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The Deep View: Conversations: Daily Summaries Delivered
by The Deep View
From frontier labs and enterprise platforms to emerging startups reshaping entire industries, The Deep View: Conversations podcast interviews the brightest minds and the most influential leaders in AI.
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The most recent episodes — sign up to get AI-powered summaries of each one.
- 2 days ago28 min
#55 - Why modeling 'I don’t know' is AI's most urgent problem - Ruchir Puri
AI systems almost always have an answer, even when they should say, “I don’t know.”In this episode of The Deep View Conversations, senior reporter Sabrina Ortiz speaks with Ruchir Puri, chief scientist at IBM Research, about why uncertainty modeling may be AI’s most urgent technical challenge.Puri explains why today’s models struggle to recognize the limits of their own knowledge, how that failure contributes to hallucinations, and what researchers must solve before AI can become more reliable. He also explores the need for self-improving models, the enormous energy gap between artificial and human intelligence, and why the future of AI depends on doing more with less compute.The conversation also covers:• Why Puri predicted in 2020 that AI would transform software development• How big data, GPUs, and transformer architectures created the current AI boom• Why intelligence involves more than IQ• The roles of emotional and relationship intelligence• Why language models cannot capture the full complexity of the physical world• How AI could help redesign software, quantum computing, and chip development• Why Puri prefers "artificial useful intelligence" over AGIRather than chasing abstract definitions of general intelligence, Puri argues that the industry should focus on building AI that is useful, efficient, adaptable, and honest about what it does not know.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- 2 weeks ago40 min
#54 - Why sovereign AI is so urgent in the agentic era - Priya Srinivasan
Is it possible for enterprises to build AI agents they can actually trust?In this episode of The Deep View Conversations, Senior Reporter Sabrina Ortiz sat down with Priya Srinivasan of IBM to discuss Sovereign Core, IBM’s software designed to enable enterprises to deploy AI in a secure, compliant, and sovereign way.As AI moves from chatbots to agents that can take real action inside organizations, companies need more than speed. They need to know where their data lives, where their models run, who has access, and whether their AI systems comply with internal policies and external regulations.Srinivasan explains why digital sovereignty is becoming more urgent in the AI era, especially for governments, regulated industries, and enterprises trying to move AI projects from proof of concept to production. She also breaks down how Sovereign Core is designed to bring the control plane, security, access, compliance evidence, and deployment flexibility inside an organization’s own boundaries.Topics covered include:What digital sovereignty means in the age of AIWhy AI agents raise new questions around governance and trustHow IBM Sovereign Core helps enterprises deploy AI workloadsWhy compliance can slow AI projects from reaching productionWhat "sovereignty with receipts" meansHow companies can balance speed, cost, compliance, and innovationWhy regulated industries need stronger AI governance from day oneIf you’re interested in enterprise AI, agents, governance, compliance, or how major companies are trying to make AI production-ready, this conversation offers a look at what the next stage of trustworthy AI deployment will require.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- 3 weeks ago29 min
#53 - How to rethink AGI through multimodal systems - Caroline Ingeborn
In this episode of The Deep View Conversations, we sat down with Caroline Ingeborn, COO of Luma, an AI lab dedicated to omnimodal intelligence, to discuss where generalized physical AI could take us. Rather than focusing only on video models, Luma takes an omnimodal, or multimodal, approach, creating models that understand text, video, images and audio. This, said Ingeborn, is because humans don't think in one modality. These kinds of models have many potential use cases and could even help researchers achieve general intelligence. Luma's primary audience right now is the creative industries, such as entertainment, advertising and marketing. Ingeborn said she sees the technology as enhancing the creative experience rather than replacing creative professionals. Topics covered include:Where AI fits into creative workflowsThe ethical lines of AI in creativity Luma's mission towards generalized physical intelligencePhysical AI's potential impact on the labor marketThe different approaches to building world modelsThe dangers of centralized power in physical AGIIf you're following the progress of world models, physical AI and robotics, and the use of AI in creative fields, then this episode offers a deeper look at how these technologies are being used today and the transformative impact they could have in the future. Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- Jun 28, 202610 min
#51 - Can AI create a golden age of scientific discovery? - Yossi Matias
In this episode of The Deep View Conversations, we sit down with Yossi Matias, head of Google Research, to explore how AI is transforming the way science gets done.Rather than replacing scientists, Google is building AI systems designed to amplify human ingenuity. From searching millions of research papers to generating new hypotheses and accelerating experiments, these tools aim to help researchers move from ideas to discoveries faster than ever before.Yossi explains why he believes we're entering a new era where AI can democratize scientific research, empower the next generation of scientists, and dramatically shorten the path from breakthrough to real-world impact.Topics covered include:How Gemini for Science is changing research workflowsWhat AI Co-Scientist, AlphaEvolve, and the Empirical Research Assistant actually doWhy the scientific method is becoming even more important in the AI eraHow Google is partnering with universities including Stanford and Imperial CollegeWhy AI could give every researcher a "virtual lab" in their pocketWhat a golden age of scientific discovery might look likeIf you're interested in AI, scientific discovery, biotechnology, or the future of innovation, this conversation offers a look at how one of the world's leading AI research organizations sees the next decade unfolding.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.fm And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- Jun 17, 202614 min
#51 - Why Snap chose a face computer over AI glasses - Evan Spiegel
