Index long-form conversations
Convert long interviews into timestamped transcript passages for search, notes, and semantic retrieval.
YouTube topic showcases
Explore long-form public podcast and interview examples where transcripts, public comments, metadata, topics, and summaries become structured JSON for searchable archives, episode intelligence, guest research, and AI-assisted review workflows.
What this topic demonstrates
These examples focus on lawful public YouTube data workflows: public video metadata, available transcript excerpts, visible public comments, topic summaries, and downstream analysis records.
Convert long interviews into timestamped transcript passages for search, notes, and semantic retrieval.
Use structured summaries to make multi-hour videos easier to scan and compare.
Combine public comments with episode context to identify questions, praise, objections, and recurring themes.
Keep metadata and topic labels attached to each video record for downstream joins.
Showcase grid
Showing 24 primary or secondary records from 243 matching public YouTube showcases.
In this Lex Fridman conversation with Sebastian Raschka and Nathan Lambert, the discussion centers on the state of AI heading into 2026. The excerpt covers major model releases, the impact of the DeepSeek moment, open-weight models, competition between U.S. and Chinese labs, and how products like Claude, Gemini, and ChatGPT are shaping user behavior. It also touches on why organizational culture, hardware budgets, and real-world usage patterns may matter as much as raw model quality.
In this excerpt from Lex Fridman Podcast #277, Andrew Huberman talks about food habits, from extreme cheat days and fasting to his current routine of eating within a daily window. The discussion also ranges across favorite foods, appetite changes, and a brief exchange about sauna use and its possible health benefits.
In this Lex Fridman conversation, Peter Steinberger talks about the rapid rise of OpenClaw, an open-source AI agent that connects to personal tools and messaging apps to do useful work. The excerpt focuses on the one-hour prototype, the role of WhatsApp and CLI automation, the value of image-based prompts, and the broader shift from ideas to actions in AI-assisted software development.
In this Lex Fridman Podcast conversation, Rick Beato discusses the roots of his love for music, the power of guitar solos, and the lineage of major guitar influences. The excerpt also covers Django Reinhardt, bebop, improvisation, perfect pitch, relative pitch, and the basics of ear training.
In this Lex Fridman Podcast conversation, Mark Zuckerberg talks about Meta, Facebook, Instagram, and the metaverse, while Lex reflects on the role of social media in shaping public discourse and human experience. The excerpt focuses on free speech, censorship, bullying, trust, and the responsibility of platforms that connect billions of people. It also explores the future of virtual communication, including avatars, spatial audio, hands in VR, and the challenge of creating a real sense of presence online.
This All-In Podcast episode centers on the Trump-Xi summit and what success could look like for trade, stability, and U.S.-China economic cooperation. The discussion also includes Marc Benioff’s perspective on Salesforce, software in China, and the value of bringing major CEOs into the conversation, alongside broader tech and climate topics mentioned in the title.
In this excerpt from Lex Fridman’s conversation with Mark Zuckerberg, the two speak inside the metaverse using photorealistic codec avatars and spatial audio, creating a striking sense of presence across physical distance. The discussion focuses on the technology behind the avatars, the importance of subtle facial expression in human communication, and the future vision for faster scanning and more immersive remote interaction.
In this All-In Podcast interview, Sundar Pichai talks about Alphabet’s AI strategy, the evolution of Google Search, and how the company is adapting to a rapidly changing technology landscape. He discusses AI overviews, the launch of AI mode, competition from other major tech leaders, and why Google’s long-term approach is to follow the user and keep innovating.
This Lex Fridman conversation with Demis Hassabis examines DeepMind's approach to intelligence through games, neuroscience, general agents, AlphaGo, AlphaFold, AGI, consciousness, and the responsibilities that come with increasingly capable AI systems.
In this Lex Fridman conversation, Michael Levin discusses the nature of intelligence, memory, consciousness, and agency in biological systems. The excerpt focuses on his framework for understanding embodied minds, from cells and tissues to animals and other systems, through the idea of persuadability and mutual bidirectional relationships. Levin also argues that science should move beyond explanation alone toward practical tools that can help regenerate tissue, reduce suffering, and support life in all its forms.
