Podcasts about genai

We only talk about the upside of agentic AI.But why don't we talk about the risks? As AI agents grow exponentially more capable, so too does the likelihood of something going wrong.So how can we take advantage of agentic AI while also addressing the risks head-on? Join us to learn from a global leader on Responsible AI. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Responsible AI: Evolution and ChallengesAgentic AI's Ethical ImplicationsMulti-Agentic AI Responsibility ShiftMicrosoft's AI Governance StrategiesTesting Multi-Agentic Risks and PatternsAgentic AI: Future Workforce SkillsObservability in Multi-Agentic SystemsThree Risk Categories in AI ImplementationTimestamps:00:00 Evolving Challenges in Responsible AI05:50 Agent Technology: Benefits and Risks09:27 Complex System Governance and Observability12:26 AI Monitoring and Human Intervention15:14 Essential Testing for Trust Building19:43 Securing AI Agents with Entra22:06 Exploring Human-AI Interface Innovation26:06 AI Workforce Integration Challenges28:22 AI's Transformative Impact on JobsKeywords:Agentic AI, multi agentic AI, responsible AI, generative AI, Microsoft Build conference, AI governance, AI ethics, AI systems, AI risk, AI mitigation, AI tools, human in the loop, Foundry observability, AI testing, system security, AI monitoring, user intent, AI capability, prompt injection, Copilot, AI orchestration, AI deployment, system governance, Entra agent ID, AI education, AI upskilling, AI workforce integration, systemic risk, AI misuse, AI malfunctions, AI systemic risk, AI-powered solutions, AI development, AI innovation, AI technology, AI security measures.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

2025. május 30., péntek 8-9 óra SZTNH: Mi most a helyzet a GenAI szerzői jogi megítélése kapcsán a nemzetközi szakemberek szerint? Rendesen pezseg a szerzői jog és a generatív AI kapcsolatának témája az utóbbi hetekben. Egy kis nemzetközi kitekintés keretében megnézzük, hogy az USA és az EU hogyan gondolkodik a témáról. Felkészítő Millásreggeli 2025_05_30 - Dr. Lábody Péter - Nemzetközi GenAI és szerzői jogi fejlemények.docx millásreggeli felkészítő.docx Dr. Lábody Péter, a Szellemi Tulajdon Nemzeti Hivatala (SZTNH) jogi és nemzetközi ügyekért felelős elnökhelyettese. ARANYKÖPÉS(EK): “A barátság és a szerelem olyanok, mint a hegedűhúr, ami ha megereszkedik, még meghúzhatod, de ha elszakad, hiába kötözöd össze: mindig hamis hangot fog adni.” “A pénz politikai levegő. Nélküle, ki társaságban élsz, lélegzetet nem vehetsz.” 1786-ban ezen a napon született Fáy András magyar író, politikus († 1864) NÉGY ÜTEM: Keresd a hozzád illő mentort! Innovatív startup cégek számára indít új szolgáltatást a Magyar Innovációs Szövetség (MISZ), a szervezet mögöt álló gazdasági és tudományos közösség széleskörű tapasztalatait felhasználva. A Find Your Mentor (Találd meg a mentorod!) névre keresztelt új szolgáltatás keretében már az indulásakor 18, a hazai és nemzetközi innovációs porondon bizonyítot szakemberből választhatják ki az induló vállalkozások azt, aki a cég tevékenységéhez és éretségi szintjéhez legjobban illő támogatást nyújthatja. Bőthe Csaba, a Magyar Innovációs Szövetség ügyvezetője. ÖKOMENIKUS: Nyújtsunk együtt kapaszkodót! Az Ökumenikus segélyszervezet kapaszkodó adománygyűjtő kampánya zajlik, mindemellett a segélyszervezet egyike azon szervezeteknek, amelyek a vállalati világ számára „kötelező” ESG megfelelések „S” social lábához valódi érdemi tevékenységet nyújtó partnerként tudnak csatlakozni. Gáncs Kristóf, az Ökumenikus Segélyszervezet ügyvezető igazgatója.

We're so quick to give AI access to see the world around us, but what are the dangers? And what are some powers that you're not aware of? We'll be sharing both as Michael Tiffany, Co-Founder and CEO of Fulcra Dynamics, joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have thoughts? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Power and danger of letting AI view your data2. Quick emergence of live AI technology3. Kill switch and intelligent data routing4. Local compute and orchestration requirementsTimestamps:00:00 AI Advances: Power and Privacy Concerns05:34 Fulcra: Pioneers in Streaming Data Storage08:09 "Hacker Cyborgs and AI Privacy"12:08 AI Surveillance and Privacy Concerns15:02 "Experimenting with Custom AI Assistant"16:40 Calendar and Location Data Insights21:46 "Smart Local Monitoring Strategies"24:09 Miniature AI Models Revolutionize Technology28:36 Experiment with Personal AI ControlKeywords:Generative AI, AI technology, Google Gemini Live, Gemini's AI, AI agent, Microsoft Copilot Vision, personal data, privacy, data security, artificial general intelligence, superintelligence, live technology, AI observability, AI assistance, AI models, multimodal models, world models, local inference, edge AI, small language models, Frontier models, cloud-based models, Enterprise software, on-premise software, Cloud Software, AI Orchestration, Local Compute, Hardware, Biohacking, Personal Data ControlSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Where do you create an AI? This week, Technology Now explores the world of AI factories, dedicated spaces for building bespoke artificial intelligence software. We look into what these factories are, how they work, and we examine the importance of them going forward. Iveta Lohovska tells us more. This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week, hosts Michael Bird and Aubrey Lovell look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what can be learnt from it. More about this week's guest: https://www.linkedin.com/in/iveta-lohovska-40210362/?originalSubdomain=atEnergy to train an LLM: https://www.economist.com/technology-quarterly/2024/01/29/data-centres-improved-greatly-in-energy-efficiency-as-they-grew-massively-largerToday I Learnt: https://www.science.org/doi/10.1126/sciadv.adu9368 This Week in History:https://eclipse2017.nasa.gov/testing-general-relativityhttps://www.amnh.org/exhibitions/einstein/energy/special-relativityhttps://web.lemoyne.edu/giunta/ruth1920.html

Claude 4: Game-changer or just more AI noise? Anthropic's new Opus 4 and Sonnet 4 models are officially out and crushing coding benchmarks like breakfast cereal. They're touting big coding gains, fresh tools, and smarter AI agentic capabilities. Need to know what's actually up with Claude 4, minus the marketing fluff? Join us as we dive in. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Claude 4 Opus and SONNET LaunchAnthropic Developer Conference HighlightsAnthropic's AI Model Naming ChangesClaude 4's Hybrid Reasoning ExplainedBenchmark Scores for Claude 4 ModelsTool Integration and Long Tasks in ClaudeCoding Excellence in Opus and SONNET 4Ethical Risks in Claude 4 TestingTimestamps:00:00 "Anthropic's New AI Models Revealed"03:46 Claude Model Naming Update07:43 Claude 4: Extended Task Capabilities10:55 "Partner with AI Experts"15:43 Software Benchmark: Opus & SONNET Lead16:45 INTROPIC Leads in Coding AI21:27 Versatile Use of Claude Models23:13 Claude Four's New Features & Limitations28:23 AI Pricing and Performance Disappointment32:21 Opus Four: AI Risk Concerns35:14 AI Model's Extreme Response Tactics36:40 AI Model Misbehavior Concerns42:51 Pre-Release Testing for SafetyKeywords:Claude 4, Anthropic, AI model update, Opus 4, SONNET 4, Large Language Model, Hybrid reasoning, Software engineering, Coding precision, Tool integration, Web search, Long running tasks, Coherence, Claude Code, API pricing, Swebench, Thinking mode, Memory files, Context window, Agentic systems, Deceptive blackmail behavior, Ethical risks, Testing scenarios, MCP connector, Coding excellence, Developer conference, Rate limits, Opus pricing, SONNET pricing, Claude Haiku, Tool execution, API side, Artificial analysis intelligence index, Multimodal, Extended thinking, Formative feedback, Text generation, Reasoning process, Lecture summary.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

