AI could change the way we remember, and the way we pay attention. 

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 hype 

Bobak 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/ 

How do you make AI inference affordable enough to deliver real ROI in the enterprise? 

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 companies 

If 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/ 

I sat down with Brad Zamft, the co-founder and CEO of Heritable Agriculture, to take a deep dive into all the science (both biology and computer science) behind the effort to program plants, why it’s needed and what impacts it might have. 

Episode links: 

• Heritable Agriculture: https://heritable.ag/
• Heritable goes after indoor strawberries: https://heritable.ag/heritable-strawberries 
• The sustainability threat of farming: https://vlsci.com/blog/top-issues-in-agriculture-2024/ ; https://www.epa.gov/climateimpacts/climate-change-impacts-agriculture-and-food-supply
• The risks of monoculture and monocropping: https://foodrevolution.org/blog/monocropping-monoculture/
• The promise of regenerative agriculture: https://theclimatecenter.org/our-work/research/report-the-promise-of-regenerative-agriculture/
• Farming resiliency in the face of climate change: https://sustainability.mit.edu/article/making-agriculture-more-resilient-climate-change

Outline

0:00 – Intro

2:18 – Brad’s journey to Heritable Agriculture

9:29 – Why we need programmable plants

14:23 – Challenges of biology

19:38 – Validating the models

22:14 – How does this all physically work? 

31:05 – The challenge of adjusting 2 billion years of evolutionary success

34:48 – The risks of AI cracking plant DNA

39:50 – Regenerative Agriculture and tuning for resiliency in the face of climate change

47:53 – How farmers view the approach

51:59 – Tree adjustments

56:28 – The future outlook

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Nada Sanders, a distinguished professor of supply chain management at Northeastern University, to better understand the impact that tariffs and a trade war could have on the business and field of AI. 

Episode Links: 

• The semiconductor pipeline: https://datacenterpost.com/ais-hardware-hunger-the-global-semiconductor-supply-chain-under-pressure/
• The latest on the tariffs and trade war: https://www.bbc.com/news/articles/c62z54gwd22o
• Nvidia’s US push: https://www.thedeepview.co/p/nvidia-to-produce-500-billion-worth-of-supercomputers-in-the-u-s-for-the-first-time
• Apple’s US push: https://www.apple.com/newsroom/2025/02/apple-will-spend-more-than-500-billion-usd-in-the-us-over-the-next-four-years/

Outline: 
0:00 – Intro 
4:09 – The vulnerability of the AI supply chain
19:13 – Is it realistic to bring production back to the US? 
27:31 – Innovation could plateau 
34:04 – The challenge of navigating uncertainty, even if the tariffs come off

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Eric Sydell, the founder and CEO of Vero AI, to break down the challenges of oversight, governance and compliance — and the techno-utopia on the horizon — and the ways in which AI can help, hurt, and generally, disrupt everything. 

Episode links: 

• Ethan Molick: https://www.linkedin.com/posts/emollick_if-ai-development-stopped-this-week-we-would-activity-7272747981752176640-nTKX/
• What even is AI: https://www.ibm.com/think/topics/artificial-intelligence
• Sam Altman says we must regulate AI: https://www.thedeepview.co/p/paris-ai-summit-the-smoke-and-mirrors-of-governance
• EU AI Act: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence
• Challenge of AI regulation: https://www.thedeepview.co/p/report-the-misguided-race-to-regulation
• Nurses and AI: https://www.thedeepview.co/p/current-harms-and-the-real-world-impacts-of-algorithmic-decision-making
• Preslav Nakov fact-checking LLMs: https://aclanthology.org/2024.findings-acl.558/

Outline

0:00 – Intro

2:28 – AI for compliance
4:43 – Overcoming reliability problems

10:16 – Toys VS tools
15:54 – Keeping up with the rate of ‘progress’

22:03 – The challenge of regulation: 

28:55 – Balancing AI with the bottom line

34:38 – The problem with ‘Abundance’

43:11 – How to get the good without all the bad

51:17 – Running to and running from technology

55:02 – Looking for optimism

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Stefan Leichenauer, SandboxAQ's VP of Engineering, to break down the ways in which he’s bringing the two technologies together. 

Check out our breakdown of quantum computing: https://youtu.be/-umrjwGFTRw

Episode links: 

• Quantum sensing: https://www.baesystems.com/en-us/definition/what-is-quantum-sensing
• Sandbox LQMs: https://www.sandboxaq.com/
• Quantum computers: https://www.ibm.com/think/topics/quantum-computing
• Sandbox drug discovery: https://www.sandboxaq.com/solutions/aqbiosim
• Sandbox materials generation: https://www.sandboxaq.com/post/building-better-batteries-with-lqms

Outline

0:00 – Intro

1:36 – How does Sandbox leverage Quantum?

4:35 – What makes a sensor a Quantum sensor? 
8:00 – What would a Quantum computer need to do to be ready for use? 

11:30 – What reliable Quantum computers mean for Sandbox and AI 
15:18 – Sandbox’s Large Quantitative Models 

27:52 – Specialist systems VS generalist systems
35:41 – Black Boxes and LQMS 

37:45 – LQMs and hallucination
41:50 – LQMs and drug discovery
50:00 – The cost associated with LQMs

53:37 – LQMs and materials generation
56:55 – Future outlook  

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

At HumanX, I sat down with Dr. David Cox — the VP for AI models at IBM Research and the IBM Director of the MIT-IBM Watson AI Lab — to dissect those complex, nuanced differences between biological brains and the artificial neural networks behind LLMs, and how it all relates to the pursuit of AGI. 

