Alle afleveringen
74 afleveringen, van nieuw naar oud
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How shadow AI is outgrowing enterprise control
28 oktober 2026 · 30 min
The AI agents helping employees work faster also open up new risks for a company's most sensitive data. So how do businesses keep up with the opportunities and the risks? Lees meer
In this episode of The Deep View Conversations, we sit down with Cristian Rodriguez, CrowdStrike's field CTO for the Americas. We talked to Rodriguez at CrowdStrike's Fal.Con 2026 event to explore what one of the world's largest cybersecurity companies is learning about how AI is rapidly changing the cybersecurity landscape.
Rodriguez explains why defenders need to respond at machine speed, what the OpenAI and Hugging Face incident reveals about goal-seeking agents, and why even useful AI tools need visibility, boundaries, and accountability. Rodriguez argues that data governance remains a central challenge: companies need to understand what their agents can access, where information moves and who is responsible for each action.
Topics covered:
• Helping healthcare, government and other understaffed organizations respond to faster attacks
• Whether automation and tool consolidation can strengthen security within existing budgets
• SafeMind, red and blue cybersecurity models, and the role of the AI harness
• Bring-your-own-model options and where CrowdStrike's models run
• Moving from reactive incident response toward proactive security with human oversight
• How Rodriguez uses Slackbot to organize his day and follow through on commitmentsIf you're leading an organization, putting agents to work, or trying to understand how AI changes the security and safety landscape, this conversation connects the new capabilities with the controls and judgment needed to manage them.
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://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 y…
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How to turn everyday frustrations into AI wins
25 oktober 2026 · 51 min
Your next big AI win may come from someone your leadership team would never think to pick. Lees meer
In this episode of The Deep View Conversations, we sit down with Todd Earwood, CEO of Betra Works and an AI investor at HalfCourt Ventures, to explore what it takes to deploy AI for useful work inside organizations.
Drawing on his work with 1,200 leaders and executives, Todd explains why the people closest to the work often see AI opportunities that executives miss. He shares how a university athletics sales rep used AI to uncover new ticket buyers, how a warehouse employee helped a manufacturer rethink a 22-year-old spreadsheet, and why a skeptical, experienced employee became an unexpected AI champion.
We also discuss Todd's book, Adapt & Adopt, and his approach to teaching people how to identify useful AI tasks, evaluate opportunities, and build momentum from individual wins to broader adoption.
Other topics covered:
• Three paths to putting AI to work in a business
• Why employee frustrations can reveal valuable AI opportunities
• The gap between personal AI use and workplace adoption
• What Todd learned from investing in more than 100 AI companies
• Building a tech career outside San Francisco and New York
• Why meeting recorders and voice dictation can make an immediate difference
• Using Claude to protect your calendar and prioritiesIf you're leading a team, trying to make AI useful in your own job, or deciding where to start, this conversation offers practical ways to connect AI's capabilities with the work people do every day.
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://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
TIMELINE
0:00 Introduct… -
6 timeless attributes for succeeding in the AI era
18 oktober 2026 · 40 min
AI is making it easier for employees to work beyond their specialties and that has big implications for the future organizations of all sizes. Lees meer
In this episode of The Deep View Conversations, we sit down with Bill Barton, chief operating officer at Rokt and the former leader of the Alexa team at Amazon. Rokt has gotten called out by some of the biggest tech companies in the world for its innovative use of AI inside the company.
In fact, several of them have had Rokt come and talk to their teams about how they do it. So we wanted to have Bill on the show to share those insights with a larger audience.
Barton shares how Rokt is using an internal AI fleet across software development, finance, legal, security and other functions. He explains how AI is helping blur the boundaries between roles, why the company has moved from more than a dozen job ladders to four, and what it takes to turn experimentation into everyday practice.
Other topics covered include:
• Why Bill returned to Rokt after trying retirement
• How AI is expanding the reach of generalists
• Enabling shared AI experimentation companywide
• Why fewer, more flexible systems can help teams move faster
• How Barton thinks about productivity gains and hiring
• What Google search reveals about frictionless AI
• Why more powerful tools can make it harder to step away from workBill also shares his six timeless attributes that can help anyone succeed in the AI era: relentlessness, resilience, rigorousness, inquisitiveness, optimism and humility.
For leaders rethinking their teams and professionals navigating changing roles, this conversation connects the possibilities of AI with the habits and judgment needed to make them useful.
Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: https://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, w…
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How open models change the economics of AI
9 oktober 2026 · 27 min
Companies want to own the intelligence that makes their business valuable. So what will that mean for the AI models they use, and the systems they build around them? Lees meer
In this episode of The Deep View Conversations, we sit down with Justin Boitano, VP of enterprise AI at Nvidia, to explore why NVIDIA is investing in open models and how enterprises are turning them into specialized intelligence.
