The Deep View: Conversations

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.

We sat down with Dr. Jerry Chow, an IBM fellow and the Director of IBM’s Quantum Infrastructure. And today, we’re breaking down what quantum computing is, why it’s important, how it fits into the growing realm of artificial intelligence and what about quantum is real (and what’s just plain hype).  Episode Links: IBM’s Quantum Roadmap: https://www.flickr.com/photos/ibm_research_zurich/53347055153/Quantum-centric supercomputing: https://www.ibm.com/think/topics/quantum-centric-supercomputingIBM launches advanced quantum computers: https://newsroom.ibm.com/2024-11-13-ibm-launches-its-most-advanced-quantum-computers,-fueling-new-scientific-value-and-progress-towards-quantum-advantageIBM’s quantum in use: https://www.ibm.com/quantum/case-studies/modeling-realistic-chemistryResponsible quantum: https://www.ibm.com/quantum/blog/responsible-quantumAI’s sustainability problems: https://www.thestreet.com/technology/heres-what-ai-for-sustainability-actually-looks-like-ibm-machine-learning-executivesThe ethics of AI: https://www.thestreet.com/technology/the-ethics-of-artificial-intelligence-responsible-aiHow a quantum computer could break encryption: https://www.technologyreview.com/2019/05/30/65724/how-a-quantum-computer-could-break-2048-bit-rsa-encryption-in-8-hours/Google’s breakthrough: https://blog.google/technology/research/google-willow-quantum-chip/Outline: 0:00 – Intro1:00 – Jerry’s personal journey into quantum 2:37 – What exactly is quantum computing? 10:44 – How do you measure efficacy in quantum computers? 13:30 – Problems that are good for quantum16:30 – Quantum and AI 20:00 – The energy intensity of quantum 23:40 – The ethics of more powerful computation 25:30 – Quantum could break encryptions27:46 – Quantum’s inherent limitations30:23 – All the hype36:40 – Google’s breakthrough and ‘parallel’ universes40:00 – What you need to understand 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.