“That's taxpayer’s money that is going to support research and development and pilot projects to develop a food system that is based on environmental destruction and greed and disregard for animals, fish, and any of the other marine mammals that might be around it.” - Andrianna Natsoulas Andrianna Natsoulas is the campaign director for Don't Cage Our Oceans, an organization that exists to keep our oceans free from industrial fish farms. Offshore finfish farming is the mass cultivation of finfish in marine waters, in underwater or floating net pens, pods, and cages. Offshore finfish farms are factory farms that harm public health, the environment, and local communities and economies that rely on the ocean and its resources. Don’t Cage Our Oceans are a coalition of diverse organizations working together to stop the development of offshore finfish farming in the United States through federal law, policies, and coalition building. And, although it is not yet happening, right now the US Administration and Congress are promoting this kind of farming, which would be nothing short of disastrous for the oceans, the planet and the people and animals who live here. dontcageouroceans.org…
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Peering Into the Black Box: The Rise of Representation Engineering
Manage episode 448992995 series 3351512
Contenido proporcionado por IVANCAST PODCAST. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente IVANCAST PODCAST o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Join 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 solutions to challenges like honesty, hallucination detection, and fairness. We explore its applications across essential safety domains, including model control and ethical behavior. Tune in to learn how these advances could shape a future of AI that is more transparent, accountable, and aligned with human values.
This series is part of SHIFTERLABS’ ongoing commitment to pushing the boundaries of educational technology and fostering discussions at the intersection of research, technology, and responsible innovation.
100 episodios
CompartirManage episode 448992995 series 3351512
Contenido proporcionado por IVANCAST PODCAST. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente IVANCAST PODCAST o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Join 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 solutions to challenges like honesty, hallucination detection, and fairness. We explore its applications across essential safety domains, including model control and ethical behavior. Tune in to learn how these advances could shape a future of AI that is more transparent, accountable, and aligned with human values.
This series is part of SHIFTERLABS’ ongoing commitment to pushing the boundaries of educational technology and fostering discussions at the intersection of research, technology, and responsible innovation.
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🚀 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. 📢 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 the future of education in an AI-integrated world. 🎧 Tune in now to gain expert insights into the intersection of AI and education! We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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1 Scaling Evidence-Based Instructional Design with AI: Insights from Carnegie Mellon University 18:36
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 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 the future of education in an AI-integrated world. 🔍 ShifterLabs Model: Redefining Education in the AI Era 🌍 We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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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 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 ongoing season, where SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔗 Read the full paper: https://github.com/simplescaling/s1 We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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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-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 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 the future of education and technology in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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1 Project-Based Learning in AI Education: A Path to Better Student Engagement and Skill Development 15:11
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’ 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 implications for the future of education. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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1 The Impact of Large Language Models on Programming Education: Are We Losing Critical Thinking? 9:26
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 can balance AI assistance with independent problem-solving skills. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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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 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 transforming industries like customer service, IT, and marketing, and reflect on how education and training need to evolve in response to these changes. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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1 The Global Adoption of Generative AI in Higher Education: Policies, Challenges, and Future Directions 13:56
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 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. 🔹 The role of faculty, students, and administrators in ensuring responsible AI adoption. 🔹 The impact of AI on assessment, academic integrity, and personalized learning. 🔹 The Diffusion of Innovations Theory as a lens to understand GAI adoption globally. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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1 🔍 Exploring GenAI for Personalized English Learning: Insights from Hong Kong’s Universities 🌍 13:24
