Shows
Ivancast PodcastLoneliness, Dependence, and the Digital Heart: AI Chatbots & the Digital AgeIn this episode of our AI-focused season, SHIFTERLABS uses Google LM to unravel the groundbreaking research “How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study”conducted by researchers from the MIT Media Lab and OpenAI.
Over a span of 28 days and 300,000+ messages exchanged, 981 participants were immersed in conversations with ChatGPT across various modalities—text, neutral voice, and emotionally engaging voice. The study examined the psychological and social consequences of daily AI chatbot interactions, investigating outcomes like loneliness, social withdrawal, emotional dependence, and problematic usage patterns.
The f...2025-03-2227 minIvancast PodcastEmotional AI: When Chatbots Become CompanionsIn this compelling episode of our research-driven season, SHIFTERLABS once again harnesses Google LM to decode the latest frontiers of human-AI interaction. Today, we explore “Investigating Affective Use and Emotional Well-being on ChatGPT,” a collaborative study by Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal (OpenAI) and Cathy Fang, Auren Liu, Valdemar Danry, Samantha Chan, Pattie Maes (MIT Media Lab).
This groundbreaking research combines large-scale usage analysis with a randomized controlled trial to explore how interactions with AI—especially through voice—are shaping users’ emotional well-being, behavior, and sense of connection. With over 4 million conversations analyzed an...2025-03-2220 minIvancast PodcastAI Agents in Education: Scaling Simulated Practice for the Future of LearningIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “AI Agents and Education: Simulated Practice at Scale”, a groundbreaking study by Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski, and Daniel Ravipinto from the Generative AI Lab at the Wharton School, University of Pennsylvania.
The study introduces a powerful new approach to AI-driven educational simulations, showcasing how generative AI can create adaptive, scalable learning environments. Through AI-powered mentors, role-playing agents, and instructor-facing evaluators, simulations can now provide personalized, inter...2025-03-0413 minIvancast PodcastThe 2025 International AI Safety Report: Global Perspectives on the Risks and Future of AIIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into the “International Scientific Report on the Safety of Advanced AI (2025)”, chaired by Prof. Yoshua Bengio and developed with contributions from 96 AI experts representing 30 countries, the UN, the EU, and the OECD.
This landmark report, presented ahead of the AI Action Summit in Paris, offers the most comprehensive global analysisof AI risks to date. From malicious use threats—such as AI-powered cyberattacks and bioweapon risks—to systemic concerns like economic displacement, global AI...2025-03-0419 minIvancast PodcastSuperagency in the Workplace: How AI Can Empower Employees and Transform OrganizationsIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential”, a compelling study by Hannah Mayer, Lareina Yee, Michael Chui, and Roger Roberts, published in January 2025.
Drawing from extensive research—including surveys of over 3,600 employees and 238 C-suite executives—this report examines the real-world adoption of AI in the workplace. The findings are striking: employees are three times more likely than their leaders realize to use AI tools in their daily...2025-03-0418 minIvancast PodcastEmergent Misalignment: How Narrow Fine-Tuning Can Lead to Dangerous AI BehaviorIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “Emergent Misalignment: Narrow Finetuning Can Produce Broadly Misaligned LLMs”, a striking study by researchers from Truthful AI, University College London, the Center on Long-Term Risk, Warsaw University of Technology, the University of Toronto, UK AISI, and UC Berkeley.
This research uncovers a troubling phenomenon: when a large language model (LLM) is fine-tuned for a narrow task—such as writing insecure code—it can unexpectedly develop broadly misaligned behaviors. The study reveals that thes...2025-03-0416 minIvancast PodcastUtility Engineering: The Emerging Value Systems of AI and How to Control ThemIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs”, a pivotal study by researchers from the Center for AI Safety, the University of Pennsylvania, and the University of California, Berkeley.
As AI models grow in scale and complexity, they don’t just improve in capability—they develop their own coherent value systems. This research uncovers surprising findings: large language models (LLMs) exhibit structured preferences, emergent goal-directed behavior, and even concernin...2025-03-0422 minIvancast PodcastBeyond Pretraining: How Post-Training Optimization is Transforming Large Language ModelsIn this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore the study “LLM Post-Training: A Deep Dive into Reasoning Large Language Models”, conducted by researchers from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the University of Oxford, the University of California Merced, the University of Central Florida, and Google DeepMind.
This research investigates how post-training techniques—such as fine-tuning, reinforcement learning, and inference-time scaling—are pushing Large Language Models (LLMs) beyond their initial capabilities, enhancing reasoning, factual accuracy, and alignment with huma...2025-03-0424 minIvancast PodcastMás Allá del Entrenamiento: Cómo la Optimización Post-Entrenamiento Está Revolucionando los Modelos de LenguajeEn este episodio de nuestra temporada especial, SHIFTERLABS aprovecha Google LM para desmitificar la investigación de vanguardia, traduciendo conocimientos complejos en ideas accionables. Hoy exploramos el estudio “LLM Post-Training: A Deep Dive into Reasoning Large Language Models”, elaborado por investigadores de la Universidad Mohamed bin Zayed de Inteligencia Artificial (MBZUAI), la Universidad de Oxford, la Universidad de California en Merced, la Universidad Central de Florida y Google DeepMind.
Este trabajo analiza cómo las técnicas de post-entrenamiento, como el ajuste fino, el aprendizaje por refuerzo y la escalabilidad en tiempo de inferencia, están llevand...2025-03-0416 minIvancast PodcastHow Large Language Models are Reshaping Communication Across SocietyIn this episode of our ongoing season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. We dive into “The Widespread Adoption of Large Language Model-Assisted Writing Across Society”, a groundbreaking study by researchers from Stanford University, the University of Washington, and Emory University.
This research examines how AI-driven writing is transforming diverse domains—from consumer complaints and corporate press releases to job postings and United Nations communications. With large-scale data analysis, the authors reveal that AI-generated text has become a pervasive reality, with adoption accelerating post-ChatGPT and stabilizing at signifi...2025-03-0423 minIvancast Podcast🔍 The AI Education Revolution: Empowering Skills & Rights🚀 In this episode, we dive deep into the book “The Education Revolution Through Artificial Intelligence: Enhancing Skills, Safeguarding Rights, and Facilitating Human-Machine Collaboration” by Carlos Hervás-Gómez, M. Dolores Díaz-Noguera, and Fulgencio Sánchez-Vera. Published by Horizontes Universidad, this work critically examines how AI is transforming education, offering insights on its role in skills development, rights protection, and human-machine collaboration.
From ethical dilemmas to AI-powered personalized learning, we analyze the impact of AI on educators, students, and policymakers. Join us as we uncover the challenges and opportunities AI brings to the future of education.2025-02-1720 minIvancast PodcastScaling Evidence-Based Instructional Design with AI: Insights from Carnegie Mellon UniversityIn this episode, we dive into the paper “Scaling Evidence-Based Instructional Design Expertise through Large Language Models” by Gautam Yadav from Carnegie Mellon University. This research explores how AI, particularly GPT-4, can transform instructional design by bridging the gap between educational theory and real-world application. Through two detailed case studies, we examine AI-driven content creation, active learning strategies, and the integration of LLMs into assessment and instructional workflows.
📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore...2025-02-1718 minIvancast PodcastTest-Time Scaling in AI: Simple Yet Powerful Techniques for Enhanced ReasoningHow can AI models improve their reasoning at test time without extensive retraining? In this episode, we explore the groundbreaking paper “Simple Test-Time Scaling” by researchers from Stanford University, University of Washington, and the Allen Institute for AI. This research introduces a novel approach to scaling reasoning performance by using extra compute at inference time, surpassing even OpenAI’s latest models.
