⚙️ New episode: Navrina Singh, CEO of @CredoAI Can AI move fast and still be safe? As the debate over AI safety and innovation grows more polarized, we explore the practical work of making powerful systems accountable. In this episode of The Deep View Conversations, we sit down with Navina to talk about what AI governance means for frontier labs, enterprises, and policymakers. They explore why governance is broader than regulation, how organizations can test and verify their AI systems, and what happens when capabilities advance faster than oversight. Topics covered: • Why Navrina sees AI safety and innovation as goals that can advance together • What the Hugging Face agent incident raises about frontier AI oversight • The “spectrum of trust,” from internal testing to independent audits and regulation • The risk of regulatory capture and the role of open models • How businesses weigh AI capability, cost, and control while managing "governance debt" • How Credo AI uses forward-deployed governance experts to help companies put oversight into practice • Why expertise, taste, and judgment remain valuable as AI takes on more work If you’re building, buying, or governing AI, this conversation offers a practical way to think about trust without losing sight of the technology’s promise. 📺 Watch on YouTube: piped.video/n1_aYOk7w7Q 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/a… 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

⚙️ New episode alert: Tara Seshan and Ty Geri of @OpenAI AI is transitioning from just answering questions to doing valuable work. The next challenge is making agents more accessible and simple enough that the technical details fade into the background. In this episode of The Deep View Conversations, @JasonHiner sits down with Tara and Ty from the ChatGPT Work team to explore what OpenAI is doing to make advanced agent capabilities useful to a lot more people. We also dig into some of the current challenges and how the team is approaching them. They explain how scheduled tasks and proactive assistance are changing the way people start their workdays, why AI lets teams move from debating ideas to testing prototypes, and how personalized software can turn one-off needs into purpose-built tools. They also discuss the challenge of token costs and model selection, why "super app" isn't the most useful framing for ChatGPT and Codex, and what it will take for agents to become more persistent, proactive, and connected. The conversation also covers: • How OpenAI is trying to bridge local and cloud workflows • Why Tara and Ty start their days with agents instead of Slack • Building personal apps and tools without traditional software overhead • The tradeoff between model capability, cost, and user control • More persistent agents and proactive personal assistance • Connecting agents to email, calendars, enterprise systems and third-party tools • Privacy, security and administrative controls for agentic work If you’re figuring out where agents fit into your work or what has to improve before you trust them with more of it, then this conversation offers a practical look at how OpenAI is preparing for that transition. 📺 Watch on YouTube: piped.video/watch?v=eoAMZUYQ… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/6… 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

⚙️ New episode: Sameer Samat (@ssamat) of @Google @Android The smartphone has been built around apps and taps for nearly two decades. Google believes AI will fundamentally change that. In this episode of The Deep View Conversations, @JasonHiner talked with Samat, president of Android ecosystem at Google, about what the company means when it says it's transforming Android from an operating system into an intelligence system. Samat explains why the next generation of computing could shift us from micromanaging our devices to simply telling them what we want to accomplish. We dig into how AI agents could navigate apps and complete multistep tasks and why those agents need to follow us across phones, computers, cars, watches and glasses. And what happens to the app-centric model that has defined smartphones for the past 15 years? We also get into some of the practical ways this is already taking shape. Samat discusses Google’s app automations and Rambler, the new Google Keyboard experience that can turn your voice brain-dumps into polished text. He also explains how Google is thinking about permissions, sandboxing and human oversight as AI agents gain the ability to take action on our behalf. The conversation goes well beyond the phone. We talk about why smart glasses and cars could be especially powerful interfaces for AI agents, what Google learned from the original Google Glass, and why the best AI features may be the ones consumers barely think of as AI. Other topics covered include: • How AI is already changing work inside Google • Why product managers can now build functional prototypes themselves • Samat's favorite overlooked AI tool • His "calendar cleanse" strategy for getting time back If you’re trying to understand where mobile computing goes next, what AI agents will actually look like on phones, and how Google plans to weave intelligence across devices, this conversation offers insights into what the company is building and why. 📺 Watch on YouTube: piped.video/hlbuo_KbDPs 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/5… 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

