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Ivancast Podcast

IVANCAST PODCAST - The first multilingual podcast of Ecuador. IVANCAST explores the experiences of humans of the world who either live in the Ecuadorean Amazon Rainforest or are doing soulful, creative things all over the globe.

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Más allá del Hype: La IA como Sistema Colectivo y Mercado Inteligente

En este nuevo episodio, SHIFTERLABS se sumerge en el paper “A Collectivist, Economic Perspective on AI”, donde Michael I. Jordan —una de las voces más influyentes en el campo del aprendizaje automático— propone una forma radicalmente distinta de entender la inteligencia artificial. A diferencia de la narrativa dominante, Jordan argumenta que los modelos de lenguaje no son “mentes individuales”,…

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Loneliness, Dependence, and the Digital Heart: AI Chatbots & the Digital Age

In this episode of our AI-focused season, SHIFTERLABS uses Google LM to unravel the groundbreaking research “How AI and Human Behaviors Shape Psychosocial Effects of Chatbot Use: A Longitudinal Randomized Controlled Study”conducted by researchers from the MIT Media Lab and OpenAI. Over a span of 28 days and 300,000+ messages exchanged, 981 participants were immersed in conversations with ChatGPT…

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Emotional AI: When Chatbots Become Companions

In this compelling episode of our research-driven season, SHIFTERLABS once again harnesses Google LM to decode the latest frontiers of human-AI interaction. Today, we explore “Investigating Affective Use and Emotional Well-being on ChatGPT,” a collaborative study by Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal (OpenAI) and Cathy Fang, Auren Liu, Valdemar Danry, Samantha Chan, Pattie…

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AI Agents in Education: Scaling Simulated Practice for the Future of Learning

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “AI Agents and Education: Simulated Practice at Scale”, a groundbreaking study by Ethan Mollick, Lilach Mollick, Natalie Bach, LJ Ciccarelli, Ben Przystanski, and Daniel Ravipinto from the Generative AI Lab at the…

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The 2025 International AI Safety Report: Global Perspectives on the Risks and Future of AI

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into the “International Scientific Report on the Safety of Advanced AI (2025)”, chaired by Prof. Yoshua Bengio and developed with contributions from 96 AI experts representing 30 countries, the UN, the EU, and the OECD.…

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Superagency in the Workplace: How AI Can Empower Employees and Transform Organizations

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential”, a compelling study by Hannah Mayer, Lareina Yee, Michael Chui, and Roger Roberts, published in January 2025. Drawing from extensive…

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Emergent Misalignment: How Narrow Fine-Tuning Can Lead to Dangerous AI Behavior

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore “Emergent Misalignment: Narrow Finetuning Can Produce Broadly Misaligned LLMs”, a striking study by researchers from Truthful AI, University College London, the Center on Long-Term Risk, Warsaw University of Technology,…

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Utility Engineering: The Emerging Value Systems of AI and How to Control Them

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we dive into “Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs”, a pivotal study by researchers from the Center for AI Safety, the University of Pennsylvania, and the University of California, Berkeley.…

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Beyond Pretraining: How Post-Training Optimization is Transforming Large Language Models

In this episode of our special season, SHIFTERLABS leverages Google LM to demystify cutting-edge research, translating complex insights into actionable knowledge. Today, we explore the study “LLM Post-Training: A Deep Dive into Reasoning Large Language Models”, conducted by researchers from Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the University of Oxford, the University…

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Más Allá del Entrenamiento: Cómo la Optimización Post-Entrenamiento Está Revolucionando los Modelos de Lenguaje

En este episodio de nuestra temporada especial, SHIFTERLABS aprovecha Google LM para desmitificar la investigación de vanguardia, traduciendo conocimientos complejos en ideas accionables. Hoy exploramos el estudio “LLM Post-Training: A Deep Dive into Reasoning Large Language Models”, elaborado por investigadores de la Universidad Mohamed bin Zayed de Inteligencia Artificial (MBZUAI), la…

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