AI Studios with Natalia Burina

Conversations about AI with world's top builders, artists, researchers and thinkers.
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AI Studios with Natalia Burina

Natalia previously built AI at extreme scale with some of the most brilliant minds in the industry at Meta AI, Salesforce Einstein, and the very first version of Microsoft Bing. Join us for conversations that explore the latest hot topics in the field with some of the brightest creators, builders, researchers and thinkers. We’ll explore novel business models, new UX paradigms, how AI is changing our lives and much more. Subscribe to https://aistudios.substack.com to get full access to the newsletter and website. Never miss an update. aistudios.substack.com

Выпуски

  1. 05.10.2023

    How to Build AI Responsibly | David Adkins Meta AI

    David Adkins is an experienced senior technology executive who leads engineering teams at Meta AI. David holds an MS in Computer Science from the University at Buffalo focused on machine learning. In this conversation we discuss * How to think about AI bias and fairness * Why AI Transparency, Explainability and Control are important * How Meta de-risked LLaMA * How to take AI Research to production and more. Listen now on Apple, Spotify and Amazon Music and please subscribe to my YouTube channel. ⏰ 2:06 David’s Favorite Restaurant Sammy’s Fishbox ⏰ 2:40 Career Stories: David’s Journey ⏰ 4:37 What David is working on at Meta AI ⏰ 4:50 How to organize AI Teams ⏰ 6:56 What is AI Bias and Fairness ⏰ 8:52 How to build a Product with AI Fairness in mind ⏰ 11:47 Examples of Fairness Mitigations in Meta Products ⏰ 13:33 What’s Surprising about working on AI Fairness ⏰ 16:05 What causes Bias in AI Products ⏰ 19:19 How to Mitigate AI Problems when you’ve already launched ⏰ 21:38 What is AI Transparency and Control ⏰ 24:12 What is AI Explainability? ⏰ 26:10 Why YOU should care about AI Transparency ⏰ 31:00 What is surprising about working on AI Transparency ⏰ 33:00 AI System Cards ⏰ 37:30 Developing LLaMA Responsibly ⏰ 39:30 How to de-risk large language models ⏰ 43:06 How to do AI Research to production ⏰ 46:51 What’s next for David This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    49 мин.

  2. 29.08.2023

    AI Opportunities in Healthcare with Javier Tordable, Technical Director at Google

    Javier Tordable is a Technical Director at Google where he drives long term technical strategy for Google Cloud at the CTO Office. Recently Javier has been focusing on healthcare, pharma and biotech, and helping organizations use Cloud infrastructure, Machine Learning and generative AI to improve drug discovery and patient care. Javier is also executive sponsor of top Google Cloud customers and advisor to C-suite executives; and helped close over a billion dollars worth of Cloud contracts. In this conversation we discuss * AI opportunities in healthcare, * Why AlphaFold is such a big breakthrough * Longevity (including Javier’s Longevity Protocol) and more. Listen now on Apple, Spotify and Amazon Music and please subscribe to my YouTube channel. ⏰ 1:50 Javier’s background  ⏰ 5:30 Javier’s role at Google  ⏰ 9:05 How Javier approaches Strategy  ⏰ 15:17 Tech and AI adoption in Healthcare  ⏰ 17:10 Understanding Organizational Incentives in Healthcare  ⏰ 18:00 Tools that can overcome Tech Limitations in Healthcare  ⏰ 19:00 AI Opportunities and Use Cases in Healthcare  ⏰ 23:20 AI Privacy for healthcare  ⏰ 29:38 Why Alphafold is a big deal  ⏰ 31:16 What Alphafold does  ⏰ 32:36 How Alphafold will change healthcare  ⏰ 35:55 The big Problem that Alphafold will solve  ⏰ 36:43 Longevity  ⏰ 44:25 Javier’s Longevity Hacks  ⏰ 46:58 How to get into healthcare if you’re a techie and how to get into tech if you’re in healthcare?  ⏰ 49:44 Javier’s advice to someone starting out  ⏰ 52:12 what’s next for Javier Where to find Javier  • LinkedIn • Web • Javier on Twitter Where to find Natalia  • AI Studios on YouTube  • Natalia’s Substack • Natalia on Twitter • LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    56 мин.