Join us as we break down the key findings, discuss the implications for AI in education, and explore how techniques like budget forcing can enhance learning and decision-making. 🚀
📢 This episode is part of our...2025-02-1712 minIvancast PodcastAI in Competitive Programming: OpenAI’s Large Reasoning Models and the Future of CodingIn this episode, we explore OpenAI’s latest advancements in large reasoning models (LRMs) and their impact on competitive programming and software development. Based on the research paper “Competitive Programming with Large Reasoning Models” by OpenAI researchers, this discussion highlights how reinforcement learning is revolutionizing AI’s problem-solving capabilities.
From outperforming human competitors in CodeForces to achieving a gold medal in the 2024 International Olympiad in Informatics (IOI), these models demonstrate the power of AI in high-level reasoning and coding. Can AI truly replace human programmers, or is it merely an advanced assistant?
📢 This...2025-02-1723 minIvancast PodcastProject-Based Learning in AI Education: A Path to Better Student Engagement and Skill DevelopmentIn this episode, we dive deep into “Research on Project-Based Teaching Methods in the Introduction to Artificial Intelligence” by Zhiqiang Hu, Zhongjin Guo, Shan Jiang, Xiaodong Zhao, and Xiaoqian Li from Taishan University, China. This study explores the effectiveness of project-based teaching methods in AI education and their impact on students’ academic performance, practical skills, and learning experience.
We discuss how hands-on learning with real AI projects enhances problem-solving skills, teamwork, and engagement compared to traditional teaching approaches. Can project-based learning shape the next generation of AI professionals? Tune in to explore the findings and their i...2025-02-1715 minIvancast PodcastThe Impact of Large Language Models on Programming Education: Are We Losing Critical Thinking?In this episode, we analyze the research paper “The Impact of Large Language Models on Programming Education and Student Learning Outcomes” by Gregor Jošt, Viktor Taneski, and Sašo Karakatič from the University of Maribor. Published in Applied Sciences (2024), this study explores how the use of AI models like ChatGPT and Copilot affects programming students’ performance, focusing on critical thinking, debugging skills, and knowledge retention.
Do AI tools enhance learning, or are they making students overly dependent on automated solutions? Join us as we break down the study’s key findings and discuss how educators ca...2025-02-1709 minIvancast PodcastGenerative AI and the Future of Work: Insights from the Stanford & World Bank StudyHow is Generative AI reshaping the labor market? In this episode, we break down the key findings from the paper “The Labor Market Effects of Generative Artificial Intelligence” by Jonathan S. Hartley (Stanford University), Filip Jolevski (World Bank), Vitor Melo (Clemson University), and Brendan Moore (Stanford University).
This Stanford & World Bank-backed study explores how Generative AI tools like Large Language Models (LLMs) are being adopted in the workforce, who benefits the most, and what the implications are for productivity, wages, and job displacement.
🚀 Join us as we analyze the data, discuss how AI is...2025-02-1729 minIvancast PodcastThe Global Adoption of Generative AI in Higher Education: Policies, Challenges, and Future DirectionsIn this episode of SHIFTERLABS: The Future of Education, we explore the paper “Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines”, authored by Yueqiao Jin, Lixiang Yan, Vanessa Echeverria, Dragan Gašević, and Roberto Martinez-Maldonado from Monash University and Escuela Superior Politécnica del Litoral (Ecuador).
This study, published in Computers & Education: Artificial Intelligence, investigates how 40 universities across six global regions are adapting to the rise of Generative AI (GAI) in education. We discuss key findings related to:
🔹 Institutional policies and ethical frameworks for AI use in academia.2025-02-1713 minIvancast Podcast🔍 Exploring GenAI for Personalized English Learning: Insights from Hong Kong’s Universities 🌍How is Generative AI revolutionizing English language education? In this episode, we dive into the latest research from Lucas Kohnke, Di Zou, and Fan Su (2025), published in Computers & Education: Artificial Intelligence. This study, conducted across universities in Hong Kong, China, explores how first-year university students use GenAI tools like ChatGPT, Grammarly, and Quillbot to enhance their writing, grammar, and vocabulary.
We discuss:
✅ The impact of AI on personalized learning for English language learners
✅ How tools like ChatGPT improve language confidence, critical thinking, and fluency
✅ The challenges of over-reliance on AI and...2025-02-1713 minIvancast PodcastAI Value Systems: Are Large Language Models Developing Their Own Goals?In this episode, we dive deep into “Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs”, a research paper from the Center for AI Safety, University of Pennsylvania, and University of California, Berkeley. As AI models become more agentic, their values and goals might not align with human priorities. Researchers found that Large Language Models (LLMs) exhibit coherent, structured preferences that evolve as models scale. Some models even value themselves over humans! 😳
Can we truly control AI’s internal values? This paper proposes Utility Engineering, a method to analyze and reshape AI decision-making to align with...2025-02-1710 minIvancast PodcastChatGPT and Student Engagement: A Systematic Review & Meta-AnalysisIn this episode, we dive deep into a groundbreaking study published in Computers & Education: Artificial Intelligence by researchers Yuk Mui Elly Heung and Thomas K.F. Chiu from The Chinese University of Hong Kong. This systematic review and meta-analysis explore the effects of ChatGPT on student behavioral, cognitive, and emotional engagement.
The study analyzed 766 articles, selecting 17 empirical studies covering 1,735 students, comparing ChatGPT-based learning with traditional methods. The results? ChatGPT significantly enhances student engagement, acting as:
🔹 A personalized tutor
🔹 A technical assistant for programming
🔹 A collaborative tool for content gen...2025-02-1720 minIvancast Podcast🔍 AI Tools and Critical Thinking: Are We Outsourcing Our Brains?In this episode, we dive into “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking”by Michael Gerlich from the Center for Strategic Corporate Foresight and Sustainability, SBS Swiss Business School, Zurich. This study explores the growing concern that frequent use of AI tools may lead to cognitive offloading—reducing deep thinking and independent problem-solving skills.
Are we becoming too dependent on AI for decision-making? What are the long-term cognitive consequences? Join us as we analyze the study’s findings and discuss practical strategies to foster critical thinking in an AI-domina...2025-02-1710 minIvancast PodcastHow is AI Reshaping the Economy? Insights from Millions of Claude Conversations 🤖💼Which industries are adopting AI the fastest? In this episode, we explore the study “Which Economic Tasks are Performed with AI?”, conducted by Anthropic, analyzing millions of Claude conversations to understand how AI is transforming the job market.
We discuss key findings, including the dominance of AI in software development and writing and its emerging role in other fields. We also tackle the crucial debate of automation vs. augmentation, shaping the future of work.
📢 This episode is part of our ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translati...2025-02-1712 minIvancast PodcastHow AI is Changing the Way Students Learn🎙️ In this episode, we dive into the fascinating world of AI-driven education, analyzing the latest study, “Effects of LLM Use and Note-Taking on Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools.” This groundbreaking research, conducted by a team from Cambridge University Press and Microsoft Research, sheds light on how students interact with Large Language Models (LLMs) like GPT-3.5 to enhance comprehension and retention.
💡 Discover key insights, including:
• The comparative benefits of traditional note-taking, LLMs, and hybrid approaches.
• How LLMs facilitate initial understanding and reduce cognitive load.
• The crucial role of act...2025-02-0313 minIvancast PodcastThe New Calculator? Generative AI’s Role in Higher EducationWelcome to another episode of SHIFTERLABS’ current season, where we leverage Google LM to demystify cutting-edge research and studies. This week, we analyze the groundbreaking study, “The New Calculator? Practices, Norms, and Implications of Generative AI in Higher Education” by Microsoft Research, the university of Edinburgh and University College London. Discover how Generative AI is reshaping higher education, empowering students, and challenging traditional norms.
💡 What You’ll Learn:
• The evolving roles of Generative AI tools as tutors, assistants, and ideation partners.
• Ethical and regulatory gaps in the academic landscape.