This segment explores how automated microsegmentation addresses critical Zero Trust gaps overlooked by traditional access controls and legacy segmentation solutions. We'll examine the limitations of perimeter-based defenses in today's dynamic threat landscape and reveal how automated microsegmentation enhances network security beyond conventional firewalls. From cutting-edge innovations to expert insights, discover what security leaders should prioritize to stay ahead of evolving threats. This segment is sponsored by Zero Networks. Visit https://securityweekly.com/zerorsac to learn more about them! In this segment, Keyfactor CSO Chris Hickman takes stock of industry progress towards quantum-resistant cryptography. Using recent guidance from NIST and his company's data on which certificates and keys pose the largest threats to organization now, Chris unpacks what it means to be risk intelligent and quantum safe. Segment Resources: • Command Risk Intelligence press release: https://www.keyfactor.com/press-releases/keyfactor-unveils-worlds-first-certificate-risk-management-solution/ • Recent blog post on the transition to PQC: https://www.keyfactor.com/blog/getting-quantum-ready-why-2030-matters-for-post-quantum-cryptography/ To learn more about the road to being quantum ready, stop by Keyfactor's booth at the conference, number #748, or visit: https://securityweekly.com/keyfactorrsac As cyber threats become increasingly difficult to detect and the technology to combat them continues to evolve, organizations must be prepared to move faster than ever. Looking ahead, the rise of post-quantum computing will bring both new opportunities and challenges, further reshaping the cybersecurity landscape. With the launch of Entrust's Cryptographic Security Platform (announcement coming April 16th) as a backdrop, Jordan can discuss why all organizations – large and small – must prioritize post-quantum preparedness before it's too late. He can also address emerging fraud technologies (e.g., deepfakes, GenAI) and fraud attacks (account takeovers, synthetic identities, impersonation), which are drawing more attention to the need for cyber-resilient methods, such as post-quantum cryptography, to protect against new fraud risks in the digital future. This segment is sponsored by Entrust. Visit https://securityweekly.com/entrustrsac to learn more about them! As quantum computing advances, the security foundations of our digital world face unprecedented challenges. This session explores how integrating Public Key Infrastructure (PKI) and Domain Name System (DNS) technologies can fortify digital trust in the quantum era. We'll delve into strategies for transitioning to post-quantum cryptography, ensuring interoperability, and maintaining the integrity of digital communications. Join us to understand the roadmap for achieving quantum resilience and safeguarding the future of digital trust. Segment Resources: https://www.digicert.com/what-is-pki https://www.digicert.com/faq/dns https://www.digicert.com/faq/dns/what-is-dns https://www.linkedin.com/posts/amitsinhadigitaltrust-trustsummit-pki-activity-7315749270505037824-lUBf?utmsource=share&utmmedium=memberdesktop&rcm=ACoAAAC22mYBCeB_s0YvGTVQsGiChh7wRXa4jRg https://www.digicert.com/blog/compliance-the-foundation-of-digital-trust https://www.digicert.com/blog/digital-trust-as-an-it-imperative This segment is sponsored by DigiCert. Visit https://securityweekly.com/digicertrsac to learn more about them! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-397

In this kickoff episode of Decoded, Phillip Jackson sits down with Pini Yakuel to explore the concept of "positionless marketing" — a radical rethinking of how marketing teams operate in an AI-powered world. Drawing inspiration from the evolution of positionless basketball, Pini argues that marketing, like sports, is evolving toward roles defined by agility and capability, not titles or silos. The conversation weaves through leadership, startup culture, and how Optimove is enabling marketers to work faster, smarter, and more autonomously.Key TakeawaysPositionless marketing is a mindset — It's about autonomy, adaptability, and eliminating bottlenecks, not just rearranging the org chart.Modern teams thrive when roles are fluid — Inspired by positionless basketball, today's marketers succeed through cross-functionality and creative flexibility, not rigid specialization.Gen AI is the new creative exoskeleton — Like an Iron Man suit, AI tools enhance marketers' abilities, enabling faster, smarter, and more creative execution.Speed is the native language of startups — Startups operate positionlessly by necessity, while legacy orgs must dismantle silos and empower self-service to keep up.Positionless isn't chaos—it's craftsmanship — The best managers focus less on blocking and tackling, and more on elevating outcomes by distributing capability and unlocking human potential at scale.Key Quotes[00:12:25] “Let's look at the Renaissance man... the celebration of the wide gamut of human talent — that's what this could be.” – Pini[00:24:53] “It's not that departments will disappear. It's that the type of work they do will start to change.” – Pini[00:26:23] “Almost every person in our exec team started their job at Optimove by writing SQL.” – Pini[00:30:12] “A team should be small enough to be fed by two pizzas — and fully autonomous.” – Pini (on the Bezos principle)[00:34:07] “You're already positionless — that's why you get to focus on what actually matters: the work.” – Pini, on Phillip's agile team setupAssociated Links:Learn more about Optimove's platformsLearn more about Positionless MarketingCheck out Future Commerce on YouTubeCheck out Future Commerce+ for exclusive content and save on merch and printSubscribe to Insiders and The Senses to read more about what we are witnessing in the commerce worldListen to our other episodes of Future CommerceHave any questions or comments about the show? Let us know on futurecommerce.com, or reach out to us on Twitter, Facebook, Instagram, or LinkedIn. We love hearing from our listeners!

Luke Stiles is a product advisor and consultant who helps build products and grow companies, focusing on widespread adoption of Generative AI. On June 25, he will facilitate a workshop at ITX's 2-day Product + Design Conference (June 25-26). In this episode of Product Momentum, Luke joins Sean and Dan to talk about topics ranging … The post 164 / Luke Stiles, on GenAI: ‘The Value of Humanity Will Go Up' appeared first on ITX Corp..

In this episode, Amir speaks with Ameya Brid, Global Director of Data & Analytics at Invista, about the maturation of GenAI conversations in the enterprise. They dive into the shift from hype to implementation, real-world challenges like data quality and change management, and how composable architecture is helping organizations adapt to rapid innovation cycles.

AI went boom this week.

US healthcare has more unproductive labor and more unstructured data than any other industry, making it both vulnerable to disruption from generative AI and especially unprepared for it.That's the provocative thesis of Eric Larsen, president of TowerBrook Advisors. In this episode, he joins host Steve Kraus to explain why generative AI is unlike any other technology we've seen—and why the $4.9 trillion healthcare sector is uniquely exposed.We cover:

Is your GenAI stack bloated, scattered, or underused? You're not alone.  In this Huddles Quick Take, GenAI advisor Nicole Leffer delivers a fast-paced, practical deep dive into what marketers are still getting wrong with GenAI—and how to fix it. You'll also learn why Deep Research may be the most powerful feature you're not using.  Plus, Nicole shares how ChatGPT helped her build a full keynote deck (including visuals!) and how to stay on top of hallucination risks in strategic work.  What You'll Learn  3 common GenAI mistakes marketers make—plus one just for CMOs  Why most teams only need one core tool (and which Nicole ranks highest)  How to use Deep Research to analyze competitors, build strategy, and repurpose content  Why great prompting starts with generous context and a clear goal  Want more? Catch the rest of the conversation on the CMO Huddles Hub YouTube channel or click here: https://www.youtube.com/watch?v=XbdXnseUK-U     For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

In this episode of the HR Leaders Podcast, we sit down with Juan Pablo Velasquez, CHRO at Fyffes and author of the book Respectful Rebels, to explore the power of respectful rebellion in leadership, navigating polarities in organizational culture, and his insights from leading HR across global markets. Juan Pablo shares personal stories illustrating the value of curiosity, taking risks, and effectively challenging the status quo. The conversation explores how combining respect with rebelliousness can drive positive organizational change and impactful leadership.

