The Deep View: Conversations

Latest Episodes:

Apple fixed Siri, but that's not its biggest AI story Jun 11, 2026

Show notes

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

AI's real question isn't whether AGI arrives Jun 06, 2026

Show notes

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.

How Google wants to turn prompts into companies Jun 03, 2026

Show notes

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.

Why ChatGPT won't stay a chatbot forever May 31, 2026

Show notes

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.

Google's new AI glasses: The inside story May 25, 2026

Show notes

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.

How the compute crisis is defining the future of AI May 24, 2026

Show notes

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.

Android's new AI trades flashiness for smarts May 12, 2026

Show notes

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.

Why the future of AI is hybrid and not cloud May 11, 2026

Show notes

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.

Why process intelligence is the missing context for AI May 04, 2026

Show notes

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.

The AI shift every brand needs to understand Apr 27, 2026

Show notes

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.

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