Podcasts about Computer vision

In this episode we dive into Progress ReportsThe ChallengeYou know the moment. That message lands. Your project manager needs a status update on the project and they need it right now. Not in two weeks when it's supposed to happen. Right now.You have an 11,000 activity schedule. A critical path that keeps shifting. A structural steel delay throwing everything off. And zero minutes to spare.Usually this means three hours buried in P6. Copying data to Excel. Building out reports. Attaching baselines, unattaching baselines, running analysis. All just to deliver a simple email.On this episode of Beyond Deadlines, I sat down with Greg Lawton, CEO of Nodes and Links, to test whether a purpose built AI tool could draft that same status email in 60 seconds. Not a general chatbot. A multi agent AI system designed from the ground up to answer scheduling's hardest questions.What we found changed my perspective on what's possible.Check out Nodes & Links here and mention Micah Piippo and this podcast.Continue LearningCheck out our book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Das Wiener Sport-Tech-Startup Zone14 setzt nach einer erfolgreichen Investmentrunde und Forschungsförderungen durch die FFG auf eine konsequente Internationalisierung. Im Talk erklärt Co-Founder Simon Schmiderer, wie das Unternehmen durch eine gezielte Strategie und lokale Partnerschaften den kroatischen Markt erschlossen hat und nun in Bayern expandiert. Durch Automatisierung und Computer Vision will das Startup professionelle Video- und Datenanalyse, die früher dem Spitzensport vorbehalten war, in die Breite des Fußballs sowie in weitere Teamsportarten wie Hockey bringen.Technologisch arbeitet Zone14 intensiv an der Hardware-Unabhängigkeit, um die eigene Analysesoftware künftig auch auf bestehenden Kamerasystemen von Drittanbietern einsetzbar zu machen. Neben dem Wachstum bei Einzelvereinen rücken zunehmend Kooperationen mit Verbänden und gesamten Ligen in den Fokus der Skalierungsstrategie. Für das laufende Jahr evaluiert das Gründerteam zudem eine weitere Finanzierungsrunde im Sommer, um die technologische Entwicklung und den Markteintritt in weitere europäische Regionen zu beschleunigen.

As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte's Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.Featuring:Deborah Golden – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:DeloitteSponsor: Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIUpcoming Events: Register for upcoming webinars here!

AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEF CON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.Featuring:Sean McGregor– LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:AI Verification & Evaluation Research InstituteAI Incident Database38th convening of IAAIBenchRiskState of Global AI Incident ReportingUpcoming Events: Register for upcoming webinars here!

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/419Roman Zhukov - Principal Architect - Security Communities Lead at Red HatDamian Brady - Staff Developer Advocate at GitHubRESOURCESRomanhttps://github.com/rozhukovhttps://www.linkedin.com/in/rozhukovDamianhttps://bsky.app/profile/damovisa.mehttps://hachyderm.io/@damovisahttps://x.com/damovisahttps://github.com/Damovisahttps://www.linkedin.com/in/damianbradyhttps://damianbrady.com.auLinkshttps://www.redhat.com/en/blog/ai-assisted-development-and-open-source-navigating-legal-issuesDESCRIPTIONRoman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development. They discuss how AI tools are transforming developer workflows, making developers about 20% faster on simple tasks while being 19% slower on complex ones.The conversation covers critical topics including code quality and trust, security concerns with AI-generated code, the importance of education and best practices, and how developer roles are shifting from syntax experts to system architects. Both experts emphasize that AI tools serve as amplifiers rather than replacements, with humans remaining essential in the loop for quality, security, and licensing compliance.RECOMMENDED BOOKSPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZAlex Castrounis • AI for People and Business • https://amzn.to/3NYKKToHolden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcxKelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRgLakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0xLakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjPBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Larry Swanson, a knowledge architect, community builder, and host of the Knowledge Graph Insights podcast. They explore the relationship between knowledge graphs and ontologies, why these technologies matter in the age of AI, and how symbolic AI complements the current wave of large language models. The conversation traces the history of neuro-symbolic AI from its origins at Dartmouth in 1956 through the semantic web vision of Tim Berners-Lee, examining why knowledge architecture remains underappreciated despite being deployed at major enterprises like Netflix, Amazon, and LinkedIn. Swanson explains how RDF (Resource Description Framework) enables both machines and humans to work with structured knowledge in ways that relational databases can't, while Alsop shares his journey from knowledge management director to understanding the practical necessity of ontologies for business operations. They discuss the philosophical roots of the field, the separation between knowledge management practitioners and knowledge engineers, and why startups often overlook these approaches until scale demands them. You can find Larry's podcast at KGI.fm or search for Knowledge Graph Insights on Spotify and YouTube.Timestamps00:00 Introduction to Knowledge Graphs and Ontologies01:09 The Importance of Ontologies in AI04:14 Philosophy's Role in Knowledge Management10:20 Debating the Relevance of RDF15:41 The Distinction Between Knowledge Management and Knowledge Engineering21:07 The Human Element in AI and Knowledge Architecture25:07 Startups vs. Enterprises: The Knowledge Gap29:57 Deterministic vs. Probabilistic AI32:18 The Marketing of AI: A Historical Perspective33:57 The Role of Knowledge Architecture in AI39:00 Understanding RDF and Its Importance44:47 The Intersection of AI and Human Intelligence50:50 Future Visions: AI, Ontologies, and Human BehaviorKey Insights1. Knowledge Graphs Combine Structure and Instances Through Ontological Design. A knowledge graph is built using an ontology that describes a specific domain you want to understand or work with. It includes both an ontological description of the terrain—defining what things exist and how they relate to one another—and instances of those things mapped to real-world data. This combination of abstract structure and concrete examples is what makes knowledge graphs powerful for discovery, question-answering, and enabling agentic AI systems. Not everyone agrees on the precise definition, but this understanding represents the practical approach most knowledge architects use when building these systems.2. Ontology Engineering Has Deep Philosophical Roots That Inform Modern Practice. The field draws heavily from classical philosophy, particularly ontology (the nature of what you know), epistemology (how you know what you know), and logic. These thousands-year-old philosophical frameworks provide the rigorous foundation for modern knowledge representation. Living in Heidelberg surrounded by philosophers, Swanson has discovered how much of knowledge graph work connects upstream to these philosophical roots. This philosophical grounding becomes especially important during times when institutional structures are collapsing, as we need to create new epistemological frameworks for civilization—knowledge management and ontology become critical tools for restructuring how we understand and organize information.3. The Semantic Web Vision Aimed to Transform the Internet Into a Distributed Database. Twenty-five years ago, Tim Berners-Lee, Jim Hendler, and Ora Lassila published a landmark article in Scientific American proposing the semantic web. While Berners-Lee had already connected documents across the web through HTML and HTTP, the semantic web aimed to connect all the data—essentially turning the internet into a giant database. This vision led to the development of RDF (Resource Description Framework), which emerged from DARPA research and provides the technical foundation for building knowledge graphs and ontologies. The origin story involved solving simple but important problems, like disambiguating whether "Cook" referred to a verb, noun, or a person's name at an academic conference.4. Symbolic AI and Neural Networks Represent Complementary Approaches Like Fast and Slow Thinking. Drawing on Kahneman's "thinking fast and slow" framework, LLMs represent the "fast brain"—learning monsters that can process enormous amounts of information and recognize patterns through natural language interfaces. Symbolic AI and knowledge graphs represent the "slow brain"—capturing actual knowledge and facts that can counter hallucinations and provide deterministic, explainable reasoning. This complementarity is driving the re-emergence of neuro-symbolic AI, which combines both approaches. The fundamental distinction is that symbolic AI systems are deterministic and can be fully explained, while LLMs are probabilistic and stochastic, making them unsuitable for applications requiring absolute reliability, such as industrial robotics or pharmaceutical research.5. Knowledge Architecture Remains Underappreciated Despite Powering Major Enterprises. While machine learning engineers currently receive most of the attention and budget, knowledge graphs actually power systems at Netflix (the economic graph), Amazon (the product graph), LinkedIn, Meta, and most major enterprises. The technology has been described as "the most astoundingly successful failure in the history of technology"—the semantic web vision seemed to fail, yet more than half of web pages now contain RDF-formatted semantic markup through schema.org, and every major enterprise uses knowledge graph technology in the background. Knowledge architects remain underappreciated partly because the work is cognitively difficult, requires talking to people (which engineers often avoid), and most advanced practitioners have PhDs in computer science, logic, or philosophy.6. RDF's Simple Subject-Predicate-Object Structure Enables Meaning and Data Linking. Unlike relational databases that store data in tables with rows and columns, RDF uses the simplest linguistic structure: subject-predicate-object (like "Larry knows Stuart"). Each element has a unique URI identifier, which permits precise meaning and enables linked data across systems. This graph structure makes it much easier to connect data after the fact compared to navigating tabular structures in relational databases. On top of RDF sits an entire stack of technologies including schema languages, query languages, ontological languages, and constraints languages—everything needed to turn data into actionable knowledge. The goal is inferring or articulating knowledge from RDF-structured data.7. The Future Requires Decoupled Modular Architectures Combining Multiple AI Approaches. The vision for the future involves separation of concerns through microservices-like architectures where different systems handle what they do best. LLMs excel at discovering possibilities and generating lists, while knowledge graphs excel at articulating human-vetted, deterministic versions of that information that systems can reliably use. Every one of Swanson's 300 podcast interviews over ten years ultimately concludes that regardless of technology, success comes down to human beings, their behavior, and the cultural changes needed to implement systems. The assumption that we can simply eliminate people from processes misses that huma...