Episode links: 

• Neural networks: https://www.ibm.com/think/topics/neural-networks
• Convolutional neural networks: https://www.geeksforgeeks.org/introduction-convolution-neural-network/
• Everything we know about the human brain: https://ny.pbslearningmedia.org/resource/stn15.sci.neuro.colbrain/what-we-still-dont-know-about-the-brain/
• MIT Flywire diagram: https://www.nature.com/immersive/d42859-024-00053-4/index.html
• Language and thought are not the same thing:https://mcgovern.mit.edu/2019/05/02/ask-the-brain-can-we-think-without-language/
• Decoding internal monologues: https://pmc.ncbi.nlm.nih.gov/articles/PMC7252628/
• Anthropic’s anthropomorphization: https://www.thedeepview.co/p/the-public-health-crisis-of-ai
• AGI and existential risk: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk#4

Outline

0:00 — Intro

2:07 — What is intelligence? 
4:36 — How AI boosts our understanding of the brain
8:09 — The differences between neurons and artificial neurons
12:13 — How much do we know — and not know — about biological brains
15:49 — LLMs and the illusion of intelligence
20:07 — Language vs Thought

23:37 — Should we train models not to use the first person? 
28:04 — The pursuit of AGI 

34:26 — IBM’s model approach
35:49 — AGI is a distraction
40:02 — How big a deal is AI? 
45:26 — The risk of the AI brain drain

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Igor Jablokov, the founder and chairman of Pryon, to talk about the ways in which the field of AI has grown and changed, and where it might go from here. Igor worked as a program director at IBM, developing an early iteration of IBM Watson, before he struck out on his own. His first startup, Yap, was later acquired by Amazon, where it evolved into Alexa. 

Episode Links: 

• Self-driving progress: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancements
• Reuters copyright lawsuit: https://www.thedeepview.co/p/study-most-people-can-t-identify-deepfakes
• Musk v Altman: https://www.entrepreneur.com/business-news/musk-v-altman-billionaires-attorneys-face-off-in-court/486647
• Chatbots, mental health and Character AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbing
• The AI bubble: https://www.thedeepview.co/p/what-the-trade-war-might-mean-for-ai
• The power struggle of AGI: https://www.thedeepview.co/p/how-big-tech-is-using-the-ai-race-and-the-specter-of-agi-to-cement-its-power-agi-openai-google
• AI in the enterprise: https://www.thedeepview.co/p/humanx-ai-s-inflection-point-conference-artifcial-intelligence

Outline: 

0:00 – Intro
2:15 – How the AI field has changed 
7:43 – The five taboos Silicon Valley broke
12:11 – The ‘adulting’ of AI 
15:27 – How big of a deal might AI be?
17:52 – The hyperscalers won’t get to AGI
21:42 – Digital god and ‘synthetic slaves’
25:19 – X-Risk and the safety debate
32:53 – Brute-forcing intelligence
37:59 – Cracking AI in the enterprise
44:50 – The bubble
48:15 – AI is an orchestra

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Shaolei Ren, an associate professor of Electrical and Computer Engineering at the University of California, Riverside, to break down his recent research into the water consumption, electricity consumption and public health impact of the data centers being used to power generative AI. 

Episode Links: 

• The water consumption of GenAI: https://arxiv.org/pdf/2304.03271
• The public health crisis of GenAI: https://arxiv.org/pdf/2412.06288
• Water consumption VS water use: https://www.wri.org/insights/whats-difference-between-water-use-and-water-consumption
• Pepsi Co’s water consumption: https://www.pepsico.com/our-impact/esg-topics-a-z/water#approach
• Google and Microsoft’s water consumption: https://www.thedeepview.co/p/google-emissions-are-spiking-due-to-increased-energy-demands-of-ai
• Elon Musk’s Memphis data center: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence

Outline: 

0:00 – Intro
1:27 – The water consumption of AI
7:30 – The difference between water ‘consumption’ and water ‘use’
16:15 – The impact of reasoning models 
18:03 – A solution to AI’s water problem
19:58 – The public health cost of AI 
27:55 – Addressing the problem
33:52 – The dichotomy of the AI industry
42:37 – A cost-benefit analysis
48:49 – Looking ahead

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Chris Bishop, a Microsoft technical fellow and the director of Microsoft Research AI for Science, to sink into the details of what AI is actually unlocking for science, and what kind of AI is doing it. 

Episode Links: 

• 5th paradigm of scientific discovery: https://cacm.acm.org/opinion/the-5th-paradigm-ai-driven-scientific-discovery/
• Microsoft Aurora: https://www.microsoft.com/en-us/research/blog/introducing-aurora-the-first-large-scale-foundation-model-of-the-atmosphere/
• The environmental cost of AI: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence
• MatterGen: https://www.thedeepview.co/p/report-ai-is-everywhere-already-even-if-we-don-t-know-it
• The dubious nature of AGI: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
  
  

Outline:

0:00 – Intro
2:13 – The importance of domain expertise in AI 
5:17 – The promise of AI for science
12:47 – Project Aurora and climate modeling 
15:27 – The cost-benefit analysis of AI 
18:43 – Weather prediction models VS ChatGPT
21:36 – AI to shield against engineering disasters
24:36 – How does Microsoft decide which applications to pursue
27:32 – Microsoft Research’s main areas of focus
33:24 – MatterGen and material generation
39:24 – How the wet lab is changing
42:19 – Is AGI a worthwhile pursuit for scientific advancement? 
 47:43 – Technological optimism and the way forward

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Liran Hason, the VP of AI at Coralogix, to talk AI guardrails: what they look like, how they work and why we need them. 

Episode links: 

• AI has been around for decades: https://www.weforum.org/stories/2024/10/history-of-ai-artificial-intelligence/
• Deterministic VS probabilistic AI: https://towardsdatascience.com/deterministic-vs-probabilistic-deep-learning-5325769dc758/
• AI in the enterprise: https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
• Air Canada lawsuit: https://www.forbes.com/sites/marisagarcia/2024/02/19/what-air-canada-lost-in-remarkable-lying-ai-chatbot-case/
• Character AI sued: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his
• AI trade runs out of steam: https://www.thedeepview.co/p/nvidia-beats-expectations-but-wall-street-wanted-more

Outline

0:00 – Intro

1:57 – AI guardrails … in 2019 
4:51 – How consumers view guardrails in AI 

11:03 – Tempered excitement in the enterprise

13:05 – Why do we need guardrails

17:59 – The role of regulation

24:07 – Why don’t developers guardrail their systems? 

