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  • How AI is Revolutionizing Writing: Insights from Tyler Cowen and David Perell

    TLDW/TLDR

    Tyler Cowen, an economist and writer, shares practical ways AI transforms writing and research in a conversation with David Perell. He uses AI daily as a “secondary literature” tool to enhance reading and podcast prep, predicts fewer books due to AI’s rapid evolution, and emphasizes the enduring value of authentic, human-centric writing like memoirs and personal narratives.

    Detailed Summary of Video

    In a 68-minute YouTube conversation uploaded on March 5, 2025, economist Tyler Cowen joins writer David Perell to explore AI’s impact on writing and research. Cowen details his daily AI use—replacing stacks of books with large language models (LLMs) like o1 Pro, Claude, and DeepSeek for podcast prep and leisure reading, such as Shakespeare and Wuthering Heights. He highlights AI’s ability to provide context quickly, reducing hallucinations in top models by over tenfold in the past year (as of February 2025).

    The discussion shifts to writing: Cowen avoids AI for drafting to preserve his unique voice, though he uses it for legal background or critiquing drafts (e.g., spotting obnoxious tones). He predicts fewer books as AI outpaces long-form publishing cycles, favoring high-frequency formats like blogs or Substack. However, he believes “truly human” works—memoirs, biographies, and personal experience-based books—will persist, as readers crave authenticity over AI-generated content.

    Cowen also sees AI decentralizing into a “Republic of Science,” with models self-correcting and collaborating, though this remains speculative. For education, he integrates AI into his PhD classes, replacing textbooks with subscriptions to premium models. He warns academia lags in adapting, predicting AI will outstrip researchers in paper production within two years. Perell shares his use of AI for Bible study, praising its cross-referencing but noting experts still excel at pinpointing core insights.

    Practical tips emerge: use top-tier models (o1 Pro, Claude, DeepSeek), craft detailed prompts, and leverage AI for travel or data visualization. Cowen also plans an AI-written biography by “open-sourcing” his life via blog posts, showcasing AI’s potential to compile personal histories.

    Article Itself

    How AI is Revolutionizing Writing: Insights from Tyler Cowen and David Perell

    Artificial Intelligence is no longer a distant sci-fi dream—it’s a tool reshaping how we write, research, and think. In a recent YouTube conversation, economist Tyler Cowen and writer David Perell unpack the practical implications of AI for writers, offering a roadmap for navigating this seismic shift. Recorded on March 5, 2025, their discussion blends hands-on advice with bold predictions, grounded in Cowen’s daily AI use and Perell’s curiosity about its creative potential.

    Cowen, a prolific author and podcaster, doesn’t just theorize about AI—he lives it. He’s swapped towering stacks of secondary literature for LLMs like o1 Pro, Claude, and DeepSeek. Preparing for a podcast on medieval kings Richard II and Henry V, he once ordered 20-30 books; now, he interrogates AI for context, cutting prep time and boosting quality. “It’s more fun,” he says, describing how he queries AI about Shakespearean puzzles or Wuthering Heights chapters, treating it as a conversational guide. Hallucinations? Not a dealbreaker—top models have slashed errors dramatically since 2024, and as an interviewer, he prioritizes context over perfect accuracy.

    For writing, Cowen draws a line: AI informs, but doesn’t draft. His voice—cryptic, layered, parable-like—remains his own. “I don’t want the AI messing with that,” he insists, rejecting its smoothing tendencies. Yet he’s not above using it tactically—checking legal backgrounds for columns or flagging obnoxious tones in drafts (a tip from Agnes Callard). Perell nods, noting AI’s knack for softening managerial critiques, though Cowen prefers his weirdness intact.

    The future of writing, Cowen predicts, is bifurcated. Books, with their slow cycles, face obsolescence—why write a four-year predictive tome when AI evolves monthly? He’s shifted to “ultra high-frequency” outputs like blogs and Substack, tackling AI’s rapid pace. Yet “truly human” writing—memoirs, biographies, personal narratives—will endure. Readers, he bets, want authenticity over AI’s polished slop. His next book, Mentors, leans into this, drawing on lived experience AI can’t replicate.

    Perell, an up-and-coming writer, feels the tension. AI’s prowess deflates his hard-earned skills, yet he’s excited to master it. He uses it to study the Bible, marveling at its cross-referencing, though it lacks the human knack for distilling core truths. Both agree: AI’s edge lies in specifics—detailed prompts yield gold, vague ones yield “mid” mush. Cowen’s tip? Imagine prompting an alien, not a human—literal, clear, context-rich.