  3. 20.06.2023

    Leading AI Teams | Sonny Patel Product & Engineering Exec (LivePerson, Amazon, Microsoft)

    Sonny Patel is a tech executive who ran a team of 250 product managers and engineers at LivePerson. Before that, she ran a cross-functional org of designers, product managers, technical program managers and developers at Amazon. Sonny was also at Microsoft where she grew from an entry level product manager to a leader of leaders. Here's a written summary of our conversation. You can also listen to the audio version via SubStack, Apple and Spotify. Or you can check out the convo on YouTube.   Rising to and Operating at Executive Level Career Breakthroughs  I asked Sonny what was the pivotal moment that put her on the executive path. Sonny recounted how a VP at Amazon took a bet on her by entrusting her with a cross functional team. This expanded her scope significantly and set her up for bigger opportunities. Sonny attributes this breakthrough to both leadership support and a fortuitous situation. However, to position herself Sonny offered the following playbook.  Playbook 📖 Develop your knowledge and skills over years. No shortcuts here. 🏆 Champion - You need a champion to take a bet on you. Your knowledge and skills will enable your champion to stand behind you. 📍Situational Awareness - you need to recognize and capitalize on a unique opportunity to distinguish yourself. In Sonny’s case it was about saying yes to managing an engineering team in addition to product. 🎗Support System - You can’t make it without a professional support system. Value of Good and Bad Managers in early career Sonny believes that there is value in having one good and one bad manager early on.  Watching and learning from other people’s management mistakes is a good way to build empathy for future reports. A good manager is able to provide psychological safety for their reports. This improves performance and sets people up to do their very best work. Sonny’s own experience with a bad manager taught her to have empathy and cultivate patience towards her reports. When people are new to product management or the AI space, managers should be especially patient. How Sonny creates Psychological Safety for her Teams 🙋🏻‍♀️ Encourage and support people to ask silly questions  🙊 Allow people to make mistakes and learn without fear.  ✔️ Sonny used regular check-ins and reporting mechanisms to monitor team progress and identify issues early Building AI Products and Running AI Teams How AI products are different  🪩 People tend to get enamored with the latest shiny technology. Sonny emphasized the importance of focusing on usefulness and not just the "cool" factor. AI Products should solve real problems for users in meaningful ways. 🔐 Privacy, Transparency and Control are critical. Users are willing to share data when they see a benefit and feel in control. Apply the idea of a privacy transaction when building products - if a product collects users data, the user should get something in return. Users should feel in control and everything should be done with their consent. Provide user control options in a coherent way that all fits together. Why most AI products fail AI products often fail due to edge cases that were not considered during design and testing. User expectations are often higher than what the technology can reliably deliver. What makes Amazon an efficient execution machine Before building a tech product, start with the customer and work backwards by understanding their problem. Amazon believes in the power of writing down things. Write a Press Release to imagine what your product unveiling may look like including all the related messaging. A Press Release is a one-pager that anybody should be able to read and understand. Some of the questions that a Press Release addresses are: * What is the customer problem? * Who is the target customer? * Why is the idea big enough? * Why now? * What does the product development team say to customers?  * What would your customers say afte

    1 ч. 1 мин.

  4. 27.05.2023

    Amy Karle | Exploring how Technology is Changing Humanity

    Groundbreaking artist and visionary futurist Amy Karle specializes in the transformative impact of emerging technologies on humanity, including AI and biotech. Her work examines how interventions could alter the trajectory of the future and how technology could be utilized to support and enhance our future. In this episode we discuss AI from an artists perspective, how AI will change the way we think and function, Amy’s vision for future with AI and feast our eyes on Amy’s work. Listen now on Apple and Spotify. ⏰ 00:34 Amy's Journey ⏰ 02:17 AI from an Artists Perspective ⏰ 03:19 How AI is changing the way we Think and Function ⏰ 7:44 AI Dangers ⏰ 11:53 AI Opportunities ⏰ 13:12 AI and Human Mortality ⏰ 15:58 Biofeedback Work ⏰ 21:55 Amy's Approach to exploring Technology's Impact on Humanity ⏰ 24:15 How AI will Change what it means to be human ⏰ 26:15 How AI will enhance our lives ⏰ 27:18 Explorations of AI and Humans Merging ⏰ 29:47 Tools that Amy Uses to create her art ⏰ 30:36 Regenerative Reliquary Piece ⏰ 33:36 The Heart of Evolution Piece ⏰ 36:47 Feasibility of Organ Plug and Play ⏰ 38:13 What's next for Amy Where to find Amy * Amy’s Website * Instagram * Twitter * Facebook * LinkedIn * Discord * Wikipedia Where to find Natalia * 🆕 Maven Generative AI for Business Workshop * YouTube * Substack * Twitter * LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    39 мин.

