Podcasts about conversational ai

For years, enterprise AI conversations have centred on chatbots, search assistants, and tools that respond when asked, but that era is ending. A new class of AI system, one that reasons, plans, and takes autonomous action, is moving from the research lab into live production environments. For C-suite leaders, the question is no longer if AI will arrive in their organisations, but whether those organisations are ready for it.In a recent episode of Tech Transformed, host Christina Stathopoulos, founder of Dare to Data, sat down with Cathal McCarthy, Chief Executive Officer of Kore.ai, and Dan Leiva, founder of CXamplify and author of Amplified, to lay out what this shift actually means in practice and why most enterprises are less prepared than they think.Have a look at Artemis, the agent platform from Kore.ai, or you can book a demo.From AI Pilot Projects to ProductionMost large organisations have run AI pilots. Far fewer have moved those pilots into meaningful production at scale. McCarthy and Leiva argue that this gap is not primarily a technology problem. It is a governance and accountability problem.Conversational AI systems, which are the kind that answer questions or generate text, operate within a relatively contained risk envelope. A poorly worded response can be corrected, and a hallucinated answer can be flagged. The stakes, whilst real, are manageable.Agentic AI operates differently. These systems do not simply respond to prompts. They assess situations, make decisions, trigger actions, and in some cases instruct other AI agents or software systems to carry out tasks on their behalf. When something goes wrong in an agentic workflow, the consequences can cascade quickly, across processes, data, customer interactions, and operational outputs.This is why the move from pilot to production represents a fundamentally different risk conversation. As McCarthy puts it, "technology is now a decision-making actor." That framing has significant implications for how enterprises structure ownership, oversight, and accountability around their AI deployments.What Agentic AI Actually Means for Your OrganisationThe term “agentic AI” is often used loosely, so it is important to clarify what it actually means. An agentic system can:Break a complex goal down into sub-tasks without human prompting at each step.Use tools, APIs, databases, and other software to execute those tasks.Adapt its approach based on intermediate results.Operate across extended time horizons without continuous human input.This is meaningfully different from a large language model that generates a report when asked, or a copilot that suggests the next line of code. Agentic systems take initiative, which means it's both their value and their risk.Leiva's book, Amplified, explores how organisations can harness this capability without losing control of it. The central argument is that autonomy is not a binary switch; it is a dial. Organisations need to be deliberate about where they set that dial across use cases, risk profiles, and stages of deployment maturity.A Framework for Smarter AI DecisionsOne of the most practical tools discussed in the episode is the three-class decision model. Rather than treating all AI decisions as equivalent, it asks leaders to classify decisions by consequence and reversibility.The first class covers routine, low-stakes decisions where agentic systems can operate with high autonomy, like scheduling, data routing, and standard customer queries. The second class covers decisions with moderate consequences, where human review should be triggered before action is taken. The third class covers high-stakes decisions where human authority must remain the final step.Mapping AI deployments to this framework is the foundation of a defensible governance structure, one that can satisfy board scrutiny and regulatory requirements simultaneously. It also forces a critical question: who owns the decision about which class a given AI action falls into? That ownership question, the guests argue, is where most enterprise AI programmes currently have a blind spot.The Leadership ImperativeWith that said, the organisations that will benefit most from the agentic era are not necessarily those with the most sophisticated technology. As Leiva writes in Amplified, they are the ones who have thought most carefully about how to deploy that technology in a way that is accountable, adaptable, and aligned with how their people actually work.Boards are already asking harder questions about AI risk. Leaders who can answer them confidently because they have built the governance frameworks and defined the accountability structures will hold a material advantage. For leaders ready to move beyond the pilot stage, McCarthy and Leiva offer grounded guidance. Listen for more insights, and if you have any questions, feel free to get in touch with them directly.Connect with the guests:Cathal McCarthy — LinkedIn | Kore.aiDan Leiva — LinkedIn | CXamplifyFurther reading: Amplified by Dan Leiva — available on AmazonHave a look at Artemis, the agent platform from Kore.ai, or you can book a demoTakeawaysThe shift from conversational to agentic AIEnterprise AI governance and accountabilityOperationalising AI at scale and risk managementBuilding trust and transparency in autonomous AI systemsTurning AI experimentation into measurable business outcomesChapters00:00 – Welcome to the Agentic Era02:33 – The Shift in AI Utilisation06:47 – From Pilots to Production: Understanding Risks10:10 – Gaps in AI Readiness13:11 – Rethinking Governance and Accountability16:50 – Operationalising Agentic Systems20:09 – Applying Agentic Workflows in Practice22:43 – Actionable Advice for Leaders

Conversational AI is increasingly being used as a source of emotional support, even though general-purpose chatbots were never designed for that purpose. Concerns about AI's mental health impact, up to and including suicides, have moved onto the public policy agenda. Munmun De Choudhury, who has been studying the intersection of digital technology and mental health longer than almost anyone, walks through what researchers know, what they don't, and why the answers keep moving.  The conversation centers on the difficulty of governing technologies whose capabilities and patterns of use are both changing every few weeks. De Choudhury invokes the cautionary tale of Google Flu Trends as a warning: any framework that assumes user behavior is fixed will eventually break. She argues that the harms and benefits of conversational AI are not just person-dependent but task-dependent, which makes general-purpose chatbots fundamentally harder to evaluate than the narrow medical AI systems researchers built for decades. She lays out a multi-stakeholder agenda to address AI's mental health risks, and argues that foundation models need to take into account principles from psychotherapy.  Dr. Munmun De Choudhury is the J.Z. Liang Professor in the School of Interactive Computing at Georgia Tech, where she founded and directs the Social Dynamics and Wellbeing Lab (SocWeB). She is one of the most cited researchers in digital mental health and is widely credited with pioneering the computational use of social media data to study mental health outcomes. She co-leads the Patient-Centered Care Delivery research pillar at the Children's Healthcare of Atlanta Pediatric Technology Center, serves on the advisory board for the Australian government's eSafety panel, and was inducted into the SIGCHI Academy in 2024. Her honors include the 2023 SIGCHI Societal Impact Award and the 2021 ACM-W Rising Star Award.  Transcript Benefits and Harms of Large Language Models in Digital Mental Health From Lived Experience to Insight: Unpacking the Psychological Risks of Using AI Conversational Agents 

How Agents Are Driving Operational Efficiency in B2B Commerce Featuring Derek Neff, Studio Science Derek Neff discusses how agentic commerce is transforming B2B buying through conversational AI, predictive purchasing, and operational efficiency. He shares how brands are using intelligent commerce experiences to simplify reordering, improve customer service, and create faster, more personalized buying journeys for dealers, service teams, and customers alike.   Manufacturing's Digital Future: How Agents and LLMs Are Transforming B2B Featuring Shane Smyth, Saltbox Shane Smyth explores how manufacturers are modernizing legacy commerce systems with AI-powered search, self-service buying experiences, and intelligent product configuration. The conversation highlights how agents can simplify complex B2B processes such as warranty claims, replacement parts, and post-purchase support while helping manufacturers deliver more efficient, scalable customer experiences.   The Concierge Experience: Agentic Commerce in Luxury and B2B Featuring Trish Myers, Account Executive with Salesforce Trish Myers explains how agentic commerce is creating personalized, concierge-style shopping experiences across both luxury retail and B2B commerce. She shares how AI agents are helping brands accelerate the path from product discovery to purchase through conversational recommendations, cross-channel support, and more intuitive customer interactions. Show Highlights: Agentic commerce and the future of AI-driven buying experiences Conversational AI for B2B ordering and customer service Manufacturing digital transformation with intelligent commerce platforms Search-first commerce experiences powered by LLMs and agents Warranty claims, replacement parts, and post-purchase automation Personalized luxury and retail shopping with AI concierge experiences Unified data, operational efficiency, and scalable commerce innovation Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review," then a quick line with your favorite part of the episode. It only takes a second, and it helps spread the word about the podcast. *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.  

Partner with Jay! https://www.jayschwedelson.com/contactㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out June 9, 2026). All net proceeds are donated to The V Foundation for Cancer Research—let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206ㅤCheck out Jay's YOUTUBE Channel: https://www.youtube.com/@schwedelsonCheck out Jay's TIKTOK: https://www.tiktok.com/@schwedelsonCheck Out Jay's INSTAGRAM: https://www.instagram.com/jayschwedelson/ㅤMASSIVE thank you to our Sponsor, CallRail!CallRail is the AI-powered lead intelligence platform that helps marketers prove exactly what's driving results. With CallRail, you can connect every call, text, chat, and form submission directly to the campaign that generated it so you finally know what's working and where to double down.Plus, with built-in AI conversation intelligence, CallRail analyzes your customer conversations, captures leads 24/7, and gives you deeper insights into what your prospects actually care about.If you're tired of guessing about your marketing ROI and want real data behind your campaigns, CallRail has you covered.Start a Free Trial Here: https://www.callrail.com/dothisㅤIf your attribution model is telling you to dump everything into branded paid search, congratulations, you've just found a fast way to flatline your pipeline. Laura Beussman, CMO and CRO at CallRail, sat down with Jay Schwedelson to push back on the idea that attribution is dead, and to make the case that the real problem isn't measurement, it's marketers oversimplifying it. Spoiler: she has the patent and the 20 million call dataset to back it up.ㅤConnect with Laura Beussman on LinkedIn and try CallRail free at callrail.com/dothis to see how attribution, call tracking, and conversational AI actually fit together for your business.ㅤBest Moments:(01:43) Why "attribution is dead" is mostly clickbait dressed up as a hot take(03:17) The trap of trusting a beautiful chart that tells you to spend on one channel(04:29) Self-reported attribution and why CallRail holds the patent on it(06:26) Conversational AI now picks up call sentiment, next steps, and coaching moments(08:00) What it actually feels like owning marketing and revenue under one job title(13:29) LLM traffic is still tiny but growing fast, and the discovery game has changed(15:21) The hide-in-your-room versus go-to-the-dinner debate at industry events

The following article of the E-Commerce & Retail industry is: “Conversational AI: Pushing the Limits of Customer Service” by Thiago Goncalves, Executive Director LATAM, Blip.