⚙️ New episode: Zuzanna Stamirowska of Pathway What comes after large language models? In this episode of The Deep View Conversations, we talked with Stamirowska, CEO and co-founder of Pathway, to explore why her team believes today’s dominant AI architecture has fundamental limits, and what it could take to move beyond them. Pathway is developing Dragon Hatchling, a new architecture designed to give AI native memory, continual learning, and a different approach to reasoning. Stamirowska explains why today’s LLMs can appear to remember without actually internalizing what they learn, why reasoning through language creates its own constraints and costs, and how Pathway is trying to build models that can think in a more abstract way. The conversation looks at how those architectural changes could affect hallucinations, interpretability, safety, and the enormous compute demands of modern AI. Stamirowska shares how her background in complex systems and game theory shaped Pathway’s approach, why the company made an early bet on challenging the transformer, and how the AI coding revolution has already radically changed the way her own team works. Topics covered: • Why transformers struggle with memory and continual learning • How Pathway’s Dragon Hatchling architecture works • How a different architecture could reduce compute costs • How interpretability could make advanced AI more predictable • Why Pathway’s engineers have largely stopped writing code themselves • How Stamirowska uses Codex, Claude Code, and other AI tools • Why leaders should be ruthless about identifying the critical path If you’re interested in what could come after today’s LLMs, and whether the next big leap in AI will require more than simply scaling transformers, this conversation offers a fascinating look at one of the teams betting on a fundamentally different path. 📺 Watch on YouTube: piped.video/fjB6sEPC4CE 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/5… 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

This is the kind of journalism you can expect from The Deep View. Senior Reporter @Sabrinaa_Ortiz spent weeks reporting on why Google AI Overviews reveal AI's biggest weakness. It's about how AI shapes what we know, trust, and believe. Must read. thedeepview.com/articles/why…

⚙️New episode: Caroline Ingeborn of @LumaLabsAI 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 workflows +The ethical lines of AI in creativity +Luma's mission towards generalized physical intelligence +Physical AI's potential impact on the labor market +The different approaches to building world models +The dangers of centralized power in physical AGI If 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. 📺 Watch on YouTube: piped.video/ISueKJW-uqg 🎧 Listen in your favorite podcast player: transistor.fm/shows/tdv/epis… 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

Paid partnership: 80% of marketers feel pressure to adopt AI. 6% have it fully embedded. The gap isn't the tools. It's the data you're feeding them. @Supermetrics 2026 Marketing Data Report breaks down what's actually blocking AI ROI in marketing. supermetrics.com/marketing-d…

⚙️ New episode: @EvanSpiegel of @Snap. The Snap CEO 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 @sabrinaa_ortiz interviewed Spiegel at Augmented World Expo immediately after the SPECS unveiling and he 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. 📺 Watch on YouTube: piped.video/watch?v=bGA81ojs… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/5… 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

⚙️ New episode alert: Dmitry Shevelenko of @perplexity_ai 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, editor-in-chief Jason Hiner sits down with Dmitry, 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. 📺 Watch on YouTube: piped.video/watch?v=khikY6Ks… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/5… 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

Thank you to @ApplePodcasts for featuring The Deep View's #WWDC26 episode with @sabrinaa_ortiz and @jasonhiner. 🔗 tdv.transistor.fm/episodes/4… This is great company to be in: @LaurieSegall @engadget @stephenrobles @MKBHD

At Apple Park, @jasonhiner and @sabrinaa_ortiz sat down for a special episode of The Deep View Conversations to break down Apple's biggest AI announcements at WWDC 2026 this week. After two years of delays, promises, and mounting pressure, Apple 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, Sabrina and Jason 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. 📺 Watch on YouTube: piped.video/5RSpgHTMIV8?si=ssUw… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… 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

Here's The Deep View's @sabrinaa_ortiz being interviewed about @Apple's Siri and AI announcements today: piped.video/watch?v=wRLXT2vx…

Sabrina Ortiz (@sabrinaa_ortiz) and @JasonHiner are on the ground at @Apple #WWDC26 covering the big #AI announcements for @theDeepView. Hit them up for a laptop sticker, if you're at Apple Park!

