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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
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YouTube video intelligence showcase

Machine Learning and AI’s Rapid Rise, from Everyday Tools to Self-Driving Cars

A WIRED film about machine learning and artificial intelligence, showing how AI is already present in daily life and how it could reshape transportation, work, and human-computer interaction.

WIREDAI in everyday lifeMachine learning basicsAutonomous driving41 min 16 secJun 20, 20196 comment sample
Transcript API Comments API Source video

Build this with Crawlora

Video intelligence API workflow

Video ID
ZJixNvx9BAc
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/ZJixNvx9BAc" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Video summary

Living in the Age of AI: a WIRED look at machine learning in daily life

This WIRED film excerpt explores how machine learning is shaping everyday technology, from smart assistants and fitness trackers to self-driving cars and DIY robotics. Through interviews, demonstrations, and classroom-style explanations, it presents AI as a rapidly advancing field built on data, sensors, and neural networks, while also acknowledging public uncertainty about where the technology is headed.

AI in daily life

Shows how artificial intelligence is already embedded in everyday routines, from smart assistants and wearables to email filters and photo tools.

How machine learning works

Explains machine learning as systems that improve through data, repetition, and connected layers inspired by the brain.

Autonomous vehicles

Highlights self-driving cars, lidar sensors, shared maps, and the promise—and limits—of autonomous driving.

Public debate and accessibility

Features demos and interviews that explore public fears, optimism, and the accessibility of AI tools to learners and hobbyists.

Topics

AI in everyday life

Examples include smart speakers, watches, email filters, photo tools, and farming applications.

Machine learning basics

The excerpt breaks down data, algorithms, sensors, and neural networks in accessible terms.

Autonomous driving

Self-driving cars are presented as a major near-term application, with lidar, shared maps, and ongoing training.

Audience comments snapshot

Audience comments highlight amazement, generational contrast, and side observations

The sampled comments mostly react to the video’s topic with a mix of amazement and humor. Several viewers focus on the contrast between older school learning and younger generations learning about neural networks, while others say the video would have been useful for classes or presentations. A few comments joke about the presentation style or point out memorable details in the footage, especially the older man’s flight simulator setup.

Sampled comments
6
Visible likes
1683
Public replies
26

Comment themes

AI as a marker of changing times

The comments reflect surprise at how quickly AI has become part of everyday learning and discussion, with some nostalgia for earlier schooling.

Humor and visual side observations

Beyond the main subject, commenters enjoy spotting unusual or charming details in the video, especially the flight simulator setup and references to pop culture.

Audience signals

Generational learning contrast

Viewers repeatedly contrast older education with current AI learning, using the neural-network line as a standout example.

Useful for classes and presentations

Several comments say the video would help with schoolwork or presentations on AI.

Flight simulator setup

The old man’s flight simulator setup gets notable attention and praise as a memorable visual detail.

Reaction to presentation style

Some viewers comment on the video’s tone or framing, describing it as spectacular or joking about its Frankenstein-like vibe.

Representative public comments

@rnhim20722020-05-31

When I was little we were memorizing multiplication and division tables. These kids are learning about neural networks.

459 likes8 replies
@camwheel2020-05-31

Cool. But can we talk about the old guy's sweet flight simulator setup?

1100 likes15 replies
@NtmiD8r2021-05-31

on one hand: This whole video feels like "Dr. Frankenstein asks public what they think of his monster" but on the other hand: This is pretty spectacular.

9 likes0 replies
@techgamershaven72312020-05-31

If the old guy is my grandfather, I think we would be talking about technologies all day long. Nice video!

11 likes0 replies
@aleah222020-05-31

I wish this video was around when I was doing a school presentation on this 😅 Thank you Wired!

72 likes1 replies
@SoCalFreelance2020-05-31

"I could spend all day in here", O RLY, have you seen Black Mirror episode San Junipero?

32 likes2 replies
Build with YouTube comments data

Use Crawlora's YouTube comments API with the video and transcript endpoints to collect viewer language, thread activity, and audience signals.

Comments API docs Playground
Build this workflow
1Fetch video metadata

Start with the video endpoint to capture ID, channel, publish date, duration, and source context.

2Fetch transcript

Pull timestamped transcript data for summarization, search, citation, and RAG preparation.

3Fetch public comments

Collect visible audience comments to identify themes, objections, questions, and engagement signals.

4Store, analyze, report

Persist structured JSON, run analysis, and publish dashboards, alerts, or research reports.

Public transcript excerpt

Transcript

Timestamped public transcript passages group captions into readable sections, making the video easier to scan, cite, and summarize.

Public excerpt
31:59

one-shot learning when you give one example and the AI system masters that that concept now on the other hand think about the revolution that's coming in the air with artificial intelligence and autonomous aerial vehicles numbering in the millions far more than the thousands of aircraft that we see today

Build with YouTube transcript data

Use Crawlora's YouTube transcript API to fetch fresh timestamped transcript data for your own server-side workflows.

API docs Sign in

Build this with Crawlora

Video intelligence API workflow

Video ID
ZJixNvx9BAc
Available APIs
TranscriptCommentsMetadata
YouTube transcript API YouTube comments API YouTube video metadata API YouTube scraping API Creator intelligence workflow Pricing Source video
Open transcript in Playground Open comments in Playground Get API key

cURL

curl "https://api.crawlora.net/api/v1/youtube/transcript/ZJixNvx9BAc" \
  -H "x-api-key: $CRAWLORA_API_KEY"