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mostlysignssomeportents · 2 months

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Lies, damned lies, and Uber

I'm on tour with my new, nationally bestselling novel The Bezzle! Catch me TONIGHT in PHOENIX (Changing Hands, Feb 29) then Tucson (Mar 10-11), San Francisco (Mar 13), and more!

Uber lies about everything, especially money. Oh, and labour. Especially labour. And geometry. Especially geometry! But especially especially money. They constantly lie about money.

Uber are virtuosos of mendacity, but in Toronto, the company has attained a heretofore unseen hat-trick: they told a single lie that is dramatically, materially untruthful about money, labour and geometry! It's an achievement for the ages.

Here's how they did it.

For several decades, Toronto has been clobbered by the misrule of a series of far-right, clownish mayors. This was the result of former Ontario Premier Mike Harris's great gerrymander of 1998, when the city of Toronto was amalgamated with its car-dependent suburbs. This set the tone for the next quarter-century, as these outlying regions – utterly dependent on Toronto for core economic activity and massive subsidies to pay the unsustainable utility and infrastructure bills for sprawling neighborhoods of single-family homes – proceeded to gut the city they relied on.

These "conservative" mayors – the philanderer, the crackhead, the sexual predator – turned the city into a corporate playground, swapping public housing and rent controls for out-of-control real-estate speculation and trading out some of the world's best transit for total car-dependency. As part of that decay, the city rolled out the red carpet for Uber, allowing the company to put as many unlicensed taxis as they wanted on the city's streets.

Now, it's hard to overstate the dire traffic situation in Toronto. Years of neglect and underinvestment in both the roads and the transit system have left both in a state of near collapse and it's not uncommon for multiple, consecutive main arteries to shut down without notice for weeks, months, or, in a few cases, years. The proliferation of Ubers on the road – driven by desperate people trying to survive the city's cost-of-living catastrophe – has only exacerbated this problem.

Uber, of course, would dispute this. The company insists – despite all common sense and peer-reviewed research – that adding more cars to the streets alleviates traffic. This is easily disproved: there just isn't any way to swap buses, streetcars, and subways for cars. The road space needed for all those single-occupancy cars pushes everything further apart, which means we need more cars, which means more roads, which means more distance between things, and so on.

It is an undeniable fact that geometry hates cars. But geometry loathes Uber. Because Ubers have all the problems of single-occupancy vehicles, and then they have the separate problem that they just end up circling idly around the city's streets, waiting for a rider. The more Ubers there are on the road, the longer each car ends up waiting for a passenger:

https://www.sfgate.com/technology/article/Uber-Lyft-San-Francisco-pros-cons-ride-hailing-13841277.php

Anything that can't go on forever eventually stops. After years of bumbling-to-sinister municipal rule, Toronto finally reclaimed its political power and voted in a new mayor, Olivia Chow, a progressive of long tenure and great standing (I used to ring doorbells for her when she was campaigning for her city council seat). Mayor Chow announced that she was going to reclaim the city's prerogative to limit the number of Ubers on the road, ending the period of Uber's "self-regulation."

Uber, naturally, lost its shit. The company claims to be more than a (geometrically impossible) provider of convenient transportation for Torontonians, but also a provider of good jobs for working people. And to prove it, the company has promised to pay its drivers "120% of minimum wage." As I write for Ricochet, that's a whopper, even by Uber's standards:

https://ricochet.media/en/4039/uber-is-lying-again-the-company-has-no-intention-of-paying-drivers-a-living-wage

Here's the thing: Uber is only proposing to pay 120% of the minimum wage while drivers have a passenger in the vehicle. And with the number of vehicles Uber wants on the road, most drivers will be earning nothing most of the time. Factor in that unpaid time, as well as expenses for vehicles, and the average Toronto Uber driver stands to make $2.50 per hour (Canadian):

https://ridefair.ca/wp-content/uploads/2024/02/Legislated-Poverty.pdf

Now, Uber's told a lot of lies over the years. Right from the start, the company implicitly lied about what it cost to provide an Uber. For its first 12 years, Uber lost $0.41 on every dollar it brought in, lighting tens of billions in investment capital provided by the Saudi royals on fire in an effort to bankrupt rival transportation firms and disinvestment in municipal transit.

