Podcasts about ai podcast

Implement AI deploys teams of digital workers that work together to boost growth, increase capacity, optimise costs, and improve customer and prospect engagement.Through our AI Operating System (AIOS), a fully managed AI Agent Platform built around Agent Teams, an Agentic CRM, and an Agentic Task Engine, businesses can start with a single digital worker and scale to 50 or more across departments such as sales, support, analysts, and computer use. All setup and configuration is fully handled, so no technical expertise is needed.With more than 600 integrations, organisations save time, increase productivity, and scale faster. Grow your workforce, not your payroll.Learn more at www.implementai.ioIn this episode of Implement AI Podcast, hosts Piers Linney MBE and Dr Aalok Shukla break down real-world AI agent deployments already delivering measurable business results across industries including healthcare, insurance, lettings, and field services. The conversation explores how interactive agents, action agents, and analyst agents work together to increase revenue, free up human capacity, and improve customer experience. From uncovering hidden cross-sell opportunities in phone calls to automating repetitive admin work and enabling 24/7 operational oversight, this episode focuses on one thing: practical AI that actually brings in results. Hosted on Acast. See acast.com/privacy for more information.

At NAB 2026, Chuck Joiner talks with Ryan Burke, Portfolio Director for RØDE about the new RodeLink 2 UHF wireless system, developed with Lectrosonics expertise. The discussion covers interference-resistant UHF performance, 32-bit float recording, timecode, adaptive power, battery life, and removable storage media.  Ryan also provided a look at the new RODECaster Studio AI audio editing app for podcasters.  Show Notes: Chapters: 00:03 Introduction from NAB 2026 00:10 Why RØDE remains a favorite stop at the show 00:33 Introducing the RodeLink 2 UHF wireless system 01:04 How Lectrosonics expertise influenced the new system 01:22 Why UHF helps avoid interference and body blocking 01:50 Receiver, transmitters, and creator-focused design 02:04 32-bit float recording, timecode, and USB output 02:45 Receiver-based control and sub-gigahertz communication 03:14 Starting and stopping transmitter recording remotely 03:35 Automatic frequency scanning and backup frequency hopping 04:10 Adaptive output power and battery optimization 04:46 Timecode accuracy and sync performance 05:17 Pricing, availability, and included accessories 05:38 Battery life expectations in different production settings 06:14 MicroSD recording and removable storage 06:42 RodeLink 2 as the standout product of the show 07:04 Introducing the RODECaster Studio app 07:30 AI-assisted podcast editing and highlight creation 08:04 Removing filler words, profanity, false starts, and mistakes 09:00 Regenerating corrected spoken words with natural cadence 10:03 Speaker recognition and saved audio fingerprints 12:34 Pricing, beta access, and subscription tiers 13:17 Rodecaster hardware integration and cloud upload workflow 13:49 Security questions around AI cloud processing 14:12 RØDE's in-house infrastructure and processing approach 14:48 Waitlist information and wrap-up Links: Sign up link for RØDECASTER STUDIO: https://studio.rode.com Support: Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect: Web:      http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices Mastodon:      https://mastodon.cloud/@chuckjoiner Facebook:      http://www.facebook.com/chuck.joiner MacVoices Page on Facebook:      http://www.facebook.com/macvoices/ MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice LinkedIn:      https://www.linkedin.com/in/chuckjoiner/ Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

At NAB 2026, Chuck Joiner talks with Ryan Burke, Portfolio Director for RØDE about the new RodeLink 2 UHF wireless system, developed with Lectrosonics expertise. The discussion covers interference-resistant UHF performance, 32-bit float recording, timecode, adaptive power, battery life, and removable storage media.  Ryan also provided a look at the new RODECaster Studio AI audio editing app for podcasters.  Show Notes: Chapters: 00:03 Introduction from NAB 2026 00:10 Why RØDE remains a favorite stop at the show 00:33 Introducing the RodeLink 2 UHF wireless system 01:04 How Lectrosonics expertise influenced the new system 01:22 Why UHF helps avoid interference and body blocking 01:50 Receiver, transmitters, and creator-focused design 02:04 32-bit float recording, timecode, and USB output 02:45 Receiver-based control and sub-gigahertz communication 03:14 Starting and stopping transmitter recording remotely 03:35 Automatic frequency scanning and backup frequency hopping 04:10 Adaptive output power and battery optimization 04:46 Timecode accuracy and sync performance 05:17 Pricing, availability, and included accessories 05:38 Battery life expectations in different production settings 06:14 MicroSD recording and removable storage 06:42 RodeLink 2 as the standout product of the show 07:04 Introducing the RODECaster Studio app 07:30 AI-assisted podcast editing and highlight creation 08:04 Removing filler words, profanity, false starts, and mistakes 09:00 Regenerating corrected spoken words with natural cadence 10:03 Speaker recognition and saved audio fingerprints 12:34 Pricing, beta access, and subscription tiers 13:17 Rodecaster hardware integration and cloud upload workflow 13:49 Security questions around AI cloud processing 14:12 RØDE's in-house infrastructure and processing approach 14:48 Waitlist information and wrap-up Links: Sign up link for RØDECASTER STUDIO: https://studio.rode.com Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Why Supply Chain Visibility Is One of the Most Consequential and Underestimated Applications of AI in the EnterpriseGuest: Ilya Levtov, Founder and CEO at Craft.co Host: Seth Earley, CEO at Earley Information Science Published on: June 1, 2026In this episode, Seth Earley speaks with Ilya Levtov, Founder and CEO of Craft.co, a supplier intelligence platform that uses AI and knowledge graphs to give enterprises and government agencies visibility into their full supply networks. They explore why most organizations believe they have adequate supply chain visibility when they do not, why a simple risk score will always mislead, and how cross-correlating data streams surfaces risks that no human - and no generic LLM - would ever find alone. Ilya shares candid and specific insights on building knowledge graphs for mission-critical infrastructure, why only one percent of enterprise knowledge exists inside today's LLMs, and how the give-to-get model is turning supply chain intelligence into a shared strategic asset.Key Takeaways:Most enterprises believe their top-supplier relationships give them adequate visibility - but the middle and long tail of a supply network, which can run to 20,000 or 30,000 suppliers, remains almost entirely opaque.Supply chain is a misnomer - it is a complex, multi-dimensional network where companies are simultaneously suppliers, customers, and competitors to each other.A simple risk score is not meaningful and not actionable; supplier risk is deeply contextual and requires human judgment to weigh cost, probability, and consequence together.Cross-correlating data streams reveals hidden risks that no single source can surface - including correlations between employee morale and cybersecurity vulnerability that have proven highly predictive.Only approximately one percent of enterprise knowledge exists inside today's LLMs - which is exactly why a specialized knowledge graph grounded in proprietary data is essential before applying AI.AI has compressed analyst work on a supplier report from eight hours to under 30 minutes - but the decision of what to do with those findings still requires human judgment and always will.The give-to-get model and supplier passporting allow enterprises to share intelligence across a shared supply network without compromising their own competitive position.Insightful Quotes:"Only 1% of enterprise knowledge approximately exists inside the LLMs today. Companies don't want to give all of their data to the LLMs. Data providers don't want to give it for free either. That's why you need a specialized approach - leverage the power of the models on your own data set and on your knowledge graph." - Ilya Levtov"A financially vulnerable supplier becomes a target for adversarial capital - entities coming in from unfriendly nations looking to survive. You're connecting two different data sets, connecting entities, and getting to a very significant risk insight you need to act on before it becomes a problem for your enterprise." - Ilya Levtov"Organizations compete on their knowledge - knowledge of customers, knowledge of solutions, knowledge of supply chains, knowledge of routes to market. Those are competitive advantages. You do not want those inside an LLM. That is why doing this in a way that is internal and proprietary is so important." - Seth EarleyTune in to discover why supply chain visibility is one of the most important and most underestimated applications of AI in the enterprise today - and what it actually takes to build intelligence at the scale the problem demands.LinksLinkedIn: https://www.linkedin.com/in/ilya-levtov/ Website: https://www.craft.coThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Deterministic AI Sets the Roadmap for Safer Communications, ICA AI Podcast. Rather than sending every word of every conversation into a large language model, Christensen describes a model where much of the decision-making is based on known patterns, trusted relationships, keywords, context, policy, and call behavior. In sensitive verticals such as financial services, healthcare, legal services, and government, that can be especially important because communications may involve private data, personally identifiable information, account details, medical information, or other sensitive content By Doug Green “As AI gets more powerful, the question is not simply whether it can answer a prompt. The question is whether it can be trusted in the communications path,” says Gerry Christensen, associate founder of ICA AI. “For high-security communications, deterministic AI is not just different. In many cases, it is necessary.” In this Technology Reseller News podcast, Gerry Christensen of ICA AI joins Doug Green to define an important distinction that is becoming central to the future of AI-powered communications: probabilistic AI versus deterministic AI. The conversation is less about a single product announcement and more about setting out a roadmap. Christensen explains why most people experience AI through probabilistic systems, including large language models that generate answers based on patterns, probabilities and prompts. Those tools can be powerful, but they can also hallucinate, miss context, or create outputs that sound confident while being wrong. For communications providers, MSPs, UCaaS providers, MVNOs and telecom resellers, Christensen argues that this distinction matters because voice networks are entering an era where AI will be used on both sides of the call. Legitimate businesses will use AI in contact centers. Bad actors will use AI to scale fraud, spoofing, robocalls and deepfake-style attacks. Consumers and enterprises will increasingly need AI to help determine which calls should get through, which calls should be challenged, and which calls should be blocked. ICA AI, short for Intelligent Communications Assistant, is built around that problem. Christensen describes the platform as an AI-based assistant that can support outbound calling and, perhaps more importantly, inbound call handling. The goal is to allow trusted calls from colleagues, friends, family and legitimate businesses to pass through, while filtering unwanted or suspicious calls. The core idea is determinism. Rather than sending every word of every conversation into a large language model, Christensen describes a model where much of the decision-making is based on known patterns, trusted relationships, keywords, context, policy and call behavior. In sensitive verticals such as financial services, healthcare, legal services and government, that can be especially important because communications may involve private data, personally identifiable information, account details, medical information or other sensitive content. Christensen gives the example of a financial services call. A probabilistic AI system might need to listen broadly and process the conversation through an LLM to determine intent. A deterministic system, by contrast, can look for specific markers of trust or risk: whether the caller is known, whether the call matches expected behavior, whether suspicious phrases appear, or whether the interaction moves toward unusual requests such as gift cards, new account instructions or other red flags. That approach, Christensen says, also has implications for cost, latency and scale. If most decisions can be made deterministically, the system does not need to rely on a distant AI data center for every interaction. That can reduce exposure of sensitive data, lower dependency on token-heavy AI processing, and support faster call-handling decisions. Christensen says ICA AI's approach relies on deterministic AI for roughly 85% to 95% of transactions. He connects that idea to Zipf's Law, the linguistic principle that a relatively small portion of language often carries much of the meaning. In communications, that means many call-handling decisions may not require open-ended AI interpretation. They may require the right data, the right rules, and the right deterministic understanding of what matters in the moment. The roadmap Christensen lays out is not anti-LLM and not anti-probabilistic AI. Instead, it is a layered model. Probabilistic AI can still be used when needed, especially when a conversation falls outside known patterns or requires deeper interpretation. But for high-security, high-volume communications, Christensen argues that deterministic AI should carry more of the load. For MSPs, channel partners and telecom providers, the message is direct: AI call management may become a new category of value-added service. As agentic AI increases the volume and sophistication of automated calls, enterprises and consumers will need tools that can help them determine whether a call is authentic, legitimate and safe. Christensen compares the coming environment to an arms race. AI will make fraud more scalable, but AI can also make communications more defensible. The providers that begin testing, integrating and understanding these capabilities early may be better positioned to offer customers a practical answer to a growing trust problem in voice communications. “Everybody is going to need to have an AI-based solution for consumers to handle inbound calls,” Christensen says. “In the world of agentic AI, it is conceivable that networks could be plastered with AI-generated calls.” Learn more: ICA AI: https://icai.ai/