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 the role of educators in guiding ethical use 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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 ethical and social norms. We explore how these emerging AI value systems impact education, policy, and the future of human-AI collaboration. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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 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 generation However, the study also highlights potential risks, such as over-reliance on AI and reduced critical thinking. We break down the findings and discuss how educators can maximize the benefits while mitigating the drawbacks. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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-dominated world. 📢 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 the future of education in an AI-integrated world. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
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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, translating complex insights into actionable knowledge. Join us as we explore the future of education in an AI-integrated world. 🔬 Based on research by Kunal Handa, Alex Tamkin, Miles McCain, Saffron Huang, Esin Durmus, and a team of AI & economics experts at Anthropic. 📖 Full research available via Anthropic Research. We are: ✅ Microsoft Global Training Partner, MCTs & AI Thought Leaders from Ecuador 🇪🇨 ✅ Democratizing AI for educators, students, and institutions ✅ Merging EdTech & AI for next-generation learning experiences 🎯 What We Offer: 🔹 Comprehensive frameworks and digital transformation programs for schools and universities through our partnership with Microsoft 🔹 Cutting-edge research explained clearly for educators and leaders 🔹 Innovative learning strategies with AI and technology 💡 Explore more free resources: 🔸 Research articles and essays on Substack 🔸 Podcasts created with Google LM in this new season 🎙 🔸 AI-powered TikTok posts that encourage reading 🔸 Music for cognitive learning and focus 🎼 📢 Follow @ShifterLabsEC for exclusive AI & EdTech content, and don’t miss the latest edition of our successful bootcamp, “The Rise of Generative AI in Education. ShifterLabs is Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Visit us at shifterlabs.com .…
🎙️ 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 active learning in fostering long-term retention. • Student archetypes in AI interaction and their learning outcomes. 📢 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 the future of education in an AI-integrated world. 🔗 Stay informed: • 📝 Read our latest essays and articles on Substack. • 🎥 Watch El Reloj de la Singularidad on YouTube. • 🌐 Everything in one place: SHIFTERLABS . SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner, empowering educators and learners worldwide.…
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 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 insights into how students and educators interact with these powerful tools. • Actionable strategies for integrating AI into education responsibly and effectively. 📚 Key Takeaways: • Why students and educators see GenAI as both an opportunity and a challenge. • How AI is catalyzing personalized learning while raising concerns about skill development and reliance. • Practical tips for institutions to redefine education with AI while fostering ethical and skill-based growth. ✨ Powered by Google LM: This episode was generated using Google LM, as part of SHIFTERLABS’ mission to translate complex insights into actionable knowledge. Together, we aim to empower educators, learners, and innovators to thrive in an AI-driven world. 🎯 More from SHIFTERLABS: 🔗 Read our in-depth essays on Substack. 🎥 Explore our series El Reloj de la Singularidad on YouTube. 🎙️ Find this and other episodes on Spotify. 🌍 Everything in one place: https://bit.ly/3WvwDZx 💡 About SHIFTERLABS: Ecuador’s premier EdTech innovator and Microsoft Global Training Partner, SHIFTERLABS bridges technology, education, and the environment to prepare learners for the future. Visit us at shifterlabs.com . 🎧 Tune in now and explore how Generative AI is shaping the next frontier of higher education!…
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, 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, fostering ethical AI practices, and embracing a balanced integration of AI into education. 📢 Don’t forget: 🔗 Read our essays and articles on Substack. 🎙️ Listen to more episodes on Spotify. 🎥 Explore our series El Reloj de la Singularidad on YouTube. 🌍 Everything in one place: https://bit.ly/3WvwDZx Visit us at shifterlabs.com . 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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 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 mission to empower learners, educators, and decision-makers with the tools to adapt and thrive in an AI-driven world. 🔍 Join us to understand how these technologies intersect with neuroscience, AI, and their transformative potential for education and healthcare. 📢 Don’t forget: 🔗 Read our essays and articles on Substack. 🎙️ Listen to more on Spotify. 🌍 Everything in one place: https://bit.ly/3WvwDZx 💡 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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 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 estudiantes y educadores para prosperar en un mundo impulsado por la IA. 🔍 Descubre estrategias para mantener el compromiso cognitivo, fomentar prácticas éticas de IA e integrar la IA en la educación de manera equilibrada. 📢 No olvides: 🔗 Lee nuestros ensayos y artículos en Substack. 🎙️ Escucha más episodios en Spotify. 🎥 Explora nuestra serie El Reloj de la Singularidad en YouTube. 🌍 Todo en un solo lugar: https://bit.ly/3WvwDZx Visítanos en shifterlabs.com . 💡 SHIFTERLABS—El principal innovador EdTech de Ecuador y Socio Global de Formación de Microsoft.…