28:30 – Detecting hallucinations with guardrail models

34:11 – Guardrailing AGI 

41:33 – Is the AI revolution slowing? 

44:18 – How guardrails enable a positive outcome

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

I sat down with Dr. Ruchir Puri, the chief scientist of IBM Research, for a wide-ranging discussion on the state of AI today. We talk about everything from AGI and X-risk to reliability in language models, the viability of agents and the pending economic impact of the technology. 

Episode Links: 

• Artificial general intelligence: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
• Microsoft and OpenAI’s AGI definition: https://www.theinformation.com/articles/microsoft-and-openais-secret-agi-definition?rc=sbfmgm
• AI agents: https://www.thedeepview.co/p/prog-predictions-series-draft-ef9c081b34af8540
• AI and job loss: https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Technological revolution: https://www.thedeepview.co/p/south-korea-stakes-a-claim-in-the-ai-race
• The Free Press article mentioned at 38:29: https://www.thefp.com/p/freddie-de-boer-is-ai-the-greatest-invention-or-overhyped

Outline: 

0:00 – Intro 
3:16 – The pace of improvement
8:56 – Unraveling ‘AGI’
14:47 – The inflection point of AI agents
21:54 – Thinking about reliability
26:14 – The economic implications of AI 
32:37 – Is AI like the Industrial Revolution? 
38:29 – How useful is AI, actually? 
43:57 – Existential risk 

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

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.

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?

I sat down with Dor Skuler, the founder and CEO of Intuition Robotics, to talk about the advent of digital companionship. 

Episode Links: 

• Intuition robotics: https://www.intuitionrobotics.com/
• The loneliness epidemic: https://www.gse.harvard.edu/ideas/usable-knowledge/24/10/what-causing-our-epidemic-loneliness-and-how-can-we-fix-it
• Social determinants of health: https://www.cdc.gov/public-health-gateway/php/about/social-determinants-of-health.html
• Fine-tuning AI models: https://www.ibm.com/think/topics/fine-tuning
• Cybersecurity and AI: https://www.gartner.com/en/cybersecurity/topics/cybersecurity-and-ai
• Character AI and anthropomorphization: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-his

Outline: 

0:00 — Intro

3:05 — Why Dor started Intuition Robotics

7:22 — The importance of a targeted demographic
11:00 — Solving for loneliness

15:30 — How ElliQ works, technically

28:35 — ElliQ and data privacy

35:11 — The ethics of artificial companionship 

40:22 — Humanity and AI companionship

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

We sat down with Irina Raicu, the director of the Internet Ethics Program at the Markkula Center for Applied Ethics at Santa Clara University. And today, we’re breaking down the ethics of artificial intelligence, those moral, philosophical challenges that are already resulting from the deployment of generative AI technologies. 

Episode Links: 

• AI is using social media data: https://www.cnn.com/2024/09/23/tech/social-media-ai-data-opt-out/index.html
• Musical.ly’s FTC fine: https://apnews.com/article/lifestyle-technology-business-data-privacy-parenting-eafed6bfd7d241549e097e38e8088873
• X trains AI on your tweets: https://www.cnet.com/tech/services-and-software/x-is-using-your-tweets-to-train-its-ai-heres-how-to-disable-that/
• ChatGPT’s impact on the labor market: https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Human creativity persists in the era of generative AI: https://www.thestreet.com/technology/human-creativity-persists-era-of-generative-artificial-intelligence
• Character AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbing
• The AI mirror: https://ssir.org/books/reviews/entry/the-ai-mirror-shannon-vallor
• Digital necromancy: https://www.thedeepview.co/p/elevenlabs-latest-release-highlights-the-issue-of-digital-necromancy
• Hello Barbie: https://www.scu.edu/ethics/internet-ethics-blog/speaking-ill-of-the-discontinued/
• Dickens on Big Data: https://www.vox.com/2014/5/1/11626330/for-these-times-dickens-on-big-data
• The public health crisis of AI: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligence
• AI and sustainability: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executives
  
  

Outline: 

0:00 – Intro
1:52 – Irina’s journey into ethics
4:42 – The link between social media and AI 
9:57 – Why should people care about data privacy
15:27 – The impact of automation on society
20:00 – What happens to the generation who grows up with AI? 
26:24 – What AI might mean for loneliness? 
32:06 – Grief and digital immortality
39:06 – The issue of anthropomorphization 
44:19 – The lifecycle of data
47:34 – We track everything, all the time
53:47 – Is AI anti-human? 
59:03 – Skepticism in AI 
1:00 – Tech solutionism & its impacts
1:12 – Regulation and twisted incentives

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

We sat down with Dr. Jerry Chow, an IBM fellow and the Director of IBM’s Quantum Infrastructure. And today, we’re breaking down what quantum computing is, why it’s important, how it fits into the growing realm of artificial intelligence and what about quantum is real (and what’s just plain hype).  

Episode Links: 

• IBM’s Quantum Roadmap: https://www.flickr.com/photos/ibm_research_zurich/53347055153/
• Quantum-centric supercomputing: https://www.ibm.com/think/topics/quantum-centric-supercomputing
• IBM launches advanced quantum computers: https://newsroom.ibm.com/2024-11-13-ibm-launches-its-most-advanced-quantum-computers,-fueling-new-scientific-value-and-progress-towards-quantum-advantage
• IBM’s quantum in use: https://www.ibm.com/quantum/case-studies/modeling-realistic-chemistry
• Responsible quantum: https://www.ibm.com/quantum/blog/responsible-quantum
• AI’s sustainability problems: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executives
• The ethics of AI: https://www.thestreet.com/technology/the-ethics-of-artificial-intelligence-responsible-ai
• How a quantum computer could break encryption: https://www.technologyreview.com/2019/05/30/65724/how-a-quantum-computer-could-break-2048-bit-rsa-encryption-in-8-hours/
• Google’s breakthrough: https://blog.google/technology/research/google-willow-quantum-chip/

Outline: 

0:00 – Intro

1:00 – Jerry’s personal journey into quantum 

2:37 – What exactly is quantum computing? 