Farzad returns to the podcast for an in-depth discussion about the future of AI. Our kids will grow up in a world shaped by artificial intelligence. This episode emphasizes the importance of understanding the ai future and how it impacts the future of work. Dads are encouraged to embrace ai literacy to prepare themselves and their children for the evolving landscape, fostering ai innovation rather than fear. About Farzad: Farzad has spent over a decade studying and working inside the world of technology — first as a Tesla insider, then as a full-time creator and analyst exploring how AI, automation, and human ingenuity are shaping the next era of civilization. It's about understanding where the world is actually heading — through the lens of real data, human behavior, and first-principles thinking. From the rise of AI-driven industries and autonomous systems to the economics behind innovation, his goal is to make complex ideas accessible — to help people see how these massive shifts connect, and what they mean for our future. He even wrote a book outlining this entire thesis - Abundance or Collapse. Follow Farzad: Website: https://farzad.fm/

Implement AI deploys teams of digital workers that work together to boost growth, increase capacity, optimise costs, and improve customer and prospect engagement.Through our AI Operating System (AIOS), a fully managed AI Agent Platform built around Agent Teams, an Agentic CRM, and an Agentic Task Engine, businesses can start with a single digital worker and scale to 50 or more across departments such as sales, support, analysts, and computer use. All setup and configuration is fully handled, so no technical expertise is needed.With more than 600 integrations, organisations save time, increase productivity, and scale faster. Grow your workforce, not your payroll.Learn more at www.implementai.ioIn this Greatest Hits episode of The Implement AI Podcast, hosts Piers Linney and Dr. Aalok Y. Shukla pull together the moments where AI shifted from being theoretical and started affecting how businesses actually operate. The conversations centre on using AI as a working layer inside the business, digital workers handling calls, tickets, research, and follow-ups, capacity measured in outputs rather than headcount, and teams redesigned around what humans do best. Together, these insights speak directly to leaders under pressure to move faster, serve more customers, and grow without continually adding people.In this episode of The Implement AI Podcast, hosts Piers Linney and Dr. Aalok Y. Shukla recall some of the series' greatest hits, reflecting on the moments that show why AI adoption is no longer a technology conversation alone. Across key conversations featuring Andrew Gaule and Minister Kanishka Narayan MP, they explore why AI must be treated as a board-level priority, how digital workers are changing business capacity, why skills and ownership matter as much as tools and what it takes to move from pilots to production AI infrastructure. These expert insights offer a practical roadmap for leaders who want to stop experimenting around the edges and start implementing AI to create true value. Hosted on Acast. See acast.com/privacy for more information.

Why Voice Is Not a Solved Problem - and What Real-Time Audio Intelligence Changes for Enterprise AIGuest: Mike Pappas, CEO at ModulateHost: Seth Earley, CEO at Earley Information ScienceIn this episode, Seth Earley speaks with Mike Pappas, CEO of Modulate, whose work began in gaming - one of the most demanding environments for real-time voice intelligence - and has since expanded to enterprise applications including fraud detection, customer abuse prevention, AI agent guardrails, and sales coaching. They explore why transcription is not the same as understanding, what gets lost when audio is reduced to text, and why voice is the most powerful tool fraudsters have. Mike shares candid and specific insights on deepfake detection, the fine line between safety and surveillance, and what organizations need to put in place before deploying voice AI at scale.Key Takeaways:Transcribing voice and understanding voice are not the same thing - intonation, emotion, cadence, and timbre carry information that transcripts cannot capture.Voice AI demos are typically built for pristine environments; the real challenge is building systems that hold up under noise, jargon, and emotional complexity in production.Real-time intervention changes behavior more effectively than after-the-fact review - feedback delivered in the moment produces measurable reductions in repeat offenses.Voice is the most powerful tool for manipulation because it bypasses rational judgment by triggering emotional responses - and AI is now making voice fraud scalable.AI voice agents cannot introspect - they cannot tell when a call is going wrong, which is why a separate supervisory layer is essential for any enterprise voice deployment.The line between safety systems and surveillance systems is real; collecting and storing only what is necessary for the specific risk being addressed is both a privacy and a trust requirement.Before deploying any voice AI, organizations need to define their KPIs clearly - if the system is driving customer satisfaction down, the deployment is failing regardless of what else it is doing.Insightful Quotes:"When you hear a voice, you hear the intonation, you hear the emotion, you hear pregnant pauses - there is so much information being carried in that audio that gets lost when you pull down to a transcript. And whenever we talk to someone who professionally works in a contact center, they are always saying, we know these transcripts are losing tons of good value." - Mike Pappas"If I am actively harassing you and the platform is able to come in and put a stop to it live in the conversation, that feedback actually systematically changes behavior. Getting an email 30 minutes later saying we noticed you did something wrong - that just infuriates people, it does not lead to change." - Mike Pappas"There is a fine line between safety systems and surveillance systems. How do you design voice AI that improves safety and trust but does not cross that boundary that makes users and employees uncomfortable?" - Seth EarleyTune in to discover why real-time voice intelligence is one of the most consequential and least understood frontiers in enterprise AI - and what organizations need to get right before they deploy.LinksLinkedIn: https://www.linkedin.com/in/mike-pappas-9a30a858/Website: https://www.modulate.ai Thanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Why Centralization Is the Wrong Foundation for AI - and What Organizations Need to Build InsteadGuest: Todd Barr, CEO at Axonis.aiHost: Seth Earley, CEO at Earley Information SciencePublished on: May 13, 2026In this episode, Seth Earley speaks with Todd Barr, CEO of Axonis.ai, a company spun out of a government defense integrator that is bringing federated AI and decision intelligence to high-consequence enterprise workflows. They explore why the demo-to-production gap is one of the most costly misconceptions in enterprise AI today, why centralization was built for business intelligence and not for AI, and what it really means to send your AI to your data rather than the other way around. Todd shares a candid and direct perspective on decision artifacts, AI cost exposure, the risks of vendor lock-in, and why enterprises that give away how they make decisions may be giving away the most valuable thing they own.Key Takeaways:The demo-to-production gap is a form of malpractice - polished AI demos built on curated data create executive expectations that production reality cannot meet.Centralized data infrastructure was built for business intelligence, not AI - it is optimized for reporting, not reasoning or prediction.The premise of agentic AI is decentralization - if agents have to wait for data to be synced and centralized before acting, the architecture is working against itself.Data resists centralization for three distinct reasons: technical constraints, regulatory and compliance requirements, and organizational politics.Decision artifacts - cryptographically sealed records of data used, model applied, and reasoning followed - turn AI-assisted decisions into auditable, improvable corporate assets.Enterprises now face a clear choice: pay in tokens, pay in vendor lock-in, or invest in owning their own AI infrastructure through open source models.How an organization makes decisions is its most proprietary asset - giving that context to a third-party AI platform may be the most consequential thing enterprises are doing right now without fully understanding it.Insightful Quotes:"The misconception is really the gap between prototype and reality, and that's where a lot of these things are falling down right now. Getting people excited about something they can't have is almost malpractice." - Todd Barr"Centralization is almost a fallacy in itself. Whenever you are using data you are changing it, enriching it, doing something with it. It is a fractal nature of data that defies the whole concept of centralization." - Seth Earley"If I'm an enterprise, what do I own in this day and age? I own how I make decisions. Which data I use to make those decisions. If we are just going to give that away, that is like giving our brain away." - Todd BarrTune in to discover why the most important AI infrastructure decision an enterprise can make right now is not which model to use - but whether they are building a foundation they actually own.LinksLinkedIn:   / tbarr  Website: https://axonis.aiThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Explore the impact of Global Accessibility Awareness Day (GAAD 2026) with Steven Scott, Shaun Preece, and guest Joe Devon, co-founder of the event. Learn how AI, vibe coding, and personalised apps are reshaping accessibility while uncovering the ongoing challenges faced by developers and users alike. This episode of Double Tap dives into the 15th anniversary of GAAD, reflecting on progress and persistent barriers in digital accessibility. Steven and Shaun discuss the debate around whether GAAD should be celebrated, given that over 90% of websites remain inaccessible to many users. Guest Joe Devon shares insights into the origins of GAAD, its mission to raise awareness among developers, and the state of accessibility in 2026. The conversation explores: The tension between celebrating accessibility wins and recognising ongoing failures. How AI coding tools like Claude and OpenAI Codex are empowering blind users to create personalised solutions. The role AI can play in generating alt text and bridging accessibility gaps for websites and apps. The future of digital experiences where universal interfaces and personalisation may redefine accessibility. Relevant Links Global Accessibility Awareness Day: https://accessibility.day WebAIM Million Report: https://webaim.org/projects/million Accessibility and AI Podcast: https://podcasts.apple.com/gb/podcast/accessibility-and-gen-ai-podcast/id1759047581 ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

