AI Reasoning: How Machines Think and Learn

Generation AI

Player FM - Internet Radio Done Right

הוסף לפני two שנים

תוכן מסופק על ידי Enrollify, Ardis Kadiu, and Dr. JC Bonilla. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Enrollify, Ardis Kadiu, and Dr. JC Bonilla או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

The Wednesday Season 2 Official Woecast

1
Here We Woe Again: Jenna Ortega, Creators Al Gough & Miles Millar 31:46

לפני 4 ימים31:46

הפעל מאוחר יותר

רשימות

לייק

אהבתי

31:46

BE WARNED! This podcast will contain spoilers for Wednesday Season 2, episodes 1-4. Join host Caitlin Reilly each week as she takes you deep into the twisted world of Wednesday with an amazing group of guests! And producer Thing will be helping out to make sure everything goes to plan - well, mostly, anyway... In this episode: Jenna Ortega peels back the layers on the new tension between Wednesday and Enid. And that terrifying vision! Plus… Series showrunners Al Gough and Miles Millar reveal why they made Morticia Addams such a central character in this season, and what it means for Wednesday. Whether you’re a normie or an outcast, the Wednesday Season 2 Official Woecast will be the place for all things Nevermore! For more juicy details about Wednesday Season 2, head over to Tudum.com to get all of the latest updates. 1:15 Preparing for Season 2 3:25 Evolving Wednesday’s look for Season 2 4:12 Addams clan expands for Season 2 6:12 Joanna Lumley joining the cast 7:38 Wednesday and Enid's Friendship 9:00 Wednesday’s Vision 10:50 Jenna is a Producer 13:45 Al and Miles introduction 14:03 Wednesday takes down a Serial Killer 15:05 Intergenerational Relationships & the Addams Women 17:48 Catherine Zeta-Jones as Morticia in Season 2 20:48 Wednesday and Enid’s relationship 24:04 Steve Buscemi joining the cast 26:19 Wednesday’s popular! 27:45 Boy with the Clockwork Heart stop motion sequence…

לפני שנה 40:04

MP3•בית הפרקים

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu break down the complex world of AI reasoning in anticipation of the OpenAI's o1 (aka strawberry) model. They explain how AI systems make decisions, from neural networks to symbolic logic, and discuss the growing importance of explainable AI. The conversation covers key trends in AI reasoning, including neurosymbiolic systems and human-AI collaboration, with practical examples of how these concepts are being applied to build AI software in support of student recruitment and engagement.

Introduction to AI Reasoning (00:00:06)

JC Bonilla and Ardis Kadiu discuss the importance of AI reasoning
Overview of knowledge representation, reasoning algorithms, and learning algorithms in AI

Types of Reasoning in AI (00:07:03)

Explanation of deductive, inductive, abductive, and common sense reasoning
How these reasoning types are applied in AI systems

Explainable AI (XAI) (00:15:54)

Definition and importance of explainable AI
Example of XAI in loan application processes
Discussion on transparency, fairness, and model improvement

Neurosymbolic AI (00:24:26)

Integration of neural networks and symbolic reasoning
Example of neurosymbolic reasoning in medical diagnosis
Benefits of combining deep learning with domain-specific expertise

Human-AI Collaboration (00:29:22)

Concept of "human in the loop" in AI systems
Applications in various industries including higher education
Balancing AI autonomy with human input and oversight

AI Reasoning in Higher Education (00:30:29)

Ardis Kadiu explains Element451's approach to AI reasoning
Discussion on building AI playbooks for student recruitment and engagement
Challenges in encoding expert knowledge into AI systems

LLMs and Reasoning Capabilities (00:32:36)

Limitations of current Large Language Models (LLMs) in true reasoning
Explanation of how LLMs currently predict based on patterns rather than reason
The need for step-by-step reasoning data to improve LLM capabilities

OpenAI's O1 (Strawberry) Model (00:35:58)

Introduction to OpenAI's anticipated reasoning breakthrough model, O1 (aka Strawberry)
Explanation of the "Strawberry problem" in AI reasoning
Discussion on the potential impact of true reasoning capabilities in AI systems

The Future of AI Reasoning in Education (00:37:22)

Implications of improved AI reasoning for personalized student engagement
Potential for AI to make more informed decisions in educational contexts
The importance of developing AI systems that can truly reason, not just predict

Conclusion and Implications (00:37:59)

Recap of key AI reasoning concepts and their importance in higher education
Discussion on the ethical considerations and regulatory aspects of AI in education
Final thoughts on the future of AI reasoning and its potential to transform higher education

- - - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis

Dr. JC Bonilla
https://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.

95 פרקים

#Tech #Enrollify #Ardis Kadiu #Dr. JC Bonilla #Artificial Intelligence #Higher Ed #Higher Ed Ai #Higher Ed Tech #Technology #Business #Podcasting Education

AI Reasoning: How Machines Think and Learn

Generation AI

published לפני שנה

שתפו

MP3•בית הפרקים

Introduction to AI Reasoning (00:00:06)

JC Bonilla and Ardis Kadiu discuss the importance of AI reasoning
Overview of knowledge representation, reasoning algorithms, and learning algorithms in AI

Types of Reasoning in AI (00:07:03)

Explanation of deductive, inductive, abductive, and common sense reasoning
How these reasoning types are applied in AI systems

Explainable AI (XAI) (00:15:54)

Definition and importance of explainable AI
Example of XAI in loan application processes
Discussion on transparency, fairness, and model improvement

Neurosymbolic AI (00:24:26)

Integration of neural networks and symbolic reasoning
Example of neurosymbolic reasoning in medical diagnosis
Benefits of combining deep learning with domain-specific expertise

Human-AI Collaboration (00:29:22)

Concept of "human in the loop" in AI systems
Applications in various industries including higher education
Balancing AI autonomy with human input and oversight

AI Reasoning in Higher Education (00:30:29)

Ardis Kadiu explains Element451's approach to AI reasoning
Discussion on building AI playbooks for student recruitment and engagement
Challenges in encoding expert knowledge into AI systems

LLMs and Reasoning Capabilities (00:32:36)

