Generation AI

Ardis Kadiu, Dr. JC Bonilla
  • 5,0 (12)
  • TECHNOLOGIES
  • CHAQUE SEMAINE

Generation AI is the groundbreaking podcast designed exclusively for higher education professionals who are keen to navigate the dynamic world of Artificial Intelligence. In a landscape where AI is rapidly transforming how we teach, learn, and engage, "Generation AI" serves as your essential guide. Each episode delves into the most pressing AI topics, breaking down complex concepts into understandable, actionable insights. Whether you're a marketer, administrator, or tech enthusiast, this show will illuminate how AI is reshaping the academic experience and what it means for the future of education. Join us as we explore the latest news, trends, and developments in AI. From data-driven decision-making to personalized engagement and learning experiences, and the ethical implications of AI in education, "Generation AI" covers it all. With expert commentary, in-depth analysis, and a focus on practical applications, this show is dedicated to empowering higher education professionals to leverage AI for strategic advantage. "Generation AI" isn't just about understanding AI – it's about being part of the AI revolution in education. Tune in, get informed, and be inspired to innovate in your educational space with the power of AI.

  1. From $12 TikToks to $10M Influencers: Oracle Surge, Anthropic Settlement, Google's Veo 3 & Nano Banana Revolution

    -1 J

    From $12 TikToks to $10M Influencers: Oracle Surge, Anthropic Settlement, Google's Veo 3 & Nano Banana Revolution

    In this episode of Generation AI, hosts Ardis Kadiu and Dr. JC Bonilla explore the accelerating AI infrastructure boom following Oracle's massive 36% stock surge after announcing a $300 billion OpenAI deal. They break down Anthropic's landmark $1.5 billion copyright settlement and what it means for AI training data - companies can train on copyrighted material, but they have to buy it first. The conversation shifts to practical tools as they discuss ChatGPT's new MCP support and Replit Agent 3's autonomous coding capabilities that can work independently for 200 minutes. The hosts then examine the rise of AI influencers making millions through synthetic content, powered by Google's game-changing Nano Banana image editor and Veo 3's new vertical video capabilities that make professional social content creation cost just $12 for a 30-second ad. Opening and UVU Campus Incident (00:00:00) Reflection on September 11th anniversary, 24 years laterDiscussion of tragic incident at University of Utah Valley campusHow institutions manage crisis communicationsAnthropic's $1.5B Copyright Settlement (00:06:32) Court ruling on using pirated materials for AI trainingSettlement details: $3,000 per book for 500,000 illegally obtained booksPrecedent set: AI companies can train on copyrighted material if purchased legallyImplications for other pending lawsuits with OpenAI, Meta, and New York TimesOracle's Stock Surge and Infrastructure Boom (00:10:44) Oracle stock jumps 36% after earnings announcement$300 billion commitment from OpenAI for cloud infrastructureOracle positioning as the "shovels" in the AI gold rushHosting compute for OpenAI, XAI, Meta, and GoogleSignal that AI infrastructure spending is accelerating, not slowingChatGPT Adds Full MCP Tool Support (00:14:51) OpenAI enables MCP (Model Context Protocol) in developer modeMCP as "USB for AI agents" - standardized connection protocolExpanded connectivity beyond limited connector listInternal tools can now expose MCP servers for agent communicationReplit Agent 3: Autonomous Coding Revolution (00:16:37) Third generation agent can work independently for 200 minutesReflective loops for automatic testing and bug fixingCreates multi-step automations similar to Zapier workflowsCan build other agents and complex applications autonomouslySimulates human interaction: clicking, form filling, authenticationThe Rise of AI Influencers and Synthetic Content (00:21:27) Virtual personas making up to $10 million annuallyExamples: Luo Magalo (7.7M followers), Lil Miquella (2M followers)Brands partnering with Samsung, Versace for controlled narrativesAgencies producing synthetic influencers at scaleBalance between fiction/adventure and avoiding deceptionGoogle's Nano Banana: Image Editing Revolution (00:26:12) Transform any image through natural language promptsCharacter consistency for beginning, middle, and end framesUpdate dated content (change "2023" shirt to "2025")Top viral prompts: action figures, different decades, TV showsAvailable in Google Gemini and through APIsVeo 3 Video Generation Goes Social-First (00:28:10) 50% price reduction: $0.15 per second for fast generationNew 9x16 vertical format for TikTok, Instagram Reels1080p HD output as standardFull audio integration with voice generation30-second professional ad costs just $12 to producePractical Applications for Higher Ed (00:40:51) Creating personalized content for micro-audiencesUniversity mascots with variations for different demographicsA/B testing at scale for minimal costTransparency and authenticity requirementsBrand ownership and responsibility for synthetic contentTool Recommendations and Alternatives (00:39:12) Midjourney for conceptual images and presentation loopsRunway ML Gen 3 for quick prototypesCling AI 2.1 for lip syncing and motion controlLuma Dream Machine for hyper-realistic animationsLeonardo AI as platform aggregating multiple models including Veo 3 - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    46 min
  2. A16Z's Top 100 AI Apps (5th edition), Google's 4-product surge, vibe coding goes mainstream

