The Normalization Of AI (with Dr Kerry McInerney) 04.29.25

Uh there was. It was Japanese America or Japanese Heritage Night at Dodger Stadium last night, so you know, it was very excited about that also because there was there's unique merch that I'm trying to put my hands on. Yeah, you know what i mean, You know what I mean, You know what I mean. The game Uh no, no, no, I did not make it to the game because her magic You surprised me with tickets to see the Cowboy Carter Tour. Wow, I was not able to go, not

that I even had tickets to the Dodger game. But yeah, yeah, yeah, did that, did.

very understandable. I got a bit of a refresh from that because I was back home in New Zealand in March and like, there's nothing quite like being in a country when you watch the news every day and like nothing happens. It's like a tree fell near the motorway, not even on the motorway, or you know, that kind of level of needs right, right right, And then it came back here and I was like, oh my goodness, this is a very different level of news.

But I think I think as things ramp up here, people more and more realize how how much the norms, as flawed as they were, were things that were worth keeping and trying to improve rather than be like FuG everything, get rid of it all and whatever this is.

for it's hopefully going to be Lord's summer. And yeah, I've been following the single following the kind of weird sort of I don't know if you saw her botched kind of mini and New York spontaneous concert that immediately got canceled because you didn't have a permit was following that, and yeah, I'm just excited for whatever happens next, hopefully an album, hopefully not more botched concerts.

what do you hope? Like, Okay, can you just help me understand what I like what people are talking about with this new like Lord album.

felt pretty split on it. Whereas the second album, which is also my personal favorite, Melodrama, was this kind of like buzzy, poppy, kind of intense sort of dance album, and it sounds like she's going back to like that kind of sound again, and so I think people are just like very excited. It's because, like post Charlie XCX, I like want to hear her do this sound again.

I did. I did. I want everything to be the Bens. Actually, no, Pablo Honey for being honest. Yeah, the first one.

were going through. No, No, it was like a song where like they were it was like just talking about them hanging out and like them being like kind of just like a weird like celebrity friendship type thing.

I don't know when that happens. I feel like they always used to have, you know that like sad little baggie in the back seat for this exact scenario.

was wearing overall. I have such a vivid memory. I was wearing overalls and my mom just put it into that front pocket of my own wow, And I was like, there you go, just put that in your overall pocket because Mommy did not drive this far to buy something for us to leave now.

American style. Even they give you like a leader of coffee right before I went on. So it was also self induced in some way. I was too I was too primed for that to happen. But you know, git two Holidays or whatever airline we were flying, you know, bring back the.

I'm sorry if you're big fans, but I was just like, like, genuinely, I'm quite impressed it got that many because I was like, this is just not like, regardless of what you think about the politics and everything, I'm like, even just with all of that stripped out and all the drama around it, I was like, this is just a bad musical. It's I really, I really find it quite interesting. So I was like, well, kudos to them for.

green book crash thing, Oh right, like by writing it. Yeah, it's like the you know, a very complex issue and then a movie written by somebody who has given ten minutes of thought to it and written a script and then they like put a bunch of you know, filmmaking like good filmmaking work against that, although this one, I agree, this is the music in the musical was not was not outstanding, but shame shame that a shame that.

And after a while, I think that's as we started to speak to more and more experts, we all became rightly unconvinced by its capabilities and like, oh, it's a fancy computer program that's like a toy basically, but they're

saying you can do so much more. Then we see more and more articles about how people using AI are like fucking up in like legal proceedings like the MyPillow guy his lawyers use chat GPT recently and the judges like they're like thirty critical errors in your like your response here, Like I don't even know what this is. But now I'm like, are we now sort of I think because we're sort of past the thing of like this is that world ender game changer, but still these

companies have to make the line go up. Are we like now seeing more of a strategy to just kind of normalize AI use to get people to slowly warm up to it than sort of like the big explosive sort of debut with like chat GPT and things that we saw. Because I feel like now I hear more people talk about AI when they're like miyazakifying themselves or getting a recipe recommendation, rather than like this is going to replace the entire medical field.

a lot of like AI roll out and look. And on the one hand, like I'm not completely against the use of these AI tools if you're really finding it useful and if it's reliable, you're kind of getting the full picture behind the tool and what it's for. But on the other hand, like I think something I do worry about is something that I think has to be integrated into all our ethical tech use is like a meaningful sense of the opt out or a meaningful sense

of the opt in. So like, do I have the right in the ability to say, like NAP I don't want to use this, and you know, am I being like actively consulted and being able to consent to using particular tools or programs and so on and so forth. And yeah, I think the current rollout of AI tools is not really complying with that particularly.