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Ivancast Podcast
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, 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 accesibles. Este episodio es parte de nuestra misión de empoderar a educadores, estudiantes y tomadores de decisiones con herramientas para adaptarse y destacar en una era impulsada por la inteligencia artificial. 🔍 Únete a nosotros para explorar estrategias de recapacitación y colaboración humano-máquina para afrontar las transformaciones del mercado laboral. 🌍 Podcasts, Substack, La serie de YouTube El Reloj de la Singularidad y más en un solo lugar: https://bit.ly/3WvwDZx 💡 Visítanos en shifterlabs.com 💡 SHIFTERLABS: el principal innovador EdTech de Ecuador y Socio Global de Entrenamiento de Microsoft.…
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Ivancast Podcast
1 Integrating Generative AI in K-12 Education: Insights into Teacher Preparedness, Practices, and Barriers 17:56
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 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 strategies that foster teacher readiness, address ethical challenges, and create a balance between human interaction and AI integration in classrooms. 📢 Don’t forget: 🌍 Podcasts, Substack, YouTube Series and more in one place: https://bit.ly/3WvwDZx 💻 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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, 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 adapt and excel in an AI-driven era. 🔍 Join us as we explore strategies for reskilling and fostering human-machine collaboration to navigate labor-market transformations. 🌍 Podcasts, Substack, YouTube series and more in one place: https://bit.ly/3WvwDZx Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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 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. 🔍 Join us to understand how innovation ecosystems are revolutionizing industries, empowering communities, and fostering partnerships globally. Discover strategies to harness the Fourth Industrial Revolution for a sustainable, inclusive future. 📢 Don’t forget: 🔗 Read essay and articles on our Substack. 🎙️ Listen to more on Spotify. 💡 Explore our series El Reloj de la Singularidad on YouTube . 🌍 Everything in one place: https://bit.ly/3WvwDZx 🌐 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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: 🔗 Essays and articles on Substack. 🎙️ Listen on Spotify. 🎥 Watch our series, El Reloj de la Singularidad , on YouTube. 🌐 Visit us at shifterlabs.com . 🌍 Everything in one place: https://bit.ly/3WvwDZx . 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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. 📢 Parte de la colaboración continua de SHIFTERLABS con Google LM, este episodio tiene como objetivo hacer accesible la investigación académica a todos. Descubre más: 🔗 Ensayos y artículos en Substack. 🎙️ Escúchanos en Spotify. 🎥 Mira nuestra serie El Reloj de la Singularidad en YouTube. 🌐 Visítanos en shifterlabs.com . 🌍 Todo en un solo lugar: https://bit.ly/3WvwDZx . 💡 SHIFTERLABS—El líder en innovación EdTech de Ecuador y Socio Global de Entrenamiento de Microsoft.…
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 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 in an AI-driven world. 📢 Don’t forget: 🔗 Explore our essays and articles on Substack. 🎙️ Listen to more on Spotify and all major platforms. 💡 Watch our YouTube series, El Reloj de la Singularidad . 🌍 Everything in one place: https://bit.ly/3WvwDZx 🌐 Visit us at shifterlabs.com 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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Ivancast Podcast
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 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, formulador de políticas o entusiasta de la tecnología, este episodio ofrece valiosos conocimientos sobre el futuro de la enseñanza en un mundo impulsado por IA. 📢 No olvides: 🔗 Explora nuestros ensayos y artículos en Substack. 🎙️ Escucha más en Spotify y todas las plataformas principales. 💡 Mira nuestra serie futurista en YouTube, El Reloj de la Singularidad . 🌍 Everything in one place: https://bit.ly/3WvwDZx 🌐 Visítanos en shifterlabs.com 💡 SHIFTERLABS—El principal innovador EdTech de Ecuador y Socio Global de Entrenamiento de Microsoft.…
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 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 investigaciones de vanguardia sean accesibles para todos. Analizamos los pasos necesarios para mitigar riesgos, promover la transparencia y mantener prácticas éticas en la implementación de la IA. 📢 No te lo pierdas: 🔗 Lee nuestros ensayos y artículos completos en Substack. 🎙️ Escucha este podcast en Spotify, Apple Podcasts y más. 💡 Explora nuestra serie en YouTube: El Reloj de la Singularidad . Todo en un sitio: https://bit.ly/3WvwDZx 🌐 Visítanos en shifterlabs.com para más información sobre nuestra misión de revolucionar la educación y la tecnología. 💡 SHIFTERLABS—El principal innovador EdTech de Ecuador y socio global de Microsoft Global Training Partner.…
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: •🌐 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 podcast is part of our mission to make emerging technologies like blockchain understandable and impactful for everyone. 📢 Don’t forget: 🔗 Read our articles and essay on Substack. 🎙️ Listen to more on Spotify and all major platforms. 💡 Explore our series El Reloj de la Singularidad on YouTube. Everything in one place: https://bit.ly/3WvwDZx 🌐 Visit us at shifterlabs.com . 💡 SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner.…
