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Mike Rugnetta: Friends, hello,
and welcome to Never Post, a

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podcast for and about the
Internet. I'm your host Mike

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Rugnetta. This intro was written
on Tuesday, 06/23/2026 at

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10:35AM eastern, and we have a
fantasmagoric show for you this

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week. In this episode, Audrey
chats with assistant professor

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at the University of Maryland
College of Information, Mauls

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Souder, and writer, researcher,
and community organizer, Erin

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Kissane, about the incursion of
AI models hallucinations into

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increasingly prevalent corners
of media, law, government, and

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culture, and what this means
overall for the production of

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knowledge. But first, we're
gonna take a quick break.

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You're gonna listen to some ads
unless you're on the member

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feed. And when we return, we're
gonna talk about a few of the

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things that have happened since
the last time you heard from us.

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Zephyr in the sky at night, I
wonder. Do my tears of morning

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sink beneath the sun? She's got
herself a universe gone quickly

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for the call of thunder
threatens.

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Six stories this week. France
says to Palantir. French PM

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Sebastian Lecourneau announced
last week that French

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intelligence agency, the general
directorate for internal

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security, would be cutting ties
with the techno fascism purveyor

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in order to reduce reliance on
American technology. Lecourneau

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says the gap will in time be
filled by French AI developer,

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CHAP's vision. This comes as
England's NHS, the National

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Health Service, considers
ditching its Palantir contract

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under pressure from MPs and
workers alike over privacy and

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security concerns.

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Now I don't wanna speak too soon
here, but I'm starting to think

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that maybe Palantir is bad.

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Mols Sauter: No.

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Mike Rugnetta: China has been
increasing its global telecom

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presence in South America. The
most recent partnership offering

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being made to Chile. State owned
China Mobile offered to

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construct an undersea cable
linking the two nations. But in

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February of this year, rest of
world reports, The US stepped in

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and sanctioned the South
American nation, revoking the

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visas of three officials. This
after a similar 2019 scheme was

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kiboshed also due to US
pressure.

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The state department has said
the infrastructure projects

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would have, quote, compromised
critical telecommunications

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infrastructure and undermined
regional security in our

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hemisphere, end quote. The US
and China remain engaged in an

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ongoing data center and AI
development arms race that

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pretty much no one has asked for
or benefits from. We. Music, all

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of it has been ingested by AI.
Writing for the Atlantic, Alex

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Reisner reveals that he was able
to get a hold of four training

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datasets to give a sense of
their size.

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Only one is comprised of
12,000,000 tracks that would

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take 91 to listen through. AI
developers and researchers

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employ these datasets to develop
their products, though some,

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like Suno, say there are
guardrails in the technology to

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prevent against the models
generating faithful or near

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copies of existing music.
Reisner writes quote, what the

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datasets illustrate primarily is
the scale and variety of music

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easily available to AI
developers. Companies often

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claim to use only content that
is freely available online, but

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the datasets reveal the quantity
of downloadable music that

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developers can access even
though it is not supposed to be

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free, end quote. The dataset is
searchable if you wanna go see

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if your work has been gobbled up
by the endless ravenous maw of

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Silicon Valley.

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YouTube has settled a Florida
case in which a teenager named r

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k c in court documents alleges
the platform was designed to be

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addictive leading to anxiety,
sleep deprivation, and other ill

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effects. R k c is also suing
Meta, TikTok, and Snap in

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California according to the BBC.
This comes after a string of

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various settlements and findings
in users favor regarding the

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deleterious effects of features
like infinite scroll,

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algorithmic recommendation, and
so on. Most notably, six months

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ago, Australia banned teens from
using social media entirely

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countrywide, a massive
undertaking which researchers in

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the British Medical Journal this
month note has been particularly

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ineffective writing, quote, we
found insufficient evidence to

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conclude that exposure to the
act had any early substantial

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effects on social media use
among adolescents aged 16 years.

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The findings contrast with
similar legislative requirements

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of web based services.

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For example, in The UK where
access to pornographic websites

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substantially reduced by 30 to
50% following the introduction

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of age assurance measures, end
quote. Whoops. Oh, well, I

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guess. Oops. Mister Rogers is on
YouTube.

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Okay. Maybe it's not so bad out
there after all. The channel

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will feature clips as well as
full episodes many of which have

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not aired or been otherwise
available for quite some time.

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The Fred Rogers Foundation has
partnered with British digital

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content agency, Little Dot
Studios, which as of 2020

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managed over 600 branded social
video channels for various

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clients. Won't you please?

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Won't you please? Please won't
you be my neighbor? My neighbor?

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I'm glad we're together again.
And finally, are you seeing what

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I'm seeing?

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Hallucinations in the news. At
their recent IO conference,

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Google unveiled their redesigned
search product in which results

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are delivered not as a list of
links, but a chat with an LLM.

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Searchers have found this
experience increasingly

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prevalent as the company has
rolled out its AI overviews.

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Summaries of search results
aimed at synthesizing available

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information without requiring
additional clicks. But there's

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one problem.

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Well, there are actually many
problems, but one is the well

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documented prevalence of
overview hallucinations, which

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recently a German court has
ruled Google is liable for. The

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ruling describes the overviews
as quote, the defendant's own

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statements. It alone has
influence over the AI's offering

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and the algorithms with which
the AI operates, end quote.

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Google's got good company in its
hallucinatory woes. Number

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Cruncher's KPMG had to recently
retract a report titled of all

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things redefining excellence in
the age of AI because it was

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riddled with errors and
inventions.

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Ernst and Young recently
retracted a report on loyalty

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programs because it contained
hallucinations. Wikipedia has

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unsurprisingly had to ban AI
contributions because they are

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often factually incorrect. And
it feels like every week there's

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a new story about a law firm
caught using AI after citing

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some nonexistent precedent. What
is going on? How do we

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understand and protect ourselves
against the incursion of opaque

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machine invention into what have
otherwise been the most

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calculatory, document dependent,
and knowledge based industries.