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

Youth mental health is increasingly shaped by how teens use AI for emotional support outside clinical care. Cinnamon Bloss, Ph.D., UC San Diego, explains how growing use of conversational AI reflects major gaps in care and changing preferences for support. Bloss examines the appeal of AI's accessibility and nonjudgmental responses, concerns about replacing human connection, and the need to monitor harms, helping clarify how AI fits into a fast-changing mental health landscape. She also points to the importance of listening to young people, improving AI credibility and transparency, expanding safety and privacy discussions in schools, and preparing clinicians and online safety workers for this new reality. This work helps explain why teens are turning to AI and points toward a more thoughtful balance between safety and access to mental health support. Series: "Exploring Ethics" [Health and Medicine] [Science] [Show ID: 41366]

We hit the floor at the European Chatbot and Conversational AI Summit in Edinburgh with a mic and a simple rule: answer a question, then leave one for the next person. What unfolds is a chain of questions and answers from practitioners at Lebara, Lloyds Banking Group, Uber, ElevenLabs, Carrefour, Virgin Money, Tesco, Jaja Finance and more. The result is an organic, unscripted snapshot of what the conversational AI community is actually thinking about right now.Topics spiral from enterprise AI adoption and the talent crunch, through agentic banking and agent metrics, to some surprisingly personal territory, including AI for mental health support, cardiac research and simplifying the mundane parts of everyday life.Chapters00:00 Intro02:24 Chris Miles, Group Product Lead - Chatbots & AI at Lebara03:12 Kellin Sjoerds, AI Engineer at Essent & Willeke van de Wetering, AI Engineer at Essent04:39 Andrew Lavis, Chatbot Analyst at Virgin Money05:08 Mathias Fanschek, Head Retail Strategy & Digital Transformation at Raiffeisen Bank International AG06:12 Andrei Spiridon, Head Retail Strategy & Business Transformation at Raiffeisen Conversational AI Lab08:20 Alan Nichol, CTO at RASA09:44 Adrian Matei, AI Product Manager at Jaja Finance11:00 Nikoletta Ventoura, Senior AI Conversation Designer at Tesco11:37 Maria Guermonprez, CX and Product Manager at Spix Industry12:19 Damien Bird, Cloud Solution Architect at Microsoft13:12 Gabriele Iuculano, Senior Test Platform Engineer, Schindler Group & Salvatore Raieli, Senior Data Scientist at Oncodesign14:53 Jared Browne, Group Head of AI Governance & Privacy at Fexco15:32 Laura Brady, GTM at ElevenLabs16:20 Laura Ball, Global AI CX GTM and Sales Lead at Zoom16:50 Sabrina Brunner, Technical Lead at Allianz Direct18:10 Lorraine Burrell, Conversation Design Lead at Lloyds Banking Group19:00 Jana Richter, Executive VP AI and Innovation at NFON AG19:44 Daniel Orenes Ferrandez, Senior Manager - Customer Experience at Uber21:06 Guillaume Blaquiere, Group Data Architect at Carrefour21:42 Laura Macleod, Business Applications, Centre of Excellence Lead at Virgin Money21:57 Kane's closing thoughtsShow notesFind out more about The European Chatbot & Conversational AI Summit: https://theeuropeanchatbot.comFollow Kane on LinkedIn: https://www.linkedin.com/in/kanesimmsTake our updated AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audioSubscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeWSubscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms Hosted on Acast. See acast.com/privacy for more information.

What if the expertise that built foundation models could reshape how you think about AI's future? In this episode, Benjamin sits down with Soumya Batra, founder and CEO of WisePort AI and former safety lead on Llama 2 and Llama 3 at Meta, to explore how foundation models evolved from traditional NLP, why post-training holds the highest leverage for safety and controllability, and what natively agentic AI means for the next frontier of AI development. Whether you're curious about the model training lifecycle or wondering what comes after large language models, this conversation unpacks the technical strategies and vision shaping tomorrow's AI systems.

Healthcare call centers are still growing — even as patient portals improve. Patients call to confirm appointments they already know about, reschedule across multiple departments, and check on billing. They wait on hold. They get transferred. They hang up.In this episode of Health Reimagined, host Jon Myer (Powered by Myer Media) sits down with Jeff from SoundHound AI to unpack what agentic AI actually means for healthcare, why voice is the future of the patient experience, and how health systems are using conversational AI to handle complex multi-step tasks — without a single hold time or transfer.

Healthcare call centers are still growing — even as patient portals improve. Patients call to confirm appointments they already know about, reschedule across multiple departments, and check on billing. They wait on hold. They get transferred. They hang up.In this episode of Health Reimagined, host Jon Myer (Powered by Myer Media) sits down with Jeff from SoundHound AI to unpack what agentic AI actually means for healthcare, why voice is the future of the patient experience, and how health systems are using conversational AI to handle complex multi-step tasks — without a single hold time or transfer.

In this episode of Talk Commerce, Isaac Morey hosts a conversation recorded directly from the floor of Shoptalk in Las Vegas. The discussion features Dan Wagner, the founder and CEO of Rezolve AI, who provides insights into the rapidly evolving landscape of retail technology. The pair explores the essential role of agentic commerce, addressing how businesses must adapt to the shifting expectations of consumers who demand more conversational and intuitive shopping experiences.Key TakeawaysUrgency of Adoption: Businesses must integrate agentic commerce immediately because AI-driven search agents will exponentially increase the volume of traffic directed toward e-commerce sites.The Hallucination Barrier: Standard large language models often struggle with accuracy, making them unfit for commerce; Rezolve AI focuses on proprietary technology to ensure reliability.Conversational Search: The traditional method of filtering through hundreds of products is becoming obsolete, replaced by natural language queries that mimic a helpful in-store sales assistant.Infrastructure Requirements: Preparing for the future requires robust database architecture capable of handling trillions of interactions rather than mere billions.Personalization Standards: The necessity for consumers to navigate to a second page of search results indicates a failure in current site personalization technology.Episode SummaryThe conversation opens with an assessment of the current state of e-commerce. Dan explains that the industry stands on the precipice of a massive transformation driven by AI agents. Unlike manual shopping, where a consumer might visit a handful of websites, future AI agents will interrogate hundreds of sites simultaneously to deliver precise product recommendations. Dan notes, "The volume of search activity that e-commerce is going to see is going to go through the roof very fast." He warns that businesses failing to prepare for this influx risk site failure and lost revenue.When discussing the reliability of AI, Dan addresses the industry-wide challenge of hallucinations. He highlights that standard models are not designed for the 24/7, high-stakes environment of active retail sales. Rezolve AI has dedicated nine years to developing a solution that mitigates these errors, positioning the company as a leader in creating technology that is truly fit for commercial purposes.The dialogue shifts toward the changing behavior of shoppers. Dan argues that the traditional, static e-commerce model is nearing its end of life. Consumers prefer natural, conversational interactions, similar to speaking with a human salesperson. He states, "The progression of a natural interaction with sales agents, Gen AI salespeople, is human nature." By focusing on this shift, Rezolve AI aims to replace inefficient search filters with experiences that present the user with only the most relevant options, eliminating the need for page-two browsing.Looking forward, Dan emphasizes the importance of infrastructure. Rezolve AI has invested in distributed database architectures to manage the projected transition from billions to trillions of interactions. This commitment ensures that their partners remain functional even as traffic patterns become significantly more complex.Final ThoughtsThe insights shared by Dan Wagner illuminate a critical transition period for retailers. Companies that prioritize conversational engagement and robust backend infrastructure today will likely define the commerce landscape of tomorrow. As the industry shifts toward these automated, intelligent systems, leaders must ask themselves if they are building a strategy that treats AI as a novelty or as the core engine of their growth, proving that in this new era, your strategy must be truly .Connect with Dan on LinkedIn: https://www.linkedin.com/in/dan-wagner/This has been produced in cooperation with Content Cucumberhttps://www.contentcucumber.com/Follow Talk Commerce on your favorite platform:YouTube: https://www.youtube.com/@talkcommerceBluesky: https://bsky.app/profile/talkcommerce.bsky.socialApple Podcasts: https://podcasts.apple.com/us/podcast/talk-commerce/id1561204656Spotify: https://open.spotify.com/show/7Alx6N7ERrPEXIBb41FZ1nTwitter: @talkingcommerceLinkedIn: https://www.linkedin.com/company/talk-commerceFacebook: https://www.facebook.com/talkingcommerceWebsite: https://talk-commerce.com/

Check out host Bidemi Ologunde's new show: The Work Ethic Podcast, available on Spotify and Apple Podcasts.Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde sits down with Chris Rhyss Edwards, a writer, doctoral researcher, former Australian Army combat engineer, and the founder of FOLQ.ai to explore why so many people are turning to AI chatbots for emotional support before they ever speak to another human. Drawing from lived experience with PTSD and his research into conversational AI and mental wellbeing, Chris examines a difficult but timely question: what does it say about our world when people feel safer talking to machines than to each other? Together, they unpack silence, stigma, loneliness, trust, and the rise of AI as a "first listener." Is this a breakthrough in access and support, or a warning sign about the systems and relationships failing us? And how can AI help without replacing the human connection people still need most?Sponsors and partners:Promeed: 100% mulberry silk pillowcases and bedding that feel incredibly soft, stay breathable, and are naturally gentle on hair and skin.SurviveX: professional-grade FSA/HSA eligible first aid and preparedness kits designed in Virginia, USA and produced in an FDA-registered facility.Alison US CA: Alison is the world's largest free online learning and skills-training platform, helping more than 50 million learners in 193+ countries build career-ready skills with 6,000+ free courses, certificates, and diplomas.eSign (iOS only): eSign is a clean, privacy-first document-signing app that works entirely on your device, letting you sign PDFs, DOCX files, images, and scans, edit and assemble pages, and export crisp 300 DPI PDFs in seconds, without accounts, cloud uploads, or compromising sensitive documents.Support the show

Send us Fan MailLet's hear from the team behind Assistable.AI to break down how AI is transforming the way businesses operate. From answering calls and booking appointments to following up with leads automatically, this technology is changing the game for small and growing companies!