  5. 15.05.2023

    How a Google Product Manager became a full time AI Creator with Bilawal Sidhu

    How did a Google Product Manager decide to leave his full time job to become an AI Creator? Bilawal Sidhu most recently worked as a Senior PM at Google Maps, where he led Immersive View and was responsible for new technology innovation. Over time he grew his hobby into a new business. In this conversation he explains how he did it, how he approaches content creation, creator tools, mistakes, how AI is helping creators, pros and cons of working in a big company and more. Listen now on Apple and Spotify. ⏰ 0:37 Bilawal's Journey ⏰ 3:25 How Bilawal managed to both work at Google and be a Creator, what kept him motivated and Tips. ⏰ 4:57 Approach to Creation ⏰ 8:08 Creation Strategy ⏰ 9:44 How knowledge of creator tools can helped in day job ⏰ 12:00 Mistakes and Advice to tech professionals ⏰ 14:53 That Creator Life ⏰ 20:30 AI Tools Landscape - Industries, verticals, and Tools (Autodesk, Adobe, Cinema 4d, Blender.org) ⏰ 26:52 How AI is helping Creators ⏰ 29:45 Advent of the AI Creators ⏰ 36:24 What AI will do for Content Consumption ⏰ 43:13 Pros and Cons of working on AI at Google and Meta AI ⏰ 1:03 Bilawal's favorite AI Tools and what's next Referenced * Corridor Digital * Marques Brownlee * Freddie Wong * Riley * Nathan Lands * Joma Tech * Midjourney * Controlnet Where to find Bilawal * TikTok * YouTube * Twitter * LinkedIn Where to find Natalia * Twitter * LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    59 мин.

  6. 05.05.2023

    👩🏻‍🔬How to do User Research for AI Products with Lauren M. Kaplan, PhD

    What is User Research and why is it useful for AI product development? Lauren Kaplan is a mixed methods researcher passionate about inclusion, leveraging technology for social good, and learning. At Meta, she led research on Privacy Preserving Machine Learning (PPML) and PyTorch (an Open Source AI framework) advocating for people centric AI. ⏰ 0:49 About Lauren ⏰ 1:11 What is Mixed Methods UXR ⏰ 1:27 What is User Research ⏰ 2:10 How to match User Research with Product Development ⏰ 3:13 What are the benefits of User Research for AI Products ⏰ 4:00 What's the difference between User Research and User Feedback ⏰ 6:45 Challenges of doing User Research for AI ⏰ 9:05 How to approach User Research for Generative AI ⏰ 10:20 Privacy Preserving ML User Research ⏰ 12:23 Synthetic Users ⏰ 16:05 How to get into AI User Research ⏰ 17:22 How Lauren stays on top of AI News and Advancements ⏰ 19:10 How to do User Research for Open Source AI ⏰ 21:47 Working with AI Researchers and bridging the discipline gap ⏰ 23:06 How should AI Researchers ensure they're people centric ⏰ 26:45 What stood out about AI Privacy vs other AI ⏰ 29:15 What was it like to work on PyTorch ⏰ 31:30 What AI Lauren is excited about next Referenced * Mapping Strategic, Iterative, and Evaluative Research to Product: Matt's UXR Process & FAQ * Google PAIR resources: People + AI Research - Chapters * “How can companies help people understand privacy-enhancing technologies like on-device learning?”  * The Future of AI is People-Centered * Mapping qualitative and quantitative methods Comparing UX Research Methods * Synthetic Users: [2209.06899] Out of One, Many: Using Language Models to Simulate Human Samples Where to find Lauren & her work * LinkedIn * Twitter Where to find Natalia * Twitter * LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    34 мин.

