Machine Minds

Greg Toroosian

Machine Minds - the minds behind the machines! This is the show where we dive deep into the intricate worlds of robotics, AI, and Hard Tech. In each episode, we bring you intimate conversations with the founders, investors, and trailblazers who are at the heart of these tech revolutions. We dig into their journeys, the challenges they've overcome, and the breakthroughs that are shaping our future. Join us as we explore how these machine minds are transforming the way we live, work, and understand our world. 

  1. The Missing Architecture Behind Autonomous AI with Jacob Buckman

    4 NGÀY TRƯỚC

    The Missing Architecture Behind Autonomous AI with Jacob Buckman

    In this episode of Machine Minds, we step beyond today’s transformer-dominated AI landscape and into a deeper conversation about what’s missing on the path to truly autonomous, long-horizon intelligence. Jacob Buckman, co-founder and CEO of Manifest AI, joins Greg to explore why current AI systems struggle with long-term reasoning, persistent memory, and extended task execution—and what it will take to unlock the next paradigm. Jacob’s journey into AI began early, fueled by science fiction, programming, and a fascination with building systems that could do meaningful work autonomously. From studying and conducting research at Carnegie Mellon to working at Google Brain, he watched deep learning unify once-fragmented AI subfields—vision, language, speech—under a single scalable framework. That unification shaped his conviction that the next breakthrough wouldn’t come from incremental tuning, but from rethinking a fundamental architectural bottleneck. At Manifest AI, Jacob and his team are tackling what they believe is the missing piece: scalable long-context intelligence. Their work centers on replacing transformer attention with a new family of architectures called retention models, designed to compress and retain relevant information over time—rather than repeatedly replaying massive histories. The goal: AI systems that can reason, learn, and work continuously over hours, days, or longer. In this conversation, Greg and Jacob explore: Jacob’s path from aspiring scientist to AI researcher and founder—and why curiosity plus first principles thinking matter more than trendsWhy today’s large language models excel at short tasks but break down over long horizonsThe core limitation of transformer attention—and why “attention is all you need” may no longer holdHow retention architectures unify the strengths of transformers and recurrent neural networksWhat it means for an AI system to compress knowledge instead of endlessly appending memoryWhy long-term reasoning, iterative problem solving, and true autonomy require architectural change—not orchestration hacksThe misconception that agent orchestration can substitute for unified, persistent intelligenceHow long-context models could reshape agents from short-lived “consultants” into persistent, personalized collaboratorsThe technical challenge of translating theoretical breakthroughs into high-performance GPU kernelsWhy Manifest AI is open source—and how their work aims to move the entire field forwardLessons from unifying AI subfields, the “bitter lesson” of scale, and avoiding ad-hoc solutions that won’t lastJacob’s view on cost, intelligence density, and why better architectures will increase—not reduce—investment in AIAdvice for founders and researchers: focus relentlessly on the single bottleneck that matters mostIf you’re building AI systems, researching foundations of intelligence, or trying to understand what comes after today’s models, this episode offers a rare, deeply reasoned look at where the field may be heading—and why architectural simplicity could unlock far more than brute force scale. Learn more about Manifest AI: https://manifestai.com Explore the open-source retention models: pip install retention Connect with Jacob Buckman on LinkedIn: https://www.linkedin.com/in/jacobbuckman Connect with Greg Toroosian on Linkedin: https://www.linkedin.com/in/gregtoroosian

