The Deep View: Conversations

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problem of bringing AI into clinical practice.We explore everything from trust in algorithms, systemic challenges, and outdated infrastructure to the ethical implications of AI in medicine and the risk of over-efficiency.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. reality01:00 – Meet Pelu Tran, CEO of Ferrum Health03:10 – A personal tragedy leads to a mission: Ferrum’s origin07:00 – The real reason AI adoption is slow in hospitals10:00 – Infrastructure, security & why hospitals still use fax machines13:30 – What Ferrum Health actually does16:10 – Why FDA clearance isn’t enough for AI trust19:00 – Ferrum’s approach: Validating models with AI itself22:30 – AI performance drift & automated monitoring25:00 – Diagnostic tools, LLMs, and AI's current limitations28:40 – The illusion of language fluency and AI “hallucinations”31:00 – Burnout, administrative burden & where AI helps34:30 – Will AI speed things up or make hospitals worse?38:00 – Hospital incentives & risks of productivity pressure41:10 – AI replacing admin, not doctors (yet)44:10 – Communicating AI performance to clinicians47:30 – Measuring outcomes, not just accuracy50:00 – Trust, governance, and safe deployment53:15 – Why flexibility is key for AI in healthcare56:00 – The future: Safe disruption vs. blind disruption59:00 – Will AI replace doctors? Why not anytime soon1:01:00 – 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-06d8c291717cNeuroscience and AI: https://neuroscience.stanford.edu/news/neuroscience-and-ai-what-artificial-intelligence-teaches-us-about-brain-and-vice-versaThe 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-googleScale it up: https://www.thedeepview.co/p/progress-predictions-2025-robots-avs-and-technical-advancementsAnimal intelligence: https://www.discovermagazine.com/planet-earth/how-intelligence-is-measured-in-the-animal-kingdomOutline0:00 – Intro1:45 – The roots of AI 7:12 – The different types of intelligence12:05 – Neural networks VS artificial neural networks19:19 – Efficiency in intelligence23:51 – Why pursue AGI at all? 28:44 – Reinforcement learning in machines VS animals35:25 – Advancements in one, advancements in the other43:46 – 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.

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-supplyThe 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-changeOutline0:00 – Intro2:18 – Brad’s journey to Heritable Agriculture9:29 – Why we need programmable plants14:23 – Challenges of biology19:38 – Validating the models22:14 – How does this all physically work? 31:05 – The challenge of adjusting 2 billion years of evolutionary success34:48 – The risks of AI cracking plant DNA39:50 – Regenerative Agriculture and tuning for resiliency in the face of climate change47:53 – How farmers view the approach51:59 – Tree adjustments56:28 – The future outlookGet 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.

Dr. Nada Sanders, a distinguished professor of supply chain management, delves into the intricate relationship between tariffs and AI. She discusses how trade wars complicate the supply chain for AI technologies and emphasizes the urgent need for companies to adapt amidst rising costs. The conversation highlights challenges in resurrecting U.S. semiconductor manufacturing and navigating innovation in a slowing economic landscape. Sanders also addresses the competitive risks posed to smaller firms due to monopolistic dynamics in the tech industry.

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-intelligenceSam Altman says we must regulate AI: https://www.thedeepview.co/p/paris-ai-summit-the-smoke-and-mirrors-of-governanceEU AI Act: https://www.europarl.europa.eu/topics/en/article/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligenceChallenge of AI regulation: https://www.thedeepview.co/p/report-the-misguided-race-to-regulationNurses and AI: https://www.thedeepview.co/p/current-harms-and-the-real-world-impacts-of-algorithmic-decision-makingPreslav Nakov fact-checking LLMs: https://aclanthology.org/2024.findings-acl.558/Outline0:00 – Intro2:28 – AI for compliance4:43 – Overcoming reliability problems10:16 – Toys VS tools15:54 – Keeping up with the rate of ‘progress’22:03 – The challenge of regulation: 28:55 – Balancing AI with the bottom line34:38 – The problem with ‘Abundance’43:11 – How to get the good without all the bad51:17 – Running to and running from technology55:02 – Looking for optimismGet 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.

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/-umrjwGFTRwEpisode links: Quantum sensing: https://www.baesystems.com/en-us/definition/what-is-quantum-sensingSandbox LQMs: https://www.sandboxaq.com/Quantum computers: https://www.ibm.com/think/topics/quantum-computingSandbox drug discovery: https://www.sandboxaq.com/solutions/aqbiosimSandbox materials generation: https://www.sandboxaq.com/post/building-better-batteries-with-lqmsOutline0:00 – Intro1:36 – 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 systems35:41 – Black Boxes and LQMS 37:45 – LQMs and hallucination41:50 – LQMs and drug discovery50:00 – The cost associated with LQMs53:37 – LQMs and materials generation56:55 – 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)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.

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-networksConvolutional 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.htmlLanguage 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-aiAGI and existential risk: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-risk#4Outline0:00 — Intro2:07 — What is intelligence? 4:36 — How AI boosts our understanding of the brain8:09 — The differences between neurons and artificial neurons12:13 — How much do we know — and not know — about biological brains15:49 — LLMs and the illusion of intelligence20:07 — Language vs Thought23:37 — Should we train models not to use the first person? 28:04 — The pursuit of AGI 34:26 — IBM’s model approach35:49 — AGI is a distraction40:02 — How big a deal is AI? 45:26 — The risk of the AI brain drainGet 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.

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-advancementsReuters copyright lawsuit: https://www.thedeepview.co/p/study-most-people-can-t-identify-deepfakesMusk v Altman: https://www.entrepreneur.com/business-news/musk-v-altman-billionaires-attorneys-face-off-in-court/486647Chatbots, mental health and Character AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbingThe AI bubble: https://www.thedeepview.co/p/what-the-trade-war-might-mean-for-aiThe 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-googleAI in the enterprise: https://www.thedeepview.co/p/humanx-ai-s-inflection-point-conference-artifcial-intelligenceOutline: 0:00 – Intro2:15 – How the AI field has changed 7:43 – The five taboos Silicon Valley broke12:11 – The ‘adulting’ of AI 15:27 – How big of a deal might AI be?17:52 – The hyperscalers won’t get to AGI21:42 – Digital god and ‘synthetic slaves’25:19 – X-Risk and the safety debate32:53 – Brute-forcing intelligence37:59 – Cracking AI in the enterprise44:50 – The bubble48:15 – AI is an orchestraGet 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.

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/2304.03271The public health crisis of GenAI: https://arxiv.org/pdf/2412.06288Water consumption VS water use: https://www.wri.org/insights/whats-difference-between-water-use-and-water-consumptionPepsi Co’s water consumption: https://www.pepsico.com/our-impact/esg-topics-a-z/water#approachGoogle and Microsoft’s water consumption: https://www.thedeepview.co/p/google-emissions-are-spiking-due-to-increased-energy-demands-of-aiElon Musk’s Memphis data center: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligenceOutline: 0:00 – Intro1:27 – The water consumption of AI7:30 – The difference between water ‘consumption’ and water ‘use’16:15 – The impact of reasoning models 18:03 – A solution to AI’s water problem19:58 – The public health cost of AI 27:55 – Addressing the problem33:52 – The dichotomy of the AI industry42:37 – A cost-benefit analysis48:49 – Looking aheadGet The Deep View — your daily source for in-depth, fact-based reporting on artificial intelligence — in your inbox every morning. Subscribe here!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.