10:44 – How do you measure efficacy in quantum computers? 

13:30 – Problems that are good for quantum

16:30 – Quantum and AI 

20:00 – The energy intensity of quantum 

23:40 – The ethics of more powerful computation 

25:30 – Quantum could break encryptions

27:46 – Quantum’s inherent limitations

30:23 – All the hype

36:40 – Google’s breakthrough and ‘parallel’ universes

40:00 – What you need to understand 

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

We sat down with Dr. Nada Sanders, an expert in forecasting and human-technology interaction and the author of The Humachine, a book that explores a coming future of AI-enabled connection between men and machine. And today, we’re breaking down the pandemic-fueled rise of AI, and the many levers that will impact our ever-more digital future. 

Episode Links: 

• The Humachine – https://nadasanders.com/books/the-humachine/
• How the pandemic impacted global supply chains – https://www.ey.com/en_us/insights/supply-chain/how-covid-19-impacted-supply-chains-and-what-comes-next
• Kasparov’s law – https://courtofthegrandchildren.com/kasparovs-law/
• Corporate AI adoption – https://www.thedeepview.co/p/business-spending-on-ai-jumps-500-to-13-8-billion-on-200-billion-in-capex
• AI-related job loss – https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-st
• Microsoft and IBM AI reskilling – https://newsroom.ibm.com/2024-04-04-Leading-Companies-Launch-Consortium-to-Address-AIs-Impact-on-the-Technology-Workforce
• AI hallucinations – https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk
• Neil Theise on complexity – https://www.columbia.edu/cu/tract/projects/complexity-theory.html
• Rise of AI regulation – https://www.thedeepview.co/p/progress-predictions-2025-oversight-governance-and-regulation
• Gary Marcus interview – https://youtu.be/-oTxLnmubVk​

Outline:

0:00 – Intro 
4:00 – The global pandemic and the rise of AI
13:16 – AI and skill atrophy
20:00 – People crave connection
27:20 – AI and mounting job loss
41:48 – Automating the future
52:43 – The human will to live
1:00:37 – Hallucination
1:05:49 – The regulatory landscape
1:15:52 – Staying positive

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

We sat down with Vijay Balasubramaniyan, the co-founder and CEO of cybersecurity firm Pindrop. And today, we’re breaking down audio deepfakes and deepfake detection; what levers are in place to indicate whether a piece of audio is real or synthetic, and how those levers technically work. 

Episode Links: 

• Pindrop – https://www.pindrop.com/
• The rise of deepfake fraud – https://www.forbes.com/sites/chriswestfall/2024/11/29/ai-deepfakes-of-elon-musk-on-the-rise-causing-billions-in-fraud-losses/
• Biden robocall – https://www.thestreet.com/technology/how-the-company-that-traced-fake-biden-robocall-identifies-a-synthetic-voice
• The deepfake threat – https://www.thestreet.com/technology/ai-cybersecurity-nonprofit-civai-deepfake-fraud-identity-theft-hijacking
• How LLMs work – https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/
• Closed vs. open AI – https://www.americanactionforum.org/insight/open-source-ai-the-debate-that-could-redefine-ai-innovation/
• Deepfake voice cloning – https://consumer.ftc.gov/consumer-alerts/2024/04/fighting-back-against-harmful-voice-cloning

Outline: 
0:00 – Intro 
4:27 – The origins of audio deepfakes
8:25 – The origins of Pindrop
12:45 – The cybersecurity risk of a remote-first world
28:33 – Open vs closed source
31:20 – How Pindrop’s audio deepfake detection works
37:18 – Staying ahead of the threat curve
40:59 – Scaling improvements 
43:24 – Building responsibility into the architecture
47:18 – The importance of AI regulation
52:22 – What can people do to protect themselves in this age of AI deepfakes? 

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

We sat down with Dr. Missy Cummings, who served as one of the U.S. Navy’s first female fighter pilots and now works as the director of George Mason University’s Autonomy and Robotics Center. Cummings, an engineer, has been studying autonomous systems for years – today, we break down the autonomy challenge in self-driving cars: how they work, their enormous limitations and a path to a feasible self-driving future. 

Episode Links: 

• Lidar breaks down in the rain: https://www.mdpi.com/1424-8220/24/10/2997?utm_source=www.thedeepview.co&utm_medium=referral&utm_campaign=openai-launches-o1-unveils-200-subscription-tier
• George Mason’s Autonomy and Robotics Center: https://marc.gmu.edu/
• Waymo’s self-driving statistics: https://www.thedeepview.co/p/the-complicated-statistics-behind-safe-self-driving-cars
• Waymo’s steady expansion: https://waymo.com/blog/2024/12/next-stop-miami/
• All the investigations into Tesla’s systems: https://www.cnbc.com/2024/12/09/tesla-accused-of-fraudulent-misrepresentation-of-autopilot-in-crash-.html
• A breakdown of why AI confabulates: https://mitsloanedtech.mit.edu/ai/basics/addressing-ai-hallucinations-and-bias/

Outline: 
1:39 – From airplanes to AVs
3:57 – What makes self-driving cars tick
9:00 – The risk of edge cases
12:49 – The hallucination problem
18:36 – How do we verify if a self-driving car is safe, in a safe way? 
24:02 – Waymo and the scaling of safety data
29:40 – The hardware behind self-driving
31:33 – Limitations of Lidar
37:57 – The misconceptions of self-driving cars
40:16 – A self-driving future

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

New Jersey's department of labor, in collaboration with USDR and Google.org, has assembled a set of training materials designed to turn off-the-shelf language models into bilingual unemployment insurance experts. We sat down with two of the people behind the launch to break it down.

For Episode 2 of The Deep View: Conversations, we flew to Abu Dhabi to sit down with President Eric Xing of the Mohamed bin Zayed University of Artificial Intelligence, the world’s first AI-only university. We talk about everything from his unconventional journey to MBZUAI, misconceptions about the technology, the reality of progress in the field and the idea that, like the printing press, AI might usher in a new age for humanity, the age of empowerment.