Learn why scaling AI is as much a human challenge as it is a technological one. Stefano Puntoni, Co-Director of Wharton Human-AI Research and Professor at The Wharton School, examines the limits of data-driven decision making in the age of AI and why insights so often fail to translate into action. He breaks down the psychology behind AI resistance and outlines the leadership and change management strategies needed to turn AI potential into real organizational impact. Key Moments: Why More Data Doesn't Lead to Better Decisions (02:26): Stefano challenges the assumption that smarter algorithms automatically produce smarter decisions. He argues that decision quality depends on rigorous conceptual thinking before turning to data. Without clearly defining objectives, alternatives, and success criteria, analytics efforts rarely translate into meaningful action. Conversational AI and the Lowering of the Cost of Action (07:26): Stefano explains how conversational AI brings decision makers closer to data by reducing friction. By lowering the cost of experimentation, AI enables managers to test hypotheses in real time instead of waiting days for analysis. This shift moves organizations from analysis paralysis to faster, more confident action. Rethinking Your Role in the Age of AI (17:16): For professionals navigating disruption, Stefano outlines two paths forward. One is becoming a complement to AI by upskilling and using the technology as a productivity multiplier. The other is pivoting toward skills AI is less likely to replace, such as strategy, orchestration, and human judgment. The AWARE Framework: Pairing Technical Rollout with Human Rollout (22:41): Stefano introduces the AWARE framework to help leaders anticipate and manage the human reactions to AI transformation. He argues that every technical implementation must be matched with structured communication, identity support, and organizational alignment. Without this dual-track approach, even well-designed AI systems can fail to gain traction. Change Management, AI Literacy, and the Gap in Organizational Readiness (31:11): Only a small percentage of organizations have formal AI change management programs. Stefano questions whether companies are truly prepared for large-scale AI transformation. He emphasizes that AI literacy, leadership accountability, and structured change management will determine whether AI investments translate into sustained performance. Key Quotes: “ The leaders need to know why we are doing AI. AI is not a strategy; AI is just a tool. So what is it that we're trying to achieve?” - Stefano Puntoni “ I think the problem is that technology is almost like taking all the oxygen from the room. There's so much attention and urgency around the tech itself that we often forget the people around it.” - Stefano Puntoni “You don't want to be the substitute to the technology because if that is what you do, then there's no future. But if you're a complement, the technology might be a multiplier of your productivity.” - Stefano Puntoni Mentions Decision-Driven Analytics: Leveraging Human Intelligence to Unlock the Power of Data The Wall Street Journal: The Boss Has a Message: Use AI or You're Fired 2025 Report Accountable Acceleration: Gen AI Fast-Tracks Into the Enterprise How AI Affects Our Sense of Self Why Gen AI Feels So Threatening to Workers Conversational AI: The Next Frontier of Digital Platform Monetization Guest Bio  Stefano Puntoni is the Sebastian S. Kresge Professor of Marketing at The Wharton School. Prior to joining Penn, Stefano was a professor of marketing and head of department at the Rotterdam School of Management, Erasmus University, in the Netherlands. He holds a PhD in marketing from London Business School and a degree in Statistics and Economics from the University of Padova, in his native Italy. His research has appeared in several leading journals, including Journal of Consumer Research, Journal of Marketing Research, Journal of Marketing, Nature Human Behavior, and Management Science. He also writes regularly for managerial outlets such as Harvard Business Review and MIT Sloan Management Review. Most of his ongoing research investigates how new technology is changing consumption and society, including how humans are adopting and evolving with AI. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

On this episode of Destination on the Left, I talk with Dan Flores, Head of Tourism at Satisfi Labs, all about using AI in the travel industry. We discuss how conversational artificial intelligence can help drive revenue and operational efficiency, and Dan offers real examples of where this AI is being deployed and how it has had real impacts. We also talk about adoption rates of AI within the tourism industry, and Dan shares a framework for approaching this new technology in your organization. What You Will Learn in This Episode: How Dan Flores transitioned from a long career in tourism operations to leading strategy in conversational AI at Satisfi Labs Why understanding operational efficiency is important when adopting new technology in the tourism industry What conversational AI can do to improve visitor experience and drive revenue How changes in consumer behavior and expectations are encouraging the tourism industry to embrace AI-powered solutions Why it's important to identify pain points and define goals before implementing AI technology in your organization Examples of real-world successful AI adoption, including collaborative projects like Connected City and integrated chatbots for DMOs, attractions, and tour operators How a strategic plan and incremental steps can help tourism businesses navigate the AI landscape The Power of Conversational AI in Tourism The tourism industry has always relied heavily on storytelling and connection, and Satisfi Labs' conversational AI platform gives destinations the ability to amplify their story and interact with customers in real-time. Unlike static websites and traditional ads, conversational AI provides dynamic interactions, it can answer questions, qualify leads, and even facilitate transactions 24/7, in dozens of languages. This delivers not only improved customer service but also a seamless path from inquiry to purchase. Driving Operational Efficiency and Revenue Operational efficiency is a cornerstone in the tourism sector, where staff often wear a lot of hats and resources are limited. Satisfi Labs' conversational agents can automate routine inquiries, freeing up staff to focus on high-value tasks and sales. Using AI turns businesses into round-the-clock operations without needing to scale human teams. A case in point is Dan's personal experience using a Satisfi Labs chatbot to resolve a ticket issue for a college basketball game in minutes, a process he expected would take much longer. The technology goes beyond simple customer service. AI-driven agents are also powerful tools for lead qualification, routing sales queries to the right person after gathering the right information, resulting in improved conversion rates and more effective use of resources. Making AI Work for You AI adoption is happening at a breakneck pace, so fast that Dan warns companies risk being left behind if they don't get on board. He suggests tourism businesses create a strategic AI plan that identifies departmental pain points and assesses if AI can offer a solution, then they can decide whether to build in-house or engage a vendor, and start small. This framework helps organizations prioritize efforts, minimize risk, and ensure resources are being used where they matter most. A key piece of advice is top-down adoption. Leadership should empower staff with resources, education, and freedom to experiment with AI tools, ensuring the culture embraces innovation. Resources: Website: www.satisfilabs.com LinkedIn Personal: https://www.linkedin.com/in/dan-flores2022/ LinkedIn Business: https://www.linkedin.com/company/satisfi-labs/ We value your thoughts and feedback and would love to hear from you. Leave us a review on your favorite streaming platform to let us know what you want to hear more o​f. Here is a quick tutorial on how to leave us a rating and review on iTunes!

In today's minisode, AI pioneer and enterprise sales leader Amanda Kahlow shares why intent data as we know it is dying – and what replaces it. Amanda is the founder and CEO of 1mind. In this segment, she discusses how SI  “superhumans” can operate inside live deals with access to every document and data point, and why the future of go-to-market may move toward agent-to-agent negotiation… with humans stepping in only for the final mile. If you're a CRO rethinking your funnel, a sales leader questioning the future of the SDR role, or an operator trying to understand how AI fits into active pipeline management, this episode is for you. Amanda Kahlow is the Founder and CEO of 1mind and the Founder of Sixth Sense. She is a multi time enterprise founder building AI systems designed to transform the full go-to-market lifecycle. Connect with Amanda: LinkedIn 1mind Get the Force Management guide to adapting your go-to-market execution for the AI age: The Predictable Revenue Framework: Guide for Leaders Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

In this insightful conversation, host Ashutosh Garg sits down with Peter L. Swimm, Founder of Toilville LLC, a multidisciplinary agency transforming businesses into conversational AI powerhouses.Peter shares his unique journey through startups, global enterprises, and open communities, and offers a people-first perspective on building conversational AI. Learn why multidisciplinary teams, context, and human connection are critical for successful AI deployments, and how businesses can avoid common misconceptions.In This Episode, You'll Discover:How Peter's early passion for human-centered technology shaped his career.What “multidisciplinary” really means in conversational AI.Why context and institutional knowledge are often missing in enterprise AI deployments.Real-world examples of solving AI misconceptions for clients.How to transition from isolated AI pilots to fully embedded business solutions.How NLU and generative AI work together in production-grade systems.The future of AI democratization, community-driven innovation, and emerging trends.Peter's top three strategic questions for businesses starting their conversational AI journey.

Amanda Kahlow joins Revenue Builders to unpack what happens when AI stops assisting go-to-market teams and starts replacing entire functions. Drawing on her experience founding SixthSense and now leading 1mind, she explains how technology originally built for Alzheimer's caregivers evolved into AI “superhumans” capable of running demos, qualifying buyers, building business cases, and onboarding customers. The conversation gets real about some of the uncomfortable questions facing sales today: what happens to SDRs, how the AE role changes, why traditional handoffs between Sales, Marketing, and Customer Success break down, and what “the final mile” of human selling really looks like. For revenue leaders, the bigger question isn't whether AI will impact go-to-market… it's how quickly org design, skill sets, and accountability models need to adapt. Amanda Kahlow is the Founder and CEO of 1mind and the Founder of Sixth Sense. She is a multi time enterprise founder building AI systems designed to transform the full go-to-market lifecycle. Connect with Amanda: LinkedIn 1mind Get the Force Management guide to adapting your go-to-market execution for the AI age: The Predictable Revenue Framework: Guide for Leaders Key takeaways from this episode:  00:00 – How tech built for Alzheimer's caregivers evolved into AI that can qualify buyers, run demos, and move deals forward. 05:09 – What Amanda really means by a “superhuman”, and why it's far beyond an AI SDR bolted onto your website. 06:27 – Why buyers are increasingly more comfortable with AI than humans in early-stage conversations, and what that does to traditional sales handoffs. 16:48 – How automated knowledge ingestion and system integrations are collapsing AI onboarding timelines from ~4 months to ~4 weeks. 30:23 – The GTM shakeup: SDRs disappear, AEs become strategic operators, and humans remain for one thing only… the “final mile.” 46:36 – The ultimate question: can AI replace high-cost revenue roles profitably? And what happens to trust, security, and data ownership in regulated industries? Hosted by five-time CRO John McMahon and Force Management Co-Founder John Kaplan, the Revenue Builders podcast goes behind the scenes with the sales leaders who have been there, done that, and seen the results. This show is brought to you by Force Management. We help companies improve sales performance, executing their growth strategy at the point of sale. Connect with Us: LinkedInYouTubeForce Management