    51 phút
  2. Fixing the Last Manual Step in Modern Logistics with Chris Smith

    24/12/2025

    Fixing the Last Manual Step in Modern Logistics with Chris Smith

    In this episode of Machine Minds, we dive into one of the most overlooked choke points in logistics: the loading dock. Chris Smith, founder and CEO of Slip Robotics, joins Greg to unpack why loading and unloading trucks remains one of the most manual, time-consuming processes in modern supply chains—and how Slip is transforming it with autonomous, high-payload mobile robots. Chris brings a rare blend of firsthand operator insight and deep robotics experience. From continuous improvement roles at Cummins, to factory-scale automation at Tesla, to building heavy-payload robots at a previous startup, his career repeatedly exposed the same inefficiency: trucks spending hours being loaded and unloaded for trips that last minutes. Slip Robotics was born from the realization that this problem wasn’t unsolved because it was hard—it was unsolved because no one had redesigned the workflow end-to-end. Slip’s solution is deceptively simple: a large, flat autonomous robot that becomes the staging lane, drives directly into trailers, stays with the freight during transport, and unloads autonomously on the other side. The result is five-minute loads, five-minute unloads, reduced labor, faster throughput, and dramatically improved dock utilization—without modifying trailers or docks. In this conversation, Greg and Chris explore: Chris’s path from risk-averse engineer to founder—and why betting on yourself can be the most rational riskThe real-world pain that inspired Slip Robotics, observed firsthand across manufacturing, warehousing, and factory logisticsWhy docks function as the “physical API” of logistics—and how Slip leverages that instead of fighting itThe technical challenges of moving 12,000-pound payloads up dock levelers and trailer slopesWhy Slip’s robots generate massive ROI despite moving only ~5% of the timeEarly customer deployments, including automotive OEMs cutting lead times in half within weeksHow close, on-site collaboration with early customers shaped a scalable, commercial productWhy Slip operates on a Robotics-as-a-Service (RaaS) model—and how it aligns incentives around uptime and performanceHiring for early-stage robotics startups: why the first 20–30 people must be both specialists and adaptableSlip’s core cultural principles, including “rapidly deploying elegantly simple solutions” and delivering disproportionate value to stakeholdersWhere logistics automation is headed—and why dock efficiency may be the biggest unlock in transportation networksChris’s take on general-purpose robots vs. highly specialized form factors, and where humanoids may (or may not) fitIf you’re building robots, deploying automation, or thinking about how physical systems actually scale in real-world environments, this episode offers a clear-eyed look at how simplicity, speed, and workflow-first thinking can unlock massive value. Learn more about Slip Robotics: https://sliprobotics.com Connect with Chris Smith on LinkedIn: https://www.linkedin.com/in/christopher-r-smith Connect with Greg Toroosian on LinkedIn: https://www.linkedin.com/in/gregtoroosian

    48 phút
  3. Unlocking Healthcare Efficiency with Physical Intelligence Solutions with Nicholas Kirsch

    17/12/2025

    Unlocking Healthcare Efficiency with Physical Intelligence Solutions with Nicholas Kirsch

    In this episode of Machine Minds, we look at how physical intelligence—the fusion of robotics, automation, and software—can reshape one of society’s most strained systems: healthcare. Director of Software Engineering Nicholas Kirsch joins Greg to break down why hospital pharmacies are essentially “mini warehouses,” how automation is already quietly at work behind the scenes, and what it will take to reach the vision of a fully autonomous pharmacy. Nicholas brings a rare dual perspective: a mechanical engineer turned software leader who spent years in Pittsburgh’s startup ecosystem building mobile manipulation systems, AMRs, and government-funded robotics programs before shifting into healthcare tech. His experience—from garage-stage startups to acquisitions and rebrands—gives him a clear lens on what it takes to scale robots from impressive demos to mission-critical reliability. At Omnicell, he now helps drive software for medication-picking systems, IV-compounding robots, and the next wave of automation designed to return pharmacists and clinicians to the work they trained for: caring for patients. In this conversation, Greg and Nicholas explore: Why hospital pharmacies operate like 24/7 logistics centers—and why automation is overdueThe long, largely unseen history of medication-picking robots (30 years and counting)What the autonomous pharmacy roadmap looks like, and why most hospitals are still at level 1 or 2The hard truth about robotics in healthcare: reliability isn’t a target, it’s a requirementHow systems like Omnicell’s IV compounding and XR2 picking platforms reduce waste, increase traceability, and free clinicians from manual laborLessons from Nicholas’s journey through multiple robotics companies, acquisitions, and pivots—and how software talent evolves within physical systemsWhat he looks for when hiring software engineers in mission-critical environments, including curiosity, culture fit, and growth mindset over rigid credentialsThe promise (and limits) of AI in physical automation, and why general physical intelligence will unlock far more than humanoidsFor anyone building automation in regulated environments—or simply trying to understand how robotics can meaningfully improve patient care—this episode offers a grounded, insightful look at the future of healthcare efficiency. Connect with Nicholas on Linkedin: https://www.linkedin.com/in/nicholaskirsch Connect with Greg on Linkedin: https://www.linkedin.com/in/gregtoroosian

    53 phút
  4. Building the Future of Robotic Workforce Enablement with Richard Petrazzini

