The Deep View: Conversations

The Deep View
  • 5,0 (6)
  • TECHNOLOGIES
  • CHAQUE SEMAINE

Artificial intelligence is a complicated topic, bound by many 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.

  1. #26: How AI Accelerates Drug Development - Patrick Leung

    10 JUIL.

    #26: How AI Accelerates Drug Development - Patrick Leung

    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?

    57 min
  2. #25: AI, Voice, and the Shifting Human Experience - Russ d'Sa

    3 JUIL.

    #25: AI, Voice, and the Shifting Human Experience - Russ d'Sa

    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.

    1 h 6 min
  3. #24: What Makes Machine Translation Work? - Olga Beregovaya

    24 JUIN

    #24: What Makes Machine Translation Work? - Olga Beregovaya

    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.

    57 min
  4. #23: Reclaiming Truth in the Age of Algorithms - Brinleigh Murphy-Reuter

    11 JUIN

    #23: Reclaiming Truth in the Age of Algorithms - Brinleigh Murphy-Reuter

    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.

    59 min
  5. #22: AI in Healthcare: Trust, Adoption & the "Last Mile" - Pelu Tran

    26 MAI

    #22: AI in Healthcare: Trust, Adoption & the "Last Mile" - Pelu Tran

    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.

    1 h 3 min
  6. #21: ZeroEyes: The AI Weapon Detection System Protecting Public Safety - Sam Alaimo

    20 MAI

    #21: ZeroEyes: The AI Weapon Detection System Protecting Public Safety - Sam Alaimo

    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.

    53 min
  7. #20: The origins of artificial intelligence - Aaron Andalman

    29 AVR.

    #20: The origins of artificial intelligence - Aaron Andalman

    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-kingdomOutline 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.

    56 min
  8. #19: Programmable plants - Brad Zamft

    22 AVR.

    #19: Programmable plants - Brad Zamft

    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-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 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.

    1 h
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À propos

Artificial intelligence is a complicated topic, bound by many 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.

Informations

  • Création
    The Deep View
  • Années d’activité
    2024 - 2025
  • Épisodes
    26
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    Tous publics
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    © 2025 The Deep View
  • Site web de l’émission
    The Deep View: Conversations

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