Limitations of current Large Language Models (LLMs) in true reasoning
Explanation of how LLMs currently predict based on patterns rather than reason
The need for step-by-step reasoning data to improve LLM capabilities

OpenAI's O1 (Strawberry) Model (00:35:58)

Introduction to OpenAI's anticipated reasoning breakthrough model, O1 (aka Strawberry)
Explanation of the "Strawberry problem" in AI reasoning
Discussion on the potential impact of true reasoning capabilities in AI systems

The Future of AI Reasoning in Education (00:37:22)

Implications of improved AI reasoning for personalized student engagement
Potential for AI to make more informed decisions in educational contexts
The importance of developing AI systems that can truly reason, not just predict

Conclusion and Implications (00:37:59)

Recap of key AI reasoning concepts and their importance in higher education
Discussion on the ethical considerations and regulatory aspects of AI in education
Final thoughts on the future of AI reasoning and its potential to transform higher education

- - - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis

Dr. JC Bonilla
https://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.

95 פרקים

#Tech #Enrollify #Ardis Kadiu #Dr. JC Bonilla #Artificial Intelligence #Higher Ed #Higher Ed Ai #Higher Ed Tech #Technology #Business #Podcasting Education

כל הפרקים

1
Prompt engineering is dead, long live context engineering 1:01:29

לפני 6 ימים1:01:29

1:01:29

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 time The transformation from static prompt libraries to dynamic context systems Why GPT-4's evolution to reasoning models changed everything How agents use tools to gather real-time information instead of relying on frozen knowledge Defining Context Engineering vs Prompt Engineering (00:04:11) Context engineering as managing dynamic information for AI tasks The evolution from one-shot prompt problems to complex agent workflows How automation requirements drove the need for context engineering Why "it's their first day on the job every day" for AI models Deep Dive into RAG (Retrieval Augmented Generation) (00:17:17) The complete RAG pipeline: from user query to accurate response Breaking down queries into multiple intents for better results Vector databases and metadata attachment for information storage The importance of combining keyword search with semantic search Advanced RAG Techniques and Challenges (00:21:08) Data preparation: parsing PDFs and extracting meaningful chunks Why semantic search alone isn't enough - the CS101 problem Re-ranking and post-processing to get the most relevant results How to handle citations and build user trust in AI responses Building Complex Agent Systems at Element451 (00:33:08) Element451's new Bulk Jobs feature as a case study The research phase: gathering student data, interaction history, and context Why data-rich platforms are essential for successful agents Moving 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 window Performance degradation with large contexts - the needle in haystack problem Selecting the right tools for each task (SMS vs WhatsApp example) How to compress and adapt content for optimal performance Multi-Agent Coordination and State Management (00:46:48) The challenge of multiple agents working on the same student Context writing: how agents remember what they did and why Preventing redundant actions across different departments Building systems that coordinate like experienced teams Common Mistakes in Context Engineering (00:50:17) The danger of being "lazy about context" and assuming AI is smart enough Why domain expertise is crucial for building effective agents The importance of vertical-specific agents (Cursor, Harvey, Sierra examples) How Element451 leverages its CRM data for education-specific agents The Future: Personal Superintelligence (00:53:18) Mark Zuckerberg's vision of always-on, memory-rich personal AI Meta's glasses as the computing platform of the future Andrej Karpathy's small model with massive context approach Challenges: ambient monitoring, recall/summary, lifelong memory files - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
America's AI Action Plan, AI wins gold at Math Olympiad, GPT-5 coming soon 43:15

לפני 13 ימים43:15

43:15

Generation AI explores two major AI developments reshaping our future. First, hosts Ardis Kadiu and JC Bonilla break down how OpenAI and Google DeepMind models achieved gold medal performance at the International Mathematical Olympiad - solving problems that require creativity and multi-hour reasoning that experts thought was years away. This marks a critical step toward AGI as AI demonstrates true mathematical reasoning beyond pattern recognition. Then they analyze America's new AI Action Plan - a 25-page roadmap positioning AI as a national priority with three core pillars: accelerating innovation through deregulation, building infrastructure, and establishing governance. For higher education, this means $10-12 billion in funding opportunities, new workforce training programs, and a shift toward AI literacy across all disciplines. Universities that move fast to create bootcamps and partner with industry will capture this once-in-a-generation opportunity. AI Achieves Gold Medal at International Mathematical Olympiad (00:00:00) OpenAI and Google DeepMind models solve 5 of 6 problems at IMO Represents multi-hour reasoning and creative problem-solving capability Uses general-purpose reinforcement learning without external tools Signals major progress toward AGI - what experts thought was years away The Math Behind the Breakthrough (00:04:22) Mathematical Olympiad requires reasoning, not memorization Participants are the most gifted mathematics students globally AI learned through trial-and-error reinforcement learning No calculators or Python - pure mathematical reasoning verified by IMO medalists GPT-5 on the Horizon (00:11:23) Combines best of GPT-4 and O3 reasoning capabilities Automatically decides how much "thinking" to apply to queries Sam Altman signals release may be imminent Early testers report significant performance improvements America's AI Action Plan Overview (00:16:08) 25-page document positioning AI as national security priority Three core pillars: innovation, infrastructure, governance Focus on maintaining dominance over China Emphasis on private sector speed and deregulation Pillar 1: Accelerating AI Innovation (00:19:20) Removes barriers for data center construction Signals copyright won't block model training $200M defense contracts to OpenAI, Anthropic, xAI Promotes open-source AI development Addresses "woke AI" concerns Higher Education Opportunities (00:25:27) $10-12 billion in NSF funding for AI training programs Federal tax incentives for AI literacy programs Focus on bootcamps over traditional degrees Universities can partner on compute infrastructure Workforce Research Hubs (00:28:50) Studies AI's labor market effects Investment in upskilling current workforce Partnerships between universities and industry Early career exposure and pre-apprenticeships Universities as Data Partners (00:31:54) Frontier labs have consumed available internet data Universities hold valuable research datasets Opportunity to participate in model training Shift from teaching to coaching role Military Colleges as AI Hubs (00:35:26) Senior military colleges positioned as AI research centers Direct curriculum integration mandated Model for other universities to follow Focus on AI applications in defense Implications for Liberal Arts Schools (00:38:46) Opportunity to own AI literacy initiatives Reframe AI through human context Partner with technical institutions Focus on ethics and societal impact Key Takeaways and Next Steps (00:40:47) Universities must move fast to capture funding Speed to value critical for success Ecosystem approach needed for dominance Major shifts in education delivery coming - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
The Great Content Collapse: How AI Agents Are Killing Clicks and Rewriting Marketing 56:38