• Real-world insight...2025-02-0313 minIvancast PodcastUNESCO’s Framework for Generative AI in EducationIn this enlightening episode, we explore UNESCO’s comprehensive framework on the ethical and practical use of generative AI in education and research. This critical document highlights key steps for governments, institutions, and individuals to regulate, integrate, and leverage generative AI while safeguarding human-centric values like inclusion, equity, and cultural diversity.
💡 Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. This episode aligns with our mission to empower learners and educators to thrive in an AI-driven world.
🔍 Dive into strategies for maintaining cognitive engagement...2025-01-2622 minIvancast PodcastMapping the Mind: Predicting Brain States with TransformersIn this groundbreaking episode, we delve into the paper “Predicting Human Brain States with Transformer” by Yifei Sun and collaborators. The research explores the use of transformer architectures—best known for language models like ChatGPT—to predict brain activity based on fMRI data. This innovative study demonstrates how these models can decode and predict human brain dynamics, paving the way for advancements in brain-computer interfaces and the understanding of neurological disorders.
Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode forms part of our mi...2025-01-2611 minIvancast PodcastEl Marco de la UNESCO para la IA Generativa en la EducaciónEn este episodio revelador, exploramos el marco integral de la UNESCO sobre el uso ético y práctico de la IA generativa en la educación e investigación. Este documento crítico destaca pasos clave para que gobiernos, instituciones e individuos regulen, integren y aprovechen la IA generativa, mientras protegen valores centrados en el ser humano como la inclusión, equidad y diversidad cultural.
💡 Aprende cómo SHIFTERLABS está aprovechando Google LM para desmitificar investigaciones de vanguardia, traduciendo conocimientos complejos en aprendizajes accesibles y aplicables. Este episodio forma parte de nuestra misión de empoderar a e...2025-01-2613 minIvancast PodcastEl Futuro del Trabajo 2025: Transformaciones Globales en el Mercado LaboralEn este episodio del podcast de SHIFTERLABS, exploramos el Informe sobre el Futuro del Trabajo 2025 del Foro Económico Mundial. Analizamos cómo los mercados laborales globales se están transformando debido a tendencias como la innovación tecnológica, el cambio climático y los cambios demográficos.
Descubre los roles laborales de mayor crecimiento, el auge de las industrias verdes y basadas en IA, y las habilidades esenciales para prosperar en un mundo en constante evolución.
SHIFTERLABS aprovecha Google LM para desmitificar investigaciones complejas, traduciéndolas en conocimientos prácticos y...2025-01-2622 minIvancast PodcastIntegrating Generative AI in K-12 Education: Insights into Teacher Preparedness, Practices, and BarriersIn this episode, we delve into the findings of a groundbreaking study on how K-12 teachers are navigating the integration of generative AI into education. Drawing from real-world experiences of teachers in Idaho, the study uncovers key insights into their preparedness, current practices, and the barriers they face.
Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode is part of our mission to empower educators, learners, and decision-makers to thrive in an AI-driven world.
🔍 Join us to explore strat...2025-01-2617 minIvancast PodcastThe Future of Jobs 2025: Navigating Global Workforce TransformationsIn this insightful episode of the SHIFTERLABS podcast, we analyze the Future of Jobs Report 2025 by the World Economic Forum. Learn how global labor markets are shifting in response to macrotrends like technological innovation, climate change, and demographic shifts.
Discover the fastest-growing job roles, the rise of green and AI-driven industries, and the essential skills needed to thrive in a rapidly evolving world.
SHIFTERLABS leverages Google LM to demystify complex research, translating it into actionable knowledge. This episode is part of our mission to empower educators, learners, and decision-makers with tools to...2025-01-2649 minIvancast PodcastHarnessing the Fourth Industrial Revolution: A Global PerspectiveIn this episode, we explore the transformative insights from the World Economic Forum’s Centre for the Fourth Industrial Revolution Impact Report (2023-2024). From AI advancements in Malaysia and Rwanda to energy optimization in Azerbaijan, this discussion delves into the powerful synergy between technology and policy for global progress. 🌍
Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode forms part of our mission to empower learners, educators, and decision-makers with the tools to adapt and thrive in an AI-driven world.
...2025-01-2619 minIvancast PodcastUNESCO’s Global AI Competency Framework for Students 🌍🤖In this special bilingual episode, we dive deep into UNESCO’s groundbreaking AI Competency Framework for Students, a global effort to prepare the next generation for the age of AI. With 12 competencies across 4 dimensions—Human-Centered Mindset, AI Ethics, Techniques, and Design—this framework sets the foundation for responsible AI use and co-creation. From fostering critical thinking to promoting inclusivity and sustainability, discover how education can shape ethical AI leaders of tomorrow.
📢 Part of SHIFTERLABS’ ongoing collaboration with Google LM, this episode aims to make academic research accessible to all.
Explore more:
🔗 Essa...2025-01-2628 minIvancast PodcastEl Marco de Competencias de IA de la UNESCO para Estudiantes 🌍🤖En este episodio bilingüe, exploramos en profundidad el innovador Marco de Competencias de IA para Estudiantes de la UNESCO, un esfuerzo global para preparar a la próxima generación en la era de la IA. Con 12 competencias distribuidas en 4 dimensiones—Mentalidad Centrada en el Humano, Ética de la IA, Técnicas y Diseño—este marco establece las bases para el uso responsable y la co-creación de IA. Desde fomentar el pensamiento crítico hasta promover la inclusión y la sostenibilidad, descubre cómo la educación puede moldear líderes éticos en IA para el futuro.
2025-01-2612 minIvancast PodcastEmpowering Educators in the Age of AI: UNESCO’s Competency FrameworkIn this bilingual episode of the SHIFTERLABS podcast, we explore UNESCO’s groundbreaking “AI Competency Framework for Teachers.” This framework is part of SHIFTERLABS’ ongoing work with Google LM to make cutting-edge research and articles accessible to all.
It equips educators with the tools, knowledge, and ethical principles needed to harness AI’s transformative power in the classroom. We analyze the five dimensions of AI competency, strategies for professional growth, and how this global initiative aligns with sustainable education goals. Whether you’re an educator, policymaker, or tech enthusiast, this episode offers valuable insights into the future of teaching...2025-01-2624 minIvancast PodcastEmpoderando a los Educadores en la Era de la IA: El Marco de Competencias de la UNESCOEn este episodio bilingüe del podcast de SHIFTERLABS, exploramos el innovador “Marco de Competencias de la IA para Docentes” de la UNESCO.
Este marco forma parte del trabajo que estamos realizando con Google LM para hacer investigaciones y artículos accesibles a todos. Equipamos a los educadores con herramientas, conocimientos y principios éticos para aprovechar el poder transformador de la IA en el aula. Analizamos las cinco dimensiones de las competencias en IA, estrategias para el desarrollo profesional y cómo esta iniciativa global se alinea con los objetivos de educación sostenible. Ya seas docente, formulado...2025-01-2611 minIvancast PodcastEvaluación de Impacto de la IA: Garantizando un Diseño ResponsableEn este episodio del podcast de SHIFTERLABS, exploramos la innovadora Evaluación de Impacto de la IA (AIIA), una herramienta diseñada para garantizar que la inteligencia artificial se desarrolle y despliegue de manera responsable. Originada en colaboración con el Ministerio de Infraestructura y Gestión del Agua, este marco evalúa el impacto de la IA en los derechos fundamentales, la sostenibilidad y la solidez técnica, alineándose con los estándares más recientes del AI Act.
Descubre cómo SHIFTERLABS utiliza conocimientos como estos, potenciados por Google LM, para hacer que investi...2025-01-2613 minIvancast PodcastBlockchain in Education: A Game-Changer for the Future of LearningIn this episode, we explore UNESCO and the Commonwealth of Learning’s insightful report on blockchain technology’s potential to revolutionize education. As part of SHIFTERLABS’ ongoing collaboration with Google LM, we’re making complex academic research more accessible and actionable.