Boitano talks about why NVIDIA makes Nemotron's datasets, training techniques and model weights openly available, how proprietary business knowledge can become a competitive advantage, and why lower token costs can unlock much greater demand for AI.
The conversation also examines why the agent harness that manages tools, memory and execution can matter as much as the model itself. Boitano shares how Nvidia worked with CrowdStrike on AI models for cybersecurity, why AI incidents need the equivalent of an aviation flight recorder, and how OpenShell moves agent controls into the infrastructure layer.
Other topics covered:
• Why NVIDIA is building open models alongside its chip business
• What Nemotron needs to compete with China's open models
• Owning institutional knowledge, protecting data and controlling AI costs
• How model development helps NVIDIA improve hardware efficiency
• Why harness engineering is becoming a new frontier for AI
• Moving cybersecurity from finding bugs to verifying and fixing them
• Transparency and learning from AI incidents
• OpenShell, sandboxing and enforceable limits on agent access
• How Justin uses Hermes as an AI chief of staff
• Jensen Huang's approach to priorities and team alignmentIf you're deciding how to build enterprise AI, where your company's competitive advantage comes from, or how to give agents useful access without giving them unlimited control, this conversation offers a perspective from Nvidia's work across the ecosystem.
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Who will police the AI agents?
4 oktober 2026 · 46 min
AI agents can act faster than humans can review them. So how do companies keep control without slowing everything down? Lees meer
In this episode of The Deep View Conversations, Jason Hiner sits down with Blake Brannon, chief innovation officer and a co-founder of OneTrust, to explore why AI governance needs to evolve from static rules to decisions made in real time.
Brannon explains why an agent can inherit an employee's identity and access without inheriting their trust. He makes the case for independent guardian agents that evaluate what other agents are trying to do, apply a company's policies, and redirect or block actions when necessary.
One example captures the challenge: deleting CRM records could be routine cleanup or an attempt to inflate a salesperson's performance. The action alone doesn't tell you whether it should be allowed. Its purpose matters.
Topics covered:
• How OneTrust evolved from data privacy to AI governance
• Why first-party data and customer trust go together
• Why human review can't keep pace with a growing population of agents
• How guardian agents and independent checks could help close the trust gap
• The difference between containing AI and aligning it with business policies
• Why governance should help companies move faster
• What the bring-your-own-device era teaches us about AI adoption
• How Blake uses visual storytelling and voice-to-text tools to work more effectivelyIf you're deploying AI agents and trying to move beyond experiments without giving up control, this conversation offers a practical way to think about the systems that need to surround them.
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: su…
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How AI changes cybersecurity's balance of power
30 september 2026 · 25 min
AI is accelerating cyberattacks. Could it also give defenders the upper hand? Lees meer
In this episode of The Deep View Conversations, we sat down with Adam Meyers, CrowdStrike's head of counter adversary operations, at Fal.Con 2026 to explore how AI is changing the balance of power between attackers and defenders.
Meyers explains why he believes security teams can now match the speed and scale of their adversaries, how CrowdStrike is training offensive and defensive AI models against each other, and why the harness that guides an AI model can matter just as much as the model itself. He shares how changing that harness helped CrowdStrike reduce false positives in its vulnerability research without changing the underlying model, and how cyberdefenders are uniting to assist one another.
The conversation also goes inside the live disruption of the Sality botnet, explores how nation-state attackers are using agents that learn from their mistakes in seconds, and examines why powerful AI systems need clear boundaries as they pursue their goals.
Topics covered:
• Why AI could change the defender's dilemma
• How CrowdStrike and its partners disrupted a botnet that had operated for more than two decades
• Training red team and blue team models based on Nvidia's Nemotron models and CrowdStrike's security data
• Why AI harnesses are critical to reducing hallucinations and false positives
• How AI attacks are compressing the time organizations have to patch vulnerabilities
• What the Hugging Face incident raises about goal-seeking agents and guardrails
• Why local, open-weight models matter to both attackers and defenders
If you're trying to understand what AI means for cybersecurity, how to put agents to work safely, or where specialized models can make a difference, this conversation offers a view from someone tracking the adversaries firsthand.Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transitor.…
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Why your phone still isn't the ultimate AI assistant
27 september 2026 · 29 min
Nearly every smartphone launched in the past year features agentic AI capabilities, offering users an early look at what a fully agentic smartphone future could do for them. Of course, the tech powering it is driven by the chipsets. Lees meer
In this episode of The Deep View Conversations, we talked with Vinesh Sukumar, Qualcomm's VP of AI at the Snapdragon Summit, the company's annual conference where it launches its latest processors. This year, the launch included the mobile platforms Snapdragon 8 Elite Extreme Gen 6 for phones and Snapdragon Sound Elite Gen 2 for wearables.