Uber then lied to retail investors about the business-case for buying its stock so that the House of Saud and other early investors could unload their stock. Uber claimed that they were on the verge of producing a self-driving car that would allow them to get rid of drivers, zero out their wage bill, and finally turn a profit. The company spent $2.5b on this, making it the most expensive Big Store in the history of cons:

https://www.theinformation.com/articles/infighting-busywork-missed-warnings-how-uber-wasted-2-5-billion-on-self-driving-cars

After years, Uber produced a "self-driving car" that could travel one half of one American mile before experiencing a potentially lethal collision. Uber quietly paid another company $400m to take this disaster off its hands:

https://www.economist.com/business/2020/12/10/why-is-uber-selling-its-autonomous-vehicle-division

The self-driving car lie was tied up in another lie – that somehow, automation could triumph over geometry. Robocabs, we were told, would travel in formations so tight that they would finally end the Red Queen's Race of more cars – more roads – more distance – more cars. That lie wormed its way into the company's IPO prospectus, which promised retail investors that profitability lay in replacing every journey – by car, cab, bike, bus, tram or train – with an Uber ride:

https://www.reuters.com/article/idUSKCN1RN2SK/

The company has been bleeding out money ever since – though you wouldn't know it by looking at its investor disclosures. Every quarter, Uber trumpets that it has finally become profitable, and every quarter, Hubert Horan dissects its balance sheets to find the accounting trick the company thought of this time. There was one quarter where Uber declared profitability by marking up the value of stock it held in Uber-like companies in other countries.

How did it get this stock? Well, Uber tried to run a business in those countries and it was such a total disaster that they had to flee the country, selling their business to a failing domestic competitor in exchange for stock in its collapsing business. Naturally, there's no market for this stock, which, in Uber-land, means you can assign any value you want to it. So that one quarter, Uber just asserted that the stock had shot up in value and voila, profit!

https://www.nakedcapitalism.com/2022/02/hubert-horan-can-uber-ever-deliver-part-twenty-nine-despite-massive-price-increases-uber-losses-top-31-billion.html

But all of those lies are as nothing to the whopper that Uber is trying to sell to Torontonians by blanketing the city in ads: the lie that by paying drivers $2.50/hour to fill the streets with more single-occupancy cars, they will turn a profit, reduce the city's traffic, and provide good jobs. Uber says it can vanquish geometry, economics and working poverty with the awesome power of narrative.

In other words, it's taking Toronto for a bunch of suckers.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/02/29/geometry-hates-uber/#toronto-the-gullible

Image: Rob Sinclair (modified) https://commons.wikimedia.org/wiki/File:Night_skyline_of_Toronto_May_2009.jpg

CC BY 2.0 https://creativecommons.org/licenses/by-sa/2.0/deed.en

#pluralistic #uber #hubert horan #fraud #toronto #geometry hates cars #urbanism #ontpoli #olivia chow #self-regulation #transport #urban planning #taxis #transit #urban theory #labor #algorithmic wage discrimination #veena dubal

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beardedmrbean · 1 year

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A suspect has been arrested in the alleged assault and attempted kidnapping of a pregnant real estate agent in Tucson, Arizona.

Juan Nunley Jr was arrested in El Paso, Texas, on 7 December as a fugitive from Arizona and booked into the county jail under the alias Donasti Davonsiea.

Authorities said the attack happened at a home near Glenn Street and Mountain Avenue on Saturday 8 October.

The realtor was showing a house to a prospective buyer when Davonsiea assaulted her with a weapon and tried to physically restrain her.

She was able to escape and called 911. Her injuries from the attack led to a miscarriage three days later, KOLD News 13 reports.

Detectives were able to identify the suspect as Davonsiea and obtained a warrant for his arrest for manslaughter, aggravated assault with a deadly weapon, and attempted armed kidnapping.

According to the Arizona Department of Corrections, he has been convicted in Pima County of numerous crimes within the past 20 years.

These include second-degree burglary and weapons misconduct in 2003 for which he was sentenced to five and half years for burglary and one and half years for a second-degree escape charge that year.

He was convicted of weapons misconduct again in 2011 and sentenced to three and a half years, and then theft and attempted trafficking of stolen property in 2015, for which he received a sentence of seven years.

In 2018 he was also convicted in Graham County for second-degree escape and sentenced to two years.

Tucson Police Department was offering a reward of $13,000 for information leading to Davonsiea’s arrest in connection with the attack on the realtor.

#nunyas news

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ryttu3k · 2 years

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Clanswap AU, Night Road edition! For previous clanswap fun, see also: the signatures (Tremere!Myca, Lasombra!Fatima, Gangrel!Lucita, Toreador!Anatole, and Nosferatu!Beckett), write-ups for Tremere!Nines and Banu Haqim!LaCroix, and the fic featuring the latter two.