 
SPONSOR:
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Go to https://cloud.google.com/startup/apply?utm_source=cloud_sfdc&utm_medium=email&utm_campaign=FY21-Q1-global-demandgen-website-cs-startup_program_mc&utm_content=the-deep-view&utm_term=-

EPISODE LINKS:
MBZUAI appoints Eric Xing: https://mbzuai.ac.ae/study/faculty/professor-eric-xing/
Eric Xing addresses the class of 2024: https://mbzuai.ac.ae/news/presidents-address-to-the-class-of-2024/
The printing press and the age of enlightenment: https://www.history.com/news/printing-press-renaissance

OUTLINE:
00:47 Introduction to MBZUAI
02:49 The Unexpected Offer
05:19 Making the Decision
10:01 A New Cultural Moment
13:28 Starting at MBZUAI
14:35 The Age of AI Empowerment
21:44 AI’s Potential and Risks
29:19 Regulating AI
35:40 The Promise of AI
43:39 AI as the Modern Microscope
45:19 Limitations and Misconceptions of AI
47:57 The Role of Language in AI
50:26 AI Literacy and Public Perception
01:01:00 Open Source vs. Closed Source Debate
01:15:01 The Future of AI Education
01:22:31 Conclusion and Final Thoughts

 
SOCIAL LINKS:
- X: https://twitter.com/thedeepview
- Instagram: https://www.instagram.com/thedeepview.co/
- LinkedIn: https://www.linkedin.com/company/the-deep-view-ai/

Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

 
SPONSOR:
Google Cloud: For all your cloud needs.
Go to https://cloud.google.com/startups

EPISODE LINKS:
Taming Silicon Valley: https://mitpress.mit.edu/9780262551069/taming-silicon-valley/
Gary Marcus’ Testimony Before the Senate Judiciary Committee: https://www.judiciary.senate.gov/committee-activity/hearings/oversight-of-ai-rules-for-artificial-intelligence
Google DeepMind’s AlphaFold 3: https://alphafold.com/
Generative AI’s Copyright Problem: https://garymarcus.substack.com/p/the-potential-genai-copyright-infringement
Eric Schmidt, Let the Lawyers Clean it Up: https://www.theverge.com/2024/8/16/24221353/eric-schmidt-says-the-quiet-part-out-loud
Deep Learning is Hitting a Wall: https://garymarcus.substack.com/p/26-months-of-ridicule-and-failure?utm_source=publication-search
Marcus Bets Elon Musk $10 Million: https://garymarcus.substack.com/p/superhuman-agi-is-not-nigh

OUTLINE:
1:30 – The inspiration behind 'Taming Silicon Valley'
4:30 – Regulation won't stifle innovation; it'll do the opposite.
7:10 – The potential upsides of AI (if it's done right).
10:00 – Money, power and the original mission of AI
12:11 – Generative AI's copyright problem
13:35 – The culture and ethos of Silicon Valley
14:45 – Here's how we can achieve ethical AI
19:11 - Common AI misconceptions
22:01 – Deep learning and exponential progress
25:06 – The bursting of the AI bubble
31:31 – New AI paradigms: Neurosymbolic AI
33:45 – No AGI by 2027
38:00 – Is AGI possible?
39:45 – The role of regulation
42:15 – We shouldn't stop AI
45:30 – Chatbots aren't the "droids we're looking for"
49:30 – Is solving AI a good thing?
51:10 – Silicon Valley is its own worst enemy
53:20 – What should people do about AI?

 
SOCIAL LINKS:
- X: https://twitter.com/thedeepview
- Instagram: https://www.instagram.com/thedeepview.co/
- LinkedIn: https://www.linkedin.com/company/the-deep-view-ai/

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.

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?

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.

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.

Boost your CRM with Salesforce – tdv.co/sf

In this episode of The Deep View Conversations, we explore the world of machine translation and artificial intelligence with Olga Beregovaya — Smartling’s VP of Machine Translation and Artificial Intelligence. Olga takes us through the evolution of machine translation, from rule-based systems to statistical models to today’s neural networks and large language models.

She sheds light on how translation has shifted from being a purely linguistic endeavor to one that now sits at the intersection of data science, AI, and human creativity. We dive into hallucinations, under-resourced languages, the rise of synthetic data, and what it truly means to maintain quality in a multilingual world. If you've ever wondered what makes AI translation tick — and where it's going — this is the episode for you.

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this episode of The Deep View Conversations, we dive into the chaotic world of social media, misinformation, and the growing need for scientific credibility with Brinleigh Murphy Reuter — founder of the Harvard-incubated nonprofit, Science to People. Brinleigh unpacks why it’s become so hard to find accurate health and science information online, and how her organization is using generative AI to fix the broken flow of facts between researchers, influencers, and everyday users.

We explore everything from the overwhelming noise of algorithm-driven content and the dangers of viral misinformation, to how AI can empower creators with reliable, vetted science. If you’re curious about how tech, trust, and truth collide in the age of TikTok and ChatGPT, this is an episode you won’t want to miss.

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this episode of The Deep View Conversations, we dive into the complex intersection of artificial intelligence and healthcare with Pelu Tran, co-founder and CEO of Ferrum Health. Pelu shares his deeply personal motivation behind founding Ferrum, why AI adoption in healthcare is slow, and how Ferrum aims to solve the “last mile” problem of bringing AI into clinical practice.

We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency. If you’re curious about the real-world application of AI in hospitals and how to bridge the gap between innovation and implementation, this is a must-listen.