לפני 20 ימים56:38

56:38

In this critical episode of Generation AI, hosts Ardis Kadiu and JC Bonilla examine how AI agents and new consumer behaviors are creating a "great content collapse" that threatens traditional digital marketing. They discuss the launch of Grok 4's multi-agent reasoning system and ChatGPT Agent's integration of deep research with browser automation. The conversation reveals shocking statistics: 70% of Google searches now end without clicks, ChatGPT has a 1500:1 page scraping to traffic ratio, and 61% of Americans use AI as their primary information source. The hosts provide concrete strategies for higher education marketers to adapt, including optimizing for AI citations instead of clicks, implementing comprehensive schema markup, and creating question-based content architecture. This episode is essential listening for anyone responsible for digital marketing or web presence in higher education, as it outlines both the immediate threats and the massive first-mover advantages available to institutions that adapt quickly. Breaking AI News: Grok 4 and ChatGPT Agent (00:00:00) Introduction to Grok 4's multi-agent reasoning system using 200,000 GPUs Grok 4 Heavy employs teams of specialized agents working in parallel ChatGPT Agent combines Deep Research, Operator browser automation, and tool usage Discussion of controversial AI companions Annie and Rudy launched with Grok How these advances accelerate the shift away from traditional web browsing The Great Content Collapse: Shocking Statistics (00:17:04) 61% of American adults have used AI tools in the last 6 months ChatGPT approaching 1 billion weekly active users 77% of Americans now use ChatGPT as a search engine 65-70% of Google searches end without a single click Google's scraping ratio deteriorated from 2:1 to 18:1 (now potentially 150:1) ChatGPT's scraping ratio: 1500 pages scraped for every 1 click sent Consumer Behavior Transformation (00:20:14) Traditional model: Question → Search → Click → Read → Answer New model: Question → AI Agent → Instant Answer Websites, content, and ads removed from the equation Product discovery and shopping decisions now happening within AI interfaces AI agents becoming primary gateway for all information discovery Brand Visibility Crisis in AI Systems (00:28:08) 26% of brands have zero mentions in AI overviews Only strongest web presences get meaningful AI visibility Shopping agents demo as standard in every AI platform 40% of people discover products through ChatGPT Attribution models completely breaking down Number one brands getting 10x visibility advantage over competitors Economic Impact on Different Industries (00:33:17) E-commerce: Product discovery through AI conversation, not visual browsing Media publishers: AI extracts value without driving readership Local businesses: Only top-ranked establishments get AI recommendations Subscription models threatened by AI summaries Cloudflare offering tools to block/monetize AI scraping Immediate Predictions: Next 6 Months (00:39:11) Google AI mode moving beyond experimental to default experience Shopping ads expanding into AI overviews Specialized AI ecosystems for verticals (finance, travel, education) Every major platform integrating AI agents as primary interface Traditional SEO becoming completely irrelevant Adaptation Strategies: From SEO to GEO (00:42:54) GEO (Generative Engine Optimization) replacing traditional SEO Implement comprehensive schema markups for AI systems Structure content with clear question-based headings FAQs making a comeback for AI parsing Create answer-focused content architecture Inject brand names throughout content for AI citations Monitor use case scenarios instead of keywords Three Actions to Take Today (00:52:29) Audit how your brand appears across ChatGPT, Claude, Google AI Structure highest-value content for AI optimization immediately Develop media strategy for YouTube and social platforms Track AI citation frequency as new success metric Create 90-day adaptation plan Focus on becoming authoritative source that AI systems trust - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
Software 3.0 and the Future of Software Development 59:10