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And what if these hallucinations
are not a bug, but a feature? A

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fundamental aspect of the
technology revealing in some way

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what it really is.

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Audrey Evans: Uh-huh.

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Mike Rugnetta: We're gonna take
a quick break, and when we

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return, Audrey talks with Malz
Sauter, assistant professor at

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the University of Maryland,
where they teach the history and

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philosophy of technology, and
Aaron Kissane, a writer and

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researcher focused on knowledge
and networks at unbreaking.org

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and previously, the COVID
tracking project. They'll all

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talk about what AI
hallucinations actually are from

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a knowledge production
standpoint and how the

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information they contain
reflects a much longer and

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stranger facet of human culture
than you may have previously

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considered.

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Audrey Evans: In May, Google
announced that they are turning

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from legacy search, the search
box, to AI search as the default

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search mode. A May 16 TechCrunch
article even had the headline,

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Google search as you know it,
it's over. The ground of the web

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is shifting. The very way we
step into our interactions with

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the web is changing quickly.
Google suggested this as a quote

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paradigm shift, moving users
from search into generative UI

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experiences.

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So instead of returning links,
Google search will now be

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dropping users into quote AI
powered interactive experiences

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and be dispatching information
agents to gather information on

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a user's behalf. So search will
now look more like a long back

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and forth conversation where the
user will also be suggested

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prompts, directions. This is
really dropping users into an

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entirely new research process
experience. One even further

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intermediated by Google and
driven by the incentives and

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priorities of this company. This
paradigm shift that they're

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talking about is one that's now
less about information retrieval

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as a process and now something
that's geared towards prompting

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users to quote, take actions and
actions that are going to be

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defined by their models.

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I know both of you study the way
we collectively use and

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synthesize information, how we
turn information to action,

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sometimes collective action in
our society. So I wanted to get

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your reactions. And Erin, it is
such a delight to be here with

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you today. Mols, let's start
with you.

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Mols Sauter: This is a really
interesting question because

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there are a bunch of different
things that are going on both

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inside sort of what we'll call
sort of like the AI this current

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AI moment, but also these
different specific systems. So,

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like, let's just take the search
bar. And I love that you

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specifically flagged the
paradigm shift. Whenever someone

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says paradigm shift, I'm like,
cool. Now we have to talk about

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what a paradigm shift actually
is and what it what it means to

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have a paradigm shift.

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And so what we can think about
it as when did search stop being

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we get returned results that are
pointers to things that exist,

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that people have written and
they've put on the Internet as

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objects, and we find them via
object identifiers. Two, we get

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a natural language response from
a technical system that also

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points to sometimes these
objects. It has some

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relationship to these objects,
but it is not the object. It's

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not merely a referent. The point
of the search bar is not to

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direct.

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The point of the search bar is
to answer. So how do we get this

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paradigm shift? And one of the
reasons I think that it doesn't

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feel like a paradigm shift to
us, the reason why, like, for

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the users, we're like, wait a
minute. We're not advancing.

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This isn't an advancement.

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This isn't better. I'm not happy
about what is happening right

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now. I don't feel like my
experience has become more, is

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it's not actually following what
causes paradigm shifts. So one

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of the key things in a paradigm
shift in scientific theory is

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the crisis and anomalies stage,
which is when you've got the

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theory, it is not paradigmatic
yet, you are collecting your

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experimental results, you're
building your literature, you're

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building your advocates, you're
you're assembling your team, and

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then you enter into that period
of norm what we call normal

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science, which is when we've
accepted the paradigm. Now we're

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just sort of like cleaning up
around the edges.

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We're puzzle solving. Maybe it's
an even entering into an

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engineering mode where we're
just sort of like, yeah, this is

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a thing that solves problems. We
use it to solve problems. We're

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not necessarily discovering
anything new in the normal

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science mode. But then we enter
into crisis and anomaly stage

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when things stop working.

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We start building up these
little inconsistencies, these

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little holes, and they start
accumulating to the point where

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the the theory or the paradigm
can no longer sustain itself,

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and it enters into a period of
crisis. And that's when things

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open up for a new paradigm.
That's basically the structure

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of, like, how we how do we
change these big ideas? And one

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of the things that is currently
happening is the old ideas have

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never arrived at the crisis and
anomaly stage. The idea that a

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search bar points you to
resources was perfectly happy

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chilling out in the puzzle
solving, like like, it's not

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science, but quote unquote
normal science space where it's

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like, this is good.

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This works. We're happy. We
don't have lots of problems.

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Like, there are some problems,
but they're not fatal problems.

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And they're certainly not fatal
problems with the basic

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mechanism.

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Instead, we have sort of this
forced paradigm shift where a

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bunch of companies, and by a
bunch, mean, like, four, are

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pushing an entirely new way of
both interacting with the web,

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interacting with certain types
of knowledge, and interacting

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with certain types of media. And
everyone's reaction is quite

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expected where it's like, wait a
minute. Wait a minute. We

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weren't ready. Like, we're not
ready to do this.

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There was nothing wrong with
that in a fatal way.

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Erin Kissane: I think it's it's
impossible to overemphasize how

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hard some of these tech
companies have been trying to

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make paradigm shift happen for
years now. So, obviously, this

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is in continuity with trying to
make metaverse happen, trying to

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make NFTs happen, trying to make
crypto happen in specific ways.

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Not that any of those
technologies did not exist, but

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none of them existed in the ways
that the tech companies pushing

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them were presenting them to us.
So especially given that a lot

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of the folks leading these
technology companies were around

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for what I would classify as a
genuine paradigm shift, the

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arrival of search, the arrival
of what used to be the open web

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as a pretty substantial shift in
the way that we interact with

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knowledge as societies. That
actually happened and they

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figured out gradually how to
enclose more and more of it, but

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then they kind of hit a wall.