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 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. 📺 Watch on YouTube: piped.video/watch?v=V5miATnv… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… 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

⚙️ New episode: @IanSilber of @OpenAI In the latest episode of The Deep View Conversations podcast, senior reporter Nat Rubio-Licht (@natrubio__) sits down with Ian, who leads 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 @ChatGPTapp, 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. 📺 Watch on YouTube: piped.video/watch?v=lvnSK9Ik… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… Subscribe to The 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

⚙️ Special episode alert: Juston Payne, head of @Google AI glasses 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, Google's director of product management for XR, joins The Deep View Conversations straight from Google I/O, where the company pulled back the curtain and gave the world a first look at two of the pairs of glasses that will lead the collection when they launch in the fall: a pair from Gentle Monster and one from Warby Parker. Talking with The Deep View's Sabrina Ortiz, 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. 📺 Watch on YouTube: piped.video/watch?v=SY1CVlSZ… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… 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

⚙️ New podcast episode: Robert Brooks IV of Lambda In this episode of The Deep View Conversations, we talked with Brooks, Lambda's chief commercial officer, 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. 📺 Watch on YouTube: piped.video/watch?v=BvnQb0la… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… 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

⚙️ Special episode alert! Senior reporter Sabrina Ortiz (@sabrinaa_ortiz) sits down with Mindy Brooks, VP of Product for @Google @Android, in an exclusive interview on The Deep View Conversations. 📺 Watch on YouTube: piped.video/watch?v=0JcTQXos… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… Brooks explains why Google is focusing its AI strategy on Android around saving users small amounts of time across dozens of 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

⚙️ New episode of The Deep View Conversations: Dr. Olena Zhu of @Intel. 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, 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. 📺 Watch on YouTube: piped.video/watch?v=VwE7qOsl… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… 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

⚙️ New episode alert! 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. 📺 Watch on YouTube: piped.video/watch?v=j_vo4WCH… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/4… Subscribe to the podcast 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

The robots are doing backflips. They're fighting. They're organizing rooms and running marathons. And the more they show off, the higher the expectations climb. But here's the question nobody's really stopping to ask: why does AI need a body at all? Why two legs, two arms, a head? Why does it need to look like us? Nat Rubio-Licht (@natrubio__) did a deep dive inside the race to create humanoids to find out. The answer is more fascinating, and more unsettling, than you'd expect. 🔗 thedeepview.com/articles/the…

⚙️ New episode of The Deep View Conversations! We sat down with Dave Horton, VP of Solutions Engineering at Airia, to explore one of the biggest tensions in enterprise AI today: how to move fast without losing control. Airia is building a platform designed to plug AI into every corner of an organization while keeping data secure and systems governed. Dave breaks down why that balance is harder than it looks, and why many companies are underestimating the complexity of deploying AI agents at scale. We also dig into the surge of interest in agentic AI in 2026, including a contrarian perspective on OpenClaw and the idea that agents will quickly replace human work. Dave argues that the real challenge is not capability, but coordination, and that success comes down to three pillars: security, governance, and orchestration. Beyond the tech, Dave shares his journey building alongside the Airia founders, why funding is pouring into AI startups, and how the AI ecosystem is evolving across London, the UK, and Europe. He also reveals the AI tool that has most transformed the way he works. If you want a grounded, real-world view of where enterprise AI is headed, and what it will actually take to make it work, this conversation delivers. 📺 Watch on YouTube: piped.video/watch?v=xtZ4PCEj… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/3… Subscribe for more conversations at the frontier of AI.