He helped build the infrastructure that runs the modern internet. First AWS. Then Oracle Cloud Infrastructure. Then Heroku. Then Stripe. Now he's at Docker — and he thinks we're about to need a completely new layer underneath all of it.When Mark Cavage, President & COO of Docker, joined the company, the question wasn't whether agents were coming. It was whether the infrastructure underneath them was ready.It wasn't.Before anyone was talking about agentic workloads in production…Before AI tools started writing, running, and deploying their own code…Before CISOs had a framework for reasoning about autonomous systems…There was a simple but uncomfortable realization:Containers were built for immutable, predictable software. Agents want to mutate everything.In this episode of the Future of Data & AI Podcast, Mark Cavage — President & COO of Docker and one of the founding engineers of Oracle Cloud Infrastructure — joins Raja Iqbal for a candid conversation about what the agentic era actually demands from infrastructure.Mark has spent over two decades building the systems that power modern cloud. Through Docker, he's now working on the sandbox layer that lets enterprises deploy agents at scale — without handing over control to a system nobody fully understands yet.This conversation goes beyond the hype.What You'll Discover:Why containers alone aren't enough for the agentic era.Containers were built for immutable software. Agents mutate, write, and act — and Mark explains exactly what breaks, and what Docker built to fix it.What YOLO mode actually means — and why it matters.Agents running without a human in the loop sounds reckless. Mark explains why that's actually the goal, and how the micro VM sandbox makes it safe enough for enterprise.The 1000x risk surface no one is talking about.Every AI-generated pull request, every "authored by Claude" commit, every autonomously deployed dependency is stacking security debt. Mark breaks down what that means for your CISO.Trusted MCP servers and Docker Hardened Images.What they are, why they exist, and why supply chain security for AI tools is about to become one of the most important conversations in enterprise tech.Mark's bets for the next 12 months.CFOs demanding ROI on token spend, the open source project that no one is talking about, and what the future of Agentic AI looks like.This episode is for:ML engineers and DevOps teams building with agentsCISOs and security leaders managing a 1000x larger risk surfacePlatform and infrastructure leads evaluating MCP servers and supply chain securityCTOs and engineering leaders figuring out what "agentic" actually means for their orgFounders deciding where the next infrastructure layer gets builtThis isn't a conversation about demos or roadmaps.It's about the infrastructure that agents actually need to run safely, reliably, and at scale — and whether the industry is building it fast enough.If you're deploying agents in production, managing the security conversation, or trying to understand where Docker fits in the agentic stack… this episode is worth your time.Explore all recordings

Implement AI deploys teams of digital workers that work together to boost growth, increase capacity, optimise costs, and improve customer and prospect engagement.Through our AI Operating System (AIOS), a fully managed AI Agent Platform built around Agent Teams, an Agentic CRM, and an Agentic Task Engine, businesses can start with a single digital worker and scale to 50 or more across departments such as sales, support, analysts, and computer use. All setup and configuration is fully handled, so no technical expertise is needed.With more than 600 integrations, organisations save time, increase productivity, and scale faster. Grow your workforce, not your payroll.Learn more at www.implementai.ioIn this episode of Implement AI Podcast, hosts Piers Linney MBE and Dr Aalok Shukla dive deep into AOS Command - a revolutionary layer above their workforce platform that connects all your business systems into one conversational interface. Think HubSpot, Pipedrive, Outlook, monday.com, and 900+ integrations. Tune in to discover how to gain complete visibility into your operations with instant insights, eliminate time-wasting meetings through real-time data access, automate complex knowledge work across your entire organisation and potentially 2-3x your productivity without introducing new tools. This is the full story on why Command represents the frontier of intelligent business operations. Hosted on Acast. See acast.com/privacy for more information.

Guest: Steven Woo, Fellow and Distinguished Inventor at RambusHost: Seth Earley, CEO at Earley Information SciencePublished on: May 5, 2026In this episode, Seth Earley speaks with Steven Woo, Fellow and Distinguished Inventor at Rambus, where he has spent over 30 years at the frontier of memory technology. They explore why memory - not compute - is the binding constraint on AI performance today, how moving data between chips consumes more than half of all power in a high-end AI processor, and what the rise of agentic AI means for infrastructure planning. Steven shares a rare long-view perspective on the innovation curve for memory technology, the supply-demand dynamics driving prices higher, and the questions enterprise leaders should be asking before signing their next infrastructure contract.Key Takeaways:Memory, not compute, is the primary bottleneck limiting AI performance - and the gap between processor speed and memory speed is widening, not closing.Over 50 percent of the power consumed by high-end AI processors is spent simply moving data on and off the chip, not performing computation.Stacking memory components closer together can reduce energy costs dramatically but introduces new challenges around heat dissipation and power delivery.Training and inference have very different memory profiles - understanding both is essential for organizations architecting AI infrastructure at scale.Agentic AI compounds the memory challenge significantly, because one user can spin up multiple agents that each spawn further agents, multiplying context and capacity demands.Memory prices have risen sharply due to supply-demand imbalance - organizations are now signing long-term supply agreements to lock in capacity, just as they do for power.The most important question enterprise leaders can ask their infrastructure providers is how much experience and demonstrated reliability they have - downtime during model training can be catastrophic.Insightful Quotes:"Memory has become a big bottleneck. In many cases, in AI, your speed at which you can actually process information and create new large language models is really gated by the speed and availability of memory." - Steven Woo"More than 50 percent of the power is spent in circuits just trying to move data on and off the processor. It's pretty astounding to think that as companies plan how much power they need, a lot of it is really related to simply moving data back and forth." - Steven Woo"People think of compute in terms of gigawatts. But it turns out it's really the movement of that data - and nobody talks about that. It's the silhouette behind the curtain that's actually constraining everything else." - Seth EarleyTune in to discover why the future of AI depends as much on memory engineering as it does on model development - and what enterprise leaders need to understand about the infrastructure constraints shaping every AI investment they make.LinksLinkedIn: https://www.linkedin.com/in/stevencwoo/Website: https://www.rambus.comThanks to our sponsors:VKTREarley Information ScienceAI Powered Enterprise Book

Hi, I’m your host Sayuri. I recently attended one of Asia's largest global innovation conferences “SusHi Tec Tokyo”. It was an incredibly high-energy space where the world's leading experts, entrepreneurs, and investors gathered all together for collaborations. I realized something profound: if you are currently battling challenges, setbacks, or what feel like disadvantages, they might just become your greatest assets. We are entering an era where you can truly change the game. Today, let's explore the possibilities and risks of AI together, and see how we can turn those challenges into our greatest strengths. 皆さんこんにちは、Sayuriです。 先日、アジア最大級のグローバル・イノベーション・カンファレンス「Sushi Tech Tokyo」に招待いただき、参加してきました。会場は、世界中の最先端テクノロジー、専門家、起業家、そして投資家たちが集まり、コラボレーションがその場で瞬時に決まっていくような、エネルギッシュな空間でした。 ただ、目的を持たずに歩くと圧倒されて疲れてしまうほど、情報の密度が濃く、エネルギッシュな場所でもあります。最近、教育やキャリアのためのAIシステムを開発している私にとっても、インスピレーションに溢れる宝庫でした。「AI x 未来」についての気づきを皆さんともシェアしたいと思います。

By Doug Green “V70 is the kind of release that shows how fast business communications is evolving—and how Vodia is evolving with it.” In this Technology Reseller News podcast, I spoke with Eric Altman of Vodia about the company's new PBX V70 release and why it matters for partners, service providers and the broader business communications market. Vodia develops phone system software and sells through the channel, with partners combining the software with SIP trunks, phones and related services to deliver complete solutions to customers. The platform can be deployed in the cloud or on premises, although cloud deployment continues to be the dominant direction for the market. What stands out about V70 is that this is not just another version update. Vodia is positioning it as a major redesign, led by a completely revamped Admin Portal built for speed, clarity and easier day-to-day management. The company says the new interface is designed to help administrators find settings faster, make changes more confidently and manage one tenant or hundreds with less friction and fewer errors. The AI story is also central to the release. Vodia says V70 brings built-in AI capabilities into the core platform experience, including AI-assisted PBX administration, AI voice agents and automation designed to reduce repetitive setup work. On the V70 page, the company describes AI as a way to turn routine configuration into a more conversational process, while also improving call handling through digital receptionist capabilities and intelligent workflows. That is an important point for the channel. The value proposition around business communications is no longer only about voice. It is increasingly about visibility, automation and control. V70 adds real-time dashboards, customizable wallboards, agent activity views, queue analytics and call recording and transcription tools that give partners and customers more insight into system performance and user activity. There are also practical enhancements aimed squarely at operational efficiency. Vodia says V70 includes smarter alerts, multicore and multithreaded performance improvements, centralized provisioning, system snapshots, cross-tenant presence and WhatsApp integration as an additional messaging channel. Taken together, those additions show a platform that is being shaped not just for core telephony, but for broader communications management in modern customer and business environments. For MSPs, resellers and service providers, that makes this release especially relevant. A platform that is easier to administer, stronger under load and increasingly infused with AI gives partners more ways to differentiate their offers and support customers at scale. The larger takeaway from my conversation with Altman is that Vodia sees the PBX evolving into something more intelligent and more operationally valuable than the traditional phone systems of the past. Learn more at: https://web.vodia.com/pbx-v70