I saw an article on AI usage that is based on an upcoming book that suggests redesigning the world around new tech, not adding it to existing things. The first example is how electricity was introduced to existing factories, but it only provided some incremental gains until new factories were redesigned around electric motors. There's also an example given about reworking hotels to remove the front desk since that feature isn't needed. Instead, people could walk in, and an employee with a tablet could find them to check them in. I'm all for rethinking and redesigning processes. I do think we have a huge glut of software in many organizations that exists because processes have evolved across time, but not everything and we keep our old software. When we have a new need or want a new capability, we add new software (or add features), but we don't necessarily throw out all the old software, processes, or habits. That wouldn't be practical, often because when we implement something new, it might not meet all our needs. Or at least we don't know it meets our needs at first. Read the rest of Changing the Paradigm of Work

There has been a lot of buzz over the last 12 months surrounding the use of GenAI. We are all familiar with the likes of ChatGPT, Perplexity, and others, but what is the real value of AI when used correctly? I sat down with Alex Heublein of NETSURIT to talk about how they take an approach with their clients that involves democratizing AI and automation.

In this episode of Technovation, host Peter High speaks with Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet, a global leader in business decision-making data and analytics. Gary shares how he oversees the company's end-to-end data strategy, from acquisition and normalization to advanced analytics and GenAI integration, serving a customer base that spans Fortune 500 giants to small businesses. Learn how Gary's team fuels innovation through alternative data, builds trusted AI tools like ChatD&B, and partners directly with C-level clients to deliver decision-ready intelligence.

Recently, I got caught in a bit of a storm. People on YouTube got angry about the use of AI footage in my recent documentary on brand mascots. “AI slop! I'm not watching this stuff!” It got me wondering (some great comments in that LinkedIn thread) about what the future for brands would be like. Enter: Joe Burns, who's been dropping the most insightful and amazing flipbooks on LinkedIn.Joe did not disappoint, we had a fascinating conversation about the impact AI has on brands, creative teams, the agency world, content creation, and the strategy behind it. Joe brings a fresh perspective to the table, or as he likes to call them, ‘strategic cold cuts'. There is no playbook for the future, but Joe is giving us some handles to think about what's coming, and I'm grateful for it. What do you think? Is the sloppening upon us? Let me know by replying to the email or commenting on Substack. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit letstalkbranding.substack.com

Scientific research is the foundation of many innovative solutions in any field. Did you know that Dynatrace runs its own Research Lab within the Campus of the Johannes Kepler University (JKU) in Linz, Austria - just 2 kilometers away from our global engineering headquarter? What started in 2020 has grown to 20 full time researchers and many more students that do research on topics such as GenAI, Agentic AI, Log Analytics, Procesesing of Large Data Sets, Sampling Strategies, Cloud Native Security or Memory and Storage Optimizations.Tune in and hear from Otmar and Martin how they are researching on the N+2 generation of Observability and AI, how they are contributing to open source projects such as OpenTelemetry, and what their predictions are when AI is finally taking control of us humans!To learn more about their work check out these links:Martin's LinkedIn: https://www.linkedin.com/in/mflechl/Otmar's LinkedIn: https://www.linkedin.com/in/otmar-ertl/Dynatrace Research Lab: https://careers.dynatrace.com/locations/linz/#__researchLab

What happens when.... AI agents are everywhere?To learn, we tapped into the insights from one of the leading voices in AI, Babak Hodjat, who's resume includes helping create the tech behind the original AI agents like Siri.So, how do enterprises prepare for a multi-agent environment? Tune in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Babak questions on AI agentsUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Understanding Agents and Large Language Models2. Implementing Multi-Agent Systems3. Hallucinations and Errors in AI Systems4. Usage and Organization within Multi-Agent EnvironmentsTimestamps:00:00 "Rethinking Enterprise with Multi-AI Agents"05:33 AI Agents Buzz at Davos07:57 Code Execution via Agent Tools10:03 Emerging Trend: Multi-Agent AI Integration14:40 Responsible Multi-Agent System Design19:35 Multi-Agent System Alignment Challenges21:19 Resilient AI Through Redundancy26:26 Generative AI Business Strategies27:45 Rethinking Human-Device Interaction31:16 Multi-Agent Enterprise IntegrationKeywords:Everyday AI, podcast, generative AI, agents, large language models, enterprise companies, multi agent environments, decision making process, Cognizant, Neuro AI, startup culture, agentic AI environments, technology services, AI first company, natural language processing, decision systems, agentification, POC (proof of concept), modular software, agent alignment, AI ethics, human in the loop, multi agent systems, organizational decision making, enterprise productivity, knowledge worker, conversational systems, AI strategy, AI safety, organizational agility.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In this episode of Campus Technology Insider Podcast Shorts, host Rhea Kelly discusses the latest findings on generative AI training needs among college students and employers. The podcast also highlights Louisiana State University's new student-run security operations center and National University's launch of "The Nest," a support hub for online and working learners. For more updates on education technology, visit campustechnology.com. 00:00 Introduction to Campus Technology Insider Podcast 00:17 Generative AI in Education: A Growing Demand 00:53 Cybersecurity Education at LSU: Launch of TigerSOC 01:26 National University's New Student Support Hub: The Nest 02:03 Conclusion and Further Resources Source links: Report: 93% of Students Believe Gen AI Training Belongs in Degree Programs Louisiana State University Doubles Down on Larger Student-Run SOC National U Launches Student Support Hub for Non-Traditional Learners Campus Technology Insider Podcast Shorts are curated by humans and narrated by AI.

So many new Google AI updates at Google I/O, we had to do an encore. Google dropped dozens of new AI tools, features and modes inside their Gemini model and just about everywhere else. We already counted down the first half, so join us LIVE as we talk about the best of the best of hashtag#GoogleIO announcements. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google IO AI Updates Coverage - Part TwoGoogle's AI Advancements and Current Standing in AI IndustryRecap of Previous Episode's Google IO AI Updates (15 to 8)Overview of New Google IO AI Features (7 to 1)Google's AI Tools: Flow and VEO ThreeVEO Three's Capabilities and Business ApplicationsGoogle's AI Mode in Google SearchGemini Live and Project Astra IntegrationUpdates to Google's Gemini 2.5 ModelsIntroduction of Google AI Ultra SubscriptionProject Mariner and Agent Mode CapabilitiesTimestamps:00:00 Google Leads in AI Innovation04:56 Google's Top 7 AI Updates09:05 "Flow: Seamless Scene Stitching Tool"13:36 Embracing AI Tools in Video Production14:20 "v o Three Buzzing on Social Media"18:04 "Upgrading Video Production Technology"23:55 Amazed by AI's Realism25:28 AI Watermarking and Evasion Trends28:32 Google's AI Search Strategy34:52 Feature Access Across Pricing Plans35:42 "Gemini's Impactful AI Action Intelligence"40:21 Gemini 2.5 Pro's Enhanced Capabilities44:52 Google AI Plan Limitations Rant47:00 "Project Mariner: Autonomous AI Agent"50:09 "Project Mariner: AI Integration Potential"52:54 AI Newsletter Sign-Up & FeedbackKeywords:Google IO, AI updates, Gemini model, New AI offerings, Google AI, Business growth, AI features, Flow filmmaking tool, Google v o three, AI video generation, Project Astra, AI assistant, AI mode in Google search, AI-powered technology, Real-time translation, Gemini app updates, Gemma three n, Agent mode, Project Mariner, Google AI Ultra, AI subscription, Ultra pricey, NotebookLM updates, Personalized email, AI search, Content retrieval, Camera-based visual understanding, Native audio generation, Improved consistency, Character dialogue, Ambient sounds, Scene trSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