Vinesh discussed how the chipsets came to be, including the special considerations made during their design such as improving connectivity, on-device support for large models, longer battery life, and other features crucial to smoothly running agentic AI applications. We also discussed what the future of a truly agentic AI phone looks like and what's been holding it back.
Topics covered:
• What an ideal agentic smartphone experience would look like
• The demands agentic AI models make of mobile chipsets
• The obstacles to agentic solutions becoming a game changer
• The crawl, run, walk phases of agentic solutions, and where we are now
• The role of other smart devices in creating agentic experiences
• How support for a 30 billion MoE on-device model was made possible
• Qualcomm's role in working with partners to bring AI experiences to life
If you want to learn more about how the latest chipsets will change the future of Android flagship devices in the next year, including new AI experiences, this conversation will give you a clear idea.
📺 Watch on YouTube: https://youtu.be/YXvw9Gw41Xg
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AI safety needs more than good intentions
24 september 2026 · 55 min
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. Lees meer
In this episode of The Deep View Conversations, we sit down with Navina Singh, CEO of Credo AI, 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 workIf 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.
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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Who will be the adult in the room on AI?
20 september 2026 · 25 min
What does it take for companies to use agentic AI to transform the enterprise, without losing control of the technology? Lees meer
In this episode of The Deep View Conversations, we sit down with Shibani Ahuja, SVP of data and AI strategy at Salesforce, to discuss how one of the world's leading software companies is applying AI with practical use cases, matching governance to risk, and building toward larger transformations ahead.
Salesforce has surprisingly embraced a "headless" AI strategy that lets customers use any AI to access their Salesforce data safely and securely. That includes its own Slackbot, which sits inside one of the world's most widely used business messaging systems. In this interview, we learn more about why Salesforce wants to give customers optionality.
Shibani also lays out Salesforce’s four modes of enterprise AI, from everyday assistive tools to agents that can reshape end-to-end operations. We also discuss Koa, Salesforce’s new CRM reasoning model, why the model-plus-harness approach is so critical, and why adaptability may be the defining enterprise skill of the AI era.
Topics covered:
• Why organizations should start with practical, level-one AI use cases
• How Salesforce matches governance and ROI expectations to the risk of an AI deployment
• What Koa, Salesforce's AI model built on NVIDIA Nemotron, changes for enterprise AI
• Why operating models, process expertise, and professional services matter as much as the latest technology
• Shibani's case for AQ: the adaptability quotient for technology stacks and teamsIf you’re trying to make AI more efficient, safer, and more ROI-driven, this conversation offers a practical framework for how to build it, how to govern it, and where to start.
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 flo…
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Why iPhone Duo could change how we use AI
11 september 2026 · 45 min
Apple's first foldable iPhone makes the case that a bigger screen is better for nearly everything in the AI era. Its new Apple Watch features raise a harder question: how much of our conversations should AI remember? Lees meer
In this special episode of The Deep View Conversations, we record from Apple's campus in California following its September 2026 event to unpack the iPhone Duo, the new Audio Intelligence features in Apple Watch, and what Apple's latest devices mean for AI.
We share our first hands-on impressions of the Duo, explain why foldables are becoming more useful for AI agents and multitasking, and examine the price and hardware compromises that come with Apple's new form factor. We also debate Live Rewind and Siri Recap, two new Apple Watch features coming in beta later this year. We disagree on which feature we would feel more comfortable using, opening up a broader discussion about privacy, trust, and staying present.
The conversation also covers:
• How the iPhone Duo compares with foldables from Google and Samsung
• Why Apple's software experience is the Duo's biggest advantage
• Camera, battery, durability, and Touch ID tradeoffs
• Whether foldables will eventually become the default iPhone
• Siri AI, iOS 27, and Apple's approach to other smart features without AI washing
• The social questions surrounding AI-generated conversation summaries
• The iPhone 18 Pro's camera upgrades and Apple's computational photography
• Apple silicon, the A20 Pro, and the possibilities of running AI models locally on a phone
If you're following the future of AI in phones and wearables, this conversation connects Apple's announcements to the ways people will actually use them, along with the questions that still need answers.
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And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. …
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What OpenAI is building for a post-prompt future
6 september 2026 · 52 min
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. Lees meer
In this episode of The Deep View Conversations, we sit down with two members of OpenAI's ChatGPT Work team, Tara Seshan and Ty Geri, to dig into ChatGPT Work and 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.
Seshan and Geri 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 workIf 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.
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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 hyp…
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Cheap AI raises the cost of bad judgment
3 september 2026 · 43 min
AI makes software easier to create, but the harder and more valuable challenge is controlling what gets built, proving that it works, and managing it over time. Lees meer
In this episode of The Deep View Conversations, we sit down with Florian Douetteau, CEO and co-founder of Dataiku, to explore how large organizations can turn AI agents from impressive demos into safe, maintainable systems that deliver measurable business results.