Details beneath the cut for Ravnos!Lettow, Ventrue!Dove, Tremere!Julian, and Cappadocian!Aila!

Lettow Kaminsky | 9th generation Ravnos | unknown sire

One of Lettow's key themes is that he seems to be restless. Let's turn that up a notch! Lettow was Embraced by an unknown Ravnos and immediately went "cool that works", roaming around Europe in an extended childehood. Over time, he met Jasper and Dove, and later Aila; now, he wasn't just a wanderer, but a wanderer with a new family. He still has Riga, of course. Can't eventually be the Eagle Prince without an eagle!

Made it through the Week of Nightmares okay, largely due to Dove staking him when he first went into frenzy. She and Aila watched over him for that time, busied themselves with working out what was happening (there weren't many other Ravnos in the vicinity, but word spread decently quickly that it was something related to the clan), and when everything seemed to calm down, he was able to recover - and come to terms with his new bane.

Being based singularly in Tucson ended up being a good thing. After acquiring Madrigal Real Estate, he was able to establish a network of seven havens, going between them from night to night, with the Viper more or less in the middle. Aila's depression even took a back seat for a while, helping Lettow cope with becoming part of a near-extinct clan, something she was all too familiar with herself. Still, her depression did end up leading her into torpor, and then into being diablerised; Tucson's Ventrue Prince did end up receiving a tree trunk to the chest, and Lettow did end up Prince, largely to find out who had dared to hurt Aila...

The Dove of Moudros | 10th generation Ventrue | Embraced by Sophia Komnenou

So Dove is Greek and Embraced right around the Greek Revolution. Why not get in some Sins of the Sires? That was right around the time that Sophia helped overthrow the former Prince; likely knowing that Peisistratos was a raging misogynist, I could easily see her choosing to Embrace an intelligent, passionate young woman to help back her up when she inevitably tossed him out. Dove fits that bill well, and she helps Sophia in all things technological, taught Ventrue diplomacy and politics, and generally serves as Sophia's assistant.

Well, up until she decides that she's not meant to be a politician and ditches, eventually meeting Lettow, and Jasper, and eventually Aila.

Her story from there is more or less the same as per canon, with a love for radio technology, fast vehicles, and the like, albeit being able to be a little more open about it with her lack of the Nosferatu bane. Her Ventrue bane, too, fits in well, with a feeding restriction on adrenaline junkies and the like. Hanging out at the motor clubs isn't just a hobby, it's dinner!

When they arrive in Tucson, she sticks by Lettow; when the former Prince (still Ventrue) starts being awful and Lettow (as Ravnos) is one of the ones targeted, they start working on taking him down. After, despite Lettow technically being Prince, it's Dove who serves as main advisor and generally runs the show; it's particularly useful when it comes to the former Prince's childer. If they want to Ventrue at her, well, she can just Ventrue louder!

Julian Sim | 11th generation Tremere | Embraced by Jasper Knowles

Julian's backstory is more or less the same up to his Embrace. His canon Banu Haqim sire, however, happened to mention the young man he hoped to Embrace to his friend Jasper; Jasper promptly pointed out that maybe this guy was a little too chaotic to help spread the influence of the Banu Haqim in southeast Asia, canon sire went "...fair point", and left Julian to be Embraced by Jasper instead. Which, honestly, suited Julian just fine!

He's still pretty similar, honestly. Still has a lot of blood sorcery, just this time it's explicitly Tremere Thaumaturgy. Slightly, um, less sense of justice, and one big point of divergence for a Night Road plot is that he doesn't arrange to kill Jasper, his sire. He does end up leaving his side and striking out on his own, though, and still fully intends to do the whole 2100 thing.

The collapse of the Pyramid, here, was a big influence - if hiding and staying secret still saw the Tremere brought to their knees, then what was the point of even having the Masquerade? Why not be themselves, openly, so the SI can't actually attack without causing a major diplomatic incident? Better to be out in the open and with a public that supports them, than skulking around in the shadows and *still* being killed.

Aila | 6th generation Cappadocian | Embraced by Alexia Theusa

Last up, Aila! She's Cappadocian here, having travelled to Constantinople from Anatolia as a young woman and crossing paths with Alexia Theusa, one of the eldest of the clan in the city and close to the Trinity (in this AU, they were, at the time, still around and kicking). Alexia was already 1,300 years old at this point, and the young, passionate, and independent Aila sparked her interest, Embracing her and hoping her youthful passion could help revive the ageing Clan of Death.