    9 SEPT.

    A16Z's Top 100 AI Apps (5th edition), Google's 4-product surge, vibe coding goes mainstream

    In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down A16Z's fifth annual Top 100 Gen AI Consumer Applications report, revealing how the AI app ecosystem has shifted from experimentation to consolidation. They discuss Google's aggressive entry with four separate products in the rankings, including Gemini's rapid rise to second place behind ChatGPT. The conversation explores how consumer AI has moved beyond novelty to become essential productivity tools, with specialized apps dominating specific use cases like image generation (Midjourney), voice (11 Labs), and the emerging category of agentic coding platforms like Lovable and Replit. The hosts also examine the global dynamics of AI adoption, including the significant presence of Chinese-developed apps and what these consumer trends mean for higher education professionals and their students. Opening and Mediterranean Reflections (00:00:00) Ardis returns from his brother's wedding in TuscanyDiscussion about taking time away from technology and workThe value of slowing down and gaining new perspectives on AI trendsThe A16Z Top 100 Report Overview (00:08:49) Fifth edition of Andreessen Horowitz's annual consumer AI apps reportBased on monthly active users on mobile and web trafficDifference between unique web visitors vs active users explainedFocus on consumer adoption patterns rather than enterprise AIMarket Stabilization and All-Stars (00:11:54) Only 11 new names on web list vs 17 last yearMarket maturity signals with winners consolidating positionsChatGPT reaches 700-800 million weekly active users14 brands consistently dominating across categoriesGoogle's Aggressive Multi-Product Strategy (00:17:00) Gemini takes second place with 12% of ChatGPT's web visitsIntroduction of Nano Banana image editing modelFour Google products separately ranked in top 100Strategic unbundling approach to compete across categoriesThe Rise of Agentic Coding (00:25:47) Evolution from "vibe coding" to "agentic coding"Lovable reaches #22, Replit maintains strong positionIntegration with Supabase for backend developmentReal work being done on these platforms, not just experimentationRegional Dynamics and Chinese Apps (00:29:19) 22 out of 50 mobile apps are Chinese-developedDiscussion of China vs rest of world classificationChinese apps being exported globallyAI as a global technology play across regionsYear-Over-Year Changes (00:32:12) Deep Seek's rise and fall (down 40% from peak)Shift from novelty (2024) to utility (2025)Apple's crackdown on ChatGPT copycatsMobile list showing more innovation and newcomersVideo Generation Maturity (00:36:15) Google's VO3 dominates over SoraConsolidation in video generation spaceWorld models like Genie 3 emergingVideo becoming integrated into general assistantsImplications for Higher Education (00:38:01) Students already using multiple consumer AI toolsPattern of utility across companions, creativity, productivityNeed for educators to understand student tool usageRecommendation to explore top apps to understand student behaviorClosing Thoughts (00:41:20) Consumer AI adoption as mirror of society's AI integrationFocus shifting from smartest models to most useful appsEncouragement to test unfamiliar apps from the listPreview of fall conference season and upcoming AI announcements - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    43 min
  3. NotebookLM in Action: From PDF to Podcast in one click, plus mind maps, FAQs & video summaries

    2 SEPT.

    NotebookLM in Action: From PDF to Podcast in one click, plus mind maps, FAQs & video summaries

