What is the 'skinny hamburger, fat bun' problem?

The 'skinny hamburger, fat bun' problem is when AI does little work but takes up much space.

Where was the slide shown?

The slide was shown at the International Conference on Machine Learning in Seoul.

What is the problem for the future of work?

The problem is that AI does little work but takes up much space, which affects how we work in the future.

world1 outlet covering thisCalibrating

AI and the ‘skinny hamburger, fat bun’ problem — why the future of work needs to look more like a pizza

First publishedJul 27, 06:00 UTC

Last updatedJul 27, 12:18 UTC · 7m ago

1 outlets over time — hover a bar for its window & outletslast updated

AI and the ‘skinny hamburger, fat bun’ problem — why the future of work needs to look more like a pizza

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How strong is this topic?

5.6/10Significanceimpact & urgency

6.0/10Source trustoutlet authority

1Outletsindependent sources

Significance weighs impact, urgency & coverage breadth · Source trust is the outlets' average authority · more outlets means a more confirmed story.

Answer

Arvind Narayanan, a Princeton computer scientist, created a slide comparing traditional work to work with AI. The slide showed a 'skinny hamburger, fat bun' problem, where AI does little work but takes up much space. This is a problem for the future of work.

Reported by 1 outlet — Fortune. See all sources ↓

Arvind Narayanan, a computer scientist, made a slide to compare traditional work and work with AI. The slide showed a problem where AI does little work but takes up much space. This is a problem for the future of work. The slide was shown at a conference in Seoul.

Why it matters

This problem is important because it affects how we work in the future. It means we need to rethink how we use AI and technology.

In brief

What is the 'skinny hamburger, fat bun' problem?: The 'skinny hamburger, fat bun' problem is when AI does little work but takes up much space.
Where was the slide shown?: The slide was shown at the International Conference on Machine Learning in Seoul.
What is the problem for the future of work?: The problem is that AI does little work but takes up much space, which affects how we work in the future.

Different angles across outlets

Coverage map

How outlets are framing the same story

These are the main editorial angles found across reporting. Use them to quickly compare what different outlets emphasize, omit, or question.

The outlets frame the story as a problem for the future of work, with a focus on the 'skinny hamburger, fat bun' problem. They all agree that this is a significant issue.

Coverage cardFraming signal
1Angle
Scouting report
AI does little work but takes up much space
Sources1
TypeAngle
FortuneJul 27, 06:00compares traditional work to work with AI
Coverage cardFraming signal
2Angle
Scouting report
The slide was shown at a conference in Seoul
Sources1
TypeAngle
FortuneJul 27, 06:00mentions the conference in Seoul

Related in the knowledge graph

organizationAI. Leimer organizationArvind Narayanan organizationGeorge Leimer organizationInternational Conference organizationMachine Learning organizationPrinceton organizationSeoul. In organizationYahoo Finance

Sources (1)

Avg source rating 6.0/10

Fortune6

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