of useless because it's just like that. I mean, yeah, I feel like everybody should be like would be opting out of it if they knew, like and just so you know, like one out of like every I don't know twenty of the things that you search is going to be like blatantly wrong in a way that is going to be humiliating to you. Yeah, Yang, we're not going to tell you which one enjoy the product.

know whether something is right or not. And so for example, like my husband as from North Carolina, as a basketball fan, like I am sort of forcibly inducted into the NBA enough that yeah, I could probably tell that eighty percent maybe actually that might be overestimating my knowledge, but yeah, that twenty percent would be totally out of my knowledge. And so I think that's my fears. If you're relying

on these tools. It's not that people can't tell that something's wrong, but you know that when we're using it for like a really wide range of applications, that does actually require a lot of expertise in all those different things. And I think, certainly, speaking for myself, like that's not something I would be able to do or to discern.

information that has completely colored the you know, the description of something. Now, That's why I'm like, even every time I see those summaries, I'm like, no, Like I'll click on the links that are saying like we're using these to tell us, and I'll look at them like, this is not really even exactly what's happening here, to the point that I feel like it's causing more harm than good because I've at least learned to try and just

research myself. You know. That's how I got my theories on the Earth shape and things like that.

It's like these twelve guys are like, Yeah, this would be amazing if we could replace all the people.

the whole world and all these different cultural contexts and all these different linguistic contexts, because I don't think a single product can, but you know, I do think like there are really interesting examples of groups like Tahuku Media in New Zealand where I'm from, which have been like using AI and machine learning teachiks to try and focus on trail Mody or the indigenous language of New Zealand's

language preservation. And so because of like long histories of kind of the state suppression of Terreo Modi, there was like a period where like there weren't that many Native Trail Moordi speakers. It was like really aggressively suppressed. And now as a result, people are kind of trying to really reinvest and support the kind of revitalization of Treo Mody.

And Peter Lucas Jones, who's this CEO, I believe Teku Media and like their whole team have been really intentional and sort of really world leading think and how they've

been trying to use AI machine learning for this. I think a big part of their project though, is that they're very insistent on like indigenous data sovereignty or making sure that like their platforms aren't sold to big tech or reliant on big tech, And I think I imagine that's like a really challenging project because like this sort of small handful of like big tech firms like are incredibly dominant in this space, but a lot of that has been around like no, you know, we really want

to make sure that this remains like technology by and for MALDI people and for our organization. And so I think projects like that I find like really really inspiring

and really important. But I think they're also just like a great example of like AI development being done super well, which is like you have a clear problem, and you have clear ideas and ways that you think that AI machine learning can help us address in part some of this problem without like positioning it as the solution, because I think if anyone comes out of the gate ands like AI is going to solve this problem, that's when I think you should always be a bit like, oh,

I don't think it is, especially if the problem is something like really really massive, right discrimination is kind of like, well, look, we just have to reject that one sort of straight out the gate and kind of think a bit more specifically about this.

semblance of equity or diversity inclusion. Obviously, as we've seen like the woke DEI initiative crusade against all those things, and that sounds like exactly the kind of thing that Trump would be, like, that's not useful. It just has to be this other thing that's a money making endeavor.

Because right now, his people, like the people within the administration, like the head of Science and Technology, have said things like Biden's AI policies were like divisive and it's all been about all been about the redistribution, like redistribution in the name of equity. And naturally Trump has fired many of the AI experts Biden hired because it was clear

like obviously Biden hired them. He's like, there's a huge bias problem with any of this stuff, and if it's even going to be a product people use, like that's probably a thing worth tackling. But now like it's become sort of like normalized within this administration to say this is all harmful now because it's trying to advance equity, when like when we've spoken to people like you and other experts, it's like, no, you have to get rid of those inequities or else it doesn't even fucking work.

Like like when you're talking about things like being able to someone who has like a darker complexion, how does a like a self automated car even identify that pedestrian as an object to avoid? Because again, these biases affect

all these different systems. But it feels like now like at least from the American conservative side of things or just generally the tech conservative movement is like, yeah, maybe it's just like fine if it you know, misidentifies like black people or doing these other things that just kind of show that at the end of the day, we would only it only needs to work in the way that we want it to work, and all the other applications whatever be damned.

actually in the long run good for everyone. Although I know there's like a reactionary group that feels like any kind of equity or equality is you know, kind of impinging on their own kind of share of the pie. But you know, I really think like AI ethics and

safety is for everyone. But yeah, I also think it's very sad because like this has huge knock on effis for the rest of the world, because like the US is a world leader in AI and tech production, and so yeah, if you have an environment that is kind of saying let's throw ethics out the window, then that does have knock on effis for the rest of the world their buias and uses still a lot of this technology.