    NotebookLM transforms how we work with documents by turning any PDF, YouTube video, or audio file into multiple AI-powered formats with zero prompting required. In this hands-on demo, see how Google's source-grounded AI instantly creates professional 6-minute video summaries, interactive podcasts where you can interrupt and ask questions, visual mind maps for exploring concepts, comprehensive study guides with quizzes, and chronological timelines from your uploaded content. Unlike ChatGPT, NotebookLM never hallucinates because it only references your sources, making it perfect for analyzing research papers, creating course materials, conducting competitive analysis, or synthesizing hours of content into minutes. Real examples show 75% time savings in document analysis, Walter Isaacson using it for biography research, and Element451 creating complete employee onboarding from company documents - proving NotebookLM is the breakthrough tool for anyone drowning in information who needs actionable insights. Back to School Season and Why NotebookLM Matters (00:00:06) Discussion about the start of the school year and its significanceThe class of 2026 as the first to graduate having used ChatGPT throughout collegeIntroduction to NotebookLM as Google's AI-powered research and thinking partnerSetting the stage for practical demonstrations of game-changing featuresWhat Makes NotebookLM Revolutionary (00:05:07) Source-driven design that eliminates AI hallucinationsZero web knowledge - complete focus on your uploaded documentsBuilt on Gemini models but grounded strictly on your sourcesDirect citations and accuracy that ChatGPT can't match for document analysisNotebookLM Interface and Capabilities Overview (00:07:42) Sources panel supporting 50+ documents in pro versionAutomatic summary generation upon any document uploadThe Studio feature that creates multiple asset types instantlySupport for PDFs, audio files, YouTube videos, websites, Google DocsPowerful Real-World Applications at Element451 (00:15:47) Complete employee onboarding packages from company documentsLeadership assessment interpretation from multiple Hogan personality testsCreating interconnected insights from disparate sourcesGenerating training materials that would take weeks in minutesLive Demo: Instant Video Creation from PDF (00:19:30) Loading "Driving Toward a Degree 2025" report demonstration6-minute professional video generated without any promptingMultimedia output with synchronized audio and visual elementsFine-tuning options for specific chapters or topicsRevolutionary Interactive Podcast Feature (00:25:33) AI-generated conversational podcasts from any documentLive interaction where users can interrupt and ask questionsReal-time dialogue with AI hosts about document contentPerfect for learning complex materials through conversationMind Map Navigation for Complex Documents (00:30:29) Visual hierarchy of all document concepts and relationshipsInteractive exploration revealing hidden connectionsDeep-diving capability with automatic source citationsPattern discovery that human readers might missInstant Study Guide and Assessment Generation (00:35:23) Complete study materials created in secondsQuiz generation with answers for immediate useComprehensive glossaries for specialized terminologyFaculty saving entire summers of prep workAdvanced Asset Creation: Timelines and FAQs (00:42:36) Chronological timeline extraction from multiple documentsFAQ generation that took agencies weeks now done instantlyBriefing documents for executive summariesLLM-ready content for chatbot trainingCollaboration and Sharing Capabilities (00:44:38) Share entire notebooks with classes or teamsCreate departmental resources accessible to allPrivacy-protected individual workspacesPerfect for distributed learning environmentsGame-Changing Professional Use Cases (00:46:45) Walter Isaacson analyzing Marie Curie's journals for biographyCreative professionals discovering unconscious patterns in their workFantasy writers maintaining consistency across complex worldsChief Strategy Officer achieving 75% reduction in analysis timeNotebookLM for Learning and Training (00:51:21) Converting 3-4 hours of Kubernetes training into digestible segmentsFinding specific moments in hours of YouTube contentJob interview prep using company websites and descriptionsCompetitive intelligence from competitor materialsWhy NotebookLM Changes Everything (00:56:29) The shift from searching to synthesizing informationElement451's complete adoption for internal processesHow source-focused AI eliminates misinformationThe future of personalized, interactive learning experiences - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

    1 h 7 min
  4. 95% AI pilots fail?, Process is the real AI killer, Buying wins 2x over building, Enter the forward deployed engineer

    26 AOÛT

    95% AI pilots fail?, Process is the real AI killer, Buying wins 2x over building, Enter the forward deployed engineer