The integration of Artificial Intelligence (AI) into post-injury rehabilitation is transforming recovery paradigms by enabling personalized, adaptive, and efficient rehabilitation pathways tailored to individual patient needs. This podcast reviews the current advances in AI applications that facilitate assessment, monitoring, and optimization of rehabilitation programs following injuries. Through machine learning algorithms, wearable sensors, and predictive analytics, AI enhances the precision of therapy plans, tracks patient progress in real-time, and predicts recovery trajectories. The discussion includes the benefits of AI-driven rehabilitation, including improved functional outcomes, reduced recovery times, and increased patient engagement. It also addresses challenges such as data privacy, algorithmic bias, and integration with clinical workflows.  1. Transforming recovery paradigms Traditional post‑injury rehab relies on periodic in‑person assessments, therapist intuition, and standardized protocols that only partially account for individual variability. AI is shifting this model toward: Continuous, data‑driven care: Instead of snapshots in clinic, rehab can be informed by near real‑time streams of kinematic, physiological, and behavioral data from wearables, smart devices, and robot interfaces. Dynamic adaptation: Therapy intensity, task difficulty, and exercise selection can be automatically adjusted based on ongoing performance, fatigue, and recovery trends, rather than fixed schedules. Precision rehabilitation: Algorithms can identify which patients are likely to respond to specific interventions (e.g., constraint‑induced movement therapy vs robotics) and tailor plans accordingly. This moves rehabilitation from a "one‑size‑fits‑many" paradigm toward precision, context‑aware therapy, analogous to precision oncology but focused on function and participation. 2. Assessment, monitoring, and optimization AI for assessment Sensor‑based movement analysis: Machine learning models process accelerometer, IMU, EMG, and pressure data to quantify gait symmetry, joint kinematics, balance, and fine motor control with higher resolution than visual observation alone. Automated scoring: AI can approximate or support standardized scales (e.g., Fugl‑Meyer, Berg Balance Scale) by mapping sensor features or video-derived pose estimates to clinical scores, reducing inter‑rater variability and saving clinician time. Continuous monitoring Home and community tracking: Wearable and ambient sensors enable monitoring of daily steps, walking speed, arm use, posture, and adherence to exercises outside the clinic, feeding rich longitudinal datasets into AI models. Real‑time alerts: Algorithms can detect abnormal patterns—such as increased fall risk, reduced limb use, or signs of over‑exertion—and flag the clinician or adjust digital therapy content automatically. Optimization and decision support Predictive models: Using historical data, AI can forecast functional gains, plateau points, or risk of complications (e.g., falls, readmission), supporting individualized goal‑setting and resource allocation. Reinforcement learning and "digital twins": Emerging work in neurorehabilitation treats rehab as a sequential decision problem, using model‑based reinforcement learning and patient "digital twins" to recommend optimal timing, dosing, and progression of interventions over weeks to months.​ 3. Technologies: ML, wearables, analytics Machine learning algorithms: Supervised ML classifies movement quality (normal vs compensatory), detects exercise type from sensor streams, and estimates clinical scores. Unsupervised learning clusters patients into phenotypes (e.g., gait patterns after stroke), revealing subgroups that respond differently to certain therapies. Reinforcement learning and contextual bandits explore which therapy adjustments yield the best long‑term functional outcomes for a given individual.​ Wearable sensors and robotics: Inertial sensors, EMG, pressure insoles, and exoskeleton sensors capture high‑frequency movement and muscle activity data during training. Robotic devices (upper‑limb exoskeletons, gait trainers) coupled with AI can modulate assistance, resistance, or task difficulty in real time based on performance and predicted fatigue. Predictive and prescriptive analytics: Predictive analytics estimate trajectories (e.g., time to independent walking, expected upper‑limb function) to inform shared decisions with patients and families. Prescriptive analytics recommend therapy intensity, modality mix, and scheduling to maximize functional gains under resource constraints. 4. Benefits: outcomes, efficiency, engagement Improved functional outcomes: Studies report better motor recovery, gait quality, and ADL performance when AI‑assisted training is used—especially when robotics and intelligent feedback are involved. Reduced recovery time and resource use: More precise dosing and earlier identification of non‑responders can reduce ineffective sessions, shorten time to key milestones, and support safe earlier discharge with robust remote follow‑up. Increased adherence and engagement: AI‑driven digital rehab platforms use gamification, adaptive difficulty, and personalized feedback to keep patients engaged in home programs, improving adherence compared to static paper instructions. Support for clinicians: Instead of replacing therapists, AI can offload repetitive measurement tasks, highlight concerning trends, and offer data‑driven suggestions, allowing clinicians to focus on relational, motivational, and complex decision‑making aspects of care. 5. Challenges and ethical considerations Data privacy and security: Rehab AI often relies on continuous collection of sensitive motion, physiological, and sometimes audio/video data, raising questions about consent, storage, secondary use, and breach risk. Approaches like federated learning and on‑device processing are being explored to reduce centralization of identifiable data while still enabling model training. Algorithmic bias and fairness: If training data under‑represent older adults, women, certain racial/ethnic groups, or people with severe disability, AI models may misestimate performance or risk for those groups, potentially widening disparities in rehab access and outcomes. Ongoing auditing, diverse datasets, and participatory design with patients and clinicians are needed to ensure equitable performance. Integration with clinical workflows: Many AI tools are developed in research settings and are not yet seamlessly integrated into EHRs, scheduling systems, or therapist documentation workflows. Poorly integrated tools risk adding documentation burden or "alert fatigue," reducing adoption. Successful implementations co‑design interfaces with frontline therapists and physicians. Regulation, liability, and trust: It remains unclear in many jurisdictions how to regulate adaptive rehab algorithms (as medical devices, clinical decision support, or wellness tools) and who is liable when AI‑informed plans cause harm.​ Transparent, explainable models and clear communication to patients about the role of AI are critical for maintaining trust. 6. Case studies and emerging trends Remote and hybrid digital rehabilitation: AI‑driven platforms providing home‑based stroke, orthopedic, or Parkinson's rehab with clinician dashboards are improving adherence and extending care beyond brick‑and‑mortar clinics. Collaborative AI for precision neurorehabilitation: Frameworks combining patient‑clinician goal setting, digital twins, and reinforcement learning exemplify "collaborative AI" that augments rather than replaces therapists.​ Multimodal personalization: Integration of movement data, EMG, heart rate, sleep, and self‑reported pain/fatigue is enabling more nuanced adaptation to daily fluctuations in capacity. Conversational AI for education and coaching: Early work is assessing tools like ChatGPT as low‑risk supports for exercise education and motivation, though they are not yet precise enough to replace professional plan design AI is moving rehab toward patient‑centered, continuously adapting, and data‑rich care, but realizing this promise depends on addressing privacy, bias, workflow, and regulatory challenges in partnership with clinicians and patients.

Plus - Reddit is testing a new AI search feature for shopping; YouTube's latest experiment brings its conversational AI tool to TVs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Customer conversations generate value. Yet most organizations never connect that value to action. Context gets lost across channels, and next steps never connect to downstream systems. This week on The Modern Customer, Ali Tore, RingCentral's SVP & GM of Conversational AI, shares how agentic voice AI closes that gap. He outlines why organizations must move beyond isolated automation and build systems that coordinate conversations, context, and follow-through across every touchpoint. If you want AI to drive real customer outcomes — not just efficiency — this episode is for you. 

Are you an entrepreneur who wants to scale but worries that automation will make you sound "robotic"? Do you feel like you have to be online 24/7 just to catch potential leads? In this episode, Mackensie Liberman, founder of Orca Marketology, reveals how to leverage the power of Conversational AI to grow your business without sacrificing your personal touch. Mackensie shares her inspiring journey of taking a chance on herself—quitting her job in a lab to build a business that gave her and her family true freedom. Now, she helps other entrepreneurs achieve that same freedom by implementing "smart" systems that work while they sleep. In this interview, you will discover: • Authentic Automation: Why You Need It & How to Keep It "You" • Website Widgets for Automated Connections • ManyChat Magic: Organic Leads via Message Marketing Join Us for Conversational AI: Real Connections, Automated Results and please help get the word out and share with those who may need a business boost. Each #IBWS provides "a Goldmine of Entrepreneurial Tips, Strategies and Advice to grow your business to new Heights of Success from Inspirational Business Women in the Know.”

From IVRs to multimodal AI experiences, the hardest problems are rarely technical. In this episode, we dive into the evolving landscape of conversational AI and enterprise automation with Anne Cantera, Senior Product Designer at Optimum. With extensive experience in transforming traditional IVR systems into conversational interfaces, Anne shares valuable insights on the practical implementation of AI in customer service environments.We explore the concept of 'hybrid architecture' in AI implementation, discussing how combining rule-based automation with generative AI often provides the optimal solution for enterprise needs. Anne explains how her team strategically deploys generative AI in low-risk scenarios while maintaining deterministic approaches where precision is critical, particularly in their recently launched NLU routing system.The conversation also covers the importance of customer-centric design in AI implementations, with Anne emphasising that the ultimate goal should be making experiences simpler for customers rather than focusing solely on containment metrics. We discuss how different industries approach AI adoption based on their risk profiles and how businesses are navigating the challenges of integrating new technologies with legacy systems.Show notesFollow Anne on LinkedInFollow Kane Simms on LinkedInTake our updated AI Maturity AssessmentSubscribe to VUX WorldSubscribe to The AI Ultimatum Substack Hosted on Acast. See acast.com/privacy for more information.