Snap CEO Evan Spiegel joins The Deep View Conversations to discuss SPECS, Snap's long-awaited augmented reality glasses and why he believes they represent a new era of computing.Senior reporter Sabrina Ortiz interviewed Evan at Augmented World Expo immediately after the SPECS unveiling and Spiegel explained why Snap spent more than a decade building toward this moment, how SPECS differ from AI smart glasses and mixed reality headsets, and why he sees AR glasses as the future beyond smartphones.Other topics covered include:Why Snap calls SPECS a "computer" instead of AI glassesHow SPECS combine wearability with advanced spatial computingThe role AI played in making consumer AR glasses viableWhy shared experiences could become AR's killer appThe challenge of competing with Apple, Meta, and other tech giantsSnap's 12-year investment in augmented reality hardware and softwareThe importance of developers in building the AR ecosystemWhy Spiegel believes people are ready for an alternative to smartphonesHow AR glasses could make computing more humanSpiegel argues that after nearly two decades of smartphone dominance, consumers are increasingly looking for a more natural way to interact with technology. Snap's bet is that augmented reality glasses can bring computing into the world around us instead of pulling us away from it.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transistor.fmAnd don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- Jun 14, 202657 min
#50 - The 3 human skills that will endure in the AI era - Dmitry Shevelenko
Perplexity has become one of the most important AI companies in the world, but its ambitions now stretch far beyond AI-powered search.In this episode of The Deep View Conversations, we sit down with Dmitry Shevelenko, chief business officer at Perplexity, to discuss how the company evolved from an AI answer engine into a platform for AI agents and digital coworkers. Dmitry explains why Perplexity has focused so intensely on accuracy, how AI is changing the nature of work, and why he believes the future belongs to small, highly leveraged teams.The conversation also explores Perplexity Computer, hybrid compute, the coming shift toward AI agents, and what leaders need to do to stay relevant in a world where AI increasingly performs knowledge work.Topics covered:• Why Perplexity made accuracy its defining principle• How Perplexity grew from 20 employees to 400• The rise of AI agents and digital coworkers• Why Perplexity abandoned advertising as a core strategy• How Perplexity Computer orchestrates multiple AI models• The future of hybrid cloud and local AI computing• Why "tokenmaxxing" may not be sustainable• How AI is reshaping entry-level jobs• Why entrepreneurship may become the new career path• The three skills that will matter most in the AI era• How leaders should think about leverage and productivity• What Perplexity sees coming next in AIIf you're trying to understand where AI agents are headed, how work is changing, and why Perplexity has emerged as one of the AI industry's key players, this is a conversation you won't want to miss.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- Jun 12, 20261h 0m
#49 - Apple fixed Siri, but that's not its biggest AI story - Sabrina Ortiz
At Apple Park, Jason Hiner and Sabrina Ortiz sat down for a special episode of The Deep View Conversations at the end of WWDC 2026 to break down Apple's biggest AI announcements.After two years of delays, promises, and mounting pressure, Apple finally delivered the Siri and Apple Intelligence experience we've been waiting for. But the bigger story may be how Apple is bringing AI to everyday users without forcing them into chatbots, new apps, or complicated workflows.In this conversation, Jason and Sabrina unpack the most important announcements from WWDC, debate Apple's approach to AI, and explore where Apple's strategy differs from OpenAI, Google, Anthropic, and the rest of the industry.Topics covered include:Why Apple's new Siri is a much bigger deal than it looksHow 'Personal Context' is Apple's biggest AI advantageWhy Apple is betting on features over chatbotsThe role of privacy, trust, and Private Cloud ComputeWhy Spatial Reframing is Apple's most innovative AI featureHow Apple Intelligence works with Apple's Foundation Models and Google GeminiThe AI upgrades coming to Photos, Safari, Messages, Writing Tools, and MacWhy Jason thinks Apple needs a stronger AI agent strategyWhy Sabrina believes Apple is right to avoid AI buzzwordsWhat WWDC revealed about the future of AI on iPhone, Mac, Vision Pro, and beyondThe biggest wins, misses, and unanswered questions from Apple's AI roadmapIf you're trying to understand where AI is actually headed, beyond the hype cycle, this is an episode you won't want to miss. Whether you're an Apple user, an AI enthusiast, a developer, or simply curious about how AI will show up in everyday life, this conversation offers one of the clearest perspectives on Apple's next chapter.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transistor.fm And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
- Jun 6, 202642 min
#48 - AI's real question isn't whether AGI arrives - Ahmad Al-Dahle
Ahmad Al-Dahle has been at the center of some of the biggest technology and societal shifts of the past two decades. He helped develop the early iPhone at Apple, spearheaded the open-source Llama models at Meta to help decentralize AI power and influence, and now serves as CTO of Airbnb, where he's using AI to help people spend more time in the real world.In this episode of The Deep View Conversations, we sat down with Ahmad to discuss Airbnb's vision for AI, why he believes AGI is coming, how AI agents are revolutionizing executive workflows, and why technology should ultimately help people spend less time with technology and more time having human experiences.Topics covered include:+ Why Ahmad left Apple after over 15 years+ How Airbnb is using AI to reimagine travel and drive more meaningful connections+ The future of open-source AI and the impact of Llama+ Why Ahmad believes AGI is inevitable and what comes next+ How AI agents are transforming leadership and productivity+ Lessons from working with Steve Jobs, Mark Zuckerberg, and Brian CheskyIf you're a leader, AI builder, entrepreneur, investor, or anyone trying to understand where AI is headed beyond the hype, you don't want to miss this episode. Ahmad's insights on AGI, open models, AI agents, and the future of human connection make this one of the most thoughtful discussions we've had on the show.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com
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About The Deep View: Conversations
From frontier labs and enterprise platforms to emerging startups reshaping entire industries, The Deep View: Conversations podcast interviews the brightest minds and the most influential leaders in AI.
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