Fragments

The closest I'll ever come to blogging.


Bleeding Edge and the truth in margins and fragments

On the 24th anniversary of a catastrophe that brought only more catastrophe


I've been reading Thomas Pynchon's Bleeding Edge because I'm a bit of a Pynchon fanboy and have never read it. But also, it's set in a similar moment—frothy tech valuations, fascistic American leadership (although yez, this is by degrees), etc.—the bursting of the so-called dot-com bubble up to and beyond 9/11.

Along the way, a wonderfully prescient character, on the clearest way of viewing anything, but much more the sort of massive event that was 24 years ago.

"Check this out." March hands over a dollar bill, around the margins of whose obverse somebody has written in ballpoint, "World Trade Center was destroyed by CIA-Bush Senior's CIA is making Bush Jr. Prez for life & a hero." "I got this in change at the corner grocery this morning That's well within a week of the attack. Call it what you like, but a historical document whatever." Maxine recalls that Heidi has a collection of decorated dollar bills, which she regards as the public toilet wall of the U.S. monetary system, carrying jokes, insults, slogans, phone numbers, George Washington in blackface, strange hats, Afros and dreadlocks and Marge Simpson hair, lit joints in his mouth, and speech-balloon remarks ranging from witty to stupid.

"No matter how the official narrative of this turns out," it seemed to Heidi, "these are the places we should be looking, not in newspapers or television but at the margins, graffiti, uncontrolled utterances, bad dreamers who sleep in public and scream in their sleep."

Bleeding Edge (novel) - Wikipedia
en.wikipedia.org

Bleeding Edge (novel) - Wikipedia

How we like our bots

Two media narratives on AI


Two articles appeared side-by-side in my news today. One, from Vox, describes a whole lot of industry groupthink and media hype around existential risk. Turns out, a lot of the "scheming" that has been reported is highly dependent on researcher instructions.

In fact, trying to extrapolate what the AI is really like by watching how it behaves in highly artificial scenarios is kind of like extrapolating that Ralph Fiennes, the actor who plays Voldemort in the Harry Potter movies, is an evil person in real life because he plays an evil character onscreen.

If you really wanted to get at a model’s propensity, Summerfield and his co-authors suggest, you’d have to quantify a few things. How often does the model behave maliciously when in an uninstructed state? How often does it behave maliciously when it’s instructed to? And how often does it refuse to be malicious even when it’s instructed to? You’d also need to establish a baseline estimate of how often malicious behaviors should be expected by chance — not just cherry-pick anecdotes...

How can you know if an AI is plotting against you?
www.vox.com

How can you know if an AI is plotting against you?

What chimp research can teach us about AI’s ability to “scheme.”

(paywall)

And from NPR, a shallow little clickbait on how we supposedly prefer extroverted robots but relate to neurotic ones. The only kind we don't appear to connect with is the one that bores us.

The experiment also included a third version of the robot with a more typical robot personality that was bland and flat. People generally didn't like that one.

www.npr.org