    10/12/2025

    Building the Future of Robotic Workforce Enablement with Richard Petrazzini

    In this episode of Machine Minds, we explore what it really takes to build the human infrastructure behind the coming wave of robots. CEO and co-founder Richard Petrazzini joins Greg to unpack how “robotic workforce enablement” can make or break uptime, customer trust, and the long-term success of robotics deployments—especially as robots leave cages, connect to the cloud, and move into human environments. Richard brings an unusually layered background to robotics: he’s a third-generation biochemist who grew up watching labs evolve from manual rabbit and frog testing to fully automated, 10,000-test-per-day facilities. That firsthand view of how healthcare automated over decades now informs how he thinks about robotics support, standards, and scale. After building one of Argentina’s largest labs and co-founding a successful software company, he spent two years doing nothing but researching robotics before launching Robotic Crew, a nearshore “human in the loop” partner for robot fleets. In this conversation, Greg and Richard get into: Why robotics is entering its “lab automation moment” – and what other industries can learn from decades of healthcare and manufacturing automationHow Robotic Crew supports pioneers deploying robots in uncharted territory, from first unit to scaled fleetsThe logic of nearshore support for robots: Latin American talent, daylight operations, and why robotics can’t be treated like asynchronous software outsourcing“Robotears,” tiered support (Tier 1–3 and beyond), and how to build career paths for people who keep robots productive in the fieldThe trade-offs founders face around uptime, ownership of incident data, and when to bring in a partner for supportWhat it feels like when a startup hits real momentum—not hype—and why Richard believes robotics companies will run out of engineers long before they run out of demandA real-world case study improving response and resolution times for autonomous robot kitchens, and what that reveals about process, telemetry, and customer success in roboticsIf you’re deploying robots, building them, or thinking about how to support a growing fleet without burning out your core team, this episode is a deep dive into the future of robotic workforce enablement—and the humans who will keep that future running. Connect with Richard on Linkedin: https://www.linkedin.com/in/rpetrazzini Connect with Greg on Linkedin: https://www.linkedin.com/in/gregtoroosian/

    44 phút
  5. Bridging Hardware Innovation and Business Strategy in Robotics with Milt Walker

    03/12/2025

    Bridging Hardware Innovation and Business Strategy in Robotics with Milt Walker

    In this episode of Machine Minds, we look at what really happens when hardware innovation meets business strategy in robotics. Director of Business Development Milt Walker joins Greg to unpack how manufacturers, startups, and ecosystem players can scale robotics responsibly—without getting stuck in proof-of-concept purgatory or pretending they’re “just” software companies. From functional safety to workforce gaps and reshoring, Milt explores the forces reshaping how robots get built, deployed, and trusted in the real world. Milt brings a rare blend of hands-on engineering, ecosystem building, and strategic thinking. From early days fixing XT and 386 machines in a small-town computer shop, through field roles and leadership at Intel and Sick, to helping seed the Atlanta robotics community with RoboGeorgia, he’s consistently sat at the intersection of technology and partnerships. Now at Next Cobot, he focuses on giving robot builders the safety-critical and control platforms they need so they can innovate faster on what makes their systems unique. In this conversation, Greg and Milt explore: Why “alignment” is Milt’s non-negotiable in partnerships—and how it changes the BD conversationThe shift from customization to configuration as a path to real scalabilityHow mid-market manufacturers and smaller warehouses can approach automation differently from the top 10% of global playersThe growing importance of safety platforms and standards as humanoids and advanced AI move closer to the factory floorWhat it actually looks like to build bridges between Taiwan and US robotics ecosystemsMilt’s moonshot fascination with nano-robotics and “bottom-up” fabricationPractical career advice for engineers and technical leaders who want to move into business development and strategy roles in roboticsIf you’re building robots, selling them, or betting your operations on them, this episode will sharpen how you think about partners, platforms, and the long game of automation. Connect with Milt Walker on Linkedin: https://www.linkedin.com/in/mwalkeriii/ Connect with Greg Toroosian on Linkedin: https://www.linkedin.com/in/gregtoroosian/ Chapters: 2:34 Essential Technology 3:31 Early Career Insights 4:42 Robotics Passion 7:38 Business Development Path 9:58 Atlanta's Robotics Ecosystem 12:37 Joining NexCobot 15:19 Partnership Strategies 16:14 Market Opportunities 18:33 Barriers to Adoption 21:35 Finding the Right Partners 24:15 Successful Collaborations 27:07 Customization vs. Scalability 30:44 Technological Trends 37:07 Standards and Regulations 45:41 Moonshot Ideas 47:06 Advice for Aspiring Professionals 49:21 Reflections on Career Growth

