PODCAST · technology
ibl.ai
by ibl.ai
ibl.ai is a generative AI education platform based in NYC. This podcast, curated by its CTO, Miguel Amigot, focuses on high-impact trends and reports about AI.
Episodes
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Microsoft: Education AI Toolkit – A Navigator for Education Institutions to Plan their AI Journey
Summary of https://cdn-dynmedia-1.microsoft.com/is/content/microsoftcorp/microsoft/bade/documents/products-and-services/en-us/education/Microsoft-Education-AI-Toolkit1.pdf This toolkit from Microsoft provides a comprehensive guide for education institutions to embark on their AI journey. It...
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Nature: Large Language Models Are Proficient in Solving and Creating Emotional Intelligence Tests
Summary of https://www.nature.com/articles/s44271-025-00258-x Explores the emotional intelligence capabilities of Large Language Models (LLMs), specifically their ability to solve and create emotional intelligence tests. It highlights that several LLMs, including ChatGPT-4, consistently...
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OpenAI: Multi-Agent Portfolio Collaboration with OpenAI Agents SDK
Summary of https://cookbook.openai.com/examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration This guide from OpenAI introduces a multi-agent collaboration system built using the OpenAI Agents SDK, specifically designed for complex tasks like investment...
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BCG: AI-First Companies Win the Future
Summary of https://media-publications.bcg.com/BCG-Executive-Perspectives-AI-First-Companies-Win-the-Future-Issue1-10June2025.pdf This Boston Consulting Group (BCG) Executive Perspectives document, from June 2025, addresses how companies can become "AI-first" to achieve future success. It explains...
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McKinsey: Seizing the Agentic AI Advantage – A CEO Playbook
Summary of https://www.mckinsey.com/~/media/mckinsey/business%20functions/quantumblack/our%20insights/seizing%20the%20agentic%20ai%20advantage/seizing-the-agentic-ai-advantage.pdf McKinsey & Company report, "Seizing the Agentic AI Advantage," examines the current "gen AI paradox," where…
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LEGO/The Alan Turing Institute: Understanding the Impacts of Generative AI Use on Children
Summary of https://www.turing.ac.uk/sites/default/files/2025-05/combined_briefing_-_understanding_the_impacts_of_generative_ai_use_on_children.pdf Presents the findings of a research project on the impacts of generative AI on children, combining both quantitative survey data from children…
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OpenAI: Disrupting Malicious Uses of AI – June 2025
Summary of https://cdn.openai.com/threat-intelligence-reports/5f73af09-a3a3-4a55-992e-069237681620/disrupting-malicious-uses-of-ai-june-2025.pdf Report detailing OpenAI's efforts to identify and counter various abusive activities leveraging their AI models. It presents ten distinct case studies…
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Oakland University: The Memory Paradox –Why Our Brains Need Knowledge in an Age of AI
Summary of https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5250447 Argues that human memory remains crucial even in the age of AI. It explores the neuroscience behind learning, detailing how the brain utilizes declarative and procedural memory systems and organizes knowledge into schemata and...
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Pearson: Asking to Learn – What Student Queries to Generative AI Reveal About Cognitive Engagement
Summary of https://plc.pearson.com/sites/pearson-corp/files/asking-to-learn.pdf Analyzing student queries to an AI-powered study tool reveals that while many questions focus on basic factual and conceptual knowledge, a significant portion demonstrates higher-order thinking skills, suggesting the...
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Apple: The Illusion of Thinking – Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Summary of https://ml-site.cdn-apple.com/papers/the-illusion-of-thinking.pdf Explores the capabilities and limitations of Large Reasoning Models (LRMs), which generate detailed thinking processes, compared to standard Large Language Models (LLMs). The authors use controllable puzzle environments...
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OpenAI: A Practical Guide to Building Agents
Summary of https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf Practical guide explains that agents are advanced systems utilizing large language models (LLMs) to independently perform multi-step workflows by leveraging tools. It identifies suitable...
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Vanderbilt University: The AI Labor Playbook – How to Build, Lead, and Scale Generative AI and AI Agents in Your Organization
Summary of https://www.gaiin.org/the-ai-labor-playbook Advocates a fundamental shift in how organizations view and utilize generative AI, proposing it be treated as a new form of labor rather than simply a tool. The author argues that success hinges on a conceptual change: recognizing AI as a...