לפני 27 ימים59:10

59:10

In this technical deep-dive episode, Generation AI hosts Ardis Kadiu and Dr. JC Bonilla unpack Andre Karpathy's groundbreaking keynote on "Software 3.0" - the third revolution in how we tell computers what to do. They explore how we've moved from writing explicit code (Software 1.0) through neural networks (Software 2.0) to programming in plain English with LLMs (Software 3.0). The discussion reveals why LLMs represent a new computing paradigm comparable to the shift from mainframes to personal computers, and why Karpathy believes we're still in the "1960s era" of this revolution. Most importantly, they examine the massive opportunities this creates - from rebuilding infrastructure to creating agent-first applications - and why every software company needs to adapt or risk disruption. Whether you're a developer, entrepreneur, or education professional, this episode provides essential insights into the decade-long transformation ahead. Introduction and Context Setting (00:00:07) Decision to do a "geeky episode" after last week's personal discussion Introduction to Andre Karpathy's Y Combinator keynote "Software is Evolving Again" Karpathy's background: Tesla self-driving, OpenAI co-founder Setting up the framework for understanding software evolution Software 1.0: The Era of Explicit Instructions (00:03:55) Timeline: 1950s to 2010s Programming with explicit instructions in languages like Python, C, COBOL Deterministic and predictable behavior Example: Writing functions to classify spam emails with specific keywords How traditional developers were trained in this paradigm Software 2.0: Neural Networks as Programs (00:04:59) Timeline: 2010s to 2020s Programs written as neural network weights instead of code Humans become data curators rather than code writers Training as the new form of "compiling" programs Example: Training neural networks on billions of emails for spam detection The shift from deterministic to probabilistic programming Software 3.0: Natural Language Programming (00:07:00) Timeline: 2020s onward Programming in English through prompting LLMs as programmable computers Everyone becomes a programmer Example: Simply asking an LLM to "classify this email as spam or not" The democratization of programming LLMs as the New Operating System (00:10:26) Three perspectives: utilities, fabrication plants, and operating systems LLMs as utilities: like electricity, metered access, high reliability LLMs as fabs: enormous capital requirements, deep technical secrets LLMs as OS: new computing platform with CPU (LLM) and RAM (context window) Comparison to 1960s mainframe era - centralized, expensive computing The Missing GUI for Intelligence (00:15:35) Current state: still in the "terminal phase" of AI computing No graphical user interface for intelligence yet Discussion on whether we'll skip to voice or need visual interfaces Importance of visual bandwidth for human information processing The need for discoverability in interfaces Digital Spirits and AI Limitations (00:20:58) Karpathy's concept of LLMs as "people spirits" Superhuman abilities: perfect memory, instant processing Critical limitations: hallucinations, no long-term memory The "50 First Dates" problem - digital amnesia Jagged intelligence: superhuman at some tasks, terrible at others Example: LLMs struggling with simple number comparisons (9.11 vs 9.9) Building Software 3.0 Applications (00:24:01) Four key features: context management, multi-LLM orchestration, application-specific GUIs, autonomy slider The cursor model as an example Managing complexity while making it simple for users The importance of the autonomy slider for user control AI Agents and the Decade-Long Transition (00:27:42) "Agents are overrated" - not the year but the decade of agents The Iron Man suit analogy: augmentation vs replacement Human-in-the-loop considerations Tesla Autopilot example: 10 years later, still not fully autonomous Managing expectations for the pace of change Vibe Coding Success Story (00:34:06) Real-world example from Engage conference presentation CIO builds prototype in 2 hours using Lovable Web-accessible syllabus database project Dramatic reduction in time and resources needed The power of Software 3.0 for non-programmers Infrastructure Opportunities and Challenges (00:37:53) Three types of digital information consumers: humans, programs, AI agents Need for AI-accessible interfaces (LLM.txt files) Building infrastructure for agent consumption MCP protocol for agent communication The massive rebuild opportunity for entrepreneurs Educational Implications (00:39:12) Shift from information scarcity to abundance Karpathy's approach: keeping student and teacher separate but working on same artifact New skills needed: prompt engineering, context engineering Moving from memorizing algorithms to understanding application Debugging AI reasoning vs debugging code Traditional SaaS Transformation (00:47:19) The autonomy retrofit challenge Designing UIs for both humans and agents Need for AI-accessible equivalents for every action Risk of disruption from AI-first competitors Questions about human supervision and control Action Items for Different Audiences (00:51:18) Developers: Learn all three paradigms, build partial autonomy, focus on human oversight Entrepreneurs: Identify migration opportunities, build infrastructure, design with autonomy slider Everyone else: Start vibe coding, understand decade-long transition, develop human-AI collaboration skills The importance of starting now despite the long transition ahead Closing Thoughts and Call to Action (00:56:47) Karpathy's quote on the amazing opportunity ahead The quest for autonomy and the 3.0 movement Being part of a revolution in real-time Need for builders, thinkers, and creators in this new era - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
Ardis Closes an Era at Element451, Returns to Builder Mode as AI Reshapes Tech 44:47

לפני 5 weeks44:47

44:47

In this special episode of Generation AI, Ardis announces a major milestone: after nearly a decade of leading Element451 as Founder and CEO, he’s stepping away from the CEO role and returning to what he loves most—building. Recorded just after the big reveal at Engage Summit 2025, Ardis and JC dive into the reasons behind this move, what it means for the future of Element451, and why this shift aligns perfectly with the intense AI talent wars reshaping the industry today. Opening: Major Leadership Announcement at Engage Summit 2025 (00:00:00) JC introduces the special nature of this episode Announcement that Ardis Kadiu is stepping down as CEO of Element451 Context of the announcement made at Engage Summit with 600+ attendees Transition to board member role while continuing to guide company vision The Timing and Reasoning Behind the Transition (00:03:12) Element451's evolution from scrappy startup to industry-leading scale-up Platform transformation into an AI workforce platform Strong team and customer momentum as indicators for transition Ardis's identity as a builder at heart wanting to return to startup mode CEO vs Board Member: Defining the New Role (00:05:43) Differences between hands-on CEO involvement and strategic board guidance Focus shift from operations to product and innovation vision No disruption to Element's mission or customer experience Business continuity with added resources from PSG investment Company Culture and DNA Beyond Leadership (00:10:19) Discussion of Element's "no BS" culture Culture defined by people, not just leadership Confidence in team's ability to maintain company values The importance of hiring good people who fit the mission The AI Talent Wars and Market Dynamics (00:14:39) Meta forming super intelligence team by poaching from OpenAI Discussion of $100 million compensation packages for top AI talent Sam Altman's "mercenaries vs missionaries" positioning Examples like Cursor successfully recruiting from Anthropic Building in the AI Era: Opportunities and Acceleration (00:26:08) Small teams achieving massive scale with AI-first approaches Lower barriers to entry for new companies The compound effect of AI expertise and experimentation Capital actively seeking AI talent and ideas Reflections on the Entrepreneurial Journey (00:33:14) Lessons from building three previous companies The importance of network, connections, and accumulated knowledge How each venture accelerates the learning curve Plans to continue sharing the journey on the podcast Higher Education's True Value and Mission (00:40:05) Education as more than knowledge transfer - it's about community Personal story of how NYU connections led to Element451 The rewarding nature of building for higher education Advice for ed tech builders to stay connected to the mission - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
From AI features to AI teammates, exponential vs incremental change, student satisfaction metrics, culture transformation 23:57

