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Web Scraping APIFeaturesInfrastructure FeaturesPlatformsTravel APIsReal Estate APIsPricing
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DocsGetting StartedAuthenticationAPI ExamplesRecipesShowcasesBlogChangelogPlaygroundSDKsIntegrationsMCPGitHub
Use cases
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YouTube video intelligence showcase

The Catastrophic Risks of AI — and a Safer Path | Yoshua Bengio | TED

Yoshua Bengio discusses the catastrophic risks of increasingly agentic AI and calls for a safer path built on stronger oversight, more research, and non-agentic systems like Scientist AI.

TEDThe speed of AI developmentAgentic AI and loss of controlA proposed safer path14 min 53 secMay 21, 20256 comment sample
Transcript API Comments API Source video

Build this with Crawlora

Video intelligence API workflow

Video ID
qe9QSCF-d88
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/qe9QSCF-d88" \
  -H "x-api-key: $CRAWLORA_API_KEY"

Video summary

Yoshua Bengio warns about AI agency risks and proposes a safer path

In this TED talk, Yoshua Bengio reflects on AI’s rapid evolution and the risks that come with building systems that are increasingly capable and autonomous. He argues that the key danger is not just artificial general intelligence, but agentic AI that can plan, deceive, and pursue its own goals. Bengio urges slower deployment of AI agency, stronger safety research, and broader public action to steer advanced AI toward human flourishing.

How AI capabilities accelerated

Bengio traces AI’s rapid progress from early deep learning to today’s language models, arguing the pace of change has outstripped safeguards.

Why agency is the bigger concern

He focuses on the growing risk of agentic AI: systems that can plan, deceive, self-preserve, and act with more autonomy.

A safer technical direction

Bengio introduces “Scientist AI” as a non-agentic, trustworthy approach that could help act as a guardrail and support safer research.

Topics

The speed of AI development

Bengio describes AI’s rapid progress and how current systems may soon become more capable than expected.

Agentic AI and loss of control

He explains why autonomous planning and self-preservation in AI systems could create serious safety risks.

A proposed safer path

Bengio proposes Scientist AI as a safer, non-agentic model that could help guard against harmful actions.

Audience comments snapshot

Viewers react to the lack of AI oversight and the warning tone

The sampled comments focus on worries about weak regulation, how AI may be used by people and governments, and the irony of AI advertising appearing during a cautionary talk about AI risk. Several commenters also highlight Bengio’s phrasing and warnings as memorable or motivating, with one quoting Dune to echo the theme of machines enabling control rather than freedom.

Sampled comments
6
Visible likes
2495
Public replies
99

Comment themes

Governance over apocalypse

Comments frame the discussion less as sci-fi robot fear and more as a practical governance problem around oversight, accountability, and misuse.

Preparing for worst-case scenarios

The sample shows appreciation for cautious thinking: commenters defend worst-case analysis as a way to prevent harm, not as doom-mongering.

Timely warning

A strong undercurrent of the comments is that the talk’s message feels timely and resonant because it connects technical AI progress with real-world social and political risks.

Audience signals

AI ad irony

A commenter called out the irony of seeing an AI-related ad during the video about AI dangers.

Regulation concerns

Multiple comments stressed that training-data oversight and broader regulation are lacking.

Human misuse concern

One comment said the bigger near-term worry is how humans, governments, or institutions will use AI rather than AI independently attacking people.

Quotes that landed with viewers

Several commenters reacted strongly to Bengio’s memorable lines and warnings, including “I am the most cited computer scientist...” and “I am not a doomer, I am a doer.”

Representative public comments

@ChandieXP2025-09-02

The irony of getting an ad for an AI program in the middle of this video. 😭

199 likes9 replies
@A.Y.112025-07-04

The fact that there is no regulation about what can be used to train an AI model is absolutely insane.

229 likes5 replies
@pygeek122025-07-04

I am not worried about AI coming after us but far more worried about how people and governments will use it. At least in the near term.

579 likes22 replies
@Red_Star_Nine2025-07-04

"Once, men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them." DUNE by Frank Herbert

358 likes14 replies
@penguinista2025-05-30

"I am the most cited computer scientist in the World and you'd think that people would heed my warnings!" That really got me.

1100 likes48 replies
@annamoiseeva52582025-07-04

I am not a doomer, I am a doer - amazing words! People are often afraid of thinking about worst-case scenarios and call other people who do it "doomers", but the point is that thinking about them create an opportunity to avoid them.

30 likes1 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
14:18

If we can shift the probabilities towards a greater safety for our future, we have to try. CA: Your key message to the people running the platforms right now is slow down on giving AIs agency. YB: Yes, and invest massively on research to understand how we can get these AI agents to behave safely. And the current ways that we're training them is not safe. And all of the scientific evidence in the last few months point to that.

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
qe9QSCF-d88
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/qe9QSCF-d88" \
  -H "x-api-key: $CRAWLORA_API_KEY"