In dieser Folge ist Andreas Klinger, Gründer und General Partner von PROTOTYPE, zu Gast. Andreas hat tiefgreifende Erfahrungen aus der US-Tech-Szene (u.a. AngelList, Product Hunt, OnDeck) und fokussiert sich heute auf Investments in Europas DeepTech-Sektor. Er spricht über die Herausforderungen des europäischen Startup-Ökosystems, die Notwendigkeit einer paneuropäischen Firmenstruktur (EU Inc.), die spannendsten Technologien im Bereich Robotics und Manufacturing und warum jetzt der beste Zeitpunkt ist, ein Robotics-Startup zu gründen. Andreas gibt zudem Einblicke in seinen Investmentansatz, die größten Probleme Europas und warum er politisches Engagement für essenziell hält, um das europäische Tech-Ökosystem langfristig konkurrenzfähig zu machen. Was du aus der Folge mitnimmst: Europas Herausforderungen im Startup-Bereich: Warum fragmentierte Märkte, fehlende Standards und mangelnde Kapitalstrukturen das Wachstum behindern. EU Inc. als Lösung: Andreas erklärt, wie eine paneuropäische Firmenstruktur das Gründen und Investieren in Europa revolutionieren könnte. Warum DeepTech Europas Stärke ist: Mit einem Fokus auf Robotics, Manufacturing und Frontier Tech hat Europa die Möglichkeit, eine globale Führungsrolle einzunehmen. Tech-Trends der Zukunft: Von autonomen Traktoren bis zu kleinen Roboterzellen für Produktion – Andreas zeigt, wie Fortschritte in Computer Vision, Reasoning und Hardware die Industrie verändern. Warum 2026 der ideale Zeitpunkt für Robotics-Startups ist: Durch technologische Durchbrüche in AI und Manufacturing ist jetzt die perfekte Zeit, um in Robotics einzusteigen. Das Potenzial von Hardware-Startups: Trotz höherer Anfangskosten bieten Hardware-Startups langfristig oft mehr Wettbewerbsvorteile und größere Marktchancen. Andreas' Appell an Gründer: Fokussiere dich auf innovative und unkonventionelle Ideen, die durch technologische Fortschritte möglich geworden sind. ALLES ZU UNICORN BAKERY: https://stan.store/fabiantausch   Mehr zu Andreas: LinkedIn: https://de.linkedin.com/in/andreasklinger  Website: https://www.prototypecap.com/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/  Kapitel: (00:00:00) Einstieg: Europas Rolle in einer globalen Tech-Welt (00:02:37) Die Herausforderungen des europäischen Startup-Ökosystems (00:04:49) Warum paneuropäische Standards fehlen und wie EU Inc. das ändern soll (00:09:19) EU Inc.: Wie eine einheitliche europäische Firmenstruktur Innovation fördern könnte (00:13:00) Vergleich Europa vs. USA: Was macht die USA besser? (00:17:27) Politisches Engagement: Warum Andreas sich für EU Inc. einsetzt (00:20:59) PROTOTYPE: Fokus auf DeepTech, Robotics und Manufacturing (00:26:28) Warum 2026 der beste Zeitpunkt ist, ein Robotics-Startup zu gründen (00:32:12) Wie PROTOTYPE Hardware-Startups unterstützt und finanziert (00:37:16) Sunrise, Voltrack und Sensmoor: Beispiele für spannende DeepTech-Startups (00:44:17) Breakthroughs in Robotics: Von Computer Vision bis zu autonomen Maschinen (00:51:29) Die größten Unterschiede zwischen Software- und Hardware-Startups (00:56:48) Warum Europas Fragmentierung das größte Hindernis bleibt (01:00:00) Abschluss: Chancen für Europäische Startups und Andreas' Appell an Gründer

In this episode we dive into Automated Progress Tracking.The ChallengeWalking the job site with a clipboard. Sitting at a desk while a superintendent reads numbers off an Excel spreadsheet. Logging vague "days remaining" into P6. This is how most teams still update their schedules. It's slow, it's surface level, and it's not grounded in any measurable reality.On the latest episode of Beyond Deadlines, I sat down with Brady Mercer, who leads planning and scheduling at JE Dunn Construction, and Amir Berman , VP of Industry Transformation at Buildots . We went deep on how reality capture technology is changing the way project teams track progress and forecast delays.Continue LearningCheck out our book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of Shell Game, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.Featuring:Evan Ratliff  – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Shell GameUpcoming Events: Register for upcoming webinars here!

Känner du dig stressad över den explosionsartade utvecklingen inom AI? Vibe coding, chatbots, agenter och "Agentic AI" – buzzwordsen är många och det kan vara svårt att veta var man ska lägga sin energi.I det här avsnittet dyker vi ner i hur du kan strukturera ditt lärande. Vi tittar specifikt på Microsofts certifiering Azure AI Engineer Associate (AI-102), inte bara för att ta ett certifikat, utan för att använda det som ett index över vad du faktiskt behöver kunna idag.Oavsett om du är Software Engineer eller Data Engineer så förändras din roll nu. Vi diskuterar varför dessa två roller närmar sig varandra, vikten av att förstå molnet i stort, och varför du måste börja "vibe koda" redan idag.Här är de viktigaste punkterna från avsnittet:Djungeln av nya begreppMånga känner en stress över var man ska börja med AI. Är det chatbots, agenter eller kodning som gäller?Vikten av att hitta en struktur för sitt lärande istället för att hoppa på varje ny trend.Certifiering som vägvisare (AI-102)Varför Microsoft Azure AI Engineer Associate (AI-102) är en utmärkt utgångspunkt.Certifieringen ger en "end-to-end" förståelse för hur man bygger en AI-applikation.Innehåll: Generativ AI, chatbots, AI-agenter och Computer Vision.Kom ihåg: Även om det är ett Microsoft-cert, är kunskapen applicerbar på nästan alla molnplattformar.Råd till specifika rollerFör Software Engineers: Du har redan verktygen (t.ex. GitHub Enterprise). Lär dig behärska Copilot och "vibe coding".För Data Engineers: Bli nyfiken på mjukvaruutveckling. Hur bygger man applikationen som datan ska bo i?Framtidens teamarbeteGränserna suddas ut: Software Engineers och Data Engineers kommer att jobba tätare ihop i teamen framöver.Vikten av att ha en gemensam förståelse för utvecklingsprocessen.Grundkravet: MolnetGlöm inte basen. För att lyckas med AI måste du ha en grundläggande förståelse för Cloud (t.ex. Azure) och de tjänster som möjliggör AI-lösningarna.Vill du veta mer?Läs mer om certifieringen AI-102 och utforska resurserna som nämns i videon för att ta nästa steg i din karriär. https://www.jonasjaani.se