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I don't want to be fair to
anyone, but to be fair, I will

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say the arms race of search has
led to, I think many of us

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think, a degraded experience
over the past maybe five to

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seven years sharpening more as
we approach the present. And

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when I say arms raised, I mean,
it's the the old school pre AI

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content farms and the way that
the poor recipe bloggers just

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started adding more and more
stories about their great

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grandmothers to the beginnings
of all their recipe posts to try

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to get the attention. There was
a lot of really peculiar sort of

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perverse incentive minuet
happening that made search

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harder and harder to deal with.
If you were really good at

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search, you could still figure
it out. But for, I think, casual

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use outside of any given
person's area of expertise, it

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did get frustrating.

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But especially, Audrey, I
appreciate you talking about the

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idea of taking action, moving
everyone into increasingly

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enclosed knowledge spaces with
prompts. It feels to me like

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we've rebuilt AOL, but it talks
on one hand and that we're

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putting people into society wide
wizards on the other, neither of

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00:16:21,305 --> 00:16:25,545
which really constructs us as
subjects with agency. So,

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obviously, I have, like, deep
rooted philosophical problems

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with this. But I do think even
though many of us might approach

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our refrigerators and say, I
have two heads of wilted kale

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and three eggs. What am I having
for dinner?

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There is a pretty strong sense
among at least the people that

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that I know who are not in this
nerd zone that that is

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qualitatively a different thing
than what we do when we try to,

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for instance, educate our
children or learn about the

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world or do research or do
scholarship. So there's a pretty

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strong pushback in some aspects,
but it bleeds into this. Yes,

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but there's the convenience
factor with a class of things

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that perhaps can be answered by
a machine and we're perfectly

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happy with that. Having those
two modes, which in our own

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lives shift in and out based on
how tired we are, what we're

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00:17:21,235 --> 00:17:23,155
trying to accomplish, where we
are and we're trying to

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accomplish it complicates this a
lot and backed a lot of people

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into positions where they're
doing things that they perhaps

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wish they were not doing.

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Audrey Evans: So those
complications Erin brings up

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00:17:35,300 --> 00:17:39,140
remind me of ideas I've heard
you bring up before malls around

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00:17:39,140 --> 00:17:42,555
ground truthing. Would you take
us through some of that?

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00:17:42,635 --> 00:17:45,275
Mols Sauter: One of the things I
find interesting about LLMs at a

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00:17:45,275 --> 00:17:48,235
theory level and sort of at a
philosophy of technology level

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is the ways in which they
counter expectations that we

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00:17:52,475 --> 00:17:56,240
have about what computers do.
And that makes the reaction to

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00:17:56,240 --> 00:18:00,000
them complicated. And this sort
of goes along with sort of the

285
00:18:00,000 --> 00:18:03,280
ground truthing and the ground
truthing problem, which is a big

286
00:18:03,280 --> 00:18:07,280
problem in LLMs. Because if you
think about what LLMs are and

287
00:18:07,280 --> 00:18:10,995
how they're constructed, their
ground truth is not our truth,

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00:18:10,995 --> 00:18:13,395
our ground truth. Our ground
truth is based on the fact that

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we have bodies.

290
00:18:14,515 --> 00:18:18,595
They live in a physical
environment. We have sensory

291
00:18:18,915 --> 00:18:22,950
access to that environment. But
we expect a lot of things that

292
00:18:22,950 --> 00:18:26,150
we talk about in human
communication, these bits of

293
00:18:26,230 --> 00:18:29,190
bits of sort of phonetic sound
and text that we throw at each

294
00:18:29,190 --> 00:18:32,870
other, we expect those things to
be related to that environment.

295
00:18:33,030 --> 00:18:35,505
That's our ground truth. We're
like, this is these things have

296
00:18:35,505 --> 00:18:39,105
always coincided and when they
don't coincide, that's bad.

297
00:18:39,105 --> 00:18:42,385
That's a lie. That's a
falsehood. That's a mistake.

298
00:18:42,385 --> 00:18:47,425
It's not what we want. Computers
have a very long history of

299
00:18:47,425 --> 00:18:51,370
being portrayed in sort of both
broader culture, in politics, in

300
00:18:51,370 --> 00:18:52,730
science, and technology itself.

301
00:18:52,730 --> 00:18:57,850
It's like, this thing is tied to
a set of ground truths that we

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00:18:57,850 --> 00:19:00,810
call mathematics. And
mathematics, it has a certain

303
00:19:00,810 --> 00:19:04,665
epistemic status. And we also
expect it to progress through a

304
00:19:04,665 --> 00:19:07,545
series of logical steps. This is
how it functions. We're going to

305
00:19:07,545 --> 00:19:08,265
walk through these steps.

306
00:19:08,265 --> 00:19:10,905
This is how a computer program
functions. And the listeners

307
00:19:10,905 --> 00:19:14,025
cannot hear me put many scare
quotes on many of those phrases.

308
00:19:14,105 --> 00:19:17,145
But that's sort of the general
understanding of how computation

309
00:19:17,145 --> 00:19:25,150
works. But these systems do not
exist as ground truths, we live

310
00:19:25,150 --> 00:19:28,830
in the outside world and we must
refer to it in our speech, text,

311
00:19:28,830 --> 00:19:33,455
and action, or as pure
mathematical systems of this is

312
00:19:33,455 --> 00:19:35,855
a logical progression through
this set of mathematical steps

313
00:19:35,855 --> 00:19:41,135
and this lives in this epistemic
frame. These systems exist in a

314
00:19:41,135 --> 00:19:45,160
big sea of language and
linguistical associations, and

315
00:19:45,160 --> 00:19:49,160
that is an unground truthed
situation.

316
00:19:49,640 --> 00:19:53,320
But internal to the LLM, the
logic is not I need to produce

317
00:19:53,320 --> 00:19:55,560
things that are related to an
external ground truth. The logic

318
00:19:55,560 --> 00:20:00,275
of the LLM is I need to present
the most acceptable string of

319
00:20:00,275 --> 00:20:04,435
tokens based on strings of
tokens that I have. The thing

320
00:20:04,435 --> 00:20:09,715
that is done is a performance.
And it's a performance within

321
00:20:09,715 --> 00:20:14,230
the bounds of genre and how
genre is constructed and

322
00:20:14,230 --> 00:20:19,670
reflected in these associative
groupings of tokens. And this is

323
00:20:19,670 --> 00:20:23,110
a real problem for how we think
about computers because we're

324
00:20:23,110 --> 00:20:25,765
used to coming to a computer and
being like, math problem and

325
00:20:25,765 --> 00:20:27,765
having computer be like, math
problem.