  7. 25.04.2023

    📈How Esteban Constante grew Leonardo.Ai to over a Million Subscribers

    Esteban Constante is the Chief Marketing Officer and entrepreneur who is the mastermind behind Leonardo.Ai’s growth. In this conversation Esteban explains how to build and grow an AI startup that's billed by some as the Midjourney killer. Esteban discusses his background, Leonardo.Ai use cases, growth and taking the latest cutting edge research to production. He also covers some interesting startup challenges, his approach to growth and advice for startup founders looking to grow their audience. Listen now on Apple and Spotify. Detailed Breakdown ⏰ 0:00 How Esteban landed an exec role at one of the hottest Generative AI Startups ⏰ 4:57 How to Grow a Startup to over a Million Users ⏰ 6:52 Why Leonardo.Ai may be the Midjourney Killer  ⏰ 10:20 What is an AI Artist, a new breed of creative ⏰ 13:12 Leonardo.Ai Use Cases ⏰ 18:00 Original Thesis behind Leonardo.Ai ⏰ 21:45 The Team behind Leonardo.Ai ⏰ 26:00 Taking AI Research to Production ⏰ 27:30 Challenges tied to Fast Growth ⏰ 30:00 Growth Advice for Startup Founders ⏰ 32:35 How to Position your Product ⏰ 36:20 Who Inspires Esteban Referenced * Leonardo.Ai * Breakthrough Advertising by Eugene M. Schwartz Where to find Esteban & his work * Esteban on LinkedIn * Twitter Where to find Natalia * Twitter * LinkedIn This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    43 мин.

  8. 14.04.2023

    Framework for Generative AI Use Cases with Barak Turovsky, Executive in Residence at Scale Venture Partners, ex-Head of Product, Google Languages AI

    Barak Turovsky is an Executive in Residence at Scale Venture Partners. Previously Barak was a Director of Product at Google AI where he spent 10 years leading product management and user experience for Languages AI and Google Translate. Most recently, Barak was  a CPO of Trax, a global retail tech leader that leverages Computer Vision AI for omnichannel shopping experiences. In this episode we discuss whether the current AI cycle is hype or real, Barak’s framework for evaluating generative AI use cases, how to think about foundational and fine tuned models, the business of AI and more! Listen now on Apple and Spotify. Detailed Breakdown ⏰ 2:05 Barak’s AI Product Career ⏰ 4:13 AI Cycle - Hype or Reality ⏰ 5:44 Barak’s Framework for Evaluating Generative AI Use Cases ⏰ 13:54 Foundational vs Fine Tuned Models ⏰ 18:53 Limitations of Large Language Models ⏰ 22:00 Business of Generative AI ⏰ 25:00 What Generative AI means for Content Generation ⏰ 27:00 Key Considerations for building AI Products ⏰ 32:00 Will AI mean the end of some jobs? ⏰ 38:00 What could make an AI Product and Business defensible? ⏰ 42:00 What Barak is excited about next? Referenced * Barak's Framework for Evaluating Generative AI Use Cases (Written Form)  * The Great AI awakening story from New York Times (covering the first-ever productization of deep neural networks with Google Translate), is one of best written stories about ML/AI history and challenges * Barak’s presentation to Indian Prime Minister Modi when he visited Google campus * Google Translate vs. La Bamba (Google Translate team playing with visual, AR-based translation feature) Where to find Barak & his work * Barak on LinkedIn * Twitter * Barak's Interview with GLG Experts Network about Generative AI * Barak's Keynote at CES 2021 about latest and greatest in Languages AI  Where to find Natalia * Twitter * LinkedIn * Instagram This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    45 мин.