לפני 6 weeks23:57

23:57

In this special episode recorded at Engage 2025, Generation AI hosts Ardis Kadiu and Dr. JC Bonilla sit down with Dr. Tracy Brundage, President of ABAC in Georgia, for a candid conversation about the real challenges of AI transformation in higher education. Moving beyond the typical efficiency metrics, they explore what it truly means to be "AI powered, people focused" and why incremental change isn't enough anymore. The discussion reveals that the biggest obstacles aren't technological—they're human, cultural, and structural. With students arriving on campus after years of ChatGPT use in high school, the panel examines how institutions must fundamentally rethink their approach to education, moving from delivering more software features to providing AI teammates that actually get used. This conversation offers practical insights for leaders struggling to balance rapid technological change with the timeless mission of creating belonging and connection for students. Opening: The State of AI in Higher Education (00:00:08) Closing session from Engage 2025 conference in Charlotte Theme: "AI powered, people focused" frames every conversation AI becoming foundation of campus services, not just an add-on Panel explores obstacles and transformation challenges The Exponential vs. Incremental Problem (00:03:31) Artists identifies gap between incremental desires and exponential needs People asking for efficiency gains while missing bigger transformation questions Old ways of thinking blocking adoption of transformative approaches Need to change internally to make things better for students Beyond Technology: The Real Barriers (00:06:06) Tracy identifies culture, systems, and structure as main obstacles "Sometimes less is less" - the problem of wearing too many hats Students arriving with 4 years of ChatGPT experience from high school Challenge of evolving academic integrity in digital age The 93% Problem: Unused Features (00:08:14) Across industries, 93% of software features go unused Adding more features increases anxiety rather than solving problems Element451 shifting from features to AI agents that handle entire workflows Focus on delivering teammates, not tools AI as a Unifying Force (00:09:22) Discussion of AI breaking down traditional silos ABAC bringing admissions and alumni into same office AI accelerating organizational transformation Change management as the critical factor, not technology Measuring What Matters: Student Experience (00:13:04) Moving beyond efficiency metrics like hours saved Student belonging and connection as key success indicators Why higher ed lacks customer satisfaction scores for students AI exposing existing cracks in educational systems The Unknown Future of Work and Education (00:17:19) Preparing students for jobs that don't exist yet Legacy programs may not offer viable career pathways 20% chance AI development goes wrong, 80% chance for abundance Building for next 6 months while future remains uncertain Closing Wisdom and North Star Advice (00:21:14) Tracy: "Design with empathy, lead with curiosity, never lose sight of the student" Artists: Everyone is figuring it out together, no true experts exist Start where you are and keep building incrementally JC: "Be a manager of AI and leader of people" - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
Engage Summit 2025 Preview Special 41:50

לפני 7 weeks41:50

41:50

In this special conference preview episode, hosts Ardis Kadiu and JC Bonilla take listeners behind the scenes of Element451's upcoming Engage Summit, a three-day intensive gathering of 600+ higher education leaders focused on building the AI workforce. The episode breaks down the conference's "AI powered, people focused" theme while exploring how institutions are moving from AI-curious to AI-native mindsets. The hosts discuss their individual presentations, from AGI's impact on knowledge work to practical vibe coding sessions, providing insight into the cutting-edge AI strategies that will shape higher education's future. This episode is essential for understanding where the industry is heading and how leaders can prepare for an agentic world. Opening and Conference Introduction (00:00:00) Introduction to Engage Summit: June 24-26 in Charlotte, North Carolina 600+ in person, and 2000+ virtual higher education leaders gathering for three-day intensive Theme: "AI-powered, People-Focused" The Origin Story and Philosophy of Engage Summit (00:02:51) Conference designed as industry event, not just Element451 user conference Evolution from bleeding-edge technology focus to AI-centered programming Connection between Engage Summit and Enrollify Podcast network "AI powered, people focused" approach to conference design Conference Structure and Design Strategy (00:09:23) Day 1-2: Open to entire higher education industry Day 3: Deep dive for Element451 customers only Goal: Attendees leave with campus-ready agent playbooks 50+ sessions across multiple tracks with virtual streaming option Keynote Speakers and Strategic Sessions (00:13:18) Dr. Kosmas Karadimitriou from PSG: "Agents shifting from tool to teammate" Presidential POV panel on AI-powered resilience in uncertain times Crisis communications using AI for rapid deployment Focus on real-world applications and expert commentary Ardis Kadiu's Conference Presentations (00:22:57) Product keynote: 60-minute preview of AI agents and platform transformation Vibe coding session: Building functional apps using natural language Deep research tools: First agentic capabilities now available AGI discussion: What happens when AI outperforms humans at intellectual tasks JC Bonilla's Conference Sessions (00:32:25) Market research calibration with Tambolini research AI maturity models for higher education with Doc Smith Advanced ChatGPT features lightning talk Focus on change management fatigue and resource-trapped institutions The Evolution of AI's Role in Higher Education (00:30:47) Discussion of AI as enabler vs. replacement in 2025-2026 timeframe Productivity boost and value creation in near term Student experience improvements through AI integration Moving beyond "AI will take your job" to practical implementation Conference Wrap-Up and Registration (00:40:13) Virtual attendance available at engage.element451.com All sessions will be recorded and made available post-conference Positioned as one of most advanced AI conferences in higher education Emphasis on practical sessions with real use cases - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

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CEO insights on AI transformation, Speed as the new moat, OpenAI hits $10B, Meta buys Scale AI, Apple's AI struggles 41:32

לפני 8 weeks41:32

41:32

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore what it means to build truly AI-native organizations. Fresh from a CEO conference, Ardis shares critical insights about how AI-first companies are fundamentally different from traditional SaaS businesses. They break down the major AI news of the week, including OpenAI's milestone of hitting $10 billion in annual revenue, their 80% price drop on the O3 Pro model, Meta's strategic acquisition of Scale AI, and Apple's continued struggles with AI integration at WWDC. The discussion focuses on why legacy companies face serious headwinds while AI-native organizations achieve non-linear growth through speed and efficiency. This episode is essential listening for higher education leaders who need to understand how AI transformation goes beyond adding chatbots - it requires rethinking your entire operational model and organizational culture. Recent AI News Roundup (00:00:32) OpenAI reaches $10 billion annual recurring revenue milestone O3 Pro model pricing drops 80% while delivering superior reasoning capabilities Meta's strategic acquisition of Scale AI to accelerate path to AGI Apple's disappointing WWDC showing with continued AI integration delays Defining AI-Native Organizations (00:13:37) AI-native as organizational fabric, not a checkbox feature Every process designed assuming AI is always on and learning Fundamental difference from traditional SaaS companies adding AI wrappers The journey from SaaS to cloud to AI-first to AI-native Traditional SaaS Company Headwinds (00:18:07) Linear scaling model requiring more humans for growth Increasing customer acquisition costs in saturated markets Legacy code bases preventing rapid AI integration "This is how we've always done it" mentality blocking transformation AI-Native Company Advantages (00:26:19) Non-linear growth with minimal headcount (Cursor's 500M ARR example) Speed as the primary competitive moat Reduced dependency on human resources for scaling Built-in agility enabling faster product innovation and iteration Beyond Insights to Action (00:31:45) Moving from dashboards to prescriptive actions AI telling you what to do next, then doing it for you Consumer expectations shaped by Amazon-like experiences and ChatGPT interactions Anchoring effect making static solutions appear outdated Organizational Transformation Requirements (00:36:26) AI literacy must be distributed across entire organization, not siloed Avoiding two-class employee systems that create culture clashes Individual responsibility to seek AI-forward organizations Daily compounding effect approach rather than overnight transformation Cultural and Human Factors (00:39:33) Leadership must model AI-first behavior daily Gradient approach to transformation with consistent progress Employee upskilling essential for career viability Organizational DNA change required for true AI-native status - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

