The Deep View: Conversations

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/sfIn 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. 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.

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/c62z54gwd22oNvidia’s US push: https://www.thedeepview.co/p/nvidia-to-produce-500-billion-worth-of-supercomputers-in-the-u-s-for-the-first-timeApple’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 chain19:13 – 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 offGet 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. 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.

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-intelligenceMatterGen: https://www.thedeepview.co/p/report-ai-is-everywhere-already-even-if-we-don-t-know-itThe dubious nature of AGI: https://www.thedeepview.co/p/the-nobel-prize-and-the-mainstreaming-of-ai-s-x-riskOutline:0:00 – Intro2:13 – The importance of domain expertise in AI 5:17 – The promise of AI for science12:47 – Project Aurora and climate modeling 15:27 – The cost-benefit analysis of AI 18:43 – Weather prediction models VS ChatGPT21:36 – AI to shield against engineering disasters24:36 – How does Microsoft decide which applications to pursue27:32 – Microsoft Research’s main areas of focus33:24 – MatterGen and material generation39:24 – How the wet lab is changing42:19 – Is AGI a worthwhile pursuit for scientific advancement?  47:43 – Technological optimism and the way forwardGet 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.

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-workAir 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-hisAI trade runs out of steam: https://www.thedeepview.co/p/nvidia-beats-expectations-but-wall-street-wanted-moreOutline0:00 – Intro1:57 – AI guardrails … in 2019 4:51 – How consumers view guardrails in AI 11:03 – Tempered excitement in the enterprise13:05 – Why do we need guardrails17:59 – The role of regulation24:07 – Why don’t developers guardrail their systems? 28:30 – Detecting hallucinations with guardrail models34:11 – Guardrailing AGI 41:33 – Is the AI revolution slowing? 44:18 – How guardrails enable a positive outcomeGet 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. 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-riskMicrosoft and OpenAI’s AGI definition: https://www.theinformation.com/articles/microsoft-and-openais-secret-agi-definition?rc=sbfmgmAI agents: https://www.thedeepview.co/p/prog-predictions-series-draft-ef9c081b34af8540AI and job loss: https://www.thedeepview.co/p/chatgpt-s-impact-on-the-labor-market-openai-generative-ai-artificial-intelligence-job-loss-report-stTechnological revolution: https://www.thedeepview.co/p/south-korea-stakes-a-claim-in-the-ai-raceThe Free Press article mentioned at 38:29: https://www.thefp.com/p/freddie-de-boer-is-ai-the-greatest-invention-or-overhypedOutline: 0:00 – Intro 3:16 – The pace of improvement8:56 – Unraveling ‘AGI’14:47 – The inflection point of AI agents21:54 – Thinking about reliability26:14 – The economic implications of AI 32:37 – Is AI like the Industrial Revolution? 38:29 – How useful is AI, actually? 43:57 – Existential risk Get 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.

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-itSocial determinants of health: https://www.cdc.gov/public-health-gateway/php/about/social-determinants-of-health.htmlFine-tuning AI models: https://www.ibm.com/think/topics/fine-tuningCybersecurity and AI: https://www.gartner.com/en/cybersecurity/topics/cybersecurity-and-aiCharacter AI and anthropomorphization: https://www.thedeepview.co/p/character-ai-sued-for-mental-health-decline-in-teenage-users-allegedly-encouraged-user-to-murder-hisOutline: 0:00 — Intro3:05 — Why Dor started Intuition Robotics7:22 — The importance of a targeted demographic11:00 — Solving for loneliness15:30 — How ElliQ works, technically28:35 — ElliQ and data privacy35:11 — The ethics of artificial companionship 40:22 — Humanity and AI companionshipGet 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.

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.htmlMusical.ly’s FTC fine: https://apnews.com/article/lifestyle-technology-business-data-privacy-parenting-eafed6bfd7d241549e097e38e8088873X 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-stHuman creativity persists in the era of generative AI: https://www.thestreet.com/technology/human-creativity-persists-era-of-generative-artificial-intelligenceCharacter AI: https://www.thedeepview.co/p/i-downloaded-character-ai-it-s-profoundly-disturbingThe AI mirror: https://ssir.org/books/reviews/entry/the-ai-mirror-shannon-vallorDigital necromancy: https://www.thedeepview.co/p/elevenlabs-latest-release-highlights-the-issue-of-digital-necromancyHello 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-dataThe public health crisis of AI: https://www.thedeepview.co/p/the-public-health-crisis-of-artificial-intelligenceAI and sustainability: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executivesOutline: 0:00 – Intro1:52 – Irina’s journey into ethics4:42 – The link between social media and AI 9:57 – Why should people care about data privacy15:27 – The impact of automation on society20:00 – What happens to the generation who grows up with AI? 26:24 – What AI might mean for loneliness? 32:06 – Grief and digital immortality39:06 – The issue of anthropomorphization 44:19 – The lifecycle of data47:34 – We track everything, all the time53:47 – Is AI anti-human? 59:03 – Skepticism in AI 1:00 – Tech solutionism & its impacts1:12 – Regulation and twisted incentivesGet 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.