Stundenlanges Klicken, Sortieren und Layouten für ein einziges Fotobuch? Damit ist jetzt Schluss. In dieser Folge von UNF#CK YOUR DATA begrüßt Dr. Christian Krug Tim Schäfer, Team Lead Data & AI bei der ALL IN Group (bekannt durch Marken wie Myposter und Kartenliebe).Tim gibt uns einen exklusiven Einblick hinter die Kulissen eines der spannendsten KI-Projekte im deutschen Mittelstand: den KI-Fotobuch-Generator. Erfahre, wie Computer Vision technische und ästhetische Bildqualität bewertet, warum "Reiseblogs" die besten Lehrer für Storytelling sind und wie es das Team geschafft hat, die Erstellungszeit von über 90 Minuten auf durchschnittlich 21 Minuten zu senken.Die Themen im Überblick:Data-Centric Layouting: Warum man Bilder nicht in Templates pressen sollte, sondern das Layout anhand der Daten (Bilder) bauen muss.Aesthetic Scoring: Wie eine KI lernt, was ein "schönes" Bild ist (Goldener Schnitt, Fokuspunkt, Emotion).Content Moderation & Copyright: Wie Myposter sich gegen "Copycats" und Urheberrechtsverletzungen (z.B. Disney-Lizenzen) mit automatisierten Filtern schützt.Zukunftsblick "Agentic Shopping": Warum Generative Engine Optimization (GEO) das neue SEO für den E-Commerce wird.Eine Folge für alle, die wissen wollen, wie man KI nicht nur als Hype, sondern als echten Wertschöpfungsfaktor in physische Produkte integriert.▬▬▬▬▬▬ Profile: ▬▬▬▬Zum LinkedIn-Profil von Tim: https://www.linkedin.com/in/tim-schaefer/Zum LinkedIn-Profil von Christian: https://www.linkedin.com/in/christian-krug/Christians Wonderlink: https://wonderl.ink/@christiankrugUnf*ck Your Data auf Linkedin: https://www.linkedin.com/company/unfck-your-data▬▬▬▬▬▬ Buchempfehlung: ▬▬▬▬Buchempfehlung von Tim: No Rules Rules - Reed HastingsAlle Empfehlungen in Melenas Bücherladen: https://gunzenhausen.buchhandlung.de/unfuckyourdata▬▬▬▬▬▬ Hier findest Du Unf*ck Your Data: ▬▬▬▬Zum Podcast auf Spotify: https://open.spotify.com/show/6Ow7ySMbgnir27etMYkpxT?si=dc0fd2b3c6454bfaZum Podcast auf iTunes: https://podcasts.apple.com/de/podcast/unf-ck-your-data/id1673832019Zum Podcast auf Deezer: https://deezer.page.link/FnT5kRSjf2k54iib6Zum Podcast auf Youtube: https://www.youtube.com/@unfckyourdata▬▬▬▬▬▬ Merch: ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬https://unfckyourdata-shop.de/▬▬▬▬▬▬ Kontakt: ▬▬▬▬E-Mail: christian@uyd-podcast.com▬▬▬▬▬▬ Timestamps: ▬▬▬▬▬▬▬▬▬▬▬▬▬00:00 Intro & Begrüßung 01:05 Wer ist Tim Schäfer? Wandern, Daten & Gegenwind-Analysen 02:01 Die...

As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.Featuring:Bruce Schneier – XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Schneier on SecuritySponsors:Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIZapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practicalUpcoming Events: Register for upcoming webinars here!

If you enjoy this episode, we're sure you will enjoy more content like this on The Occult Rejects.  In fact, we have curated playlists on occult topics like grimoires, esoteric concepts and phenomena, occult history, analyzing true crime and cults with an occult lens, Para politics, and occultism in music. Whether you enjoy consuming your content visually or via audio, we've got you covered - and it will always be provided free of charge.  So, if you enjoy what we do and want to support our work of providing accessible, free content on various platforms, please consider making a donation to the links provided below.  Thank you and enjoy the episode!Links For The Occult Rejects and The Spiritual Gangsters https://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Cash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejects

If you enjoy this episode, we're sure you will enjoy more content like this on The Occult Rejects.  In fact, we have curated playlists on occult topics like grimoires, esoteric concepts and phenomena, occult history, analyzing true crime and cults with an occult lens, Para politics, and occultism in music. Whether you enjoy consuming your content visually or via audio, we've got you covered - and it will always be provided free of charge.  So, if you enjoy what we do and want to support our work of providing accessible, free content on various platforms, please consider making a donation to the links provided below.  Thank you and enjoy the episode!Links For The Occult Rejects and The Spiritual Gangsters https://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Cash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejects

As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today's black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:Alizishaan Khatri – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here!

Comment l'IA physique et la robotique peuvent-elles transformer l'industrie tout en restant au service des humains ? C'est la question que Marc Blanchon, expert en Computer Vision et IA physique chez Capgemini, explore au quotidien.Dans cet épisode, il explique comment donner des yeux, des bras et des jambes au code pour créer des robots autonomes capables de s'adapter à leur environnement. Marc revient sur des projets concrets : inspection qualité en production, assistance en zones dangereuses, digital twins… et partage sa vision pour l'avenir de la robotique humanoïde.Il évoque également son parcours, de la passion qui l'anime depuis l'enfance aux enjeux stratégiques pour l'Europe : accessibilité, souveraineté et innovation responsable. Un échange passionnant pour comprendre comment la technologie peut transformer l'industrie tout en restant au service des humains.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Kelvin Lwin for their second conversation exploring the fascinating intersection of AI and Buddhist cosmology. Lwin brings his unique perspective as both a technologist with deep Silicon Valley experience and a serious meditation practitioner who's spent decades studying Buddhist philosophy. Together, they examine how AI development fits into ancient spiritual prophecies, discuss the dangerous allure of LLMs as potentially "asura weapons" that can mislead users, and explore verification methods for enlightenment claims in our modern digital age. The conversation ranges from technical discussions about the need for better AI compilers and world models to profound questions about humanity's role in what Lwin sees as an inevitable technological crucible that will determine our collective spiritual evolution. For more information about Kelvin's work on attention training and AI, visit his website at alin.ai. You can also join Kelvin for live meditation sessions twice daily on Clubhouse at clubhouse.com/house/neowise.Timestamps00:00 Exploring AI and Spirituality05:56 The Quest for Enlightenment Verification11:58 AI's Impact on Spirituality and Reality17:51 The 500-Year Prophecy of Buddhism23:36 The Future of AI and Business Innovation32:15 Exploring Language and Communication34:54 Programming Languages and Human Interaction36:23 AI and the Crucible of Change39:20 World Models and Physical AI41:27 The Role of Ontologies in AI44:25 The Asura and Deva: A Battle for Supremacy48:15 The Future of Humanity and AI51:08 Persuasion and the Power of LLMs55:29 Navigating the New Age of TechnologyKey Insights1. The Rarity of Polymath AI-Spirituality Perspectives: Kelvin argues that very few people are approaching AI through spiritual frameworks because it requires being a polymath with deep knowledge across multiple domains. Most people specialize in one field, and combining AI expertise with Buddhist cosmology requires significant time, resources, and academic background that few possess.2. Traditional Enlightenment Verification vs. Modern Claims: There are established methods for verifying enlightenment claims in Buddhist traditions, including adherence to the five precepts and overcoming hell rebirth through karmic resolution. Many modern Western practitioners claiming enlightenment fail these traditional tests, often changing the criteria when they can't meet the original requirements.3. The 500-Year Buddhist Prophecy and Current Timing: We are approximately 60 years into a prophesied 500-year period where enlightenment becomes possible again. This "startup phase of Buddhism revival" coincides with technological developments like the internet and AI, which are seen as integral to this spiritual renaissance rather than obstacles to it.4. LLMs as UI Solution, Not Reasoning Engine: While LLMs have solved the user interface problem of capturing human intent, they fundamentally cannot reason or make decisions due to their token-based architecture. The technology works well enough to create illusion of capability, leading people down an asymptotic path away from true solutions.5. The Need for New Programming Paradigms: Current AI development caters too much to human cognitive limitations through familiar programming structures. True advancement requires moving beyond human-readable code toward agent-generated languages that prioritize efficiency over human comprehension, similar to how compilers already translate high-level code.6. AI as Asura Weapon in Spiritual Warfare: From Buddhist cosmological perspective, AI represents an asura (demon-realm) tool that appears helpful but is fundamentally wasteful and disruptive to human consciousness. Humanity exists as the battleground between divine and demonic forces, with AI serving as a weapon that both sides employ in this cosmic conflict.7. 2029 as Critical Convergence Point: Multiple technological and spiritual trends point toward 2029 as when various systems will reach breaking points, forcing humanity to either transcend current limitations or be consumed by them. This timing aligns with both technological development curves and spiritual prophecies about transformation periods.

