AI Studios with Natalia Burina

About 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. nataliaburina.substack.com (https://nataliaburina.substack.com?utm_medium=podcast)

Publisher

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

Category

business · technology

Language

en

Explicit

No

First episode

14 Mar 2023

Latest episode

6 Aug 2025

Latest episodes

14 episodes in the feed.

1. 

   6 Aug 2025

   🎙️ AI Is Redefining UX: Mickey Alon on the Future of SaaS Interfaces

   In this week’s episode of AI Studios, I sit down with Mickey Alon (https://www.linkedin.com/in/malon/)—serial entrepreneur, product thinker, and former Chief Product & Technology Officer at VidMob. Mickey was one of the earliest pioneers of product-led growth (PLG), and today, he’s helping B2B SaaS companies go truly AI-first. Mickey just launched a new company called Eucera (https://eucera.ai/), which is reimagining UX through conversational interfaces and intelligent agents that anticipate user needs. We go deep on what it takes to build AI-native products in today’s hyper-competitive landscape—and why the traditional UX playbook is being thrown out. 🕒 Chapter Markers: 00:00 Introduction to Mickey Alon and Eucera (https://www.youtube.com/watch?v=kf_st-GFaAM&t=2s) 03:44 Building AI-First Products (https://www.youtube.com/watch?v=kf_st-GFaAM&t=224s) 07:35 Shifting User Expectations in SaaS (https://www.youtube.com/watch?v=kf_st-GFaAM&t=455s) 12:02 The Future of User Interfaces (https://www.youtube.com/watch?v=kf_st-GFaAM&t=722s) 16:15 Balancing Automation and Human Control (https://www.youtube.com/watch?v=kf_st-GFaAM&t=975s) 20:01 Discoverability in AI-First Products (https://www.youtube.com/watch?v=kf_st-GFaAM&t=1201s) 24:49 Measuring Contextual System Effectiveness (https://www.youtube.com/watch?v=kf_st-GFaAM&t=1489s) 29:43 Model Selection and Evaluation (https://www.youtube.com/watch?v=kf_st-GFaAM&t=1783s) 34:24 Best Practices for Synthetic Data (https://www.youtube.com/watch?v=kf_st-GFaAM&t=2064s) 41:07 The Future of Sales Models in AI (https://www.youtube.com/watch?v=kf_st-GFaAM&t=2467s) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

2. 

   26 May 2025

   Erik Meijer on AI, Agents & the Future of Developer Tools

   Summary In this conversation, Eric Meyer discusses his extensive journey in AI and programming, emphasizing the evolution of AI technologies, the current state of developer tools, and the future of user experiences with AI. He highlights the importance of safety in AI systems, the role of natural language as a user interface, and the commoditization of AI models. Eric also shares his vision for empowering non-technical users and the integration of traditional software with AI-driven solutions. takeaways Eric Meyer has a rich background in AI and programming languages. The evolution of AI has seen a shift from rule-based systems to data-driven models. AI tools are making coding more accessible to non-developers. Natural language interfaces are evolving but may not be the most efficient. AI agents are conceptually similar to traditional software objects. Safety and correctness in AI systems are critical concerns. The commoditization of AI models is reshaping the software landscape. Integration between traditional software and AI is essential for future development. User experience in AI tools is becoming more interactive and iterative. Eric is focused on building a programming language that ensures safety in AI applications. titles Democratizing Programming with AI The Evolution of AI: Lessons from the Past Sound Bites "The gap between idea and reality has shrunk." "Traditional software will not go away." "Beware of the shiny object syndrome." Chapters 00:00 Introduction to Eric Meyer and AI Journey 05:12 The Evolution of AI: Past vs Present 11:05 AI in Developer Tools: Current State and Future 16:20 User Experience and Interfaces in AI Products 21:17 Empowering Non-Technical Users with AI 23:06 Natural Language as the New UI 26:51 Understanding AI Agents and Their Impact 31:35 Probabilistic Nature of AI and Trust Issues 36:02 The Future of APIs in AI Development 42:02 The AI Stack of the Future: Integration and Evolution 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

3. 