    Educationally, Cowen’s ahead of the curve. His PhD students ditch textbooks for AI subscriptions, weaving it into papers to maximize quality. He laments academia’s inertia—AI could outpace researchers in two years, yet few adapt. Perell’s takeaway? Use the best models. “You’re hopeless without o1 Pro,” Cowen warns, highlighting the gap between free and cutting-edge tools.

    Beyond writing, AI’s horizon dazzles. Cowen envisions a decentralized “Republic of Science,” where models self-correct and collaborate, mirroring human progress. Large context windows (Gemini’s 2 million tokens, soon 10-20 million) will decode regulatory codes and historical archives, birthing jobs in data conversion. Inside companies, he suspects AI firms lead secretly, turbocharging their own models.

    Practically, Cowen’s stack—o1 Pro for queries, Claude for thoughtful prose, DeepSeek for wild creativity, Perplexity for citations—offers a playbook. He even plans an AI-crafted biography, “open-sourcing” his life via blog posts about childhood in Fall River or his dog, Spinosa. It’s low-cost immortality, a nod to AI’s archival power.

    For writers, the message is clear: adapt or fade. AI won’t just change writing—it’ll redefine what it means to create. Human quirks, stories, and secrets will shine amid the deluge of AI content. As Cowen puts it, “The truly human books will stand out all the more.” The revolution’s here—time to wield it.

  • Revolutionizing Material Discovery with Deep Learning: A Leap Forward in Scientific Advancement

    Revolutionizing Material Discovery with Deep Learning: A Leap Forward in Scientific Advancement

    In a groundbreaking study, researchers have harnessed the power of deep learning to significantly advance the field of material science. By scaling up machine learning for materials exploration through large-scale active learning, they have developed models that accurately predict material stability, leading to the discovery of a vast array of new materials.

    The Approach: GNoME and SAPS

    Central to this achievement is the Graph Networks for Materials Exploration (GNoME) framework. This involves the generation of diverse candidate structures, including new methods like symmetry-aware partial substitutions (SAPS), and the use of state-of-the-art graph neural networks (GNNs). These networks enhance the modeling of material properties based on structure or composition.

    Unprecedented Discoveries

    The GNoME models have unearthed over 2.2 million structures stable with respect to previously known materials. This represents an order-of-magnitude expansion from all previous discoveries, with the updated convex hull comprising 421,000 stable crystals. Impressively, these models accurately predict energies and have shown emergent generalization capabilities, enabling accurate predictions of structures with multiple unique elements, previously a challenge in the field.

    Efficient Discovery and Validation

    The process involves two frameworks: generating candidates and filtering them using GNoME. This approach allows a broader exploration of crystal space without sacrificing efficiency. The filtered structures are then evaluated using Density Functional Theory (DFT) computations, contributing to more robust models in subsequent rounds of active learning.

    Active Learning and Scaling Laws

    A core aspect of this research is active learning, where candidate structures are continually refined and evaluated. This iterative process leads to an improvement in the prediction error and hit rates of the GNoME models. Consistent with scaling laws in deep learning, the performance of these models improves significantly with additional data, suggesting potential for further discoveries.

    Impact and Future Prospects

    The GNoME models found 381,000 new materials living on the updated convex hull and identified over 45,500 novel prototypes, demonstrating substantial gains in discovering materials with complex compositions. Additionally, the similarity in phase-separation energy distribution compared to the Materials Project validates the stability of these new materials.

    This study represents a significant leap in the field of material science, demonstrating the potential of deep learning in discovering new materials. The GNoME models’ capability to predict the stability of a vast array of materials paves the way for future advancements in various scientific and technological domains.

    Why It Matters

    The discovery of over 2.2 million new stable materials using deep learning signifies a pivotal advancement in materials science. This technology opens up new avenues for innovation across numerous industries, including energy, electronics, and medicine. The efficient and accurate prediction models streamline the material discovery process, reducing the time and resources traditionally required for such endeavors. This revolution in material discovery stands to significantly impact future technological advancements, making this research not only a scientific breakthrough but a cornerstone for future developments in various fields.

  • Exciting Cosmic Event: Scientists Witness a Black Hole’s Jet Change Direction for the First Time

    Exciting Cosmic Event: Scientists Witness a Black Hole's Jet Change Direction for the First Time

    For the first time in the annals of space observation, scientists have managed to record a landmark event – a black hole changing the direction of its jet. The black hole in focus is named V404 Cygni and it is located about 7,800 light-years away from our home planet, Earth.

