
PNAS Nexus
Peer-reviewed journalWikipedia
4
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4
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PODCASTS
Search complete. 4 mentions across 4 episodes found for "PNAS Nexus".
Oct 11, 2026
The Project Where Nobody Asks Anybody Anything
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1:25Ricardo VargasHOST
And for years, it was where developers from all over the world shared questions and solutions for free.
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1:33Ricardo VargasHOST
A study published in 2024 in the scientific journal PNAS Nexus measured what happened to the site after ChatGPT has launched.
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1:43Ricardo VargasHOST
In just six months, activity on Stack Overflow dropped by 25%.
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1:50Ricardo VargasHOST
25%.
Now Entering: The Era Of Bleh
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7:50speaker_0NARRATOR
In their paper, large language models are homogeneously creative.
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7:55speaker_0NARRATOR
PNAS Nexus, 2026.
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7:57speaker_0NARRATOR
Duke researcher Emily Wenger and Technion cognitive scientist Yoed Kennett tested 22 commercial LLMs against more than 100 humans on standard creativity tasks.
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8:08speaker_0NARRATOR
Individual models sometimes outperformed individual people.
Ctrl-Z Awards: Will retracting your paper ruin your career?
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49:03Alyssa SmithGUEST
OK, this was a very stressful time on multiple levels.
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49:06Alyssa SmithGUEST
So the paper was published in PNAS Nexus and I was on the job market.
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49:10Alyssa SmithGUEST
This was, I think, late October 2025. and I was preparing my job talk, which centered on this paper.
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49:18Alyssa SmithGUEST
When I was looking at a particular plot that was one of the plots to illustrate the trajectory of follower accumulation for both the reposted and the control accounts, I noticed that the error bars were smaller than I thought they should be.
LLMs Are Time Machines That Don't Tell You How Far You Went
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3:43Duane ForresterHOST
But that actually changed this year.
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3:46Duane ForresterHOST
Two researchers at Wharton ran a very large study, seven separate experiments, north of 10,000 participants, published on the PNAS Nexus back in October.
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3:59Duane ForresterHOST
Ordinary topics, nothing exotic, things like vegetable gardening and spotting a financial scam.
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4:06Duane ForresterHOST
Half the people learned from an AI summary and half the people from ordinary search results.