Aila... wasn't a natural fit for clan Cappadocian. She was a fan of acting rather than sitting and thinking, and while she certainly pitied Alexia and her fixation on finding her former lover, she couldn't bring herself to become a part of the city. Eventually, after just a few decades, she left, returning to Anatolia under the pretense of meeting more of her clan members.

It was not them she met, however, but rather the Banu Haqim; impressed by their dedication to doing something and being in the company of other Muslims after the largely Christian Constantinople, she requested training from them. Training a woman as one of the Warriors, and one from another clan, no less, they initially refused; when Aila left, trained on her own, and later bested one of their own in combat, they grudgingly agreed to work with her, although she was still forbidden from their stronghold of Alamut. For the next few centuries, Aila lived and trained nearby with the Banu Haqim, becoming a capable combatant; with her face and body masked, few were able to see the corpselike appearance that betrayed her as a part of the Cappadocian clan.

This eventually saved her life when the Giovanni began their rampage against the clan. The Banu Haqim had already seen and fought against the Tremere campaign against the Salubri; now, they defended the remaining Cappadocians as well, Aila defending her clanmates from behind her mask. The end result was, alas, the collapse of the Cappadocians as a clan, with Aila left as one of the few survivors. With nowhere else to go, despairing at the loss, she spent her time training to become stronger and stronger so she would never face the fate of her clanmates, and increasing periods of torpor.

One of those periods of wakefulness happened to coincide with the Great War, and there, she found herself a novelty - a Ravnos fighter pilot, of all things! Lettow was a delightful distraction, and for another handful of decades, she found herself with more energy than she had had in a while, travelling with Lettow and his coterie members, Dove and Jasper. But her long existence always did weigh heavily upon her, and she never fully trusted Jasper or his childe Julian, and a few years into the new millennium, she began to feel the call of torpor again, promising Lettow that it wouldn't be forever, and they would see each other again before he knew it.

He never saw her again.

#vampire the masquerade #vtm night road #clanswap au #feral prince #baron of 2100 #angry pigeon #nr aila

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datascraping001 · 1 year

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sellfurnitureonline · 2 years

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Now a Day Online Free Classified Ads Advertising

Now a day Online Free Classified Ads Advertising is very common all over the world. There was a day when people were just limited to advertise in newspapers, magazines and gazettes and they have to spend a lot of money on the promotion of there business products and services but Free Classified Advertising made a huge impact on the business sector as well as personal transactions and dealings.

People are using Classified Websites as a source of promoting their products, services etc... and many are doing their business online through free classified ads and earning extra profits. Free Classified Websites create a bridge between people who are living in different countries, businessman use it to contact and introduce their businesses to the people from the globe and growing their business Different classified websites created many categories and classifications for example: for sale, real estate, cars and vehicles, jobs and vacancies, business directory, services, matrimonial and dating etc...

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Free classified ads are usually text based with limited text and some allow uploading pictures and videos. There is a simple online form to upload/post ads and request some information from the visitors like: Name, Phone, Email, and ad description etc... some website ask to register first and then they allow posting your ad but some don't.

Basically classified websites gain a great deal of traffic and it is a self promoting website because visitors post ads and share them in their community and generate a lot of traffic in terms of visitors to the website. Visitors and website promote each other's interest that is why there are thousands of classified websites around the globe. Interactive Advertising Bureau estimated the net worth of online classified ads revenue at $2.1 billion as of April 2006.

Some classified websites are for specific countries and regions and some are dealing worldwide. One of the best websites is It is originally a Pakistani website and covered all the cities of Pakistan. Pakistanis from all over the world come and post their free classified ads and convey their message to all the other Pakistanis. It is a totally free classified website and charges you nothing but gives you a lot. You must visit this website because it definitely attract you and compel you

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#post free ads #classified ads #classifiedads #freeclassified ads #ads #classification #classified #adsthumb #post classified ads #post free

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azbesthomesearch · 7 months

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3865 E BART Street, Gilbert, AZ 85295 - $724,900

#Tucson Homes for Sale #Marana Real Estate

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tucsonbizz1 · 8 months

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In this blog, we guide you the essential features, process, & cost of a successful real estate mobile app development.

