HBM148: Early Attempts at Summoning Dream Beings

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Image by Jeff Emtman.

As a teenager, HBM host Jeff Emtman fell asleep most nights listening to Coast To Coast AM, a long running talk show about the world’s weirdnesses.   One of the guests stuck out though; one who spoke on his experiences with lucid dreaming.  He’d learned how to conjure supernatural entities and converse with his subconscious.  

Lucid dreams are dreams where the dreamer knows they’re asleep.  Some sleepers become lucid completely at random, but lucid dream training can drastically increase the frequency of their occurrence.

Months ago, Jeff put out a call for dream prompts on social media.  He asked if anyone had questions for an all-knowing being to be conjured in a forthcoming lucid dream.  Some of the questions are heard in this episode.  

While training for this episode, Jeff used two approaches to trigger lucid dreams.  The first was an audio recorder by the bedside.  Each morning, Jeff recorded his dreams (lucid or not).  The second method was a series of “wakefulness checks” throughout each day, stopping at random times to test reality, and to make a determination on whether he’s currently awake or asleep.  This tactic is useful as it may eventually trigger the same behaviour in a dream.  

In this episode, Jeff attempts to lucid dream to answer listener questions, but finds the progress slower than he hoped.  

Here Be Monsters is an independent podcast that is funded entirely by individual sponsors and donors.  You can become a donor at patreon.com/HBMpodcast

Producer: Jeff Emtman
Music: The Black Spot, Phantom Fauna, and Serocell.

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Jeff wearing his favorite Sleep With Me shirt. This shirt elicits compliments whenever its worn 🐏💖

HBM125: Deepfaking Nixon

Graphic by Jeff Emtman.

There’s a beautifully written speech that was never delivered. Written for President Richard Nixon by Bill Safire, the speech elegizes astronauts Buzz Aldrin and Neil Armstrong of Apollo 11, who’d become stuck on the moon, and were left to die there.  In reality, Buzz and Neil made it home safely, but this contingency speech was written anyways, just in case. Sometimes it’s called The Safire Memo and is sometimes called In Event of Moon Disaster.

The latter title share its name with an installation that’s (as of publish date) on display for the first time at IDFA in the Netherlands.  This project by Francesca Panetta and Halsey Burgund explores an alternate past where Aldrin and Armstrong don’t make it home from the moon.  The film portion of the installation heavily features a reading of The Safire Memo by a computer generated version of President Nixon sitting in the Oval Office, reading from notes, making all the familiar facial expressions, sharing the same vocal tics, presidential timbre, and some of the Nixonian je ne sais quoi that makes the fake nearly believable. 

But it’s not Nixon.  And it’s not entirely accurate to say it’s an actor.  It’s a kind of mix of the two, a synthetic Nixon generated by a booming form of artificial intelligence called “deep learning” which creates mathematical models of complex systems, like speech.  Lewis Wheeler  (the actor tasked with providing the voice of Nixon) did not have to imitate Nixon’s voice, only provide a proper pacing an intonation.  From there, the artists hired several companies (including Re-Speecher and Vocal ID) trained a computer model to translate Lewis’s voice into Nixon’s.

Excerpt from the installation In Event of Moon Disaster by Francesca Panetta and Halsey Burgund. This video is a deepfake.

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In Event of Moon Disaster on display at IDFA in The Netherlands. Photo by Francesca Panetta.

This kind of deep-learned fakery (called “deepfakes”) currently usually falls somewhere in the uncanny valley—the tech is good enough to get create a strong impersonation of a voice, but one that sounds still a bit mechanical, or metallic.  This won’t be the case for long though, as more and more convincing deepfake voices emerge with each generation of new code.  

And on the visual front, current video deepfakes are often so good as often pass the gut check of credibility.  This may have been most famously demonstrated in a Buzzfeed article where comedian Jordan Peele impersonates President Obama’s voice and a video deepfake moves his face along with the spoken words.  

With the 2020 presidential elections looming, it seems almost inevitable that deepfakes will enter the media fray that’s meant to discredit political enemies, creating scandals that never happened.  And outside of politics, deepfake pornographers take up the task of swapping pornographic actresses’ faces with those of celebrities or the faces of female journalists they seek to discredit.  

On this episode of Here Be Monsters, Francesca and Halsey tell producer Jeff Emtman that deepfakes aren’t going to rupture society.  We’ve dealt with this before, whether it’s darkroom manipulations or photoshop, societies eventually learn how to detect deception. But the adjustment period can be rough, and they hope that In Event of Moon Disaster will help educate media consumers on the danger of taking media at face value, regardless of whether it’s deepfakes or just old-fashioned photo mis-captioning.

Also on this episode, Ahnjili Zhuparris explains how computers learn to speak, and we listen to some audio examples of how computer voices can fail, using examples from the paper Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis.  Also heard: a presidential  parody deepfake from user Stable Voices on Youtube. 

Producer: Jeff Emtman
Editor: Bethany Denton
Music: The Black Spot

HBM110: Big Numbers

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A bugle stack to the moon. Graphic by Jeff Emtman.

For two thirds of his life, HBM host Jeff Emtman has been thinking about the distance to The Moon in terms of corn snacks.  Bugles specifically.  It was a factoid written on the packaging that purported to convey information about the distance to the moon.  The number itself has been long forgotten, but the taste of degermed yellow corn meal lingers.

Content Note:
Language

In this episode, Jeff takes issue with the significance that is placed on large and round numbers.  And he talks to his 2 year old nephew while they play the piano. And he interviews his brother about larger and smaller infinities.  And he makes podcast music on a tiny sampler.  But mostly he complains about turning 30, a number that’s round, if you count in base ten.

But not everyone uses base 10.  Several languages of Papa New Guinea use base 27, using not only their fingers, but parts across all their upper body.  And many others from across the world have settled on base 20.  

It’s possible that numbers are an advanced technology of language to make the abstract more palatable.  Homesigners are people who develop their own sign languages independent from established sign languages.  In a 2011 study called Number Without a Language Model, researchers contacted several homesigners who lived in numerate societies, but apparently had not developed strong words for numbers past three or so.

Big thank yous to Alan Emtman, Brian Emtman, Ariana Nedelman and Ross Sutherland (who produces the fantastic podcast Imaginary Advice [this episode contains excerpts from Episode 49, “Re: The Moon”]).

Producer: Jeff Emtman
Editor: Jeff Emtman
Music: The Black Spot, Serocell

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