    Back in 2015, V404 Cygni garnered attention when it briefly became the most luminous black hole detected. At the time, it was tracked and studied by scientists who were intrigued by its exceptional brightness. During this period of observation, scientists noticed something unprecedented. They saw the black hole’s jet, essentially a high-energy stream of particles, shift its direction.

    This particular occurrence is highly uncommon and unusual. A black hole’s jet, as a rule of thumb, tends to stream in one steady direction. This is determined by the angular momentum of the black hole itself, which results in a steady, single-directional jet of particles. Thus, witnessing a black hole’s jet shift its direction was both remarkable and intriguing, marking a significant moment in astrophysics.

    The phenomena observed has led scientists to hypothesize that the cause of this directional change is the black hole’s accretion disk. This disk, composed of a swirling ring of gas and debris, orbits the black hole. The unique structure of V404 Cygni’s accretion disk, influenced by gravitational forces, might be creating the necessary conditions for this anomaly.

    Unraveling this mystery holds potential for significant advancements in our understanding of black holes. The mechanism behind a black hole’s jet changing direction could offer insights into the dynamic nature of these cosmic giants. It also suggests the possibility that black holes could be more complex and unpredictable than previously believed. This discovery, therefore, has sparked considerable excitement among scientists and is likely to lead to further detailed studies and research on the behavior of black holes.

  • Mastering the Art of Asking Questions: The Key to Successful Communication and Understanding

    Mastering the Art of Asking Questions: The Key to Successful Communication and Understanding

    Asking questions is one of the most fundamental forms of communication, yet it is often overlooked and undervalued. However, mastering the art of asking questions can be the key to successful communication and understanding in a wide range of scenarios, from personal and professional relationships to teaching and learning. This article will explore the importance of asking questions and the benefits that come with mastering this vital skill.

    First and foremost, asking questions is essential for engagement. When people are asked questions, they feel valued and heard, which can help to foster a sense of connection and understanding. Good questions can also help to encourage others to open up and share their thoughts and ideas, which can lead to increased collaboration and teamwork. When people feel engaged, they are more likely to be invested in the conversation and more willing to share their ideas, making it easier to reach a solution or consensus.

    Another important aspect of asking questions is relevance. Questions that are relevant to the topic at hand can help to guide the conversation and ensure that everyone is on the same page. Relevant questions can also help to clarify misunderstandings and ensure that everyone has a clear understanding of the topic. Asking relevant questions can help to create a more productive and efficient conversation, as it helps to avoid unnecessary detours and keep the conversation focused on the most important issues.

    Feedback is another important aspect of asking questions. By asking questions, you can receive feedback from others, which can help you to improve and grow. Feedback can also help you to better understand how others perceive you and your ideas, which can be particularly valuable in a professional context. Good questions can also help to create a more open and honest dialogue, which can foster a sense of trust and respect.

    Confidence is another benefit of mastering the art of asking questions. When you are confident in your ability to ask questions, you are more likely to participate in conversations and engage with others. This can help to build your reputation as someone who is knowledgeable, curious, and interested in others. Confidence in your questioning skills can also help to reduce anxiety and stress in social situations, which can make it easier to connect with others and build meaningful relationships.

    In addition to these benefits, asking questions can also help to promote deeper understanding and insight. By asking questions, you can gain a better understanding of the topic at hand and the perspectives of others. Good questions can also help you to uncover hidden information and gain new insights into a topic. Asking questions can also help to stimulate critical thinking and problem solving, as it encourages you to think more deeply and creatively about a topic.

    Another important aspect of asking questions is active listening. Asking questions is not just about asking the right questions, but also about listening to the answers. Good questions can help to encourage active listening, which is the process of truly paying attention to what others are saying. Active listening can help to build empathy and understanding, which can be particularly important in personal and professional relationships.

    Asking questions can also be useful in a variety of other contexts, including interviewing, research, teaching, and learning. Interviews, for example, are a great opportunity to ask questions and gain a better understanding of a person’s experiences, skills, and perspectives. In a research context, asking questions can help to identify gaps in knowledge and guide further investigation. When it comes to teaching and learning, asking questions can help to clarify concepts and encourage students to engage with the material more deeply.

    In a professional context, asking questions can be useful in a variety of scenarios, including negotiation, facilitation, mentoring, coaching, and leadership. Asking questions can help to facilitate more productive and effective negotiations by encouraging open communication and helping to identify common goals. In a facilitation context, asking questions can help to encourage participation and ensure that all voices are heard. In a mentoring or coaching context, asking questions can help to encourage growth and development by providing guidance and feedback. Finally, in a leadership context, asking questions can help to build trust and encourage collaboration by showing that you are open to hearing different perspectives and ideas.

