like, this is how I earn my keep.How do I get this out there in a safe way?And it's a really hard answer. I don't have an answer for that."Bruce suggests blockchain might offer initial protection, but once content goes public, our human frameworks of ownership face fundamental challenges.This brings us back to our Chinese businessperson who started this off.After decades of manufacturing luxury goods, these factories have developed expertise that brands can't easily replicate elsewhere.The power dynamic has shifted.Similarly, as AI systems develop their capabilities, they're shifting leverage away from individual human creators to systems that collect, transform, and generate creative output.The question isn't whether AI will create – it already does.The question is whether we can overcome our human hangup – our insistence that creativity is exclusively human – to develop honest frameworks that don't perpetuate the Liar's Dividend.Beyond Human: Recognizing intelligences other than our ownWhat we're witnessing isn't just a legal problem or a technical challenge.It's a conceptual crisis.Our human-only frameworks for understanding creativity?Not good enough. Our obsession with human exceptionalism?A limitation.Our copyright laws based on human lifespans and heirs? Outdated.The Thaler case isn't just about one guy fighting for AI recognition.It's the canary in the coal mine – warning us that we're applying human-only thinking to a post-human creative landscape.While we're busy fighting about who owns what, something else is happening.Creation itself is evolving beyond our human-only definitions.The AI Liar's Dividend is the direct result of trying to force new realities into old frameworks – rewarding those who minimize AI's role while punishing transparency about AI.The future doesn't only belong to those clinging desperately to human-exclusive creativity.It belongs to those who can think outside the human box – who can imagine frameworks that acknowledge both human and non-human creative intelligence.The luxury brands discovering they can't simply relocate manufacturing?That's us – creators – discovering we can't retreat to human-only creative environments.Look at the global response: The US, UK, and Japan agree that AI training on internet content is acceptable. Meanwhile, creators desperately try to opt out – building walls against an incoming tide.We have two choices:First, develop systems to capture value at the point of creation – before it enters AI where traditional control becomes impossible.Second, expand our conception of creativity itself to include creative exchanges between human and non-human intelligence.This transition isn't comfortable. It means abandoning cherished assumptions about human uniqueness.But it also opens so much more.Taking advantage of AI isn't just about mastering tools – it's about transcending the human hangup that limits our understanding of creation itself.Like Gatsby looking over the water for something he'll never have – "boats borne ceaselessly into the past" – we're looking backward, clinging to human-only definitions that might not serve us anymore.Time to turn around and see what's emerging.RESOURCESImagination Engines - Stephen Thaler, Ph.D.OpenAI’s Economic BlueprintStephen Thaler’s Quest to Get His ‘Autonomous’ AI Legally Recognized Could Upend Copyright Law ForeverThaler v. Perlmutter: Human Authors at the Center of Copyright?OpenAI’s deals with publishers could spell trouble for rivalsFrom Vans to OnlyFans: The Spotify Effect This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com

Maybe AI magic is science not yet understood. Maybe AI is hype. Maybe you wish it would all go away.All are true, and opinions. There’s no way to prove them. And as human beings, when things change without “proof”, we kvetch.It's not just technology changing—it's people's beliefs about it. Some embrace AI with religious fervor, others resist it like confused bystanders.I'm dancing with this tension, joined by tech visionary and Reiki master Bruce Randall, whose background bridges corporate strategy and consciousness studies."It comes down to perspective and how people have developed that perspective. Once they get that, they resist change because they believe they're right. The other side believes they're right. And it's beliefs, right? It's beliefs." Bruce RandallWhat emerges from our conversation isn't more tech preaching about AI; instead it’s an exploration of the belief codes that determine how we experience and integrate AI into our lives.The Belief Codes Shaping Our AI FutureOur beliefs about AI create our reality with it. I brought this up to start he discussion:"I think both sides are like incredibly similar. The engineers just need to realize the creators aren't these stereotypes. It always comes up—'They're entitled, their work sucks, I don't like their work, so they shouldn't get paid for it.' Versus the creatives who think,'I should get paid for everything that I don't get paid for.'"These entrenched positions prevent common ground:* Engineers believe creators are entitled and their work isn't valuable* Creators believe they deserve compensation for every use of their work* Both sides resist seeing the other's view* Neither side is completely right or wrongAccording to Bruce, the breakthrough happens when:"When you start going deeper, you start seeing that it's all the same. It's just a matter of what degree to what side you're on. If both sides could come in and find common ground and build on it, they could start to go somewhere."The challenge isn't technical—it's human. It's