Douetteau explains why enterprise AI models are becoming commoditized, why companies may buy 90% of their agents but build the 10% that differentiates their business, and why the emerging discipline of "agent management" will be essential. He also breaks down the dilemma facing CEOs: move too slowly and competitors may gain a structural cost advantage; move too quickly without control and one major AI failure could create a crisis.
Topics covered:
• Why the cost of creating with AI is falling toward zero
• Where value will accrue as models commoditize
• How to balance openness, innovation and enterprise control
• Why subject-matter experts must retain ownership of AI agents
• Why business problems, not perfect data, should drive data strategy
• How enterprises can prioritize transformative AI use cases without stifling experimentation
• The three qualities Dataiku now values most when hiring
• How leaders can use AI without falling into cognitive lazinessIf you’re trying to move enterprise AI beyond pilots, govern a growing portfolio of agents or understand where durable value will emerge as AI creation becomes cheaper, this conversation offers a practical framework for building quickly without losing control.
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 c…
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How openness became AMD’s AI strategy
30 augustus 2026 · 27 min
AI's appetite for compute keeps growing, but so does the pressure to deliver more intelligence per watt and per dollar. Can AMD's first rack-scale AI system open up an ecosystem dominated by Nvidia? Lees meer
In this episode of The Deep View Conversations, we sit down with Andrew Dieckmann, AMD's general manager of its data center GPU business, to unpack the company's Helios platform and the rapidly changing economics of AI infrastructure.
Dieckmann explains why frontier AI requires more than just GPUs. It demands tightly engineered racks that combine GPUs, CPUs, networking, software, cooling and serviceability. The conversation examines the tension around AI data centers: hyperscalers still cannot get enough compute, while communities worry about power, water and whether the benefits justify the buildout. Andrew argues that responsible deployment and open ecosystems are essential as these systems become intelligence factories.
The conversation then turns to Helios: AMD's performance claims against Nvidia Vera Rubin, pricing and value, the first likely customers, and the Cerebras partnership for high-throughput, low-latency inference. Andrew closes with his advice for leaders navigating AI velocity: reassess priorities more often and use coding agents as force multipliers for scarce engineering talent.
Topics covered:
• Why AMD is moving from chips to full rack-scale systems
• AI demand, data center constraints, and community impact
• Open hardware, open software and customer choice
• How agentic AI changed infrastructure planning
• Helios performance, efficiency, pricing and customers
• AMD Helios versus Nvidia Vera Rubin
• How AMD and Cerebras split inference workloadsThis conversation offers a clear look at the technology and economics shaping the infrastructure that will power everyday AI and the breakthroughs to come.
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And don…
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The economics pushing AI toward open models
28 augustus 2026 · 56 min
AI's next power shift isn't gonna happen in a data center. Lees meer
In this episode of The Deep View Conversations, we sat down with Jeff Morgan, co-founder and CEO of Ollama, to explore why open models are gaining momentum, and why enterprises and developers increasingly want more control over their AI.
Morgan explains how Ollama grew from a two-week experiment into software used across 80% of the Fortune 500, how the economics of coding agents are pushing teams toward open models, and why cost, privacy and control are becoming decisive advantages. He also breaks down the hardware shift bringing data-center-class AI workloads to Apple silicon, Nvidia DGX Spark and systems powered by AMD, Intel and Qualcomm.
The conversation also covers:
• How the team behind Docker Desktop came to build Ollama
• Why open models could soon process the majority of enterprise AI tokens
• The role of harnesses, tool calling, routing and subagents
• How Ollama fits into the open-source AI stack and where its business model comes in
• Why new US and European open-model labs are emerging
• Why companies may need to own and customize their intelligence layerIf you’re interested in open models, coding agents, enterprise AI or the shift from cloud-only AI to powerful local systems, this conversation offers a clear look at where the ecosystem is heading.
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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Are foldables the best AI phones now?
23 augustus 2026 · 1 uur 33 min
For almost a decade, foldable phones have been a product looking for a problem to solve. They may have found their lane. Lees meer
In a special episode of The Deep View Conversations, we make sense of Google's and Samsung's latest hardware and the AI announcements that came with them. But mostly, we talk about the new folding phones, the Pixel 11 Pro Fold and the Z Fold 8.
While folding and flip phones have existed for years, this summer both Google and Samsung upped the ante by launching new experiences that let AI enthusiasts make the most of the added screen real estate for AI workflows.
Topics covered include:
The new AI features available on the Pixel 11 phones
How Gemini contributes to the AI experience on mobile
Does Google still have the lead in AI hardware?