326
00:20:27,765 --> 00:20:30,565
Answer to math problem. Here you
go. And I think this is why

327
00:20:30,565 --> 00:20:36,165
people reacted so aggressively
or like pinned very strongly on

328
00:20:36,405 --> 00:20:39,660
it does math wrong Because
that's the basic thing you

329
00:20:39,660 --> 00:20:42,460
expect a computer to do is you
expect it to math right. The

330
00:20:42,460 --> 00:20:46,380
whole purpose of computers is
math right. These do not math

331
00:20:46,380 --> 00:20:46,860
right.

332
00:20:46,860 --> 00:20:50,460
These other things write and
they they other things write in

333
00:20:50,460 --> 00:20:53,725
a weird way. And I think that
the weird way they do it is

334
00:20:53,725 --> 00:20:56,525
really relevant to, like, to how
we think about those other

335
00:20:56,525 --> 00:21:00,685
things. But because they're in a
computer and they present as a

336
00:21:00,685 --> 00:21:04,445
computer, it's causing, like,
this huge collapse.

337
00:21:05,220 --> 00:21:08,340
Audrey Evans: So this reminds me
of how this all started, Erin,

338
00:21:08,340 --> 00:21:12,420
with your posts on Blue Sky
exploring how we orient

339
00:21:12,420 --> 00:21:16,740
ourselves and maybe even what
postures might be most useful to

340
00:21:16,740 --> 00:21:20,020
take when we interact and engage
with these systems.

341
00:21:20,465 --> 00:21:22,705
Erin Kissane: People talk about
anthropomorphization. I don't

342
00:21:22,705 --> 00:21:25,345
think that's quite what's
happening here. But when we see

343
00:21:25,345 --> 00:21:30,545
the computers stop mapping and
we see them talking and

344
00:21:30,545 --> 00:21:34,545
especially when you said,
Audrey, moving toward a back and

345
00:21:34,545 --> 00:21:40,250
forth for search, I think the
back and forth is central to the

346
00:21:40,250 --> 00:21:45,290
weirdness of our moment in LLMs
because we are experiencing

347
00:21:45,290 --> 00:21:49,050
them. Many of us, most of our
population who touches this

348
00:21:49,050 --> 00:21:52,895
stuff is probably doing it in a
conversational way and you only

349
00:21:52,895 --> 00:21:56,895
have conversations with
entities. The entities are

350
00:21:56,895 --> 00:21:59,055
obviously not people.

351
00:21:59,455 --> 00:22:05,960
I don't want to get too bogged
down in entity ness, but because

352
00:22:05,960 --> 00:22:09,960
of my particular background,
which comes out of religion and

353
00:22:09,960 --> 00:22:14,440
folklore, this sure looks
familiar to me. We actually have

354
00:22:14,440 --> 00:22:17,075
centuries of

355
00:22:17,395 --> 00:22:18,755
Mols Sauter: We have lots of
this.

356
00:22:18,995 --> 00:22:23,475
Erin Kissane: Of cultural
technology about how you deal

357
00:22:23,555 --> 00:22:29,715
with weird entities, and this
predates psychology. We have a

358
00:22:29,715 --> 00:22:33,110
pretty strong tradition of
things that are perhaps demons

359
00:22:33,110 --> 00:22:38,070
or that are perhaps gods or
angels or spirits or creatures,

360
00:22:38,390 --> 00:22:42,470
things that provide us with
divinatory knowledge. And in the

361
00:22:42,470 --> 00:22:45,030
same way that Miles was saying,
you know, like, we expect

362
00:22:45,030 --> 00:22:49,595
computers to first be math, We
kind of expect weird nonhuman

363
00:22:49,595 --> 00:22:55,115
entities that will talk back to
us and give us advice to be a

364
00:22:55,115 --> 00:22:59,195
particular kind of thing. I
think it is less like talking to

365
00:22:59,195 --> 00:23:03,070
a hallucinating entity and more
like participating in

366
00:23:03,070 --> 00:23:07,710
hallucination. When you are in
one of these weird zones, you

367
00:23:07,710 --> 00:23:09,790
know that you are not getting
ground truth.

368
00:23:09,790 --> 00:23:12,110
You know you are someplace
weird. And specifically, I think

369
00:23:12,110 --> 00:23:15,070
there's something that comes out
of, like, cross cultural

370
00:23:15,230 --> 00:23:19,815
something sort of below fairy
tales and into like spirit

371
00:23:19,815 --> 00:23:23,255
stories, folk stories, ghost
stories, this stuff. The idea

372
00:23:23,255 --> 00:23:26,535
that the entities have a
coherent system, but that you

373
00:23:26,535 --> 00:23:30,135
can't quite understand it. So
your best bet is to sort out

374
00:23:30,135 --> 00:23:34,830
what kind of contract you can
make with this class of entity

375
00:23:34,910 --> 00:23:38,110
or with animals or with other
aspects of the natural world so

376
00:23:38,110 --> 00:23:40,670
that you have a crossing over
point. None of these

377
00:23:40,670 --> 00:23:46,110
technologies allow for or permit
just a continuous flow of back

378
00:23:46,110 --> 00:23:50,645
and forth with any of these
entities or systems, I think

379
00:23:50,645 --> 00:23:55,765
that is instructive or it could
be instructive for us about our

380
00:23:55,765 --> 00:24:00,740
own weaknesses to a continuous
back and forth with something

381
00:24:00,740 --> 00:24:03,540
that's not human, that's not
practicing according to our

382
00:24:03,540 --> 00:24:06,500
rules, that is not coming from
embodied knowledge, that has

383
00:24:06,740 --> 00:24:09,540
either no ground truth or a
ground truth that we can't

384
00:24:09,540 --> 00:24:10,500
really understand.