#395 - Sponsor Spotlight - RedblockThis episode is sponsored by Redblock. Visit redblock.ai/idac to learn more.Jeff and Jim come to you live from the Gartner IAM Summit in Grapevine, Texas, for a special Sponsor Spotlight with Redblock. They sit down with CEO Indus Khaitan to discuss how Redblock uses AI and computer vision to solve the "last mile" problem in identity management: disconnected applications.Indus explains how Redblock acts as an "agentic" layer, using screen recordings to learn administrative tasks for apps that lack APIs. The conversation covers the origin of the company name, the urgency of securing the "long tail" of applications, and how they build trust and guardrails around AI execution. They also discuss the "DoorDash" analogy for identity fulfillment and wrap up with a fun chat about Indus's passion for flying planes.Connect with Indus: https://www.linkedin.com/in/khaitan/Learn more: redblock.ai/idacConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at [idacpodcast.com](http://idacpodcast.com)Timestamps00:00 Introduction from Gartner IAM Summit00:46 Guest Introduction: Indus Khaitan of Redblock01:40 Indus's Journey into Identity02:41 The Origin of the Name "Redblock"04:20 The Underserved Market: Services vs. Software07:34 The Urgency of Securing Disconnected Apps09:19 Why Traditional IGA and PAM Aren't Enough11:35 The DoorDash Analogy: Where Redblock Fits14:30 What Makes Redblock Unique? (Agentic Process Automation)16:15 Trusting AI with Security Tasks18:50 Onboarding Apps via Video Recording21:23 Deployment: Running Air-Gapped on Customer Cloud22:17 Handling UI Changes and "Full Self-Driving" Analogy25:40 Integration with SailPoint and Governance Tools27:13 Speed of Integration: Days vs. Years32:00 How the "Headless Browser" Works33:35 Limitations: Web Apps vs. Thick Clients36:58 Redblock's 2025 Milestones and Future Outlook39:48 Call to Action: Solving Disconnected Apps40:27 Impressions of the Gartner IAM Summit44:26 Are We in an AI Bubble?46:46 Indus's Hobby: Flying PlanesKeywordsIDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Redblock, Indus Khaitan, AI, Artificial Intelligence, IAM, Identity and Access Management, Disconnected Apps, Agentic AI, Computer Vision, Gartner IAM Summit, RPA, IGA, Cybersecurity

In this episode we dive into [Insert Challenge]The ChallengeYou are the owner on a large scale data center project. Construction is underway. Out of nowhere, your generators are now three months late.You had about a month of float built in. But that still leaves a two month delay staring you in the face.The stakes? About 10 to 15 million per month in construction overheads. Another 5 to 10 million in lost revenue. Plus liquidated damages if you miss your delivery date.The megawatts need to come online. People need to watch their cat videos. What do you do?Continue LearningCheck out our book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

The dreaded missing indicator—you've trained on it, created systems for it, and yet trays still reach the OR without them. What if technology could catch that mistake before the tray ever leaves your department? On this episode of Beyond Clean, Gregory Warino, Director of Central Sterile Processing at Mercy Health, shares how his team used AI to tackle missing CIs across three facilities. From getting skeptical staff on board to watching the technology actually catch missing indicators before trays leave assembly, Gregory breaks down the real story behind implementing AI in SPD—from what it cost, how long it took, and whether the tech lived up to the hype. If missing indicators are a pain point in your department or you're curious about what AI means for your SPD's workflows, this episode has the answers you need! After finishing this podcast episode, earn your 1 CE credit immediately by passing the short quiz linked here: https://www.flexiquiz.com/SC/N/episode31-02 Visit our CE Credit Hub at https://www.beyondcleanmedia.com/ce-credit-hub to access this quiz and over 350 other free CE credits. #BeyondClean #SterileProcessing #Podcast #Season31 #UnderPressure #Indicator #CIs #Workflows #AI #Technology

In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!

פרק מספר 508 של רברס עם פלטפורמה, שהוקלט ב-30 בדצמבר 2025, קצת לפני שנגמרה השנה וקצת אחרי שבאמת התחיל סוג של חורף - אורי ורן לוגמים תה ומארחים את מישה פיינשטיין מחברת Bria AI כדי לדבר על איך עושים תמונות בצורה שבאמת התכוונתם (וגם קצת על חורף).

Darin Brannan, CEO & co-founder of Terminal Industries joined Grayson Brulte on The Road to Autonomy podcast to discuss transforming the logistics yard into a fully automated environment using computer vision and agentic AI. Unlike legacy approaches that rely on RFID tags or manual "clipboard and radio" processes, Terminal Industries utilizes a proprietary computer vision platform trained on real world data, including weather occlusions, dirt, and glare to achieve high-accuracy tracking without requiring perfect conditions. By digitizing the yard through an agentic workflow approach, the company is moving beyond simple point solutions to building a unified operating system that connects the warehouse to transportation, effectively enabling the transition from manual oversight to autonomous execution.Episode Chapters0:00 Playing Chess2:35 Yard Operating Systems7:15 Yard Bottlenecks 9:33 Traditional Yard and Warehouse Operations15:15 Computer Vision 19:05 Building LLM Models24:37 Data Control Centers27:43 Automating Yards36:34 Changing Consumer Habits39:03 Autonomous Trucks and Yards40:07 Future of Terminal IndustriesRecorded on Monday, December 15, 2025--------About The Road to AutonomyThe Road to Autonomy provides market intelligence and strategic advisory services to institutional investors and companies, delivering insights needed to stay ahead of emerging trends in the autonomy economy™. To learn more, say hello (at) roadtoautonomy.com.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Read our Macrovey deal analysis (closed) on KingscrowdRobotics hype is everywhere—but who actually makes robots work on real warehouse floors? In this episode, Chris sits down with Macrovey Director of Business Development Matt Labinski to unpack how Macrovey designs fully autonomous, material-handling systems that act like a warehouse “Robotics OS.” We start with what Macrovey is and isn't (00:03)—the company doesn't manufacture robots, it integrates best-in-class OEMs through proprietary orchestration software. Matt explains the model (00:32): up-front design + install and recurring software/maintenance—plus a Robots-as-a-Service option that lowers CapEx. We dive into who buys (06:28): e-commerce, 3PLs, pharma, defense (U.S. Air Force) and even smaller 10k–100k sq ft facilities. Category context (07:31): warehouse robotics penetration is still surprisingly low; Macrovey targets the SMB/mid-market others ignore. We cover why OEMs and warehouses need an integrator (09:09), the sales cycle and deal sizes (12:22)—from $50k pilots to $3M+ programs—and how modular, mobile systems (25:03) move with demand. Finally, we hit the AI layer (27:31): machine learning that optimizes slotting, picking, and vision-based QA. If you want exposure to warehouse autonomy without betting on a single robot, Macrovey's middle-layer, recurring-revenue approach may be the de-risked way to play it.

As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.Featuring:Jason Beutler – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

In this episode, Rick speaks with Lexi Lutz, Director of Marketing at Plainsight, a company focused on making computer vision accessible for developers and operations teams. Lexi outlines how Plainsight simplifies data prep, model training, and deployment so organizations in manufacturing, logistics, retail, and CPG can extract real value from their visual data. She explains how teams use visual inspection and anomaly detection to eliminate defects, improve accuracy, and scale dependable automation. Lexi also shares how developers and directors of operations discover Plainsight, the marketing tactics that drive conversions, and the role of SEO, heat mapping, and analytics in refining user journeys. She closes with insights on learning, community-driven research, and staying sharp in a fast-moving technical space.

Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. Featuring:Ramin Mohammadi – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Register for upcoming webinars here!