AI is the secret weapon entrepreneurs and content creators can no longer afford to ignore. It has quickly become essential for scaling ideas, creating content faster, and staying competitive. In this final episode of the YAPCreator Series Replay, Hala Taha dives into how artificial intelligence is reshaping content creation and entrepreneurship. You'll hear from top business and tech leaders, including Reid Hoffman, Tom Bilyeu, and Jen Gottlieb, as they explore ways to leverage AI to enhance your creative process, improve productivity, and maintain a competitive edge. In this episode, Hala will discuss:  (00:00) Introduction (01:56) Why AI Is Essential for Entrepreneurs (04:50) AI and the Rise of Solopreneurs (09:54) AI's Real Impact on the Future of Work (11:59) Using ChatGPT as a Content Assistant (15:25) How AI Is Supercharging Human Creativity (18:42) Ken Okazaki's AI Formula for Viral Hooks (20:34) Podcasting and AI Marketing Trends (25:39) Will AI Disrupt Content Creation Entirely? (31:48) Reid Hoffman on AI Agents and What's Next  Hala Taha is the host of Young and Profiting, a top 10 business and entrepreneurship podcast on Apple and Spotify. She's the founder and CEO of YAP Media, an award-winning social media and podcast production agency, as well as the YAP Media Network, where she helps renowned podcasters like Russell Brunson, Jenna Kutcher, and Neil Patel grow and monetize their shows. Through her work, Hala has become one of the most influential creator entrepreneurs in podcasting. Sponsored By: Huel - Get over $50 in savings with the Discovery Bundle from Huel. Use my exclusive code YAP15 for 15% off at huel.com/yap15. Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting   Resources Mentioned: YAP E254 with Jen Gottlieb: youngandprofiting.co/4324ayp YAP E291 with Gary Vaynerchuk: youngandprofiting.co/41DRxcd YAP E252 with Harley Finkelstein: youngandprofiting.co/4i2IYN5 YAP E230 with Ken Okazaki: youngandprofiting.co/3Ervwnx YAP E226 with Neil Patel: youngandprofiting.co/4gqjng0 YAP E316 with Kat Norton: youngandprofiting.co/40I34q4 YAP E155 with Kelly Roach: youngandprofiting.co/4h1LfrD  YAPCreator Replay E1: youngandprofiting.co/YCR-E1 YAPCreator Replay E2: youngandprofiting.co/YCR-E2 YAPCreator Replay E3: youngandprofiting.co/YCR-E3 YAPCreator Replay E4: youngandprofiting.co/YCR-E4  YAPCreator Replay E5: youngandprofiting.co/YCR-E5  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, AI in Action, Generative AI, AI for Entrepreneurs, AI Podcast

Episode Summary:Will and Brandt continue to dig into the rapidly evolving world of agentic AI, with Will sharing hard-won lessons from burning through his OpenAI Codex quota and the growing appeal of Claude Cowork's new ability to run and manage tasks remotely from your phone. They also cover NVIDIA's OpenClaw announcement (NemoClaw), debate the rising anti-AI movement, and draw parallels between today's AI shift and the early days of the internet.Discussions Include:Managing AI credit quotas and the real cost of letting autonomous agents run unsupervisedClaude Cowork's remote phone control and what it means for agentic AI reaching everyday usersNVIDIA's OpenClaw fork and why a trusted brand name accelerates enterprise adoptionHow AI is changing the way we write, type, and interact with technology, including the death of the emdashThe anti-AI movement, AI slop, and why ignoring this technology may not be a long-term optionQuotable Quotes (Should you choose to share):     "My OpenClaw setup is a very capable executive assistant with the knowledge of the entire internet. And it runs 24/7." - Will Curran     "Nvidia wants to be the Levi's of the gold rush providing the picks and shovels and blue jeans." - Brandt Krueger     "It's like saying you're against the calculator when the calculator is sitting right there and can do the math problem for you." - Will Curran     "It's a paradigm shift. It is a big deal. It's not just a hype train. It's really changing the way that people are working." - Brandt Krueger     (note that "paradigm shift" was said in a snotty tone and not seriously)Thing of the Episode (TOTE):      Brandt: Rhino USA Folding Survival Shovel with Pick - rhinousainc.com/products/rhino-usa-survival-shovel      Will: Project Nomad - projectnomad.us

Künstliche Intelligenz hat Social Media Marketing und Online Marketing komplett verändert, denn im heutigen Zeitalter brauchst du eben kein zehnköpfiges Social Media Team mehr um 100k Abonnenten auf Instagram für dein Business aufzubauen, sondern du brauchst eingleich nur einen Laptop und 5 KI Tools. Welche 5 KI Tools das sind und welche Social Media Marketing Strategien aktuell am besten funktionieren um Reichweite aufzubauen in den sozialen Medien, erklärt Unternehmer Max Weiss in dieser neuen Episode des Next Level Business Podcast.

In this episode, I sit down with Bernard, co-founder of Ethon AI, to explore the seismic shift happening as machines move from simply reacting to truly understanding their own processes. We dive into how knowledge graphs, causal AI, and computer vision are transforming manufacturing—from chocolate factories in Switzerland to global giants like Siemens and Bosch. We discuss the real impact of connecting siloed industrial data, the journey from correlation to causation, and what it means for the people on the shop floor. Bernard shares concrete examples of AI-driven quality control, autonomous process optimization, and the evolving role of operators. Join me for a conversation that peeks into the future of manufacturing intelligence—and what it takes to build the digital quality engineers of tomorrow.

In this episode of Predictable B2B Growth, Javier sits down with sales leader and advisor Michael Muhlfelder to unpack what's really breaking modern revenue teams.They dive into why AI and automation are accelerating bad sales processes instead of fixing them, and why most teams are still missing the fundamentals—especially when it comes to qualification, signal detection, and true buyer understanding.Michael shares hard-earned lessons from decades in sales leadership, including the concept of moving from “pain” to “untenable” moments in buying decisions, why experience still matters in an AI-driven world, and how companies are unknowingly creating churn by ignoring customer signals.This is a straight talk conversation about getting back to what actually drives revenue: strong process, human connection, and disciplined execution—before layering in technology.Key TopicsThe evolution of sales from manual to automated processesThe importance of experience over age in leadershipDistinguishing between speed and process problems in AI adoptionThe role of signals in customer retention and churnThe significance of human-to-human connection in salesChapters00:00 Introduction to Sales Methodology03:34 Michael's Sales Journey06:45 The Concept of Sales as a Service09:30 Navigating the Chaos of Sales12:36 AI's Impact on Sales Processes15:34 The Importance of Qualification in Sales18:33 Reconnecting with the Human Element in Sales21:37 Understanding Pain Points and Financial Implications24:35 The Role of Senior Executives in Sales27:37 Closing Thoughts on Sales and Marketing Alignment27:56 Aligning Marketing and Sales for Revenue Success30:41 The Importance of Focus in Business32:39 The Role of AI in Customer Experience39:29 Understanding Customer Signals to Prevent Churn42:40 The Value of Experience in Business Leadership52:33 The Human Element in AI and BusinessResourcesThree Takes on AI Podcast - https://www.threetakesonai.com/podcastCalm Oceans Sales - https://calmoceansales.comMichael Muhlfelder on LinkedIn - https://linkedin.com/in/michaelmuhlfelderSend us Fan Mail Thanks for listening to Predictable B2B Growth.Want predictable pipeline (not random acts of marketing)? Run the Predictable Pipeline Diagnostic (15 min): https://boldermediasolutions.com/pipeline Subscribe to the newsletter: https://boldermediasolutions.com/newsletter Book a strategy call: https://boldermediasolutions.com/strategyMore episodes + show notes: https://boldermediasolutions.com/podcastConnect with Javier:LinkedIn: https://www.linkedin.com/in/javierlozanojr/ Website: https://boldermediasolutions.comIf the show helps, follow + leave a rating/review.

Nick Bostrom saw the AI revolution coming before it was taken seriously. When he warned about superintelligence in 2014, AI risk was dismissed by mainstream academia and the public. Now, as AI reshapes the future of work and human purpose, he has moved from warning about its risks to exploring a future where AI solves everything, and humans are left searching for new meaning. In this episode, Nick shares how artificial intelligence could end human labor and what that means for purpose, entrepreneurship, and humanity's future. In this episode, Hala and Nick will discuss: (00:00) Introduction (02:35) Are We Living in a Simulation? (11:48) Moral Implications of a Simulated Reality (22:28) The Fermi Paradox and the Doomsday Argument (30:29) Is AI Bigger Than the Industrial Revolution? (38:26) Three Types of AI and How They Work (41:43) The Risks of Advanced AI Systems (49:15) Finding Purpose in a Solved World (57:26) Beating Boredom and Artificial Purpose (01:08:07) Entrepreneurship's Place in an AI-Driven Future Nick Bostrom is a philosopher and leading expert on artificial intelligence and existential risk. He is the founding director of the now-defunct Future of Humanity Institute at Oxford University and the bestselling author of Superintelligence and Deep Utopia. His work has shaped global conversations on AI safety, long-term human survival, and the future of advanced technology. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay Huel - Grab nutritionally complete meals you can drink. Get 15% off with code PROFITING at huel.com/PROFITING AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting  Resources Mentioned: Nick's Book, Superintelligence: bit.ly/_Superintelligence  Nick's Book, Deep Utopia: bit.ly/DeepUtopia  Nick's Website: nickbostrom.com  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Action, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

Today's podcast is titled “Global Power in the Age of AI.” Featuring Dr. Paul Scharre, Executive Vice President and Director of Studies at the Center for a New American Security and author of Four Battlegrounds: Power in the Age of Artificial Intelligence about the US-China race for AI dominance, this episode from 2023 explores whether democracies can counter China’s long-term strategic thinking and the growing export of techno-authoritarian surveillance systems to over 80 countries worldwide. Join host Jim Falk, president emeritus of the World Affairs Council of Dallas/Fort Worth and Dr.Scharre as they discuss technological advancements and its effects on …

「挺你所想，與你一起生活的銀行」回饋加碼賺~好康別錯過！ 即日起至2026/8/31完成註冊網路投保會員、預約網路投保提醒並登錄可獲OPENPOINT點數；完成線上投保可抽旅遊金。 透過APP可一次查看保險資訊，線上快速投保。了解更多活動訊息 https://fstry.pse.is/95shus —— 以上為 Firstory Podcast 廣告 —— 吉時保共享汽車加碼險： https://fstry.pse.is/974fjm給付項目與限制請詳閱保單條款。商品字號：114年03月03日新安東京海上114商字第0020號函備查新安東京海上產險｜0800-369-168｜104台北市中山區南京東路三段130號8-13樓 —— 以上為 Firstory Podcast 廣告 —— 加入會員，支持節目： https://podcasthr2021.firstory.io/join 留言告訴我你對這一集的想法： 科技一直更新 AI把人復活 你同意嗎？#Podcast眾議院 -各平台連結樹