Outline: 

00:00 – Intro: AI and healthcare — promise vs. reality
01:00 – Meet Pelu Tran, CEO of Ferrum Health
03:10 – A personal tragedy leads to a mission: Ferrum’s origin
07:00 – The real reason AI adoption is slow in hospitals
10:00 – Infrastructure, security & why hospitals still use fax machines
13:30 – What Ferrum Health actually does
16:10 – Why FDA clearance isn’t enough for AI trust
19:00 – Ferrum’s approach: Validating models with AI itself
22:30 – AI performance drift & automated monitoring
25:00 – Diagnostic tools, LLMs, and AI's current limitations
28:40 – The illusion of language fluency and AI “hallucinations”
31:00 – Burnout, administrative burden & where AI helps
34:30 – Will AI speed things up or make hospitals worse?
38:00 – Hospital incentives & risks of productivity pressure
41:10 – AI replacing admin, not doctors (yet)
44:10 – Communicating AI performance to clinicians
47:30 – Measuring outcomes, not just accuracy
50:00 – Trust, governance, and safe deployment
53:15 – Why flexibility is key for AI in healthcare
56:00 – The future: Safe disruption vs. blind disruption
59:00 – Will AI replace doctors? Why not anytime soon
1:01:00 – Final thoughts: AI’s promise and pitfalls 

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations we break it all down, cutting through the hype to make clear what's important and why you should care.

In this gripping episode, we dive into the life-saving mission behind ZeroEyes, a pioneering company using artificial intelligence to detect visible weapons before shots are fired. The Deep View Team sits down with co-founder and Chief Revenue Officer Sam Alaimo, a former Navy SEAL, to explore how a tragic school shooting and military discipline inspired a groundbreaking solution to one of America’s most pressing issues: gun violence.

I sat down with Dr. Aaron Andalman, the Chief Science Officer and co-founder of Cognitiv. Andalman holds a PhD in neuroscience, and so today, we’re breaking down the gaps, connections and inspirations between AI and neuroscience; all the things we’ve learned and the many things we still don’t know. 

Episode links: 

• The giant squid: https://medium.com/the-quantastic-journal/from-squids-to-ai-how-neuroscience-and-physics-sparked-a-technological-revolution-06d8c291717c
• Neuroscience and AI: https://neuroscience.stanford.edu/news/neuroscience-and-ai-what-artificial-intelligence-teaches-us-about-brain-and-vice-versa
• The specter of AGI: https://www.thedeepview.co/p/how-big-tech-is-using-the-ai-race-and-the-specter-of-agi-to-cement-its-power-agi-openai-google
• Scale it up: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancements
• Animal intelligence: https://www.discovermagazine.com/planet-earth/how-intelligence-is-measured-in-the-animal-kingdom

Outline

0:00 – Intro

1:45 – The roots of AI 
7:12 – The different types of intelligence

12:05 – Neural networks VS artificial neural networks

19:19 – Efficiency in intelligence

23:51 – Why pursue AGI at all? 
28:44 – Reinforcement learning in machines VS animals

35:25 – Advancements in one, advancements in the other

43:46 – Being curious in the age of AI 

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Artificial intelligence is a complicated topic, bound by a number of complex threads — technical science, ethics, safety, regulation, neuroscience, psychology, philosophy, investment and — above all — humanity. On The Deep View: Conversations, Ian Krietzberg, host and Editor-in-Chief at The Deep View, breaks it all down, cutting through the hype to make clear what's important and why you should care.

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.

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 wins

If 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

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In a labor market being rewired by AI, CodeSignal is betting that skills, not resumes, will decide who thrives.

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 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

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?

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: subscribe.thedeepview.com

What does it actually take for enterprises to adopt AI at scale? 

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 settings 

Shibani 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

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.

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 agents

Few 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

Stefan Weitz thinks AI should not just make companies faster. It should make every individual inside them dramatically more capable.

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 mind

But this conversation goes beyond events. It’s really about leadership in the age of AI.

Along the way, Stefan offers a clear view of what it takes to build an organization that can actually apply AI, not just talk about it. He also shares a leadership principle that has shaped his approach.

If you’re thinking about how to scale impact across your team, or how to move from AI curiosity to real execution, this conversation delivers practical insights you can use right away.

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

Analysts, marketers, and business owners face the same question: How do you reach audiences in an era when AI is reshaping how people search and find information they need? That’s a top-of-mind issue for Pat Brown, SVP of global marketing, growth, analytics, and platform at Adobe.

Brown joins The Deep View Conversations to share his unique perspective on the issue, with the expertise of someone who was doing marketing science before it was even called that, and who, in his current role, is responsible for global marketing execution across various forms of media and has to put these skills into practice every day.

Pat breaks down how AI is moving beyond content generation to reshape media workflows end-to-end, from audience measurement to agents that automate entire processes.

Topics covered:

+ The role of AI agents in automating marketing workflows

+ How AI in marketing can augment rather than replace creativity

+ AI-powered marketing tools that help analyze patterns and signals

+ Whether AI has “killed” SEO and what that means for marketers’ jobs

+ The rise of new terms like AEO and GEO in a “zero-click” search world

+ Why it’s still worth investing in marketing and brand strategy despite AI changes

+ Why today’s AI-driven SEO landscape feels like the early days of SEO

If you want to understand how AI is reshaping and helping individuals connect more effectively with audiences, this conversation will leave you feeling more knowledgeable about those topics.

Subscribe for weekly conversations with the leaders shaping the future of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

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.

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

What happens when AI agents outnumber humans in the enterprise? 

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 world 

But this isn't a doom-and-gloom conversation. Jeetu lays out a vision for how security can become an accelerator rather than a limiter, and why the distinction between giving agents access and giving them trusted, governed access will define which enterprises thrive in the agentic era. 

If AI agents are the next platform shift, cybersecurity may be the defining battleground. 

Watch 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 

What happens when a startup's mission perfectly aligns with the biggest trend in tech? That's exactly where Guild AI finds itself in 2026. 

James Everingham, CEO of Guild AI, joins The Deep View Conversations to talk about building a safety layer for AI agents. The product launched in fall 2025 and 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. 

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 

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.

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 you put AI to work every day: subscribe.thedeepview.com

Android’s latest AI update is less about flashy demos and more about solving everyday problems.

In this special episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Mindy Brooks, VP of Product Management for Google Android, for an exclusive interview on Gemini Intelligence for Android.

Brooks explains why Google is focusing its Android AI strategy on saving users small amounts of time across daily tasks. The conversation explores how Android is evolving from an operating system into a more personalized, context-aware "intelligence system" powered by Gemini.