    50 phút
  6. Building Deep Tech Ventures Through Strategic Capital with Oliver Mitchell

    28/11/2025

    Building Deep Tech Ventures Through Strategic Capital with Oliver Mitchell

    What does it take to guide a robotics startup from a napkin sketch to a $775 million exit? Oliver Mitchell, a venture capital partner at FF Venture Capital and author of "A Startup Field Guide in the Age of Robotics and AI" returns to Machine Minds to share hard-won lessons from the trenches of deep tech investing. From the dramatic rise and fall of Webvan to the triumph of Kiva Systems (now Amazon Robotics), Oliver reveals why product-market fit isn't found in the lab - it's discovered in relentless customer conversations. We explore the pivotal mistakes founders make, why pivoting isn't failure but strategy, and how the right cap table can be the difference between scaling and stalling out. Highlights: The Webvan lesson: How a $800M IPO collapsed because marketing never asked customers what they actually wanted... and how Kiva Systems learned from that failure to build the robots that became Amazon Robotics.The 500-customer rule: Why Oliver insists founders speak to hundreds of potential customers before building, and how CIV Robotics pivoted from drones to terrestrial robots by listening to construction giants like Bechtel.Five rules for automation startups: High utilization, 99.9% reliability, clear payback periods, defensible IP, and knowing your low-hanging fruit—Oliver breaks down what separates successful hardware companies from the graveyard.Culture as a competitive moat: Drawing from Netflix's "keeper test" and Pixar's collaborative creative process, Oliver explains why hiring one superstar beats five mediocre players - and why arrogance has no place in a startup.Cap table strategy: Why raising at an inflated valuation can doom your next round, how to price for competitive interest, and when to choose government grants, corporate VCs, or traditional funds.Defense tech is heating up: Oliver's new focus on Israeli technologies emerging from elite military units, the Golden Dome initiative, and why Apptronik's humanoid robots are built contract-first for shipbuilding - not household chores.Oliver's book "A Startup Field Guide in the Age of Robotics and AI" is available on Amazon or at routledge.com (20% off with discount code 25ESA3 - valid 1 July 2025 - 31 December 2025) Connect with Oliver Mitchell on Linkedin: https://www.linkedin.com/in/oliverbmitchell/ Connect with Greg on Linkedin: https://www.linkedin.com/in/gregtoroosian/

    50 phút
  7. Episode 112 | Reinventing Construction with Autonomous Precision | Rishabh Aggarwal

    20/11/2025

    Episode 112 | Reinventing Construction with Autonomous Precision | Rishabh Aggarwal

    Construction is one of the world’s most complex, risk-filled, and operationally fragmented industries — and also one of the last to benefit from automation. At Raise Robotics, CTO Rishabh Aggarwal is helping change that. From capturing diesel soot to turn into ink, to designing CubeSats at NASA, to building autonomous harvesting robots in ag-tech, Rishabh’s journey has always been about one thing: building real technology that solves real problems.   In this episode, he breaks down how Raise Robotics is building a multi-use, autonomous construction robot capable of performing high-precision tasks on the edge of skyscrapers — layout marking, drilling, inspection, and more — all with 1/16-inch accuracy on chaotic, unpredictable job sites.   We explore the technical challenges, the industry dynamics, the hiring realities of early-stage robotics, and the future of “physical AI” as robotics collides with deep learning at industrial scale. ⸻ Highlights •From building off-road race cars to capturing diesel pollution: Rishabh’s early startup experience involved inventing a device that trapped generator soot and converted it into ink — a hands-on lesson in iterative engineering and impact-driven design.   •Learning hard lessons in hardware: While building agricultural robots, a battery fire caused a full site evacuation — shaping Rishabh’s philosophy that startups should buy first, innovate later until product-market fit is clear.   •Why construction needed robotics yesterday: Multi-million-dollar rework, misaligned facades, and error-prone layout marking inspired Raise Robotics to automate tasks that require extreme accuracy — tasks humans aren’t well-suited for on 2,000-foot floors.   •Inside Raise’s autonomous platform: A robot on wheels equipped with long-reach arms, tool-changing capabilities, and precise localization — delivering layout marking, drilling, inspection, and more, while generating detailed QC reports for contractors.   •The toughest technical challenge: Designing a robotic arm that remains rock-solid on the literal edge of a building while working with sub-inch tolerance — in rain, dust, debris, and unpredictable environments.   •Building a high-performing robotics team: Rishabh emphasizes hiring for intent, attitude, and intrinsic motivation, not just technical skill — and why people from big tech increasingly seek startup impact.   •Where robotics is headed next: The rise of “physical AI,” the explosion of better sensors and compute, and the coming wave of human-robot collaboration that replaces cages with perception-driven safety.   •Long-term vision: A multi-industry platform that moves beyond construction into manufacturing, oil & gas, and high-risk industrial environments — wherever a precise, ruggedized robotic teammate is needed.   ⸻ Learn more about Raise Robotics: https://raiserobotics.ai/ Connect with Rishabh Aggarwal: https://www.linkedin.com/in/rish-creator/ Follow the Raise Robotics team on LinkedIn (they post regular updates): https://www.linkedin.com/company/raise-robotics/ Connect with Greg: https://www.linkedin.com/in/gregtoroosian/