#Real Estate Mobile App Development #Real Estate Mobile App #Mobile App Development #Guide #Features #Process #Cost #Tucson #Arizona #TucsonBizz

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tucsonrealtorz · 10 days

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tucson realtor

Nestled in the heart of Arizona, Tucson has emerged as a thriving hotspot for real estate. Whether you’re looking to purchase your dream home or sell a property in this vibrant city, understanding the Tucson real estate landscape is key. This comprehensive guide will explore the opportunities within the Tucson housing market, spotlighting key players like Omni Homes International and providing essential tips for connecting with the best realtor in Tucson.

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listerpros-blog · 9 months

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#ListerPros #professional real estate photography #real estate photography tucson #real estate photography phoenix #real estate photography las vegas #real estate photography #real estate videography las vegas #real estate videography #real estate video production

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mostlysignssomeportents · 2 months

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Hypothetical AI election disinformation risks vs real AI harms

I'm on tour with my new novel The Bezzle! Catch me TONIGHT (Feb 27) in Portland at Powell's. Then, onto Phoenix (Changing Hands, Feb 29), Tucson (Mar 9-12), and more!

You can barely turn around these days without encountering a think-piece warning of the impending risk of AI disinformation in the coming elections. But a recent episode of This Machine Kills podcast reminds us that these are hypothetical risks, and there is no shortage of real AI harms:

https://soundcloud.com/thismachinekillspod/311-selling-pickaxes-for-the-ai-gold-rush

The algorithmic decision-making systems that increasingly run the back-ends to our lives are really, truly very bad at doing their jobs, and worse, these systems constitute a form of "empiricism-washing": if the computer says it's true, it must be true. There's no such thing as racist math, you SJW snowflake!

https://slate.com/news-and-politics/2019/02/aoc-algorithms-racist-bias.html

Nearly 1,000 British postmasters were wrongly convicted of fraud by Horizon, the faulty AI fraud-hunting system that Fujitsu provided to the Royal Mail. They had their lives ruined by this faulty AI, many went to prison, and at least four of the AI's victims killed themselves:

https://en.wikipedia.org/wiki/British_Post_Office_scandal

Tenants across America have seen their rents skyrocket thanks to Realpage's landlord price-fixing algorithm, which deployed the time-honored defense: "It's not a crime if we commit it with an app":

https://www.propublica.org/article/doj-backs-tenants-price-fixing-case-big-landlords-real-estate-tech

Housing, you'll recall, is pretty foundational in the human hierarchy of needs. Losing your home – or being forced to choose between paying rent or buying groceries or gas for your car or clothes for your kid – is a non-hypothetical, widespread, urgent problem that can be traced straight to AI.

Then there's predictive policing: cities across America and the world have bought systems that purport to tell the cops where to look for crime. Of course, these systems are trained on policing data from forces that are seeking to correct racial bias in their practices by using an algorithm to create "fairness." You feed this algorithm a data-set of where the police had detected crime in previous years, and it predicts where you'll find crime in the years to come.

But you only find crime where you look for it. If the cops only ever stop-and-frisk Black and brown kids, or pull over Black and brown drivers, then every knife, baggie or gun they find in someone's trunk or pockets will be found in a Black or brown person's trunk or pocket. A predictive policing algorithm will naively ingest this data and confidently assert that future crimes can be foiled by looking for more Black and brown people and searching them and pulling them over.

Obviously, this is bad for Black and brown people in low-income neighborhoods, whose baseline risk of an encounter with a cop turning violent or even lethal. But it's also bad for affluent people in affluent neighborhoods – because they are underpoliced as a result of these algorithmic biases. For example, domestic abuse that occurs in full detached single-family homes is systematically underrepresented in crime data, because the majority of domestic abuse calls originate with neighbors who can hear the abuse take place through a shared wall.

But the majority of algorithmic harms are inflicted on poor, racialized and/or working class people. Even if you escape a predictive policing algorithm, a facial recognition algorithm may wrongly accuse you of a crime, and even if you were far away from the site of the crime, the cops will still arrest you, because computers don't lie:

https://www.cbsnews.com/sacramento/news/texas-macys-sunglass-hut-facial-recognition-software-wrongful-arrest-sacramento-alibi/

Trying to get a low-waged service job? Be prepared for endless, nonsensical AI "personality tests" that make Scientology look like NASA:

https://futurism.com/mandatory-ai-hiring-tests

Service workers' schedules are at the mercy of shift-allocation algorithms that assign them hours that ensure that they fall just short of qualifying for health and other benefits. These algorithms push workers into "clopening" – where you close the store after midnight and then open it again the next morning before 5AM. And if you try to unionize, another algorithm – that spies on you and your fellow workers' social media activity – targets you for reprisals and your store for closure.