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 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 mission to empower learners, educators, and decision-makers with the tools to adapt and thrive in an AI-driven world. 🔍 Join us to understand how education can balance AI integration with fostering critical thinking. Discover strategies to maintain cognitive engagement and independence amidst the rise of AI technologies. Subscribe to our SUBSTACK for exclusive content, and find more of our episodes on Spotify and YouTube. Follow us on social media @ShifterLabsEC and explore our services at www.shifterlabs.com SHIFTERLABS: Your trusted partner in education and AI innovation.…
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 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. 🚀 Tune in to explore: •The science behind AI tutors. •Key takeaways for educators and institutions. •SHIFTERLABS’ efforts to bring accessible, world-class education to Ecuador and beyond. 💡 Join the conversation and discover how your institution can thrive with SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. 👉 Don’t forget to subscribe to our Substack for exclusive content, and catch all our episodes on Spotify and YouTube. Follow us @ShifterLabsEC and learn more about our vision for the future at www.shifterlabs.com…
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 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. Learn how SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner—is shaping the future of education and AI innovation. Discover how your institution can thrive with tailored solutions and pioneering strategies. 📚 Subscribe to our Substack for exclusive articles and insights. 🎙️ Don’t miss our podcast episodes on Spotify and YouTube. 📱 Follow us on social media @ShifterLabsEC and visit us at www.shifterlabs.com…
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 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 demystify cutting-edge research, translating academic papers into digestible knowledge that empowers learners and decision-makers alike. Join the conversation and learn how your institution can adapt and thrive with tailored solutions from SHIFTERLABS—Ecuador’s premier EdTech innovator and Microsoft Global Training Partner. Subscribe to our Substack at ivanidrovog.substack.com for exclusive content, and don’t miss our podcast episodes on Spotify and YouTube! Together, we’re shaping the future of education. Follow us on social media @ShifterLabsEC and explore our services at www.shifterlabs.com. SHIFTERLABS: Your trusted partner in education and AI innovation.…
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, 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 ethical, affecting democracy and trust in institutions worldwide. At SHIFTERLABS, we remain committed to translating high-level research into actionable insights for educators, policymakers, and global communities. Together, let’s explore strategies to mitigate these threats and reinforce resilience in our digital age. Follow us on social media @ShifterLabsEC and visit www.shifterlabs.com to stay at the forefront of education and AI innovation. SHIFTERLABS: Your premier EdTech partner in Ecuador and beyond.…
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 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 logic, and how ChatGPT’s natural language capabilities reshape the way learners teach and learn. At SHIFTERLABS, we go beyond the curve—synthesizing the latest advancements in AI to inspire educators, institutions, and policymakers worldwide. Join us on this journey to redefine education with tools that enable dynamic, interactive, and meaningful learning experiences. Follow us on social media @ShifterLabsEC and visit www.shifterlabs.com to stay ahead with the latest breakthroughs in AI and education. SHIFTERLABS: Your premier EdTech partner in Ecuador and beyond.…
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 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 advancements accessible to all. Created with the assistance of Google LM, this episode underscores ShifterLabs’ leadership as Ecuador’s premier EdTech thought leader. Follow us on social media @ShifterLabsEC and visit our website at www.shifterlabs.com for more updates and insights into education, technology, and digital culture!…
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 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 directly to you. Stay informed with the latest advancements in AI and education through ShifterLabs. Follow us on social media @ShifterLabsEC and visit our website www.shifterlabs.com for more information. Let’s reshape education together!…
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 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 ongoing experiment with Google LM, aimed at democratizing access to high-level scientific knowledge and empowering educators, innovators, and leaders in Ecuador and beyond. Follow us on social media @ShifterLabsEC and visit our website at www.shifterlabs.com for more information. Stay ahead with the latest in AI, education, and technology!…
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 we validate and improve educational methods. Follow us on social media @ShifterLabsEC and visit www.shifterlabs.com for more information and updates on the latest in AI and education!…
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Ivancast Podcast
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 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 to lead as thought leaders in AI and Education, democratizing access to verified, cutting-edge knowledge. 👉 Follow us on social media @ShifterLabsEC and visit our website www.shifterlabs.com for more updates on EdTech, AI, and digital culture. Stay informed. Stay inspired. ShifterLabs is your premier partner in the journey of transformation through technology and education.…