⚙️ New episode alert! @Cisco's Jeetu Patel (@jpatel41) joins Sabrina Ortiz (@sabrinaa_ortiz) for a very candid conversation about the risks ready to be unleashed by the coming wave of AI agents. Don't miss this episode of The Deep View Conversations as we explore how the rise of agents is reshaping cybersecurity, software development, and enterprise strategy. Jeetu makes a bold prediction: today’s 150 million developers could expand to 3 billion agent builders within the next year. But that explosion comes with serious risk. As nation-states and bad actors deploy autonomous agents at scale, traditional, human-centered security models begin to break down. This conversation unpacks: + Why AI agents are becoming the new attack surface + What enterprises must do now to prepare for agent-driven threats + Jeetu’s journey from Box to Cisco, and what it taught him about leading through platform shifts + Practical advice for learning AI and building in an agent-first world But this isn't a doom-and-gloom conversation. Jeetu lays out a vision for how security can become an accelerator rather than a limiter, and why the distinction between giving agents access and giving them trusted, governed access will define which enterprises thrive in the agentic era. If AI agents are the next platform shift, cybersecurity may be the defining battleground. 📺 Watch on YouTube: piped.video/watch?v=mk0ulu_W… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/3… Watch the full conversation and subscribe for more interviews 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

Today, The Deep View's Nat Rubio-Licht (@natrubio__ ) facilitated a HumanX panel "Grounded intelligence is the next frontier" with Neo4j CEO Emil Eifrem and Contextual AI Interim CEO Jay Chen. This panel unpacked the critical issue of how to make LLMs more accurate and verifiable and tackle the biggest issue that holds them back in the enterprise: hallucinations.

What happens when a startup's mission perfectly aligns with the biggest trend in tech? That's exactly where Guild AI finds itself in 2026. James Everingham, CEO of Guild AI, joins The Deep View Conversations to talk about building a safety layer for AI agents. The product launched in fall 2025 and just months later found itself near the center of the most important movement in enterprise AI. In this conversation, James breaks down how Guild's platform deploys dozens of workflow-specific agents across different parts of a business, while giving developers the tools to iterate, spin up custom agents, and operate in a safe environment that tracks everything agents do and protects companies from unpredictable outcomes. Topics covered: + The enduring power of bottom-up innovation + How Guild AI's agent supervision platform works + Why safety infrastructure is the new competitive moat + Lessons from James' earlier career at Netscape and Meta + Open-source vs. proprietary models: how it plays out over the next few years + A standout leadership tip for sparking innovation on your team + His best advice for getting maximum impact from today's AI tools. If you want to understand where AI agents are headed and what it takes to build them responsibly, this conversation is a powerful place to start. 📺 Watch on YouTube: piped.video/watch?v=ANhHstor… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/3… 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

The Deep View's Sabrina Ortiz moderated a HumanX panel today on "Building Trustworthy Agentic AI" with Dataiku CEO Florian Douetteau and H CEO Gautier Cloix. This is going to be the most important topic of 2026 for organizations implementing AI.

HumanX day 1 has officially kicked off and our own Nat Rubio-Licht interviewed Caroline Ingborn, COO of Luma, about the impact of AI in the creative and marketing industries.

The most dangerous part of AI isn't what you think. OpenAI just raised more money in a single funding round than the GDP of over 120 countries, with the purpose of "scaling AI for everyone." But we've heard this before. Facebook promised to connect the world. Google promised to democratize information. Both became the most powerful advertising machines in history. AI companies are making far bigger promises with far more at stake. And with every funding round, every data center deal, every trillion-dollar valuation, power is concentrating in fewer and fewer hands. Even Anthropic's self-proclaimed "safe" lab is quietly loosening its own ethical guardrails to keep up. So before we accept the premise that this technology is too important to slow down, we should ask: who actually benefits? 🔗 Read the full article: thedeepview.com/articles/the…