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AGI Timeline 2029: What Happens When AI Surpasses Human Intelligence? 1:08:06

לפני 9 weeks1:08:06

1:08:06

Forget everything you think you know about AI timelines. The world's top AI labs now say AGI—artificial intelligence that surpasses humans at all tasks—is 5 years away, not 50. ChatGPT's 800 million users was just the beginning. When AI can teach better than any professor, diagnose better than any doctor, and code better than any developer, what happens to human work? To education? To you? This isn't futurism—it's a timeline shock that's sending universities into crisis mode. The race to AGI is on, and if you're not preparing now, you're already behind. Opening: From Basketball to AGI's Moon Shot (00:00:00) The Knicks' 25-year drought as metaphor for timeline compression AGI as "today's moon shot" with labs racing at full throttle The shift from "will AI get smart?" to "AI is already outthinking us" The Context: Why This Matters Today (00:04:21) ChatGPT's explosive growth: 800 million users in under 3 years—history's fastest tech adoption Current AI still "narrow"—brilliant but limited like a writer who can't do math Sam Altman's bombshell: "We now know how to build AGI" Why education leaders need to understand this shift immediately What Is AGI and How Is It Different? (00:11:33) The specialist doctor vs. Leonardo da Vinci comparison AGI capabilities: learns without training, transfers knowledge, solves new problems OpenAI's definition: outperforms humans at most economically valuable work Google DeepMind's bar: matching Einstein's scientific breakthroughs Machines shifting from assistants to peers—or superiors The Timeline Shock: Why Now? (00:20:54) Sam Altman: AGI by 2029 (current presidential term) Dario Amodei: AI outsmarts humans by 2026 2,778 AI researchers: median prediction now 2047, down 13 years in one year 10% chance of AGI by 2027—"Would you board that plane?" Compute growing 10x yearly, costs down 99.7%, $212 billion invested in 2024 What This Means for the Knowledge Economy (00:27:23) 80% of US workforce faces task disruption—all wage and education levels Not just blue-collar: lawyers, doctors, engineers, executives all impacted McKinsey already cutting 10% workforce, replacing with AI The paradox: GDP could 10x while jobs disappear GitHub Copilot at 77,000 organizations, growing 180% yearly The Education Paradox (00:33:02) Universities' three pillars: knowledge transfer, certification, community AGI breaks the first two completely When AI teaches perfectly for free, "what's a lecture for?" When AI outperforms any graduate, "what's a diploma for?" Chegg's stock crash, coding bootcamps struggling, MBA programs questioning value Three Futures for Universities (00:40:06) Human-Edge College: Small seminars, mentorship, emotional intelligence, ethics Research Steward: Ethical guardians of AGI, independent from profit motives Lifelong Learning Platform: Continuous upskilling partner using AI at scale The shift from information delivery to human development Year One Projection: The AI Teammate Era (00:48:29) AI agents as actual teammates handling meetings, reports, decisions Students using AI regardless of policies—adaptation isn't optional Schools must decide how to integrate, not whether The institutions experimenting now vs. those falling behind Year Five Projection: The Hybrid Intelligence Era (00:50:01) 2030: Seamless human-AI collaboration across all knowledge work New jobs emerge: AI psychologists, algorithm auditors, team coordinators Every student with 24/7 personalized AI tutor Professors transform into coaches, degrees become competency-based Year Ten Projection: Abundance or Inequality (00:52:51) Best case: Monthly scientific breakthroughs, disease prevention, climate solutions Worst case: Mass unemployment, extreme inequality, human purpose crisis Larry Ellison's $600B Stargate project for personalized medicine Education's new role: helping humans find meaning when machines do the work The Call to Action: Lead or Be Led (00:59:37) Change is coming faster than anyone thinks—decades are now years Start experimenting immediately—not next semester, now Focus on uniquely human qualities: empathy, creativity, ethical reasoning Universities must become thought leaders, not bystanders "The future isn't fixed—we decide if AGI amplifies or replaces us" - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
Dear Class of 2025: You're Competing with AI for Your First Job 44:56