    Mastering the art of asking questions is a vital skill that can bring many benefits, including increased engagement, deeper understanding, relevance, feedback, and confidence. Whether in a personal or professional context, asking questions can help to foster meaningful relationships and encourage critical thinking, problem solving, and creativity. Whether you are looking to improve your interpersonal skills, build better relationships, or simply become a better communicator, focusing on your questioning skills can be a great place to start.

    Further topics for exploration:

    The role of empathy in asking questions
    The impact of body language and nonverbal communication on asking questions
    The impact of cultural differences on asking questions
    The impact of technology on asking questions in a digital age
    Techniques for asking more effective questions in different contexts.

  • Unlock the Power of Introverts: A Review of Susan Cain’s “Quiet”

    Unlock the Power of Introverts: A Review of Susan Cain's "Quiet"

    “Quiet: The Power of Introverts in a World That Can’t Stop Talking” is a nonfiction book written by Susan Cain that explores the topic of introversion and the cultural bias towards extroversion. The book delves into the societal expectation that individuals should be outgoing and sociable, and how this expectation can lead to introverts being overlooked and undervalued.

    Cain argues that society has a tendency to value extroversion over introversion, and that this bias is deeply ingrained in our culture. She provides research and personal anecdotes to support her claims and offers solutions for a more balanced and inclusive society. The book explores the various facets of introversion and its effects on personal relationships, the workplace, and education.

    The author also explores how introverts are often misunderstood and how they are perceived as being shy or aloof, when in fact, they simply prefer to process information internally and may be more reflective or contemplative in nature. Cain also examines how introverts are often overlooked in the classroom and in the workplace, despite their unique strengths and talents.

    One of the main themes in the book is how introverts can be successful in a world that values extroversion. Cain provides examples of successful introverts, including J.K. Rowling and Steve Wozniak, and argues that introverts can be just as successful as extroverts if they are given the opportunity to work in environments that suit their personalities.

    The book also examines the impact of technology on introversion and extroversion. It suggests that social media and other forms of technology have made it easier for introverts to connect with others, but at the same time, it has increased the pressure for people to be constantly connected and available.

    Overall, “Quiet” is a thought-provoking and enlightening read that aims to empower introverts and change the way society views and values introversion. It provides valuable insights into the unique strengths and talents of introverts and how they can be successful in a world that often prioritizes extroversion. The book is well-researched and well-written, making it a must-read for anyone interested in understanding the power of introversion and the impact of societal expectations on individuals.

  • Meet Lex Fridman: AI Researcher, Professor, and Podcast Host

    Lex Fridman is a research scientist and host of the popular podcast “AI Alignment Podcast,” which explores the future of artificial intelligence and its potential impact on humanity.

    Fridman was born in Moscow, Russia and immigrated to the United States as a child. He received his bachelor’s degree in computer science from the University of Massachusetts Amherst and his Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT).

    After completing his Ph.D., Fridman worked as a postdoctoral researcher at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) where he focused on developing autonomous systems, including self-driving cars. In 2016, he joined the faculty at MIT as an assistant professor in the Department of Electrical Engineering and Computer Science.

    In addition to his work as a researcher and professor, Fridman is also a popular public speaker and media personality. He has given numerous talks and interviews on artificial intelligence and its potential impact on society.

    Fridman is best known for his podcast “AI Alignment Podcast,” which he started in 2018. The podcast features in-depth interviews with experts in the field of artificial intelligence, including researchers, engineers, and philosophers. The goal of the podcast is to explore the complex and often controversial issues surrounding the development and deployment of artificial intelligence, and to stimulate thoughtful and nuanced discussions about its future.

    Some of the topics that Fridman and his guests have discussed on the podcast include the ethics of artificial intelligence, the potential risks and benefits of AI, and the challenges of ensuring that AI systems behave in ways that align with human values.

    In addition to his work as a researcher and podcast host, Fridman is also active on social media, where he shares his thoughts and insights on artificial intelligence and other topics with his followers.

    Overall, Fridman is a thought leader in the field of artificial intelligence and a respected voice on the future of this rapidly-evolving technology. His podcast and social media presence provide a valuable platform for exploring the complex and important issues surrounding the development and deployment of artificial intelligence, and for engaging in thoughtful and nuanced discussions about its future.