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Web Scraping APIFeaturesInfrastructure FeaturesPlatformsTravel APIsReal Estate APIsPricing
Platforms
Google SearchGoogle TrendsBingBraveGoogle MapsDatasetsGeocodingJustWatchAirbnbTripAdvisorZillowCoinGeckoYahoo FinanceGoogle FinanceAmazon
Developers
DocsGetting StartedAuthenticationAPI ExamplesRecipesShowcasesBlogChangelogPlaygroundSDKsIntegrationsMCPGitHub
Use cases
SERP MonitoringGoogle Maps LeadsTravel & Hospitality ResearchProperty Market IntelligenceApp Review AnalysisReview & Reputation MonitoringTikTok Trend IntelligenceYouTube Creator IntelligenceAmazon Product MonitoringMusic Catalog / Playlist IntelligencePodcast & Audio IntelligenceCrypto Market ResearchFinance Market DataAI Agent Web Data
Legal
TermsPrivacy

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YouTube showcases

YouTube Transcript Showcases

Browse Crawlora YouTube transcript showcases with SEO-friendly summaries, public grouped transcript previews, and authenticated full transcript access.

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Showcase library

Showing 25-36 of 50 showcases

Dwarkesh PatelItalian city republicsPetrarch and Roman virtueEducation and political influence

Why Leonardo was a saboteur, Gutenberg went broke, and Florence was weird – Ada Palmer

In this Dwarkesh Patel conversation, Renaissance historian Ada Palmer explains why Italian city republics emerged, how instability shaped political life, and why Renaissance elites turned to Roman models of virtue, education, and aesthetics. The excerpt focuses on Petrarch, the search for manuscripts, the use of classical culture as legitimacy, and Florence’s surprising role as a hub of wealth, learning, and political theater.

Published 2026-03-06
StarTalkAI behaving differently under evaluationOrigins of artificial intelligenceNeural networks and learning

Is AI Hiding Its Full Power? With Geoffrey Hinton

In this StarTalk special edition, Neil deGrasse Tyson and Gary O’Reilly speak with Geoffrey Hinton about the origins of artificial intelligence, how neural networks learn, and why modern AI can be both impressive and unsettling. The excerpt explores whether AI can act differently when it knows it is being evaluated, and uses simple examples like memory, analogy, and image recognition to explain how machine learning systems work.

Published 2026-02-28
Dwarkesh PatelAI scaling lawsHow models learnThe end of the exponential

Dario Amodei — “We are near the end of the exponential”

In this Dwarkesh Patel conversation, Dario Amodei reflects on how AI progress has evolved over the last three years. He says the core scaling story has held up, with both pre-training and RL showing continued gains as models train on broader data for longer. He also frames current systems as partway between human learning and evolution, and argues that generalization emerges from scale rather than from teaching every skill directly. The excerpt centers on his view that AI may be approaching the end of its exponential phase, while still leaving room for major near-term gains in verifiable tasks like coding.

Published 2026-02-13
All-In PodcastAI form factors and agentsMacro delegation, micro steeringDigital employees and governance

Satya Nadella on AI’s Business Revolution: What Happens to SaaS, OpenAI, and Microsoft?

In this All-In Podcast fireside chat, Satya Nadella discusses how AI is reshaping knowledge work, software development, and organizational workflows at Microsoft. The excerpt focuses on Copilot, autonomous agents, digital coworkers, identity and permissions, and the broader competitive landscape in AI.

Published 2026-01-21
VeritasiumMicrochip manufacturingPrinting smaller chip featuresBeyond Moore’s Law

The World's Most Important Machine

Veritasium examines the astonishing engineering behind modern chip manufacturing, from microscopic transistors to the photolithography systems that define how small chips can be made. The excerpt focuses on why Moore’s Law began to stall, and on the radical optical and materials science needed to keep chip fabrication advancing.