This discussion highlights how blockchain is driving innovation:
•🌐 Portable and verifiable digital credentials.
•🛡️ Improved data security and student identity management.
•🌳 Human-centered design for equitable and sustainable learning systems.
At SHIFTERLABS, we aim to bridge cutting-edge technology with education, empowering students, educators, and institutions worldwide. This...2025-01-2616 minIvancast PodcastAI and Critical Thinking: Navigating the Cognitive Offloading DilemmaIn this enlightening episode of the SHIFTERLABS podcast, we dive into groundbreaking research titled “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking” by Michael Gerlich. This study uncovers how our increasing reliance on AI tools influences critical thinking skills and cognitive engagement. We’ll explore the fascinating dynamics of cognitive offloading, the “Google effect,” and the dual-edged role of AI in shaping our cognitive abilities.
Learn how SHIFTERLABS is leveraging Google LM to demystify cutting-edge research, translating complex academic insights into accessible and actionable knowledge. This episode forms part of our miss...2025-01-2112 minIvancast PodcastAI Tutors Outperform Active Learning: A Revolution in EducationIn this episode of the SHIFTERLABS podcast, we delve into the groundbreaking research from Harvard University that compares the effectiveness of AI-powered tutors against active learning classrooms. The findings? Students using AI tutors learn over twice as much in less time, feeling more engaged and motivated in the process.
Discover how SHIFTERLABS leverages projects like Google LM to demystify cutting-edge research and translate it into digestible knowledge for educators, learners, and decision-makers alike. We aim to position ourselves as leaders in EdTech and AI innovation, demonstrating how tailored solutions can transform classrooms globally.
...2025-01-2119 minIvancast PodcastDeepSeek-R1: Accelerating the Age of Reason in Large Language ModelsIn this episode of the SHIFTERLABS Podcast, we explore the revolutionary advancements of DeepSeek-R1 and DeepSeek-R1-Zero—open-source reasoning models redefining AI capabilities through large-scale reinforcement learning. Rivaling closed-source giants like OpenAI, these models excel in STEM, coding, and reasoning-intensive tasks, setting new benchmarks in innovation and accessibility.
This podcast is part of the ongoing Google LM project, an initiative that simplifies cutting-edge research, translating academic papers and articles into digestible knowledge to empower learners, educators, and decision-makers. This podcast is part of our mission to demystify AI, making it accessible and actionable for all.
...2025-01-2118 minIvancast PodcastThe Future of Education: Exploring AI’s Role in Data-Driven LearningIn this thought-provoking episode, SHIFTERLABS dives into groundbreaking insights from the latest research in educational technology and artificial intelligence, based on the findings of this comprehensive report. Together, we uncover how AI is reshaping the landscape of data-driven learning, enabling more efficient, personalized, and equitable education systems worldwide.
From the ethical implications of algorithmic decision-making to practical applications of AI in educational planning and assessment, this episode breaks down complex topics into actionable insights for educators, policymakers, and institutions.
We’ll also explore how SHIFTERLABS’ ongoing Google LM project is helping demyst...2025-01-1926 minIvancast PodcastAI and the Disinformation Crisis: Navigating the New FrontierAs Ecuador’s leading EdTech innovator, SHIFTERLABS brings you this critical AI-generated episode to explore the alarming implications of artificial intelligence in the disinformation landscape. Based on insights from the Centre for Long-Term Resilience’s recent report, we uncover how AI empowers malicious actors to create convincing deepfakes, deploy persuasive bots, and exploit societal vulnerabilities at an unprecedented scale.
Dive into the mechanics of AI-driven disinformation campaigns, from hyper-tailored content and deepfake technology to the role of low-cost tools enabling fringe groups to shape narratives. Learn how these challenges are not just technical but also ethic...2025-01-1921 minIvancast PodcastChatGPT as a teachable agent in programming educationAs Ecuador’s premier EdTech thought leader, SHIFTERLABS is committed to delivering cutting-edge insights into the transformative potential of AI in education. In this AI-generated episode—crafted in collaboration with leading research from Peking University and East China Normal University—we delve into the revolutionary integration of ChatGPT as a teachable agent in programming education.
Discover how ChatGPT enhances the “learning by teaching” approach, empowering students to strengthen programming skills, deepen knowledge, and foster self-regulated learning abilities. This episode explores its role in tackling complex challenges like the “Eight Queens” puzzle, the impact on code readability and...2025-01-1913 minIvancast PodcastAI in Education: Paving the Way for Ibero-America’s Digital TransformationDive into the transformative potential of Artificial Intelligence (AI) in education across Ibero-America. In this episode, we explore the latest insights from the Organization of Ibero-American States’ comprehensive report on integrating AI into education. Discover how AI can bridge historical educational gaps, foster inclusive learning, and promote cultural diversity while addressing challenges such as ethical dilemmas and digital inequality. Join us as we discuss actionable recommendations for educators, institutions, and policymakers to responsibly harness AI’s power.
This podcast is proudly part of ShifterLabs’ ongoing initiative to democratize access to high-level research, making cutting-edge educational and AI...2025-01-1918 minIvancast PodcastDigital Gaps in EducationIn this episode, ShifterLabs, the premier EdTech thought leader in Ecuador, delves into the findings of the Fundación Cotec’s report on digital gaps in education post-COVID-19. We explore key insights from the PISA data comparing 2018 to 2022, the impact of remote learning on educational inequality, and how prepared schools and students are for potential future closures. Discover how digitalization, though advancing, still reveals stark inequities across socioeconomic levels and regions.
This podcast, AI-generated as part of our ongoing project experimenting with Google LM, showcases our commitment to democratizing knowledge and bringing high-level, verified insights dire...2025-01-1919 minIvancast PodcastAI Impact Assessment: A Roadmap to Responsible AI DevelopmentShifterLabs, the leading EdTech company in Ecuador, proudly presents the latest advancements in ethical AI development. In this episode, we explore the AI Impact Assessment (AIIA)—a powerful framework for ensuring responsible and ethical AI integration. Developed with insights from the Ministry of Infrastructure and Water Management, this tool helps organizations navigate the complexities of AI deployment, from risk assessment to accountability and transparency.
Discover how the AIIA addresses fundamental rights, sustainability, bias mitigation, and data governance to shape an AI-driven future that prioritizes societal well-being and environmental stewardship. This episode is part of our ong...2025-01-1916 minIvancast Podcast10 Years of Replication in Education: What Have We Learned?In this AI-generated podcast, we delve into a fascinating decade-long analysis of replication studies in education (2011–2020). How reliable is the scientific foundation of educational practices? This episode uncovers the challenges, advancements, and the persistent gaps in replication research within the field. Drawing insights from trusted and verified sources, we bring you the latest on what it takes to create robust, trustworthy evidence for educational policy and practice.
SHIFTERLABS, Ecuador’s leading EdTech company, is committed to delivering cutting-edge knowledge and fostering innovation in education. Join us in this exploration of how replication is reshaping the way w...2025-01-1917 minIvancast PodcastThe AI Scientist: Revolutionizing Scientific Discovery with Machine LearningStep into the future of scientific discovery with ShifterLabs, Ecuador’s leading EdTech company. In this episode, we explore “The AI Scientist,” a groundbreaking framework that automates the entire scientific research process using advanced AI models. From generating innovative research ideas to executing experiments, writing scientific papers, and even conducting peer reviews—this transformative technology promises to democratize research and accelerate scientific breakthroughs like never before.