So yeah, I think like these rollbacks obviously massively affect the US domestic context, but they certainly don't stop.

So it is that is bad, right, There's no like secret things like well, you know, some bias is good for these things.

would think. I mean, yeah, I mean I think it just comes down to again, like I think there's a fundamental irony of saying, like, you know, the power of these AI enabled tools and products is that you know, we can perform all these like massive tasks at scale, and this idea of again like a product that can be sold across the world, a product that can be used at scale with the kind of knowledge that this only really works for like a very very narrow base.

I mean my assumption to be fair though, is like I think that a lot of people who make products that have, you know, these kinds of exclusions or biases aren't necessarily going in being like, I know my product is really biased, and I actually just like don't care, Like I don't think that usually is it? I think often to me, it's just this kind of mindset of

either we just like haven't really thought about it. I think this particularly common with accessibility, which is that of the accessibility has to be integrated and from the very beginning of the design process it can't be slapped on at the end, and too often I think that's how it gets approached, and so people just haven't even begun to think about you know, oh, like, will my language, I mean, sorry, will my model work for disabled people?

My product work for people with these different kinds of like physical disabilities. Like, you know, I think it's just that the whole groups of populations just get ignored or you know, maybe they've realized and they think, oh, it's actually a really bad thing that this product doesn't work for this particular group. But I think I'm just going to make the trade off and decide, like, I think that's a small enough consumer base that I can still sell my product, and like, I don't think I'll get

too much into pushback. I think it'll be fine. And I think this, you know, might often be the case for populations that are perceived as being like very very small. So I'm thinking of say, like trans or gender diverse people who often get erased from certain data sets because they're like, oh, well, this is like statistically a very small percentage. It's like, yeah, but those people's exclusion like

really really matters. It has a huge impact on their life if they go through a scanner and their body is not recognized or seen as non normative, or if they're excluded from different databases like these do have huge knock on effects for people. So yeah, so I guess I would say that, you know, the kinds of people maybe who are not seeing AI ethics as a priority aren't doing it because they're just like you know, oh,

you know, debiasing whatever. That's fine. I think it's Yeah, it's probably more just to do with a lot of different blinkers, like a certain kind of narrow mindset about who your consumer is and who's like actually using these products.

I mean, did you see this Semaphore article about like the group, the Mark Andresen group chats that like, so he's been having like these signal chats since the days of the pandemic, and it's like he has like gone out of his way to bring in all of these tech leaders and then like fucking super far right wing, like people like Richard Hannania, like the guy who's like an outright white supremacist, and like put these people in

group chats together. Like at one point he like brought in some progressive people and then they wrote a New York Times op ed criticizing laws that were banning critical race theory, and he just like had a meltdown and was like, you betrayed me by writing this thing, and like kicked them out of the group chat, and like since then, it's just all this like extreme right wing propaganda that's being like kind of vomited back and forth between these people who are like the biggest, most powerful

oligarchs and like the people who are in charge of the direction that tech takes. And so I yeah, I mean it feels like this whole thing is developing in a way that feels particularly like non optimal and like stupid and narrow minded and racist and white supremacist and all those things, and like that this was very helpful for a context. I just wonder like all of like we're seeing a model that's being developed not in the

best way possible. It seems like like to say the least, and we're probably going to like discount a lot of these possibilities because they're so shitty at what they're doing. But do you see that sort of white supremacist mindset kind of pervading in the tech mainstream?

explicitly aligning themselves with the right and with Trump. And it's a little bit hard to tell, like how much of this is like political expediency people saying, well, clearly, you know, I'm going to do anything to avoid heavier regulation, we do anything to avoid this kind of like sort of punitive regime that Trump's exacting on many different institutions, So we're going to you know, put ourselves in his camp.