    In this episode of Generation AI, hosts Ardis Kadiu and JC Bonilla examine the widely misinterpreted MIT report claiming "95% of GenAI pilots fail," exploring why this headline misses the real story. While individual employees are finding significant value with AI tools (90% use personal AI regularly), organizations struggle to capture this value at the enterprise level—not because the technology doesn't work, but due to change management, leadership alignment, and implementation challenges. Through Element451's own QBR automation struggles, the hosts illustrate how the gap between impressive demos and measurable business impact stems from organizational readiness, not technological limitations. They discuss why vendor solutions succeed at twice the rate of internal builds (67% vs 33%), introduce Forward Deployed Engineers as the bridge between technology and business context, and explain why back office automation delivers higher ROI than marketing despite budget allocation. This conversation provides practical guidance for higher education leaders on moving from shadow AI productivity gains to true enterprise transformation, emphasizing that the challenge isn't whether AI works—it's how organizations need to evolve to capture its value. AI Deployment Reality Check: The 95% Failure Rate (00:01:35) MIT report reveals 95% of GenAI pilots fail to deliver P&L impactOnly 5% achieve rapid revenue growthDiscussion of how this mirrors Element451's internal experiencesThe difference between pilots, POCs, and actual productsThe Shadow AI Phenomenon (00:02:43) 90% of employees using personal AI tools vs enterprise subscriptionsBottom-up adoption through consumer tools like ChatGPTWhy organizations can't measure or control individual productivity gainsThe challenge of enterprise AI adoption vs consumer AIBuilding vs Buying: The Success Rate Gap (00:03:34) Internal build success rate: 33%Vendor purchase success rate: 67%Why vertical solutions outperform generic toolsThe importance of domain expertise in AI deploymentElement's QBR Case Study: When AI Projects Struggle (00:14:18) Quarterly Business Review automation challengesThe gap between data analytics and expert interpretationWhy AI needs embedded best practices and rubricsThe difference between finding patterns and implementing expertiseMarketing vs Back Office: Where Real ROI Lives (00:24:10) Over 50% of AI budgets go to sales and marketingWhy back office automation delivers higher returnsThe binary nature of workflow automation successExamples: fraud detection, application review, transcript analysisThe Forward Deployed Engineer Model (00:35:56) Origin from Palantir's government contractsHow OpenAI uses FDEs for enterprise clientsThe hybrid role: technical expertise + business understandingWhy traditional consultants can't fill this gapThe Unicorn Problem: Finding AI Operations Specialists (00:41:24) Scarcity of people who understand both workflows and AI technologyWhy agencies need to evolve their business modelsThe opportunity for innovative consultanciesElement's challenge in scaling deployment expertiseKey Recommendations for Institution Leaders (00:45:18) Move from bottom-up to top-down AI strategyProperly resource AI initiatives (not just IT side projects)Buy rather than build for 2x success rateLook for vertical solutions with deep domain knowledgeInclude internal champions in deployment projectsFinal Thoughts: Moving Beyond Productivity to Transformation (00:49:31) The shift from individual productivity to enterprise ROIWhy POC success doesn't equal business impactThe importance of AI workflow coverageAccepting that most organizations aren't behind—everyone is struggling - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.

    48 min
  5. State of AI Worldwide — consumer vs enterprise, pilots vs scale, culture and policy set the pace

    19 AOÛT

    State of AI Worldwide — consumer vs enterprise, pilots vs scale, culture and policy set the pace