VEO 3, Gemini Diffusion, Android AR Glasses & so much more… Google went HAM on the AI space this week at Google I/O. Plus, Sam Altman spends 6.5B on AI wearables & Jony Ive. After last year's semi-lackluster I/O event, this year Google rolled out Sergei Brin & Demis Hassabis and a whole lot of new product. We go deep on all of it but especially VEO3. Gavin bought the enormously expensive Google AI Ultra plan to tell you how it works. Plus, Anthropic's Claude 4 is rumored to come out… today? Microsoft's Build event showed off how MCP will directly integrate into Windows, OpenAI's Codex software agent and, yes, MMA Fighting Robots.  IT'S MOVING REAL FAST AGAIN Y'ALL. SPEED UP INITIATED!   Join the discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // Google's I/O Keynote https://www.youtube.com/watch?v=o8NiE3XMPrM Google's Sergei Brin on his return and Gemini AGI https://x.com/vitrupo/status/1924997623129505799 Veo3, Imagen 4 & Flow AI Video & Image Models https://blog.google/technology/ai/generative-media-models-io-2025/ Veo 3 Specifics From DeepMind https://deepmind.google/models/veo/ “Can We Talk” VEO 3 Example https://x.com/arikuschnir/status/1924953349943697763 Gavin's VEO 3 Generations 70's Chef Show https://x.com/AIForHumansShow/status/1924934882930917861 Hot Dog City Rap: https://x.com/AIForHumansShow/status/1924937880369299934 Cursed Mayo: https://x.com/AIForHumansShow/status/1924949594796130779 Action Scene With Four Attempts: https://x.com/AIForHumansShow/status/1924943671323168976 Fortnite Generated in VEO 3 https://x.com/mattshumer_/status/1924994290729599222 Gemini AI Ultra costs $250 (!!) per month https://www.theverge.com/news/670495/google-ai-ultra-plan-pricing-launch-io-2025 Google's Android XR Gemini Glasses https://blog.google/products/android/android-xr-gemini-glasses-headsets/ Gemini Diffusion https://deepmind.google/models/gemini-diffusion/ Google's Try It On Experiment https://blog.google/products/shopping/how-to-use-google-shopping-try-it-on/ Google Beam https://blog.google/technology/research/project-starline-google-beam-update/ OpenAI Buying Jony Ive's AI Wearables Start-up for 6.5b https://x.com/markgurman/status/1925235383102812491 OpenAI's Video With Sam & Jony Ive For New Device Company https://x.com/sama/status/1925242282523103408 Claude 4 Coming Soon Rumors  https://x.com/btibor91/status/1925084250107478506 Code With Claude Event https://www.anthropic.com/news/Introducing-code-with-claude Microsoft Build: MCP in Windows https://www.microsoft.com/en-us/microsoft-copilot/blog/copilot-studio/introducing-model-context-protocol-mcp-in-copilot-studio-simplified-integration-with-ai-apps-and-agents/ AI Darth Vader in Fortnite https://x.com/DiscussingFilm/status/1923361246457241679 AND… SAG-AFTRA is involved. https://arstechnica.com/ai/2025/05/fortnites-ai-darth-vader-spawns-unfair-labor-practice-charge-from-voice-union/ MECH COMBAT ARENA!!!!! https://x.com/TheHumanoidHub/status/1923087269914706414 VEO 3 Examples Entire Car Convention Video: https://x.com/laszlogaal_/status/1925094336200573225 Skate Park Interview: https://x.com/venturetwins/status/1924927087842087322 Dog Runs to front Porch: https://x.com/nmatares/status/1924931844879134804 AI Stand-up https://x.com/fofrAI/status/1924924738494669011 Bear Stand-up: https://x.com/AIForHumansShow/status/1925210779168768225  

In this episode of the HR Leaders Podcast, we sit down with Alim A. Dhanji, CHRO at TD SYNNEX to explore how companies can protect their most valuable asset: culture. As AI reshapes work, Alim explains why empathy, values, and leadership vulnerability are the ultimate differentiators.Drawing from his experience as CHRO and President at Adidas Canada, Alim shares a candid perspective on leading with courage, speaking the language of business, and creating workplaces where humanity still matter.

As artificial intelligence (AI) transforms modern life, we're understanding more about the benefits and tradeoffs of its use in generating content. New alum Paul Kim wrote his master's thesis about how generative AI (genAI) perpetuates false narratives about Asian and Pacific Islander Americans (APIA), and how communities can use genAI to reclaim those narratives.In this episode, producer Willa Seidenberg talks with Paul about his thesis, Encoding Counter Memories: Artificial Intelligence as a Tool for APIA Community Empowerment. He completed it for his dual master's degree in heritage conservation and landscape architecture and urbanism.They discuss ethical concerns like misinformation and data privacy, how bias affects APIA heritage, and how communities can—and must—use it to share their stories and amplify accurate history. Paul's already on the case as a Past Futures Fellow for Asian and Pacific Islander Americans in Historic Preservation (APIAHiP)!See episode page for photos, resources, and transcript.Connect with us on Instagram, Facebook, and LinkedIn!

What do ChatGPT, cloud servers, and nuclear reactors have in common? More than you think. As AI expands and tech giants scramble for energy that's clean, constant, and scalable, nuclear power is stepping into the spotlight. In this episode, Mary and Jordan sit down with Faraz Ahmad, the former head of Amazon's global clean energy team, to explore why Big Tech is betting on nuclear. With a résumé spanning GE, NextEra, and British Nuclear Fuels, Faraz offers a rare insider's look at why nuclear is becoming essential infrastructure for the digital age.Visit us at www.nei.org/fissionary.Learn more about nei.org/soti2025Music used in this episode was created by Beat Mekanik

Google just dropped like 3 years of AI updates on us in 3 hours.

Microsoft legit just dropped a book of AI updates at the Build Conference.We're going to go over the 5 most impactful AI-powered Microsoft Copilot updates and how they will change the future of work. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:GitHub Copilot's Autonomous Coding Partner UpdateCopilot Tuning for Enterprise CustomizationIntroducing Agent Foundry on AzureMulti-Agent Orchestration in Copilot StudioComputer Use Automation in CopilotMCP Native Support in Microsoft SystemsTimestamps:00:00 "Everyday AI: Transform Your Business"06:42 AI Coding Assistant Evolution09:29 Copilot Tuning for Business Leaders10:56 Data Privacy Concerns in Cloud Use16:52 "AI Collaboration Among Tech Giants"20:48 "Multi-Agent Orchestration Cautions"22:59 "Multi-Agent Orchestration in Copilot Studio"25:27 OpenAI Copilot Access and Availability29:38 Copilot Pro: Versatile AI Agent35:13 Microsoft Embraces Open AI Collaboration36:57 "Security Concerns Slow AI Rollout"39:44 Subscribe & Review RequestKeywords:Microsoft Build 2025, AI updates, Copilot AI updates, GitHub Copilot, GitHub Copilot coding agent, Autonomous coding partner, Visual Studio Code, Multimodal understanding, Natural language prompts, MCP protocol, Model context protocol, Anthropic, Microsoft 365 Copilot, Business leaders, Copilot tuning, Organization's internal data, Low code model tuning, Task specific agents, Secure service boundary, Azure, Agent foundry, AI agent playground, Enterprise grade AI agents, Grok, Elon Musk, Microsoft Azure, Agent to agent protocol, A to A, Multi agent orchestration, Copilot Studio, Agents collaboration, Agentic memory, Automated validation tools, Computer use in Copilot, Desktop applications, Repetitive tasks, MCP native support, Windows 11, Future of work, Third party applications, Agentic web, Security and access controls.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Dan Nathan is joined by Brad Erickson, an internet analyst at RBC Capital Markets, at the RBC Capital Private Tech Conference. They discuss the performance and outlook of key tech stocks like Google and Meta amidst market volatility and AI developments. The conversation highlights the impact of AI search on Google's revenue and the competitive landscape between Google and Apple. Erickson also touches on Meta's growth in advertising efficiency and new product rollouts. After the break, Dan dives into the broader effects of generative AI on other software companies like ServiceNow and Snowflake with Matt Hedberg, Managing Director and Head of Software Research at RBCCM. Hedberg elaborates on the early monetization of AI in software, the long-term potential of companies like Snowflake and ServiceNow, and the strategic importance of cybersecurity firms like CrowdStrike and Palo Alto in an evolving tech landscape. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

In this episode of the HR Leaders Podcast, we sit down with Sarnjit Kaur, Chief People Officer International at Cox Automotive Inc., to explore how HR leaders can transform data into board-level ROI.Sarnjit shares how HR teams can elevate people analytics from operational metrics to strategic insights, and how combining empathy with business acumen can unlock real impact.