And how much of this is like an expression of like deeper ideologies and deeper kind of political beliefs that have maybe sat door mentor sort of have kind of been cultivated within Silicon Valley and tech firms and now kind of finally bursting onto the scene now that they feel a bit more empowered, as there's kind of been this like global shift towards the right. So yeah, I don't know, honestly, like how much, which you know, we can discern between sort of like the real deep feeling

and the kind of political expediency argument. But I think it's just undeniable that you have people like particularly Mark Zuckerberg, who would have been like normally more kind of center possibly center left a lot of issues even though he was obviously running like a massively exploitative, gigantic, quite dangerous tech company now sort of really aggressively rebranding as a kind of wooing Trump, but also sort of big into a lot of these like hyper masculiness, tech bro sort

of languages and ideologies that I don't think certainly five years ago we would have seen him sort of supporting in the same way. So yeah, it feels like there's been this sort of very visible shift in Silicon Valley. But again, as someone who's not based in Silicon Valley, like I probably couldn't tell you like how much that feels like this this is actually the real face of the Beast versus this is actually just like what people are doing for the moment.

wacky as hell. And that's why I think, like reading this article, it was a little bit more like damn. I mean, I don't know if everybody in this group chet thinks that, but there are definitely some vocal people in this group chat that definitely think they are the ones who are going to solve these very complex issues, but in the most like inelegant, one size fits all

kind of way. That's just all about power. And that's when I'm like, oh, I think it's really these are starting to blend together, especially as we see how much how people's like media diets and the information they receive are informed by what these people who are running these companies, how they believe in like how information should move and how people get siloed into information bubbles and things like that.

That's when I started to begin to be like, mmm, this feels a little bit more like a smoking gun when you hear like, you know, these ideas are being like exchanged and knowing that like there's this guy Curtis Yarvin that we talked about a few weeks ago who's like basically like a tech monarchist who has a lot of ideas that people like Elon Musk and Peter Teel like are really subscribed to. And yeah, and like in

these group chats. It's is where these a lot of these very influential people start getting introduced to these kinds of ideas. So that's when I'm like, hmm, this feels

very sinister at best. I mean, like when you see this and then thinking that these are the people that control the levers that you know, just normal people who are using the Internet and stuff get affected by their policies, it feels like a little bit like they figured out this is how they exercise like their immense control over people in these sort of you know, less sort of not like in the ways that we think in terms of governance or whatever, but through the spread of information and ideas.

is this like small scale influencing. Like I think often when we talk about disinformation or misinformation, we're thinking about that in terms of like, oh, someone makes like an AI deep think and they like release it onto the internet, and somehow that deep fake like convinces like many many many people that this event occurred or didn't occur, and it has like seismic effects, and like, you know, again,

I don't think that's necessarily how disinformation works. I think that, yeah, these kinds of like small cultivated circles of trust and maybe the things that we should be really really concerned about, which is like what actually causes people to change their mind or change behaviors, Like maybe these are the levers

that can like be significantly more effective. But yet the second is kind of a point you were raising, and I think does again like tie into what happens when you build these bonds of trust, which is just like

following the money. And like you mentioned sort of the massive amount of tech funding that got t I'm at the office and I had a colleague who now wiks to The Guardian, and he and the team kind of just like tracked all the funding behind the Trump and Harris campaigns, and what was just really astounding was just like the extraordinary amount of money that specifically just came from tech, and like that's been a really big change

in the last five years or so. Is just like how much money sort of Silicon Valley has deally putting it into political lobbying. And so I think, you know, yeah, it's even regardless of like your political orientation, but like particularly right now with the Trump administration, Like I think that's something we should all be really concerned about.

like full court press propaganda. Kind of making and it feels like, oh, everyone kind of wins in their own way, although there are clearly some people intec have their regrets after all the tariff chaos, and they're like no, no, no, no, no, no no no not actually, also, don't just fuck that one's actually really valuable. I just wanted less regulations and for people to say the N word on Twitter more. That was my whole thing, and now I have no

money or less money. But yeah, it's it feels like it's just like the most clown show version of all this, I think, which is also very frustrating to watch or just have to sit idly buyas it's all happening to us very intentional.

it means to be a man? Or doesn't matter that he like has gone on Joe Rogan and now like propagates a lot of these ideas and has you know, publicly shift admitta to kind of align with or support

Trump's administration. Like that, to me is like what really matters right now, which is that we have kind of these active, kind of shifts of power in the tech industry that go beyond kind of like politically signaling in certain ways, Like they're really really tangible, And I think Musk is like the flagship of that in terms of someone who's just been like very very visible in the administration. But you know, he's certainly not the only one.