   5 Oct 2023

   How to Build AI Responsibly | David Adkins Meta AI

   David Adkins (https://www.linkedin.com/in/davidjadkins/) 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 (https://ai.meta.com/llama/responsible-use-guide/https://ai.meta.com/llama/responsible-use-guide/)LLaMA * How to take AI Research to production and more. Listen now on Apple (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385), Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB) and Amazon Music (https://music.amazon.com/podcasts/9b3a8e13-62ae-4327-8662-14c01d27b077/ai-studios-with-natalia-burina) and please subscribe to my YouTube channel (https://www.youtube.com/channel/UCs1h9omhG8k0GHBVoQFKZmw). ⏰ 2:06 David’s Favorite Restaurant Sammy’s Fishbox (https://www.sammysfishbox.com) ⏰ 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

4. 

   29 Aug 2023

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

   Javier Tordable (https://www.linkedin.com/in/jtordable/) is a Technical Director at Google where he drives long term technical strategy for Google Cloud at the CTO Office (https://accelerationeconomy.com/cloud/meet-google-clouds-secret-weapon-octo/). 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 (https://www.javiertordable.com/longevity-protocol/)) and more. Listen now on Apple (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385), Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB) and Amazon Music (https://music.amazon.com/podcasts/9b3a8e13-62ae-4327-8662-14c01d27b077/ai-studios-with-natalia-burina) and please subscribe to my YouTube channel (https://www.youtube.com/channel/UCs1h9omhG8k0GHBVoQFKZmw). ⏰ 1:50 Javier’s background  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=39s) ⏰ 5:30 Javier’s role at Google  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=330s) ⏰ 9:05 How Javier approaches Strategy (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=545s) ⏰ 15:17 Tech and AI adoption in Healthcare  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=917s) ⏰ 17:10 Understanding Organizational Incentives in Healthcare  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1030s) ⏰ 18:00 Tools that can overcome Tech Limitations in Healthcare (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1080s) ⏰ 19:00 AI Opportunities and Use Cases in Healthcare  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1140s) ⏰ 23:20 AI Privacy for healthcare (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1400s) ⏰ 29:38 Why Alphafold is a big deal (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1778s) ⏰ 31:16 What Alphafold does  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1876s) ⏰ 32:36 How Alphafold will change healthcare  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=1956s) ⏰ 35:55 The big Problem that Alphafold will solve (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=2155s) ⏰ 36:43 Longevity  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=2203s) ⏰ 44:25 Javier’s Longevity Hacks  (https://www.javiertordable.com/longevity-protocol/) ⏰ 46:58 How to get into healthcare if you’re a techie and how to get into tech if you’re in healthcare?  (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=2818s) ⏰ 49:44 Javier’s advice to someone starting out (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=2984s) ⏰ 52:12 what’s next for Javier (https://www.youtube.com/watch?v=Nd7PxRPNcgw&t=3132s) Where to find Javier • LinkedIn (https://www.linkedin.com/in/jtordable) • Web (https://www.javiertordable.com) • Javier on Twitter (https://twitter.com/tordable) Where to find Natalia • AI Studios on YouTube (https://www.youtube.com/@aistudiospodcast) • Natalia’s Substack (https://aistudios.substack.com/) • Natalia on Twitter (https://twitter.com/Nale) • LinkedIn (https://www.linkedin.com/in/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

5. 