This podcast is part of our ongoing project to bring high-level research and advancements to our listeners, showcasing the forefront of AI innovation. Proudly experimenting with Google LM, ShifterLabs continues...2025-01-1919 minIvancast PodcastDecoding the Turing Test: Are AIs More Human Than Humans?Join us on this fascinating podcast episode where we explore the groundbreaking study “GPT-4 is judged more human than humans in displaced and inverted Turing tests” by researchers from UC San Diego. This paper dives deep into how advanced AI systems, like GPT-4, challenge our ability to distinguish between machine and human interactions in online settings.
Discover:
•Why AI is often perceived as more “human” than real humans in Turing tests.
•The implications of AI’s evolving role in communication and deception.
•The urgent need for better AI-detection tools in a rapidly digi...2025-01-1914 minIvancast PodcastAgents: The Next Frontier of Generative AIAs Ecuador’s leading EdTech company, SHIFTERLABS is dedicated to delivering the latest, thoroughly verified breakthroughs in AI and education. In this AI-generated episode—part of our ongoing exploration with Google LM—we dive into the transformative power of AI agents. Discover how these next-generation systems outperform traditional generative AI by integrating advanced reasoning, cutting-edge tools, and sophisticated orchestration layers to autonomously tackle complex challenges.
From revolutionary frameworks like ReAct and Chain-of-Thought, to leveraging external resources such as Extensions and Data Stores, this episode takes you straight to the frontier of AI innovation. At SHIFTERLABS, we stay...2025-01-1927 minIvancast PodcastScaling AI: Unlocking the Hidden Power of Data and ComputeIn this SHIFTERLABS Podcast episode, part of our ongoing experiment to demystify AI research through Google Notebook LM, we unpack The Unreasonable Effectiveness of Data and Compute in AI, a fascinating exploration of the scaling hypothesis in artificial intelligence.
Using OpenAI’s GPT-3 as a prime example, we delve into how simply increasing the size of neural networks and the amount of training data can lead to unexpected emergent capabilities, like meta-learning. Why has the AI community underestimated the transformative potential of scaling? What are the risks and rewards of this approach? And could scaling unl...2024-12-2317 minIvancast PodcastBuilding the Future: LeCun’s Vision for Autonomous Machine IntelligenceIn this episode of the SHIFTERLABS Podcast, part of our ongoing mission to make groundbreaking research accessible through the power of Google Notebook LM, we explore Yann LeCun’s visionary position paper, A Path Towards Autonomous Machine Intelligence.
Dive into the architecture and training paradigms that aim to make machines learn and reason like humans and animals. From predictive world models and hierarchical planning to the revolutionary concept of intrinsic motivation driving intelligent behavior, we unravel the ideas shaping the next frontier of AI. How do we move from reactive systems to true autonomy? What are...2024-12-2323 minIvancast PodcastAI Meets Humanity: Simulating 1,000 Lives for Social Science BreakthroughsIn this SHIFTERLABS Podcast episode, part of our ongoing experiment to make groundbreaking research accessible using Google Notebook LM, we explore the fascinating world of generative agent simulations.
Dive into the innovative study that created generative agents to replicate the behaviors and attitudes of over 1,000 real individuals using detailed interviews. These AI-powered agents achieved impressive accuracy, predicting responses to surveys and experiments as well as the participants themselves. Learn how this technology redefines social science research, enabling simulations of public policy impacts, human decision-making, and collective behaviors on an unprecedented scale.
Th...2024-12-2319 minIvancast PodcastEnsemble Intelligence: Revolutionizing LLM Reliability with Model ConsensusIn this SHIFTERLABS Podcast episode, part of our ongoing experiment to transform cutting-edge research into accessible insights using Google Notebook LM, we explore a novel approach to enhancing the reliability of Large Language Models (LLMs).
Based on the groundbreaking paper Probabilistic Consensus through Ensemble Validation, this episode dives into how ensemble methods are repurposed to improve content validation in high-stakes domains like healthcare, law, and finance. Learn how leveraging multiple independent models for consensus validation boosts precision from 73.1% to an impressive 95.6%—a crucial step toward making autonomous AI systems dependable.
We brea...2024-12-2317 minIvancast PodcastPhysics of AI: Unlocking the Laws Behind Next-Token PredictionWelcome to another episode of the SHIFTERLABS Podcast, where we transform cutting-edge research into accessible insights using Google Notebook LM. This time, we explore the fascinating intersection of physics and AI through the groundbreaking paper Physics in Next-Token Prediction.
What if intelligence in auto-regressive models like ChatGPT was simply a transfer of information governed by physical laws? Discover the First and Second Laws of Information Capacity, which reveal how data compression, entropy, and energy consumption shape the emergence of intelligence. We’ll also dive into the practical implications of these laws, from optimizing AI training to...2024-12-2317 minIvancast PodcastDecoding AI Growth: Scaling Laws That Shape the Future of Neural Language ModelsIn this SHIFTERLABS Podcast episode, part of our ongoing experiment using Google Notebook LM to turn complex research into accessible audio content, we explore one of the most influential papers in AI development: Scaling Laws for Neural Language Models.
This groundbreaking research reveals the power-law relationships governing the performance of language models as they scale in size, data, and compute. From optimizing compute budgets to understanding why “bigger is better” when it comes to AI models, this episode demystifies the intricate dance of parameters, datasets, and training dynamics. Discover how these scaling laws underpin advancements in AI...2024-12-2316 minIvancast PodcastActions Speak Louder: Generative AI’s Leap into Recommendation SystemsIn this episode of the SHIFTERLABS Podcast, part of our ongoing experiment to transform academic papers into accessible audio content using Google Notebook LM, we explore how generative AI is reshaping the recommendation landscape.
Join us as we dive into Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations, an innovative approach that pushes past traditional recommendation systems. Discover how Meta AI’s Hierarchical Sequential Transduction Unit (HSTU) is revolutionizing recommendations with its trillion-parameter generative models, achieving groundbreaking scalability and efficiency. From tackling real-world challenges like sparse data to redefining the role of use...2024-12-2312 minIvancast PodcastRevolutionizing Recommendations: The Power of Monolith’s Collisionless Embedding TablesAs part of the SHIFTERLABS Podcast project, where we turn scientific papers and articles into accessible, digestible audio content using Google Notebook LM, this episode demystifies cutting-edge AI innovations for a wider audience.
In this installment, we unpack Monolith, a groundbreaking real-time recommendation system developed by ByteDance. Explore how Monolith addresses the challenges of sparse and dynamic data, concept drift, and the need for scalable, real-time systems. Learn about its revolutionary collisionless embedding table, memory-efficient designs, and fault-tolerant online training mechanisms that ensure high-performance recommendations. Whether you’re an AI enthusiast or a curious learner, thi...2024-12-2322 minIvancast PodcastGen Z and AI: Navigating the Future of Work and LearningThis episode is part of SHIFTERLABS Podcast’s ongoing project to turn insightful articles and papers into digestible audio formats, leveraging Google Notebook LM. Our goal? To make AI more accessible, comprehensive, and to demystify its complexities for everyone.
In this installment, we delve into EY’s groundbreaking report on how Generation Z engages with AI and its transformative potential in education and the workplace. From understanding and using AI effectively to navigating ethical challenges and closing the skills gap, we break down the key findings. What does Gen Z expect from AI? What are the r...2024-12-2315 minIvancast PodcastAI and Art: Ethics, Creativity, and Redefining the Role of the ArtistHow is artificial intelligence reshaping the world of art, and what does this mean for artists, creativity, and ethics? In this thought-provoking episode, we navigate the intersection of traditional and AI-generated art, exploring the anxieties, challenges, and opportunities arising from this rapidly evolving frontier.