AI is reshaping the future of work faster than most people can keep up, and those who ignore it risk falling behind. As a six-time founder, Joshua Wöhle has seen firsthand how AI can outperform traditional workflows, leading him to build Rebel, an AI-first system designed to act as a second brain and unlock massive productivity. In this episode, Joshua breaks down how entrepreneurs and professionals can use artificial intelligence to stay competitive, adapt quickly, and build smarter, faster-growing businesses. In this episode, Hala and Joshua will discuss:  (00:00) Introduction (02:37) Why Ignoring AI Will Cost You Your Job (06:13) How to Prompt AI for Better Answers (13:20) What Is Rebel AI? (22:10) Building AI Skills and Agents from Scratch (31:35) The Origin Story of Mindstone AI (39:50) The Future of Work and Coding (51:14) Is AI Adoption an HR Problem? (01:05:25) Managing the Costs of AI Implementation (01:15:56) Balancing AI Automation with Human Control (01:24:10) Exploring the Best AI Tools in 2026 (01:27:48) Claude vs. ChatGPT: Which Is Better? Joshua Wöhle is the co-founder and CEO of Mindstone, an AI training platform that helps individuals and organizations build practical AI skills for real-world impact. A technologist and serial entrepreneur, he previously co-founded and served as CTO of SuperAwesome, a child-safe digital media company acquired by Epic Games. Today, he leads AI training programs and retreats that help professionals become confident, high-performing AI users. Sponsored By: Mindstone: Check out the upcoming AI Weekend Conferences at https://cherrypick.gg/hala Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Intuit - Start paying bills the smart way, not the hard way. Learn more at QuickBooks.com/billpay Huel - Grab nutritionally complete meals you can drink. Get 15% off with code PROFITING at huel.com/PROFITING AT&T Business - Power your small business with reliable connectivity from AT&T. Switch today at business.att.com.  Fabric - Protect your family with term life insurance from Fabric by Gerber Life. Apply today in just minutes at meetfabric.com/profiting  ZocDoc - Stop putting off those doctors' appointments. Find and instantly book a doctor you love today at Zocdoc.com/PROFITING  Blinkist - Turn the world's best nonfiction books into quick 15-minute reads or listens. Grab your free trial plus an exclusive 30% discount at blinkist.com/profiting  Resources Mentioned: Joshua's Website: mindstone.com  Joshua's LinkedIn: linkedin.com/in/joshuawohle  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Disclaimer: This episode is a paid partnership with Mindstone. Sponsored content helps support our podcast and continue bringing valuable insights to our audience. Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, Passive Income, Online Business, Solopreneur, Networking, AI Marketing, AI in Action, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

AI Podcast: https://open.spotify.com/show/3YKcAnUItKpN7y85cGZyM0?si=aJEHr5cTSHKuHVt-c6YxxQTwitter: https://twitter.com/AntiWokePodcastYoutube: https://www.youtube.com/@antiwokepodcast8381/featuredTik Tok: https://www.tiktok.com/@anti_woke_podcast

How to Build Big Infrastructure in Space: Insights from Lee Rosen LinkedIn: https://www.linkedin.com/company/thinkorbital Website: https://thinkorbital.com/ Email: marketing@thinkorbital.com Building infrastructure in space presents unique challenges, but it's essential for the future of the new space economy. In this post, we'll explore insights from Lee Rosen, co-founder and CEO of Think Orbital, as he discusses his journey from the U.S. Air Force to SpaceX, and how those experiences shaped his vision for creating infrastructure in outer space. About Lee Rosen Lee Rosen is the co-founder and CEO of Think Orbital, with an impressive background in the aerospace industry, including 23 years of service in the United States Air Force as an engineer and space operator. He played key roles at SpaceX, helping to establish their launch capabilities and innovate in the field of space technology. The Decision to Leave the Air Force Lee's journey began with a long career in the military, culminating in a pivotal moment when he escorted President Obama during a visit to SpaceX. This experience not only introduced him to Elon Musk but also opened his eyes to the potential of commercial space capabilities. He realized that the landscape was changing, and it was an opportune time to take risks and explore new avenues in the aerospace sector. Key Insights from Lee's Experience *Meeting Elon Musk:* Lee's first encounter with Musk was eye-opening. Musk's vision and unconventional thinking challenged the norms of the aerospace industry. Lee was particularly struck by Musk's questions regarding launch turnaround times and reusability, which led to revolutionary changes in space flight. The Evolution of the Space Market The space market has evolved dramatically since Lee's time at SpaceX. In the past, the U.S. relied heavily on foreign partnerships for space capabilities. Today, thanks to companies like SpaceX, launching satellites has become more accessible and affordable. Lee emphasizes that this change has spurred innovation and allowed new players, like Think Orbital, to emerge in the space industry. The Importance of Infrastructure *Building Larger Structures:* Think Orbital focuses on developing the tools necessary to construct larger infrastructure in space. This includes creating technologies like in-space welding capabilities, which are essential for assembling larger structures beyond Earth. Think Orbital's Mission Think Orbital was founded to address the challenges of building infrastructure in space. Their mission is to create tools and technologies that allow for larger construction projects in outer space. Lee discusses their focus on in-space welding technology, which is designed to handle the unique conditions of space, including vacuum environments. Key Takeaways *Embrace Innovation:* The aerospace industry is changing rapidly; embracing innovative technologies and challenging existing norms is crucial for success. *Build for the Future:* The need for larger infrastructure in space is evident, and companies like Think Orbital are leading the way in developing solutions to address these challenges. *Collaboration is Key:* Collaborating with talented individuals and fostering a culture of ownership among team members can drive success in the startup environment.  LEARN MORE: Thank you for tuning into this episode of the GovDiscovery AI Podcast with Mike Shanley. You can learn more about our Defense market intelligence solutions at GovDiscovery AI (https://www.govdiscoveryai.com/). To connect with our team directly, message the host Mike Shanley on LinkedIn. https://www.govdiscoveryai.com/

AI Podcast: https://open.spotify.com/show/3YKcAnUItKpN7y85cGZyM0?si=aJEHr5cTSHKuHVt-c6YxxQTwitter: https://twitter.com/AntiWokePodcastYoutube: https://www.youtube.com/@antiwokepodcast8381/featuredTik Tok: https://www.tiktok.com/@anti_woke_podcast

Episode Summary:Will and Brandt celebrate their 250th episode by diving into their AI platform journeys, with Will sharing his switch from ChatGPT to Claude and his experiments with agentic AI systems. The conversation explores Claude Code features, OpenClaw setups, and the future of AI assistants running automated workflows. They also discuss the challenges of building complex automation systems and share their latest tech recommendations.Discussions Include:Will's migration from ChatGPT to Claude and the reasons behind the switchBuilding agentic AI workflows with OpenClaw and automation systemsThe evolution of AI coding assistants and Claude Code capabilitiesAudio and video routing in home studios using NDI and Dante protocolsRoborock vacuum recommendations and smart home automationQuotable Quotes (Should you choose to share):"Hardware is always gonna do a better job than software. That's why everything in my studio is hardware routed." - Brandt Krueger"I had my own personal Claude $20 a month plan and was loving that. I quit it because I was like, oh we've got this enterprise ChatGPT. And like a week later, I reupped my Claude plan. I was like no, not for my daily driver." - Brandt Krueger"My journey into Claude was primarily driven by the desire to find a better technology to try to improve my OpenClaw setup." - Will Curran"Claude doesn't have any native image generation but honestly, the interface is fantastic. I get better answers." - Will CurranAnd here's the referenced Claude "Hedcut" image showing it can't do image gen:                   .::::::::::.                .:::::::::::::::::::.              .:::::::::::::::::::::::.            .:::::::::::::::::::::::::::.           :::::::::::::::::::::::::::::::          :::::::::::::::::::::::::::::::::         :::::::::::::::::::::::::::::::::::        :::::::::::::::::::::::::::::::::::::       :::::::::::::::::::::::::::::::::::::::      .::::::::::::::::::::::::::::::::::::::::      :::::::::::::::::::::::::::::::::::::::::     ::::::::::::::::::::::::::::::::::::::::::     ::::::::::::::::::::::::::::::::::::::::::     ::::::::::::::::::::::::::::::::::::::::::     ::::::::::::::::::::::::::::::::::::::::::     :::::::: .---------.   .---------.::::::::     ::::::::| @@@@@@@@@ | | @@@@@@@@@ |:::::::     ::::::::| @@@ . @@@ | | @@@ . @@@ |:::::::     ::::::::| @@@@@@@@@ | | @@@@@@@@@ |:::::::     :::::::: ·---------·   ·---------·::::::::     ::::::::::::::::::::::::::::::::::::::::::     :::::::::::::::|  |::::::::::::::::::::::::     :::::::::::::::|  |::::::::::::::::::::::::     ::::::::::::::: ·· :::::::::::::::::::::::::     ::::::::::::::::::::::::::::::::::::::::::      :::::::::::::  ~~~~  :::::::::::::::::::::      :::::::::::::::::::::::::::::::::::::::::       :::::::::::::::::::::::::::::::::::::::        ·········································       ···########################################      ·###########################################     ·############################################     ·############################################     ·############################################     ·############################################     ·###################·########################     ·##################···#######################     ·#################·····######################     ·################·······#####################     ·###############·········####################     ·##############···········###################     ·#############·············##################     ·############···············#################     ·###########·················################     ·##########···················###############      ·#########···················##############·       ·########···················#############·        ·#######···················############·         ·######···················###########·           ·#####·················##########·             ·####·················########·               ·###·················#####·                 ·##·················##·           .----   ~~~~~~~~~~~~~~~~~~~   ----.          /                                             |          ................           |         |       ························      |         |     ····························    |              ····························   /              ····························  /              ···························· /              ···························/         /   ····························  /        /    ····························/         /    ··#############################          /     ·################################·       /     ·##################################·      /     ·####################################·     /     ·######################################·    |     ·########################################·  |  |    ·##########################################· |  |   ·############################################·|  |  ·##############################################|  | ·###############################################|  |·################################################|  |#################################################|  |#################################################|  |#################################################|  |#################################################|  |#################################################|  |#################################################| ...