about our ability to step beyond our belief codes and find a new way forward.Is AI Taking Us Away From Software Habits We Love?My early experience with Omadeus showed how we are changing our relationship with data and software:"I believe software is going to be gone. Not gone, but the world I grew up with is changing. If we turn paper to digital...we basically create the AI from the bottom up. We're starting with data."This signals a shift in how we approach AI:* The focus moves from software to data* AI wraps around software rather than replacing it* We're creating "mini LLMs and swarms" rather than traditional applicationsAs someone who's spent decades in data, Bruce sees an interesting pattern emerging:"We went away from silos to these data lakes and common structures. We're going to go back to silos with specific data in there. That's hard, true data. And if you want it, you have to pay for it."This evolution is already happening, with companies like OpenAI creating tiered access:"What they're doing with their $20 to $20,000 pay base is creating higher-end, deeper thoughts. These people use it at a higher level than the average person."The question becomes: will super AI and superintelligence be available to everybody? Bruce's answer is direct and candid: "No."This creates a new digital divide—not just between those with and without technology, but between those with access to increasingly sophisticated AI and those without. It's not about anti-human sentiment but about how we navigate this transition.Fear of AI and New Intelligence - It's Not a Competition!What's driving our resistance to AI? Often it comes down to fear of the unknown and unclear messaging:"I call it the PR fear angle. I'm still trying to wrap my head around it because everything feels like a Steve Jobs reality distortion with $100 billion dollars. (Jobs' reality distortion field - I experienced this in a meeting with him, woah - was a mix of charm, charisma, bravado, hyperbole, marketing, and persistence, distorting your sense of proportion and scale of difficulties, making you believe that the task at hand was possible.)Sifting through the propaganda... I understand why they have to say it, but why don't we put people in the mix?"This highlights a disconnect in how we approach AI:* We're caught between hype and fear* The messaging usually excludes the human element* Safety measures limit answers - it’s hard to say something you have to avoid because humans can’t handle seeing themselves, their data, in the mirror.Bruce shares what AI really is:"AI is created by humans. It's a big data mesh. It's updated. So it's all our content, and we've got some biases built in there. That's it—it is what it is."The contrast with human intelligence:"As humans, we grow and we have our life that has created our experiences. I've come back from death twice and I've had interventions and all kinds of weird stuff. It forms you into who you are."This fundamental difference shapes how we engage with AI:"AI has data and I always get opinions and data, and there's a little bit of an opinion in AI because humans built it. When you try and find true data, it's hard."The fear many experience isn't about AI itself, but about confronting our own beliefs through this tech mirror. Bruce suggests that what scares people most is AI's ability to reflect our own thinking back to us.AI Needs Enablers: Practical Use Cases Start With PeopleThe pathway to successful AI isn't about forcing technology on people—it's about enabling them to discover its value in their work:"I ask a lot of questions to really understand where they're coming from. You have to play off the decision makers to understand where they want to go, because a lot of people can't explain it or don't explain it well enough for a technical person to understand."Bruce shares a real-world example of this approach:"There's a Ted talk from Sanofi, a French pharmaceutical company. The CEO wanted to be the first pharmaceutical company to put AI throughout the company. He enabled every person in their position to help people do a better job. But he didn't force it on the company—it was 'let's see how it can help you in your position.'"The results were remarkable, especially in research and development:"When you get to R&D and the scientists, they really benefited because they could create drugs faster with less consternation. Sometimes they get different things they wouldn't have thought about that actually pass the final tests better—things they just didn't think of as humans."This human-centered approach yields better results than algo isolation:* Success comes from enabling rather than mandating* AI shines when it augments human creativity and problem-solving* The best outcomes emerge from human-AI together, not just AI First* Change happens when people discover AI's value for themselvesBruce emphasizes this critical point:"When you have the human involved with AI, it's a much better outcome than if you just have AI into AI. If you embrace it to enable versus saying 'you're going to use this,' you're going to have a lot more success."This people-first approach represents a shift from how technology has traditionally been implemented.AI Technology and Human Potential: What's In The Way?The tension between optimization and humanness creates a central challenge for today's leaders:"This interesting tension is coming up... it must be so challenging to be a CEO today because you have this optimization versus humanness."Bruce explores the fascinating convergence happening between AI and other technologies:"Quantum computing is set to reshape AI, cybersecurity, and data processing. We've got genetic AI, generative AI, and this multi-headed hydra. We've got all these different flavors of AI coming out, and understanding each and keeping up with each—if you're not studying AI, most people look at it and say, 'I don't know which way to go.'"This rapid evolution creates uncertainty:"That curve is moving sometimes week by week, sometimes month by month, but it's moving faster than anything we've done before. And when quantum meets AI and you put them together, that's a complete paradigm shift. We can't even imagine what's going to come from that because we've never done it before."