The minimal hardware improvements to the Pixel devices
The advantages of owning a foldable in the AI era
How Samsung's Galaxy Z Fold 8 series compares
The advantages of the Z Fold 8's "passport" form factor
How Apple's foldable, rumored to launch in September, will compete
If you're trying to understand how AI is changing what you can do with a smartphone, and what your next phone purchase should be if you prioritize AI, you won't want to miss this episode.
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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Let's talk about AI bubbles
17 augustus 2026 · 27 min
AI bubble talk is rearing its head again, but the context is very different from the conversations in late 2025. Lees meer
In this episode of The Deep View Conversations, we unpack the common arguments about an AI bubble and explain why reality naturally falls somewhere in between the doomsayers and AI absolutists.
We look at AI's "Tinker Bell problem": the boom depends partly on people continuing to believe in AI's potential, even as public skepticism grows. Beneath that belief cushion, enterprise contracts drive most of AI labs' revenue, while strong hyperscaler earnings and compute shortages suggest durable demand is building.
We debunk a viral claim that a $200 Claude subscription costs Anthropic $8,000 to serve. We also look at enterprises' push for more control, efficiency and measurable ROI, including one company's claim that some engineers' token use costs 1.5 times their compensation.
Other topics include:
• Training, inference, API pricing and token economics
• Real value, snake oil and the hype cycle
• Why AI demand outruns compute supply
• Why the AI bubble may look more like bubble wrap
• Market rotation into energy and materialsIf you're trying to separate durable AI demand from hype and understand where a real correction could begin, then this conversation offers a framework for thinking about what may pop, what may deflate and what may keep growing. Keep in mind that this is industry analysis and not investor advice.
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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Android's big leap is from apps to agents
14 augustus 2026 · 55 min
The smartphone has been built around apps and taps for nearly two decades. Google thinks AI will fundamentally change that. Lees meer
In this episode of The Deep View Conversations, we talked with Sameer 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 backIf 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.
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Why AI's next era may not belong to LLMs
10 augustus 2026 · 57 min
What comes after large language models? Lees meer
In this episode of The Deep View Conversations, we talked with Zuzanna Stamirowska, CEO 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 pathIf 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.
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Why AI’s next power shift starts on your desk
3 augustus 2026 · 23 min
What happens when powerful AI no longer has to live in the cloud? Lees meer
In this episode of The Deep View Conversations, we talked with Mark Papermaster, CTO of AMD, about why the next major shift in AI could happen on the device sitting on your desk.
Papermaster explains how computers could soon run sophisticated models and teams of private AI agents locally, offering greater speed, security and control without recurring token costs. He also makes the case that AI will be even more transformative than the smartphone because it will be embedded across nearly every device, industry and aspect of daily life.
The conversation also covers:
Why open ecosystems matter in the AI era
How AI is accelerating science, agriculture and industry
The growing energy demands of AI
How leaders can reinvent workflows with agents
Why local AI could reduce cloud dependence and vendor lock-in
Papermaster’s lessons from four decades in technology
If you’re interested in less lock-in, open ecosystems, and how enterprises can run AI more efficiently and privately, this conversation offers a look at what a more distributed and secure AI future could look like.
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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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Why modeling 'I don’t know' is AI's most urgent problem
27 juli 2026 · 28 min
AI systems almost always have an answer, even when they should say, “I don’t know.” Lees meer
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.
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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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Why sovereign AI is so urgent in the agentic era
12 juli 2026 · 41 min
Is it possible for enterprises to build AI agents they can actually trust? Lees meer
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 AI
Why AI agents raise new questions around governance and trust
How IBM Sovereign Core helps enterprises deploy AI workloads
Why compliance can slow AI projects from reaching production
What "sovereignty with receipts" means
How companies can balance speed, cost, compliance, and innovation
Why regulated industries need stronger AI governance from day one
If 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.
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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 ah…
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How to rethink AGI through multimodal systems
5 juli 2026 · 29 min
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. Lees meer
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.
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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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Can AI create a golden age of scientific discovery?
28 juni 2026 · 10 min
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. Lees meer
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.
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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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Why Snap chose a face computer over AI glasses
17 juni 2026 · 15 min
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. Lees meer
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.
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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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The 3 human skills that will endure in the AI era
14 juni 2026 · 58 min
Perplexity has become one of the most important AI companies in the world, but its ambitions now stretch far beyond AI-powered search. Lees meer
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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Apple fixed Siri, but that's not its biggest AI story
12 juni 2026 · 1 uur
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. Lees meer
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.
