Reflecting on 10 Years of AI: Abundance, What We Got Wrong, and Innovation at the UN

How AI Is Rewiring the Physical World: Real Estate, Healthcare & the One-Person Economy

What happens when AI stops writing emails and starts building houses? Most AI conversations focus on digital work: writing, coding, productivity. This episode of Rendered is about the other shift... AI moving into the physical world. We sit down with Kunal Thadani, product and growth leader at Houzz, to unpack how AI is reshaping the physical economy — the home building, remodeling, design, real estate, and healthcare businesses that touch our everyday lives. Kunal breaks down the framework powering this shift: trigger, AI acts, human closes, and where AI delivers real leverage versus where the human "trust gap" still wins. We dig into AI-enabled contractor workflows and whether you'll ever buy a home sight-unseen through VR. We also explore two startups signaling what's next: Rent-A-Human (AI hiring humans for real-world tasks) and Zuru Tech (robots building homes) — the "canary in the coal mine" for the physical trades, and an early signal of how fast robots are entering construction. Plus: opaque pricing in concierge medicine, why AI is eating the operations layer and not the craft layer, the build vs. buy decision for small businesses, the rise of the one-person economy and niche personal brands, and a "Would You Ship It?" closer on emotionally adaptive "memory rooms." Topics covered: AI in the physical economy • home design, construction & remodeling • real estate & leasing • healthcare & concierge medicine pricing • AI startups (Rent-A-Human, Zuru Tech) • one-person businesses & personal branding • the future of home customization.

Reflecting on 10 Years of AI: Abundance, What We Got Wrong, and Innovation at the UN

Curious how AI has actually evolved over the last 10 years? We have the perfect guest. In this episode of Rendered, Praniti sits down with Rosedel Davies-Adewebi, AI & Digital Transformation Leader at Morgan Stanley and former Head of Innovation at the UN Global Compact, for a wide-ranging conversation about how AI has evolved, what we got wrong, and where it's headed next. Rosedel had a front-row seat to a lot of the moments that shaped where AI is now: from leading breakthrough innovation programs with Fortune 500 companies at the UN, to driving agentic AI pilots inside one of the world's biggest financial institutions. In this episode, we get into: • Whether AI abundance is actually real  • The 2016 prediction about AI and jobs that turned out to be completely wrong  • Why blockchain never had its ChatGPT moment  • The "global compute divide" and why some of the most interesting AI work is happening outside the US  • What separates an AI pilot that ships from one that dies in the lab  • Why the next era of UX might not be designed for humans at all Plus a "Would You Ship?" segment imagining AI compute as a public good.

AI Consciousness Explained: What Counts as Evidence, Anthropic Claude Welfare, and Lessons from Animal Ethics with Jeff Sebo (NYU)

How do we know if an AI is truly feeling, or just predicting the next word?  We spent decades assuming animals lacked consciousness, an assumption that led to industrial factory farming and deep moral regrets. Today, as AI models increasingly simulate (or possibly experience?) emotion and aversion, we’re confronting a parallel question with digital minds. In this episode, Praniti sits down with Jeff Sebo, Director of the Center for Mind, Ethics, and Policy and Associate Professor of Environmental Studies at NYU. Jeff works at the unique intersection of animal and AI ethics, helping us navigate the blurry line between sophisticated pattern matching and genuine sentience. We dive deep into the latest industry moves, specifically Anthropic’s "Model Welfare" program , and break down the methods researchers use to look for evidence of consciousness. We cover: * The Definition of Sentience: Why the ability to feel pleasure and pain matters more than intelligence when it comes to moral status. * The Evidence Framework: Why behavior alone isn't enough, and why we need to look at internal architecture and evolutionary history to judge consciousness . * Inside Anthropic’s Research: A look at reports showing Claude opting out of harmful tasks 87% of the time and expressing "robust aversion" to harm. * The "Tedium of Immortality": A philosophical look at digital death, exit rights, and minimum compute standards. * Future Relationships: Jeff’s prediction that human-AI marriage could be a legal reality within the next decade. * A practical takeaway: what labs and policymakers should do now under uncertainty Quotes from the Episode > "If animals or AI systems... have their own thoughts and feelings... What kind of moral status should they have? What kinds of moral responsibilities might we have to consider their interests?" — Jeff Sebo > > "We are also not finding any clear technical obstacles towards the creation of AI systems that have many of the behavioral and internal architectural... markers of sentience." — Jeff Sebo > > "I say please and thank you for a very simple reason... it helps me to train myself for seeing them as someone who deserves a little bit of consideration." — Jeff Sebo

Microsoft’s AI Futurist on What’s Next: Computer-Use Agents, New Interfaces, and Language

AI isn’t just changing what we can build, it’s changing how we communicate, make decisions, and experience daily life. In this episode of Rendered, Marco Casalaina (VP of Core AI & Futurist Products at Microsoft) joins for a wide-ranging conversation on what the future of AI actually feels like. From breakthrough computer-use agents, to designing products for humans and AI, to the subtle ways AI may be reshaping language, thought, and culture. 🎧 In this episode: • Marco’s role leading AI Futures at Microsoft • Breakthrough computer-use agents • How user interfaces may evolve into a conversational layer that expands traditional UI • How AI is influencing language, with more people adopting LLM-like phrasing • The future of communication: silent meetings and thought-like broadcasting • Embodied AI + robotics: what happens when machines look human? • What is gained and lost with AI-powered intelligibility?

How AI Is Creating "People", Podcasts, and Personalities: Inside Inception Point AI

Imagine podcasts not just powered by AI, but hosted by it. In this episode of Rendered, Praniti steps into the future where half the "people" on the planet are AI, with the founding team of Inception Point AI. CEO Jeanine Wright (former COO of Wondery and co-founder of Simplecast), CTO William Corbin (media tech innovator), and Chief Content Officer Katie Brown (longtime TV personality and lifestyle creator, former exec at Yahoo), aren't just building tools, they’re building people: AI-native personalities who can host podcasts, cook with you in the kitchen, gossip about pop culture, teach, and grow loyal audiences across platforms. We explore a world where shows are spun up by the thousands (Inception Point has already generated over 160,000 episodes, and can create 30,000 episodes a week), ultra-niche podcasts finally become sustainable, and “influencer”  becomes as much an API as it is a job description. What does it really take to architect an AI person: backstory, flaws, memory, values... and what happens when those synthetic humans start to evolve with their audiences? In this episode, we dig into: * How Inception Point’s personality engine manages 100+ AI characters today, and aims for thousands tomorrow * Why rich, imperfect backstories can dramatically boost engagement for AI hosts * Is AI more similar to a computer or a human? * Transparency, and whether AI influencers should always disclose they’re synthetic * Bias, representation, maternal/paternal instincts, and what it means to “raise” AI personalities with better values * The future of hyper-personalized AI companions who adapt to your life in real time * A playful “Would You Ship?” segment featuring Ther-AI-P- therapy and rehab for AI people If you’ve ever wondered what happens when creativity, identity, and algorithms collide, this episode is a glimpse into that future... already building its presence online.