  9. 05.04.2023

    🎨 Jason M. Allen | Creating the World's Most Recognizable A.I. Painting

    Jason M. Allen is the President and CEO of Art Incarnate, a company that creates luxury A.I. products including art prints of Jason’s A.I. pieces (which he calls “A.I. Completions” or AIC’s). Jason created and entered an AIC titled Théâtre d'Opéra Spatial into a Fine Art competition at the Colorado State Fair under the Digital Art category. The entry won first place, sparked a controversy and garnered worldwide attention. The A.I. piece raised a number of concerns within the art community, including concerns around cheating, plagiarism, artist replacement, and the question of whether AIC’s are artwork or if Jason is an artist at all. We discuss the whirwind events, Jason’s creative process, copyright and what’s next. Listen now on Apple and Spotify. Detailed Breakdown ⏰ 1:46 Jason’s Background ⏰ 3:35 How Jason got started with Midjourney ⏰ 8:41 Jason’s Creative Process ⏰ 13:22 Why we have and need Copyright ⏰ 15:49 What inspires Jason ⏰ 17:36 Meaning of Théâtre D'Opéra Spatial ⏰ 23:02 Going Viral ⏰ 23:39 How People Responded ⏰ 25:38 AI & Art - Jason’s Perspective ⏰ 30:27 Copyright & Théâtre D'Opéra Spatial ⏰ 34:11 Cover Protest ⏰ 44:36 Five Takeaways (from Mission of Art by Alex Grey) * ⏰ 44:36 Art as a Spiritual Practice * ⏰ 45:14 Evolution of Art * ⏰ 46:22 Transformative Power of Art * ⏰ 47:00 Role of an Artist * ⏰ 47:54 Techniques for Creative Development ⏰ 50:46 What’s next for Jason Referenced * Ascended Kings * Mission of Art by Alex Grey Where to find Jason * Jason’s Website * Jason M. Allen Files Request for Reconsideration with Copyright Office for AI-Assisted Artwork * The COVER Protest: Copyright Obstruction Violates Expressive Rights Where to find Natalia * Twitter * LinkedIn * Instagram This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    52 мин.

  10. 29.03.2023

    🎸Kaiber Generative AI for Music Videos

    Kaiber is a generative AI startup founded by Victor Wang, Eric Gao and Jacky Lu. With videos for Linkin Park and visuals for all 15 of Kid Cudi’s Entergalactic videos under their belt, Kaiber is growing quickly. Victor and Jacky share their rollercoaster startup journey and how they overcame the initial disaster. We discuss what it’s like to work with star musicians, challenges of bringing cutting edge AI to production, AI first user experiences, implications of the AI revolution for the creative community and finally wrap up with advice for aspiring founders. Listen now on Apple and Spotify. Detailed Breakdown ⏰ 1:10 Victor, Jacky & Eric’s backgrounds  ⏰ 5:40 Kaiber Origin story ⏰ 10:10 Creating Visuals for Kid Cudi’s Entergalactic videos ⏰ 13:00 Working with Mike Shinoda of Linkin Park ⏰ 14:35 Releasing videos for Linkin Park’s Meteora album ⏰ 15:35 Building Generative AI for Music Videos and taking AI research to production ⏰ 22:00 Kaiber functionality ⏰ 26:00 Future of Generative AI for Video ⏰ 29:40 Challenges of working with Video ⏰ 31:00 AI first User Experience & Design Challenges  ⏰ 35:00 Building for Musicians ⏰ 39:00 Why do we Create? ⏰ 42:50 Is AI Replacing Artists?  ⏰ 47:00 Advent of AI Artists ⏰ 50:15 Advice for founders & builders Where to find Kaiber * 🌐 Kaiber Website * Discord Community * Instagram * Twitter Where to find Victor * LinkedIn * Twitter Where to find Jacky * 🌐 Jacky’s Website * Instagram * LinkedIn Where to find Natalia: * Twitter * LinkedIn * Instagram This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    53 мин.

  11. 21.03.2023

    🌊 Marc Hemeon Is Generative AI the end of Designers?

    Marc Hemeon is a designer, artist, surfer and entrepreneur. Marc was the Head of Creative and Digital for Kosas, worked at Meta AI to design and conceptualize emerging products and technologies and co-founded a number of companies including fflick, which YouTube acquired in 2011. We discuss Marc’s design work at Meta, how AI is impacting designers and artists, the creative process with and without AI, use cases for the latest Generative AI tools and wider implications of how AI is changing the way we live, work and interact with each other. Detailed Breakdown: ⏱ 0:35 What Marc did at Meta AI ⏱ 5:10 Is AI the end of Designers? ⏱ 6:00 What is art anyway? ⏱ 8:50 Marc’s Reaction to Generative AI art ⏱ 17:32 Why Marc thinks that People are Scared of AI ⏱ 18:47 Marc’s Creative Process ⏱ 19:32 Why do we create? ⏱ 20:52 How to use ChatGPT to Write Blogs Authentically ⏱ 22:35 Marc’s HeartYou Monomyth Project using Midjourney ⏱ 23:30 ChatGPT for Ads  ⏱ 27:33 What ChatGPT Refused to Do ⏱ 30:17 Launching Facebook Captions Powered by AI ⏱ 32:11 TikTok’s Beauty Filters ⏱ 34:04 Are we turning into humans from WALL·E? Where to find Marc: * Marc’s Oil Paintings * Waveblocks  * Twitter: @hemeon * Instagram: @hemeon * LinkedIn Where to find Natalia: * Twitter * LinkedIn Where to find Ashita: * Twitter * Fantoons * LinkedIn Referenced: * Prompt Hunt * Heart You (@XXHeartYou) / Twitter  * Monomyth  * The Genius Zone: The Breakthrough Process to End Negative Thinking and Live in True Creativity * Marc’s son loves Kaiju AI Tools:  * Midjourney * ChatGPT This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit aistudios.substack.com