   20 Jun 2023

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

   Sonny Patel (https://www.linkedin.com/in/sonpat/) is a tech executive who ran a team of 250 product managers and engineers at LivePerson (https://www.linkedin.com/company/liveperson/). Before that, she ran a cross-functional org of designers, product managers, technical program managers and developers at Amazon (https://www.linkedin.com/company/amazon/). Sonny was also at Microsoft (https://www.linkedin.com/company/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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). 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 (https://www.linkedin.com/pulse/working-backwards-press-release-template-example-ian-mcallister/) 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 after using that product or feature? * How is this overall fitting into your existing product strategy? Furthermore a Press Release includes how the customers can get started, what they need to do, any associated costs, configuration experience, etc. After this, the team starts to dive deeper in terms of thinking about the product design aspect. Sonny’s favorite aspects of the process are two things, Tenets and Rude Questions FAQ. The Power of Tenets Tenets are a set of principles around decision-making criteria. Having a clear set of tenets is useful for breaking debates during product design. Tenets define what is important in terms of trade offs. For example, sacrificing complex additional functionality in favor of simple and intuitive design for a non-tech audience. This is a potential debate that the product team could have. If the team was to make a trade-off, which side would they pick over the other? That's a great tenet. Definition of tenets requires a lot of thought. Why you Need a Rude Questions FAQ for your Product A rude Questions FAQ lays out all the difficult, unfair and rude questions that the team would rather not be asked, but might come up. Why? A Rude Questions FAQ will: 🔮 Prepare you for criticism. It's a crystal ball for future tough questions in key meetings and presentations. 🦾 It forces you to see your blind spots. We tend to become enamored with our own projects and cannot see our project's faults objectively. Rude Questions FAQ shatters any delusions. 📝 Help you build a Solid Plan - Collecting rude questions should take a while because you'll need to talk to a variety of people. It should also feed directly into your planning ensuring that you have a robust path to execution. Organizational Mechanisms There's a saying - "Good intentions never work, you need good mechanisms to make anything happen." A mechanism is a process to ensure that the team’s work is impactful with good outcomes on an ongoing, recurring basis. Amazon has set up organizational Mechanisms that make it incredibly effective. What do Mechanisms do? 🧐 Allow the team to learn and improve from historical mistakes ⚙️ Create stable process-based solutions (rather than one off) 📑 Prevent tribal knowledge through Documentation Sonny explained the mechanisms she set up for her team at LivePerson. Every other week she spent 90 minutes with all the engineering and product leaders spanning 15 teams. Each team had 5-7 minutes to present status. In each Meeting there were 3 situations that surfaced: ✅ Team was on track nothing needed 🟠 Team ran into solvable issues -> team would put together a plan to address the issue ⛔️ Off track, need help -> here Sonny could step in and get back on track Where to find Sonny * LinkedIn (https://www.linkedin.com/in/sonpat/) Where to find Natalia * YouTube (https://www.youtube.com/@aistudiospodcast) * SubStack (https://aistudios.substack.com/) * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) Generative AI for Business Workshop 🌟 I’m launching a Generative AI for Business Workshop in collaboration with Marily Nika (https://www.linkedin.com/in/marilynika/), an AI Product Lead at Meta and formerly Google. We're organizing a three hour course held Friday June 30th - 9am-12pm PST and the cost is $99. The workshop will be recorded and you can access it at any point. If you're interested you can sign up here (https://maven.com/marily-nika/generative-ai?fbclid=IwAR0zMfxNkyeY9kKRK0sfFiU6GFtCF4tex96n7mAoVLmUuuaH7NV6ONzrFCc) or click on the image below. Hope to see you there! 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

6. 