Our latest guest is Maya Ackerman — AI‑creativity researcher, professor, and author of Creative Machines: AI, Art & Us (Wiley), as well as founder of WaveAI and LyricStudio (View recent colab with NVidia).Maya's perspective is not just insightful — it's a necessary reality check for anyone building AI today. She challenges the comforting narrative that AI is a neutral tool or a natural evolution of creativity. Instead, she exposes a truth many in tech avoid: AI is being deployed in ways that actively diminish human creativity, and businesses are incentivized to accelerate that trend.Her research shows how overly aligned, correctness-first models flatten imagination and suppress the divergent thinking that defines human originality. But she also shows what's possible when AI is designed differently — improvisational systems that spark new directions, expand a creator's mental palette, and reinforce human authorship rather than absorbing it.This episode matters because Maya names what the industry refuses to admit. The problem is not “AI getting too powerful,” it's AI being used to replace instead of elevate. Businesses are applying it as a cost-cutting mechanism, not a creative amplifier. And unless product leaders intervene, the damage to creativity — and to the people who rely on it for their livelihoods — will become irreversible.Listen to the Episode on Spotify, Apple Podcasts, YoutubeWe're engineering a global creative regression and pretending we aren't.Generative AI could radically expand human imagination, but the systems we deploy today overwhelmingly suppress it. The literature is unequivocal:* AI boosts creative output only when tools are intentionally designed for exploration, not correctness.* When aligned toward predictability, AI drives conformity and sameness.* The rise of “AI slop” is not an insult — it's the logical outcome of misaligned incentives.* New evidence shows that AI-assisted outputs become more similar as more people use the same tools, reducing collective creativity even when individual outputs look “better.”* Homogenization is measurable at scale: marketing, design, and written content generated with AI converge toward the same tone and syntax, lowering engagement and cultural diversity.* Repeated reliance on AI weakens human originality over time — users begin outsourcing ideation, losing confidence and capacity for divergent thought.Resources:* The Impact of AI on Creativity: https://www.researchgate.net/publication/395275000_The_Impact_of_AI_on_Creativity_Enhancing_Human_Potential_or_Challenging_Creative_Expression* Generative AI and Creativity (Meta-Analysis): https://arxiv.org/pdf/2505.17241* AI Slop Overview: https://en.wikipedia.org/wiki/AI_slop* Generative AI Enhances Individual Creativity but Reduces Collective Novelty:https://pmc.ncbi.nlm.nih.gov/articles/PMC11244532/* Generative AI Homogenizes Marketing Content:https://papers.ssrn.com/sol3/Delivery.cfm/5367123.pdf?abstractid=5367123* Human Creativity in the Age of LLMs (decline in divergent thinking):https://arxiv.org/abs/2410.03703 BOTTOM LINE: If your product optimizes for correctness, brand safety, and throughput before originality, you are actively contributing to the global collapse of creative quality. AI must be designed to spark—not sanitize—human imagination.Thanks for reading Design of AI: Strategies for Product Teams & Agencies! This post is public so feel free to share it.Award-winning creative talent is disappearing at scale, and the trend is accelerating.The global creative workforce is shrinking faster than at any time in modern history. Companies claim AI is “enhancing creativity,” yet most restructuring reveals the opposite: AI is being deployed primarily to cut labor costs. In general, layoff announcements top 1.1 million this year, the most since 2020 pandemic.What's happening now:* Omnicom announced 4,000 job cuts and shut multiple agencies — Reuters reporting: https://www.reuters.com/business/media-telecom/omnicom-cut-4000-jobs-shut-several-agencies-after-ipg-takeover-ft-reports-2025-12-01/* WPP, Publicis, and IPG executed multi-round layoffs across design, writing, strategy, and production.* Digiday interviews confirm AI is used mainly to eliminate junior and mid-level creative roles: https://digiday.com/marketing/confessions-of-an-agency-founder-and-chief-creative-officer-on-ais-threat-to-junior-creatives/The most important read on the future & destruction of agencies comes from Zoe Scaman. She always brings a powerful and necessary mirror to the shitshow that is modern corporate world. Read it here:Freelancers and independent creatives are being hit even harder:* UK survey: 21% of creative freelancers already lost work because of AI; many report sharply lower pay — https://www.museumsassociation.org/museums-journal/news/2025/03/report-finds-creative-freelancers-hit-by-loss-of-work-late-pay-and-rise-of-ai/* Illustrators, motion designers, and concept artists report declining commissions as clients adopt Midjourney-style pipelines.* Voice actors face shrinking bookings due to synthetic voice models.* Stock photography, stock audio, and digital concepting have been heavily cannibalized by tools like Midjourney, Runway, and Suno.The research into AI shows even deeper risks:* The Rise of Generative AI in Creative Agencies — confirms agencies deploy AI for margin protection rather than creative innovation: https://www.diva-portal.org/smash/get/diva2%3A1976153/FULLTEXT03.pdf* IFOW/Sussex study shows AI exposure correlates with lower job quality and salary stagnation for creatives: https://www.ifow.org/news-articles/marley-bartlett-research-poster---ai-job-quality-and-the-creative-industriesBOTTOM LINE: Creative roles are vanishing because AI is being optimized for efficiency rather than imagination. If we want creative industries to survive, AI must expand human originality — not replace the people who produce it.:** Creative roles are vanishing because AI is being deployed for efficiency rather than imagination. If we want a future with vibrant creative industries, AI must be designed to amplify human originality — not replace it.Please participate in our year-end surveyWe are studying how AI is restructuring careers, skills, and expectations across product, design, engineering, research, and strategy.Your responses influence:* the direction of Design of AI in 2025,* what questions we investigate through research,* what frameworks we build to help leaders adapt—and protect—their teams.Take the survey: https://tally.so/r/Y5D2Q5Understand your cognitive style so you know how to best leverage AI to boost youThe Creative AI Academy has developed as an assessment tool to help you understand your creative style. We all tackle problems differently and come up with novel solutions using different methods. Take the ThinkPrint assessment to get a blueprint of how you ideate, judge, refine, and decide. Knowing this will help you know in which ways AI can boost —rather than undermine— your originality. For me it was powerful to see my thinking style mirrored back at me. It gave structure to what enhances and undermines my creativity, meaning I better understand what role (if any) AI should play in expanding my creative capabilities. Thank you to Angella Tapé for demonstrating this tool and presenting the perfect next evolution of Dr. Ackerman's lessons about needing AI to be a creative partner, not cannibalizer. BOTTOM LINE: Without cognitive self-awareness, you're not “partnering” with AI—you're surrendering your creative identity to it. Take the ThinkPrint assessment and redesign your workflow around human-led, AI-supported thinking.We are trading away human intellect for productivity—and the safety evidence is damning.The research is now impossible to ignore: AI makes us faster, but it makes us worse thinkers.A major multi-university study (Harvard, MIT, Wharton) found that users with AI assistance worked more quickly but were “more likely to be confidently wrong.”Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4573321This pattern shows up across cognitive science:* Stanford and DeepMind researchers found that relying on AI “reduced participants' memory for the material and their ability to reconstruct reasoning steps.”Source: https://arxiv.org/abs/2402.01832* EPFL showed that routine LLM use “led to measurable declines in writing ability and originality over time.”Source: https://arxiv.org/abs/2401.00612* University of Toronto researchers warn that repeated LLM use “narrows human originality, shifting users from creators to evaluators of machine output.”Source: https://arxiv.org/abs/2410.03703In other words: we are outsourcing the exact cognitive muscles that make human thinking valuable — creativity, reasoning, comprehension — and replacing them with pattern-matching convenience.And while we weaken ourselves, the companies building the systems shaping our cognition are failing at even the most basic safety expectations.The AI Safety Index (Winter 2025) reported:“No major AI developer demonstrated adequate preparedness for catastrophic risks. Most scored poorly on transparency, accountability, and external evaluability.”Source: https://futureoflife.org/ai-safety-index-winter-2025/A companion academic review by Oxford, Cambridge, and Georgetown concluded:“Safety commitments across leading LLM developers are inconsistent, largely self-regulated, and often unverifiable.”Source: https://arxiv.org/pdf/2508.16982We are weakening human cognition while trusting companies that cannot prove they are safe. There is no version of this trajectory that ends well without deliberate intervention.Resources:* The Hidden Wisdom of Knowing in the AI Era: * A Critical Survey of LLM Development Initiatives: https://arxiv.org/pdf/2508.16982* Future of Life AI Safety Index (Winter 2025): https://futureoflife.org/ai-safety-index-winter-2025/* Supporting Safety Documentation (PDF): https://cdn.sanity.io/files/wc2kmxvk/revamp/79776912203edccc44f84d26abed846b9b23cb06.pdfBOTTOM LINE: Tools that reduce effort but not capability are not accelerators—they are cognitive liabilities. Product leaders must design for mental strength, not dependency.Schools are producing prompt operators, not original thinkers.Education systems are bolting AI onto decades-old learning models without rethinking what learning is. Instead of cultivating reasoning, imagination, and embodied intelligence, schools are teaching children to rely on AI systems they cannot critique.Resources:* UNESCO: AI & the Future of Education: https://www.unesco.org/en/articles/ai-and-future-education-disruptions-dilemmas-and-directions* Beyond Fairness in Computer Vision: https://cdn.sanity.io/files/wc2kmxvk/revamp/79776912203edccc44f84d26abed846b9b23cb06.pdf* AI Skills for Students: https://trswarriors.com/ai-education-preparing-students-future/BOTTOM LINE: If we do not redesign education, we will create a generation of humans who can operate AI but cannot outthink, challenge, or transcend it.Featured AI Thinker: Luiza JarovskyLuiza Jarovsky is one of the most essential voices in AI governance today. At a time when global AI companies are actively pushing to loosen regulation—or bypass it entirely—Luiza's work provides a critical counterbalance rooted in human rights, safety, law, and long-term societal impact.Why her work matters now:* She exposes the structural risks of deregulated AI adoption across governments and corporations.* She documents how weak or performative governance puts vulnerable communities at disproportionate risk.* She offers practical frameworks for ethical, enforceable AI oversight.Follow her work:BOTTOM LINE: If you build or deploy AI and you are not following Luiza's work, you are missing the governance lens that will define which companies survive the coming regulatory wave.Recommended Reality ChecksTwo critical signals from the field this week:* Ethan Mollick on the accelerating automation of creative workflowshttps://x.com/emollick/status/1996418841426227516AI is quietly outperforming human creative processes in categories many believed were “safe.” The speed of improvement is outpacing organizational awareness.* Jeffrey Lee Funk on markets losing patience with empty AI narrativeshttps://x.com/jeffreyleefunk/status/1996612615850676703Investors are separating real AI value from hype. Companies promising transformation without measurable impact are being punished.BOTTOM LINE: The creative and product landscape is shifting beneath our feet. Those who don't adapt—intellectually, strategically, and operationally—will lose relevance.Final Reflection — Legacy Is a Product DecisionEverything in this newsletter points to a single, unavoidable truth:AI does not define our future. The product decisions we make do.We can build tools that:* expand human originality,* strengthen cognitive resilience,* elevate creative careers,* and produce a generation capable of thinking beyond the machine.Or we can build tools that:* replace the creative class,* hollow out human judgment,* weaken educational outcomes,* and leave society dependent on systems controlled by a handful of companies.As product leaders—designers, strategists, researchers, technologists—we decide which future gets built.Legacy isn't abstract. It's the cumulative effect of every interface we design, every shortcut we greenlight, every metric we reward, and every model we deploy.If you want to build AI that strengthens humanity instead of diminishing it, reach out. Let's design for human outcomes, not machine efficiency.arpy@ph1.ca This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit designofai.substack.com

Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiFramer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

In this episode we dive into building a construction scheduling team.The ChallengeA general contractor hands you the keys. They say, "Set up a planning and scheduling group for us. Do whatever you want." Where do you start?That's the hypothetical posed to Franco Giacuinto, CEO and founder of Outbuild. The status quo is familiar: no company-wide standards, a mix of P6, Excel, and whiteboards, and owners making decisions off monthly PDF updates. Franco's answer challenges everything about how most GCs approach scheduling today.Continue LearningCheck out our book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Over the past few years, the conversation about autonomy in agtech has moved from “but, does it work?” to “how can I get started?” This is a significant shift, indicative of autonomous machinery becoming a fully commercial category in agriculture.In this episode, Matthew Pryor, Founding Partner at Tenacious Ventures, discusses his recent observations at the Gatton Agtech Showcase, in QLD, Australia, highlighting the move towards production-ready autonomous machinery. He discusses how structure is now emerging in the Australian agtech autonomy market, including in sales and distribution, with a mix of companies from established equipment dealers to venture backed scale-ups. He predicts growth in this market to only compound in the coming years.Matthew and Sarah are joined by Shane Thomas, founder of Upstream Ag Insights, to also dive into recent agtech news and market trends.They discuss:The role of traditional dealership networks in an autonomous futureThe potential misuse of the term ‘autonomous'Regional variations in market dynamics around autonomy between Australia, the US, and CanadaThe forces reshaping crop protection, including the rise of non-chemical solutions such as laser weeding and electric weed controlUseful Links:Carbon Robotics raises $20m to build ‘another AI robot'?, AgFunder News Monarch Tractor sued over tractors that were 'unable to operate autonomously', TechCrunchIs Farmers' Traditional Loyalty to Ag Equipment Colors Fading?, Farm EquipmentThe Four Forces reshaping the crop protection industry and what comes next, Upstream Ag InsightsThe Generics Revolution and the New Economic Geography of the Global Pesticide Industry, Journal of Agrarian ChangeThe Race to Define the Future of Ag Retail with Shane Thomas of Upstream Ag Insights, Agtech So What?Getting into the Weeds: AI, Computer Vision, and the Future of Non-Chemical Weeding, Agtech So What?Investment Notes: Azaneo, Tenacious VenturesDisrupting the AgTech Ecosystem with Ron Adner, Agtech So What?Vavilovian Mimicry, BionityFor more information and resources, visit our website. The information in this post is not investment advice or a recommendation to invest. It is general information only and does not take into account your investment objectives, financial situation or needs. Before making an investment decision you should seek financial advice from a professional financial adviser. Whilst we believe the information is correct, we provide no warranty of accuracy, reliability or completeness.[0007:25] The role of dealerships in an autonomous future[00:17:45] The forces reshaping crop protection[00:25:20] Weeds adapting to non-chemical crop solutions

This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust.  Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.Featuring: Jerod Santo – LinkedInAdam Stacoviak – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XSponsors: Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at Miro.com.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Register for upcoming webinars here!This week we have extended show notes below from Chris!Swarming & Fully Autonomous Multi-Agent UxV SystemsChris's Definition of Swarming (anchor link in show notes)Chris's definition of Swarming“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”© 2025 Chris BensonConceptual FoundationsSwarm Robotics – WikipediaHigh-level overview of swarm robotics as decentralized robot collectives.https://en.wikipedia.org/wiki/Swarm_roboticsSwarm Robotic Platforms – WikipediaSurvey of hardware platforms used in swarm robotics research.https://en.wikipedia.org/wiki/Swarm_robotic_platformsSwarm Intelligence – WikipediaBroader algorithms and theory behind collective intelligence (beyond robots).https://en.wikipedia.org/wiki/Swarm_intelligenceAnt Robotics – WikipediaNature-inspired “ant-like” robotics as a special case of swarm robotics.https://en.wikipedia.org/wiki/Ant_roboticsOpen Research & Multi-Robot Resources (Stepping-Stones Toward True Swarms)Programming Multiple Robots with ROS 2 (online book)Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).https://osrf.github.io/ros2multirobotbookSimulation with ROS 2 & Gazebo (ROS 2 Humble tutorial)Official tutorial on connecting ROS 2 to Gazebo simulation.https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.htmlSpawning Multiple Robots in Gazebo with ROS 2Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987Getting Hands-On: Consumer Robotics, ROS 2 & GazeboROS 2 (Robot Operating System 2)Official ROS 2 Documentation – Humble (LTS)Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.https://docs.ros.org/en/humbleROS 2 Installation Guide (Humble)Step-by-step install on supported platforms.https://docs.ros.org/en/humble/Installation.html“From Zero to Robotics Hero: A Beginner's Guide to ROS 2” (article)Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87baROS 2 Tutorial for Beginners (2025 guide)Up-to-date intro that walks you from install to simulating your first robot in 2025.https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.htmlGazebo SimulationGazebo Sim – Official SiteModern Gazebo (Ignition) simulator; models, worlds, and docs.https://gazebosim.orgGetting Started with Gazebo (Docs)Official “start here” guide for using Gazebo and Gazebo Fuel assets.https://gazebosim.org/docs/latest/getstartedClassic Gazebo Tutorials (still useful for fundamentals)https://classic.gazebosim.org/tutorialsmicro-ROS (ROS 2 on Microcontrollers)micro-ROS – ROS 2 for MicrocontrollersOfficial site for running ROS 2 on tiny embedded boards.https://micro.ros.orgmicro-ROS GitHub OrganizationRepositories, examples, and tutor...

Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.Featuring:Krish Ramineni – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Fireflies AISponsors:Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at [Miro](https://miro.com).Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at [framer.com/design](https://www.framer.com/design/) with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, they have long been laying the groundwork for the innovations transforming industries today.With the recent launch of Marble, the first product from their company World Labs, we are revisiting this conversation to explore the ideas that started it all. World Labs is focused on spatial intelligence, building Large World Models that can perceive, generate, and interact with the 3D world. Marble brings that vision to life, allowing anyone, from individual creators to major platforms, to generate 3D scenes directly from text or image prompts and turn complex 3D creation into a simple, creative process.In this episode, a16z general partner Martin Casado talks with Fei-Fei and Justin about the journey from early AI winters to the rise of deep learning and multimodal AI. From foundational breakthroughs like ImageNet to the cutting-edge realm of spatial intelligence, they discuss the evolution of the field and what is next for innovation at World Labs. Timecode:0:00 – The Next Decade of AI2:45 – Origins: Backgrounds of the Founders6:50 – The Rise of Deep Learning & ImageNet8:00 – Algorithmic Unlocks: Compute, Data, and Supervised Learning12:00 – From Predictive to Generative AI16:20 – The Journey to Spatial Intelligence18:35 – Defining Spatial Intelligence21:15 – 3D Data, Computer Vision, and Breakthroughs23:15 – Reconstruction vs. Generation in Computer Vision24:45 – Spatial Intelligence vs. Language Models29:00 – Applications: Virtual, Augmented, and Physical Worlds39:55 – Building World Labs: Team and Vision41:55 – The North Star: Measuring Success in Spatial Intelligence Resources:Learn more about World Labs: https://www.worldlabs.aiLearn more about Marble: https://Marble.WorldLabs.aiFind Fei-Fei on Twitter: https://x.com/drfeifeiFind Justin on Twitter: https://x.com/jcjohnssFind Martin on Twitter: https://x.com/martin_casado Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Waymo's VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.Featuring:Drago Anguelov – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Waymo ResearchNew Insights for Scaling Laws in Autonomous DrivingAI in MotionSponsors: Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Register for upcoming webinars here!