In this episode, I sit down with Tobias, a robotics and automation expert, to unpack what AI agents and generative AI mean for the future of industrial automation. We explore how combining human expertise with advanced agents can optimize production cycles, break down technological silos, and open new possibilities for greenfield automation projects. From hands-on case studies to the hurdles of legacy systems, we dig into what works today, what doesn't, and where the next breakthroughs might come from. I share insights from our own experiments—what happens when you let an AI agent optimize a real automation cell, and why, for now, human know-how still matters. If you're curious about the practical realities of AI in production lines and what's hype versus what's already delivering value, this conversation is for you.

AI Podcast: https://open.spotify.com/show/3YKcAnUItKpN7y85cGZyM0?si=aJEHr5cTSHKuHVt-c6YxxQTwitter: https://twitter.com/AntiWokePodcastYoutube: https://www.youtube.com/@antiwokepodcast8381/featuredTik Tok: https://www.tiktok.com/@anti_woke_podcast

Today we are, again, interrupted before we can get to our featured podcast - this time by our AI cohost, AI Mel Gibson and his new AI talent agent.

This episode isn't about AI tools. It's about what happens when content makes itself. Adam (levy.eth) built a fully automated, AI-generated podcast about the Epstein Files. No hosts. No studio. No production team. It became the #1 podcast in the UK, beating ABC News, the BBC, and Audible — and he was doing about 5% of the work. In this episode, Samir sits down with Adam to break down exactly how he built it, what it cost, and what the numbers look like on the other side. But the conversation quickly becomes something bigger — a real-time reckoning with what AI means for the creator economy, for the people who've spent years building audiences by hand, and for what it means to make something worth making at all. They get into: How Distill became the foundation for a fully autonomous podcast network Why daily content is the stickiest product in media — and how AI is the only thing that can truly do it The economics that are breaking open: $1 per episode, profitable at 20 listeners What the five-minute mark tells us about where audiences are headed Why AI won't kill creative careers — but will force creators to be radically more honest This is one of the most important conversations we've had on the show. And it's only getting more relevant by the day. Learn more about your ad choices. Visit megaphone.fm/adchoices

Mit KI (Künstlicher Intelligenz) Bilder bearbeiten und erstellen, Videos wie Kurzvideos erstellen und bearbeiten, Texte erstellen und analysieren, Kunden gewinnen, Rechnungen schreiben und Automatisierungen bauen. Dazu geht Software Unternehmer und Agenturinhaber Max Weiß auf die KI Tools N8N, Chat GPT, Gemini von Google, Claude und noch viel mehr ein und zeigt dir ganz genau wie du diese KI Tools nutzen kannst um deinen Umsatz sofort zu steigen und Prozesse zu bauen. Hier geht es zur All in One Agentursoftware: https://www.agentursysteme.com Trage dich hier für ein kostenloses Telefonat mit uns ein: https://maxwei1.typeform.com/to/v0DTx9 Hier kannst du dir einen kostenlosen Online Kurs sichern: https://weiss-max-coaching.coachy.net/lp/kostenloser-kurs/

Many companies are experimenting with AI tools. But a bigger leadership question is starting to emerge: How should teams organize AI so it actually improves productivity? After presenting at the Verticon conference, Donna Peterson had several leaders ask the same practical question: Should we build AI Projects… or custom GPTs? The answer depends on how your team works. In this episode of the B2B Marketing Excellence and AI Podcast, Donna walks through real scenarios discussed with business leaders and explains when each structure works best. If your team is beginning to integrate AI into daily operations, this conversation will help you avoid common mistakes and build a system that actually supports your workflow. What You'll Learn: The key difference between AI Projects and GPTs Why leaders often put AI work in the wrong place How projects help organize ongoing internal work When GPTs are better for repeatable questions or tasks A simple framework leaders can use before building AI tools Why your internal documentation matters more than the AI itself Three Leadership Questions to Ask Before Building AI. Before creating new AI tools, Donna suggests leaders pause and ask: What work is slowing my team down right now? Is this ongoing work or a repeatable task? Do we already have the internal knowledge to support it? These answers will help determine whether your team should create a Project or a custom GPT. Key Takeaway- AI tools are most effective when they support clear leadership thinking and organized workflows. The technology itself isn't the strategy, how you structure it inside your organization is what makes the difference. ▶ Watch the full episode here:https://youtube.com/playlist?list=PLHaiJYXhZ8PD-8NolyFNPeGx7XAK4ZeJt&si=8laNeam0UzCkxamV *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

Jeff Pulver of the vCon Foundation joined Doug Green, Publisher of Technology Reseller News, for a conversation recorded at the HIMSS Global Health Conference & Exhibition, where the focus was on how structured conversation data could play a critical role in the next phase of healthcare innovation. Pulver explained that the vCon framework—short for “virtualized conversations”—is designed to capture and structure human interactions such as voice calls, video meetings, and messaging exchanges into standardized digital records. These structured conversation objects can then be analyzed, stored, and integrated into enterprise workflows. “Conversations are some of the most valuable data organizations have, but historically they've been unstructured and difficult to use,” Pulver noted. In healthcare environments, that challenge is especially important. Hospitals, clinics, and care providers rely heavily on voice interactions between clinicians, patients, and support staff. By structuring those conversations, organizations could unlock new opportunities for analytics, compliance, and AI-driven insights while maintaining governance over sensitive information. Pulver emphasized that as AI becomes more deeply embedded in enterprise and healthcare systems, structured conversational data will be essential for training models, improving operational decision-making, and creating more responsive digital workflows. Rather than treating conversations as disposable communications, the vCon approach treats them as durable, actionable data assets. As healthcare leaders gathered at HIMSS to explore AI, interoperability, and digital transformation, the discussion highlighted how frameworks like vCon could help bridge the gap between human communication and machine intelligence—turning everyday conversations into meaningful data that can support better outcomes across healthcare organizations. Learn more about the vCon Foundation: https://www.pulver.com/vconfoundation

メールの「よろしくお願いします！」が消えていく？「AIで社交辞令が消える未来」「僕、肉焼くの速すぎますか？」「街ブラPodcastはじめました」など、最近考えたことについて話しました。【目次】00:00 丁寧な言い方は消えていく20:22 焼肉の0.2秒を言語学する35:04 肉を速く焼いてもおもしろければいい41:14 網の肉は置いたヤツが管理すべきか48:35 『会話の0.2秒を言語学する』が6万部突破【ぜひ買って読んでください！】◯会話の0.2秒を言語学するhttps://www.valuebooks.jp/bp/VS0063352236◯【ゆる言語学ラジオの水野太貴さん｜ほぼノーカット】ベストセラー『会話の0.2秒を言語学する』印税100万円贈呈式お送り！→印税贈呈式の様子が見れます。https://www.youtube.com/watch?v=-9wD0wTJuYs&t=7s【フォローお願いします！】◯神保町で会いましょうhttps://open.spotify.com/show/6cYkvDO0HnJKLPgDBGUjjS【話に出た本のリンク】◯言語学者、生成AIを危ぶむ　子どもにとって毒か薬かhttps://www.valuebooks.jp/bp/VS0093906098◯息吹https://www.valuebooks.jp/bp/VS0056455988【ゆる学徒ラジオ系列すべての公式グッズ】⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.valuebooks.jp/shelf-items/folder/4362babbae09d77⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【サポーターコミュニティへの加入はこちらから！】⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://yurugengo.com/support⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【実店舗プロジェクト：ゆる学徒カフェ】⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@yurugakuto⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【水野の単著『会話の0.2秒を言語学する』】⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.valuebooks.jp/bp/VS0063352236⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【堀元の単著『読むだけでグングン頭が良くなる下ネタ大全』】⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.valuebooks.jp/bp/VS0063336432⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【Twitterあるよ！】ゆる言語学ラジオのTwitterアカウントがあるので、是非フォローしてください！面白語源ネタなどが流れてきてあなたの知識欲が満たされます。→⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/yuru_gengo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【堀元見プロフィール】慶應義塾大学理工学部卒。専攻は情報工学。理屈っぽいコンテンツを作り散らかすことで生計を立てている。Twitter→⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/kenhori2⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠noteマガジン→⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://note.com/kenhori2/m/m125fc4524aca⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠個人YouTube→⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@kenHorimoto⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠【水野太貴プロフィール】1995年生まれ。愛知県出身。名古屋大学文学部卒。専攻は言語学。本業は雑誌編集者。著書に『会話の0.2秒を言語学する 』（新潮社）などがある。Podcast「神保町で会いましょう」のパーソナリティも務める。Twitter→⁠⁠⁠⁠⁠https://x.com/yuru_mizuno⁠⁠⁠⁠⁠神保町で会いましょう→⁠⁠⁠⁠⁠https://open.spotify.com/show/6cYkvDO0HnJKLPgDBGUjjS⁠⁠⁠⁠⁠【BGM提供】・フリーBGM・音楽素材MusMus様⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://musmus.main.jp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Main Question This Episode Answers: Are you using AI in a way that builds trust for your brand, or are you slowly eroding it through inconsistency and siloed use? Episode Summary- AI is everywhere. But simply using AI tools does not guarantee growth. In fact, without structure, AI can fragment your messaging, dilute your tone, and weaken trust. In this episode, Donna Peterson shares what was happening inside World Innovators when team members were using AI independently, without alignment. Tone drift, duplicated efforts, and disconnected messaging began to surface. She explains the three structural changes they implemented to strengthen alignment, protect brand integrity, and build sustainable trust in long sales cycle environments: Creating a centralized AI Library Developing practical AI Guides for tools Holding structured monthly AI alignment meetings This episode is especially relevant for presidents, CEOs, marketing leaders, and sales leaders responsible for guiding teams through AI adoption while protecting brand consistency. Key Topics Covered: The hidden risk of siloed AI use inside organizations Why tone consistency is critical in long sales cycles How fragmented AI use weakens compounding learning The structure of a centralized AI Library What to include in brand guardrails and tone sheets Why prompt-sharing eliminates duplication The importance of tool discipline versus tool overload Why leaders must understand AI tools at a strategic level How alignment creates confidence and trust at scale AI does not build trust. Alignment builds trust. Growth comes from trust. Trust comes from consistency. Consistency comes from leadership structure. If alignment is weak: Silos form Tone drifts Confusion spreads If alignment is strong: Messaging compounds Confidence increases Mission scales Action Steps: Schedule one structured AI alignment meeting per month. Audit your current AI tools and ensure you are using them to full capacity before adding new ones. Create a centralized AI Library with brand guardrails, tone sheets, templates, and strong prompts. Why This Matters: In long B2B sales cycles, every piece of communication builds on the previous one. If tone and messaging are inconsistent, trust weakens. When your team is aligned, AI becomes a trust-building accelerator rather than a risk. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