   27 May 2023

   Amy Karle | Exploring how Technology is Changing Humanity

   Groundbreaking artist and visionary futurist Amy Karle (https://www.amykarle.com/) 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). ⏰ 00:34 (https://www.youtube.com/watch?v=2DRveju3vag&t=34s) Amy's Journey (https://www.youtube.com/watch?v=2DRveju3vag&t=34s) ⏰ 02:17 (https://www.youtube.com/watch?v=2DRveju3vag&t=137s) AI from an Artists Perspective (https://www.youtube.com/watch?v=2DRveju3vag&t=137s) ⏰ 03:19 (https://www.youtube.com/watch?v=2DRveju3vag&t=199s) How AI is changing the way we Think and Function (https://www.youtube.com/watch?v=2DRveju3vag&t=199s) ⏰ 7:44 (https://www.youtube.com/watch?v=2DRveju3vag&t=464s) AI Dangers (https://www.youtube.com/watch?v=2DRveju3vag&t=464s) ⏰ 11:53 (https://www.youtube.com/watch?v=2DRveju3vag&t=713s) AI Opportunities (https://www.youtube.com/watch?v=2DRveju3vag&t=713s) ⏰ 13:12 (https://www.youtube.com/watch?v=2DRveju3vag&t=792s) AI and Human Mortality (https://www.youtube.com/watch?v=2DRveju3vag&t=792s) ⏰ 15:58 (https://www.youtube.com/watch?v=2DRveju3vag&t=958s) Biofeedback Work (https://www.youtube.com/watch?v=2DRveju3vag&t=958s) ⏰ 21:55 (https://www.youtube.com/watch?v=2DRveju3vag&t=1315s) Amy's Approach to exploring Technology's Impact on Humanity (https://www.youtube.com/watch?v=2DRveju3vag&t=1315s) ⏰ 24:15 (https://www.youtube.com/watch?v=2DRveju3vag&t=1455s) How AI will Change what it means to be human (https://www.youtube.com/watch?v=2DRveju3vag&t=1455s) ⏰ 26:15 (https://www.youtube.com/watch?v=2DRveju3vag&t=1575s) How AI will enhance our lives (https://www.youtube.com/watch?v=2DRveju3vag&t=1575s) ⏰ 27:18 (https://www.youtube.com/watch?v=2DRveju3vag&t=1638s) Explorations of AI and Humans Merging (https://www.youtube.com/watch?v=2DRveju3vag&t=1638s) ⏰ 29:47 (https://www.youtube.com/watch?v=2DRveju3vag&t=1787s) Tools that Amy Uses to create her art (https://www.youtube.com/watch?v=2DRveju3vag&t=1787s) ⏰ 30:36 (https://www.youtube.com/watch?v=2DRveju3vag&t=1836s) Regenerative Reliquary Piece (https://www.youtube.com/watch?v=2DRveju3vag&t=1836s) ⏰ 33:36 (https://www.youtube.com/watch?v=2DRveju3vag&t=2016s) The Heart of Evolution Piece (https://www.youtube.com/watch?v=2DRveju3vag&t=2016s) ⏰ 36:47 (https://www.youtube.com/watch?v=2DRveju3vag&t=2207s) Feasibility of Organ Plug and Play (https://www.youtube.com/watch?v=2DRveju3vag&t=2207s) ⏰ 38:13 (https://www.youtube.com/watch?v=2DRveju3vag&t=2293s) What's next for Amy (https://www.youtube.com/watch?v=2DRveju3vag&t=2293s) Where to find Amy * Amy’s Website (https://www.amykarle.com/) * Instagram (https://www.instagram.com/artist_amy_karle/) * Twitter (https://twitter.com/amykarle) * Facebook (https://www.facebook.com/AmyKarleArt/) * LinkedIn (https://www.linkedin.com/in/amykarle/) * Discord (https://discord.com/invite/6kVnQXMrSg) * Wikipedia (https://en.wikipedia.org/wiki/Amy_Karle) Where to find Natalia * 🆕 Maven Generative AI for Business Workshop (https://maven.com/marily-nika/generative-ai?fbclid=IwAR0zMfxNkyeY9kKRK0sfFiU6GFtCF4tex96n7mAoVLmUuuaH7NV6ONzrFCc) * YouTube (https://www.youtube.com/@aistudiospodcast) * Substack (https://aistudios.substack.com/) * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

7. 

   15 May 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 (https://www.linkedin.com/in/ACoAAAI07sMBADVkMrXsFNB2ygZpg5BFxI967nc) 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). ⏰ 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 (https://www.corridordigital.com) * Marques Brownlee (https://www.youtube.com/user/marquesbrownlee) * Freddie Wong (https://en.wikipedia.org/wiki/Freddie_Wong) * Riley (https://www.tiktok.com/@rileydoingthingstoo?lang=en) * Nathan Lands (https://twitter.com/NathanLands) * Joma Tech (https://www.youtube.com/channel/UCV0qA-eDDICsRR9rPcnG7tw) * Midjourney (https://www.midjourney.com/) * Controlnet (https://github.com/lllyasviel/ControlNet) Where to find Bilawal * TikTok (https://www.tiktok.com/@billyfx) * YouTube (https://www.youtube.com/@bilawal) * Twitter (https://twitter.com/bilawalsidhu) * LinkedIn (https://www.linkedin.com/in/bilawalsidhu/) Where to find Natalia * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

8. 