In this episode we dive into Change ManagementThe ChallengeYou're six months into a billion dollar project. Change orders are stacking up. Your schedule is morphing weekly. The owner wants a meeting. And you're buried in spreadsheets trying to figure out what changed, when it changed, and who changed it. Sound familiar? This is the reality for most construction schedulers. Schedule change management shows up as the leading cause of construction disputes every single year, costing teams millions. But here's the thing. The best schedulers don't run from change. They use it to their advantage. In this week's Beyond Deadlines podcast episode, we break down exactly how to manage schedule change like a pro.Continue LearningCheck out our book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Dan and Chris unpack whether today's surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Powell says that, unlike the dotcom boom, AI spending isn't a bubble: ‘I won't go into particular names, but they actually have earnings'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

Computer vision is transforming retail stores, but most pilots fail to scale beyond proof of concept. In this Omni Talk Ask An Expert episode, hosts Chris Walton and Anne Mezzenga sit down with Joe Serrano (Global Managing Partner, Retail & CPG at HTEC) and Daniel Horton (VP of Engineering & Delivery at HTEC) to reveal the playbook for successful computer vision deployments. Learn why 75% of retail AI pilots fail to scale, which use cases deliver the fastest ROI, and how to evaluate your existing infrastructure before investing in new technology. Joe and Dan share hard-earned lessons about everything from camera requirements and network readiness to privacy concerns and customer trust. Key topics covered: • Why demo accuracy rarely matches real-world performance • How to leverage 60-80% of existing cameras with minor augmentation • The critical difference between customer-facing vs. operational AI deployments • Smart carts, inventory visibility, shrink control, and shelf availability use cases • Privacy, GDPR, and building customer trust with in-store AI • Build vs. buy decisions for computer vision infrastructure Whether you're piloting your first computer vision project or scaling existing implementations, this conversation provides actionable insights to help you avoid costly mistakes and deliver measurable ROI. Join HTEC for their January Webinar: Computer Vision in Action: Cutting Shrink, Boosting Efficiency, and Powering Smarter Stores with Edge AI https://www.brighttalk.com/webcast/21011/656661?utm_source=brighttalk-sharing&utm_medium=web&utm_campaign=linkshare #RetailTech #ComputerVision #ArtificialIntelligence #RetailInnovation #StoreOperations #RetailAI #OmniChannelRetail #InventoryManagement #RetailTransformation #SmartStores

Dr. Hoffman continues his conversation with Marina Pavlovic Rivas, co-founder and CEO of Eli Health.

Marina Pavlovic Rivas, co-founder and CEO of Eli Health, reveals a revolution in personal health monitoring through advanced wearable devices. They discuss the journey from primitive step counters to sophisticated devices, such as continuous glucose monitors (CGMs) and the world's first instant hormone monitoring system by Eli Health. The conversation delves into the new cortisol testing kit from Eli Health, exploring its implications for understanding stress, sleep, metabolism, and overall health. Rivas explains the process of using the device, its integration with a smartphone, and how AI helps interpret the hormone data for actionable insights. Future plans for Eli Health's hormone monitoring technology, including progesterone and testosterone, are also discussed, offering a glimpse into the evolving landscape of self-monitoring and personalized health.

Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.Featuring: Jared Zoneraich – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:PromptLayerUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

This week on If/Then, we're sharing an episode of What's Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they're trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li's vision continues to shape the way we teach machines to see, learn, and collaborate with us.More Resources: • Fei Fei Li • Stanford Institute for Human-Centered Artificial Intelligence (HAI) • ImageNet • What's Your Problem?If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.Chapters: (00:00:00) Introducing “What's Your Problem?” Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.00:00:45 — What Is Computer Vision? Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.00:03:18 — Real-World Uses of AI Vision Li shares examples from healthcare, robotics, and environmental science.00:05:06 — Discovering the Science of SeeingHow human vision research inspired Li's lifelong “north star” in AI.00:09:56 — Creating ImageNet Li builds a massive image database that transforms computer vision research.00:13:29 — Defining 30,000 Visual Concepts How cognitive science helped shape ImageNet's massive scale.00:16:41 — Building the Dataset by HandLi's team uses global crowdsourcing to label millions of images.00:19:38 — The 2012 Breakthrough Jeff Hinton's neural network shatters records and sparks the deep learning era.00:22:19 — Data Meets Hardware Li reflects on how big data and GPUs converged to power modern AI.00:24:55 — Lightning Round with Fei-Fei Li Quick insights on resilience, mentorship, and the future of human-AI collaboration.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Less is More: Recursive Reasoning with Tiny NetworksResearchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Fabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiMiro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at miro.comUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

Apple's reported acquisition of Prompt.ai's team/IP drew thoughts from the MacVoices panel about what it could mean for computer vision across Face ID, HomeKit, a rumored HomePod with a screen, and even a home robot. Chuck Joiner, Dave Ginsburg, Brian Flanigan-Arthurs, Jim Rea, Marty Jencius, and Norbert Frassa debate Apple's new $2M bug bounty—promise vs. payout history—then note Piper Sandler data showing 87% of teens own iPhones. Finally, they discuss Apple's lawsuit against John Prosser over iOS 26 leaks and the risks of ignoring the case.  MacVoices is supported by SurfShark. Go to https://surfshark.com/macvoices or use code macvoices at checkout to get 4 extra months of Surfshark VPN! Show Notes: Chapters: [0:00] Opening, topics overview [1:36] Apple's reported Prompt.ai acquisition: team vs. IP [2:24] Where vision could land: Face ID, HomeKit, HomePod with screen, home robot [5:55] New $2M bug bounty: incentives, trust, and payout skepticism [10:29] Arms race: tougher exploits, higher rewards [11:12] Sponsor message – Surfshark [12:49] Teens & iPhones: 87% ownership, upgrade intent [16:48] Apple vs. John Prosser lawsuit over iOS 26 leaks [20:14] Public interest vs. leaking: ethics and consequences [21:31] Closing notes Links: Apple Close to Deal to Acquire Team and Tech from Computer Vision Startup Prompt AI https://www.mactrast.com/2025/10/apple-close-deal-to-acquire-team-and-tech-from-computer-vision-startup-prompt-ai/ Apple Announces $2 Million Bug Bounty Reward for the Most Dangerous Exploits https://www.wired.com/story/apple-announces-2-million-bug-bounty-reward/ Survey: Eighty-seven percent of teens report they own an iPhone https://appleworld.today/2025/10/survey-eighty-seven-percent-of-teens-report-they-own-an-iphone/ Here's the Latest on Apple Suing Jon Prosser Over iOS 26 Leaks https://www.macrumors.com/2025/10/11/apple-jon-prosser-lawsuit-latest-updates Guests: Brian Flanigan-Arthurs is an educator with a passion for providing results-driven, innovative learning strategies for all students, but particularly those who are at-risk. He is also a tech enthusiast who has a particular affinity for Apple since he first used the Apple IIGS as a student. You can contact Brian on twitter as @brian8944. He also recently opened a Mastodon account at @brian8944@mastodon.cloud. Norbert Frassa is a technology “man about town”. Follow him on Twitter and see what he's up to. David Ginsburg is the host of the weekly podcast In Touch With iOS where he discusses all things iOS, iPhone, iPad, Apple TV, Apple Watch, and related technologies. He is an IT professional supporting Mac, iOS and Windows users. Visit his YouTube channel at https://youtube.com/daveg65 and find and follow him on Twitter @daveg65 and on Mastodon at @daveg65@mastodon.cloud. Dr. Marty Jencius has been an Associate Professor of Counseling at Kent State University since 2000. He has over 120 publications in books, chapters, journal articles, and others, along with 200 podcasts related to counseling, counselor education, and faculty life. His technology interest led him to develop the counseling profession ‘firsts,' including listservs, a web-based peer-reviewed journal, The Journal of Technology in Counseling, teaching and conferencing in virtual worlds as the founder of Counselor Education in Second Life, and podcast founder/producer of CounselorAudioSource.net and ThePodTalk.net. Currently, he produces a podcast about counseling and life questions, the Circular Firing Squad, and digital video interviews with legacies capturing the history of the counseling field. This is also co-host of The Vision ProFiles podcast. Generally, Marty is chasing the newest tech trends, which explains his interest in A.I. for teaching, research, and productivity. Marty is an active presenter and past president of the NorthEast Ohio Apple Corp (NEOAC). Jim Rea built his own computer from scratch in 1975, started programming in 1977, and has been an independent Mac developer continuously since 1984. He is the founder of ProVUE Development, and the author of Panorama X, ProVUE's ultra fast RAM based database software for the macOS platform. He's been a speaker at MacTech, MacWorld Expo and other industry conferences. Follow Jim at provue.com and via @provuejim@techhub.social on Mastodon. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

