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?

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.

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)

Connect with us on X, TikTok and Instagram.

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.

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)

Connect with us on X, TikTok and Instagram.

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

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)

Connect with us on X, TikTok and Instagram.

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

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)

Connect with us on X, TikTok and Instagram.

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.