   5 May 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 (https://docs.google.com/document/d/1oRCVHJhjUCA_111LfKm_x0jQNb0K2nPqYeuV9s9Bnhk/edit#) * Google PAIR resources: People + AI Research - Chapters (https://pair.withgoogle.com/guidebook/chapters) * “How can companies help people understand privacy-enhancing technologies like on-device learning? (https://www.ttclabs.net/research/how-to-help-people-understand-privacy-enhancing-technologies)” * The Future of AI is People-Centered (https://jenny-comiskey.medium.com/the-future-of-ai-is-people-centered-ff7591707004) * Mapping qualitative and quantitative methods Comparing UX Research Methods (https://medium.com/meta-research/comparing-ux-research-methods-d315050b1698) * Synthetic Users: [2209.06899] Out of One, Many: Using Language Models to Simulate Human Samples (https://arxiv.org/abs/2209.06899) Where to find Lauren & her work * LinkedIn (https://www.linkedin.com/in/laurenmichellekaplan/) * Twitter (https://twitter.com/LMKaplanPhD) Where to find Natalia * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

9. 

   25 Apr 2023

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

   Esteban Constante (https://www.linkedin.com/in/estebanconstante/) 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). 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 (https://leonardo.ai/) * Breakthrough Advertising by Eugene M. Schwartz (https://www.amazon.com/Breakthrough-Advertising-Eugene-M-Schwartz/dp/0887232981/ref=sr_1_1?crid=338GF5PN8BRDN&keywords=breakthrough+advertising+eugene+schwartz&qid=1694323457&sprefix=Breakthrough+Advertising%252Caps%252C190&sr=8-1&ufe=app_do%253Aamzn1.fos.c3015c4a-46bb-44b9-81a4-dc28e6d374b3&_encoding=UTF8&tag=aistudiospodc-20&linkCode=ur2&linkId=fc9fc6b6840bcc38bb0cbec109e234e7&camp=1789&creative=9325) Where to find Esteban & his work * Esteban on LinkedIn (https://www.linkedin.com/in/estebanconstante/) * Twitter (https://twitter.com/TheMoonMidas) Where to find Natalia * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

10. 

    14 Apr 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). 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 (https://www.linkedin.com/pulse/framework-evaluating-generative-ai-use-cases-barak-turovsky/?trackingId=cNJnClECRSSYKchATpqqMQ%3D%3D)) * The Great AI awakening story (https://www.nytimes.com/2016/12/14/magazine/the-great-ai-awakening.html) from New York Times (covering the first-ever productization of deep neural networks with Google Translate (https://blog.google/products/translate/found-translation-more-accurate-fluent-sentences-google-translate/)), is one of best written stories about ML/AI history and challenges * Barak’s presentation to Indian Prime Minister Modi (https://youtu.be/wBzpkrAgRUI?t=232) when he visited Google campus (https://www.facebook.com/narendramodi/photos/a.10150164299700165/10156200959020165/) * Google Translate vs. La Bamba (https://www.youtube.com/watch?v=06olHmcJjS0&list=PL590L5WQmH8duxGC2KkpCrehZRguas-rC&index=6) (Google Translate team playing with visual, AR-based translation feature) Where to find Barak & his work * Barak on LinkedIn (https://www.linkedin.com/in/baraktur/) * Twitter (https://twitter.com/baraktur) * Barak's Interview (https://glginsights.com/articles/chatgpt-will-the-future-be-ai-generated/?utm_source=linkedin&utm_medium=social&utm_campaign=companyfeed) with GLG Experts Network about Generative AI * Barak's Keynote at CES 2021 (https://www.youtube.com/watch?v=QXSAW35Y2nY&t=71s) about latest and greatest in Languages AI Where to find Natalia * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) * Instagram (https://www.instagram.com/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

11. 

    5 Apr 2023

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

    Jason M. Allen (https://www.jasonmallen.com/) 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). 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 (https://www.amazon.com/Mission-Art-20th-Anniversary/dp/1611806755/)) * ⏰ 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 (https://www.ascendedkings.com/) * Mission of Art by Alex Grey (https://www.amazon.com/Mission-Art-20th-Anniversary/dp/1611806755/) Where to find Jason * Jason’s Website (https://www.jasonmallen.com/) * Jason M. Allen Files Request for Reconsideration with Copyright Office for AI-Assisted Artwork (https://artincarnate.com/press-release-jason-allen-request-reconsideration-copyright-office/) * The COVER Protest: Copyright Obstruction Violates Expressive Rights (https://artincarnate.com/cover-protest-statement/) Where to find Natalia * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) * Instagram (https://www.instagram.com/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

12. 