לפני 10 weeks44:56

44:56

In this eye-opening episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle the harsh reality facing the Class of 2025 - the first graduating class in human history competing directly with AI for entry-level jobs. With college graduate unemployment hitting 6% (exceeding the national average for the first time in 45 years), they explore how AI is fundamentally reshaping the job market. The hosts analyze reports from CBS News and SignalFire, discuss Anthropic CEO Dario Amodei's stark prediction of 20% unemployment, and offer practical advice for new grads navigating this unprecedented shift. This episode is essential listening for students, parents, educators, and anyone concerned about how AI is transforming the path from education to employment. The First Generation Competing with AI (00:00:00) Setting up the paradox: greatest productivity explosion yet most uncertain future for graduates Every generation gets a defining technology - this one gets AI 4 million Americans graduating into the tightest labor market competing with AI Unprecedented Graduate Unemployment Crisis (00:05:52) College graduate unemployment hits 6% vs 4.2% national average First time in 45 years graduates face higher unemployment than general population Average student loan debt of $37,000 creating impossible catch-22 Entry-level positions requiring 3-5 years experience Tech Industry Restructuring and Entry-Level Freeze (00:10:20) Microsoft, Google, Meta, Amazon freezing entry-level programming positions Tech companies posting record profits while eliminating junior roles Tech as historic engine of economic mobility now stalling Parents questioning if STEM degrees still matter Dario Amodei's 20% Unemployment Warning (00:19:51) Anthropic CEO predicts unemployment rivaling Great Depression 80% of code to be written by AI within two years Discussion of hyperbole vs reality in AI predictions GDP growth implications and historical context All In Podcast Insights: New Grads as "Autocomplete of the Past" (00:25:00) Chamath's analogy: new grads were human autocomplete, AI does it better Young + AI-native = hireable vs old + resistant = obsolete Solution: start companies, join startups, or get left behind Every revolution creates more than it destroys Universities at a Crossroads (00:28:48) Education as expensive trap vs great equalizer debate Curriculum development pressure and credential inflation Universities' slow response but emphasis on critical thinking Alternative paths (bootcamps, certificates) under pressure Practical Advice for New Graduates (00:34:22) Double down on becoming AI-native - use every tool, automate everything Skip Fortune 500s - target Series A startups or start your own Embrace controlled chaos - job security is dead, adaptability is key Find human + AI roles, not human vs AI positions Interview question tip: ask how they use AI personally The Great Experiment with No Control Group (00:39:06) Running an unprecedented experiment on an entire generation Class of 2025: lost generation or first AI generation? Old path closing for students, revolution or irrelevance for educators Everyone must be an active participant, not passive observer Industrial revolution parallels and being part of history - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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
Windows goes agent-first, Google AI Mode lands, Veo 3 kills Hollywood, Ive + OpenAI $6.5B deal, Claude 4 hits 47:56

לפני 11 weeks47:56

47:56

In this news-packed episode, JC and Ardis break down the major AI announcements from Microsoft Build, Google I/O, OpenAI's acquisition of Jony Ive's company, and Anthropic's Claude 4 launch. They explore how Microsoft is transforming Windows into an agent-first platform with MCP integration, Google's massive push into AI applications with Veo 3 video generation and AI search mode, OpenAI's $6.5 billion move into hardware design, and Anthropic's new Claude 4 model focused on advanced coding. The hosts discuss what these developments mean for higher education professionals and how each tech giant is positioning itself differently - Microsoft as the agent OS, Google as the AI dev layer, OpenAI owning AI interfaces, and Anthropic delivering the agent brain. Introduction and Overview (00:00:00) Rapid-fire week of AI announcements from major tech companies Microsoft Build, Google I/O, OpenAI hardware moves, and Anthropic Claude 4 Each company positioning differently in the AI ecosystem Microsoft Build 2025: Windows Goes Agent-First (00:02:55) Windows AI Foundry emerges as toolkit for building AI agents Adoption of Model Context Protocol (MCP) for multi-agent orchestration Windows Recall bringing memory and context to AI assistants Copilot Studio for building agents across Microsoft ecosystem NLWeb transforms websites into conversational interfaces for AI agents Google I/O: The AI Application Layer Push (00:11:46) Gemini models show 50x increase in usage year-over-year Introduction of Gemini 2.5 Flash and Pro with deep thinking mode LearnLM: Fine-tuned models specifically for education Veo 3: Revolutionary AI video generation with synchronized audio ImageGen 4 for advanced image generation Flow: AI-powered filmmaking tool for creating scenes and characters NotebookLM now creates video overviews from concepts Google AI Search Mode: The SEO Game Changer (00:24:49) Structured answers replacing traditional blue links Mobile search with video and image capabilities Major implications for website traffic and SEO strategies Competition with Perplexity and ChatGPT search Shift in user behavior toward deep research queries OpenAI Acquires Jony Ive's Company IO (00:33:25) $6.5 billion acquisition brings iPhone designer to OpenAI Focus on ambient intelligence and AI-first physical devices Moving beyond software to hardware interfaces Potential for revolutionary AI device design The evolution from productive to hedonic technology Anthropic Launches Claude 4 (00:41:26) Advanced reasoning and coding proficiency improvements Positioning as one of the most capable coding models Enhanced agent use capabilities Deep reasoning for complex problem-solving Expansion of API to support MCP integration MCP: The Universal Protocol Connecting Everything (00:43:48) All major players adopting Model Context Protocol Microsoft, Google, OpenAI, and Anthropic supporting MCP Simplifying integrations between AI systems Creating the "HTTP for agents" to communicate Major implications for building connected AI ecosystems Key Takeaways and Future Implications (00:46:18) Microsoft building the agent operating system Google creating the AI development layer OpenAI focusing on AI interfaces and hardware Anthropic delivering the agent brain All working toward AI systems that live, think, and work across everything - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

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AI Didn't Break Education - It Exposed the Cracks 52:51

