BlueDot Narrated

Audio versions of blogs and papers from BlueDot courses. By Sella Nevo et al. In this report, RAND researchers identify real-world attack methods that malicious actors could use to steal AI model weights. They propose a five-level security framework that AI companies could implement to defend against different threats, from amateur hackers to nation-state operations. Source: https://www.rand.org/p...

Audio versions of blogs and papers from BlueDot courses. By Leopold Aschenbrenner A former OpenAI researcher argues that private AI companies cannot safely develop superintelligence due to security vulnerabilities and competitive pressures that override safety. He argues that a government-led 'AGI Project' is inevitable and necessary to prevent adversaries stealing the AI systems, or los...

Audio versions of blogs and papers from BlueDot courses. By Sarah Hastings-Woodhouse AI Control is a research agenda that aims to prevent misaligned AI systems from causing harm. It is different from AI alignment, which aims to ensure that systems act in the best interests of their users. Put simply, aligned AIs do not want to harm humans, whereas controlled AIs can't harm humans, even if the...

Audio versions of blogs and papers from BlueDot courses.  By Jamie Bernardi Jamie Bernardi argues that we can't rely solely on model safeguards to ensure AI safety. Instead, he proposes "AI resilience": building society's capacity to detect misuse, defend against harmful AI applications, and reduce the damage caused when dangerous AI capabilities spread beyond a government or c...

Audio versions of blogs and papers from BlueDot courses. By Yoshua Bengio et al. This paper argues that building generalist AI agents poses catastrophic risks, from misuse by bad actors to a potential loss of human control. As an alternative, the authors propose “Scientist AI,” a non-agentic system designed to explain the world through theory generation and question-answering rather than acting in...

Audio versions of blogs and papers from BlueDot courses. By Luke Drago and Rudolf Laine This section explores how the arrival of AGI could trigger an “intelligence curse,” where automation of all work removes incentives for states and companies to care about ordinary people. It frames the trillion-dollar race toward AGI as not just an economic shift, but a transformation in power dynamics and huma...

Audio versions of blogs and papers from BlueDot courses. By Luke Drago and Rudolf Laine This piece explores key arguments from sections 3 and 4 of The Intelligence Curse , continuing the authors’ analysis of how increasing intelligence can create paradoxical disadvantages, tradeoffs, and coordination challenges. Source: https://intelligence-curse.ai/ A podcast by BlueDot Impact .

Audio versions of blogs and papers from BlueDot courses. By Bill Drexel and Caleb Withers This report considers how rapid AI advancements could reshape biosecurity risks, from bioterrorism to engineered superviruses, and assesses which interventions are needed today. It situates these risks in the history of American biosecurity and offers recommendations for policymakers to curb catastrophic thre...

Audio versions of blogs and papers from BlueDot courses. By Kyle Hiebert The global spread of large language models is heightening concerns that extremists could leverage AI to develop or deploy biological weapons. While some studies suggest chatbots only marginally improve bioterror capabilities compared to internet searches, other assessments show rapid year-on-year gains in AI systems’ ability...

Audio versions of blogs and papers from BlueDot courses. By Tomas Pueyo This blog post traces AI's rapid leap from high school to PhD-level intelligence in just two years, examines whether physical bottlenecks like computing power can slow this acceleration, and argues that recent efficiency breakthroughs suggest we're approaching an intelligence explosion. Source: https://unchartedterri...

Audio versions of blogs and papers from BlueDot courses. By Sarah Hastings-Woodhouse Most experts agree that AGI is possible. They also agree that it will have transformative consequences. There is less consensus about what these consequences will be. Some believe AGI will usher in an age of radical abundance. Others believe it will likely lead to human extinction. One thing we can be sure of is t...

Audio versions of blogs and papers from BlueDot courses. By Sam Altman, Greg Brockman, Ilya Sutskever OpenAI's leadership outline how humanity might govern superintelligence, proposing international oversight with inspection powers similar to nuclear regulation. They argue the AI systems arriving this decade will be "more powerful than any technology yet created" and their control c...

