Track AI narratives across long-form interviews
Compare public AI discussions, launch narratives, model claims, and research themes across creators and channels.
YouTube topic showcases
Explore structured examples from public AI interviews, podcasts, demos, and long-form discussions. Each showcase demonstrates how Crawlora can turn YouTube transcripts, comments, metadata, and topic summaries into workflow-ready JSON for RAG, market research, creator intelligence, and AI trend monitoring.
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.
Compare public AI discussions, launch narratives, model claims, and research themes across creators and channels.
Use timestamped transcript excerpts to power searchable archives, RAG pipelines, and internal research tools.
Combine comments with transcript context to understand how viewers react to AI product, safety, and market discussions.
Store transcript passages with video metadata so LLM workflows can cite source context clearly.
Use normalized topic summaries to monitor AI themes by channel, guest, format, and publish date.
Showcase grid
Showing 24 structured records from 115 matching public YouTube showcases.
PBD Podcast #807 is a business-and-news roundup anchored by a heated reaction to Ferrari’s latest all-electric car and concerns about depreciation and brand direction. The conversation then moves through political, economic, and cultural headlines, including New York real estate rhetoric, oil prices, Alberta separatism, Middle East diplomacy, youth employment, AI, and business-building lessons.
In this PBD Podcast episode, the hosts cover a wide range of current events, led by speculation about a possible U.S.-Iran agreement and what it could mean for nuclear materials, sanctions, and regional shipping routes. The conversation also includes White House security headlines, reported threats tied to Ivanka Trump, and a mention of Hasan Piker facing a subpoena-related issue. Along the way, the panel reacts to Memorial Day, shares a prayer, and briefly touches on business and education topics, including AI’s impact on consulting and discounted MBA programs.
In this All-In episode, the hosts and guest Gavin Baker discuss Andrej Karpathy joining Anthropic, the promise of recursive self-improvement, and the possibility of faster AI gains through new model architectures. The conversation also touches on how AI should be framed: as a source of user utility and productivity, not just a source of fear. Comments show strong engagement, with praise for the episode’s depth alongside debate about AI’s impact on labor and transparency in product rollouts.
In this PBD Podcast roundup, the hosts move quickly through politics, business, and culture, covering a reported heated Trump call, Iran-related headlines, AI and big-tech developments, and a discussion of AOC’s data center visit. The excerpt also previews additional topics like legal cases, media clips, and viral stories that shape the broader episode.
In this excerpt from The Joe Rogan Experience, Joe Rogan and Skylar Grey discuss the emotional core of songwriting, the growing role of AI in music, and what still makes human creativity distinct. Skylar Grey also shares parts of her early life in music, from performing with her mother as a child to eventually striking out as a solo artist.
In this excerpt from The Joe Rogan Experience, Joe Rogan and Marc Andreessen focus on crime in Austin and Chicago, and the controversy around public-safety technology like Flock and ShotSpotter. Andreessen describes how camera and audio systems can help police respond faster, while Rogan presses the concerns about mass surveillance, abuse, and political backlash. The discussion also touches on crime reporting, trust in local governments, and the tension between privacy and enforcement.
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 Prof G Markets livestream, Aswath Damodaran discusses the AI boom, market resilience, geopolitical risk, and sky-high private-market valuations. He warns that the current wave of AI investment is more deeply tied to the macroeconomy than the dot-com era, meaning a correction could spread beyond tech and create a longer economic hangover. The excerpt also explores why markets have stayed resilient despite conflict, how earnings forecasts are holding up, and what really justifies trillion-dollar valuations for companies like Anthropic and SpaceX.
All-In Podcast examines Elon’s reported Anthropic-related compute deal, the scarcity of power and GPU supply in AI, and the possibility of a new hyperscaler-like winner in the market. The hosts also debate valuation, infrastructure buildout, and the political backlash shaping the AI boom.
In this episode excerpt, Joe Rogan talks with Julia Mossbridge about her scientific background and her interest in precognition, intuition, and exceptional human performance. The conversation explores how culture, academia, and online platforms shape what people feel safe discussing, and why curiosity and open-mindedness matter when examining unconventional ideas.