In this episode of Crazy Wisdom, host Stewart Alsop talks with Rob Meyerson, co-founder and CEO of Interlune and former president of Blue Origin, about building the next phase of the space economy—from mining Helium-3 on the Moon to powering quantum computing and future fusion reactors on Earth. They explore the science behind lunar regolith, cryogenic separation, robotic excavation, and how private industry is rekindling the optimism of Apollo. Rob also shares lessons from scaling Blue Origin and explains why knowledge management and intuition matter when engineering at the edge of possibility. Follow Rob and Interlune on LinkedIn, X (Twitter), and Instagram.Check out this GPT we trained on the conversationTimestamps00:00 Stewart Alsop welcomes Rob Meyerson, who introduces Interlune's mission to extract Helium-3 from the Moon and explains its origins in the Apollo samples.05:00 Meyerson describes how lunar regolith traps solar wind gases, the role of ilmenite, and how spectrometry helps identify promising Helium-3 sites.10:00 Discussion shifts to Helium-3's commercial potential, the Department of Energy's isotope program, and its link to tritium decay and nuclear stockpiles.15:00 Meyerson connects Helium-3 to quantum computing, explaining cryogenic dilution refrigeration and the importance of ultra-cold temperatures.20:00 They explore cryogenic engineering, partnerships with Vermeer for lunar excavation, and developing solar wind–implanted regolith simulants.25:00 Rob reflects on his 15 years at Blue Origin, scaling from 10 to 1,500 people, and the importance of documentation and knowledge retention.30:00 The talk turns to lunar water, propellant production, and how solar and nuclear power could support a permanent in-space economy.35:00 Meyerson outlines robotic harvesting, lunar night hibernation, and AI applications for navigation, autonomy, and resource mapping.40:00 The conversation broadens to intuition in engineering, testing in lunar gravity, and lessons from Apollo's lost momentum and industrial base.50:00 Rob closes with optimism for private industry's role in rebuilding lunar infrastructure and how Interlune fits into humanity's return to the Moon.Key InsightsHelium-3 as a Lunar Resource: Rob Meyerson explains that Helium-3, a rare isotope on Earth but abundant on the Moon due to billions of years of solar wind implantation, could power future fusion energy and enable cleaner, more efficient energy sources. Interlune's mission is to commercialize this resource, beginning with robotic prospecting and extraction missions.The Science of Lunar Regolith: The Moon's regolith—the dusty surface soil—acts as a natural collector of solar wind gases like hydrogen, helium, and helium-3. Meyerson describes how Interlune identifies promising mining locations using data from NASA's Lunar Reconnaissance Orbiter and the presence of ilmenite, a titanium-rich mineral that traps more Helium-3 than other regions.Cryogenics and Quantum Computing: Helium-3 is essential for dilution refrigerators that cool quantum computers to millikelvin temperatures, colder than any place in the universe. Meyerson highlights a new commercial contract with Bluefors, a Finnish cryogenics leader, to supply Helium-3 starting in 2028—proving the economic case for lunar resource extraction.Fusion Energy and Strategic Supply: While today's fusion reactors rely on tritium and deuterium, Helium-3 could be the next-generation fuel—safer and more efficient. With tritium decay from aging nuclear stockpiles as the only current terrestrial source, Interlune's lunar supply could fill a critical gap for future clean-energy systems.Building Lunar Infrastructure: Interlune's long-term vision extends beyond Helium-3 to producing rocket propellant, metals, and industrial materials on the Moon. By developing cryogenic separation and excavation systems, they aim to enable a self-sustaining “in-space economy” where resources mined in space fuel space-based operations.AI and Autonomy in Space Mining: Artificial intelligence and advanced sensing will guide robotic harvesters on the Moon's harsh terrain. AI will also analyze imagery and soil data to map Helium-3 concentrations and manage knowledge across missions, turning data into operational insight.Lessons in Leadership and Scale: Drawing from his 15 years leading Blue Origin, Meyerson stresses the importance of documentation, mentorship, and maintaining technical continuity as teams grow. He contrasts Apollo's lost potential with today's resurgence of private space ventures, expressing deep optimism for U.S. innovation and the rebirth of lunar industry.

As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.Featuring:Donato Capitella – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:ReversecSponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

This episode was recorded in Fort Wayne, Indiana, during the 2025 Tri-State Dairy Conference.Dr. Schwanke begins by describing how we can shape cattle personalities through handling and management and adapting our strategies to accommodate different personality traits so as to not cause undue stress. Personality traits are consistent across time and context, which is nuanced by the other animals in a particular group. There are five generally recognized personality traits: boldness, exploration, activity, sociability and aggressiveness. Some debate exists as to whether dominance should be considered a sixth trait or if it's just an outcome of the other five. (5:43)Dr. Schwanke's research focused mainly on how cows react to specific stressors, such as adapting to an automated milking system. In a robotic system, cows who are more independent, explorative and bold are more likely to do well. Some diversity is good because it can help to minimize long-term antagonistic interactions in a group. If we have cows that are very similar to each other, it will take longer for them to establish a social hierarchy.  (10:05)The panel discusses where the research is in regard to on-farm applicability and potential genetic components of personality traits. In the future, Dr. Schwanke envisions automated assessments of cow personality through computer vision cameras in the barn, fed into an algorithm that creates a personality ranking of cows based on their behaviors. She also notes personality traits can help predict a cow's coping style: proactive, reactive and intermediate. Proactive cows are more bold, explorative and aggressive. They thrive in predictable, stable conditions. Reactive cows are more fearful, less active and less dominant. They typically do better than proactive cows in unpredictable or changing environments because they're better able to modify their behavior to the environment they find themselves in. (14:09)The panel talks about future research goals in this area, including transition to automated milking systems, modifying feed management for behavioral and nutritional requirements and impacts of commingling stress. The guests also explore behavioral research in calves and brainstorm about future research with this age group, as well as talk about potential implications of making the wrong selection decisions for personality traits. (20:08)Are there things dairy producers could do to condition calves to be more adaptable to an automated milking system later in life? If a calf is reared in an automated feeding system, do they adapt to an automated milking system more easily? We don't have the research yet to answer these questions, but they're great questions. The panel also talks about how to scale up personality trait information to large herds, how precision feeding systems and personality traits might interact and how machine learning and computer vision technology can automate personality trait assessments. (28:46)Panelists share their take-home thoughts. (35:02)Please subscribe and share with your industry friends to invite more people to join us at the Real Science Exchange virtual pub table.  If you want one of our Real Science Exchange t-shirts, screenshot your rating, review, or subscription, and email a picture to anh.marketing@balchem.com. Include your size and mailing address, and we'll mail you a shirt.

Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground.  They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.Featuring:Chelsea Linder – LinkedIn Daniel Whitenack – Website, GitHub, XLinks: TechpointSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!

Episode Summary:In this episode, Eric Weiss sits down with Andy Ballester, serial entrepreneur and co-founder of GoFundMe and EyePop.ai, to unpack the highs, lows, and lessons of building category-defining startups. Andy shares how an early college job at a software startup sparked his passion for technology, why he bootstrapped GoFundMe into a global fundraising platform, and what it took to scale from two founders to a household brand that processed over a billion dollars in giving.Andy also reveals the insights behind his newest venture, EyePop.ai, a computer vision platform making AI accessible to developers and businesses across industries. He explains how modern visual intelligence can turn everyday images and video into actionable data—from analyzing pickleball swings to inspecting drone footage of rooftops—and why speed, lean teams, and clear product design are essential in today's fast-moving AI landscape.Listeners will learn:How GoFundMe evolved from a simple savings concept into the world's leading personal fundraising site The technical and UX hurdles of early fintech and how Andy's team overcame them Why bootstrapping worked for GoFundMe but venture funding is key for AI startups The critical role of co-founders, emotional resilience, and a “stoic CEO” mindset in surviving the startup grind Practical advice for founders on team building, product iteration, and staying ahead of AI's rapid innovation curve Whether you're a first-time founder, a product leader, or an investor tracking the next wave of AI infrastructure, Andy's journey offers a masterclass in startup strategy, growth, and perseverance. Don't forget to subscribe to the Chaos to Clarity Podcast for more invaluable episodes to help you grow your business and stay ahead of the curve!To reach out to Eric, visit https://chaostoclarity.io/

David Bau is Assistant Professor at Northeastern University and Director of the National Deep Inference Fabric, researching the emergent internal mechanisms of deep generative networks in both Natural Language Processing and Computer Vision.  In this week's conversation, Yascha Mounk and David Bau explore the technology behind AI, why it's concerning that so many computer scientists don't understand how it works, and how to embed morals, values, and alignment. If you have not yet signed up for our podcast, please do so now by following this link on your phone. Email: leonora.barclay@persuasion.community Podcast production by Mickey Freeland and Leonora Barclay. Connect with us! Spotify | Apple | Google X: @Yascha_Mounk & @JoinPersuasion YouTube: Yascha Mounk, Persuasion LinkedIn: Persuasion Community Learn more about your ad choices. Visit megaphone.fm/adchoices