    44 мин.
  12. Sean Byrnes on AI and the Creative Process

    14.03.2023

    Sean Byrnes on AI and the Creative Process

    About Sean Sean Byrnes has been the CEO & co-founder of many category-defining companies, raised over $100M in financing from leading venture firms, built teams of hundreds of people, and both bought and sold companies in his career. Sean is also an artist - check out his portfolio here. Sean has a deep understanding of AI gained as a founder and CEO of Outlier.ai, the world's first automated data analysis platform and Flurry, the largest analytics platform for mobile applications. Sean is also a partner at LucidFog, a venture investment firm that provides capital to early stage founders. Summary In our conversation, Sean discusses how art has always been created throughout time, generative AI and the creative process, why some artists have a visceral reaction to generative AI and the ethical aspects. Finally we conclude with a deeper question about the meaning of art.  Art creation throughout time The analog era When we think of art creation we imagine a genius artist waving pencils and paint brushes in front of the canvas. However, this has never been reality. The way it actually worked, for example during the Renaissance is that Rembrandt had armies of assistants who would do background painting. Many assistants used mirrors for tracing. There were no magical mythical lone artists. Throughout time, artists have always used shortcuts, tools and borrowed from each other, stealing ideas.  The digital era As technology evolved new tools became available. An early example is scanning art and editing it in photoshop. Everyone is familiar with the iPad, but in reality, even 15 years ago we had digital tools. Today most of art has been treated digitally, modern art programs have the ability to import 3D models - people can take pictures of a college campus for example and trace it to render a 3D model. All the tools are there, generative AI is the next stage of tool evolution with a constant march forward. Artists can now create more art faster to fulfill their vision.  But what happens when computers can create art without humans in the loop? Right now in 2023 we’re at a point where we’re in the next step of tools.  What generative AI means for the Creative Process Historically the creative process meant that an artist sits with a sketch pad to see if they can capture something interesting. Musical artists have 100s of bits and assemble them into songs. As artists look at tid bits and look to capture it. Can we now sit down with generative AI to do that? Before we’ve had to sketch things out ourselves, now we can use AI to come up with something in the beginning.  * Generative AI doesn’t have a voice - for Sean art is meaningful if it triggers something - AI doesn’t do that. Rembrandt makes him feel like he’s there. Generative AI on the other hand doesn’t have a consistent voice, it’s conglomerating all the content and it gives an average voice of everyone. However, it gives artists a good way to start their explorations.   * Exploration of ideas with generative AI. Whenever artists create something they typically run into problems where the piece is not coming together. Digital art allows creators to try a bunch of stuff - like an army of Renaissance assistants, we now have an army of AI assistant painters to help explore ideas.  AI is invaluable for experimentation, it helps to unlock new things. The fidelity of work today has vastly improved when we compare it to what we had in the 80s vs today. This is all due to tools we’ve available now. Why artists are frustrated with Generative AI * Natural resistance to automation. The new generation of AI tools is making hard earned skills obsolete. Bagels today are made in bagel machines. It used to be the case that bagel making was a sought after artisant form. Bagels were expensive and very rare. Bagel machine wiped out artisan bagel making. This is true in manufacturing as well. Artists are afraid for their livelihoods. They invested time to learn and ho

    41 мин.
  • Выпусков: 12

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Natalia previously built AI at extreme scale with some of the most brilliant minds in the industry at Meta AI, Salesforce Einstein, and the very first version of Microsoft Bing. Join us for conversations that explore the latest hot topics in the field with some of the brightest creators, builders, researchers and thinkers. We’ll explore novel business models, new UX paradigms, how AI is changing our lives and much more. Subscribe to https://aistudios.substack.com to get full access to the newsletter and website. Never miss an update. aistudios.substack.com

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    Conversations about AI with world's top builders, artists, researchers and thinkers.
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