    JC Bonilla and Ardis Kadiu step outside the US "AI bubble" to examine how artificial intelligence adoption varies dramatically across the globe. With 72% global adoption but Latin America trailing at 40%, the hosts reveal a stark digital divide shaped by infrastructure, culture, and economic realities. They explore why agentic AI remains in its "first inning" globally despite executive enthusiasm, how workplace dynamics differ between regions where AI replaces $50K vs $20K salaries, and why countries like China and Singapore are embedding AI into K-12 education while others struggle with basic computer access. This episode provides essential context for understanding AI's uneven global impact and why the US perspective doesn't tell the whole story. Cold open: usage gaps and access (00:00:00) UK undergrads using gen-AI hit ~92% year over year.Latin America’s school device and internet gaps slow use.Set up: adoption is uneven and context matters.Bubble vs reality check (00:02:35) Social feeds make AI feel “everywhere,” daily life says otherwise.Travel lens: listen for real-world use outside the tech echo.What we’ll cover and why (00:04:49) Four lenses: tool adoption, agents, workplace, education.Aim: move from hype to signals you can act on.Fresh adoption stats and the ROI lens (00:06:07) Global gen-AI usage is high, but real wins come from ROI-tied use.Europe shows ROI-driven enterprise rollouts; region-by-region gaps appear.Consumer vs enterprise, and the labor behind AI (00:08:50) Personal use ≠ business use; keep them separate.Reminder: global labeling and review work trained early systems.Early winners and the pipes (00:11:56) Marketing and coding see fast gains.Bandwidth and devices still gate progress in many countries.Agents: hype, orchestration, and failure modes (00:15:58) Leaders say agents boost productivity, but integration stalls many efforts.Orchestration is critical; few firms have agents fully scaled.Value math and the “first inning” (00:19:03) Wage levels change the payback for automation across regions.Most teams are still testing; scale is rare.Do users care what an “agent” is? (00:21:14) Consumers want outcomes, not labels.Paid features and price sensitivity vary by country.ChatGPT traffic by country shows surprising leaders beyond the US.Workplace reality: trust vs maturity (00:26:07) Managers already ask chatbots before bosses in some markets.Spend plans rise while true maturity stays low.Tool availability is shaped by regulation and data rules.Multinationals as a vector; the US workforce plan (00:30:04) Global firms spread practices across offices.US agencies outline skills, pilots, and faster program updates with AI.Policy map: who has a plan (00:34:26) Fully formed playbooks: US, EU, Singapore, UAE, South Korea, China.Building momentum: UK, Australia, India, Japan, Canada.Why it matters: rules decide who gets which tools, and when.Education: usage, divide, and Asia’s lead moves (00:36:59) Student use is high, but access gaps are real in parts of LATAM.Asia embeds AI into K-12 and teacher training at scale.Teaching shift: less “teaching,” more coaching (00:41:25) Study modes and AI tutors push critical thinking support.Open question: who will rewrite pedagogy end-to-end?Wrap: four takeaways for leaders (00:42:53) Adoption is high; scale is hard.Agents need orchestration and clean integration.Policy and pipes set the pace.For higher ed: fund skills, pick focused agent use cases, track ROI, and align with policy early. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    46 min
  6. GPT-5 review: what is it good for, reasoning on by default, hallucinations down, prompt rules change

    13 AOÛT

    GPT-5 review: what is it good for, reasoning on by default, hallucinations down, prompt rules change

    GPT5 Launch and Model Architecture (00:00:00) OpenAI announces GPT5 after multiple delaysFour model variants: GPT5, GPT5 Pro, GPT5 Mini, and GPT5 NanoIntroduction of intelligent router system that automatically selects modelsLaunch issues with router sending queries to wrong models initiallyThe Router Revolution: No More Model Selection (00:05:06) How the router uses previous ChatGPT usage signals to train selectionProduct decision to remove model dropdown confusion for usersSmall model in front makes decisions based on task complexityUsers can influence selection by asking model to "think hard"Dramatic Improvements in Accuracy (00:12:43) 45% hallucination rate vs GPT4's 80% rateBetter data quality and reinforcement learning improvementsFocus on agentic behavior and context gatheringTool calling accuracy improvements for real-world applicationsThree Key Enhancement Areas (00:24:34) Coding: Direct competition with Claude and Anthropic's modelsWriting: Shorter, more concise, better quality outputsMedical/Healthcare: Improved analysis of health documents and test resultsEach area received specialized reinforcement learningDeveloper Implementation Challenges (00:18:13) Markdown disabled by default requiring explicit instructionsShorter instructions work better than detailed promptsNeed to rethink system prompts and instruction patternsDifferent behavior requires rewriting existing implementationsPricing and Competitive Positioning (00:29:13) GPT5 offers best price-to-performance ratio in market1/12 the cost of competing models like Claude Opus 4.1Free tier users get access to GPT5 with routingPro tier ($200/month) provides research-grade intelligenceReal-World Implementation at element451 (00:20:11) Immediate deployment for summarization and classification tasksEvaluation ongoing for higher-stakes applicationsBenefits of pluggable AI architecture for new modelsDifferent models for different latency requirementsMarket Impact and User Adoption (00:40:03) Free user reasoning model usage jumped from 1% to 7% in daysPlus users increased from 7% to 24% reasoning model usageTraffic doubled overnight causing serving challengesOpenAI deprecating all previous models to focus resourcesThe Future of AI Assistants (00:43:22) Evolution from assistant to "chief of staff" capabilityModel knows when to act and how hard to thinkImplications for higher education automationWhy institutions should adopt GPT5 immediately- - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://x.com/ardis Dr. JC Bonilla https://www.linkedin.com/in/jcbonilla/ https://x.com/jbonillx About The Enrollify Podcast Network: Generation AI is a part of the . If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed.  Learn more at element451.com. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    47 min
  7. ChatGPT Study Mode & Google's $1B Education Play: How AI Just Became Your Personal Tutor