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 digitalizing world. This podcast is part of SHIFTERLABS’ ongoing project to democratize access to high-level research, using Google LM for audio generation. As Ecuador’s premier EdTech company, we bring you the latest insights and advancements in AI and education, proving our leadership as AI thought leaders in the region. Follow us on social media @ShifterLabsEC and visit our website at www.shifterlabs.com for more information. Together, let’s reshape education and stay at the forefront of technological innovation!…
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 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 ahead of the curve—reading and synthesizing the latest research—so you remain informed and inspired. Follow us on social media @ShifterLabsEC and visit www.shifterlabs.com to learn more. SHIFTERLABS: Your premier EdTech partner in Ecuador and beyond.…
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 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 unlock agency in AI systems, pushing us closer to artificial general intelligence? Join us as we explore the surprising implications of this hypothesis, its critique of skepticism in the field, and what it all means for the future of AI development.…
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 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 the challenges in bridging current AI and human-like cognition? Join us as we break down LeCun’s proposal into digestible insights, making sense of how AI could redefine intelligence as we know it.…
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 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. This is more than a story about AI—it’s a glimpse into the future of understanding human nature through data. Don’t miss this mind-expanding conversation!…
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Ivancast Podcast
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 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 break down the methodology, real-world applications, and challenges of using probabilistic consensus to address hallucinations and improve accuracy without external knowledge or human intervention. Tune in to discover how this innovative framework is paving the way for trustworthy AI in critical applications.…
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 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 understanding the limits of energy efficiency in computing. Join us as we demystify the principles that connect physics and AI, bringing clarity to the science behind next-token prediction. Get ready for a thought-provoking journey into the mechanics of intelligence itself!…
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Ivancast Podcast
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 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, influencing everything from ChatGPT to future AGI possibilities. Tune in as we break down the science, its implications, and what it means for the next generation of AI systems—making it all easy to grasp, even if you’re new to the field!…
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 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 user actions in AI models, we break it all down. Get ready to rethink what’s possible in AI-powered personalization and the future of generative AI in everyday experiences!…
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Ivancast Podcast
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. 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, this episode sheds light on the future of personalized content delivery and AI-powered user experiences. Don’t miss this deep dive into the tech driving platforms like TikTok and beyond.…
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 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 risks, benefits, and opportunities ahead? And how can educators, employers, and policymakers align to ensure an AI-powered future leaves no one behind? Tune in for an engaging, thought-provoking discussion! www.shifterlabs.com…
How 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’s impact on the art world. This episode introduces the Taxonomy of Alignment and Guidance (TAG) —a conceptual framework I propose for fostering ethical and responsible AI use in creative fields. From the philosophical question, What is art? , to exploring the role of artists in a technologically saturated era, this conversation invites us to rethink the boundaries of creativity and collaboration. More than just a critique, this podcast is a call for empathy, understanding, and collective growth in the face of change. Join me in considering whether we’re witnessing the birth of a new renaissance, a breaking point, or perhaps both. This podcast is part of SHIFTERLABS’ broader mission to explore the transformative potential of technology and education. Through AI tools like Google NotebookLM, I’m turning my long-form Spanish YouTube series, El Reloj de la Singularidad , into accessible English podcasts to spark global conversations about art, AI, and ethics. For the full Spanish episode, including timestamps and nuanced discussions, watch it here . Let’s explore how AI is redefining art—and how we, as artists and creators, can help shape this new world. 🎨🤖…
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Ivancast Podcast
1 The Technological Singularity, AGI Predictions, and Humanity’s Post-Singularity Future: Reflections on Progress and Paradoxes 15:00