In this Lex Fridman conversation, Dan Houser discusses the craft behind Rockstar’s most iconic worlds, including Grand Theft Auto and Red Dead Redemption. He talks about why Red Dead Redemption 2 felt especially meaningful, how GTA stayed fresh through constant innovation, and how film and literature shaped his approach to story, tone, and character. The excerpt also introduces Houser’s new company, Absurdventures, and its expanding comedy and sci-fi worlds.
In this Lex Fridman conversation, Demis Hassabis expands on a provocative idea: that many patterns in nature may be efficiently discovered and modeled by classical learning systems. The discussion moves from AlphaGo and AlphaFold to fluid dynamics, video generation, and emergent phenomena, asking whether nature’s structure can be reverse-engineered through neural networks. The episode also touches on P vs NP, information as a fundamental concept in physics, and the possibility of a new class of learnable natural systems.
In this conversation, Sam Harris speaks with Tristan Harris about the risks of AI, the limits of techno-optimism, and the importance of foresight. Drawing on lessons from social media and the history of nuclear fear, they discuss why incentives matter, how future harms can be predicted, and why public awareness may be needed to push for guardrails before a crisis forces action.
This interview explores Dan Wang’s view of China and America as competing systems with different strengths: the U.S. leading in invention and China leading in manufacturing scale-up and industrial learning. The conversation also examines China’s engineering mindset, its social costs, and why pluralism may be difficult to adopt within its political system.
This All-In Podcast episode centers on Elon Musk’s view of X, Grok, and Grokipedia, alongside broader discussion of platform algorithms, free speech, and information quality. The excerpt also features the show’s comedic “Disgraciad corner,” while viewer comments reflect enthusiasm for the episode’s humor, personalities, and product-focused ideas.
This episode excerpt features Joe Rogan, Francis Foster, and Konstantin Kisin discussing global instability, conflict narratives, and the risks of drawing conclusions before the facts are clear. The conversation touches on drone attacks, Gulf politics, Iran, Israel, Saudi Arabia, false-flag suspicions, hot-take culture, and the long shadow of U.S. foreign policy.
In this episode of The Joe Rogan Experience, Joe Rogan and Michael Shellenberger discuss the Iran attack, U.S. foreign policy, Trump’s decision-making, and the changing global order. Their exchange examines whether the administration is pursuing regime change, asserting American power, or responding to outside pressure. The episode’s comments show a strongly skeptical audience, with viewers debating trust, influence, and controversial political claims.
This JRE episode centers on George Knapp’s reporting history with Bob Lazar and the wider UFO story around Area 51 and S-4. The excerpt emphasizes how the investigation grew, how the public reacted, and how the case kept pulling Knapp deeper into the topic.
In this excerpt from Joe Rogan Experience #2453 with Evan Hafer, the discussion centers on archery, shooting technique, and the gear that shapes performance. The two compare bow grips, handle upgrades, trigger preferences, and the importance of consistency in practice. They also talk about backyard range setup, safety, and how easily archery form can slip after time away from the bow.
In this Joe Rogan Experience episode, Joe Rogan and Chamath Palihapitiya move from UFO disclosures and ancient texts to a broader theory about attention, technology, and society. Chamath argues that attention has shaped major tech eras and that the deeper issue today is a growing imbalance between labor and capital. The comments show the familiar JRE mix of humor, skepticism, and fascination with big ideas.
In this PowerfulJRE episode, Luke Grimes joins Joe Rogan for a loose, conversational interview that moves between acting, music, touring, stage fright, and the pressures of taking on new creative challenges later in life. The discussion also touches on Yellowstone, Taylor Sheridan, and the balancing act between family, work, and ambition.
In this JRE episode excerpt, Joe Rogan and Andy Stumpf move between serious reflection and easy banter. They talk about how people are shaped by the company they keep, the instinct behind Joe’s long-running guest curation, and side topics like alpha-gal syndrome, Lyme disease, and the absurdity of some fashion choices.
This showcase page presents an excerpt from Joe Rogan Experience #2472 with Jeff Ross on PowerfulJRE. The conversation includes comedy-world shoutouts, stories about dogs and rescue pets, and a light, back-and-forth interview style that moves between jokes and personal reflections.
PBD Podcast #802 mixes political commentary with business and tech updates, touching on the Massie primary, Trump’s influence, AI competition, layoffs, lending trends, and broader market anxiety.