    12 AOÛT

    ChatGPT Study Mode & Google's $1B Education Play: How AI Just Became Your Personal Tutor

    We break down one of the busiest AI news days of the year and focus on what it means for colleges. We cover Google’s Genie 3 “world model,” OpenAI’s new open-weight reasoning models (GPT-OSS 120B/20B), and Anthropic’s Opus 4.1 gains for coding agents. Then we shift to the big story for campuses: ChatGPT “Study Mode” and Gemini “Guided Learning,” plus Google’s free Gemini Pro for students and a $1B education push. If you run marketing, admissions, or student success, this episode helps you plan pilots for fall, cut model costs, and rethink onboarding and tutoring with AI. Cold open + timestamp and setup (00:00:00) JC’s line: “If ChatGPT talks, Genie walks.”We set the date: recorded Wed, Aug 6, referencing news from Aug 5.Quick heads-up that GPT-5 may land this week.What dropped: three models, three angles (00:02:00) Anthropic: Claude Opus 4.1 with coding gains.OpenAI: open-weight reasoning models (GPT-OSS 120B/20B).Google: Genie 3 “world model.”Main focus today will be study features for learning.OpenAI’s open weights: why now and why it helps (00:06:00) Pressure from R1-style models and a growing OSS wave.Open weights expand the dev base and enable on-prem or offline builds.Cost note: we discuss ~91% cheaper runs via alt providers like Cerebras/Groq in some workflows.Takeaway for schools and vendors: cheaper agents and less lock-in.Anthropic’s Opus 4.1: coding agents get sharper (00:10:40) Better long-context reasoning and tool use.Stronger at “find the right file, make the right change, don’t break other parts.”Expect Cursor/Vibe/Copilot-style tools to feel snappier.Good fit for campus IT and rapid feature fixes.Genie 3 explained in plain terms (00:16:14) What a “world model” is: generates an interactive environment with physics and memory, not just frames.Why it’s different from diffusion/video models: it keeps state and acts over time.Why it matters: training agents, robotics, labs, and rich simulations.Use cases for learning: labs, history, and more (00:25:27) Think virtual physics labs, time-period scenes, or fieldwork-style tasks.Pricing and access still unclear at record time.Gemini “Guided Learning” lands (00:27:52) Moves past one-shot Q&A to a step-by-step teach mode.Based on a learning-tuned model family (LearnLM) now inside Gemini.Students get free Gemini Pro for 12 months in select countries; NotebookLM shout-out.Why the free student play matters (00:29:28) Classic “win them early” motion; boosts daily use and skills.Helpful for course work, capstones, and research support.ChatGPT “Study Mode”: how it works (00:33:52) Interactive prompts, hints, and self-reflection.Scaffolded answers to cut overwhelm on hard topics.Personalized support, knowledge checks, and progress cues.Quick toggle in and out of study mode mid chat.Simple example that sells it (00:40:05) Ask “What is life?”Regular mode gives a direct answer; Study Mode first asks what angle you mean (bio, philosophy, personal), then guides you forward.Slows you down in a good way to build real understanding.What’s next for study features (00:40:59) Clearer visuals for complex ideas.Goal setting and progress across chats.Deeper personalization by skill level.Google’s $1B education push (00:42:26) Funding over three years for AI literacy, research, and cloud.“AI for Education” accelerator with free training and career certs.Schools should apply and point students to the free Pro offer.Big picture for campuses (00:45:52) Vendors are playing the long game on learning use cases.Leaders should plan training and policy now, not later.Close and next watch-items (00:47:25) Net: faster models are nice, useful models change outcomes.We’ll revisit once GPT-5 news lands; send us topics to cover. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    50 min
  8. Prompt engineering is dead, long live context engineering