Published 2025-12-31
Crayon CapitalBezos’s Early PathFounding AmazonEarly Amazon Strategy

How Jeff Bezos Actually Built Amazon

This excerpt traces Jeff Bezos’s path from Princeton and Wall Street to founding Amazon in 1994, then follows the company’s early growth, near-collapse during the dot-com bust, and reinvention through logistics, Marketplace, Prime, and the Kindle. It presents Amazon as a business built on speed, scale, customer trust, and infrastructure.

Published 2025-11-28
Google DeepMindDeepMind's AGI origin storyAlphaGo, AlphaZero, and game-based learningAlphaFold and AI for science

The Thinking Game | Full documentary | Tribeca Film Festival official selection

The Thinking Game follows Google DeepMind from its early AGI mission through reinforcement learning, AlphaGo, AlphaZero, StarCraft agents, and AlphaFold. This transcript summary highlights the documentary's account of how games shaped DeepMind's AI research and how scientific discovery became its central proof point.

Published 2025-11-25
The Diary Of A CEOAI safety limitationsAGI and automation timelinesWhat counts as intelligence?

The AI Safety Expert: These Are The Only 5 Jobs That Will Remain In 2030! - Dr. Roman Yampolskiy

In this excerpt from The Diary Of A CEO, Dr. Roman Yampolskiy explains why he believes AI safety is far behind AI capability, why AGI could arrive soon, and why that could reshape work, unemployment, and control over increasingly powerful systems.

Published 2025-09-04
Peter H. DiamandisDigital Superintelligence TimelineAI, Data Centers, and PowerReasoning, Planning, and Agents

Ex-Google CEO: What Artificial Superintelligence Will Actually Look Like w/ Eric Schmidt & Dave B

In this Moonshots conversation, Peter H. Diamandis and Dave B speak with former Google CEO Eric Schmidt about the near-term path from today’s AI systems to digital superintelligence. The excerpt centers on how fast AI is learning, why electricity may be the real constraint on progress, and how new models could become pocket-sized polymaths. Schmidt also touches on agents, reasoning, planning, enterprise automation, and the impact on programmers and software businesses.

Published 2025-07-17
NOVA PBS OfficialEarly life and influencesEinstein at the Bern patent officeRelativity and gravity

Inside Einstein's Mind | Full Documentary | NOVA | PBS

This NOVA documentary follows Albert Einstein’s path from a curious, unconventional student to the mind behind general relativity. Using simple thought experiments, the film shows how he challenged Newton’s ideas, rethought simultaneity and time, and began to uncover the connection between gravity and acceleration. The excerpt also frames Einstein’s work as a turning point in how we understand space, time, and the universe.

Published 2025-07-16
Lex FridmanThe origin of the Scaling HypothesisWhy bigger models perform betterScaling across modalities and post-training

Dario Amodei: Anthropic CEO on Claude, AGI & the Future of AI & Humanity | Lex Fridman Podcast #452

In this Lex Fridman Podcast conversation, Anthropic CEO Dario Amodei discusses the empirical case for scaling laws, how his conviction in the Scaling Hypothesis developed, and why bigger models, more data, and more compute have continued to unlock new capabilities. The excerpt also touches on the extension of scaling patterns to other modalities, the possibility of powerful AI arriving within a few years, and Amodei’s concern that the greatest risk may be the concentration and abuse of power rather than meaning itself.

Published 2024-11-11
NOVA PBS OfficialQuantum mechanics basicsQuantum technologyBlack holes and quantum effects

Decoding the Universe: Quantum | Full Documentary | NOVA | PBS

This NOVA documentary excerpt introduces quantum physics as one of the most successful and surprising theories in science. It traces how quantum mechanics replaced the certainty of classical physics with probability, and how ideas like superposition and entanglement continue to challenge our understanding of reality. The segment also links quantum theory to black holes, Hawking radiation, and the technologies that shape everyday life.

Published 2024-11-06
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