In episode 508, the "survival experts" must save the future by getting stuck in a time loop. But nothing is really as it seems. Chris wonders what to do with a big cat and Jack wants to know what sort of pie they serve at this dinner. E-mail your survival suggestions to us at wecouldsurvivethat@gmail.com or Twitter @WeCouldSurvive or find older episode on Youtube at: https://www.youtube.com/channel/UCXAa8-wNqv1G14ts_DHenkg/feed

In this episode of the B2B Marketing Excellence & AI Podcast, Donna Peterson discusses a growing leadership issue inside companies using AI.Many teams are increasing speed. Fewer are defining direction.AI accelerates output, but without documented guardrails, it can quietly amplify misalignment across departments. When messaging, tone, and strategy drift, trust weakens, especially in long sales cycle B2B environments.Using a practical analogy from Olympic Super-G skiing, Donna explains why leaders must define the boundaries that keep teams aligned and moving efficiently toward the same goal.In This Episode:Why AI increases both speed and riskHow unclear direction creates internal driftThe leadership cost of repeating yourselfWhat true AI guardrails includeWhy monthly AI alignment meetings are essentialThe risk of layering new tools without structureHow shared templates improve consistencyThe connection between alignment and trustKey Leadership Insight:If you are repeating tone, mission, or positioning guidance across departments, it may not be a personnel issue. It may be a documentation issue.AI amplifies whatever structure exists.Without guardrails, inconsistency scales faster.With guardrails, trust compounds.Practical Action Steps. After listening, consider:Writing your company's WHY in one clear paragraph.Defining your tone in five specific words.Reviewing whether current AI outputs reflect that tone.Evaluating whether your team is aligned around shared templates.Scheduling a monthly AI alignment discussion if one does not exist.If this conversation resonates, the full episode provides detailed examples and implementation guidance you can apply immediately. Listen to the complete episode to understand how to build AI guardrails that protect your mission and strengthen long-term growth.If your organization is ready to bring structure and clarity to your AI implementation, we would welcome the opportunity to work with your leadership team. *** Reach out to dpeterson@worldinnovators.comif you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.comfor more resources on building stronger marketing and leadership strategies.*** Subscribe to the B2B Marketing Excellence & AI Podcast for weekly insights into marketing, leadership, and the future of AI.

In this episode of the Eye on AI Podcast, Craig Smith sits down with Steve Brown, founder of CureWise, to explore how agentic AI is reshaping healthcare from the patient's perspective. Steve shares the deeply personal story behind CureWise, born out of his own experience with a rare cancer diagnosis that was repeatedly missed by traditional medical pathways. The conversation dives into why modern healthcare struggles with complex, edge-case conditions, how fragmented medical data and time-constrained systems fail patients, and where AI can meaningfully help without replacing clinicians. The discussion goes deep into multi-agent AI systems, reliability through consensus, large context windows, and how AI can surface better questions rather than premature answers. Steve explains why patient education is the real unlock for better outcomes, how precision medicine depends on individualized data and genetics, and why empowering patients leads to stronger collaboration with doctors. This episode offers a grounded, practical look at AI's role in healthcare, not as a diagnostic shortcut, but as a tool for clarity, context, and better decision-making in some of the most critical moments of car   Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Using Multi-Agent AI to Analyze Medical Records (04:35) Steve Brown's Tech Background and Return to Healthcare (08:25) How a Rare Cancer Diagnosis Was Initially Missed (13:55) Why Modern Medicine Struggles With Complex Cases (18:29) Multi-Agent Consensus and AI Reliability in Healthcare (24:12) Large Context Windows, RAG, and Medical Data Organization (28:24) Why CureWise Focuses on Patient Education, Not Diagnosis (33:10) Precision Medicine, Genetics, and Personalized Treatment (47:45) Why CureWise Launches Direct-to-Patient First (53:19) The Future of AI-Driven Precision Medicine

AI is getting smarter, but now it needs better  judgment. In this episode of the Eye on AI Podcast, we speak with Robbie Goldfarb, former Meta product leader and co-founder of Forum AI, about why treating AI as a truth engine is one of the most dangerous assumptions in modern artificial intelligence. Robbie brings first-hand experience from Meta's trust and safety and AI teams, where he worked on misinformation, elections, youth safety, and AI governance. He explains why large language models shouldn't be treated as arbiters of truth, why subjective domains like politics, health, and mental health pose serious risks, and why more data does not solve the alignment problem. The conversation breaks down how AI systems are evaluated today, how engagement incentives create sycophantic and biased models, and why trust is becoming the biggest barrier to real AI adoption. Robbie also shares how Forum AI is building expert-driven AI evaluation systems that scale human judgment instead of crowd labels, and why transparency about who trains AI matters more than ever. This episode explores AI safety, AI trust, model evaluation, expert judgment, mental health risks, misinformation, and the future of responsible AI deployment. If you are building, deploying, regulating, or relying on AI systems, this conversation will fundamentally change how you think about intelligence, truth, and responsibility. Want to know more about Forum AI? Website: https://www.byforum.com/ X: https://x.com/TheForumAI LinkedIn: https://www.linkedin.com/company/byforum/ Stay Updated: Craig Smith on X: https://x.com/craigss Eye on A.I. on X: https://x.com/EyeOn_AI (00:00) Why Treating AI as a "Truth Engine" Is Dangerous (02:47) What Forum AI Does and Why Expert Judgment Matters (06:32) How Expert Thinking Is Extracted and Structured (09:40) Bias, Training Data, and the Myth of Objectivity in AI (14:04) Evaluating AI Through Consequences, Not Just Accuracy (18:48) Who Decides "Ground Truth" in Subjective Domains (24:27) How AI Models Are Actually Evaluated in Practice (28:24) Why Quality of Experts Beats Scale in AI Evaluation (36:33) Trust as the Biggest Bottleneck to AI Adoption (45:01) What "Good Judgment" Means for AI Systems (49:58) The Risks of Engagement-Driven AI Incentives (54:51) Transparency, Accountability, and the Future of AI

Happy New Year! We're starting 2026 on a hopeful note. We all know that AI is threatening human labor across a bunch of industries, especially creative work. This episode is about an encouraging win for humans – a case where human creators are being centered, protected, and valued in an increasingly automated entertainment industry. Bridget talks with Will Pearson, head of podcasts at iHeart, about why betting on human creators is good business. (Spoiler: Because that's what listeners want) Let us know what you think by emailing hello@tangoti.com or leaving a comment on Spotify. Follow Bridget and TANGOTI on social media! || instagram.com/bridgetmarieindc/ || tiktok.com/@bridgetmarieindc || youtube.com/@ThereAreNoGirlsOnTheInternet || bsky.app/profile/tangoti.bsky.social See omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

Now on Spotify Video! After decades leading AI research at NASA, Google, and Stanford, Peter Norvig has watched artificial intelligence advance at an incredible pace, often without enough consideration for the people it's meant to serve. While the systems grew better at optimizing algorithms, far less focus was placed on fairness, human agency, and real-world impact. That realization led Peter to champion a more human-centered approach to AI. In this final episode of the AI Vault series, Peter breaks down how to design and use AI in ways that elevate human abilities, support better decision-making, and promote fairness across business, education, and leadership. In this episode, Hala and Peter will discuss: (00:00) Introduction (02:28) His Transition From Academia to Corporate (06:05) The Evolution of Google Search Technology (12:59) How Artificial Intelligence Has Changed Over Time (17:53) Human Intelligence vs. AI Capabilities (23:38) What Is Human-Centered AI? (29:42) AI-Powered Learning and Workplace Training (35:47) AI for Entrepreneurs: The New Advantage (39:10) Artificial Intelligence and Income Inequality (41:19) The Risks and Rewards of Artificial Intelligence Peter Norvig is a computer scientist, AI pioneer, and former Director of Research at Google, where he led significant advancements in search and machine learning. He is the co-author of Artificial Intelligence, the leading AI textbook used in more than 1,500 universities worldwide. Today, as a Fellow at Stanford's Human-Centered AI Institute, Peter focuses on building AI systems that are fair, inclusive, and aligned with human values. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Peter's Website: norvig.com  Peter's LinkedIn: linkedin.com/in/pnorvig  Peter's Book, Artificial Intelligence: bit.ly/ArtficialIntelligence  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Action, AI in Business, Generative AI, Future of Work, AI Podcast

Now on Spotify Video! When Reid Hoffman first began studying artificial intelligence at Stanford, the world wasn't ready for it yet. Years later, inspired by conversations with top tech innovators, he recognized AI's potential and seized the moment. As the founding investor in OpenAI and co-founder of Inflection AI, he's at the forefront of shaping AI and the future of work. In this episode of the AI Vault series, Reid introduces the concept of "superagency," where AI enhances human capabilities rather than replacing them. He also addresses common fears surrounding AI and shares his vision for a future powered by AI-driven agents. In this episode, Hala and Reid will discuss:  (00:00) Introduction (01:49) Reid's Early Interest in Artificial Intelligence (04:18) AI, Jobs, and Concerns for the Future (08:25) Superagency: Amplifying Human Capability with AI (19:34) Training AI to Be a Better Human Companion  (23:15) Trust and Misinformation in the Age of AI  (25:56) Why Human Expertise Still Matters in AI (28:13) Reid's AI Twin (31:07) Leveraging AI for Content Creation (32:39) How AI in Action Will Shape the Future Reid Hoffman is an entrepreneur, investor, partner at Greylock, and the co-founder of LinkedIn and Inflection AI. He's also a bestselling author and host of the Masters of Scale podcast. Reid majored in artificial intelligence at Stanford through the Symbolic Systems program, one of the earliest undergraduate AI majors. As an early investor in OpenAI, he has become a prominent voice championing responsible AI development that expands and amplifies human potential. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Reid's Book, Superagency: amzn.to/4g7cfVG Reid's Book, Blitzscaling: bit.ly/Blitzscalin  Reid's LinkedIn: linkedin.com/in/reidhoffman  Reid's Website: reidhoffman.org  Reid's AI Video, Reid Hoffman Meets His AI Twin: bit.ly/4jzlVeD  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast 