385
00:24:10,980 --> 00:24:13,700
Audrey Evans: I love this and I
haven't heard anyone else

386
00:24:13,700 --> 00:24:17,755
articulate this quite like you
do. I feel like you're inviting

387
00:24:17,755 --> 00:24:22,475
us into a more honest
understanding of the

388
00:24:22,475 --> 00:24:27,835
relationality that's happening
and inviting us to remember that

389
00:24:27,835 --> 00:24:31,650
the agency and where we define
the relationship to this

390
00:24:31,650 --> 00:24:35,490
technology and how we interact
with it has to start in our

391
00:24:35,490 --> 00:24:37,810
bodies and end in our bodies.

392
00:24:38,370 --> 00:24:41,330
Erin Kissane: And and I don't
wanna take away from the broad

393
00:24:41,330 --> 00:24:46,765
political and anti labor aspect
of this technology, but I do

394
00:24:46,765 --> 00:24:51,965
like it it frustrates me that
the relational part, that

395
00:24:51,965 --> 00:24:55,050
conversation has been pretty
crude. Yeah. And I think people

396
00:24:55,050 --> 00:24:58,650
are perhaps embarrassed to talk
about it unless they somehow

397
00:24:58,650 --> 00:25:02,970
lack embarrassment and are happy
to say, here are my 300 pages of

398
00:25:02,970 --> 00:25:06,250
chat log and why I think my
Claudine is special.

399
00:25:06,810 --> 00:25:10,605
Mols Sauter: Just jumping off of
the last point, the actual skill

400
00:25:10,605 --> 00:25:13,885
set you need first, I was like,
you absolutely 100% need to have

401
00:25:13,885 --> 00:25:17,485
a very core understanding of the
fae. This is this thing that is

402
00:25:17,645 --> 00:25:20,605
not telling me things in a way
that I understand things to be

403
00:25:20,605 --> 00:25:23,100
telling me things. And you have
to sort of be able to hold that

404
00:25:23,100 --> 00:25:25,100
in your head if you're gonna
have an extended interaction

405
00:25:25,100 --> 00:25:28,220
with it. When I started looking
at it and I started looking at

406
00:25:28,220 --> 00:25:31,340
it, it is like, what can it do?
What is the thing that it is

407
00:25:31,340 --> 00:25:32,220
capable of doing?

408
00:25:33,515 --> 00:25:35,995
One of the first things that
popped up to me was like, oh,

409
00:25:35,995 --> 00:25:39,275
what you need to make this work
is discernment. I know the shape

410
00:25:39,275 --> 00:25:41,995
of what you should be making.
You have made things in that

411
00:25:41,995 --> 00:25:44,715
shape, but something around this
is is off. Something around this

412
00:25:44,715 --> 00:25:47,035
is not functioning. Something
around this is not what I

413
00:25:47,035 --> 00:25:47,435
expected.

414
00:25:48,370 --> 00:25:53,570
Let's go figure out why this
isn't this way. And I think most

415
00:25:53,570 --> 00:25:55,890
people use it like, people,
especially with the way they're

416
00:25:55,890 --> 00:25:59,010
being distributed now, people
engage with them in a one off.

417
00:25:59,010 --> 00:26:00,930
They're like, I have typed
something into a search bar. I

418
00:26:00,930 --> 00:26:03,170
have gotten a result. I need to
check something.

419
00:26:03,815 --> 00:26:05,895
Students will ask it to
summarize things. One of the

420
00:26:05,895 --> 00:26:08,615
major projects we're working on
this summer is about summary and

421
00:26:08,615 --> 00:26:11,495
how summary functions with that
within different models. And

422
00:26:11,495 --> 00:26:14,935
also what a broader theory of
summary is, which it turns out

423
00:26:14,935 --> 00:26:19,790
is quite difficult to pin down.
I'm gonna bring in Lacan because

424
00:26:19,790 --> 00:26:23,950
I'm a theory sicko. Lacan has a
concept called the subject

425
00:26:23,950 --> 00:26:25,070
supposed to know.

426
00:26:25,470 --> 00:26:29,390
And the subject supposed to know
is the position occupied by the

427
00:26:29,390 --> 00:26:33,055
analyst in a psychoanalytic
relationship. And the analysand

428
00:26:33,055 --> 00:26:37,055
enters into the analytical
relationship and projects upon

429
00:26:37,055 --> 00:26:41,375
the analyst the position of the
subject supposed to know. They

430
00:26:41,375 --> 00:26:44,655
are the person who so the the
analysand is coming in and

431
00:26:44,655 --> 00:26:48,370
saying, I am full of weird shit.
I am full of nonsense. I'm full

432
00:26:48,370 --> 00:26:49,250
of contradictory things.

433
00:26:49,250 --> 00:26:52,210
I'm full of compulsions. I'm
full of, like, blockages. I'm

434
00:26:52,210 --> 00:26:57,090
full of all of this garbage, and
I can't figure it out. That guy

435
00:26:57,090 --> 00:26:59,895
can. That's he's the subject
supposed to know.

436
00:26:59,895 --> 00:27:03,095
He's gonna know. He he's gonna
take all of my utterances and

437
00:27:03,095 --> 00:27:05,895
he's going to put them in order
and he's gonna make it make

438
00:27:05,895 --> 00:27:09,575
sense to me. And the subject's
most to know position is a

439
00:27:09,575 --> 00:27:13,440
collision of a bunch of things.
It's a collision of what this

440
00:27:13,680 --> 00:27:16,800
what the analysis and previous
experiences are with people,

441
00:27:16,800 --> 00:27:19,840
with people older than them,
with therapists, with doctors,

442
00:27:19,840 --> 00:27:23,680
with teachers, whatever. Their
knowledge about psychoanalysis,

443
00:27:24,000 --> 00:27:26,800
their knowledge their the
environment that it is happening

444
00:27:26,800 --> 00:27:31,815
in, who the analyst presents as,
how they've talked about

445
00:27:31,815 --> 00:27:32,615
themselves.