⚙️ The Deep View Conversions: New episode alert! Senior reporter Nat Rubio-Licht talks with Baris Gultekin, vice president of AI at Snowflake, for a candid look at how the company is navigating the AI era and what it's learning in real time. Snowflake has been a stalwart of the SaaS economy and a leader in enterprise data for the past decade. But the company is deep in the middle of a transformation that most people haven't recognized yet. Gultekin talks openly about how the entire team inside Snowflake is now using AI coding tools to build skills and automate their work. That includes non-developers who are using Project SnowWork, an AI agent for professionals across all roles. Baris joined Snowflake in 2023 through the acquisition of blockchain startup nxyz and has spent the past three years building and running the AI teams inside the enterprise tech giant. He also brings a rare perspective from his time working on Google Assistant in the pre-LLM era, which gives him a unique lens on how much has changed. If you want to understand how a mature SaaS company reinvents itself inside an AI revolution, this one is worth your time. 📺 Watch on YouTube: piped.video/watch?v=7jkQkVNz… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/3…

We just published The Deep View's first long-form piece, and it asks a question that's been nagging at us for months. As AI companies announce hundred-billion-dollar data center deals and promise to deliver infinite abundance for humanity, who actually benefits when those promises come true? Our reporter Nat Rubio-Licht spent months digging into this tension, and she landed on a line we haven't been able to shake: There is no such thing as financially motivated altruism. Google, OpenAI, and Anthropic are all companies that have (or will soon have) shareholders, who will always be their top priority. Even if AI delivers every breakthrough it promises, every cure, every scientific leap, the credit and the value will flow back to the handful of companies that control the foundational models underneath it all. And if power accrues to only a few companies then it will limit the options for all humanity. That's not cynicism. It's just math. In this 10-minute conversation, Nat talks with editor-in-chief Jason Hiner about what sparked the story, why power concentration in AI is different from anything we've seen before in tech, and what can actually be done about it, from open-source to academia to a more diverse startup ecosystem. Watch the video, then read the full story. We want to know what you think. 🔗 Article: thedeepview.com/articles/the…

AI is often sold as a utopian story. Unlimited abundance. Endless productivity. A better future for everyone. But behind that narrative is a very different reality, one driven by power, control, and a race that few people fully understand. We went deep on this topic in our first long-form, written by Nat Rubio-Licht. We believe this is one of the most important AI stories published this year. Read it here: thedeepview.com/articles/the…

⚙️ New episode alert! We interviewed @HumanXCo CEO @StefanWeitz: tdv.transistor.fm/episodes/3… Stefan thinks AI should not just make companies faster. It should make every employee dramatically more capable. In this episode, our Editor-in-Chief @JasonHiner talked to Stefan about how he’s putting that idea into practice, starting with his own team. HumanX calls itself the most important AI conference of the year, but what makes it stand out is how intentionally it’s being built. Stefan and his team are rethinking the entire event experience for 2026, using AI to create a more personalized journey for every attendee, from curated sessions to smarter networking and discovery. Topics covered include: + Using vibe coding for rapid prototyping + Management principles for the AI era + Turning every worker into a 10x employee + The AI tool that’s blowing Stefan’s mind But this conversation goes beyond events. It’s really about leadership in the age of AI. Along the way, Stefan offers a clear view of what it takes to build an organization that can actually apply AI, not just talk about it. He also shares a leadership principle that has shaped his approach. If you’re thinking about how to scale impact across your team, or how to move from AI curiosity to real execution, this conversation delivers practical insights you can use right away. 📺 Watch on @YouTube: piped.video/watch?v=C7iwXHa7… 🎧 Listen in your favorite #podcast player: tdv.transistor.fm/episodes/3… Subscribe to the podcast for more conversations with the leaders, builders, and researchers 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

🎧 A new episode of The Deep View Conversations just dropped. Olivia Moore (@omooretweets) of Andreessen Horowitz (@a16z) talks to @JasonHiner about the hottest trends in consumer AI apps for 2026. 📺 piped.video/watch?v=ZjuHgyyr… 🎙️ tdv.transistor.fm/episodes/3…

We asked @TheDeepView audience (mostly professionals who work in AI or work on AI) about the @AnthropicAI question, and here's what they said.