Now on Spotify Video! Most people have been using AI for decades, but only a few understand how to leverage it. After more than 40 years in the field, Stephen Wolfram has seen how breakthroughs like ChatGPT seem to emerge out of nowhere, and he believes the real power isn't the technology itself, but learning how to think in a way machines can work with. In this episode of the AI Vault series, Stephen breaks down how artificial intelligence truly works, what the future of automation will look like,  and why mastering computational thinking is the next critical skill for entrepreneurs and innovators. In this episode, Hala and Stephen will discuss: (00:00) Introduction (02:31) His Early Fascination With Science and AI (05:52) How Artificial Intelligence Began (14:18) The Foundations of Computational Thinking (21:31) The Role of Computational Thinking in AI (25:52) How ChatGPT and Neural Networks Work (33:45) Can AI Develop Real Consciousness? (39:23) How AI Will Transform the Future of Work (45:27) Will AI in Action Surpass Human Intelligence? Stephen Wolfram is a computer scientist, mathematician, theoretical physicist, and the founder and CEO of Wolfram Research. He created Mathematica, Wolfram Alpha, and the Wolfram Language, and is widely recognized for his pioneering work in computation and complex systems. A MacArthur “Genius” Grant recipient, Stephen has authored several influential books, including What Is ChatGPT Doing? Today, he stands as one of the leading voices shaping global understanding of AI and computational thinking. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/design and use code PROFITING Intuit QuickBooks - Bring your money and your books together in one platform at QuickBooks.com/money  Resources Mentioned: Stephen's Book, What Is ChatGPT Doing?: bit.ly/-ChatGPT  Stephen's Website: stephenwolfram.com  Stephen's Book, A New Kind of Science: bit.ly/NKScience  Stephen's Book, An Elementary Introduction to the Wolfram Language: bit.ly/WolframL  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast 

During the pandemic, will.i.am noticed how broken creative collaboration was. Tools like email, Zoom, and Dropbox made it hard for creators to stay organized and integrated. Determined to find a better way, he built FYI.AI, a generative AI platform that helps creators collaborate, share data securely, and manage their projects all in one place. In this episode, will.i.am shares how artificial intelligence is powering a new era where creativity, inclusion, and technology redefine entrepreneurship and artistic expression. In this episode, Hala and will.i.am will discuss: (00:00) Introduction (01:04) His Early Life and Creative Roots (08:13) The Power of a Growth Mindset in Success (11:19) What Being a Futurist Means to Him (17:08) How AI Is Shaping the Future of Innovation (23:39) Building FYI.ai: AI-Powered Creative Collaboration (37:18) Artificial Intelligence vs. Human Creativity in Music (42:52) Why He's Optimistic About AI in Action (46:06) Advocating Diversity and Inclusion in AI will.i.am is an American rapper, singer, songwriter, producer, and entrepreneur. He is a seven-time Grammy award-winning founding member of the musical group the Black Eyed Peas. Beyond music, he is a dedicated futurist and technologist, who has invested in and advised several major technology companies. Most recently, he founded FYI.ai, an AI-powered platform designed to optimize collaboration and digital ownership for the creator economy. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: will.i.am's App: FYI.AI will.i.am's foundation: Im Angel Foundation: i.am.angel foundation.org YAP E241 with Mo Gawdat: youngandprofiting.co/DangersAI  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, AI for Entrepreneurs, Future of Work, AI Podcast

Now on Spotify Video! While working at Google X, Mo Gawdat witnessed artificial intelligence advancing faster than anyone expected and slipping beyond human control. Machines began learning on their own, crossing critical boundaries, and spreading across the open internet without ethical safeguards or regulation. This realization turned him into a leading advocate for responsible AI development. In this episode, Mo reveals how AI is reshaping our world, the urgent risks it presents, and how we can guide it toward a future that benefits humanity. In this episode, Hala and Mo will discuss: (00:00) Introduction (01:30) Mo's Journey in Tech and Google X (07:56) His Awakening to AI's Power (12:13) Is Artificial Intelligence Truly Artificial? (19:04) How AI Already Controls Your Reality (25:36) The Self-Learning Power of Artificial Intelligence (33:48) AI's Three Unbreakable Boundaries (40:34) Why Humanity Can't Stop AI Development (47:49) AI Risks and the Future of Work (57:03) Emotional Intelligence in the AI Era (1:05:49) Thriving Ethically in the Age of AI in Action Mo Gawdat is a renowned AI expert, author, and former Chief Business Officer at Google X. He has over 30 years of experience in technology and entrepreneurship and helped launch more than 100 Google businesses across emerging markets. Mo now hosts the top-rated podcast Slo Mo and advocates for the safe and ethical development of technology. His book, Scary Smart, explores how humanity can wisely guide the rise of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Mo's Linkedin: linkedin.com/in/mogawdat  Mo's Instagram: instagram.com/mo_gawdat Mo's Website: mogawdat.com  Mo's Book, Scary Smart: bit.ly/-ScarySmart  Mo's Podcast, Slow Mo:bit.ly/SloMo-apple  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI in Business, Generative AI, AI for Entrepreneurs, AI Podcast

Now on Spotify Video! As a Stanford AI scientist, Dr. Fei-Fei Li realized that artificial intelligence had advanced to a point where it was transforming society faster than most people could understand. Confronted with the ethical, social, and economic risks of this rapid growth, she felt a deep responsibility to guide AI toward serving humanity. This inspired her to co-found the Stanford Institute for Human-Centered AI, developing a framework that prioritizes humankind. In this episode, Dr. Fei-Fei shares how we can harness AI responsibly and design technology that enhances, not replaces, human potential. In this episode, Hala and Dr. Fei-Fei will discuss: (00:00) Introduction (02:33) The Evolution and Limits of Artificial Intelligence (09:56) How AI Models Like ChatGPT Are Trained (14:12) Dr. Fei-Fei's Journey and Responsibility in AI (19:15) How Computer Vision Brings AI to Life (25:59) Ethical AI, Human Dignity, and the Future of Work (32:57) The Three Pillars of Human-Centered AI (35:10) Confronting Fears of AI in Action (39:59) AI in Business: How Entrepreneurs Can Thrive  Dr. Fei-Fei Li is a professor of computer science at Stanford University and co-director of the Stanford Institute for Human-Centered AI. Her groundbreaking work in computer vision AI has shaped how machines see and understand the world. Dr. Fei-Fei is the author of The World's I See, a memoir that weaves together her personal journey with the history and development of artificial intelligence. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  DeleteMe - Remove your personal data online. Get 20% off DeleteMe consumer plans at to joindeleteme.com/profiting  Spectrum Business - Visit Spectrum.com/FreeForLife to learn how you can get Business Internet Free Forever. Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Dr. Fei-Fei's Book, The Worlds I See: bit.ly/WorldsISee  Stanford Human-Centered AI Institute Website: hai.stanford.edu/  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, AI Marketing, Prompt, Generative AI, AI for Entrepreneurs, AI Podcast

Now on Spotify Video! Mustafa Suleyman's journey to becoming one of the most influential figures in artificial intelligence began far from a Silicon Valley boardroom. The son of a Syrian immigrant father in London, his early years in human rights activism shaped his belief that technology should be used for good. That vision led him to co-found DeepMind, acquired by Google, and later launch Inflection AI. Now, as CEO of Microsoft AI, he explores the next era of AI in action. In this episode, Mustafa discusses the impact of AI in business, how it will transform the future of work, and even our relationships. In this episode, Hala and Mustafa will discuss: (00:00) Introduction(02:42) The Coming Wave: How AI Will Disrupt Everything(06:45) Artificial Intelligence as a Double-Edged Sword (11:33) From Human Rights to Ethical AI Leadership(15:35) What Is AGI, Narrow AI, and Hallucinations of AI?(24:15) Emotional AI and the Rise of Digital Companions(33:03) Microsoft's Vision for Human-Centered AI(41:47) Can We Contain AI Before Its Revolution?(48:33) The Future of Work in an AI-Powered World(52:22) AI in Business: Advice for Entrepreneurs Mustafa Suleyman is the CEO of Microsoft AI and a leading figure in artificial intelligence. He co-founded DeepMind, one of the world's foremost AI research labs, acquired by Google, and went on to co-found Inflection AI, a machine learning and generative AI company. He is also the bestselling author of The Coming Wave. Recognized globally for his influence, Mustafa was named one of Time's 100 most influential people in AI in both 2023 and 2024. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/PROFITING  Shopify - Start your $1/month trial at Shopify.com/profiting.  Mercury streamlines your banking and finances in one place. Learn more at mercury.com/profiting. Mercury is a financial technology company, not a bank. Banking services provided through Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC. Quo - Get 20% off your first 6 months at Quo.com/PROFITING  Revolve - Head to REVOLVE.com/PROFITING and take 15% off your first order with code PROFITING  Framer- Go to Framer.com and use code PROFITING to launch your site for free.  Merit Beauty - Go to meritbeauty.com to get your free signature makeup bag with your first order.  Pipedrive - Get a 30-day free trial at pipedrive.com/profiting  Airbnb - Find yourself a cohost at airbnb.com/host  Resources Mentioned: Mustafa's Book, The Coming Wave: bit.ly/TheComing_Wave  Mustafa's LinkedIn: linkedin.com/in/mustafa-suleyman  Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, ChatGPT, AI Marketing, Prompt, AI for Entrepreneurs, AI Podcast