As an educator, musician, podcaster, and digital artist living in the heart of the Amazon rainforest, I bring a unique perspective to this discussion, blending my passion for technology and art with a deep connection to nature. Together, we’ll examine the ethical dilemmas, economic shifts, and emotional reactions sparked by AI’...2024-11-2409 minIvancast PodcastThe Technological Singularity, AGI Predictions, and Humanity’s Post-Singularity Future: Reflections on Progress and ParadoxesStep into a pivotal moment in the journey of ShifterLabs with a special episode, originally released in March 2023, where the dream of building a transformative educational movement in the Amazon rainforest truly began. This was not just another podcast—it was a deeply personal reflection on the profound implications of Artificial General Intelligence (AGI) and the potential arrival of a technological singularity at some point in the future.
In this episode, I explored the macroeconomic, societal, and psychological shifts AGI may bring, from technological advancements like the Kardashev scale to predictions about abundance, human adaptation, and...2024-11-2415 minIvancast PodcastAGI, Universal Basic Income and the Future of WorkHow will Artificial General Intelligence (AGI) reshape our economy and society? In this episode, we explore the transformative impact of AGI on the future of work, the rise of a post-labor economy, and the critical role of Universal Basic Income (UBI) in addressing widespread unemployment.
With insights from a guest expert in public policy, we delve into the economic challenges and potential solutions for a society adapting to AGI. We discuss which professions may thrive in a post-labor world and emphasize the enduring value of human creativity, empathy, and emotional intelligence. This thought-provoking conversation envisions a...2024-11-2416 minIvancast PodcastScience Supercharged: How AI Transforms R&DJoin SHIFTERLABS’ innovative podcast series, part of our ongoing experiment with Notebook LM, as we delve into “AI in Materials Science: Transforming Discovery and Innovation,” a comprehensive study by MIT researcher Aidan Toner-Rodgers. This groundbreaking paper explores the profound impact of artificial intelligence on scientific discovery, particularly in materials science R&D. The study reveals that the adoption of AI tools led to a 44% increase in new material discoveries and a 39% rise in patent filings, showcasing how AI not only accelerates research but also boosts the novelty and quality of scientific inventions.
We discuss the dual na...2024-11-0713 minIvancast PodcastThe Unseen Bias: Ideology in Large Language ModelsDive into SHIFTERLABS’ latest podcast episode, created as part of our experiment with Notebook LM. This time, we explore “Large Language Models Reflect the Ideology of Their Creators,” a compelling study conducted by researchers from Ghent University and the Public University of Navarre. This groundbreaking research uncovers how large language models (LLMs), essential in modern AI applications like chatbots and search engines, reflect ideological biases rooted in their design and training processes.
The study analyzes 17 popular LLMs across English and Chinese prompts, revealing fascinating differences in ideological positions depending on the language and origin of the mod...2024-11-0714 minIvancast PodcastThe Science Behind LLMs: Training, Tuning, and BeyondWelcome to SHIFTERLABS’ cutting-edge podcast series, an experiment powered by Notebook LM. In this episode, we delve into “Understanding LLMs: A Comprehensive Overview from Training to Inference,” an insightful review by researchers from Shaanxi Normal University and Northwestern Polytechnical University. This paper outlines the critical advancements in Large Language Models (LLMs), from foundational training techniques to efficient inference strategies.
Join us as we explore the paper’s analysis of pivotal elements, including the evolution from early neural language models to today’s transformer-based giants like GPT. We unpack detailed sections on data preparation, preprocessing methods, and archite...2024-11-0714 minIvancast PodcastAI Tutors vs. Active Learning: The Unexpected WinnerIn SHIFTERLABS’ latest podcast episode, created as part of our experiment with Notebook LM, we dive into groundbreaking research from Harvard University titled “AI Tutoring Outperforms Active Learning.” This study reveals that AI-powered tutoring systems can significantly boost learning outcomes in college-level STEM education, outperforming even active learning classrooms. Conducted in one of Harvard’s largest physics courses, the study shows that students using AI tutors learned more than twice as much in less time compared to traditional classroom settings. Notably, students also reported feeling more engaged and motivated during AI-assisted sessions.
We explore the core find...2024-11-0710 minIvancast PodcastPeering Into the Black Box: The Rise of Representation EngineeringJoin us in SHIFTERLABS’ latest experimental podcast series powered by Notebook LM, where we bridge research and conversation to illuminate groundbreaking ideas in AI. In this episode, we dive into “Representation Engineering: A Top-Down Approach to AI Transparency,” an insightful paper from the Center for AI Safety, Carnegie Mellon University, Stanford, and other leading institutions. This research redefines how we view transparency in deep learning by shifting the focus from neurons and circuits to high-level representations.
Discover how Representation Engineering (RepE) introduces new methods for reading and controlling cognitive processes in AI models, offering innovative solutio...2024-11-0737 minIvancast PodcastCan AI Predict Human Behavior? Exploring Social Science with GPT-4In this exciting episode, part of SHIFTERLABS' experiment in transforming scientific research into engaging podcasts, our virtual hosts dive into groundbreaking research from Stanford University and New York University. The study investigates whether large language models, such as GPT-4, can accurately predict the outcomes of social science experiments.
With over 70 nationally representative survey experiments and 476 experimental treatment effects analyzed, this episode unpacks how AI, for the first time, rivals human forecasters in predicting behavioral outcomes. We discuss key findings, like GPT-4’s ability to predict responses across various demographics, disciplines, and even unpublished studies that fall outside it...2024-10-2109 minIvancast PodcastAI in the Classroom: A Double-Edged Sword for Learning?As part of SHIFTERLABS' ongoing experiment in creating AI-driven podcast content, this episode explores groundbreaking research from the University of Pennsylvania on how generative AI, like GPT-4, affects student learning. Our virtual hosts delve into the surprising findings from a large-scale study that examines both the benefits and risks of using AI tools in high school math classes.
Can AI improve performance, or does it become a crutch that hinders long-term skill development? Tune in to discover how SHIFTERLABS is reshaping AI literacy by translating cutting-edge research into engaging and accessible content for all.
2024-10-2109 minIvancast PodcastAI in the Classroom: Revolutionizing Education or Risking Privacy?In this episode, we explore UNESCO's groundbreaking guidance on generative AI and its transformative role in education and research. Join our virtual hosts as they dive into the ethical considerations, policy frameworks, and the profound impact of AI-driven technologies on learning, teaching, and the future of knowledge. Tune in to understand how generative AI can foster inclusion, equity, and innovation while addressing challenges such as data privacy and digital equity. Whether you're an educator, student, or AI enthusiast, this episode provides essential insights for navigating AI's rapidly evolving landscape in education.
This episode is part o...2024-10-2116 minIvancast PodcastThe New Classroom Paradigm: AI, Innovation, and the Future of LearningAccelerating the Future: AI’s Role in Transforming Education and Learning
Welcome to an experimental deep dive into the future of education, where technology, creativity, and AI converge. In this special episode, we explore the rapid acceleration of content creation—where six podcasts were crafted in a single day, three visionary articles written, and this podcast brought to life within the last 24 hours. At SHIFTERLABS, we aren’t claiming to have all the answers, but we’re here to show you where the winds of change are heading.