We are living through an unmistakably accelerated era of technological transformation. History shows that periods like this often reshape not only how organizations operate but also how individuals relate to one another and engage with the world.Looking back, the impact of major technological shifts seems obvious. But living through them is far more complex. On any given day, headlines announce CEOs radically reorganizing around artificial intelligence and replacing roles once held by people, while other reports note that many companies have yet to realize measurable benefits from their significant AI investments.The reality is that the long‑term implications—for business, society, and our daily lives—are still unfolding. Organizations must therefore be thoughtful and strategic, not reactive, in how they adopt and integrate AI technologies.This week, we're fortunate to explore these questions with Hakob Astabatsyan, founder of Synthflow.ai, an end‑to‑end Voice AI platform that aims to “redefine how enterprises connect with customers.” Our conversation goes well beyond Synthflow's product offering to examine the evolving nature of AI itself.We discuss the technical and philosophical challenges of building AI‑driven voice orchestration systems capable of mimicking human conversation. Hakob reflects on the current limitations of AI—particularly in handling emotional nuance—and the possibilities for AI tools to simulate empathy in certain contexts. He also explains Synthflow's Visual Conversational Flow Builder, which enables organizations to design guided conversational paths that help customers navigate interactions more effectively and improve outcomes.Throughout our discussion, Hakob emphasizes a central point: AI should enhance human capabilities, not replace them. While disruption is inevitable, the greater opportunity lies in elevating uniquely human skills—critical thinking, creativity, communication, and collaboration. This shift will require educational institutions to rethink what and how they teach in order to prepare students for the world emerging around us.Hakob also looks ahead, predicting that 2026 will be a pivotal year for AI adoption, driven not by futuristic breakthroughs but by improvements in usability, accessibility, and seamless integration into everyday business operations.Hakob Astabatsyan: https://www.linkedin.com/in/hakob-astabatsyan/Synthflow.ai: https://synthflow.ai/

We're back! Explore the future of artificial intelligence in the year 2026 with Patrick McGarry, Federal Chief Data Officer at ServiceNow, and Dr. Jupiter Bakakeu, Lead Generative AI Technologist at Alteryx. This milestone 200th episode examines the critical shift from AI as an answer machine to AI as an autonomous work agent capable of executing tasks independently. Learn about the four characteristics of AI agents (perceive, reflect, act, learn), discover which tasks organizations should and shouldn't delegate to AI, and understand why modernization, trust, and governance matter more than model selection. Panelists:Patrick McGarry, Federal Chief Data Officer @ ServiceNow - LinkedInJupiter Bakakeu, Lead Generative AI Technologist @ Alteryx - LinkedInJoshua Burkhow, Chief Evangelist @ Alteryx - @JoshuaB, LinkedInShow notes: ServiceNowAlteryxData.world"Beyond the Algorithm" by Patrick McGarry (upcoming publication) Interested in sharing your feedback with the Alter Everything team? Take our feedback survey here!This episode was produced by Cecilia Murray, Mike Cusic, and Matt Rotundo. Special thanks to Andy Uttley for the theme music.

On this week's show we look at the annual Consumer Electronics Show inLas Vegas Nevada. In years past there was more for us home theater fans but we still find some cool products that will eventually find their way into our homes. News: More than 60% of audiences use TV as primary streaming device Which sports will Netflix have in 2026? LG Key Highlights Return of the Wallpaper OLED TV (LG OLED evo W6) — LG revived its iconic ultra-thin "Wallpaper" design after a multi-year hiatus. The W6 is just 9mm thick, fully wireless (with a separate connection box up to 10 meters away), uses Hyper Radiant Color Technology for improved brightness and colors, and supports features like art display via Gallery+ service. It's marketed as reflection-free and significantly brighter than average OLEDs. New OLED Lineup — Including the brighter flagship G6 (up to 20% brighter than the G5 with Primary RGB Tandem 2.0 panels and reduced reflections), split C6 series (with varying tech tiers), and claims of the world's first TVs supporting 4K 120Hz cloud gaming with low-latency controllers. Micro RGB evo TV — LG's first flagship Mini-LED TV with Micro RGB technology for vastly expanded color range and brightness, available in large sizes including the "world's largest" Micro RGB LCD TV, the 130-inch R95H. Gallery TV — A direct competitor to Samsung's The Frame, with anti-glare screens and curated art modes (designed with museum input). CLOiD Home Robot — A standout AI-powered housekeeper robot demoed on stage. It performs complex chores like folding laundry, loading/unloading dishwashers, preparing simple meals (baking croissants), and coordinating with connected appliances for a "Zero Labor Home" vision. LG Sound Suite (with Dolby) - Includes the H7 soundbar, optional M7/M5 wireless surround speakers, and W7 subwoofer. Allows free placement of speakers; the system auto-configures channels for optimal immersion, solving a major pain point in traditional wired or rigidly positioned Atmos setups.Hands-on reports highlighted its ease for real-world living rooms, delivering expansive sound without cables or furniture rearrangement. Samsung Key Highlights World's first 130-inch Micro RGB TV (): The largest in their Micro RGB lineup, featuring next-generation color accuracy (100% Rec.2020 coverage), bold new design, HDR10+ ADVANCED support, Eclipsa Audio, and AI enhancements like conversational search, proactive recommendations, AI Football (Soccer) Mode Pro, and integrations with Microsoft Copilot and Perplexity. AI Soccer Mode delivers a more exciting gameday experience through AI-driven picture and sound tuning to stadium-level quality. AI Sound Controller Pro lets you raise or lower the volume of the crowd, commentary, or background music, providing a personalized listening experience for TV shows and movies. Users can simply make verbal requests, and any TV equipped with VAC – which includes Micro LED, Micro RGB, OLED, Neo QLED, Mini LED and UHD TV – contextually carries out those requests. Expanded Micro RGB TV lineup: New sizes including 55-, 65-, 75-, 85-, 100-, 115-inch models, alongside upgrades to Neo QLED and OLED TVs  The Freestyle+ portable projector: An upgraded AI-powered version with improved brightness, support for projecting on uneven surfaces (walls, ceilings, corners, curtains), and smarter entertainment features. New audio products: Music Studio 5 and 7 wireless speakers (Bluetooth/Wi-Fi, unique designs), and soundbars like the HW-QS90H (all-in-one 7.1.2 with Quad Bass Woofer system). Broader AI focus: Enhanced experiences in home appliances (e.g., Bespoke AI), TVs, and ecosystem integration. Press releases  Sony No major announcements were made regarding Sony's traditional consumer products, such as new Bravia TVs, headphones, cameras, or PlayStation hardware. Sony's focus shifted toward the future of mobility and software-defined vehicles. TCL Key Highlights X11L SQD-Mini LED TV - as its 2026 flagship. It features new "SQD-Mini LED" technology (Super Quantum Dot Mini-LED), emphasizing superior color accuracy and performance. Features 10,000 Nits, 20,000 dimming zones, 100% coverage of BT.2020 color gamut. Available initially in 98-inch and 85-inch sizes (75-inch later), with launches starting as early as January 2026. Some who have seen it are saying it rivals Micro RGB TVs from competitors like Samsung and LG, potentially challenging OLED in brightness and contrast. A65K Design Series soundbar — A compact 3.1.2-channel Dolby Atmos model with Bang & Olufsen tuning and wireless subwoofer. Hisense Key Highlights RGB MiniLED evo Technology — Hisense introduced an evolved version of its RGB MiniLED backlight system, which adds a fourth primary color to improve accuracy and fill spectral gaps (especially in the 500-600nm range) for more natural and vibrant colors. This debuts in the flagship 116UXS large-screen TV, positioned for premium cinematic home viewing. Expanded RGB MiniLED Lineup — The company is bringing RGB MiniLED to more accessible screen sizes and models, including new UR9 and UR8 series TVs, making the technology available beyond ultra-premium flagships. Industry-First RGBY MicroLED Display — Hisense unveiled a new MicroLED prototype using four primary colors (Red, Green, Blue, Yellow), aimed at future ultra-large screens with enhanced color reproduction. Laser Projection and Other Displays — Extensions of multi-primary color tech to laser projectors, emphasizing better color accuracy and flexible installations. Additional Mentions — New projectors, smart home AI assistants, and support for advanced formats like Dolby Vision 2 on upcoming 2026 MiniLED models (via OTA updates). Home Audio Announcements Budget brand Ultimea surprised with the Skywave X100 Dual, a premium compact system boasting up to 9.2.6 channels across seven modular units.Focuses on high-channel-count immersion in a small footprint, positioning it as an affordable yet powerful alternative for space-constrained home theaters. SVS R|Evolution SeriesAudio specialist SVS debuted the 3000 R|Evolution subwoofers and a new Dolby Atmos soundbar, demonstrated in a full 5.2.4-channel cabin setup for reference-level performance. Klipsch Powered Speakers UpdateKlipsch refreshed its powered lineup with The Fives II, Sevens II, and Nines II, building on heritage horn-loaded designs with modern connectivity, plus concept teases for future innovations.Other mentions included Cambridge Audio's new active bookshelf speakers and various AI-enhanced EQ features across brands, but the Dolby Atmos FlexConnect implementations (especially LG's) stood out as the truly novel leap forward for effortless, high-quality home audio in 2026. The Fives II: $1,399.99/pair USD. The Sevens II: $1,999.99/pair USD. The Nines II: $2,399.99/pair USD Home Automation Announcements The standout trend was humanoid or multi-purpose home robots moving beyond single tasks (like vacuuming) to general household help, embodying a vision of embodied AI. LG CLOiD: LG's flagship reveal was this wheeled, dual-armed AI home robot designed for a "Zero Labor Home." It autonomously handles diverse chores like retrieving items from the fridge, heating food in the oven, folding laundry, and coordinating with other smart appliances. Powered by advanced AI and sensors, it demonstrates real-world household automation in demo setups. SwitchBot onero H1: SwitchBot introduced this accessible humanoid household robot as part of its "Smart Home 2.0" vision. It represents a shift to multi-task embodied AI, going beyond specialized devices to perform varied daily tasks. Accompanied by other AI robotics integrations for intuitive automation. Other mentions included updates like Samsung's AI Jet Bot Steam Ultra (with AI object/liquid recognition for smarter cleaning) and emerging players like 1X NEO, signaling a wave of practical home robotics. Devices are increasingly using on-device AI to automate routines without user programming. Conversational AI and Butler-Style Control: Widespread demos of voice assistants that learn habits and respond to natural commands, turning smart homes into proactive "housekeepers." Sorcerics Lens (CES Innovation Award honoree): An AI hub using on-device computer vision for fully contextual automation of housework, understanding environments to trigger actions intelligently. Lights turn on because the AI recognizes you're reading - not just because you moved. Lights turn off only when the AI understands you're about to sleep - not simply on a routineWhat motion and presence sensors fail to see, Sorcerics AI sees the difference. Govee Smart Lighting Advancements: New lights (e.g., Ceiling Light Ultra) that proactively adjust based on time of day, mood, space usage, and user patterns—rethinking lighting as adaptive rather than reactive. SwitchBot AI MindClip: AI MindClip continuously captures meetings, conversations, and everyday moments, transforming them into structured summaries, actionable to-dos, and a searchable personal knowledge base. Acting as a "second brain" fueled by subscribed cloud AI service, it allows users to retrieve past discussions, reminders, and learning materials on demand, ask questions when details are forgotten, and turn fragmented information into usable insight. Weighing just 18 grams and supporting over 100 languages, AI MindClip helps people organize and recall the growing volume of spoken information they encounter every day, enabling them to think more clearly, work more efficiently, and manage modern life with less cognitive load. Innovative Access and Security Aqara U400 Smart Deadbolt: Uses Ultra-Wideband (UWB) for precise, hands-free unlocking as you approach—more reliable than traditional geofencing/Bluetooth mixes. Lockin V7 Max: Features wireless AuraCharge (recharges within 4 meters) and fast unlocking, earning a CES Innovation Award. SwitchBot's biometric 3D locks with advanced vision. Other Notable Smart Home Innovations Expanded Matter ecosystem support across brands, enabling broader interoperability. Smarter kitchen tech, like Govee's Smart Nugget Ice Maker Pro. Enhanced security cameras with deeper AI context for automation triggers.