If you're driving an Amazon delivery van, algorithm watches your eyeballs and tells your boss that you're a bad driver if it doesn't like what it sees. If you're working in an Amazon warehouse, an algorithm decides if you've taken too many pee-breaks and automatically dings you:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

If this disgusts you and you're hoping to use your ballot to elect lawmakers who will take up your cause, an algorithm stands in your way again. "AI" tools for purging voter rolls are especially harmful to racialized people – for example, they assume that two "Juan Gomez"es with a shared birthday in two different states must be the same person and remove one or both from the voter rolls:

https://www.cbsnews.com/news/eligible-voters-swept-up-conservative-activists-purge-voter-rolls/

Hoping to get a solid education, the sort that will keep you out of AI-supervised, precarious, low-waged work? Sorry, kiddo: the ed-tech system is riddled with algorithms. There's the grifty "remote invigilation" industry that watches you take tests via webcam and accuses you of cheating if your facial expressions fail its high-tech phrenology standards:

https://pluralistic.net/2022/02/16/unauthorized-paper/#cheating-anticheat

All of these are non-hypothetical, real risks from AI. The AI industry has proven itself incredibly adept at deflecting interest from real harms to hypothetical ones, like the "risk" that the spicy autocomplete will become conscious and take over the world in order to convert us all to paperclips:

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

Whenever you hear AI bosses talking about how seriously they're taking a hypothetical risk, that's the moment when you should check in on whether they're doing anything about all these longstanding, real risks. And even as AI bosses promise to fight hypothetical election disinformation, they continue to downplay or ignore the non-hypothetical, here-and-now harms of AI.

There's something unseemly – and even perverse – about worrying so much about AI and election disinformation. It plays into the narrative that kicked off in earnest in 2016, that the reason the electorate votes for manifestly unqualified candidates who run on a platform of bald-faced lies is that they are gullible and easily led astray.

But there's another explanation: the reason people accept conspiratorial accounts of how our institutions are run is because the institutions that are supposed to be defending us are corrupt and captured by actual conspiracies:

https://memex.craphound.com/2019/09/21/republic-of-lies-the-rise-of-conspiratorial-thinking-and-the-actual-conspiracies-that-fuel-it/

The party line on conspiratorial accounts is that these institutions are good, actually. Think of the rebuttal offered to anti-vaxxers who claimed that pharma giants were run by murderous sociopath billionaires who were in league with their regulators to kill us for a buck: "no, I think you'll find pharma companies are great and superbly regulated":

https://pluralistic.net/2023/09/05/not-that-naomi/#if-the-naomi-be-klein-youre-doing-just-fine

Institutions are profoundly important to a high-tech society. No one is capable of assessing all the life-or-death choices we make every day, from whether to trust the firmware in your car's anti-lock brakes, the alloys used in the structural members of your home, or the food-safety standards for the meal you're about to eat. We must rely on well-regulated experts to make these calls for us, and when the institutions fail us, we are thrown into a state of epistemological chaos. We must make decisions about whether to trust these technological systems, but we can't make informed choices because the one thing we're sure of is that our institutions aren't trustworthy.

Ironically, the long list of AI harms that we live with every day are the most important contributor to disinformation campaigns. It's these harms that provide the evidence for belief in conspiratorial accounts of the world, because each one is proof that the system can't be trusted. The election disinformation discourse focuses on the lies told – and not why those lies are credible.

That's because the subtext of election disinformation concerns is usually that the electorate is credulous, fools waiting to be suckered in. By refusing to contemplate the institutional failures that sit upstream of conspiracism, we can smugly locate the blame with the peddlers of lies and assume the mantle of paternalistic protectors of the easily gulled electorate.

But the group of people who are demonstrably being tricked by AI is the people who buy the horrifically flawed AI-based algorithmic systems and put them into use despite their manifest failures.

As I've written many times, "we're nowhere near a place where bots can steal your job, but we're certainly at the point where your boss can be suckered into firing you and replacing you with a bot that fails at doing your job"

https://pluralistic.net/2024/01/15/passive-income-brainworms/#four-hour-work-week

The most visible victims of AI disinformation are the people who are putting AI in charge of the life-chances of millions of the rest of us. Tackle that AI disinformation and its harms, and we'll make conspiratorial claims about our institutions being corrupt far less credible.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/02/27/ai-conspiracies/#epistemological-collapse

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

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