Help a Computer Win the New Yorker Cartoon Caption Contest

This is a weekly experiment to see if an artificial intelligence program can produce real humor.

Why are we doing this?

TLDR: We want to determine whether non-funny humans (The Pudding team), when aided by a computer, can produce better-than-average jokes. Read More

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GPT-3 tries pickup lines

AI blogger Janelle Shane, the author of “You Look Like a Thing and I Love You” , used four variants of GPT-3 to generate humorous pickup lines with varying degrees of success. Some lines they generated included “I’m losing my voice from all the screaming your hotness is causing me to do” and “I will briefly summarize the plot of Back to the Future II for you.” Read More

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NEW Sassy Justice with Fred Sassy

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#fake, #humor, #videos

Do We Live in a Simulation? Chances Are about 50–50

Gauging whether or not we dwell inside someone else’s computer may come down to advanced AI research—or measurements at the frontiers of cosmology

It is not often that a comedian gives an astrophysicist goose bumps when discussing the laws of physics. But comic Chuck Nice managed to do just that in a recent episode of the podcast StarTalk.The show’s host Neil deGrasse Tyson had just explained the simulation argument—the idea that we could be virtual beings living in a computer simulation. If so, the simulation would most likely create perceptions of reality on demand rather than simulate all of reality all the time—much like a video game optimized to render only the parts of a scene visible to a player. “Maybe that’s why we can’t travel faster than the speed of light, because if we could, we’d be able to get to another galaxy,” said Nice, the show’s co-host, prompting Tyson to gleefully interrupt. “Before they can program it,” the astrophysicist said,delighting at the thought. “So the programmer put in that limit.” Read More

Neil deGrasse Tyson Explains the Simulation Hypothesis

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Matt tries to ditch all his Zoom calls using AI

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State-Of-The-Art Reviewing: A Radical Proposal To Improve Scientific Publication

Peer review forms the backbone of modern scientific manuscript evaluation. But after two hundred and eighty-nine years of egalitarian service to the scientific community, does this protocol remain fit for purpose in 2020? In this work, we answer this question in the negative (strong reject, high confidence) and propose instead State-Of-the-Art Review (SOAR), a neoteric reviewing pipeline that serves as a “plug-and-play” replacement for peer review. At the heart of our approach is an interpretation of the review process as a multi-objective, massively distributed and extremely-high-latency optimisation, which we scalarise and solve efficiently for PAC and CMT-optimal solutions.

We make the following contributions: (1) We propose a highly scalable, fully automatic methodology for review, drawing inspiration from best-practices from premier computer vision and machine learning conferences; (2) We explore several instantiations of our approach and demonstrate that SOAR can be used to both review prints and pre-review pre-prints; (3) We wander listlessly in vain search of catharsis from our latest rounds of savage CVPR rejections. Read More.

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Ah the life of the Machine Learning Engineer…

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Vacation scammer speaks with a Jolly Roger bot named Ox-Gut McGee

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#humor, #robotics

Humans are hooked

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