Audio versions of blogs and papers from BlueDot courses. By Ethan Mollick This post explains the "scaling laws" that drive rapid AI progress: when you make AI models bigger and train them with more computing power, they get smarter at most tasks. The piece also introduces a second scaling law, where AI performance improves by spending more time "thinking" before responding. Sou...

Audio versions of blogs and papers from BlueDot courses. By Thomas Kwa et al. We propose measuring AI performance in terms of the length of tasks AI agents can complete. We show that this metric has been consistently exponentially increasing over the past 6 years, with a doubling time of around 7 months. Extrapolating this trend predicts that, in under a decade, we will see AI agents that can inde...

Audio versions of blogs and papers from BlueDot courses. By Tim Urban Tim Urban uses historical analogies to show why AI progress might accelerate much faster than we expect, and how AI systems could rapidly self-improve from human-level to superintelligent capabilities. Source: https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html A podcast by BlueDot Impact .

Audio versions of blogs and papers from BlueDot courses. By Helen Toner Helen Toner, former OpenAI board member, reveals how the AI timeline debate has compressed: even conservative experts who once dismissed advanced AI concerns now predict human-level systems within decades. Rapid AI progress has shifted from a fringe prediction to mainstream expert consensus. Source: https://helentoner.substack...

Audio versions of blogs and papers from BlueDot courses. By Tim Fist, Tao Burga, and Tim Hwang The Institute for Progress lays out how the US Government could shape the development of AI towards human flourishing by accelerating beneficial AI applications and defences against societal harms. Source: https://ifp.org/favicon/preparing-for-launch A podcast by BlueDot Impact .

Audio versions of blogs and papers from BlueDot courses. By Sam Altman This blog post offers a vivid, optimistic vision of rapid AI progress from the CEO of OpenAI. Altman suggests that the accelerating technological change will feel "impressive but manageable," and that there are serious challenges to confront/ Source: https://blog.samaltman.com/the-gentle-singularity A podcast by BlueD...

Audio versions of blogs and papers from BlueDot courses. By Joshua Krook What might sustainable human progress look like, beyond pure technological acceleration? This essay provides an alternative vision, based on communities living in greater harmony with each other and with nature, alongside advanced technologies. Source: https://newintrigue.com/2025/01/29/solarpunk-a-vision-for-a-sustainable-fu...

Audio versions of blogs and papers from BlueDot courses. By Iskander Rehman, Karl P. Mueller, Michael J. Mazarr This RAND article describes some of the international dynamics driving the race to AGI between the US and China, and analyses whether nuclear deterrence logic applies to this race. Source: https://www.rand.org/pubs/commentary/2025/03/seeking-stability-in-the-competition-for-ai-advantage....

Audio versions of blogs and papers from BlueDot courses. By Sigal Samuel (Vox Future Perfect) Even "safety-first" AI companies like Anthropic face market pressure that can override ethical commitments. This article demonstrates the constraints facing AI companies, and why voluntary corporate governance can't solve coordination problems alone. Source: https://archive.ph/ A podcast by...

Audio versions of blogs and papers from BlueDot courses. By Helen Toner This essay describes AI safety policies that rely on centralised control (surveillance, fewer AI projects, licensing regimes) as "stasist" approaches that sacrifice innovation for stability. Toner argues we need "dynamist" solutions to the risks from AI that allow for decentralised experimentation, creativi...

Audio versions of blogs and papers from BlueDot courses. By Tom Davidson, Lukas Finnveden and Rose Hadshar.  The development of AI that is more broadly capable than humans will create a new and serious threat: AI-enabled coups . An AI-enabled coup could be staged by a very small group, or just a single person, and could occur even in established democracies. Sufficiently advanced AI will introduce...

Audio versions of blogs and papers from BlueDot courses. Generative AI allows people to produce piles upon piles of images and words very quickly. It would be nice if there were some way to reliably distinguish AI-generated content from human-generated content. It would help people avoid endlessly arguing with bots online, or believing what a fake image purports to show. One common proposal is tha...

Audio versions of blogs and papers from BlueDot courses. Research in mechanistic interpretability seeks to explain behaviors of machine learning (ML) models in terms of their internal components. However, most previous work either focuses on simple behaviors in small models or describes complicated behaviors in larger models with broad strokes. In this work, we bridge this gap by presenting an exp...