    48 phút
  8. Episode 111 | The Coming Shift to Lightweight AI and Global Automation | Peter Haas

    13/11/2025

    Episode 111 | The Coming Shift to Lightweight AI and Global Automation | Peter Haas

    From satellite missions and drone startups to international development work in Haiti, Peter Haas has carved one of the most unconventional and globally minded paths in robotics. Today, he’s combining decades of experience across academia, entrepreneurship, government, and humanitarian work to answer a pivotal question: How can robotics and AI help the half of the world living on less than $5.50 a day? In this episode, Peter shares his journey - from working on NASA’s Gravity Probe B, to co-founding a drone company, to running robotics research at Brown University, to helping grow the Massachusetts robotics ecosystem. Now, as he embarks on a new chapter consulting from a sailboat in the Caribbean, Peter reveals what’s next for robotics, where the biggest opportunities lie, and why building for real-world problems matters more than ever. Highlights: - A career shaped by exploration: Peter’s early days ranged from being a park ranger and attempting a novel in Paris to working on Gravity Probe B, where robot-made gyroscopes sparked his fascination with precision hardware.   - International development meets robotics: A decade in Haiti showed Peter the limitations of traditional manufacturing models — inspiring his mission to use robotics to uplift underserved populations globally.   - The spark moment: Riding in an early Google self-driving car at TED convinced Peter to fully transition back into tech, eventually co-founding a drone company and entering the robotics ecosystem.   - From research to ecosystem building: Peter shares insights from leading Brown University’s Humanities-Centric Robotics Initiative and helping scale Massachusetts’ 500-company robotics cluster.   What’s exciting him now: - Lightweight, non-transformer models (Liquid AI, etc.) enabling powerful AI on resource-constrained robots. - Better teleoperation interfaces and the rise of “robot call centers” that decouple physical labor from geography.   - Ethical & technical challenges: Why cybersecurity is a looming crisis in robotics, and how insecure firmware and exposed ROS systems create real-world risk.   Lessons from the field: - Failure: building a $50K LiDAR drone just before DJI commoditized photogrammetry — and how that mirrors today’s AI landscape. - Success: why startups like SIMPL Automation win by partnering early and commercializing quickly. - Advice for builders & graduates: - Solve real problems for real customers — not abstract robotics challenges. - The integrator gap is massive: new grads with hands-on skills can build careers serving manufacturers who desperately need automation.   Connect with Greg:  https://www.linkedin.com/in/gregtoroosian/ Connect with Peter: https://www.linkedin.com/in/peterhaas-robotics/

    48 phút
5
/5
12 Xếp hạng

Giới Thiệu

Machine Minds - the minds behind the machines! This is the show where we dive deep into the intricate worlds of robotics, AI, and Hard Tech. In each episode, we bring you intimate conversations with the founders, investors, and trailblazers who are at the heart of these tech revolutions. We dig into their journeys, the challenges they've overcome, and the breakthroughs that are shaping our future. Join us as we explore how these machine minds are transforming the way we live, work, and understand our world.