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.
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 conversation, Jensen Huang discusses how AI has evolved from generative systems to reasoning and agentic tools that can understand intention, plan, and take action. He outlines the enormous compute and infrastructure demands created by this shift, describing AI as a transformation that is reinventing the computer industry and driving new investment in chips, factories, data centers, and energy. The discussion also explores U.S. re-industrialization, supply-chain constraints, and the opportunity to modernize power infrastructure as AI adoption accelerates.
In this excerpt, Scott Galloway discusses the rapid damage to AI’s public image, arguing that much of the fear around job loss may be strategic hype rather than a clear reading of the data. He says the strongest enthusiasm for AI is concentrated among wealthier people, while many others mainly experience higher costs and uncertainty. The conversation also examines whether AI will replace jobs or ultimately create more employment, with debate over hiring trends, productivity gains, and the possibility of serious disruption in specific industries.
In this All-In Podcast segment, the hosts react to reporting that OpenAI missed internal user and revenue goals while still pushing toward massive compute commitments and a possible IPO. The discussion contrasts OpenAI’s recent product gains with Anthropic’s challenges, then broadens into the bigger AI infrastructure battle: power, data centers, grid capacity, and the hyperscalers positioned to benefit. The excerpt also references the Elon Musk vs. Sam Altman legal backdrop and how capital constraints could shape the next phase of the AI market.
In this blackboard-style lecture, Reiner Pope walks through how large language models are served in practice, using transformer inference on a GPU cluster to explain why latency and cost behave the way they do. The excerpt focuses on batch size, memory bandwidth, compute throughput, and KV cache fetches, showing how these factors create trade-offs between speed, throughput, and price. It also frames why different serving modes can offer faster token streaming at higher cost.
In this All-In Podcast excerpt, the hosts discuss New York City’s proposed pied-à -terre tax and whether it could reduce demand for second homes, slow development, and shift capital to other markets. The conversation also contrasts restrictive housing policy in blue-state cities with more permissive building in places like Austin, while touching on broader concerns about market behavior, wealthy buyers, and city vitality.
In this episode of The Diary Of A CEO, the conversation centers on a geopolitical risk report and the idea that the U.S. has become a major source of global uncertainty. The excerpt also explores China’s long-term buildup in critical minerals and electric vehicle supply chains, the possibility of a weaker global order without clear leadership, and the role of AI as a hidden systemic risk. The tone is serious but leaves room for a final question: whether these disruptions can be turned into something better.
In this excerpt, Jensen Huang pushes back on the idea that AI will automatically commoditize Nvidia. He describes Nvidia as the middle of a complex “electrons to tokens” transformation and says the hard part is the engineering, science, and ecosystem coordination required to make tokens valuable. The discussion also explores whether Nvidia’s moat depends on locking up scarce upstream components like memory, packaging, and EUV capacity, and Huang argues that demand signals, partner alignment, and long-term supply chain planning are what let the company scale.
In this episode, the hosts discuss the Musk vs. OpenAI lawsuit, the scale of current AI valuations, and the possibility of rapid white-collar job replacement. The excerpt frames AI as an unusually fast-moving economic force, with the conversation also touching on xAI’s internal reorganization and the broader race among frontier labs.
In this All-In Podcast episode, the hosts react to Anthropic’s decision to hold back its Mythos model after reported cyber capabilities and thousands of discovered vulnerabilities. The discussion centers on whether the move reflects genuine safety concerns, competitive strategy, or both, alongside broader reflections on AI release practices and defensive coordination.
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 episode excerpt features Joe Rogan and Duncan Trussell moving from a joke about humming copyrighted music into a broader conversation about AI, surveillance, and the speed of modern technological change. They reference ChatGPT safety limits, local model customization, quantum terminology, and the unsettling possibilities of powerful new tools.
In this excerpt, Sundar Pichai looks back on Google’s AI history and forward to its future, explaining how research like Transformers was driven by product needs and quickly applied inside Search. He also discusses why speed, latency, and vertical integration matter at Google, and how Search may evolve into a more agentic interface that helps users complete tasks over time.
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
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