Topics covered include:

+ Rambler for Gboard, Google’s new AI-powered voice dictation system to rival Wispr Flow

+ The expansion of Task Automation across more apps

+ How Create My Widget uses AI to generate custom widgets on demand

+ How Intelligent Autofill is powered by Gemini's Personal Intelligence

+ The Android AI feature Brooks personally uses the most

If you want to understand where mobile AI is headed next, and why Google believes utility matters more than spectacle, this conversation breaks it down.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

What happens when AI moves from cloud-only to running everywhere, including on your laptop, your phone, and other devices around you?

In this episode of Deep View Conversations, senior reporter Sabrina Ortiz sits down with Olena Zhu, who leads AI for the client computing group at Intel, to explore one of the biggest shifts underway in AI: the move toward accessible, affordable, and privacy-first AI systems.

Zhu explains why the economics and infrastructure demands of cloud-only AI may not scale indefinitely, and why on-device AI could become a critical part of the industry's future. She also reflects on the evolution from traditional AI systems to LLMs and now to agentic AI, and why this wave feels fundamentally different from the hype cycles that came before it.

The conversation also dives into how AI is changing the way people work, learn, and experiment, including the surprising mindset Zhu believes helps people get the most value from AI tools today.

Topics covered include:

+ Why cloud-only AI has limits

+ The future of on-device and edge AI

+ AI affordability, energy use, and data sovereignty

+ How agentic AI changed Zhu’s workflow

+ Why experimentation matters more than expertise

+ Intel’s vision for privacy-first AI systems

+ The hidden infrastructure challenge behind AI growth

+ Why AI adoption may depend on trust and accessibility

If you're concerned about the affordability, accessibility, and privacy of AI, you don't want to miss this episode.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

In this episode of The Deep View Conversations, we sit down with Alex Rinke, co-founder and co-CEO of Celonis, to unpack one of the most overlooked truths in enterprise AI.

Rinke and his co-founders started Celonis 15 years ago in Munich with just $15,000. What followed was a grind, including thousands of handwritten letters to land early customers, and a steady evolution from process simulation to what is now known as process intelligence.

Today, Celonis works with roughly half of the world’s 200 largest companies. Its platform acts like an MRI for the enterprise, creating a digital twin of how work actually happens across fragmented systems.

Rinke’s core argument is simple and provocative: there is no enterprise AI without process intelligence. Companies that deploy agents without understanding their underlying processes risk automating inefficiency at scale.

We also cover:

+ How Celonis re-engineered itself for the AI era

+ What the co-CEO model works like in practice and why it can be a competitive advantage

+ How hiring is changing inside AI-native companies

+ The tools Rinke uses to run his own workflow

If you want to understand where AI actually delivers results inside large organizations, don't sleep on this conversation.

Watch now and subscribe for more conversations at the frontier of AI.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com 

In this episode of The Deep View Conversations, senior reporter Nat Rubio-Licht sits down with Ian Silber, Head of Product Design at OpenAI, to explore how ChatGPT is evolving for the future. 

Silber explains why designing for AI requires a different mindset than designing traditional apps. Instead of treating the model as something behind the interface, he says designers now have to think of the model itself as part of the material they work with. That shift changes everything from product decisions and user experience to ethics, safety, and human judgment. 

The conversation also covers Silber’s experience at Instagram, how that shaped his approach to building fast-growing consumer products, and how OpenAI’s design team is thinking about the next phase of ChatGPT, including more proactive and agentic experiences. Silber also shares how he personally uses AI in his work, from brainstorming design principles to prototyping ideas with Codex. 

Topics covered:

+ How OpenAI approaches product design for ChatGPT

+ Why AI changes the traditional design process

+ What designers can learn from fast-growing consumer products like Instagram

+ How ethics, safety, and responsibility show up in AI design

+ Why human judgment will become more important as AI tools improve

+ How Codex and image generation are changing prototyping workflows

+ What young designers should know as they enter the AI era

+ Why curiosity and adaptability matter in a fast-changing industry 

If you’re a designer, product leader, builder, technologist, or anyone trying to understand how AI is changing creative work, product development, and human decision-making, you don’t want to miss this episode.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology. 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com 

This is a special episode of The Deep View Conversations podcast, recorded at Google I/O on Tuesday, May 19, 2026. 

AI smart glasses have quietly built momentum over the past several years, promising to put artificial intelligence directly in your line of sight. Now, Google has shown us the final product of its first AI glasses, which appear to have a clear competitive edge. 

Juston Payne, Google's director of product management for XR, joins The Deep View Conversations straight from Google I/O, where the company pulled the curtain back and gave the world a first look at two of the pairs that will lead the collection when they launch in the fall: a pair from Gentle Monster and one from Warby Parker. 

Juston discusses how the AI smartglasses came to be, including the collaboration between Samsung, Google, Warby Parker, and Gentle Monster. In addition to discussing details of the new launch, including design, product choices, functionality, the roadmap, and more, Juston also sheds light on the broader AI glasses market and why people should give them a shot. 

Topics covered:

+ The thought put into the aesthetics and comfort of smart glasses

+ What products will be available for users to purchase at launch

+ How the glasses act as an equivalent of a touchscreen on a phone for interacting with Gemini

+ The computation offloading strategy that leverages the user’s smartphone 

+ The choice to first launch with an audio-only product rather than in-lens displays

+ How Google is approaching privacy concerns with the cameras on the glasses

+ Real-world use cases for AI smart glasses 

If you want to understand how AI glasses are reshaping the way people connect, this conversation will leave you much more knowledgeable about Google's strategy. 

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology. 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com 

In this episode of The Deep View Conversations, we sit down with Robert Brooks IV, chief commercial officer at Lambda, to talk about the massive AI infrastructure buildout now underway.

Lambda’s mission is to build supercomputers for superintelligence. But Brooks argues that the story is bigger than GPUs, data centers, and rising demand. It is about why compute is becoming one of the most strategically important resources in the AI economy, and why Lambda believes compute is not a commodity.