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OpenAI: AI in the Enterprise
Summary of https://cdn.openai.com/business-guides-and-resources/ai-in-the-enterprise.pdf Outlines OpenAI's approach to enterprise AI adoption, focusing on practical lessons learned from working with seven "frontier" companies. It highlights three key areas where AI delivers measurable…
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Microsoft Research: Shifting Work Patterns with Generative AI
Summary of https://arxiv.org/pdf/2504.11436 Details a large-scale randomized experiment involving over 7,000 knowledge workers across multiple industries to study the impact of a generative AI tool integrated into their workflow. The researchers measured changes in work patterns over six months…
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Springer: Why AI Will Not Democratize Education – A Critical Pragmatist Perspective
Summary of https://link.springer.com/article/10.1007/s13347-025-00883-8 This academic paper argues from a Deweyan perspective that artificial intelligence (AI), particularly in its current commercial Intelligent Tutoring System form, is unlikely to democratize education. The author posits that...
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McKinsey: Open Source Technology in the Age of AI
Summary of https://www.mckinsey.com/~/media/mckinsey/business%20functions/quantumblack/our%20insights/open%20source%20technology%20in%20the%20age%20of%20ai/open-source-technology-in-the-age-of-ai_final.pdf Based on a survey of technology leaders and senior developers, the document explores the...
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BCG: AI Agents, and the Model Context Protocol
Summary of https://www.scribd.com/document/855023851/BCG-AI-Agent-Report-1745757269 Outlines the evolution of AI Agents from simple applications to increasingly autonomous systems. It highlights the growing adoption of Anthropic's open-source Model Context Protocol (MCP) by major technology...
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Google/AWS: Building A Secure Agent AI Application Leveraging Google's A2A Protocol
Summary of https://arxiv.org/pdf/2504.16902 Explores the critical need for secure communication protocols as AI systems evolve into complex networks of interacting agents. It focuses on Google's Agent-to-Agent (A2A) protocol, designed to enable secure and structured communication between…
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Stanford University: Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
Summary of https://arxiv.org/pdf/2412.15473 Investigates whether student log data from educational technology, specifically from the first few hours of use, can predict long-term student outcomes like end-of-year external assessments. Using data from a literacy game in Uganda and two math…
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World Bank Group: From Chalkboard to Chatbots – Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria
Summary of https://documents1.worldbank.org/curated/en/099548105192529324/pdf/IDU-c09f40d8-9ff8-42dc-b315-591157499be7.pdf This is a Policy Research Working Paper from the World Bank's Education Global Department, published in May 2025. Titled "From Chalkboards to Chatbots: Evaluating the Impact…
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OpenAI: Multi-Agent Portfolio Collaboration with OpenAI Agents SDK
Summary of https://cookbook.openai.com/examples/agents_sdk/multi-agent-portfolio-collaboration/multi_agent_portfolio_collaboration Introduces a multi-agent system built using the OpenAI Agents SDK for complex investment research. It outlines an "agent as a tool" pattern where a central Portfolio...
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Mary Meeker: Trends - Artificial Intelligence 2025
Summary of https://www.bondcap.com/report/pdf/Trends_Artificial_Intelligence.pdf Extensively examines the rapid evolution of Artificial Intelligence, highlighting its unprecedented growth in user adoption, usage, and capital expenditure. It details the competitive landscape, noting the rise of...
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Center for AI Policy: AI Agents – Governing Autonomy in the Digital Age
Summary of https://cdn.prod.website-files.com/65af2088cac9fb1fb621091f/682f96d6b3bd5a3e1852a16a_AI_Agents_Report.pdf Presents an overview of AI agents, defined as autonomous systems capable of complex tasks without constant human supervision, highlighting their rapid progression from research to...
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North-West University: Exploring AI-Driven Conversations as Dynamic OER for Self-Directed Learners
Summary of https://conference.pixel-online.net/files/foe/ed0015/FP/8250-ESOC7276-FP-FOE15.pdf This conceptual paper explores the potential of AI-driven conversations, such as those from ChatGPT, to function as dynamic Open Educational Resources (OER) that support self-directed learning (SDL)....
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Google: Agents Companion
Summary of https://www.kaggle.com/whitepaper-agent-companion This technical document, the Agents Companion, explores the advancements in generative AI agents, highlighting their architecture composed of models, tools, and an orchestration layer, moving beyond traditional language models. It...
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UC San Diego: Large Language Models Pass the Turing Test
Summary of https://arxiv.org/pdf/2503.23674 Researchers Cameron R. Jones and Benjamin K. Bergen investigated whether advanced large language models (LLMs) can pass the standard three-party Turing test. Their study involved human interrogators conversing with both a human and an AI, then judging...