The Gen AI revolution is reshaping industries, offering transformative potential. Companies must embrace innovation, educate employees, and address ethical risks to unlock creativity and thrive in this new era of AI-driven possibilities. That's the key take-away message of this episode of the Wise Decision Maker Show, which discusses embracing the Gen AI revolution.This article forms the basis for this episode: https://disasteravoidanceexperts.com/embracing-the-gen-ai-revolution/

Sandra Finkelstein is a fashion innovation leader who builds next-gen brands, platforms, and ideas that drive growth. She leverages GenAI and machine learning to streamline trend detection, product creation, and design workflows. Sandra thrives in fast-moving, purpose driven teams where innovation leads to real impact.In this episode, Cathy Quain interviews Sandra Finkelstein on how she's using generative AI to reshape fashion through sustainable design and innovation. With experience at Calvin Klein, J.Crew, and Amazon, she shares insights on the future of fashion tech.

Join AWS executives Tony Chor (VP, Builderworks) and Becky Weiss (VP, Distinguished Engineer) as they discuss implementing generative AI in enterprise software development. This conversation reveals how organizations are finding unexpected value in AI-powered "outer loop" tasks like documentation and ticket management, rather than just code generation. The executives share insights on managing workforce concerns, highlight how junior engineers are often leading AI adoption, and discuss the democratization of development through AI tools. Whether you're navigating developer resistance to AI or looking to maximize its benefits, this discussion offers practical perspectives on integrating generative AI into development workflows, complete with strategic advice for leaders on experimentation and adaptation in this rapidly evolving technology landscape.

This is our 100th episode! A super special look at AI and the Environment, we interviewed 4 experts for this DeepDive episode. We chatted about water stress, the energy usage of AI systems and data centres, using AI for fossil fuel discovery, the geo-political nature of AI, GenAI vs other ML alogrithms for energy use, demanding transparency on energy usage for training and operating AI, more AI regulation for carbon consumption, things we can change today like picking renewable hosting solutions, publishing your data, when doing "responsible AI" you must include the environment, considering who are the controllers of the technology and what do they want, and more...

The Institute of Internal Auditors Presents: All Things Internal Audit Tech In this episode, Charles King talks with Debbie Lew about the transformative role of artificial intelligence in internal auditing. They discuss the integration of AI tools like Copilot, the importance of prompt writing, and how AI is enhancing audit processes. The conversation also covers training strategies, real-world applications, and the impact of AI on stakeholder engagement.   HOST:  Charles King, CIA, CPA, CFE, CIPP Partner, AI in Internal Controls Leader, KPMG US GUEST: Debbie Lew, CISA, CRISC, CHIAP Senior Vice President and Chief Audit Executive, Kaiser Permanente Key Points: Introduction [00:00-00:38] Inside Kaiser Permanente's Internal Audit Team [00:39-02:14] AI Adoption at Kaiser Permanente [02:15-03:21] Prompt Writing as a Core Skill [03:22-04:10] Guidance Manuals and Prompt Libraries [04:11-05:02] Building AI Agents to Support Audits [05:03-05:51] Training, Communication, and Driving Adoption [05:52-07:23] Innovative Applications of GenAI in Audit [07:24-08:28] Inspiring a Tech-Forward Culture [08:29-10:06] Final Thoughts [10:07-10:31]   IIA Related Content:  Interested in this topic? Visit the links below for more resources. 2025 International Conference Knowledge Centers: Artificial Intelligence Auditing the Cybersecurity Program Certificate Cybersecurity Topical Requirement “Undercover AI,” Internal Auditor Magazine  The IIA's Updated AI Auditing Framework   Visit The IIA's website or YouTube channel for related topics and more.   Follow All Things Internal Audit: Apple Podcasts Spotify Libsyn Deezer  

OpenAI made a coding splash. Anthropic is in legal trouble for .... using its own Claude tool? Google went full multimedia. And that's only the half of it. Don't spend hours a day trying to keep up with AI. That's what we do. Join us (most) Mondays as we bring you the AI News That Matters. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Salesforce Acquires AI Startup ConvergenceGoogle AI Studio's Generative Media PlatformMajor AI Conferences: Microsoft, Google, AnthropicAnthropic's Legal Citation Error with AIDeepMind's Alpha Evolve Optimization BreakthroughUAE Stargate: US and UAE AI CollaborationOpenAI's GPT 4.1 Model ReleaseOpenAI's Codex Platform for DevelopersTimestamps:00:00 Busy week in AI03:39 Salesforce Expands AI Ambitions with Acquisition10:31 "Google AI Studio Integrates New Tools"13:57 Microsoft Build Focuses on AI Innovations16:27 AI Model and Tech Updates22:54 "Alpha Evolve: Breakthrough AI Model"26:05 Google Unveils AI Tools for Developers28:58 UAE's Tech Expansion & Global Collaboration30:57 OpenAI Releases GPT-4.1 Models34:06 OpenAI Codex Rollout Update37:11 "Codex: Geared for Enterprise Developers"41:41 Generative AI Updates ComingKeywords:OpenAI Codex, Codex Platform, Salesforce, Convergence AI, Autonomous AI agents, Large Language Models, Google AI Studio, generative media, Imagine 3 model, AI video generator, Anthropic, Legal citation error, AI conference week, Microsoft Build, Claude Code, Google IO, agentic AI, Alpha Evolve, Google DeepMind, AI driven arts, Gemini AI, UAE Stargate, US tech giants, NVIDIA, Blackwell GB 300 chips, Wind Surf, AI coding assistant, codex one model, coding tasks, Google Gemini, Semantic search, Copilot enhancements, XR headset, project Astra, MCP protocol, ChatGPT updates, API access, AI safety evaluations, AI software agents, AI studio sandbox, GPT o series, AI infrastructure, data center computing, Tech collaboration, international AI expansion.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

Gm! This week we're joined by Tom Dunleavy & Ryan Berckmans to discuss the bull case for Ethereum. We deep dive into Ethereum's big pivot, how to value the L1, should L2 tokens exist, the role of Etherealize, what's next for ETH & more. Enjoy! -- Start your day with crypto news, analysis and data from Katherine Ross. Subscribe to the Empire newsletter: https://blockworks.co/newsletter/empire?utm_source=podcasts Follow Ryan: https://x.com/ryanberckmans Follow Tom: https://x.com/dunleavy89 Follow Jason: https://x.com/JasonYanowitz Follow Santi: https://x.com/santiagoroel Follow Empire: https://twitter.com/theempirepod Join the Empire Telegram: https://t.me/+CaCYvTOB4Eg1OWJh -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Grab your tickets to Permissionless IV. Use code EMPIRE10 for 10% off: https://blockworks.co/event/permissionless-iv -- ZKsync is the pioneering zero-knowledge technology powering the next generation of builders with limitless scale. Secured by math and designed for native interoperability, ZKsync enables an elastic, ever-expanding network of customizable chains. Deeply rooted in its mission to advance personal freedom for all, the ZKsync technology makes digital self-ownership universally available. To learn more about ZKsync, visit http://www.zksync.io -- Zenrock is a permissionless, decentralized custody network backed by 1RoundTable Partners, 10T, Maven11, and Spartan. Live on Jupiter, $ROCK is the native token for transactions within the Zenrock ecosystem and secures Zenrock's decentralized custody network. The first application launching on Zenrock is zenBTC – yield-bearing Bitcoin on Solana. zenBTC will be live in April 2025. -- Crypto never sleeps. So we built an Al analyst that never blinks. Meet Focal by FalconX: a GenAI insights engine built for institutional crypto. Already used by 80+ funds managing $10B+ in AUM.

