The Deep View: Conversations

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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June 28 · 10 min
Can AI create a golden age of scientific discovery?
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 workflows What AI Co-Scientist, AlphaEvolve, and the Empirical Research Assistant actually do Why the scientific method is becoming even more important in the AI era How Google is partnering with universities including Stanford and Imperial College Why AI could give every researcher a "virtual lab" in their pocket What a golden age of scientific discovery might look like If 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
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June 17 · 14 min
Why Snap chose a face computer over AI glasses
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 glasses How SPECS combine wearability with advanced spatial computing The role AI played in making consumer AR glasses viable Why shared experiences could become AR's killer app The challenge of competing with Apple, Meta, and other tech giants Snap's 12-year investment in augmented reality hardware and software The importance of developers in building the AR ecosystem Why Spiegel believes people are ready for an alternative to smartphones How AR glasses could make computing more human Spiegel 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.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
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June 14 · 57 min
The 3 human skills that will endure in the AI era
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 AI If 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
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June 12 · 1 hr
Apple fixed Siri, but that's not its biggest AI story
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 looks How 'Personal Context' is Apple's biggest AI advantage Why Apple is betting on features over chatbots The role of privacy, trust, and Private Cloud Compute Why Spatial Reframing is Apple's most innovative AI feature How Apple Intelligence works with Apple's Foundation Models and Google Gemini The AI upgrades coming to Photos, Safari, Messages, Writing Tools, and Mac Why Jason thinks Apple needs a stronger AI agent strategy Why Sabrina believes Apple is right to avoid AI buzzwords What WWDC revealed about the future of AI on iPhone, Mac, Vision Pro, and beyond The biggest wins, misses, and unanswered questions from Apple's AI roadmap If 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
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June 6 · 43 min
AI's real question isn't whether AGI arrives
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 Chesky If 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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June 3 · 36 min
How Google wants to turn prompts into companies
Behind the current AI boom is a developer community that both uses and builds powerful tools. Google recently released a wave of new developer-focused AI tools at Google I/O, but one person has gone further: fostering an entire online community. Google's Logan Kilpatrick joined Sabrina Ortiz on The Deep View Conversations podcast straight from Google I/O, not only to share more insights on the new products but also to draw on his rich quilt of experiences to address the broader AI space, the future of software engineering, the developer community and more. While Logan's official role is as a member of technical staff at Google DeepMind, he has become a well-respected voice in the developer community, accumulating over 320K followers on X and constantly engaging with users. Prior to joining Google, Logan worked for NASA, OpenAI, Apple, and other AI startups, making him a builder at his core. Topics covered in this episode: + 'Vibe coding' compared to agentic engineering + The capabilities of Google's new Gemini 3.5 Flash + The internal "flywheel" at Google, where teams use AI to accelerate the development of products + The differences between AI Studio and Project Antigravity + The need for developers to regularly "reset their level of ambition” If you want to understand the distinction between rapid prototyping and managing million-line production codebases with AI, this conversation will leave you much more knowledgeable about the principles of agentic engineering. 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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May 31 · 33 min
Why ChatGPT won't stay a chatbot forever
In this episode of The Deep View Conversations, senior reporter Nat Rubio-Licht sits down with Ian Silber, Head of Product Design at OpenAI, to explore how ChatGPT is evolving for the future. Silber explains why designing for AI requires a different mindset than designing traditional apps. Instead of treating the model as something behind the interface, he says designers now have to think of the model itself as part of the material they work with. That shift changes everything from product decisions and user experience to ethics, safety, and human judgment. The conversation also covers Silber’s experience at Instagram, how that shaped his approach to building fast-growing consumer products, and how OpenAI’s design team is thinking about the next phase of ChatGPT, including more proactive and agentic experiences. Silber also shares how he personally uses AI in his work, from brainstorming design principles to prototyping ideas with Codex. Topics covered: + How OpenAI approaches product design for ChatGPT + Why AI changes the traditional design process + What designers can learn from fast-growing consumer products like Instagram + How ethics, safety, and responsibility show up in AI design + Why human judgment will become more important as AI tools improve + How Codex and image generation are changing prototyping workflows + What young designers should know as they enter the AI era + Why curiosity and adaptability matter in a fast-changing industry If you’re a designer, product leader, builder, technologist, or anyone trying to understand how AI is changing creative work, product development, and human decision-making, you don’t want to miss this episode. 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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May 25 · 28 min
#45 - Google's new AI glasses: The inside story - Juston Payne
This is a special episode of The Deep View Conversations podcast, recorded at Google I/O on Tuesday, May 19, 2026. AI smart glasses have quietly built momentum over the past several years, promising to put artificial intelligence directly in your line of sight. Now, Google has shown us the final product of its first AI glasses, which appear to have a clear competitive edge. Juston Payne, Google's director of product management for XR, joins The Deep View Conversations straight from Google I/O, where the company pulled the curtain back and gave the world a first look at two of the pairs that will lead the collection when they launch in the fall: a pair from Gentle Monster and one from Warby Parker. Juston discusses how the AI smartglasses came to be, including the collaboration between Samsung, Google, Warby Parker, and Gentle Monster. In addition to discussing details of the new launch, including design, product choices, functionality, the roadmap, and more, Juston also sheds light on the broader AI glasses market and why people should give them a shot. Topics covered: + The thought put into the aesthetics and comfort of smart glasses + What products will be available for users to purchase at launch + How the glasses act as an equivalent of a touchscreen on a phone for interacting with Gemini + The computation offloading strategy that leverages the user’s smartphone + The choice to first launch with an audio-only product rather than in-lens displays + How Google is approaching privacy concerns with the cameras on the glasses + Real-world use cases for AI smart glasses If you want to understand how AI glasses are reshaping the way people connect, this conversation will leave you much more knowledgeable about Google's strategy. 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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May 24 · 37 min