Step 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 the risks of a post-singularity world. With insights drawn from diverse scientists, I delve into pressing questions like: How will AGI reshape education, work, and governance? Can we navigate the ethical dilemmas of control and regulation? What challenges will humanity face in aligning superintelligence with human values? This episode is also kind of specially meaningful to me as it marks the moment I predicted AGI by 2028—a bold vision that fuels my commitment to SHIFTERLABS and its mission to prepare society for this transformative future. As an educator, musician, and futurist living in the Amazon rainforest, I invite you to join this philosophical and scientific exploration of humanity’s next evolution. This podcast is part of my ongoing experiment with SHIFTERLABS, using AI tools like Google NotebookLM to reimagine my long-form Spanish YouTube series, El Reloj de la Singularidad , into accessible podcast episodes in English. My goal? To spark a global conversation on education, ethics, and technology’s role in shaping a better future. For the full Spanish episode, including rich visuals and detailed timestamps, watch it El Reloj De La Singularidad . Let’s build a world where AGI is a tool of truth and trust, aligned with humanity’s highest aspirations.…
How 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 future where technology empowers humanity to prioritize creativity, well-being, and a sustainable way of life. This podcast is part of SHIFTERLABS’ ongoing mission to explore the intersection of technology, education, and society. As the founder of SHIFTERLABS, I’m experimenting with AI tools like Google NotebookLM to transform my long-form Spanish YouTube series, El Reloj de la Singularidad , into concise, accessible podcast episodes in English. These shorter episodes aim to expand the reach of my work, making complex topics like AGI, ethics, and education accessible to a global audience. For the full Spanish episode of this conversation, watch it here: El Reloj De La Singularidad…
Join 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 nature of AI’s benefits—how top researchers harness it to double their productivity while others face challenges due to underutilized skills and reduced job satisfaction. The episode delves into how AI reallocates tasks, emphasizing the growing importance of human judgment in assessing AI-generated insights. We also explore the broader implications for innovation, potential inequalities in productivity gains, and what this means for the future of collaborative AI in research. Tune in as we break down these critical insights and their implications for science, technology, and the workforce in the era of AI-augmented research.…
Dive 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 models. Key findings include how Western models align with liberal values and non-Western models often favor centralized governance and state control. The paper sparks important conversations about AI neutrality, the role of creators in shaping model behavior, and the implications of these biases on global information access and political influence. Join us as we break down these intricate insights and discuss their implications for the development and regulation of AI technology. This episode reflects SHIFTERLABS’ commitment to merging technology and education, sparking thought-provoking dialogues at the forefront of innovation.…
Welcome 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 architectures (from encoder-decoder models to decoder-only architectures). The discussion highlights parallel training, fine-tuning techniques such as Supervised Fine-Tuning (SFT) and parameter-efficient tuning, and groundbreaking approaches like Reinforcement Learning with Human Feedback (RLHF). We also examine future trends, safety protocols, and evaluation methods essential for LLM development and deployment. This episode is part of SHIFTERLABS’ mission to inform and inspire through the fusion of research, technology, and education. Dive in to understand what makes LLMs the cornerstone of modern AI and how this knowledge shapes their application in real-world scenarios.…
In 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 findings, from the design principles that make AI tutoring effective—such as personalized feedback and self-pacing—to the implications for the future of education. How can AI tutors help democratize access to world-class education? What does this mean for teachers and students in diverse learning environments? Join us as we unpack these questions and discuss the potential of AI to revolutionize educational practices. This podcast episode continues SHIFTERLABS’ mission of merging cutting-edge technology with educational innovation, leveraging AI for transformative learning experiences.…
Join 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 solutions to challenges like honesty, hallucination detection, and fairness. We explore its applications across essential safety domains, including model control and ethical behavior. Tune in to learn how these advances could shape a future of AI that is more transparent, accountable, and aligned with human values. This series is part of SHIFTERLABS’ ongoing commitment to pushing the boundaries of educational technology and fostering discussions at the intersection of research, technology, and responsible innovation.…
In 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 its training data, achieving impressive accuracy (r = 0.85). Beyond the technical details, we explore how this capability can revolutionize social science research—enhancing policy-making, shaping behavioral interventions, and augmenting scientific theory. However, it’s not all smooth sailing—our hosts critically examine the risks involved, such as potential biases and the ethical implications of AI predicting socially harmful content. Discover how this experiment could change the way social scientists approach human behavior and policy interventions, offering a glimpse into the future of AI-augmented research. This episode is a must-listen for anyone curious about the intersection of AI, social science, and the ethical questions emerging from this cutting-edge research. Tune in to see how SHIFTERLABS is pushing the boundaries of AI literacy by transforming complex papers into accessible, thought-provoking conversations!…
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.…
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