- Nissan Could Close Plants in Japan - Japanese Government Tries to Save Nissan - Xiaomi YU7 Targets Tesla Model Y - VW Drops ID Name for EVs - BMW Using Gen-AI in Purchasing - Suppliers Love GM, Hate Ford - Aito Shoves BMW, Mercedes, Audi Aside - Tesla Cybertruck Trade-In Values Plummet  - Autoline Poll Results on Stop/Start

In Episode 97 of The Product and Growth Show, I spoke with Geoff Stead, former CPO at Babbel and MyTutor. We discussed consumer apps, the impact of GenAI, and what it takes to find a new role as a CPO. Tune in! What did we talk about? - Balancing product promises and growth in a consumer app - Building a product organization in a marketing-led consumer business - Most exciting product challenges at Babbel and MyTutor - Engagement ladders for consumer apps - Advice for CPOs looking for a new role Geoff on LinkedIn: https://www.linkedin.com/in/geoffstead/

- Nissan Could Close Plants in Japan - Japanese Government Tries to Save Nissan - Xiaomi YU7 Targets Tesla Model Y - VW Drops ID Name for EVs - BMW Using Gen-AI in Purchasing - Suppliers Love GM, Hate Ford - Aito Shoves BMW, Mercedes, Audi Aside - Tesla Cybertruck Trade-In Values Plummet  - Autoline Poll Results on Stop/Start

SoftBank's Vision Fund made history with its $100 billion war chest, backing game changing companies from Uber to TikTok. But Masa's ambition doesn't stop there. SoftBank is already looking ahead, aiming to shape the future of generative AI and its infrastructure.In this special bonus episode, we dive into the next decade of SoftBank's strategy. Specifically, how they're positioning themselves to dominate AI infrastructure, from massive data centers to edge computing. We break down the role of ARM, the rise of AI processing on the edge, and how AlphaSense insights can deepen your understanding of SoftBank's daring strategies.-Our series is proudly sponsored by AlphaSense.-Access expert analyst reports, perfectly summarised by Gen-AI with precision and no hallucinations. Support our productions by  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠booking your free trial ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠today.-Want to showcase your brand to listeners with a combined net worth of over $1 billion and a network of 100,000+ employees and industry contacts? Drop us an email: sales@1upmediapodcast.com-We're looking to grow our team! Support our productions by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buying us a coffee⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-Want to meet the team? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow me here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠-If you love the style of Empires, and want similar content, check out:

Engagement is key. Knowing your audience is crucial.  How do you get people to listen when they aren't interested in the topic you're presenting, aka eDiscovery, GenAI, machine learning, document review, etc.   In this podcast, the speakers will fill your cups to the brim with ideas, tips, and various avenues for engagement.  In addition, they will provide you with key suggestions in how to learn to speak your audience's language to get them to understand what your offering. Moderator: Shawn McClurg, Director of Practice Solutions, Miles & Stockbridge P.C. Speakers: Cheryl Wilson Griffin, VP of Vendor Advisory, LegalTechnology Hub Kalina Leopold Oak, Director of Marketing & Communications, Justice Technology Association 

Scott has spent over 25 years in the IT field, working in disciplines such as systems architecture, software development, team growth, and entrepreneurship. He was a Microsoft MVP for 12 years in ASP.NET and IIS. He's co-authored two books (IIS 7 and IIS 8 Professional), is a Pluralsight author, and has spoken at various conferences, code camps, and user groups. He's now shifted into the AI space, building AI solutions and supporting others in their AI journey. Scott co-founded a new startup, Kitchen Copilot, using all the new GenAI tech to help people cook more at home and eat healthier.   Topics of Discussion: [1:34] Scott's career journey and how Kitchen Copilot originated. [7:27] More about Kitchen Copilot's features. [9:35] How Kitchen helps with meal planning and recipe discovery for all levels of at-home chefs. [13:17] The technical process of importing recipes. [15:58] Using Microsoft Document intelligence to read handwriting and take screenshots of cookbook recipes. [17:13] Deployed pieces of the application. [20:43] E-mail import and queuing system. [23:32] Choice of LLM models including Groq. [29:37] Automated testing approach for LLM-based applications. [31:36] Hosting details.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo Flowise Attention is all you need Kitchen Copilot Make Perplexity Claude Groq About Groq Scott on LinkedIn Kitchen Copilot AI Generator   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

It likely isn't a surprise to many of you that executives like AI. A survey shows that 74% of executives surveyed have greater confidence in AI-generated insights than advice from colleagues or friends. At the board level, even more (85%) favor AI-driven advice. That's amazing to me, and while I might think this is a bit too much trust being placed in these GenAI LLMs, perhaps it's also partially because they work with too many people who aren't great at their jobs. Plenty of people skim through data or focus on certain things and might miss the details. While an AI can read and summarize a lot, it might not have the context we expect. I tend to be a bit skeptical of AI summaries, often because they don't necessarily weigh the different parts of an article the same way that I do. Read the rest of The AI View From Above

Think AI is hitting a wall? Nope. This is just the start. Actually, we're at the first chapter. Here's what that means, and how you can move your company ahead. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the conversationUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Generative AI's current phaseMeta's in-house AI chips developmentOpenAI's new developer toolsDay zero of AI and future prospectsReinforcement learning advancementsEmergent reasoning capabilities in AIBusiness implications of AI advancementsAI in healthcare and scienceTimestamps:00:00 Day Zero of AI03:31 AI Tools Enhance Customization & Access09:02 Reinforcement Learning Enhances AI Reasoning11:27 Agentic AI: The Future of Tasks15:59 Tech Potential vs. Everyday Utilization18:48 AI Models Offer Broad Benefits23:15 "Generative AI: Optimism and Oversight"27:08 Generative AI vs. Domain-Specific AI29:24 Superhuman AI: Next FrontierKeywords:Generative AI, Fortune 100 leaders, chat GBT, Microsoft Copilot, enterprise companies, day zero of AI, livestream podcast, free daily newsletter, leveraging AI, capital expenditures, Meta AI chips, Nvidia, Taiwan's TSMC, AI infrastructure investments, Amazon, Google, Microsoft, OpenAI, responses API, agents SDK, legal research, customer support, deep research, agentic AI, supervised learning, reinforcement learning, language models, health care, computational biology, AlphaFold, protein folding prediction.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In Episode 5, host Jordan L. Fischer, Esq. interviews Professor of Law, Nancy B. Rapoport, and Joseph Tiano, CEO of Legal Decoder, on the long term impact of Artificial Intelligence, and specifically Generative AI, on the billable hourly model. Nancy and Joe share their perspectives having interviewed numerous law firms for their recent publication, Fighting the Hypothetical: Why Law Firms Should Rethink the Billable Hour in the Generative AI Era, 20 Wash. J. L. Tech. & Arts 41 (2025). Specifically, they discuss the specific ways in which they are seeing Gen AI change day-to-day legal operations, and how those impacts will result in changes to client billing expectations. Nancy and Joe provide insight into alternative billing models, and a new hybrid approach that law firms need to embrace in order to adapt to the changing times. For more information on Professor Rapoport, visit: https://www.linkedin.com/in/nancyrapoport/; for more information on Joesph Tiano, visit: https://www.linkedin.com/in/joseph-tiano-1767372/. To contact our host, Jordan L. Fischer, Esq., regarding this podcast or to inquire into becoming a guest, please contact Ms. Fischer at jordan@jordanfischer.me.