war on Terror. But first of all, I'm just curious, Like it seems like the sort of thing that would be hard to get fooled by. But the Internet is obviously massive and full of like stupid people. But like, does this sort of application concern you? Are the models, doctor McNerney, like advanced to a degree that like, you know, I could get pulled in by a bot that like claims to be a college professor who once has some interesting literature for.

these like fraudulent or fake uses of AI. It's like they really affect that kind of shared trust.

turing test? Like not obviously like specific questions like in a Blade Runner, but like overall things that they don't deal well with.

we look at something, we're like, that's obviously spam. And my colleague clear says, it's like, well, it's because like they don't want to be getting a huge pool of people who are like not actually that easily food getting bought in to the first step, because like these people are not going to go all the way like they want the people who they think will go all the way with them and hand over money or like who will like even not feel confident enough to challenge what's happening,

or they'll be really like bored into what's happening. But you know, yeah, like the kind of core of like the scamming is not necessarily saying like oh, it's about crafting the perfect email to get people through the door. It's about like, no, who can we actually take to the end. And I think like, yeah, a lot of these AI chatbots, it's like we might look at this and say like, Okay, well this seems really sketchy, but like they just need to get enough people who are

like oh okay. But actually, like a lot of the interfaces I use online are like not super great or like, you know, I might not find them very intuitive, and like, oh, this is kind of a scary thing that I've been suggested to do, or like they've made a threat about like my money or something like that. So I've got to now like stay engaged in this conversation. And you know, so I think like to some extent, like there is like a particular exploitation of vulnerability that happens in these

in these scams. But yeah, in terms of like a touring test for these chat bots, I don't know, because I feel like, also, yeah, like I feel like people are often like oh, like I can totally tell when I'm changing to a chatbot, and I'm like, I don't know if I always can. I think you know it is.

They can be like especially with something like chat GPT, Like you know, I know with people say anecdotally have talked about, say trying to discern whether like chat GPT has been used to write essays, like that's more common in the context that I'm in higher education, and like sometimes they can get like really clear, like really clear keywords, or they'll say okay, like the people keep using a phrase that is like not super normal to use in

this discipline, but like probably is quite normal if you use AI. So they might have keywords like that, you might have really obvious tells that they've kept the prompted like okay, please write me and essay about it.

of like initial first pass. But this is just like my instinctive thoughts and like maybe this actually yeah, like the version of like a cop has to tell you a cop for AI.

is interesting, doctor carry to consider. Like I didn't think about how it's like you need it to be shit, so you put off the people that are going to be smart enough by the time it comes to the part where you ask money, because if they're already in at the most wacky version, like Carol, when are we going to play golf this weekend? And they're like, huh, I'm not Carol, and they're like exactly that funny.

But like, I just feel like there's just no no way to believe any image that you see, Like you just need to keep googling ask ask whether it is AI or not. And then of course you're asking Google's AI whether it's AI or not, and you know they're probably in on it too. But what what would you say? What are the uses that you feel like are most concerning that you're you're kind of keeping an eye on that you see evolving the fastest.

concerning when you see them made. Like for me, it's like that broader point you said of like I don't really know what I can trust, and like I think the creation of deep fakes in and of themselves, like you know, they undermine sort of our broader trust in our information environment, and like this is happening at a time when out information environment is already very chalic and quite hostile, and so like, yeah, I really feel in particular, I mean I feel for all of us, but I

really feel for young people kind of growing up in this like very intense, polarized, kind of extreme media environment. And I don't think that kind of the possibility of deep fakes and the sort of this idea that like anything creative could be fictitious is going to necessarily help that or help people believe that they can have access

to kind of verifiable and true information. So like to give an example of this, like one example here is this idea of like the liar's dividend, which is like anyone could say something kind of mean or offensive or untrue, and then you know, when confronted about it, they could say, like, oh, that video clip's not true, like that was a deep fake, Like that's fake news, to use a very common term from US politics, And you know, it could be that actually,

like ninety nine percent of people are like, no, we really think you said that. That sound like you like we've done all these checks and we think this is real footage. But like you can plant just snuffed out in people's minds. You can plant that one percent where people are like, but what if actually this is is a deep fake, Like what if this isn't true? And I think that's how that you kind of get this erosion of sort of the information landscape that makes everything

that little bit shakier. Because yeah, again, like I think when it comes to say, like the impact of like AI generated misinformation sort of on things like elections, Like there was a lot of fear around this last year because last year was kind of had all these democratic elections called like the Year of Elections, and also sort of the emergence of like really really sophisticated generative AI tools coming out at the same time and it seems

like actually the verdict on that is a little bit mixed.