🎙️ New episode: What happens when AI turns today's jobs into tomorrow's tasks? Editor-in-Chief @JasonHiner interviews @TigranSloyan, CEO of @CodeSignalCom about how we can use AI to fix job destruction, skills, and hiring. tdv.transistor.fm/episodes/3…

🚨What happens when perception itself becomes an attack surface? In the latest episode of @TheDeepView #podcast, Editor-in-Chief @JasonHiner talked with Wasim Khaled, CEO of @blackbird_ai, to explore a provocative idea: What happens when reality itself becomes hackable? Long before generative AI went mainstream, Wasim and his cofounder launched Blackbird to tackle disinformation and narrative manipulation. Their thesis was bold: that part of modern cybersecurity conflict had shifted from infrastructure to information, from networks to narratives. It turned out to be prescient. As AI supercharges the speed, scale, and realism of malicious content — from deepfakes to coordinated influence campaigns — Blackbird has emerged as the leader in combating narrative attacks. In fact, Gartner recently named Blackbird the company to beat in disinformation narrative intelligence in its report on the AI Vendor Race. In our conversation, we explore: + What “narrative attacks” really are and why they’re so hard to deflect + How AI has fundamentally changed the disinformation battlefield + Reactive vs. proactive defense strategies in cybersecurity + How Blackbird evolved from a lab experiment into a national security player + Why leaders relying on chatbots instead of AI agents are already falling behind Wasim also shares how he optimizes his time for maximum leverage, and offers his advice for founders navigating fast-moving technology shifts. If you care about cybersecurity, AI, information warfare, or the future of leadership in the age of intelligent agents, this is a conversation you'll want to hear. 📺 Watch on YouTube: piped.video/watch?v=65iyeVjh… 🎧 Listen in your favorite #podcast player: tdv.transistor.fm/episodes/3…

🎧 New episode of @TheDeepView #podcast features Shibani Ahuja of @Salesforce sharing insights on the company's transformation into an #agentic platform for the largest organizations in the world. tdv.transistor.fm/episodes/3…

🎧 New episode of @TheDeepView #podcast features a conversation with Matt Yanchyshyn of @awscloud on how #AI #agents have become the faster growing category in the history of the world's largest #cloud platform. tdv.transistor.fm/episodes/3…

🎙️ New episode live! How do you solve the ROI problem for AI inference, and make AI truly pay off in the enterprise? We break it down with @RobMay, founder & CEO of @NeuroMetricAI. Listen now 👇 YouTube: piped.video/watch?v=FS7vu6ef… Podcast: tdv.transistor.fm/episodes/1…

We are thrilled to welcome Sabrina Ortiz (@sabrinaa_ortiz) to The Deep View team. Sabrina has been covering the AI revolution with incredible energy and insight over the past three years.

Can AI agents handle complex enterprise data accurately, at scale, and without human intervention? @sema4ai thinks so. Their latest Enterprise AI Agent Platform introduces a new foundation for enterprise data and document automation. @sema4ai Co-founder and SVP of Product, @paulcodding, walks through the highlights. Watch the video and follow the thread below to see how it works and why it’s a big step for enterprise AI. 👇

Exploring the Cyber Frontier Prompt: Make a 45-second glimpse into a futuristic sci-fi world—think cyberpunk meets alien wilderness. Use fast-paced jump cuts to highlight advanced robotics and neon-lit landscapes. Include an epic soundtrack and only AI-generated visuals. Keep it immersive and bold.

Rise of the Phoenix: A Sci-Fi Movie Trailer Prompt: Create a 1-minute trailer for an upcoming sci-fi thriller called ‘Rise of the Phoenix.’ Set in a futuristic city with neon-lit skyscrapers and flying cars. Focus on suspense, intense background music, with no speech overlays. Include AI-generated footage only

Cosmic Abyss: Black Holes Prompt: One minute-long video about the awe-inspiring phenomenon of black holes. Show swirling celestial matter and dramatic space-time distortions. Use only AI-generated cosmic visuals. Include an ambient, slightly eerie soundtrack. Do not include Narration. Do not include background music but eerie sounds. Keep it visually stunning and educational.