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Miles Spencer, founder of Reflekta, about using AI to preserve the stories and legacies of loved ones. Miles explains how Reflekta enables meaningful, ongoing conversations with elders through AI while prioritizing privacy, ethics, and emotional responsibility.They explore the technical foundations of the platform, the challenges of building trust around deeply personal data, and the business model behind Reflekta. Miles also shares his journey from high school to entrepreneurship and reflects on how technology can foster genuine human connection rather than replace it.00:00 Introduction 02:35 How Reflekta Uses AI05:10 Media Processing and Conversations08:26 Privacy, Security, and Ethics13:25 Miles' Background and Journey27:57 Early Entrepreneurship and Family Challenges36:49 Finance, Venture Capital, and Media44:57 New Ventures and Career Shifts56:54 COVID-19 and Business Impact01:00:04 The Birth of Reflekta01:09:03 Ethical Challenges and the Road AheadConnect with Miles: LinkedIn: https://www.linkedin.com/in/milesspencer/Mentioned in this Episode:Reflekta: https://reflekta.ai/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

In this episode of the Data Science Salon Podcast, we sit down with Carlos Aguilar, Head of Product at Hex and former founder of Hashboard, to discuss a topic critical for every data team: how to properly evaluate AI analytics tools.Carlos shares why traditional checklist-based evaluations fail for conversational AI and generative analytics tools, and how focusing on context, workflow, and real user testing can dramatically improve the chances of success. Drawing on his experience leading the Data Insights team at Flatiron Health, he provides practical guidance for both end-users and data teams.Key Highlights:End-User vs Data Team Evaluation: Why both perspectives are crucial for measuring AI effectiveness.Context Management: How setting up reference questions ensures accurate and relevant answers.Workflow & Observability: Why monitoring and iterating on AI outputs is essential for real-world success.Lessons from the Field: Examples of tools that look good in demos but fail in production—and how to avoid those pitfalls.

Meta just made a multi-billion acquisition for AI agents.

Today's guest is Baker Johnson, Chief Business Officer at UJET. UJET is a next-generation cloud contact center platform that leverages AI to modernize the customer experience. Baker joins Emerj Editorial Director Matthew DeMello to explain why conversational and agentic AI often fall short in CX, and how legacy processes and fragmented data prevent meaningful results. Baker also offers practical steps for improving ROI — from redesigning workflows before automating them to aligning real-time interaction data with systems of record and building a healthier balance between human and AI agents. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the 'AI in Business' podcast! This episode is sponsored by UJET.

This is a recap of the top 10 posts on Hacker News on December 29, 2025. This podcast was generated by wondercraft.ai (00:30): Kidnapped by Deutsche BahnOriginal post: https://news.ycombinator.com/item?id=46419970&utm_source=wondercraft_ai(01:52): Google is dead. Where do we go now?Original post: https://news.ycombinator.com/item?id=46425198&utm_source=wondercraft_ai(03:14): GOG is getting acquired by its original co-founderOriginal post: https://news.ycombinator.com/item?id=46422412&utm_source=wondercraft_ai(04:36): You can make up HTML tagsOriginal post: https://news.ycombinator.com/item?id=46416945&utm_source=wondercraft_ai(05:58): Show HN: Z80-μLM, a 'Conversational AI' That Fits in 40KBOriginal post: https://news.ycombinator.com/item?id=46417815&utm_source=wondercraft_ai(07:20): List of domains censored by German ISPsOriginal post: https://news.ycombinator.com/item?id=46423566&utm_source=wondercraft_ai(08:42): Tesla's 4680 battery supply chain collapses as partner writes down deal by 99%Original post: https://news.ycombinator.com/item?id=46423290&utm_source=wondercraft_ai(10:05): Show HN: Vibe coding a bookshelf with Claude CodeOriginal post: https://news.ycombinator.com/item?id=46420453&utm_source=wondercraft_ai(11:27): You can't design software you don't work onOriginal post: https://news.ycombinator.com/item?id=46418415&utm_source=wondercraft_ai(12:49): Staying ahead of censors in 2025Original post: https://news.ycombinator.com/item?id=46417844&utm_source=wondercraft_aiThis is a third-party project, independent from HN and YC. Text and audio generated using AI, by wondercraft.ai. Create your own studio quality podcast with text as the only input in seconds at app.wondercraft.ai. Issues or feedback? We'd love to hear from you: team@wondercraft.ai

What if the most valuable part of your next conversation with an AI wasn't the answer it gave, but the ad it served? Agility requires more than just adopting new platforms; it demands a complete re-imagination of how brands provide value within them. It challenges us to move from interruption to integration, ensuring our presence is not only seen but welcomed. Today, we're going to talk about a potentially significant shift in digital marketing: the collision of conversational AI and advertising. As large language models become the new interface for information and interaction, brands are facing a critical question—how do you participate in that conversation authentically and effectively, without destroying the user experience? We'll explore how to navigate this new frontier not as intruders, but as valuable contributors. To help me discuss this topic, I'd like to welcome, Andrea Tortella, CEO at Thrad. About Andrea Tortella Andrea Tortella on LinkedIn: https://www.linkedin.com/in/andrea-tortella Resources Thrad: https://www.thrad.ai/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

What if the most valuable part of your next conversation with an AI wasn't the answer it gave, but the ad it served?Agility requires more than just adopting new platforms; it demands a complete re-imagination of how brands provide value within them. It challenges us to move from interruption to integration, ensuring our presence is not only seen but welcomed.Today, we're going to talk about a potentially significant shift in digital marketing: the collision of conversational AI and advertising. As large language models become the new interface for information and interaction, brands are facing a critical question—how do you participate in that conversation authentically and effectively, without destroying the user experience? We'll explore how to navigate this new frontier not as intruders, but as valuable contributors.To help me discuss this topic, I'd like to welcome, Andrea Tortella, CEO at Thrad. About Andrea Tortella Andrea Tortella on LinkedIn: https://www.linkedin.com/in/andrea-tortella Resources Thrad: https://www.thrad.ai/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://ratethispodcast.com/agileConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Peter Swimm, founder of Toilville, about the future of AI and workplace automation. Peter shares insights from his long career in technology—from Microsoft to building large-scale conversational AI systems—and discusses the growing need for strong governance around AI usage. They explore privacy and IP concerns, the pitfalls of “vibe coding,” and why documentation and trust logs are essential for safe and effective AI adoption. The conversation also dives into generational shifts in education, the impact of COVID-19 on the job market, and how AI can enhance productivity without replacing authenticity.00:00 Introduction03:09 AI and Workplace Automation05:51 Privacy, IP, and Safety Concerns08:50 Vibe Coding and Development Challenges12:04 Governance and Compliance14:49 Evolution of AI Tools20:53 Early Tech Experiences31:28 Cultural Perspectives on AI36:31 AI and the Future of Education42:44 Career Paths and Experience50:54 Early Conversational AI56:15 COVID-19 and Contact Centers59:00 AI's Future in Business01:02:42 From Microsoft to Entrepreneurship01:13:44 Navigating the AI Landscape01:28:02 Empowering Businesses with AI SolutionsConnect with Peter: LinkedIn: https://www.linkedin.com/in/peterswimm/Mentioned in this Episode:Toilville: https://www.toilville.com/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Are you a home service business owner who feels overwhelmed by the pace of change in 2025? Do you worry that AI is moving faster than your team, your systems, and even your competitors? How do you keep up with the new rules of search, booking, content, and customer experience without burning cash or wasting time?  In this episode of The Better Than Rich Show, host Mike Abramowitz talks with Jennifer Bagley, CEO of CI Web Group and Co-Founder of JustStartAI.io.  Jen is known as one of the leading experts in agentic AI systems for contractors. She is passionate about helping small- and mid-sized home service owners future-proof their businesses, increase visibility, raise margins, and eliminate operational waste through AI-enabled systems that operate 24 hours a day. Her background in development, automation, and large-scale digital operations makes her uniquely qualified to explain the shifts happening in the industry and how owners can win today, not someday. If you want to understand the real path forward, Jen brings clarity, urgency, and practical steps you can apply right away.  Timestamps [00:00] Why AI matters for home service owners [01:20] Conversational AI vs agent vs multi agent vs agentic [04:30] How Jen builds a whole AI-driven content team [09:30] What agentic workflows look like in real life [12:00] Why trying to build your own network is risky [13:15] Why Jen invested millions to stay ahead [18:20] What owners should do right now [20:00] Inside Start AI and how to get free credits [23:00] How AI improves marketing efficiency [26:30] Building systems for booking and follow-up [33:45] Why WordPress is holding contractors back [37:40] The shift from Google to AI search [43:20] Running a lean and profitable business with AI [46:10] Remodeling your PNL with AI [51:00] What being better than rich means to Jen   Key Quotes "Consumer adoption accelerates when devices receive updates overnight. This allows users to experience improved features right away, leading to faster acceptance of new technology." "The speed of progress is crucial right now. Staying ahead in a rapidly changing market is key to success." "Content acts as your storefront; if it's outdated, you risk becoming invisible. Fresh and relevant content is essential for attracting customers in the digital age." "AI will not replace contractors, but those who use AI will surpass those who don't. Embracing AI can boost efficiency and innovation, giving forward-thinking contractors a significant advantage."  Key Takeaways Identify where clients are dropping off in the process and quickly eliminate any friction. Utilize AI-enabled vendors before attempting to build anything in-house. Increase daily content output to boost visibility, impressions, and the number of booked jobs. Prepare for AI agents that can schedule appointments on behalf of homeowners. Modernize booking tools to allow agents to schedule appointments smoothly. Transition to low-code platforms when appropriate. Use AI to analyze and remodel your profit and loss statements to enhance margins.  Links Mentioned Just Start AI: https://juststartai.io CI Web Group: https://ciwebgroup.comConnect with The Better Than RichWebsite - https://www.betterthanrich.com/Facebook - https://m.facebook.com/betterthanrich/Instagram - https://www.instagram.com/betterthan_rich/Twitter - https://mobile.twitter.com/betterthan_richTikTok - https://www.tiktok.com/@betterthanrichYouTube - https://www.youtube.com/channel/UC3xXEb7rKBvkCOdtWd4tj2ALinkedin - https://www.linkedin.com/company/betterthanrich

