🚀 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 transf…

In 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 de…

How 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 ex…

In 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…

In 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’ …

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…

How 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 Ba…

In 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 de…

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 …

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 …

In 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…

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—red…

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 …

🎙️ 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 ho…

Welcome 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…

In 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, e…

In 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 a…

En 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 …

En 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, …

In 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 leveragi…

In 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…

In 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 h…

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-creat…

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…

In 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…

En 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 p…

En 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 I…

In 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:…

In 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 th…

In 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 SHIFTERLA…

In 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 benchm…

In 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 edu…

As 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, depl…

As 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…

Dive 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 promot…

In 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 pot…

ShifterLabs, 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 help…

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 ve…

Step 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…

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 …

As 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…

In 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 …

In 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 lik…

In 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 detaile…

In 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 …

Welcome 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 sim…

In 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 l…

In 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 Reco…

As 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. Expl…

This 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 enga…