#44 - How the compute crisis is defining the future of AI - Robert Brooks IV
In this episode of The Deep View Conversations, we sit down with Robert Brooks IV, chief commercial officer at Lambda, to talk about the massive AI infrastructure buildout now underway. Lambda’s mission is to build supercomputers for superintelligence. But Brooks argues that the story is bigger than GPUs, data centers, and rising demand. It is about why compute is becoming one of the most strategically important resources in the AI economy, and why Lambda believes compute is not a commodity. The conversation goes deep on Lambda’s vision for democratizing AI, why the company invests in research, and how its experience building physical infrastructure shapes what it can offer AI labs, hyperscalers, enterprises, and researchers. Topics covered include: + Why Lambda thinks “one GPU per person” is achievable + The hidden complexity behind modern AI data centers + Why compute demand keeps surprising the industry + His $40,000 robot experiment and what it taught him about the future of work + How AI is changing the way leaders spend their time If you want to better understand the physical and economic foundations powering the AI boom, this conversation is worth your time. 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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May 12 · 22 min
#43 - Android's new AI trades flashiness for smarts - Mindy Brooks
Android’s latest AI update is less about flashy demos and more about solving everyday problems. In this special episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Mindy Brooks, VP of Product Management for Google Android, for an exclusive interview on Gemini Intelligence for Android. Brooks explains why Google is focusing its Android AI strategy on saving users small amounts of time across daily tasks. The conversation explores how Android is evolving from an operating system into a more personalized, context-aware "intelligence system" powered by Gemini. Topics covered include: + Rambler for Gboard, Google’s new AI-powered voice dictation system to rival Wispr Flow + The expansion of Task Automation across more apps + How Create My Widget uses AI to generate custom widgets on demand + How Intelligent Autofill is powered by Gemini's Personal Intelligence + The Android AI feature Brooks personally uses the most If you want to understand where mobile AI is headed next, and why Google believes utility matters more than spectacle, this conversation breaks it down. 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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May 11 · 31 min
#42 - Why the future of AI is hybrid and not cloud - Dr. Olena Zhu
What happens when AI moves from cloud-only to running everywhere, including on your laptop, your phone, and other devices around you? In this episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Olena Zhu, who leads AI for the client computing group at Intel, to explore one of the biggest shifts underway in AI: the move toward accessible, affordable, and privacy-first AI systems. Zhu explains why the economics and infrastructure demands of cloud-only AI may not scale indefinitely, and why on-device AI could become a critical part of the industry's future. She also reflects on the evolution from traditional AI systems to LLMs and now to agentic AI, and why this wave feels fundamentally different from the hype cycles that came before it. The conversation also dives into how AI is changing the way people work, learn, and experiment, including the surprising mindset Zhu believes helps people get the most value from AI tools today. Topics covered include: + Why cloud-only AI has limits + The future of on-device and edge AI + AI affordability, energy use, and data sovereignty + How agentic AI changed Zhu’s workflow + Why experimentation matters more than expertise + Intel’s vision for privacy-first AI systems + The hidden infrastructure challenge behind AI growth + Why AI adoption may depend on trust and accessibility If you're concerned about the affordability, accessibility, and privacy of AI, you don't want to miss this episode. 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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May 4 · 45 min
#41 - Why process intelligence is the missing context for AI - Alex Rinke
In this episode of The Deep View Conversations, we sit down with Alex Rinke, co-founder and co-CEO of Celonis, to unpack one of the most overlooked truths in enterprise AI. Rinke and his co-founders started Celonis 15 years ago in Munich with just $15,000. What followed was a grind, including thousands of handwritten letters to land early customers, and a steady evolution from process simulation to what is now known as process intelligence. Today, Celonis works with roughly half of the world’s 200 largest companies. Its platform acts like an MRI for the enterprise, creating a digital twin of how work actually happens across fragmented systems. Rinke’s core argument is simple and provocative: there is no enterprise AI without process intelligence. Companies that deploy agents without understanding their underlying processes risk automating inefficiency at scale. We also cover: + How Celonis re-engineered itself for the AI era + What the co-CEO model works like in practice and why it can be a competitive advantage + How hiring is changing inside AI-native companies + The tools Rinke uses to run his own workflow If you want to understand where AI actually delivers results inside large organizations, don't sleep on this conversation. Watch now and subscribe for more conversations at the frontier of AI. 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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April 27 · 21 min
#40 - The AI shift every brand needs to understand - Pat Brown
Analysts, marketers, and business owners face the same question: How do you reach audiences in an era when AI is reshaping how people search and find information they need? That’s a top-of-mind issue for Pat Brown, SVP of global marketing, growth, analytics, and platform at Adobe. Brown joins The Deep View Conversations to share his unique perspective on the issue, with the expertise of someone who was doing marketing science before it was even called that, and who, in his current role, is responsible for global marketing execution across various forms of media and has to put these skills into practice every day. Pat breaks down how AI is moving beyond content generation to reshape media workflows end-to-end, from audience measurement to agents that automate entire processes. Topics covered: + The role of AI agents in automating marketing workflows + How AI in marketing can augment rather than replace creativity + AI-powered marketing tools that help analyze patterns and signals + Whether AI has “killed” SEO and what that means for marketers’ jobs + The rise of new terms like AEO and GEO in a “zero-click” search world + Why it’s still worth investing in marketing and brand strategy despite AI changes + Why today’s AI-driven SEO landscape feels like the early days of SEO If you want to understand how AI is reshaping and helping individuals connect more effectively with audiences, this conversation will leave you feeling more knowledgeable about those topics. Subscribe for weekly conversations with the leaders shaping the future of AI. 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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