These adjacent records mention podcasts or share nearby workflows, but they are not ranked as primary topic examples.
This FRONTLINE documentary examines how Jeff Bezos built Amazon from an online bookstore into a dominant force in modern life, while raising questions about the company’s tactics, reach, and long-term impact.
In this 80,000 Hours interview, Helen Toner reflects on the OpenAI board controversy, her role at CSET, and the geopolitics of advanced AI. The excerpt highlights how policy, technical analysis, and national-security concerns intersect in debates over AGI, chips, and China-related export controls.
In this American Museum of Natural History panel debate, Neil deGrasse Tyson introduces a wide-ranging conversation about artificial intelligence with researchers and industry voices including Latanya Sweeney, Chris Callison-Burch, Cindy Rush, Nate Soares, Kate Crawford, and Eric Schmidt. The discussion touches on AI’s rapid progress, its practical uses, and the larger questions it raises about safety, accountability, labor, and the infrastructure behind modern AI systems.
This 60 Minutes episode looks at artificial intelligence through interviews and reporting on AI pioneer Kai-Fu Lee, China’s growing AI ambitions, the data-driven nature of deep learning, and the possible impact on work, education, and society. It also turns to Google’s role in the AI race and the broader question of what machines can and cannot do.
In this Bernard Marr interview, Reid Hoffman discusses AI’s biggest opportunities, from strategic optimism and “superagency” to practical assistants, coding tools, personalization, and healthcare. He also touches on how AI may change jobs and why physical AI is likely to advance more slowly than software-based systems.
This 60 Minutes episode brings together three wide-ranging stories: Marjorie Taylor Greene’s break with President Trump and her resignation from Congress, growing criticism of Character AI from parents and researchers, and a visit to Switzerland’s Watch Valley, where traditional watchmaking methods continue to produce highly intricate luxury timepieces.
This 60 Minutes episode excerpt examines the fast-moving artificial intelligence revolution through rare access at Google, where leaders discuss Bard, hallucinations, safety concerns, and the impact of AI on jobs, information, and society. The transcript also introduces author David Grann and his research-driven storytelling.
This showcase page presents a full stand-up performance by Sarah Millican from Thoroughly Modern Millican (2012). The excerpt features her conversational stage presence, blunt sexual humor, and observations about exercise, eating, relationships, and life on her own.
This showcase page highlights Ali Siddiq’s one-hour special through a transcript excerpt about childhood, parenting, and the consequences of early choices. The material uses contrast, repetition, and vivid personal detail to create a story-driven comedy set that viewers describe as relatable, immersive, and skillfully told.
In this stand-up excerpt, Ali Siddiq turns a simple home argument into a comic battle over respect, parenting, and boxing. The routine builds from a trash-takeout demand into a full showdown at the gym, using sharp character work and escalating stakes.
This showcase page highlights Matt Rife’s full special with transcript-backed themes of independent comedy, crowd energy, family anecdotes, and relationship jokes. Viewer comments point to strong crowd work and a mix of laughter, catharsis, and inclusion.
In Part One of this FRONTLINE special, James Jacoby investigates Facebook’s early ambitions, rapid expansion, and the warnings that emerged as the platform grew into a powerful force in politics, privacy, and technology. Told through interviews with company insiders and former employees, the documentary explores the company’s mission, its move-fast culture, and the algorithmic systems behind News Feed as it asks how Facebook’s growth may have helped reshape public life.
API workflow
Crawlora's YouTube endpoints help teams collect public video context, available transcript text, visible comment signals, and metadata for search, monitoring, research, and AI workflows.
Capture video ID, channel, publish date, duration, title, and source URL for each public YouTube record.
Retrieve available transcript text and timestamped excerpts for search, summaries, citations, and RAG inputs.
Collect visible public comments where available to understand questions, objections, and audience themes.
Persist normalized JSON for dashboards, monitoring, internal search, LLM workflows, or research reports.
Internal links
Explore public AI video examples with transcripts, comments, summaries, topics, and metadata for RAG, research, creator intelligence, and trend monitoring.
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Open topicBrowse documentary-style YouTube examples with transcript excerpts, structured summaries, topics, and metadata for research, search, and AI workflows.
Open topic