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Elon University: Being Human in 2035 – How Are We Changing in the Age of AI?
Summary of https://imaginingthedigitalfuture.org/wp-content/uploads/2025/03/Being-Human-in-2035-ITDF-report.pdf This Elon University Imagining the Digital Future Center report compiles insights from a non-scientific canvassing of technology pioneers, builders, and analysts regarding the potential...
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Bain & Company: Nvidia GTC 2025 – AI Matures into Enterprise Infrastructure
Summary of https://www.bain.com/globalassets/noindex/2025/bain_article_nvidia_gtc_2025_ai_matures_into_enterprise_infrastructure.pdf Nvidia's GTC 2025 highlighted a significant shift in AI, moving from experimental phases to becoming core enterprise infrastructure. The event showcased how data...
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Anthropic: Circuit Tracing – Revealing Computational Graphs in Language Models
Summary of https://transformer-circuits.pub/2025/attribution-graphs/methods.html Introduces a novel methodology called "circuit tracing" to understand the inner workings of language models. The authors developed a technique using "replacement models" with interpretable components to map the...
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RAND: Uneven Adoption of AI Tools Among U.S. Teachers and Principals in the 2023-2024 School Year
Summary of https://www.rand.org/content/dam/rand/pubs/research_reports/RRA100/RRA134-25/RAND_RRA134-25.pdf A RAND Corporation report, utilizing surveys from the 2023-2024 school year, investigates the adoption and use of artificial intelligence tools by K-12 public school teachers and principals....
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Stanford University: Expanding Academia's Role in Public Sector AI
Summary of https://hai-production.s3.amazonaws.com/files/hai-issue-brief-expanding-academia-role-public-sector.pdf Stanford HAI highlights a growing disparity between academia and industry in frontier AI research. Industry's access to vast resources like data and computing power allows them to...
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University of Texas at Austin: Protecting Human Cognition in the Age of AI
Summary of https://arxiv.org/pdf/2502.12447 Explores the rapidly evolving influence of Generative AI on human cognition, examining its effects on how we think, learn, reason, and engage with information. Synthesizing existing research, the authors analyze these impacts through the lens of...
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University of Bristol: Alice in Wonderland – Simple Tasks Showing Complete Reasoning Breakdown in State-of-the-Art LLMs
Summary of https://arxiv.org/pdf/2406.02061 Introduces the "Alice in Wonderland" (AIW) problem, a seemingly simple common-sense reasoning task, to evaluate the capabilities of state-of-the-art Large Language Models (LLMs). The authors demonstrate that even advanced models like GPT-4 and Claude 3...
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NIST: Adversarial Machine Learning – A Taxonomy and Terminology of Attacks and Mitigations
Summary of https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2025.pdf This NIST report explores the landscape of adversarial machine learning (AML), categorizing attacks and corresponding defenses for both traditional (predictive) and modern generative AI systems. It establishes a taxonomy and...
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Purdue University: The Emergence of AI Ethics Auditing
Summary of https://journals.sagepub.com/doi/10.1177/20539517241299732 Explores the emerging field of artificial intelligence ethics auditing, examining its rapid growth and current state through interviews with 34 professionals. It finds that while AI ethics audits often mirror financial auditing...
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Nature: The Mental Health Implications of AI Adoption – The Crucial Role of Self-Efficacy
Summary of https://www.nature.com/articles/s41599-024-04018-w Investigates how the increasing use of artificial intelligence in organizations affects employee mental health, specifically job stress and burnout. The study of South Korean professionals revealed that AI adoption indirectly increases...