446
00:27:32,615 --> 00:27:35,255
All of this shit comes down into
the subject supposed to know

447
00:27:35,255 --> 00:27:39,175
position. And importantly, the
analyst doesn't know. That is

448
00:27:39,175 --> 00:27:41,735
their function is not to know
you better than you know

449
00:27:41,735 --> 00:27:44,550
yourself. Their function is to
sort of create a discursive

450
00:27:44,550 --> 00:27:47,990
construct where you can explain
yourself to yourself and

451
00:27:47,990 --> 00:27:52,630
eventually do it in a way that
makes sense to you. And I would

452
00:27:52,630 --> 00:28:00,065
like to posit that we approach
computers in general, but

453
00:28:00,065 --> 00:28:04,065
specifically discursive
computers and place them into

454
00:28:04,065 --> 00:28:05,905
the subject supposed to know
position.

455
00:28:06,145 --> 00:28:08,785
I like this theory and it's very
effective for me because it

456
00:28:08,785 --> 00:28:10,945
explains a bunch of different
types of interactions. It

457
00:28:10,945 --> 00:28:14,110
explains the one off
interactions. It explains the

458
00:28:14,110 --> 00:28:17,230
more the multi turn
interactions. It explains why

459
00:28:17,230 --> 00:28:22,110
people think that LLMs can stand
in for constituent data or all

460
00:28:22,110 --> 00:28:24,590
these other things because it is
the subject supposed to know.

461
00:28:24,590 --> 00:28:27,675
And like the projection of the
subject supposed to know, it is

462
00:28:27,675 --> 00:28:31,355
a it is a collapse of a bunch of
stuff, including, like, the vast

463
00:28:31,355 --> 00:28:35,195
history of computing as
computers, math, and math knows.

464
00:28:35,835 --> 00:28:40,715
And so when so when we enter
into these interlocutor

465
00:28:40,715 --> 00:28:45,290
positions where what we are
experiencing is a one to one

466
00:28:45,290 --> 00:28:50,410
interaction. But what is
actually happening is a one,

467
00:28:50,410 --> 00:28:57,245
that's me, to one, the interface
of the LLM, to large entity,

468
00:28:57,325 --> 00:28:59,885
meaning the training data and
all of the training shit that's

469
00:28:59,885 --> 00:29:04,205
happened before to everyone. The
guy you're talking to is the guy

470
00:29:04,205 --> 00:29:07,565
talking to everybody. Like, even
though it seems like you it's

471
00:29:07,565 --> 00:29:09,645
not just talking to you, it's
talking to everybody. Everyone's

472
00:29:09,645 --> 00:29:11,165
getting those weird weather
metaphors.

473
00:29:11,440 --> 00:29:14,720
Everyone's getting delve.
Everyone's getting these words

474
00:29:14,720 --> 00:29:18,720
over and over again. It occupies
these like, it's stepping into

475
00:29:18,720 --> 00:29:24,255
these existing social and
cultural constructs and

476
00:29:24,255 --> 00:29:28,415
animating them in a way that is
deeply destabilizing. So I think

477
00:29:28,415 --> 00:29:31,055
Erin is totally right that we
have all of these stories. We

478
00:29:31,055 --> 00:29:33,775
have all these ways of
understanding these things.

479
00:29:34,015 --> 00:29:36,895
Erin Kissane: Thinking about
subjects supposed to know in

480
00:29:36,895 --> 00:29:43,180
this sort of post therapeutic
turn of society, again, I get

481
00:29:43,180 --> 00:29:49,900
pulled back into who we asked to
do that kind of organizing work

482
00:29:49,900 --> 00:29:56,375
for us before that turn, were
frequently whatever kind of

483
00:29:56,375 --> 00:30:03,095
spiritual advisors we depended
on. I think that work that Malz

484
00:30:03,095 --> 00:30:09,800
is doing to break down our own
positioning, our expectations of

485
00:30:09,800 --> 00:30:14,120
the role, really important and
could be really useful in

486
00:30:14,120 --> 00:30:19,165
helping people pull out of the
mode that you might use if you

487
00:30:19,165 --> 00:30:23,245
bring these kinds of problems to
someone who is either an

488
00:30:23,245 --> 00:30:27,245
explicitly spiritual authority.
I am bringing it to my priest. I

489
00:30:27,245 --> 00:30:30,605
am bringing it to my minister.
I'm bringing it to someone in my

490
00:30:30,605 --> 00:30:35,180
zone who has ethical authority
if they're not religious, to an

491
00:30:35,180 --> 00:30:35,900
elder.

492
00:30:36,300 --> 00:30:39,980
Those people are intended to
give you different kinds of

493
00:30:39,980 --> 00:30:43,740
answers. Those people are
intended to give you the

494
00:30:43,740 --> 00:30:49,675
position of cultural wisdom and
authority and advice that will

495
00:30:49,675 --> 00:30:55,195
help you find your way out of
whatever quandary you're in.

496
00:30:56,155 --> 00:31:00,090
That's a really dangerous
posture to bring to these

497
00:31:00,090 --> 00:31:05,530
machine systems. So I think that
kind of picking apart is

498
00:31:06,090 --> 00:31:09,050
essential work and I'm excited
that it's happening. I also

499
00:31:09,050 --> 00:31:12,890
snagged a little bit on
discernment because it's such a

500
00:31:13,125 --> 00:31:15,125
it's it's both such a great
concept.