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And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, w…
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AI's real question isn't whether AGI arrives
7 juni 2026 · 44 min
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. Lees meer
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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How Google wants to turn prompts into companies
3 juni 2026 · 37 min
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. Lees meer
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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Why ChatGPT won't stay a chatbot forever
31 mei 2026 · 34 min
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. Lees meer
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…
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Google's new AI glasses: The inside story
25 mei 2026 · 29 min
This is a special episode of The Deep View Conversations podcast, recorded at Google I/O on Tuesday, May 19, 2026. Lees meer
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 w…
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How the compute crisis is defining the future of AI
24 mei 2026 · 37 min
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. Lees meer
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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Android's new AI trades flashiness for smarts
12 mei 2026 · 23 min
Android’s latest AI update is less about flashy demos and more about solving everyday problems. Lees meer
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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Why the future of AI is hybrid and not cloud
11 mei 2026 · 32 min
What happens when AI moves from cloud-only to running everywhere, including on your laptop, your phone, and other devices around you? Lees meer
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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Why process intelligence is the missing context for AI
4 mei 2026 · 46 min
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. Lees meer
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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The AI shift every brand needs to understand
27 april 2026 · 22 min
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. Lees meer
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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Why agent expectations are outrunning reality in 2026
19 april 2026 · 42 min
In this episode of Deep View Conversations, we sit 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. Lees meer
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, listen, 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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The AI agent boom and the coming cybersecurity crisis
16 april 2026 · 52 min
What happens when AI agents outnumber humans in the enterprise? Lees meer
In this episode of The Deep View Conversations, Senior Reporter Sabrina Ortiz sits down with Jeetu Patel, President and Chief Product Officer at Cisco, to explore how the rise of AI 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 worldBut 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 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
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The race to control AI agents begins
9 april 2026 · 49 min
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. Lees meer
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 found itself at the center of the most important movement in enterprise AI just months later.
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.
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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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Snowflake’s AI push counters SaaSpocalypse fears
30 maart 2026 · 32 min
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. Lees meer
In this episode of The Deep View Conversations, 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.
Gultekin talks openly about how the entire team inside Snowflake is now using 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.
Topics covered:
+ Why there is no AI strategy without a data strategy, and what enterprises keep getting wrong
+ How agentic AI has shifted enterprise data from question-answering to automation
+ The SaaSpocalypse and why Snowflake sees AI as a tailwind rather than a threat
+ Cortex Code (CoCo), Snowflake's coding agent that lets customers query their data in plain language instead of SQL
+ The governance and security challenges that come with multi-agent systems
+ How Baris uses coding agents in his own life
If you want to understand how a mature SaaS company reinvents itself inside an AI revolution, this one is worth your time.
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…
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The new playbook for building 10x employees
21 maart 2026 · 54 min
Stefan Weitz thinks AI should not just make companies faster. It should make every individual inside them dramatically more capable. Lees meer
In this episode of The Deep View: Conversations, the HumanX CEO explains 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.
In this episode, we talk about:
+ Building a new kind of conference in the AI era
+ 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 mindBut 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.
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
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The consumer AI apps breaking out in 2026
9 maart 2026 · 54 min
In this episode of The Deep View: Conversations, we talk with Olivia Moore, partner at Andreessen Horowitz (a16z), one of Silicon Valley’s flagship venture capital firms. At a16z, Olivia focuses on the rapidly evolving world of consumer AI apps. She tracks which tools are gaining traction, which ones are breaking out beyond early adopters, and which products are unlocking entirely new capabilities for everyday users. Lees meer
In this conversation, we explore the key trends shaping the next wave of AI apps, including the rise of personal AI agents, the growing importance of context and memory in AI systems, and the way new tools are changing how people build, create, and work.
We cover:
+ a16z’s Top 100 Gen AI Consumer Apps report and what it reveals
+ The rise of OpenClaw and personal AI agents in 2026
+ Olivia’s current AI stack and how she uses her favorite tools
+ Why context and memory could define the next stage of AI
+ Global trends shaping the AI app ecosystem
+ The acceleration of coding agentsFew people have their finger on the pulse of the AI app ecosystem like Olivia. If you want to understand which AI tools are gaining momentum and where the next breakthroughs may come from, this conversation offers a valuable window into the space.
There’s a great chance you’ll come away from this episode with at least one tool or idea that changes the way you work.
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 that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com
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Using AI to fix job destruction, skills, and hiring
1 maart 2026 · 53 min
In a labor market being rewired by AI, CodeSignal is betting that skills, not resumes, will decide who thrives. Lees meer
For this episode of The Deep View: Conversations, I talked with Tigran Sloyan, CEO and co-founder of CodeSignal, the company building a new standard for hiring and career mobility in the age of AI.
CodeSignal’s mission starts with a simple but painful truth: resumes and interviews are a flawed way to hire talent. Countless candidates have the skills to thrive in high-paying tech roles but never get a fair shot, while others with polished credentials sometimes land jobs they’re not prepared to do.
CodeSignal is flipping that equation with skills-based assessments that help employers discover candidates with real ability, and a free learning platform that helps candidates level up for the next opportunity.
