Funk Babblings

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Posted by Zach Weinersmith

https://www.smbc-comics.com/comic/forbidden

Click here to go see the bonus panel!

Hovertext:
Later it turns out the duck was getting with a porcupine and had a litter of Echidnas.

Today's News:

https://www.smbc-comics.com/comic/forbidden

Posted by Dan Savage

https://savage.love/savagelove/2026/04/16/the-thursday-letter-panty-thief-outed-by-aggrieved-ex/

https://savage.love/?p=11795

I’m curious to see where Savage Lovers come down on this one… I am a 25-year-old male going through a disruptive transition period after a secret of mine got out. Here goes: I developed a panty fetish in middle school thanks to the ease with which I could search for pictures of panties and thongs … Read More »

The post The Thursday Letter: Panty Thief Outed By Aggrieved Ex appeared first on Dan Savage.

https://savage.love/savagelove/2026/04/16/the-thursday-letter-panty-thief-outed-by-aggrieved-ex/

https://savage.love/?p=11795

Posted by Bruce Schneier

https://www.schneier.com/blog/archives/2026/04/human-trust-of-ai-agents.html

https://www.schneier.com/?p=71853

Interesting research: “Humans expect rationality and cooperation from LLM opponents in strategic games.”

Abstract: As Large Language Models (LLMs) integrate into our social and economic interactions, we need to deepen our understanding of how humans respond to LLMs opponents in strategic settings. We present the results of the first controlled monetarily-incentivised laboratory experiment looking at differences in human behaviour in a multi-player p-beauty contest against other humans and LLMs. We use a within-subject design in order to compare behaviour at the individual level. We show that, in this environment, human subjects choose significantly lower numbers when playing against LLMs than humans, which is mainly driven by the increased prevalence of ‘zero’ Nash-equilibrium choices. This shift is mainly driven by subjects with high strategic reasoning ability. Subjects who play the zero Nash-equilibrium choice motivate their strategy by appealing to perceived LLM’s reasoning ability and, unexpectedly, propensity towards cooperation. Our findings provide foundational insights into the multi-player human-LLM interaction in simultaneous choice games, uncover heterogeneities in both subjects’ behaviour and beliefs about LLM’s play when playing against them, and suggest important implications for mechanism design in mixed human-LLM systems.

https://www.schneier.com/blog/archives/2026/04/human-trust-of-ai-agents.html

https://www.schneier.com/?p=71853