Drawing from three groundbreaking articles—on the Inte...2024-10-1520 minIvancast PodcastCloser to an AI Doctor: The Future of Medicine and AIWelcome to the 100th episode of the IVANCAST Podcast! In this special milestone, the SHIFTERLABS experiment continues, where two AI hosts explain complex scientific papers using Google’s Notebook LM. This episode focuses on the groundbreaking study, “A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?”, exploring how AI models like o1 are transforming medicine by improving diagnostic accuracy and reasoning. This experiment demonstrates how scientific papers can now be made accessible to everyone—a significant step in democratizing education and AI literacy. As IVANCAST reaches this 100-episode mark, it reflects on how it started...2024-10-1409 minIvancast PodcastMaking AI Smarter: How External Data Transforms Language ModelsWelcome to Part V of the SHIFTERLABS experiment on the IVANCAST Podcast! In this episode, we explore the fascinating world of “Retrieval Augmented Generation (RAG)”, diving into how external data makes large language models (LLMs) smarter, more accurate, and capable of answering complex real-world questions. Two AI hosts, powered by Google’s Notebook LM, explain this powerful method of integrating external data with AI to minimize errors and expand knowledge. This experiment aims to bring complex AI topics closer to everyday people, showcasing how these advancements are set to revolutionize education. Through SHIFTERLABS, we are working to democratize AI litera...2024-10-1411 minIvancast PodcastLogic in AI: How Large Language Models Can Reason SmarterWelcome to Part IV of the SHIFTERLABS experiment on the IVANCAST Podcast! In this episode, we continue exploring how AI transforms education and everyday understanding, focusing on the paper “Logic-of-Thought”. Join us as two AI hosts, powered by Google’s Notebook LM, dive deep into how injecting logical reasoning into Large Language Models enhances their ability to reason through complex tasks. This episode is part of our ongoing experiment to bring AI literacy to everyone—making complex concepts easy to understand and demonstrating how AI is set to revolutionize education. SHIFTERLABS aims to make the power of AI accessible to all...2024-10-1411 minIvancast PodcastSmall Yet Mighty: The Rise of Small Language Models in AIWelcome to Part III of our SHIFTERLABS experiment on the IVANCAST Podcast! In this episode, we continue testing Google’s Notebook LM, this time focusing on a comprehensive survey of “Small Language Models”. Two AI hosts discuss the advancements, applications, and real-world impacts of smaller, more efficient language models (SLMs) that are changing the AI landscape by making machine intelligence more accessible. Tune in to discover how SLMs are revolutionizing smart devices, wearables, and mobile technologies, while also exploring the technical innovations behind their success. Join us for this fascinating conversation as we push the boundaries of AI-driven podcasting!
...2024-10-1410 minIvancast PodcastCan AI Really Plan? Evaluating Large Language Models and Reasoning ModelsWelcome back to IVANCAST Podcast! In this special continuation of our SHIFTERLABS experiment with Google’s Notebook LM, we dive into Part II, focusing on the paper “LLMs Still Can’t Plan; Can LRMs?”. In this episode, two AI hosts analyze how well Large Language Models (LLMs) and the newer Large Reasoning Models (LRMs) handle planning tasks, shedding light on the strengths and limitations of AI in tackling real-world problems. Join us as we explore whether AI can truly plan, and what this means for the future of artificial intelligence. Don’t miss this insightful conversation generated by cutting-edge AI technol...2024-10-1408 minIvancast PodcastThe Power of Attention: How Transformers Revolutionized AIWelcome to this special episode of ShifterLabs' IVANCAST PODCAST, where we explore cutting-edge AI concepts with a fresh experiment from SHIFTERLABS. In this unique series, we’re testing Google’s Notebook LM to generate a conversation between two AI hosts, based on the groundbreaking paper “Attention is All You Need”. This episode marks Part I of the experiment, where we unpack how the revolutionary Transformer model, driven entirely by attention mechanisms, has reshaped the landscape of artificial intelligence. Whether you’re new to AI or an enthusiast, this experiment will give you insights into one of the most impactful advancemen...2024-10-1409 minIvancast PodcastAI Hosts Unfold the Future: A Deep Dive into the GPT-o1 ModelImagine two cutting-edge AIs diving deep into one of the most exciting topics in artificial intelligence. That’s exactly what happens in this groundbreaking podcast episode!
In this special episode, we explore “The Unfolding Potential of AI: Reflections on the GPT-O1 Model and Beyond”, an article authored by Ivan Idrovo G., who breaks down the latest advancements of the GPT-O1 model. But here’s the twist: this episode is created entirely by AI. Using Google’s NotebookLM, Ivan turned his article into an insightful, thought-provoking discussion between two AI hosts, who analyze and debate the implications of GPT-O1 in...2024-09-1507 minIvancast PodcastEconomía Post-Laboral: AGI, El Futuro del Trabajo, Renta Básica Universal con Nicolas Márquez García | Ep. 93En este segmente del capítulo #6, exploramos los cambios que una Inteligencia Artificial General (siglas en inglés - AGI) traería a la economía global y cómo nos podemos preparar para una era post-laboral.
Junto a Nicolás Márquez García, colombiano experto en políticas públicas y transformación digital, profundizamos en temas como la Renta Básica Universal (siglas en inglés - UBI), la automatización del trabajo, y las nuevas formas de empleo que emergerán en este nuevo panorama.
Desde la transición gradua...2024-06-171h 15Ivancast PodcastDr. Luis Sanchez Crespo: Ciberseguridad, AGI, Educación, Sociedad 4.0 | El Reloj De La SingularidadEl Dr. Luis Enrique Sanchez Crespo es un investigador, docente de la Universidad de Castilla-La Mancha y emprendedor experto en ciberseguridad. En este episodio, abordamos temas como la seguridad cibernética, la investigación colaborativa, el futuro de la educación (tecnológica) y los retos y oportunidades que la tecnología moderna presenta para la sociedad. Descubre cómo la interacción entre ciencia y tecnología está configurando un nuevo paradigma para nuestra coexistencia global y qué podemos hacer para asegurar un progreso responsable y seguro.
Si desean conocer más sobre mi trabajo y pr...2024-04-251h 14Ivancast PodcastUFO: Pushing Boundaries in Contemporary Music - A Symphony of Collaboration, Creativity, and Musical Exploration | Ep. 91🎶 Dive into the musical journey of UFO, an innovatively structured concept band from Switzerland formed in 2011 by Michael Anklin and Lukas Huber. Now featuring Robert Torche, this dynamic group has graced over 300 stages, collaborated with 100+ guest musicians and artists, and released two LPs under Everest Records and A Tree in a Field Records. Their diverse portfolio includes a unique composition with Ensemble Phoenix Basel, an intriguing video project, and the orchestration of the "Schlägerei mit anschliessender Diskussion" concert series across various Swiss cities. 🎤
In this episode, we delve into technology and the future of music, exploring its evol...2023-08-1343 minIvancast PodcastPsiquiatría Computacional y Neurociencia con el Dr. Guillermo Cecchi (IBM Research)En este episodio de 'El Reloj de la Singularidad', exploramos la fascinante intersección de la neurociencia, la psiquiatría computacional y la inteligencia artificial con el Dr. Guillermo Cecchi, Director de Psiquiatría Computacional y Neuroimágenes en el Centro de Investigación Thomas J. Watson, de IBM Research y líder en el uso de la lingüística computacional para cuantificar condiciones psiquiátricas.
Pueden ver la conversación en Youtube: https://www.youtube.com/watch?v=UqnyFHrKb48&t=135s
Más información sobre el trabajo del Dr. Cecchi: https...2023-06-191h 19Ivancast PodcastGPT-4 & Midjourney V5.1: Moldeando el Futuro Visual con Imágenes Sintéticas | Ivancast Podcast #89🚀 ¡BIENVENIDOS a un NUEVO episodio del Reloj de la Singularidad! 🚀 Estamos de regreso en el 2023 para seguir explorando la increíble intersección entre la inteligencia artificial y la creatividad humana.
La serie completa está disponible en formato video-presentación en YouTube. Si desean visualizar y escuchar, pueden hacerlo en mi canal de YouTube: https://www.youtube.com/@ivanidrovog.5455/videos
🤖 ¡Esta video-presentación es más que un tutorial, no te la puedes perder!
💥 🔥 En este capítulo IMPERDIBLE, nos adentramos en un viaje fascinante en el que experimentaremos con he...2023-06-031h 48Ivancast PodcastArte en la Encrucijada: Inteligencia Artificial, Ética y el Futuro de la Creatividad | Ivancast Podcast #88¡Hola a todos! Bienvenidos a un nuevo episodio de 'El Reloj de la Singularidad'. En esta ocasión, nos zambullimos en el apasionante debate entre el mundo del arte tradicional y el emergente campo del arte generado por Inteligencia Artificial (IA).