    29 Mar 2023

    🎸Kaiber Generative AI for Music Videos

    Kaiber (https://www.kaiber.ai/) is a generative AI startup founded by Victor Wang (https://www.linkedin.com/in/stokebuilder/), Eric Gao (https://www.linkedin.com/in/eric-gao-a5056356/) and Jacky Lu (https://www.linkedin.com/in/jackylu97/). With videos for Linkin Park (https://www.youtube.com/watch?v=iKBCVZqqooY&t=1s) and visuals for all 15 of Kid Cudi’s Entergalactic videos (https://www.youtube.com/watch?v=zr-PTLqbYqo&t=2s) 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 (https://podcasts.apple.com/us/podcast/ai-studios-podcast/id1677433385) and Spotify (https://open.spotify.com/show/0dZVRG2G09gFox3dbuWYNB). Detailed Breakdown ⏰ 1:10 Victor, Jacky & Eric’s backgrounds ⏰ 5:40 Kaiber (https://www.kaiber.ai/)Origin story ⏰ 10:10 Creating Visuals for Kid Cudi (https://www.youtube.com/channel/UCoNPsL8j28yfKRu6e7YUhPA)’s Entergalactic (https://www.youtube.com/watch?v=zr-PTLqbYqo) videos ⏰ 13:00 Working with Mike Shinoda (https://en.wikipedia.org/wiki/Mike_Shinoda) of Linkin Park (https://www.youtube.com/channel/UCZU9T1ceaOgwfLRq7OKFU4Q) ⏰ 14:35 Releasing videos for Linkin Park’s Meteora (https://www.youtube.com/playlist?list=PLlqZM4covn1Gq-Ka012zbpdOsWVxF3BAp) 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 (https://www.kaiber.ai/) * Discord Community (https://discord.com/invite/9b6fP84mG3) * Instagram (https://www.instagram.com/kaiber.ai/) * Twitter (https://twitter.com/KaiberAI) Where to find Victor * LinkedIn (https://www.linkedin.com/in/stokebuilder/) * Twitter (https://twitter.com/stokebuilder) Where to find Jacky * 🌐 Jacky’s Website (https://jacky.lu/) * Instagram (https://www.instagram.com/jackylu97/) * LinkedIn (https://www.linkedin.com/in/jackylu97/) Where to find Natalia: * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) * Instagram (https://www.instagram.com/nataliaburina/) 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

13. 

    21 Mar 2023

    🌊 Marc Hemeon Is Generative AI the end of Designers?

    Marc Hemeon (https://www.marchemeon.com/) is a designer, artist, surfer and entrepreneur. Marc was the Head of Creative and Digital for Kosas (https://kosas.com/), worked at Meta AI (https://ai.facebook.com/)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 (https://ai.facebook.com/) ⏱ 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 (https://openai.com/blog/chatgpt) to Write Blogs Authentically ⏱ 22:35 Marc’s HeartYou Monomyth Project (https://medium.com/@TEKSTartist/monomyth-by-heart-you-project-and-artist-spotlight-b163bc44ab17) using Midjourney (https://www.midjourney.com) ⏱ 23:30 ChatGPT for Ads ⏱ 27:33 What ChatGPT Refused to Do ⏱ 30:17 Launching Facebook Captions Powered by AI (https://ai.facebook.com/blog/powered-by-ai-new-automated-captions/) ⏱ 32:11 TikTok’s Beauty Filters (https://www.tiktok.com/discover/beauty-filters) ⏱ 34:04 Are we turning into humans from WALL·E (https://www.imdb.com/title/tt0910970/)? Where to find Marc: * Marc’s Oil Paintings (https://www.marchemeon.com/) * Waveblocks  (https://linktr.ee/waveblocks) * Twitter: @hemeon (https://twitter.com/hemeon) * Instagram: @hemeon (https://www.instagram.com/hemeon/) * LinkedIn (https://www.linkedin.com/in/marchemeon/) Where to find Natalia: * Twitter (https://twitter.com/Nale) * LinkedIn (https://www.linkedin.com/in/nataliaburina/) Where to find Ashita: * Twitter (https://twitter.com/ashitaa) * Fantoons (https://www.fantoons.xyz/) * LinkedIn (https://www.linkedin.com/in/ashitaachuthan/) Referenced: * Prompt Hunt (https://www.prompthunt.com/) * Heart You (@XXHeartYou) / Twitter (https://twitter.com/XXHeartYou) * Monomyth (https://medium.com/@TEKSTartist/monomyth-by-heart-you-project-and-artist-spotlight-b163bc44ab17) * The Genius Zone: The Breakthrough Process to End Negative Thinking and Live in True Creativity (https://www.amazon.com/Genius-Zone-Breakthrough-Negative-Creativity/dp/1250246547) * Marc’s son loves Kaiju (https://en.wikipedia.org/wiki/Kaiju) AI Tools: * Midjourney (https://www.midjourney.com) * ChatGPT (https://openai.com/blog/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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

