How to Build a Career That Thrives Alongside AI by Ines Lee

The Bitter Lesson by Rich Sutton

In his now famous piece still relevant piece from 2019 Sutton teaches us that the critical lesson from decades of AI research:leveraging computation through general methods is far more effective than incorporating human knowledge into AI systems. Original article here. [http://www.incompleteideas.net/IncIdeas/BitterLesson.html]

The Agentic Web: Weaving the Next Web with AI Agents

Today we're covering our first scientific paper. The authors present "Agentic Web," a comprehensive conceptual framework for the next phase of the internet, where autonomous AI agents act as primary intermediaries. Let us know how you like this format by emailing us, details at the end of the podcast! Article is here: Agentic Web: Weaving the Next Web with AI Agents [https://arxiviq.substack.com/p/agentic-web-weaving-the-next-web] Research paper is here: Arxiv research link [https://arxiv.org/abs/2507.21206]

How to Build a Career That Thrives Alongside AI by Ines Lee

Ines Lee—a former economics professor who led content creation for productivity expert Ali Abdaal—reframes the challenge as opportunity: Instead of chasing AI engineering skills, become T-shaped with deep expertise in one area plus broad capabilities across related domains. Her three-phase framework shows exactly where humans add irreplaceable value, proving that markets reward relevance over credentials. Plus: Five steps to start building your T shape. Original article here [https://every.to/p/how-to-build-a-career-that-thrives-alongside-ai] References from this article * T-shaped professional concept by Tim Brown (IDEO cofounder) [https://executive.mit.edu/blog/t-shaped-professional] * McKinsey report on rising demand for socio-emotional skills [https://www.mckinsey.com/featured-insights/future-of-work/skill-shift-automation-and-the-future-of-the-workforce]

The Right to Resist by Leon Furze

In this article, Leon explains why he supports the right of educators and academics to refuse the use of artificial intelligence and why he believe some of the criticisms levelled against resistors are flawed. Original article here: The Right to Resist [https://leonfurze.com/2025/07/28/the-right-to-resist/] References from this article * The Myth of Inevitable AI [https://leonfurze.com/2025/04/28/the-myth-of-inevitable-ai/] * Publishers' Open Letter Against AI [https://lithub.com/against-ai-an-open-letter-from-writers-to-publishers/] * Artists and Writers Open Letter on AI Copyright [https://www.theguardian.com/technology/2025/may/10/paul-mccartney-and-dua-lipa-among-artists-urging-starmer-to-rethink-ai-copyright-plans] * Netherlands Academics Open Letter on AI [https://openletter.earth/open-letter-stop-the-uncritical-adoption-of-ai-technologies-in-academia-b65bba1e] * Australian/US Educators Open Letter Refusing GenAI [https://openletter.earth/an-open-letter-from-educators-who-refuse-the-call-to-adopt-genai-in-education-cb4aee75] * AI Ethics - Technology Flaws [http://leonfurze.com/ai-ethics] * Network Effects and Social Media Companies [https://leonfurze.com/2024/08/27/network-effects-social-media-and-the-past-present-and-future-of-addictive-ai/] * Instructure and OpenAI Partnership [https://www.instructure.com/press-release/instructure-and-openai-announce-global-partnership-embed-ai-learning-experiences] * Environmental Costs of AI [https://leonfurze.com/2025/05/12/teaching-ai-ethics-2025-environment/] * AI Copyright Issues [https://leonfurze.com/2023/04/04/teaching-ai-ethics-copyright/] * AI Bias Issues [https://leonfurze.com/2025/06/13/teaching-ai-ethics-2025-bias-2/] * AI Privacy Concerns [https://leonfurze.com/2023/04/10/teaching-ai-ethics-privacy/] * AI Data Collection Issues [https://leonfurze.com/2023/05/06/teaching-ai-ethics-intermediate-series/] * Microsoft Research on GenAI Impact on Critical Thinking [https://www.microsoft.com/en-us/research/publication/the-impact-of-generative-ai-on-critical-thinking-self-reported-reductions-in-cognitive-effort-and-confidence-effects-from-a-survey-of-knowledge-workers/] * Rethinking Assessment for GenAI Ebook [https://mailchi.mp/leonfurze/assessment25] * The Myth of Inevitable AI Podcast Episode [https://leonfurze.com/2025/06/04/the-myth-of-inevitable-ai-2/] * It's Uncomfortable on the Fence But At Least the View is Nice [https://leonfurze.com/2024/11/20/its-uncomfortable-on-the-fence-but-at-least-the-view-is-nice/]

Learning to Learn is the North Star of an AI World by Stefan Bauschard

This article underscores the need for educational reform in the face of technological evolution. As we think about the role of education, we must consider how to cultivate a mindset of curiosity and resilience in our students—essential skills for navigating an uncertain future. Original article here: Learning to Learn [https://stefanbauschard.substack.com/p/learning-to-learn-is-the-north-star] References from this article * Encouraging Metacognition in the Classroom | Poorvu Center for Teaching and Learning [https://poorvucenter.yale.edu/MetacognitioninClassrooms] * Metacognitive Strategies | Center for Teaching Innovation [https://teaching.cornell.edu/teaching-resources/active-collaborative-learning/metacognitive-strategies] * Teaching Metacognitive Strategies in the Classroom [https://www.benchmarkeducation.com/blog/post/teaching-metacognitive-strategies-in-the-classroom.html] * Fostering Metacognition to Support Student Learning and Performance | CBE—Life Sciences Education [https://www.lifescied.org/doi/10.1187/cbe.20-12-0289] * Metacognition | Teaching + Learning Lab [https://tll.mit.edu/teaching-resources/how-people-learn/metacognition/]