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Marketplace All-in-One

AI is surpassing humans in several areas, Stanford report says

Marketplace All-in-One

Marketplace

News, Business

4.51.4K Ratings

🗓️ 2 May 2024

⏱️ 10 minutes

🧾️ Download transcript

Summary

Just how capable is today’s artificial intelligence at beating humans at their own games? That’s one of the metrics tracked by an annual report put together by the Stanford Institute for Human-Centered AI, or HAI. And its latest AI Index report finds the tech is quickly gaining on humans. According to the report, AI now exceeds human capability not only in areas like simple reading comprehension and image classification, but also in domains that start to approach human logic, like natural language inference (the ability to draw inferences from text) or visual reasoning (the ability to deduce physical relationships between visual objects). Still, there are areas where the bots haven’t quite caught up. Marketplace’s Meghan McCarty Carino spoke with Nestor Maslej, research manager at HAI and editor in chief of the index report, to learn more.

Transcript

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0:00.0

Humans still have an edge against AI when it comes to certain skills, but it's getting close.

0:08.0

From American public media, this is Marketplace Tech. I'm Megan McCarty Carino. Just how capable is today's artificial intelligence at beating humans at their own games.

0:29.0

That's one of the metrics tracked by an annual report put together by Stanford's Institute for Human-centered

0:35.3

AI.

0:36.8

And its latest AI Index report finds the tech is quickly gaining on humans. Nesta Masley is a research manager at Stanford's Institute for Human Centered AI

0:48.0

and editor-in-chief of the Index Report.

0:51.0

He told us that AI now exceeds human capability, not only in areas like simple reading

0:57.1

comprehension and image classification, but also domains that start to approach human logic,

1:04.4

like natural language inference,

1:07.0

the ability to draw inferences from text,

1:10.1

or visual reasoning,

1:12.0

the ability to deduce physical relationships

1:15.0

between visual objects.

1:17.0

Still, there are areas where the bots haven't quite caught up.

1:21.0

There are still some task categories like visual common sense reasoning, which is the ability

1:26.0

to make kind of common sense deductions from visual inputs or competition level mathematics where AI trails behind humans, but even with those systems

1:37.6

it's kind of really worth noticing that the improvements in AI has been pretty remarkable in the last few years.

1:46.0

And I think for me it's really not a question of if they're going to kind of exceed the human

1:50.6

baseline, it's just more a question of when and to see how the progress

1:55.1

has become increasingly more advanced and increasingly more rapid is really

2:01.7

something that's been quite quite interesting to behold.

2:05.0

There has been some speculation among AI researchers about these systems potentially hitting a wall and plateauing in terms of capabilities.

...

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