And so you know, one kind of study looked at this and they said, well, actually, of you know, just under eighty pieces and media we looked at of these AI generated sort of pieces attached to different political campaigns or elections, and like, you know, half of them like weren't necessarily misinformation, and then the other half of them like, you know, yes, a lot of like they were made by AI, but like a lot of them really were like more like cheap fakes or like they were not

necessarily actually deeply reliant on AI tools. It could have quite easily been made something with like Photoshop for example. So yeah, AI has made the production of these particular pieces of media, but it's not necessarily actually like fundamentally changed what we're able to do necessarily in these particular cases.

So yeah, so I think like when it comes to sort of like the cause effect of saying, like, you know, we're going to have these specific pieces of disinformation, they're gonna have these specific negative effects, I think, you know, the picture there is maybe not as extreme as some of the media fear around it last year was portraying, But yeah, I think this broader question of like how do we know what we can trust like that remains really central.

on a lot of people. I just see it creeping into so many creative spaces that I'm like, it's cheapening so many things because like, for example, like Pinterest, if you look for anything around like architecture right now, I was like looking for something it's just like in because I'm in the process of hopefully like rebuilding my home of like trying to look at architecture pictures, eighty percent of them are bullshit AI slop images where you're like, oh,

that's an interesting kitchen. You're like, why is the sink in the wall like this? Like wait, hold on what And I'm like, then none of these power chords like line up with where the lamps are, And it just sort of it like gets to the point where like this is this isn't even real stuff that I can draw inspiration from or even like on Spotify, like there's so much more AI generated music that is also kind

of taking like shifting people's focus. Like I also see the way we listen to music is really changing, where it's much more passive and you're being fed music rather than like seeking music you used to you know, you used to go buy a CD, which I don't mind because I'm I love when I discover new music through these kinds of these sort of like algorithmic playlists and

things like that. But it's also created like a whole other like genre of music that's like a fake artist that has like is just putting up sort of texture, like really uninteresting music to have in the background. It there's some really insidious that like word for it. It's like functional music or just something that it's like is not really meant to listen to, but just on passively.

And when I see all that, I'm like, oh, this is this really also takes away from like the magic of human creativity and you know, just the the skills that people build through composition or design or whatever, you know, because everything is being flooded with things that are just kind of like based on it, but not you know, having that real sort of sincerity to it. And that's that's another one that I see happening more and more and more, and like, ooh, this feels like this is

going to be a slippery slope too. Now I think it'll be fine anyways. Yeah, yeah, yeah, it's fine, it's fine. Yeah, It's all a one. It's all a one. As Linda. Did you see her.

instead you get the kind of a ones. Yeah, well without there.

we've been discussing today. A couple of other substacks and channels maybe to shout out is AI snake Oil is a really really great if you're interested in kind of maybe trying to debunk some of the hype around AI, trying to like get the grips of like, Okay, what can all these different AI tools do or not do? I think they do a really great job. And I think Mystery AI Hype Theater three thousand, I always get the name mixed up, but like that's also a good

fun and they have a lot of fun. I think kind of trying to look through various sort of you know, slightly sketchy looking AI projects together and sort of you know, tearing them apart. So would definitely recommend those shows too nice.

But the memes that didn't come out of Fire Festival were unfortunately spectacular, and so I have been going back through some of those, like in the now very mature with like five year old cheese sandwich memes that came out of Fire Festival. So that's been my like current social media, why are we doing that like old albums?

three to one, you know what I mean. He's done it before, we've done it before, and that's I guess that's what it calls for. That's what it calls for. Or I will just ignore everything and go full fetal and sob every night. But there's that, And then if you want to hear me talk to ninety day Fiance, I do that over at four twenty day Fiance. A post I like from Blue Sky is from Eric Columbus at Eric Columbus dot beaskuy dot soci. He quote tweeted a tweet from a reporter and it's first of all,

the quote. The tweet that's been quoted says, because the Canadian elections had just happened, it said one couple at a voting station in Port Credit said they would rather not speak to American American media. They then apologized three times, and then they quote tweeted it with saying peak Canada. Yeah, yep, I get it, I get it, don't speak to don't, but I'm also sorry we won't. We can't speak to American med.

us on Twitter and Blue Sky at Daily Zeigeist. We're at the Daily Zeitgeist on Instagram. You can go to the description of the episode wherever you're listening to this and you can find the footnotes, which is where we link off to the information that we talked about in today's episode.