Our analysts Adam Jonas and Sheng Zhong discuss the rapidly evolving humanoid technologies and investment opportunities that could lead to a $5 trillion market by 2050. Read more insights from Morgan Stanley.----- Transcript -----Adam Jonas: Welcome to Thoughts on the Market. I'm Adam Jonas Morgan Stanley's Global Head of Autos and Shared Mobility.Sheng Zhong: And I'm Sheng Zhong, Head of China Industrials.Adam Jonas: Today we're talking about humanoid robots and the $5 trillion global market opportunity we see by 2050.It's Thursday, May 15th at 9am in New York.If you're a Gen Xer or a boomer, you probably grew up with the idea of Rosie, the robot from the Jetsons. Rosie was a mechanical butler who cooked, cleaned, and did the laundry while dishing out a side of sarcasm.Today's idea of a humanoid robot for the home is much more evolved. We want robots that can adapt to unpredictable environments, and not just clean up a messy kitchen but also provide care for an elderly relative. This is really the next frontier in the development of AI. In other words, AI must become more human-like or humanoid, and this is happening.So, Sheng, let's start with setting some expectations. What do humanoid robots look like today and how close are we to seeing one in every home?Sheng Zhong: The humanoid is like a young child, in my opinion, although their abilities are different. A robot is born with a developed brain that is Large Language Model, and its body function develops fast.Less than three years ago, a robot barely can walk, but now they can jump, they can run. And just in last week, Beijing had a humanoid half marathon. While robot may lack on connecting its brain to its body action for work execution; sometimes they fail a lot of things. Maybe they break cups, glasses, and even they may fall down.So, you definitely don't want a robot at home like that, until they are safe enough and can help on something. To achieve that a lot of training and practice are needed on how to do things at a high success rate. And it takes time, maybe five years, 10. But in the long term, to have a Rosie at every family is a goal.So, Adam, our U.S. team has argued that the global humanoid Total Adjustable Market will reach $5 trillion USD by 2050. What is the current size of this market and how do we get to that eye-popping number in next 25 years?Adam Jonas: So, the current size of the market, because it's in development phase, is extremely low. I won't put it a zero but call it a black zero – when you look back in time at where we came from. The startups, or the public companies working on this are maybe generating single digit million type dollar revenues. In order to get to that number of $5 trillion by 2050 – that would imply roughly 1 billion humanoids in service, by that year. And that is the amount of the replacement value of actual units sold into that population of 1 billion humanoid robots on our global TAM model.The more interesting way to think about the TAM though is the substitution of labor. There are currently, for example, 4 billion people in the global labor market at $10,000 per person. That's $40 trillion. You know, we're talking 30 or 40 per cent of global GDP. And so, imagining it that way, not just in terms of the unit times price, but the value that these humanoids, can represent is, we think, a more accurate way of thinking about the true economic potential of this adjustable market.Sheng Zhong: So, with all these humanoids in use by 2050, could you paint us a picture in broad strokes of what the economy might look like in terms of labor market and economic growth?Adam Jonas: We can only work through a scenario analysis and there's certainly a lot of false precision that could be dangerous here. But, you know, there's no limit to the imagination to think about what happens to a world where you actually produce your labor; what it means for dependency ratios, retirement age, the whole concept of a GDP could change.I don't think it's an exaggeration to contemplate these technologies being comparable to that of electric light or the wheel or movable type or paper. Things that just completely transform an economy and don't just increase it by five or 10 per cent but could increase it by five or 10 times or more. And so, there are all sorts of moral and ethical and legal issues that are also brought up.The response to which; our response to which will also dictate the end state. And then the question of national security issues and what this means for nation states and, we've seen in our tumultuous human history that when there are changes of technologies – even if they seem to be innocent at first, and for the benefit of mankind – can often be uh, used to, grow power and to create conflict. So Sheng, how should investors approach the humanoid theme and is it investible right now?Sheng Zhong: Yes, it's not too early to invest in this mega trend. Humanoid will be a huge market in the future, like you said. And it starts now. There are multi parties in this industry, including the leading companies from various background: the capital, the smart people, and the government. So, I believe the industry will evolve rapidly. And in Morgan Stanley's Humanoid: A Hundred Report a hundred names was identified in three categories. They are brand developers, bodies components suppliers, and the robot integrators. And we'd like to stick with the leading companies in all these categories, which have leading edge technology and good track record. But at the meantime, I would emphasize that we should keep close eyes on the disruptors.Adam Jonas: So, Sheng, it seems that national support for the humanoid and embodied AI theme in China is at least today, far greater than in any other nation. What policy support are you seeing and how exactly does it compare to other regions?Sheng Zhong: Government plays an important role in the industry development in China, and I see that in humanoid industry as well. So currently, the local government, they set out the target, and they connect local resources for supply chain corporation. And on the capital perspective, we see the government background funds flow into the industry as well. And even on the R&D, there are Robot Chinese Center set up by the government and corporates together. In the past there were successful experience in China, that new industry grow with government support, like solar panels, electronic vehicles. And I believe China government want to replicate this success in humanoids. So, I won't be surprised to see in the near future there will be national humanoid target industry standard setup or adoption subsidies even at some time.And in fact we see the government supports in other countries as well. Like in South Korea there is a K Humanoid Alliance and Korean Ministry of Trade has full support in terms of the subsidy on robotic R&D infrastructure and verification.So, what is U.S. doing now to keep up with China? And is the gap closing or widening?Adam Jonas: So, Sheng, I think that there's a real wake up call going on here. Again, some have called it a Sputnik moment. Of course the DeepSeek moment in terms of the GenAI and the ability for Chinese companies to show just extraordinary and remarkable level of ingenuity and competition in these key fields, even if they lack the most leading-edge compute resources like the U.S. has – has really again been quite shocking to the rest of the world. And it certainly gotten the attention of the administration, and lawmakers in the DOD. But then thinking further about other incentives, both carrot and stick to encourage onshoring of critical embodiment of AI industries – including the manufacturing of these types of products across not just humanoids, but electronic vertical takeoff and landing aircraft drones, autonomous vehicles – will become increasingly evident. These technologies are not seen as, ‘Hey, let's have a Rosie, the robot. This is fun. This is nice to have.' No, Sheng. This is seen as existential technology that we have to get right.Finally, Sheng, as far as moving humanoid technology to open source, is this a region specific or a global trend? And what is your outlook on this issue?Sheng Zhong: I actually think this could be a global trend because for technology and especially for humanoid, the Vision Language Model is obviously if there is more adoption, then more data can be collected, and the model will be smarter. So maybe unlike the Windows and Android dominant global market, I think for humanoid there could be regional level open-source models; and China will develop its own model. For any technology the application on the downstream is key. For humanoid as an AI embodiment, the software value needs to be realized on hardware. So I think it's key to have mass production of nice performance humanoid at a competitive cost.Adam Jonas: Listen, if I can get a humanoid robot to take my dog, Foster out and clean up after him, I'm gonna be pretty excited. As I am sure some of our listeners will be as well. Sheng, thank you so much for this peak into our near future.Sheng Zhong: Thank you very much, Adam, and great speaking with you,Adam Jonas: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