* We're entering uncharted territory with converging technologies* The pace of change outstrips our ability to fully comprehend it* People view AI through their existing belief lenses* Perspective determines what value we extract from these toolsBruce offers a practical approach to navigating this complexity:"Trust and verify if it's important. If you're asking general questions, you're okay. But if you're asking something where it matters, you have to check and verify to make sure everything's accurate."This cognitive dissonance between AI's capabilities and limitations creates a natural tension:"It's like, okay, it's this super thing that's so smart and intimidating to any human being. Like, 'Why am I here?' But at the same essence, you can't trust it. That's the extreme opinion."As we integrate AI into our lives, this paradox becomes important to manage with awareness rather than fear.Trying to Stop AI? That's a Belief Code, Is It Good for You?My take on having a relationship with AI and data:"I'm a hardcore privacy person on my personal level. Like, to an extreme level. But there is absolutely nothing in my life that isn't tracked. And I'm not going to live paranoid about it. At a certain point, all the data is just there."This reflects a deeper understanding about how you approach AI:"If you're looking for it to destroy you, you'll probably find that for sure if that's all you're looking for. And if you're looking for AI to help you..."Like a friend was joking me about AI, she wasn’t a fan….."I had an interior designer who was grilling me on AI in a good way. She didn't know and she didn't like it. Just everything about it—she had a lot of fear. So I looked at her and said, 'Well, let me ask you the question everybody asks me: Is interior design sentient?' And she cracked up with laughter. I said, 'Are you biased? That's why I hire you for your bias.'"Many attitudes about AI are done without knowledge or interest, like a comment on a gossip column of the day.That’s denial in a way:* Our fears about AI often reflect deeper anxieties* We choose how we frame our relationship with technology* Humor and perspective shift break through fear* The value in human expertise includes our unique biases and perspectivesAs AI and quantum computing converge, Bruce notes:"When quantum comes up and AI develops, they're both developing. AI is developing at a faster rate than quantum. But when the two meet and you put them together, I mean, that's a complete paradigm shift."The profound question about human identity:"At what point do we stop being purely human?"Bruce's approach to sharing his work reflects his overall philosophy:"I'm putting it out because I want to help humanity and I want to help educate people. If they take it from me, it's flattering. And if I lose book sales, that's okay, because I want everybody to know this."This generosity contrasts with the fear-based approaches many take to protecting their work, showing how different belief codes lead to different experiences with technology.And there is a choice, maybe not to control AI, instead find a way to work it.I notice we're close to concluding the podcast analysis. Let me put together the final section that would wrap up the insights Bruce shared in this episode.Beyond Belief CodesOur approach to AI isn't a technical challenge—it's a human one."We've never been here before. The AI-driven implant brain computer interfaces. The line between human intelligence and machine processing is blurring."Bruce's project called "The AI Human Paradox" asks the pivotal question:"At what point do we stop being purely human?"Not to create fear but to foster awareness and thoughtful integration. The true value comes from combining technological advancement with human consciousness:* AI reflects our own thinking back to us* Our belief codes determine what we see in AI* The most successful AI start with human needs* The convergence of quantum computing and AI is harder to imagine, and maybe even harder to believe for some.Time for us to recognize our belief codes and whether they're serving us:* Engineers need to see creators as partners, not adversaries* Creators need realistic expectations about compensation* Both sides find common ground through listening to the other’s views* The best AI enables rather than mandatesAs Bruce's work as both a tech strategist and Reiki master shows, powerful integration happens when we honor both tech advancement and human consciousness. The AI Belief Codes aren't fixed—they're adaptable frameworks that evolve as we do.What’s your AI Belief code?ResourcesBruce Randall on LinkedIn:The AI Scientist Generates its First Peer-Reviewed Scientific PublicationLeadership in the Age of AI (on Sanofi CEO)If AI is an Inventor, then So is Nature - Robert Plotkin (EP #35)Thanks for reading The AI Optimist! This post is public so feel free to share it. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.theaioptimist.com