In my conversation with Tigran, we talked about:
+ Why resumes haven’t meaningfully changed in 100 years, and why it's breaking hiring
+ How CodeSignal measures skills, and why simulation beats multiple-choice
+ What AI unlocks for assessing non-technical roles such as sales and support
+ The dark side of AI: what CodeSignal’s research shows about cheating attempts
+ Why entry-level jobs are turning into tasks, and what that means for training
+ How CodeSignal makes free learning content work economically
+ The future of re-skilling at scale, and why AI tutoring changes everything
We also dig into what’s changing fast right now: the rise of AI-assisted work, the surge in fraud in hiring assessments, and why foundational skills still matter even when AI can do the task.
Tigran shares his background from Armenia to MIT to Google, his most contrarian leadership advice, and the AI tool he'd recommend you start using every day. If you want to understand how AI is being used to fix the problems that AI is causing in the job market, this is the podcast for you.
Subscribe to The Deep View: Conversations podcast in your favorite podcast player for mo…
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How perception itself became an attack surface
22 februari 2026 · 45 min
In this episode of The Deep View Conversations, we talked with Wasim Khaled, CEO of Blackbird AI, to explore a provocative idea: What happens when reality itself becomes hackable? Lees meer
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 detect
+ 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.
Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.
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 that keep our audience ahead of the curve and help them put AI to work every day:…
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Lessons in AI adoption from meetings with 587 C-suite leaders
15 februari 2026 · 48 min
What does it actually take for enterprises to adopt AI at scale? Lees meer
In this episode of Deep View Conversations, we sit down with Shibani Ahuja, Senior Vice President of Enterprise IT Strategy at Salesforce. Over the past year, Shibani has met with 587 C-suite leaders to understand how Salesforce can evolve into an agentic AI platform for the world’s largest organizations.
We unpack what she’s learned from those conversations, including the real blockers to AI adoption, how leading enterprises are progressing, and why shared context and trust matter more than raw model capabilities.
Shibani also breaks down Salesforce’s Agentic Maturity Model, a framework designed to help organizations assess their current AI readiness and chart a path forward.
We also explore:
+ How AI is reshaping the banking and financial services industry, where Shibani spent a good part of her career
+ The story of how Shibani joined Salesforce after challenging Marc Benioff and his leadership team as a customer
+ Why clear, jargon-free communication is one of the most underrated skills in AI, and how to do it well in high-stakes settingsShibani is one of the most cogent communicators in tech today, and this conversation is packed with practical insights for anyone leading, building, or communicating about AI inside an organization or in public settings.
Subscribe to The Deep View: Conversations podcast in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe on YouTube.
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 that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com
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AI agents are moving faster than you thought
6 februari 2026 · 1 uur 2 min
AI agents in business aren't something that will happen in the future. They’re already here, and they're scaling a lot more rapidly than we expected. Lees meer
In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner talks to Matt Yanchyshyn, who leads AWS Marketplace at Amazon Web Services. Yanchyshyn's team helps organizations discover, buy, and deploy software on AWS, and one of the biggest shifts they’ve seen over the past six months is the explosion of AI agents in real-world use cases.
When AWS unveiled its agent marketplace in mid-2025, the internal goal was initially to launch with 50 agents. By early 2026, that number had surged past 2,600 agents, making it the fastest-growing category in the history of the world’s largest cloud platform.
So what’s driving that surge? Yanchyshyn breaks it down.
In this conversation, we cover:
+ Which types of AI agents are seeing the fastest enterprise adoption
+ The industries and use cases leading the charge
+ How companies are handling data security and sovereignty concerns
+ The role of multi-model orchestration in agent effectiveness
+ How AWS is using agents internally to drive lots of different winsIf you're trying to understand where AI agents are actually being deployed — not the hype, but the reality — then this conversation will reset your expectations. It will help you see where agentic AI is already delivering business value, and where it’s heading next.
Subscribe to The Deep View: Conversations in your favorite podcast player for more unique conversations with the brightest minds solving the biggest challenges in AI. You can also subscribe here on YouTube.
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 that keep our audience ahead of the curve and help them put AI to work every day: subscribe.thedeepview.com
Thank you to our sponsor, Deel, an AI-native platform for HR,…
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How AI could reshape human memory and attention
30 januari 2026 · 1 uur 42 min
AI could change the way we remember, and the way we pay attention. Lees meer
In this episode of The Deep View: Conversations, Editor-in-Chief Jason Hiner sits down with Bobak Tavangar, CEO of Brilliant Labs, one of the most intriguing startups in AI hardware today.
While trillion-dollar giants like Meta and Google race to define the future of AI glasses, Brilliant Labs is taking a radically different path: building in public, going open-source with both software and hardware, and centering their next product, the Halo glasses, around something deeply human.