14. 

    14 Mar 2023

    Sean Byrnes on AI and the Creative Process

    About Sean Sean Byrnes (https://breakingpoint.substack.com) 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 (https://artbybyrnes.com). Sean has a deep understanding of AI gained as a founder and CEO of Outlier.ai (https://outlier.ai/), the world's first automated data analysis platform and Flurry (https://flurry.com/), the largest analytics platform for mobile applications. Sean is also a partner at LucidFog (https://lucidfog.com/), 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 hone artistic  skills yet today AI can generate similar creative works within minutes. This means that artist livelihoods are threatened. * Use of original art to train AI models Generative AI models are trained on corpuses of content which is copyrighted. By law technology can’t plagiarize but can take copyrighted content and can own the model. It’s not entirely clear how this works. Artists publish art and portfolio Somebody else can show up because ML models can create things. Stable diffusion generates artists' signatures where you can see it stealing. Will have to pay an artist to use it in an ML model. Artists have a real concern. * Art doesn’t solve an explicit problem - Creating art has always been a difficult endeavor with artists’ work subjected to opinions. Artists have to have a thick skin in order to deal with a constant barrage of opinions. AI Ethics * Attribution How can artists be compensated and acknowledged when generative AI models are trained with their work? * Copyright In a recent court case Kris Kashtanova (https://copyright.gov/docs/zarya-of-the-dawn.pdf), a comic book author received the first known copyright registration for AI art. It was initially revoked after the U.S. copyright office discovered her images were created with Midjourney. “We conclude that Ms. Kashtanova is the author of the Work’s text as well as the selection, coordination, and arrangement of the Work’s written and visual elements. That authorship is protected by copyright. However, as discussed below, the images in the Work that were generated by the Midjourney technology are not the product of human authorship. Because the current registration for the Work does not disclaim its Midjourney-generated content, we intend to cancel the original certificate issued to Ms. Kashtanova and issue a new one covering only the expressive material that she created. “ Zarya of the Dawn letter (https://copyright.gov/docs/zarya-of-the-dawn.pdf). A lot of the copyright issues around AI and art are fuzzy at the moment and will need to be ironed out. * Accountability If a self-driving car kills someone whose fault it is? We don’t have provisions for robots being responsible today. Art has the same problem, what if generative AI creates child pornography - whose fault is it - the company, people who put images in the training data or the person who generated them? Who is responsible for when these things go wrong? Is it ethical for AI to absorb images that are not copyrighted? Who has economic ownership and rights of the art that’s created? The blame and responsibility is a big question, people will hide behind the ambiguity until we figure out a way to take care of it, this is dangerous and scary. Final Words Sean left us with one last question - why do we create new art? Our libraries are full of books. We’ve created so much content? Why do we need more? 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 (https://aistudios.substack.com?utm_medium=podcast&utm_campaign=CTA_1)

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

4.5 / 5

2 ratings

Podcast Authority Score: 12 / 100

A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.

Quality

11

Social presence

0

YouTube

0

Engagement

32

Contact AI Studios with Natalia Burina

Guest appearances

Books guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.