לפני 12 weeks52:51

52:51

In this thought-provoking episode of Generation AI, hosts Dr. JC Bonilla and Ardis Kadiu welcome special guest Michael McGetrick, a veteran educator and creative technologist, to explore how AI is transforming teaching and learning. They discuss the urgent question facing educators today: what is AI doing to student learning? The conversation examines how AI is exposing existing cracks in educational systems rather than breaking them, highlighting a "relevance crisis" rather than a "cheating crisis." From redesigning assessment methods to understanding how AI enhances skill-based learning, the hosts share research findings and personal experiences about the real impact of tools like ChatGPT in education, and how students and educators can adapt to this new reality that's already here. AI's Impact on Teaching and Learning Today (00:00:00) AI is exposing existing cracks in educational systems rather than breaking them Introduction to the urgent questions facing educators, parents, and technologists The shift from AI as the future of education to AI as the present reality Introduction to Mike McGetrick and His Course (00:02:23) Mike McGetrick joins as a guest expert - principal at Spark451, veteran educator, and creative technologist The hosts establish their educational backgrounds and experiences Mike shares his experience teaching a generative AI course at Brooklyn College Designing a Curriculum for Generative AI (00:05:27) How Mike approached creating a curriculum from scratch for teaching AI in design Balancing traditional design principles with new AI tools The importance of building a foundation of knowledge while integrating AI tools The Time-to-Value Shift in Learning (00:07:48) Students can now apply principles in minutes rather than over weeks How immediate application affects the learning process Teaching students to think about design elements as "data features" for prompts The "Cheating" Controversy in Education (00:12:25) Discussion of the viral New York Magazine article about students using AI The concept of "cheating" versus utilizing available tools How traditional assessment methods are becoming outdated Redefining Learning Through Outcomes (00:17:52) Focus on quality of output rather than effort or "the grind" The balance between mental health concerns and educational standards The importance of learning through struggle and growth The Relevance Crisis in Higher Education (00:27:59) AI didn't break education - it exposed how outdated it already was The need for education to adapt to modern skills and outcomes How higher education needs to evolve to remain relevant Research Findings on AI's Impact on Learning (00:29:23) Discussion of 51 studies on ChatGPT's effect on learning Learning performance shows significant improvement with AI after 4-8 weeks Moderate effects on concept learning and higher-order thinking AI as Coach Rather Than Answer Provider (00:36:54) The importance of using AI as a thinking partner Concern about students not building foundational knowledge The need to teach students about their own learning process AI in the Workforce (00:40:59) The growing emphasis on AI skills in the workplace CEOs requiring employees to use AI as part of their jobs Debate on whether specialists or generalists will thrive in an AI-driven workplace Closing Thoughts: A Path Forward (00:49:17) Suggestion for a new course on "My Learning Journey" to help students understand how learning happens Understanding the learning process as crucial for deciding how to use AI effectively The transformation of education and embracing the changes ahead - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

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Model Context Protocol (MCP): Making AI Agents Talk to Your Data 31:07

לפני 13 weeks31:07

31:07

In this insightful episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle Model Context Protocol (MCP), a new standardization that's gaining rapid adoption across the AI industry. They explain how MCP functions as a universal adapter between AI models and data sources, solving the "Frankenstein middleware" problem that makes building AI agents so complex today. The hosts break down why this matters for higher education professionals, how it reduces hallucinations by improving data access, and why major players like OpenAI, Google, and HubSpot are already implementing it. This episode offers critical insight into how standardization will make AI tools more useful and less complex for everyone. What is Model Context Protocol (MCP)? (00:01:00) Introduction to MCP as a standardization protocol for AI agents Hosts explain MCP as a way to help AI access context and data The "three-legged stool" of AI agents: intelligence, context, and action MCP provides the standard for how agents communicate with data sources MCP as the Universal AI Adapter (00:04:42) JC compares MCP to standardized protocols like TCP/IP and USB-C MCP sits between models like Claude or Gemini and various data sources It eliminates the need for custom connectors between each tool and AI model The protocol's simplicity as a minimal viable product (MVP) is key to its success How MCP Works (00:07:03) MCP is a protocol, not an API, that describes format and flow "Discovery first" approach where AI asks "what can you do?" Uses JSON format for tools and data exchange Works both locally and remotely over HTTP The Technical Benefits of MCP (00:13:14) Solves the "m by n headache" of needing separate connectors for each model-tool pair Reduces hallucinations by providing AI with reliable data sources Gives AI models access to specialized tools for tasks they struggle with Enables "grounding" in real data rather than making things up Industry Adoption and Momentum (00:17:14) OpenAI, Google, HubSpot, LangChain and others already implementing MCP HubSpot's beta MCP server allows for direct CRM data access in Claude Growing availability for tools like Slack, Teams, and Zapier Discussion of how MCP layers on top of existing APIs Practical Applications (00:20:36) Higher education examples: connecting LMS, advisor notes, financial aid systems Sales use case: AI agents accessing CRM data through MCP for follow-ups DevOps: AI monitoring logs, creating tickets, and managing communication Analytics: Connecting data sources, models, and reporting tools seamlessly Challenges and Considerations (00:23:17) MCP requires widespread adoption to be truly effective Product teams must be convinced to implement it alongside existing APIs Possibility that another protocol might eventually win out Current technical hurdles for implementation that are being addressed Call to Action for Listeners (00:26:03) Experiment with MCP servers that connect to Claude desktop For AI product builders: write MCP servers for your applications now Ask AI vendors: "Do you speak MCP?" as a signal of cutting-edge capability MCP as the new standard, comparable to asking "Do you have an API?" Conclusion: The Future of AI Integration (00:29:14) MCP's architectural implications for more open, modular AI systems The need for agents to speak a common language across platforms Invitation for listeners to share which workflows they'll connect once MCP goes mainstream - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

לפני 46 weeks25:48

25:48

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore the transformative potential of synthetic data in AI model advancements. They discuss how this artificially generated information has become crucial for AI systems, now accounting for 60% of data used in AI according to Gartner. Highlighting the accessibility of this technology, JC and Ardis conduct a live demonstration, generating synthetic admissions data in real-time. This practical showcase illustrates how institutions can leverage synthetic data to solve real-world problems in education, from forecasting enrollment to optimizing resource allocation. Understanding Synthetic Data (00:07:05) Definition: Artificially generated data mimicking real-world patterns Importance: 60% of data in AI is synthetically generated (Gartner statistic) Use in training smaller, specific models for various applications Regulatory and ethical considerations, including privacy and security implications Applications in Higher Education (00:03:11) Creating datasets for testing failure scenarios in educational systems Using synthetic data for student recruitment and admissions modeling Potential for inventory management and forecasting in campus operations Examples in autonomous vehicles, finance, and healthcare applicable to university research Live Synthetic Data Generation Demo (00:16:25) Introduction of "Artis, I have a question" segment Step-by-step process of generating synthetic admissions data using AI Demonstration of creating Python code for data generation and visualization Discussion on potential refinements and uses of generated data in higher education contexts - - - - Connect With Our Co-Hosts: Ardis Kadiu https://www.linkedin.com/in/ardis/ https://twitter.com/ardis Dr. JC Bonilla https://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 .…

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