The focus? A conversational AI agent for your long-term memories and conversations.
This isn’t just about smarter wearables. It’s about a bigger idea:
+ Can AI help us be more present, not less?
+ Could technology support memory, reflection, and intention instead of distraction?
+ What does privacy look like when AI can recall your life?Jason and Bobak also explore:
+ What he learned during his time at Apple
+ Why AI hardware is one of the hardest frontiers in tech
+ The challenging process of finding a co-founder
+ Bobak’s philosophy on communicating on social media with purpose, not hypeBobak is one of the most thoughtful founders in the AI space, consistently elevating the conversation beyond features and into questions of values, agency, and human experience.
If you care about where AI, wearables, memory, and attention intersect, this is a conversation you don’t want to miss.
Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI.
And don't miss 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 that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/
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How to solve the ROI problem for AI inference
22 januari 2026 · 1 uur 8 min
How do you make AI inference affordable enough to deliver real ROI in the enterprise? Lees meer
In this episode of The Deep View Conversations, we talk with Rob May, founder and CEO of Neurometric AI, to break down one of the most urgent challenges in AI today: the soaring cost of inference, and how to bring it down without sacrificing performance.
Today's AI is increasingly powerful, but it’s also expensive. For enterprises to see real returns, inference costs have to drop dramatically. Neurometric believes the answer lies in "thinking algorithms" paired with small, specialized models and workload-specific optimization. This approach can significantly reduce costs while often improving accuracy and efficiency. Rob walks through how this works in practice and why it matters as AI moves from experimentation to scaled deployment.
We also talk about:
+ Why the current AI boom pulled Rob back into operating a startup after multiple exits and a move into investing
+ How founders should think about AI infrastructure, efficiency, and long-term economics
+ What startup leaders can do to get journalists to pay attention — and a pivotal early-career conversation that led to coverage which changed the trajectory of one of Rob’s companiesIf you’re building, deploying, or investing in AI and wrestling with the economics of inference, this conversation offers a clear, practical perspective on what comes next.
Thank you to our sponsor, Deel, an AI-native platform for HR, IT, and payroll. Hire, manage, pay, and equip anyone, anywhere. https://www.deel.com/deepview
Subscribe to the podcast for more unique conversations with the brightest minds solving the biggest challenges in AI.
And don't miss 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 that keep our audience ahead of the curve and help them put AI to work every day: https://subscribe.thedeepview.com/
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#27: How AI Is Changing the Way Engineers Review Code - Merrill Lutsky
6 oktober 2025 · 53 min
In this episode of The Deep View Conversations, we sit down with Merrill Lutsky, cofounder and CEO of Graphite — a company using artificial intelligence to transform how engineers write, review, and ship code. Lees meer
What started as an internal tool to streamline software deployment has grown into something larger: a vision for how AI can augment, not replace, the craft of engineering — and reshape how teams collaborate at scale.
Merrill walks us through Graphite’s early pivots, the development of its AI reviewer Diamond, and how the company is rethinking the bottleneck that stands between building and shipping code.
We also go beyond the product to explore deeper questions:
Will coding become fully automated?
How do we balance speed and safety in an era of AI-written software?
And what does craftsmanship mean when machines start to create? -
#26: How AI Accelerates Drug Development - Patrick Leung
10 juli 2025 · 57 min
In this episode of The Deep View Conversations, we sit down with Patrick Leung, CTO of Faro Health — a startup using artificial intelligence to streamline and reimagine clinical trials. What began as a push to speed up drug development turned into something bigger: a mission to reduce suffering, elevate consciousness, and reshape how we think about AI’s role in health and society. Lees meer
Patrick walks us through the challenges of clinical trial design, the limits of large language models, and how thoughtful AI implementation could unlock faster, safer, and more inclusive access to medicine.
We also go beyond tech to explore deep questions: Is AI truly intelligent? How do we balance speed and safety? And are we building tools — or something closer to gods?
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#25: AI, Voice, and the Shifting Human Experience - Russ d'Sa
3 juli 2025 · 1 uur 6 min
In this episode of The Deep View Conversations, we sit down with Russ d'Sa, founder and CEO of LiveKit — the open-source infrastructure powering voice mode for OpenAI, Character.AI, and a fast-emerging voice-first internet. Lees meer
Russ walks us through how a pandemic side project evolved into the nervous system for the next generation of AI-powered voice applications. But this episode goes far beyond infrastructure. We dive into big, human questions: What does it mean to interact naturally with AI? Are we moving back toward voice as the dominant interface? How will AI reshape work, leisure, and even our sense of identity?
From the democratization of high-tech tools to the societal shifts driven by intelligent systems, this is a wide-ranging and deeply thoughtful conversation on what comes next in the age of synthetic intelligence.