    5 AOÛT

    Prompt engineering is dead, long live context engineering

    In this technical deep dive, Generation AI explores the evolution from prompt engineering to context engineering - a critical shift in how we build intelligent AI systems. Hosts Ardis Kadiu and Petar Djordjevic from Element451 break down why static prompts are no longer enough and how dynamic context management is the key to creating truly smart agents. They explain the technical architecture behind retrieval augmented generation (RAG), discuss the challenges of building multi-agent systems that coordinate effectively, and reveal how Element451's new bulk jobs feature represents the cutting edge of context engineering in higher education. The episode concludes with an analysis of Mark Zuckerberg's vision for "personal superintelligence" - always-on AI assistants that remember everything about you. This matters because institutions need to understand that the success of AI agents depends entirely on having rich, well-structured data and proper context management - not just smart models. Introduction and the Shift from Prompt to Context Engineering (00:00:00) Welcome back Petar Djordjevic as co-host for the third timeThe transformation from static prompt libraries to dynamic context systemsWhy GPT-4's evolution to reasoning models changed everythingHow agents use tools to gather real-time information instead of relying on frozen knowledgeDefining Context Engineering vs Prompt Engineering (00:04:11) Context engineering as managing dynamic information for AI tasksThe evolution from one-shot prompt problems to complex agent workflowsHow automation requirements drove the need for context engineeringWhy "it's their first day on the job every day" for AI modelsDeep Dive into RAG (Retrieval Augmented Generation) (00:17:17) The complete RAG pipeline: from user query to accurate responseBreaking down queries into multiple intents for better resultsVector databases and metadata attachment for information storageThe importance of combining keyword search with semantic searchAdvanced RAG Techniques and Challenges (00:21:08) Data preparation: parsing PDFs and extracting meaningful chunksWhy semantic search alone isn't enough - the CS101 problemRe-ranking and post-processing to get the most relevant resultsHow to handle citations and build user trust in AI responsesBuilding Complex Agent Systems at Element451 (00:33:08) Element451's new Bulk Jobs feature as a case studyThe research phase: gathering student data, interaction history, and contextWhy data-rich platforms are essential for successful agentsMoving from segment-based personalization to true "segment of one"Context Pruning and Tool Selection (00:41:31) Why you can't just throw all data into the context windowPerformance degradation with large contexts - the needle in haystack problemSelecting the right tools for each task (SMS vs WhatsApp example)How to compress and adapt content for optimal performanceMulti-Agent Coordination and State Management (00:46:48) The challenge of multiple agents working on the same studentContext writing: how agents remember what they did and whyPreventing redundant actions across different departmentsBuilding systems that coordinate like experienced teamsCommon Mistakes in Context Engineering (00:50:17) The danger of being "lazy about context" and assuming AI is smart enoughWhy domain expertise is crucial for building effective agentsThe importance of vertical-specific agents (Cursor, Harvey, Sierra examples)How Element451 leverages its CRM data for education-specific agentsThe Future: Personal Superintelligence (00:53:18) Mark Zuckerberg's vision of always-on, memory-rich personal AIMeta's glasses as the computing platform of the futureAndrej Karpathy's small model with massive context approachChallenges: ambient monitoring, recall/summary, lifelong memory files - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardis Dr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillx About The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too!  Enrollify is made possible by Element451 — The AI Workforce Platform for Higher Ed. Learn more at element451.com.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    1 h 1 min
Tout afficher (102)

Bande-annonce

5
sur 5
12 notes

À propos

Generation AI is the groundbreaking podcast designed exclusively for higher education professionals who are keen to navigate the dynamic world of Artificial Intelligence. In a landscape where AI is rapidly transforming how we teach, learn, and engage, "Generation AI" serves as your essential guide. Each episode delves into the most pressing AI topics, breaking down complex concepts into understandable, actionable insights. Whether you're a marketer, administrator, or tech enthusiast, this show will illuminate how AI is reshaping the academic experience and what it means for the future of education. Join us as we explore the latest news, trends, and developments in AI. From data-driven decision-making to personalized engagement and learning experiences, and the ethical implications of AI in education, "Generation AI" covers it all. With expert commentary, in-depth analysis, and a focus on practical applications, this show is dedicated to empowering higher education professionals to leverage AI for strategic advantage. "Generation AI" isn't just about understanding AI – it's about being part of the AI revolution in education. Tune in, get informed, and be inspired to innovate in your educational space with the power of AI.

Informations

  • Création
    Ardis Kadiu, Dr. JC Bonilla
  • Années d’activité
    2023 - 2025
  • Épisodes
    102
  • Classification
    Tous publics
  • Copyright
    © 2024 Generative AI - Enrollify Network
  • Site web de l’émission
    Generation AI

Vous aimeriez peut‑être aussi