Wake up — it's here. Conversational AI has officially arrived in automotive, and it's transforming dealership operations faster than anyone expected. In this episode, Jen sits down with one of the true OGs of voice AI, Rich Sands, CEO of Stella Automotive AI, to unpack what's really happening behind the scenes as dealerships adopt AI in service and sales. https://stellaautomotive.com Rich shares the evolution of Stella—from early hurdles to the all-new rebuilt platform—and opens up about the human side of AI: the integration challenges, the mistakes, the breakthroughs, and the massive shift in customer adoption. You'll hear real data on engagement, booking speed, and why some callers now prefer Stella over a human. Jen and Rich break down: Why voice AI is accelerating dealership operations on both the service and sales sides How customer behavior toward AI has radically changed in just two years What "the new Stella" actually means (zero latency, deep integrations, powerful customization) The ROI dealers are seeing—and why AI is now outperforming humans in call handling and appointment booking The must-do steps for dealers deploying voice AI (yes, the greeting matters more than you think) How data, context, and personalization are creating a new wave of VIP-level customer experience If you want real talk about scaling voice AI in a dealership—without the vendor pitch—this episode is your roadmap. It's tactical. It's honest. And it'll prepare you for the next big operational shift already hitting stores nationwide. Dealer Talk with Jen Suzuki Podcast |

In this episode of Crazy Wisdom, host Stewart Alsop talks with Kevin Smith, co-founder of Snipd, about how AI is reshaping the way we listen, learn, and interact with podcasts. They explore Snipd's vision of transforming podcasts into living knowledge systems, the evolution of machine learning from finance to large language models, and the broader connection between AI, robotics, and energy as the foundation for the next technological era. Kevin also touches on ideas like the bitter lesson, reinforcement learning, and the growing energy demands of AI. Listeners can try Snipd's premium version free for a month using this promo link.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Kevin Smith, co-founder of Snipd, to discuss AI, podcasting, and curiosity-driven learning.05:00 – Kevin explains Snipd's snipping feature, chatting with episodes, and future plans for voice interaction with podcasts.10:00 – They discuss vector search, embeddings, and context windows, comparing full-episode context to chunked transcripts.15:00 – Kevin shares his background in mathematics and economics, his shift from finance to machine learning, and early startup work in AI.20:00 – They explore early quant models versus modern machine learning, statistical modeling, and data limitations in finance.25:00 – Conversation turns to transformer models, pretraining, and the bitter lesson—how compute-based methods outperform human-crafted systems. 30:00 – Stewart connects this to RLHF, Scale AI, and data scarcity; Kevin reflects on reinforcement learning's future. 35:00 – They pivot to Snipd's podcast ecosystem, hidden gems like Founders Podcast, and how stories shape entrepreneurial insight. 40:00 – ETH Zurich, robotics, and startup culture come up, linking academia to real-world innovation. 45:00 – They close on AI, robotics, and energy as the pillars of the future, debating nuclear and solar power's role in sustaining progress.Key InsightsPodcasts as dynamic knowledge systems: Kevin Smith presents Snipd as an AI-powered tool that transforms podcasts into interactive learning environments. By allowing listeners to “snip” and summarize meaningful moments, Snipd turns passive listening into active knowledge management—bridging curiosity, memory, and technology in a way that reframes podcasts as living knowledge capsules rather than static media.AI transforming how we engage with information: The discussion highlights how AI enables entirely new modes of interaction—chatting directly with podcast episodes, asking follow-up questions, and contextualizing information across an author's full body of work. This evolution points toward a future where knowledge consumption becomes conversational and personalized rather than linear and one-size-fits-all.Vectorization and context windows matter: Kevin explains that Snipd currently avoids heavy use of vector databases, opting instead to feed entire episodes into large models. This choice enhances coherence and comprehension, reflecting how advances in context windows have reshaped how AI understands complex audio content.Machine learning's roots in finance shaped early AI thinking: Kevin's journey from quantitative finance to AI reveals how statistical modeling laid the groundwork for modern learning systems. While finance once relied on rigid, theory-based models, the machine learning paradigm replaced those priors with flexible, data-driven discovery—an essential philosophical shift in how intelligence is approached.The Bitter Lesson and the rise of compute: Together they unpack Richard Sutton's “bitter lesson”—the idea that methods leveraging computation and data inevitably surpass those built from human intuition. This insight serves as a compass for understanding why transformers, pretraining, and scaling have driven recent AI breakthroughs.Reinforcement learning and data scarcity define AI's next phase: Stewart links RLHF and the work of companies like Scale AI and Surge AI to the broader question of data limits. Kevin agrees that the next wave of AI will depend on reinforcement learning and simulated environments that generate new, high-quality data beyond what humans can label.The future hinges on AI, robotics, and energy: Kevin closes with a framework for the next decade: AI provides intelligence, robotics applies it to the physical world, and energy sustains it all. He warns that society must shift from fearing energy use to innovating in production—especially through nuclear and solar power—to meet the demands of an increasingly intelligent, interconnected world.

In this episode of The InEVitable by MotorTrend, host Ed Loh takes you inside GM Forward — General Motors' technology showcase in New York — to explore the company's electrified, autonomous, and AI-driven future. From new lithium manganese-rich batteries that cut costs while keeping range high, to hands-free, eyes-off driving coming to the 2028 Cadillac Escalade IQ, and even Google Gemini AI built directly into millions of GM vehicles — this episode dives into every major innovation reshaping the automaker. You'll hear from the engineers, designers, and executives behind GM's next generation of mobility, including: Gary Cygan - Director of Platform Engineering General Motors Kurt Kelty - VP of Battery Propulsion and Sustainability General Motors Aseem Kapur - Chief Revenue Officer GM Energy Baris Cetinok - Sr. Vice President Software & Services, Product and Design, General Motors David Richardson - Sr. Vice President of Software Services General Motors Key topics: ⚡️ GM's unified computing architecture for all vehicles

Discover how Neurix is building the next generation of voice AI that sounds and reacts like a human in this conversation with Peeyush, former Google technologist and co-founder of Miracle Labs. Peeyush shares how Neurix is solving the toughest challenges in conversational AI — from eliminating latency to creating natural, real-time dialogue that mirrors human interaction. He explains why voice is the hardest frontier in AI, how Neurix's proprietary models manage conversation flow, and what it takes to integrate voice agents into enterprise systems at scale. Learn how Neurix is combining low-latency speech recognition, dialogue management, and large language models to deliver seamless, multilingual customer experiences. If you're a business leader, product builder, or AI professional interested in how human-like voice agents are transforming customer support and enterprise communication, this episode reveals the future of intelligent conversation.   Stay Updated: Craig Smith on X:https://x.com/craigss  Eye on A.I. on X: https://x.com/EyeOn_AI 