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ECIIA: The AI Act – Road to Compliance
Summary of https://www.eciia.eu/wp-content/uploads/2025/01/The-AI-Act-Road-to-Compliance-Final-1.pdf "The AI Act: Road to Compliance," serves as a practical guide for internal auditors navigating the European Union's Artificial Intelligence Act, which entered into force in August 2024. It…
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Harvard Business School: The Cybernetic Teammate – A Field Experiment on Generative AI Reshaping Teamwork and Expertise
Summary of https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5188231 This working paper details a field experiment examining the impact of generative AI on teamwork and expertise within Procter & Gamble. The study involved 776 professionals working on real product innovation challenges…
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Baruch College: Not all AI is Created Equal – A Meta-Analysis Revealing Drivers of AI Resistance Across Markets, Methods, and Time
Summary of https://www.sciencedirect.com/science/article/pii/S0167811625000114 Presents a meta-analysis of two decades of studies examining consumer resistance to artificial intelligence (AI). The authors synthesize findings from hundreds of studies with over 76,000 participants, revealing that…
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CSET: Putting Explainable AI to the Test – A Critical Look at Evaluation Approaches
Summary of https://cset.georgetown.edu/publication/putting-explainable-ai-to-the-test-a-critical-look-at-ai-evaluation-approaches/ This Center for Security and Emerging Technology issue brief examines how researchers evaluate explainability and interpretability in AI-enabled recommendation…
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Harvard Business School: The Value of Open Source Software
Summary of https://www.hbs.edu/ris/Publication%20Files/24-038_51f8444f-502c-4139-8bf2-56eb4b65c58a.pdf Investigates the economic value of open source software (OSS) by estimating both the supply-side (creation cost) and the significantly larger demand-side (usage value). Utilizing unique global...
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Hoover Institution: The Artificially Intelligent Boardroom
Summary of https://www.hoover.org/sites/default/files/research/docs/cgri-closer-look-110-ai.pdf Examines the potential impact of artificial intelligence on corporate boardrooms and governance. It argues that while AI's influence on areas like decision-making is acknowledged, its capacity to…
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Harvard Business School: Why Most Resist AI Companions
Summary of https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5097445 This working paper by De Freitas et al. investigates why people resist forming relationships with AI companions, despite their potential to alleviate loneliness. The authors reveal that while individuals acknowledge AI's...
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Center for AI Policy: US Open-Source AI Governance – Balancing Ideological and Geopolitical Considerations with China Competition
Summary of https://cdn.prod.website-files.com/65af2088cac9fb1fb621091f/67aaca031ed677c879434284_Final_US%20Open-Source%20AI%20Governance.pdf This document from the Center for AI Policy and Yale Digital Ethics Center examines the contentious debate surrounding the governance of open-source...
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National Security: Superintelligence Strategy
Summary of https://arxiv.org/pdf/2503.05628 This expert strategy document from Dan Hendrycks, Eric Schmidt and Alexander Wang addresses the national security implications of rapidly advancing AI, particularly the anticipated emergence of superintelligence. The authors propose a three-pronged...
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Monash University: Gen AI in Higher Ed – A Global Perspective of Institutional Adoption Policies and Guidelines
Summary of https://www.sciencedirect.com/science/article/pii/S2666920X24001516 This paper examines how higher education institutions globally are addressing the integration of generative AI by analyzing the adoption policies of 40 universities across six regions through the lens of the Diffusion…
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UNESCO: AI Competency Framework for Students
Summary of https://unesdoc.unesco.org/ark:/48223/pf0000391105 This UNESCO publication presents a global framework for AI competency in students. Recognizing the increasing role of AI, it argues for proactive education to prepare responsible users and co-creators. The framework outlines twelve...
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PWC: Agentic AI – An Executive Playbook
Summary of https://media.licdn.com/dms/document/media/v2/D561FAQHEys4iGQj7CA/feedshare-document-pdf-analyzed/B56ZUN7jLFHQAY-/0/1739695481660?e=1743033600&v=beta&t=nLUoVEs06lwzFgHpx8DbIfd6nMyvXem1ZrpqPSChhiA "Agentic AI – the new frontier in GenAI," explores the transformative potential of agentic...
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Harvard Business School: Global Evidence on Gender Gaps and Generative AI
Summary of https://www.hbs.edu/ris/Publication%20Files/25-023_8ee1f38f-d949-4b49-80c8-c7a736f2c27b.pdf Examines the gender gap in the adoption and usage of generative AI tools across the globe.Synthesizing data from 18 studies involving over 140,000 individuals, the authors reveal a consistent...
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UC Berkeley: Responsible Use of Generative AI – A Playbook for Product Managers and Business Leaders
Summary of https://re-ai.berkeley.edu/sites/default/files/responsible_use_of_generative_ai_uc_berkeley_2025.pdf A playbook for product managers and business leaders seeking to responsibly use generative AI (genAI) in their work and products. It emphasizes proactively addressing risks like data...
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ABOUT THIS SHOW
ibl.ai is a generative AI education platform based in NYC. This podcast, curated by its CTO, Miguel Amigot, focuses on high-impact trends and reports about AI.
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ibl.ai is a generative AI education platform based in NYC. This podcast, curated by its CTO, Miguel Amigot, focuses on high-impact trends and reports about AI.
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