501
00:31:15,125 --> 00:31:18,245
And I don't know if this will be
clear to those of us who didn't

502
00:31:18,245 --> 00:31:25,205
grow up as church kids, but the
age of discernment is a big deal

503
00:31:25,720 --> 00:31:29,720
in at least the forms of
Protestant Christianity that I

504
00:31:29,720 --> 00:31:34,120
grew up in. I think there are
very similar structures across

505
00:31:34,120 --> 00:31:38,520
at least a bunch of the
Christian tradition. But there's

506
00:31:38,855 --> 00:31:44,055
the idea that until children hit
the age of discernment, you need

507
00:31:44,055 --> 00:31:47,095
to treat them as a slightly
different kind of creature. They

508
00:31:47,095 --> 00:31:51,815
don't have moral reasoning. They
don't have the lived experience

509
00:31:53,040 --> 00:31:56,640
to confront really difficult
questions.

510
00:31:57,920 --> 00:32:03,680
Where we reconstruct discernment
for this moment, what

511
00:32:03,680 --> 00:32:08,905
discernment is going to be for
the children, teenagers,

512
00:32:08,985 --> 00:32:14,505
students, all of us approaching
these weird systems feels like a

513
00:32:14,505 --> 00:32:16,185
really live question to me.

514
00:32:16,185 --> 00:32:18,665
Mols Sauter: I think can I can I
just give a brief defense of,

515
00:32:18,665 --> 00:32:20,810
like, a thing that I say a lot
people that frequently yell at

516
00:32:20,810 --> 00:32:23,130
me for, but I'm just like, no,
this is a very this is how I

517
00:32:23,130 --> 00:32:26,410
think about it and I refuse to
stop? Yeah. Okay. So Susan

518
00:32:26,410 --> 00:32:29,530
Sontag in On Photography. At the
end of On Photography, she's

519
00:32:29,530 --> 00:32:32,010
presenter at the end of the
essay that that is the the money

520
00:32:32,010 --> 00:32:33,290
essay in On Photography.

521
00:32:33,370 --> 00:32:38,045
She says, okay. There are now
both there's the ecology of

522
00:32:38,045 --> 00:32:41,645
reality and the ecology of
images. And over the entire part

523
00:32:41,725 --> 00:32:44,925
over this entire essay, she has
argued, the ecology of images is

524
00:32:44,925 --> 00:32:49,410
basically taking over and re
and, like, re accounting for the

525
00:32:49,410 --> 00:32:52,530
ecology of reality. And this is
a problem. She does not like

526
00:32:52,530 --> 00:32:53,010
this.

527
00:32:53,490 --> 00:32:56,690
And I think on photography is
one of the most important essays

528
00:32:56,690 --> 00:33:00,930
you can read about data and data
systems, not just computer

529
00:33:00,930 --> 00:33:04,975
vision systems, but any data
systems. Instead of having an

530
00:33:04,975 --> 00:33:09,695
ecology that I can access and
look at and contest, you have

531
00:33:09,855 --> 00:33:13,615
created a self referential
system that only relies on

532
00:33:13,615 --> 00:33:16,700
itself to define its own
reality. And that is what

533
00:33:16,700 --> 00:33:20,220
psychosis is. That is when you
have a self referential reality

534
00:33:20,220 --> 00:33:24,140
that is not available for
intervention. When people

535
00:33:24,140 --> 00:33:28,540
attempt to intervene, that input
is taken and translated into the

536
00:33:28,540 --> 00:33:32,095
self referential system and is
not permitted to destabilize it.

537
00:33:32,575 --> 00:33:36,815
And that's what this is. That's
these are like, when you have

538
00:33:36,815 --> 00:33:40,655
nested realities in this way,
that is what is occurring. So

539
00:33:40,655 --> 00:33:43,295
when I sit when we're talking
about the hallucination framing,

540
00:33:43,730 --> 00:33:45,810
the reason why I don't
necessarily like the

541
00:33:45,810 --> 00:33:50,290
hallucination framing is
because, a, of all things become

542
00:33:50,290 --> 00:33:52,690
hallucinations only when they
are offered to someone who is

543
00:33:52,690 --> 00:33:56,770
outside of the self contained
system. So it could be that yes.

544
00:33:56,770 --> 00:33:58,930
You're receiving something that
you are defining as a

545
00:33:58,930 --> 00:33:59,410
hallucination.

546
00:33:59,785 --> 00:34:02,585
Internal to the system though,
that is that is the reality.

547
00:34:02,585 --> 00:34:05,225
That is the that is the natural
production of the context that

548
00:34:05,225 --> 00:34:10,425
it has. I think, like, when
we're talking about systems and

549
00:34:10,425 --> 00:34:13,465
interactions and ways of
interacting with things that are

550
00:34:13,465 --> 00:34:18,010
fundamentally occupying separate
and contained realities from the

551
00:34:18,010 --> 00:34:23,690
one that the we all exist in,
you really can't discount that.

552
00:34:24,250 --> 00:34:27,370
Erin Kissane: I think my
intervention on top of that is

553
00:34:27,370 --> 00:34:33,605
to loop back around to this
question the Dodri brought us at

554
00:34:33,605 --> 00:34:38,885
the very beginning about what
happens when search stops being

555
00:34:38,885 --> 00:34:44,560
a list of references and starts
being a conversation in a closed

556
00:34:44,560 --> 00:34:49,840
and as you just emphasized,
actually quite sharply bounded

557
00:34:49,840 --> 00:34:54,880
subset of material. And of
course, what's in the the

558
00:34:54,880 --> 00:34:57,935
training data is not everything
that's on the Internet. It is a

559
00:34:57,935 --> 00:35:00,895
lot of awful things that are on
the Internet, but even that is

560
00:35:00,895 --> 00:35:03,935
not everything and what's on the
Internet is a subset of

561
00:35:03,935 --> 00:35:06,815
everything. So there's all that
shaping that was already going

562
00:35:06,815 --> 00:35:11,230
in. And then we have these and I
actually because I'm looking at

563
00:35:11,230 --> 00:35:14,350
the technical definitions, I was
looking into psychosis and

564
00:35:14,350 --> 00:35:17,070
hallucinations next to each
other because of course in human

565
00:35:17,070 --> 00:35:19,070
psychology they're often
related.