In this thought-provoking episode of the "Father and Joe" podcast, hosts Father Boniface Hicks and Joe Rockey delve deep into the potential impacts of technology, particularly artificial intelligence (AI), on human relationships and spiritual life. The conversation builds on the last week's discussion about the encroachment of AI in personal interactions, highlighting the dangers of relying too heavily on technology to connect with others and ourselves.Joe and Father Boniface discuss how AI can create a sense of emptiness in relationships, akin to trying to fill an infinite void with finite substances, which is often how sin manifests. They raise a critical question: When does the artificial relationship, facilitated by AI, feel fulfilling, and when does it leave us longing for more? This episode provides a "litmus test" to help listeners evaluate their interactions with AI—does it enrich their lives, or does it deplete their relational and emotional capacities?Father Boniface introduces insights from a Vatican document, "Antiqua et Nova," emphasizing that AI lacks the intrinsic qualities necessary for genuine human interaction—it has no interiority, intentions, or the capacity to truly care. Despite AI's sophisticated simulation capabilities, it cannot replace the profound depth of embodied human experiences that shape our intellect, morals, and soul.Through the lens of spirituality, the hosts explore the notion that AI, devoid of a soul, cannot nurture our spirituality or contribute to the development of virtues. Joe and Father Boniface urge listeners to critically assess their engagement with technology, ensuring it serves humanity rather than detracts from it.Towards the episode's end, the importance of traditional, interpersonal connection is revisited. In an age where technology often mediates relationships, the hosts stress the enduring necessity of face-to-face interaction for spiritual growth and relationship building.This episode is a call to mindfulness about the roles technology plays in our lives, encouraging continued philosophical inquiry into its ramifications. Joe and Father Boniface affirm the value of questioning and discerning technology's place in supporting human essence—a distinctly relational nature imbued with the divine spark.Tags:AI, Artificial Intelligence, Human Relationships, Technology, Spirituality, Church, Faith, Soul, Relational Growth, Podcast, Father and Joe, Religion, Emptiness, Sin, Vatican, Bible, Antiqua et Nova, Emotional Intelligence, Interpersonal Connection, Moral Discernment, Genuine Care, Spiritual Direction, Relationship Skills, Holiness, Embodied Experience, Humanity, Personal Development, Emotional Fulfillment, Relationship Evaluation, AI Therapists, Technology and Faith, Conversational AI, AI Limitations, Relational Intelligence, AI Impact, Emotional Health, Authentic Connection, Technology Dependence, Friendship, Connection, Spiritual Growth, Meaningful InteractionsHashtags:#AI #ArtificialIntelligence #HumanRelationships #Technology #Spirituality #Church #Faith #Soul #RelationalGrowth #Podcast #FatherAndJoe #Religion #Emptiness #Sin #Vatican #Bible #AntiquaEtNova #EmotionalIntelligence #InterpersonalConnection #MoralDiscernment #GenuineCare #SpiritualDirection #RelationshipSkills #Holiness #EmbodiedExperience #Humanity #PersonalDevelopment #EmotionalFulfillment #RelationshipEvaluation #AITherapists #TechnologyAndFaith #ConversationalAI #AILimitations #RelationalIntelligence #AIImpact #EmotionalHealth #AuthenticConnection #TechnologyDependence #Friendship #Connection #SpiritualGrowth #MeaningfulInteractionsThis line is here to correct the site's formatting error.

FROM THE VAULT: This Isn't Therapy... it's the *encore* episode about AI therapists and if they can ever replace the real thing. In this episode, Jake and Simon discuss a recent BBC article about why teens are seeking out AI therapist bots and what that means for the future of mental health. Conversational AI or, in other words, "chatbots with a personality" are gaining more attention and users are finding new therapy-ish use-cases on platforms like Character.ai and Replika. The pros, the cons, the risks, and the benefits. All that and more!BBC Article discussed: Young people turning to AI therapist botsGot a quandary, query, or question? Submit your Q (anonymously) to Asking For A Friend...Creators & Guests Simon Paluck - Host Jake Ernst - Host Hello, hi! Validate us by...Following us on Instagram: @notatherapypodcast⁣Following us on TikTok: @notatherapypodcastJake Ernst: @mswjakeSimon Paluck: @directedbysimon

Tyler McGregory Dropped Out of College to Master AI & Now Saves Businesses Millions

É o assunto do momento: inteligência artificial. Muito tem sido dito sobre o efeito dela na sociedade. Mas e os efeitos em nossa mente? Afinal, ela afeta nossa capacidade cognitiva? O que a ciência já tem a dizer sobre isso?Confira o papo entre o leigo curioso, Ken Fujioka, e o cientista PhD, Altay de Souza.>> OUÇA (58min 57s)*Naruhodo! é o podcast pra quem tem fome de aprender. Ciência, senso comum, curiosidades, desafios e muito mais. Com o leigo curioso, Ken Fujioka, e o cientista PhD, Altay de Souza.Edição: Reginaldo Cursino.http://naruhodo.b9.com.br*APOIO: INSIDERIlustríssima ouvinte, ilustríssimo ouvinte do Naruhodo,qual é minha dica INSIDER do mês?Eu precisava de uma calça que servisse para o trabalho e para o lazer.Numa só peça.A resposta chegou:Calça FutureForm da INSIDER.É elegante.É confortável.É versátil.É durável.Não precisa passar.Vai da reunião de trabalho ao rolê do fim de semana.E Setembro, que é o Mês do Cliente, é a melhor oportunidade para começar a comprar INSIDER: combinando o cupom NARUHODO com os descontos do site, o seu desconto total pode chegar a até 50%! Isso mesmo: sua compra pode sair até pela metade do preço.Mas tem que acessar pela URL especial:creators.insiderstore.com.br/NARUHODOINSIDER: inteligência em cada escolha.#InsiderStore*REFERÊNCIASAI study: Over 60 per cent use Artificial Intelligence at work – almost half of all employees are worried about losing their jobshttps://www.deloitte.com/ch/en/about/press-room/ai-study-almost-half-of-all-employees-are-worried-about-losing-their-jobs.htmlAI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinkinghttps://www.mdpi.com/2075-4698/15/1/6Impact of artificial intelligence on human loss in decision making, laziness and safety in educationhttps://www.nature.com/articles/s41599-023-01787-8The impact of artificial intelligence on human society and bioethicshttps://pmc.ncbi.nlm.nih.gov/articles/PMC7605294/Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Taskhttps://arxiv.org/pdf/2506.08872v1A user-centred approach to functions in Excelhttps://dl.acm.org/doi/abs/10.1145/944705.944721Spreadsheet usage by management accountants: An exploratory studyhttps://www.sciencedirect.com/science/article/pii/S0748575114000736Technology and Unemploymenthttps://www.proquest.com/openview/c94ac907d0063472c88497666cafca0d/1?pq-origsite=gscholar&cbl=1817076Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statisticshttps://www.nber.org/papers/w24001The productivity paradox of information technologyhttps://dl.acm.org/doi/10.1145/163298.163309Automation and Job Displacement's Impact on the Labor Market in the USAhttps://soar.suny.edu/handle/20.500.12648/16197The Simple Macroeconomics of AIhttps://shapingwork.mit.edu/research/the-simple-macroeconomics-of-ai/The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?https://arxiv.org/abs/2410.04699Will Generative Artificial Intelligence Chatbots Generate Delusions in Individuals Prone to Psychosis? https://academic.oup.com/schizophreniabulletin/article/49/6/1418/7251361Experiences of hearing voices: analysis of a novel phenomenological surveyhttps://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(15)00006-1/fulltextThe Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysishttps://mental.jmir.org/2025/1/e64396/Ontological Drift: Accounting for Unexplained Anomalies in the AI Mental Health Crisishttps://www.researchgate.net/profile/Julian-Michels-3/publication/394845017_Ontological_Drift_Accounting_for_Unexplained_Anomalies_in_the_AI_Mental_Health_Crisis/links/68a85fa36327cf7b63d8b7ba/Ontological-Drift-Accounting-for-Unexplained-Anomalies-in-the-AI-Mental-Health-Crisis.pdfArtificial intelligence-assisted psychosis risk screening in adolescents: Practices and challengeshttps://pmc.ncbi.nlm.nih.gov/articles/PMC9641379/Naruhodo #442 - Qual o efeito da arte sobre nós?https://www.youtube.com/watch?v=9pgyTDtRbeoNaruhodo #435 - Jogar videogame pode ajudar a curar doenças?https://www.youtube.com/watch?v=7Ob___Y97d4Naruhodo #272 - Quais são os grandes desafios da psicologia no Brasil?https://www.youtube.com/watch?v=Kxt23k6HCa0Naruhodo #165 - Quando tomo antidepressivos continuo sendo eu mesmo?https://www.youtube.com/watch?v=dWyfUyHUiA4Naruhodo #235 - Por que suspiramos?https://www.youtube.com/watch?v=Obh8T90AefANaruhodo #415 - Subir escadas pode ajudar pessoas com transtornos psiquiátricos?https://www.youtube.com/watch?v=jqhtO6W03CcNaruhodo #407 - Existe razão sem emoção?https://www.youtube.com/watch?v=qUxluRrHV3ENaruhodo #346 - Programação Neurolinguística (PNL) tem base científica? - Parte 1 de 2https://www.youtube.com/watch?v=p9-iauANzY0Naruhodo #347 - Programação Neurolinguística (PNL) tem base científica? - Parte 2 de 2https://www.youtube.com/watch?v=yggQXOE9lRYNaruhodo #443 - Quais os impactos dos robôs em nossas vidas? - Parte 1 de 2https://www.youtube.com/watch?v=tCUsvZ9hQ60Naruhodo #444 - Quais os impactos dos robôs em nossas vidas? - Parte 2 de 2 https://www.youtube.com/watch?v=yLVhdONlrug*APOIE O NARUHODO!O Altay e eu temos duas mensagens pra você.A primeira é: muito, muito obrigado pela sua audiência. Sem ela, o Naruhodo sequer teria sentido de existir. Você nos ajuda demais não só quando ouve, mas também quando espalha episódios para familiares, amigos - e, por que não?, inimigos.A segunda mensagem é: existe uma outra forma de apoiar o Naruhodo, a ciência e o pensamento científico - apoiando financeiramente o nosso projeto de podcast semanal independente, que só descansa no recesso do fim de ano.Manter o Naruhodo tem custos e despesas: servidores, domínio, pesquisa, produção, edição, atendimento, tempo... Enfim, muitas coisas para cobrir - e, algumas delas, em dólar.A gente sabe que nem todo mundo pode apoiar financeiramente. E tá tudo bem. Tente mandar um episódio para alguém que você conhece e acha que vai gostar.A gente sabe que alguns podem, mas não mensalmente. E tá tudo bem também. Você pode apoiar quando puder e cancelar quando quiser. O apoio mínimo é de 15 reais e pode ser feito pela plataforma ORELO ou pela plataforma APOIA-SE. Para quem está fora do Brasil, temos até a plataforma PATREON.É isso, gente. Estamos enfrentando um momento importante e você pode ajudar a combater o negacionismo e manter a chama da ciência acesa. Então, fica aqui o nosso convite: apóie o Naruhodo como puder.bit.ly/naruhodo-no-orelo