The conversation goes deep on Lambda’s vision for democratizing AI, why the company invests in research, and how its experience building physical infrastructure shapes what it can offer AI labs, hyperscalers, enterprises, and researchers.

Topics covered include:

+ Why Lambda thinks “one GPU per person” is achievable

+ The hidden complexity behind modern AI data centers

+ Why compute demand keeps surprising the industry

+ His $40,000 robot experiment and what it taught him about the future of work

+ How AI is changing the way leaders spend their time

If you want to better understand the physical and economic foundations powering the AI boom, this conversation is worth your time.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Ahmad Al-Dahle has been at the center of some of the biggest technology and societal shifts of the past two decades. He helped develop the early iPhone at Apple, spearheaded the open-source Llama models at Meta to help decentralize AI power and influence, and now serves as CTO of Airbnb, where he's using AI to help people spend more time in the real world.

In this episode of The Deep View Conversations, we sat down with Ahmad to discuss Airbnb's vision for AI, why he believes AGI is coming, how AI agents are revolutionizing executive workflows, and why technology should ultimately help people spend less time with technology and more time having human experiences.

Topics covered include:

+ Why Ahmad left Apple after over 15 years

+ How Airbnb is using AI to reimagine travel and drive more meaningful connections

+ The future of open-source AI and the impact of Llama

+ Why Ahmad believes AGI is inevitable and what comes next

+ How AI agents are transforming leadership and productivity

+ Lessons from working with Steve Jobs, Mark Zuckerberg, and Brian Chesky

If you're a leader, AI builder, entrepreneur, investor, or anyone trying to understand where AI is headed beyond the hype, you don't want to miss this episode. Ahmad's insights on AGI, open models, AI agents, and the future of human connection make this one of the most thoughtful discussions we've had on the show.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Behind the current AI boom is a developer community that both uses and builds powerful tools. Google recently released a wave of new developer-focused AI tools at Google I/O, but one person has gone further: fostering an entire online community.

Google's Logan Kilpatrick joined Sabrina Ortiz on The Deep View Conversations podcast straight from Google I/O, not only to share more insights on the new products but also to draw on his rich quilt of experiences to address the broader AI space, the future of software engineering, the developer community and more. 

While Logan's official role is as a member of technical staff at Google DeepMind, he has become a well-respected voice in the developer community, accumulating over 320K followers on X and constantly engaging with users. Prior to joining Google, Logan worked for NASA, OpenAI, Apple, and other AI startups, making him a builder at his core.  

Topics covered in this episode:

+ 'Vibe coding' compared to agentic engineering

+ The capabilities of Google's new Gemini 3.5 Flash

+ The internal "flywheel" at Google, where teams use AI to accelerate the development of products

+ The differences between AI Studio and Project Antigravity

+ The need for developers to regularly "reset their level of ambition”

If you want to understand the distinction between rapid prototyping and managing million-line production codebases with AI, this conversation will leave you much more knowledgeable about the principles of agentic engineering. 

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

At Apple Park, Jason Hiner and Sabrina Ortiz sat down for a special episode of The Deep View Conversations at the end of WWDC 2026 to break down Apple's biggest AI announcements.

After two years of delays, promises, and mounting pressure, Apple finally delivered the Siri and Apple Intelligence experience we've been waiting for. But the bigger story may be how Apple is bringing AI to everyday users without forcing them into chatbots, new apps, or complicated workflows.

In this conversation, Jason and Sabrina unpack the most important announcements from WWDC, debate Apple's approach to AI, and explore where Apple's strategy differs from OpenAI, Google, Anthropic, and the rest of the industry.

Topics covered include:

• Why Apple's new Siri is a much bigger deal than it looks
• How 'Personal Context' is Apple's biggest AI advantage
• Why Apple is betting on features over chatbots
• The role of privacy, trust, and Private Cloud Compute
• Why Spatial Reframing is Apple's most innovative AI feature
• How Apple Intelligence works with Apple's Foundation Models and Google Gemini
• The AI upgrades coming to Photos, Safari, Messages, Writing Tools, and Mac
• Why Jason thinks Apple needs a stronger AI agent strategy
• Why Sabrina believes Apple is right to avoid AI buzzwords
• What WWDC revealed about the future of AI on iPhone, Mac, Vision Pro, and beyond
• The biggest wins, misses, and unanswered questions from Apple's AI roadmap

If you're trying to understand where AI is actually headed, beyond the hype cycle, this is an episode you won't want to miss. Whether you're an Apple user, an AI enthusiast, a developer, or simply curious about how AI will show up in everyday life, this conversation offers one of the clearest perspectives on Apple's next chapter.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology: tdv.transistor.fm 

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Perplexity has become one of the most important AI companies in the world, but its ambitions now stretch far beyond AI-powered search.

In this episode of The Deep View Conversations, we sit down with Dmitry Shevelenko, chief business officer at Perplexity, to discuss how the company evolved from an AI answer engine into a platform for AI agents and digital coworkers. Dmitry explains why Perplexity has focused so intensely on accuracy, how AI is changing the nature of work, and why he believes the future belongs to small, highly leveraged teams.

The conversation also explores Perplexity Computer, hybrid compute, the coming shift toward AI agents, and what leaders need to do to stay relevant in a world where AI increasingly performs knowledge work.

Topics covered:

• Why Perplexity made accuracy its defining principle

• How Perplexity grew from 20 employees to 400

• The rise of AI agents and digital coworkers

• Why Perplexity abandoned advertising as a core strategy

• How Perplexity Computer orchestrates multiple AI models

• The future of hybrid cloud and local AI computing

• Why "tokenmaxxing" may not be sustainable

• How AI is reshaping entry-level jobs

• Why entrepreneurship may become the new career path

• The three skills that will matter most in the AI era

• How leaders should think about leverage and productivity

• What Perplexity sees coming next in AI

If you're trying to understand where AI agents are headed, how work is changing, and why Perplexity has emerged as one of the AI industry's key players, this is a conversation you won't want to miss.

Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology.

And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com