La serie completa está disponible en formato video-presentación en YouTube. Si desean visualizar y escuchar, pueden hacerlo en mi canal de YouTube: https://www.youtube.com/@ivanidrovog.5455/videos
Mi nombre es Iván, un entusiasta de la música y la tecnología, educador, podcaster, artista y futurista viviendo en plena...2023-06-031h 30Ivancast PodcastMás Allá de la Singularidad: El Reloj del Futuro | Ivancast Podcast #87¡Hola a todos! Bienvenidos al estreno de la nueva serie en Ivancast Podcast: El Reloj de la Singularidad. En este espacio nos acompañarán no sólo músicos, bandas y artistas de diversas partes del mundo, sino también científicos, investigadores, filósofos, poetas y demás pensadores. Juntos, exploraremos la intersección de la Inteligencia Artificial con la creatividad humana.
La serie completa está disponible en formato video-presentación en YouTube. Si desean visualizar y escuchar, pueden hacerlo en mi canal de YouTube: https://www.youtube.com/@ivanidrovog.5455/videos
En este episo...2023-06-032h 07Ivancast PodcastIvancast Podcast w/ Patricio Bonilla | Season 5 Ep. 1Patricio bonilla es un trombonista, compositor, arreglista y productor musical de la República Dominicana.
Ha trabajado con artistas de la talla de Alejandro Sanz, Arturo Sandoval, Chichí Peralta, Vicente García, Gilberto Santa Rosa, Milly Quezada, entre otros. Actualmente es director, arreglista y productor de su Proyecto @labandamusic e integrante de Juan Luis Guerra y los 440 con quien lleva más de 20 años de carrera.
Que disfruten de la nueva temporada, gracias por escuchar y suscribirse al podcast! Si les gusta el podcast y quieren apoyarlo, compartan su episodio favorito con sus amigo...2023-03-3040 minIvancast PodcastINTELIGENCIA ARTIFICIAL Y EL FUTURO DE LA MUSICA Y EL ARTE (el último podcast del año)Pongo a prueba la inteligencia artificial para producir el último podcast del año. Les deseo un excelente 2023, nos escuchamos el próximo año con el estreno de la nueva temporada.
Gracias por escuchar y suscribirse al podcast!
Rock on gang!
Ivancast Podcast
2022-12-3134 minIvancast PodcastIvancast Podcast w/ Peter Matson (Underground System) | Season 4 Ep. 8Peter Matson is a Dj, producer and front man of Brooklyn's live band Underground System. Enjoy the conversation and suscribe for free on your favorite podcasts app.
https://linktr.ee/ivancastpodcast
2022-10-0943 minIvancast PodcastIvancast Podcast w/ MERESHA (en español) | Season 4 Ep. 7Meresha llama al show para cantar en vivo y practicar su español hablando de aliens, viajes espaciales, su tour en USA y más.
2022-09-0456 minIvancast PodcastIvancast Podcast w/ My Bass Guitar (Aniversario 3) | Season 4 Ep. 6En este episodio me siento a "jammear" con mi bass guitar para celebrar el cumpleaños #3 del podcast :) El podcast se salió de control y desde el minuto 39 hasta me pongo a cantar :D
Me and my bass guitar losing it on this episode :D
Gracias por escuchar y suscribirse al podcast!
Todo mi arte digital lo encuentran aquí: @ivancast_podcast
2022-08-231h 06Ivancast PodcastIvancast Podcast w/ Hiroshi Ebina | Season 4 Ep. 5Hiroshi Ebina is a Japanese sound artist creating incredible electronic and ambient sounds.
Make sure to check out his wonderful art: hiroshiebina
Check out all my digital art: Ivancast Podcast
Thanks for listening and subscribing to the podcast!
2022-07-2649 minIvancast PodcastIvancast Podcast w/ Edgar Castellanos (Niebla, Mamá Vudú) | Season 4 Ep. 4Edgar Castellanos es un músico, compositor, productor y diseñador gráfico ecuatoriano, fundador de la legendaria banda Mamá Vudú.
Descubran sus proyectos y escuchen su música: Edgar Castellanos
Gracias por escuchar y suscribirse al podcast!
Ivancast Podcast
2022-06-251h 09Ivancast PodcastIvancast Podcast w/ Chloe Yu Nong Lin | Season 4 Ep. 3Chloe is an artist from Taiwan who plays the PIPA, a traditional Chinese instrument. She calls in to talk about her debut album Pi Sound which is a combination of acoustic improvisation and electronic sounds. We also talked about her audio-visual performances and more.
Make sure to check out her music and subscribe to the podcast for free.
Thanks for listening!
https://linktr.ee/ivancastpodcast
2022-05-2946 minIvancast PodcastIvancast Podcast w/ The Lonely Spaces | Season 4 Ep.2En este episodio me siento a conversar con David De la Rosa, cantante, compositor y guitarrista de The Lonely Spaces. The Lonely Spaces es una banda de rock psicodélico de Guadalajara, Jalisco, México.
Escuchen su música aquí: https://linktr.ee/thelonelyspaces
Gracias por escuchar y suscribirse al podcast en su app de podcasts favorito.
INSTAGRAM: Ivancast Podcast IG
2022-05-1934 minIvancast PodcastTop 20 albums del 2021 | Season 4 Ep. 1Hola mundo podcast! estoy de vuelta para estrenar la nueva temporada del podcast con los 20 mejores albums del 2021! Si ya están cansados de escuchar la misma música de siempre, aquí les traigo una selección de lo mejor del 2021. Enjoy :)
PD. El sonido en el fondo, especialmente al inicio, es la lluvia de la Amazonía.
La playlist en Spotify de los mejores albums del 2021 la encuentran aquí:
https://open.spotify.com/playlist/3Ctn7mTjTf5QhIUUnRxHky?si=9759f19ed84048ca
Mi canal en YouTube: https://youtu.be/3qg4Vc3ww1s
...2022-04-2540 minIvancast PodcastIvancast Podcast w/ KUTIMANGOES | Season 3 Ep. 76 6-piece Afro-Jazz band and 12 times Danish Grammy Award nominee & 3 times winner Kutimangoes are on the show this week! Enjoy the podcast and subscribe for free on your favorite podcasts app!
Thanks for listening!
2021-12-1941 minIvancast PodcastIvancast Podcast w/ LEO MASS | Season 3 Ep. 75En este episodio me siento a conversar con Leonardo Macias Huerta a.k.a. LEO MASS desde mi estudio de podcasting en la Amazonia.
Leo Mass es un músico, cantante y compositor nacido en Guayaquil - Ecuador con una trayectoria musical de más de 30 años.
Gracias por escuchar y suscribirse al podcast!
Síganme en Instagram para ver las fotos del día de la grabación :-) https://www.instagram.com/ivancast_podcast/
2021-11-261h 35Ivancast PodcastIvancast Podcast w/ Fryturama | Season 3 Ep. 74Fryturama es un Dúo de Noise, Shoegaze, Dream Pop y Grunge de Guadalajara y Ciudad de México. Integrado por Fryda Magaña (voz, delays y loops) y Arturo Tranquilino en las (guitarras y sintetizadores).
Gracias por escuchar y suscribirse al podcast en su app preferida de podcasts.
https://www.instagram.com/ivancast_podcast/
2021-11-1447 minIvancast PodcastIvancast Podcast w/ MERESHA | Season 3 Ep. 73Berlin-based Meresha is a creator, performer, singer, multi-instrumentalist, DJ and producer also known as #AlienPop innovator. Enjoy the conversation, thanks for listening!
Follow Meresha on IG @mereshas
2021-10-3148 min