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.

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

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)

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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

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)

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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  

Get The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here! (https://www.thedeepview.co/subscribe)

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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.