31:45Long-form

"GPU 쓸 곳이 없어요." AI 시대 한국이 '멘붕'에 빠진 이유ㅣ지식인초대석 EP.88 (김대식 교수)

South KoreaPublished January 3, 2026

Views 4.80M  |  Likes 71.9K  |  Comments 3.48K
Views#1,666,980Global
Views#27,744South Korea

Channel

지식인사이드지식인사이드
4.15M subs•1.49K videos•Dec 2009

At a glance

Views

4,808,103

Likes

71,922

Comments

3,488

Performance vs. channel

All-time outlier score

Engagement rate

Revenue estimate

Details →

Total (all-time): $3.36K – $9.61K

Based on estimated $0.7–$2 CPM.

About

오늘은 카이스트 뇌과학자, 김대식 교수님을 모시고 AI로 인해 달라질 산업 지평에 대해 들어봤습니다. 영상이 유익 했다면 구독!! 영상이 재밌으셨다면 좋아요 버튼을 눌러주세요! #김대식 #지식인사이드 #AI #빅테크 #한국AI 📘김대식 교수님의 저서 [AGI, 천사인가 악마인가] https://product.kyobobook.co.kr/detail/S000217325457 00:00 인트로 00:22 구독자 인사 01:31 챗GPT 등장 후 불과 3년만에 벌어진 일 03:17 AI 시대에 한국이 ‘멘붕’에 빠진 이유 08:38 이번주 주말에 AI로 ‘이것…

Published
January 3, 2026
Made for kids
No

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How "GPU 쓸 곳이 없어요." AI 시대 한국이 '멘붕'에 빠진 이유ㅣ지식인초대석 EP.88 (김대식 교수) is doing

It has 4.80M views in total. It ranks #1,666,980 among tracked YouTube videos by views.

Key facts about "GPU 쓸 곳이 없어요." AI 시대 한국이 '멘붕'에 빠진 이유ㅣ지식인초대석 EP.88 (김대식 교수)

Total views
4.80M
Total likes
71.9K
Total comments
3.48K
Published
January 3, 2026
Global rank by views
#1,666,980

Frequently asked questions

How many views does "GPU 쓸 곳이 없어요." AI 시대 한국이 '멘붕'에 빠진 이유ㅣ지식인초대석 EP.88 (김대식 교수) have?

"GPU 쓸 곳이 없어요." AI 시대 한국이 '멘붕'에 빠진 이유ㅣ지식인초대석 EP.88 (김대식 교수) has 4,808,103 views, 71,922 likes and 3,488 comments, ranking #1,666,980 among tracked YouTube videos by views.

How accurate are these YouTube video analytics?

View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.

What is the outlier score?

How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.

What is engagement rate and how is it calculated?

Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.

How is the revenue estimate calculated?

It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.

Is this YouTube video analytics checker free?

Yes. You get 10 free channel and video analytics lookups per 24 hours without an account — logging in, which is also free, removes that limit entirely.