566
00:35:19,870 --> 00:35:26,125
We are running these systems
that work in this closed way

567
00:35:26,525 --> 00:35:31,485
over this highly shaped dataset.
Additionally, there are the

568
00:35:31,485 --> 00:35:36,685
incentives that the corporations
producing these systems are

569
00:35:36,685 --> 00:35:41,950
applying. It becomes impossible
for those of us on the search

570
00:35:41,950 --> 00:35:45,870
box end to understand which of
these factors we're

571
00:35:45,870 --> 00:35:49,230
encountering, which mixture of
these factors we encounter in

572
00:35:49,230 --> 00:35:53,805
any given interaction, which is
also profoundly destabilizing

573
00:35:53,805 --> 00:35:59,405
and leads, I think, to a lot of
folksonomy of knowledge. This is

574
00:35:59,405 --> 00:36:03,325
happening because someone wanted
it to happen versus this is

575
00:36:03,325 --> 00:36:09,510
happening because the machines
have a psychotic construct of

576
00:36:09,510 --> 00:36:12,550
moving through the world. This
one is happening because

577
00:36:12,550 --> 00:36:14,390
training data is what it is.

578
00:36:14,710 --> 00:36:18,070
It's it's impossible for us to
know. Therefore, we are going to

579
00:36:18,070 --> 00:36:22,605
make so much shit up about what
is happening. At the same time,

580
00:36:22,605 --> 00:36:27,005
we are also being, I think,
substantially destabilized in

581
00:36:27,005 --> 00:36:31,005
our understanding of our own
ability to think and know

582
00:36:31,005 --> 00:36:34,605
things. That's a pretty volatile
combination when you are feeling

583
00:36:34,605 --> 00:36:41,120
destabilized as someone who may
have less agency or subjectivity

584
00:36:41,120 --> 00:36:45,040
than you would expect and you're
encountering all this stuff. It

585
00:36:45,040 --> 00:36:47,520
feels like a powder keg to me
culturally.

586
00:36:48,175 --> 00:36:52,975
I don't think we tend to see
great things happen in eras

587
00:36:53,375 --> 00:36:58,895
characterized by really
extensive spiritual malaise

588
00:36:58,895 --> 00:37:04,260
about our ability to know things
and take action. Not to end on a

589
00:37:04,260 --> 00:37:07,220
bummer, but I do think these
things are worth watching

590
00:37:07,220 --> 00:37:12,260
closely as we bring all of this
to everyone whoever touches

591
00:37:12,580 --> 00:37:14,260
search or asks their phone a
question.

592
00:37:14,675 --> 00:37:17,235
Mols Sauter: Just a shout out
quick shout out to Nick Siever

593
00:37:17,235 --> 00:37:19,875
and the book and his book
Computing Taste and the concept

594
00:37:19,875 --> 00:37:23,235
of the Heterogloss Corporation.
That is a really good sort of

595
00:37:23,235 --> 00:37:26,515
set of ideas to think through
like how a bunch of different

596
00:37:26,515 --> 00:37:29,555
things get combined, like Yeah.
Collapsed down into the one

597
00:37:29,860 --> 00:37:33,700
result, the one interface, the
one he's talking about a company

598
00:37:33,700 --> 00:37:38,660
that is definitely maybe not
Spotify, but great So good. Also

599
00:37:38,660 --> 00:37:39,380
super readable.

600
00:37:43,995 --> 00:37:48,235
Audrey Evans: This was my dream
interview. I had so much fun.

601
00:37:48,555 --> 00:37:49,995
Mols Sauter: It's the interview
with the reading list.

602
00:37:49,995 --> 00:37:52,155
Audrey Evans: Yeah. Thank you
both so much.

603
00:37:52,155 --> 00:37:53,355
Erin Kissane: Thank you, Audrey.

604
00:37:55,595 --> 00:38:01,080
Audrey Evans: You can find Mauls
and Aaron all over the web, but

605
00:38:01,080 --> 00:38:05,240
I'm gonna lead you to where this
all started on Blue Sky when I

606
00:38:05,240 --> 00:38:08,760
stumbled across a really
interesting conversation they

607
00:38:08,760 --> 00:38:14,195
were having. You can find Mauls
at oddletters dot bsky dot

608
00:38:14,195 --> 00:38:21,715
social and Erin at
kisane.my@proto.social.

609
00:38:38,835 --> 00:38:53,290
Mike Rugnetta: That is the news
we have for you this week. We're

610
00:38:53,290 --> 00:38:57,050
gonna be back here in the main
feed on or around Thursday, July

611
00:38:57,050 --> 00:39:03,975
2. How do we love $4 a month for
a Never Post membership? Let me

612
00:39:03,975 --> 00:39:14,055
count the ways. One, two, three,
four.

613
00:39:16,055 --> 00:39:20,280
That's it, I guess. Neverpo dot
s t. Become a member today.

614
00:39:21,640 --> 00:39:24,600
Never Post's producers are
Audrey Evans, Georgia Hampton,

615
00:39:24,600 --> 00:39:28,040
and the mysterious doctor, first
name, last name. Our senior

616
00:39:28,040 --> 00:39:29,400
producer is Hans Buto.

617
00:39:29,400 --> 00:39:32,845
Our executive producer is Jason
Oberholzer. Show's host, that's

618
00:39:32,845 --> 00:39:39,565
me, is Mike Rugnetta. Moving
variant ornithography of those

619
00:39:39,565 --> 00:39:44,525
uninitiated made into memory by
the me briefly incarnate. Full

620
00:39:44,525 --> 00:39:48,540
of myself on successive nights
dense and alone sings you back.

621
00:39:49,020 --> 00:39:53,420
Need keeps the book of dying
open, the language common after

622
00:39:53,420 --> 00:39:53,980
all.

623
00:39:54,620 --> 00:39:59,925
Excerpt of fourth fourth from
the whole note by Gil Ott. Never

624
00:39:59,925 --> 00:40:03,205
Post is a production of charts
and leisure and it's distributed

625
00:40:03,205 --> 00:40:05,685
by Radiotopia.