Blink, and you've already missed like 7 AI updates.The large language models we use and rely on? They change out more than your undies. (No judgement here.) But real talk — businesses have made LLMs a cornerstone of their business operations, yet don't follow the updates. Don't worry shorties. We've got ya. In our first ever LLM Monthly roundup, we're telling you what's new and noteworthy in your favorite LLMs. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:ChatGPT 4.1 New Features OverviewChatGPT Shopping Platform LaunchChatGPT's Microsoft SharePoint IntegrationChatGPT Memory and Conversation HistoryGoogle Gemini 2.5 Pro UpdatesGemini Canvas Powerful ApplicationsClaude Integrations with Google WorkspaceMicrosoft Copilot Deep Research InsightsTimestamps:00:00 Saudi Arabia's $600B AI Investment06:44 Monthly AI Model Update Show08:11 OpenAI Launches GPT-4.1 Publicly11:52 AI Research Tools Comparison16:29 Perplexity's Pushy Shopping Propensity19:55 ChatGPT Memory: Pros and Cons22:29 Gemini Canvas vs. OpenAI Canvas25:06 AI Model Competition Highlights28:25 Google Gemini Rivals OpenAI's Research32:30 "Claude's Features and Limitations"37:05 Anthropic's Educational AI Innovation39:02 Exploring Copilot Vision Expansion41:38 Meta AI Launch and Llama 4 Models46:27 "New iOS Voice Assistant Features"47:54 "Enhancing iOS Assistant Potential"Keywords:ChatGPT, AI updates, Large Language Model updates, OpenAI, GPT 4.1, GPT 4.0, GPT 4.5, GPT 4.1 Mini, Saudi Arabia AI investment, NVIDIA Blackwell AI chips, AMD deal, Humane startup, Data Vault, AI data centers, Logic errors moderation, Grox AI, Elon Musk, XAI, Google Gemini, ChatGPT shopping, Microsoft SharePoint integration, OneDrive integration, deep research, AI shopping platform, Google DeepMind, Alpha Evolve, evolutionary techniques, AI coding, Claude, Anthropic Claude, Confluence integration, Jira integration, Zapier integration, ChatGPT enterprise, API updates, Copilot pages, Microsoft three sixty five, Bing search, Meta AI, Llama 4, Llama 4 Maverick, Llama 4 Scout, Perplexity, voice assistant, Siri alternatives, Grok Studio, AI social network.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

AI is shaking up qualitative research: speeding things up, cleaning messy transcripts, and even identifying hidden patterns.Sounds amazing, right? Buuuuuuuut there's a catch. When does AI go from helpful assistant to heavy-handed editor, scrubbing out the human insights qualitative research was built on?In this episode of Everyday AI, we're tackling how to balance AI-powered qualitative research without losing touch with human nuance. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Importance of Qualitative Research TrainingChallenges in AI-Assisted Qualitative ResearchAI's Role in Data TranscriptionHuman-Led Analysis in Qualitative ResearchAI's Impact on Data AccessibilityLimitations of AI in Qualitative AnalysisFuture of AI and Qualitative ResearchCritical Thinking in AI-Assisted ResearchTimestamps:00:00 PhD and Qualitative Research Training05:07 "Qualitative Research and Multiple Narratives"08:04 AI in Research: Balancing Automation09:57 AI-Assisted Data Analysis Caution16:23 AI's Impact on Qualitative Research19:19 Analyzing Qualitative Data Interpretation25:11 Balancing AI in Qualitative ResearchKeywords:Qualitative research, qualitative researcher, AI use in research, AI in qualitative research, AI-informed, human-led, thoughtful AI use, research impacts, health psychology, apprentice plumber analogy, training for PhD students, data analysis, transcribing interviews, transcription time, structured versus unstructured data, meaning making, words as data, interpretive work, subjective interpretation, data set analysis, line by line coding, thematic analysis, story telling in research, ensuring rigor in research, critical thinking in research, efficiency in research processes, literature gap identification, data visualization, AI as an intern, sharing research findings with lay audience, implicit meaning in data, biases in models, accessibility of academic work, academic pressure to publish, research dissemination, insights from research, qualitative research processes, interpretation in qualitative research.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In the leadership and communications section, How CISOs can talk cybersecurity so it makes sense to executives, Firms to spend more on GenAI than security in 2025, Europe leads shift from cyber security ‘headcount gap' to skills-based hiring, and more! Next, pre-recorded interviews from RSAC Conference 2025, including: This segment is sponsored by Fortinet. Visit https://securityweekly.com/fortinetrsac to learn more about them! Unpacking the latest annual report from Fortinet's FortiGuard Labs. We're talking with Derek Manky, Chief Security Strategist and Global VP Threat Intelligence, Fortinet's FortiGuard Labs, to get a snapshot of the active threat landscape and trends from 2024, including a comprehensive analysis across all tactics used in cyberattacks, as outlined in the MITRE ATT&CK framework. The report reveals that threat actors are increasingly harnessing automation, commoditized tools, and AI to systematically erode the traditional advantages held by defenders. Read the full report at https://securityweekly.com/fortinetrsac. This segment is sponsored by Cobalt. Visit https://securityweekly.com/cobaltrsac to learn more about them! In this interview, Gunter Ollmann, Chief Technology Officer at Cobalt, unpacks the findings from the State of Pentesting Report 2025, spotlighting both measurable security progress and the rising challenges introduced by generative AI (genAI). While the report shows that organizations are resolving vulnerabilities faster than ever, genAI systems stand out as a growing security blind spot: only 21% of serious genAI vulnerabilities identified during penetration testing are fixed, compared to over 75% for API flaws and 68% for cloud vulnerabilities. Nearly 32% of genAI-related findings were classified as high risk — more than double the average across other systems. And although 98% of organizations are adopting genAI-powered features, only 66% are running regular security assessments on those systems. Segment Resources: https://www.cobalt.io/blog/key-takeaways-state-of-pentesting-report-2025 https://resource.cobalt.io/state-of-pentesting-2025?gl=1*zwbjgz*gclaw*R0NMLjE3MzcwNTU5ODMuQ2owS0NRaUEtYUs4QmhDREFSSXNBTF8tSDltRlB0X2FmSVhnQnBzSjYxOHlRZ1dhcmRMQ0lHalo3eVgxcTh1cHVnWFVwV0todHFPSDFZZ2FBb0hNRUFMd193Y0I.*gcl_au*MTc4MjQwMTAwNC4xNzQ0NjM0MTgz Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-395

OpenAI is making moves to go public. Apple and Anthropic are teaming up for vibe coding. And Google is quietly continuing its dominance with a quiet update to the world's most powerful AI model.Once again, the big names are shaking up the AI space. Don't burn hours a day trying to keep up. Spend your Mondays with Everyday AI and our weekly 'AI News that Matters' segment. You'll be the smartest person in AI at your company.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic and Apple AI PartnershipApple AI Coding with Anthropic's ClaudeOpenAI's Wind Surf AcquisitionAI Search Engines in Apple's SafariOpenAI and FDA Drug Approval TalksGoogle Gemini 2.5 Pro IO EditionAmazon AI Coding Tool KiroOpenAI's Nonprofit Control DecisionTimestamps:00:00 "Everyday AI: Podcast and Newsletter"03:44 Apple Eyes External AI Partnerships07:12 OpenAI's Wind Surf Acquisition Disrupts Coding10:28 Windsurf Model Selection and Future14:24 Apple's AI Search Engine Shift20:45 FDA-OpenAI AI Drug Approval Talks22:50 AI Literacy Challenges27:14 "Gemini 2.5 Pro Unveiled"31:27 Advanced AI Coding Tools Emerging34:50 OpenAI Governance and Structure Shift36:50 OpenAI-Microsoft Partnership Revamp Talks42:40 Tech Giants Shake Up AI LandscapeKeywords:Anthropic, Apple, Vibe coding, Google Gemini, 2.5 pro IO edition, OpenAI, Microsoft partnership, IPO, Artificial General Intelligence, AI coding models, Claude SONNET, Swift Assist, Anthropic's Claude, Wind Surf, $3 billion acquisition, AI IDE, Race car driver analogy, AI search engines, Safari, Perplexity AI, ChatGPT, Search engine market, FDA, Drug approval process, AI-assisted scientific review, Google IO edition, Web dev arena leaderboard, Amazon Web Services, AI-powered code generation, Kiro, Multimodal capabilities, OpenAI nonprofit arm, Public Benefits Corporation, Equity stake, Microsoft partnership renegotiation, $13 billion investment, SoftBank, Oracle, Stargate projectSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner