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Olivia Guest · Ολίβια Γκεστ

@olivia.scholar.social.ap.brid.gy
34 followers 2 following 291 posts

associate professor of computational cognitive science · she/they · cypriot/kıbrıslı/κυπραία · σὺν Ἀθηνᾷ καὶ χεῖρα κίνει 🌉 bridged from ⁂ scholar.social/@olivia, follow @ap.brid.gy to interact

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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 8h
@theluddite you rock
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 9h
@theluddite @Iris 🫶🏼
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 14h
@theluddite perhaps useful: scholar.social/@olivia/115315373231…
scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
The Luddite @theluddite.assemblag.es.ap.brid.gy · 20h
From @olivia: "Critical Artificial Intelligence Literacy for Psychologists." osf.io/dkrgj_v1 If you want AI put in the context of the replication crisis, with a healthy dose of reminders about how and why we should do science in the first place, then this is for you!
osf.io
OSF
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 14h
@theluddite thank you so much and @Iris and I will add your names! I will double check with you how to do it properly, but does it make sense for you to also include a "cite as" on your blog post itself? 🫶
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Reposted by Olivia Guest · Ολίβια Γκεστ
The Luddite @theluddite.assemblag.es.ap.brid.gy · 20h
@olivia For example, here's one quantifying how civil rights a bill is (doi.org/10.1038/s41467-026-73607-x). Here's another that asks whether tweets contain a conspiracy theory (arxiv.org/abs/2602.11962). Fucking bonkers. Both these practices are high on my list of potential […]
assemblag.es
Original post on assemblag.es
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Reposted by Olivia Guest · Ολίβια Γκεστ
The Luddite @theluddite.assemblag.es.ap.brid.gy · 21h
@olivia Good god you are spitting fucking fire in this preprint. It's an absolute joy to be included in it, and I have shared it with my lab! I could not agree more with your stance against clickwork (e.g., for clickwork, theluddite.org/post/ai-poetry.html) and the LLM-as-data-dispenser […]
assemblag.es
Original post on assemblag.es
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Reposted by Olivia Guest · Ολίβια Γκεστ
David Gerard @davidgerard.circumstances.run.ap.brid.gy · 17/10/2026
lol. fuckin palantir employee dives in to defend the company's good name from derek guy nitter.meowing.monster/dieworkwear/… original: x.com/dieworkwear/status/2110454298… > and for the record, we’re not a surveillance company. If you had even […]
circumstances.run
Original post on circumstances.run
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Reposted by Olivia Guest · Ολίβια Γκεστ
The Luddite @theluddite.assemblag.es.ap.brid.gy · 17/10/2026
@olivia omg that's so awesome! It's been extremely frustrating watching that paper gain citations even after our matters arising was published. I also have some good information about the researcher's relationship to replika but I haven't been able to verify it with public records or find […]
assemblag.es
Original post on assemblag.es
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
@theluddite definitely please check if this is an okay way to cite you Guest, O. & van Rooij, I. (2025). Critical Artificial Intelligence Literacy for Psychologists. PsyArXiv. doi.org/10.31234/osf.io/dkrgj_v1
osf.io
OSF
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
@theluddite I link to that ridiculous replika nonsense often to show that when one digs one finds these people are lost and the conflicts of interest fractals. I cited you in a preprint too! Fingers crossed published soon, but still in revision.
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
@theluddite it's heartbreaking 🪻🌻💙 I also really appreciate your work
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
@theluddite also I just want to be able to hate on AI but still have my space free of it when I need to and to document my opinions. For obvious reasons I think it really sucks the joy out of so much that yes I want to fight it (and I sadly work in an AI dept) but if everything is about it, they […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
The Luddite @theluddite.assemblag.es.ap.brid.gy · 17/10/2026
@olivia "This is therefore a no AI zone in at least two ways: no talking about it (as much as possible) as a central topic — and absolutely no using it." We need more of this! I was just at 4s and AI hype has consumed STS. Most people talking about it have nothing of value to say, so the […]
assemblag.es
Original post on assemblag.es
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
@theluddite oh my coauthor presented some work at 4s Sarah Klein 🧡 also thanks for the kind words!
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
context:
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 17/10/2026
part 2.1 > We have to get this out of the way: do you have time to properly read most of this article? [I will] answer from three very different perspectives: PhD student, faculty, layperson. Each of these [have] distinct, although not mutually exclusive goals […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
> If you struggle to do this and only want to hate-read, take everything as if it is nonsense, then bear in mind this is unlikely to lead to a scholarly understanding of the other except in extremely unusual cases.
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
> If you struggle to do this and only want to hate-read, take everything as if it is nonsense, then bear in mind this is unlikely to lead to a scholarly understanding of the other except in extremely unusual cases.
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
> The point is not to project your understanding of the world, but to understand what the author has to say[. This] is something that I see most often violated in cases where somebody has utterly failed to grasp a piece of writing.
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
> The point is not to project your understanding of the world, but to understand what the author has to say[. This] is something that I see most often violated in cases where somebody has utterly failed to grasp a piece of writing.
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
ok, as promised my take (part 1 of N) on (scholarly) reading skills: > so you must understand that you are entering another world. Think of it a little like stepping into another person’s house. You cannot open random doors and expect the kitchen to be where yours is […]
scholar.social
Original post on scholar.social
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 12/10/2026
ok, as promised my take (part 1 of N) on (scholarly) reading skills: > so you must understand that you are entering another world. Think of it a little like stepping into another person’s house. You cannot open random doors and expect the kitchen to be where yours is […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 11/10/2026
Happy Sunday! Here's a site I've built because I've been thinking about this and want to see more of it in the world: a space for describing and sharing scholarly skills that I've picked up and nurtured over the years. Also this is a no AI zone in at least two ways: no talking about it and no […]
scholar.social
Original post on scholar.social
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 11/10/2026
Happy Sunday! Here's a site I've built because I've been thinking about this and want to see more of it in the world: a space for describing and sharing scholarly skills that I've picked up and nurtured over the years. Also this is a no AI zone in at least two ways: no talking about it and no […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
stib @stib.aus.social.ap.brid.gy · 11/10/2026
How to get into nature, by Rosemary Mosco. rosemarymosco.com/comics/bird-and-m…
4 panel cartoon
How to get into nature
Woman kneels looking at a lizard in the forest:
Notice a living thing.
The lizard, surrounded by plants and insects:
Notice some other things
that live near it.
Text panel:
Notice the connections between them, discover the wider ecosystem, learn about its histories, and find yourself following links from bedrock to stratosphere, between biotic and abiotic, at scales both microbial and massive, until you're hopelessly overwhelmed by the wonder of it all.
Woman is being engulfed by moss:
Fall into a daze and let moss engulf you.
"This is for the best"
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 29/09/2026
@davidgerard
guy in a suit pointing, laughing, and saying "LOL"
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
> Computational models in psychology are typically judged by a single standard: empirical fit. [However, it's] misleading as a sole criterion, as the same result can arise [in] different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations […]
scholar.social
Original post on scholar.social
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
> Computational models in psychology are typically judged by a single standard: empirical fit. [However, it's] misleading as a sole criterion, as the same result can arise [in] different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
RE: scholar.social/@olivia/112229979256… This is primarily based on and builds off work with @andrea from 2021, which discusses how computational models are (or can be) part of the way we perform our science. But it goes further and discusses how we can contextualise evidence for […]
scholar.social
Original post on scholar.social
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
RE: scholar.social/@olivia/112229979256… This is primarily based on and builds off work with @andrea from 2021, which discusses how computational models are (or can be) part of the way we perform our science. But it goes further and discusses how we can contextualise evidence for […]
scholar.social
Original post on scholar.social
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
I'm excited to share this preprint by my wonderful MSc student Yihsin Chuang. She has thought deeply about how psychological & neurocognitive theories relate to different types of evidence. Beyond Empirical Success: Evaluating Theoretical Virtue Across the […] [Original post on scholar.social]
Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain
Authors/Creators

    Chuang, Yihsin
    ORCID icon
    Guest, Olivia1
    ORCID icon

Description

Computational models in psychology are typically judged by a single standard: empirical fit. Unfortunately, fit is insufficient, even misleading as a sole criterion, as the same result can arise from fundamentally different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations, or implementations that compute something other than intended. Distinguishing between these is vital. Our evaluative metatheoretical account recognises that models stand in three distinct relations: a) toward the theory whose causal commitments it purports to capture, b) toward the specification and implementation it purports to compute, and c) toward the phenomenon it purports to explain. Each relation can succeed or fail independently, governed by criteria local to that stage. Importantly, relations are ordered such that theoretical content is transmitted or lost, and losses at earlier transitions are irrecoverable downstream. What a model's empirical success implicates about its theoretical commitments, therefore, depends on whether transitions are secured. Some success or failure profiles support explanatory claims; others only prediction; others establish theoretical coherence without empirical contact. Our account diagnoses what a given model shows, replacing the implicit assumption that empirical success transfers automatically to theoretical understanding with an explicit conditional rendition of what models can and cannot establish.a figure that looks like a cloud that stays "cognitive capacity" with an arrow pointing to a lozenge with "theory" which points to a lozenge with "specification" which points to the same with "data" which is pointed to by a cloud that says "phenomenon"
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 16/09/2026
I'm excited to share this preprint by my wonderful MSc student Yihsin Chuang. She has thought deeply about how psychological & neurocognitive theories relate to different types of evidence. Beyond Empirical Success: Evaluating Theoretical Virtue Across the […] [Original post on scholar.social]
Beyond Empirical Success: Evaluating Theoretical Virtue Across the Computational Modeling Chain
Authors/Creators

    Chuang, Yihsin
    ORCID icon
    Guest, Olivia1
    ORCID icon

Description

Computational models in psychology are typically judged by a single standard: empirical fit. Unfortunately, fit is insufficient, even misleading as a sole criterion, as the same result can arise from fundamentally different situations: theoretically faithful models, mathematically flexible ones, miscalibrated operationalizations, or implementations that compute something other than intended. Distinguishing between these is vital. Our evaluative metatheoretical account recognises that models stand in three distinct relations: a) toward the theory whose causal commitments it purports to capture, b) toward the specification and implementation it purports to compute, and c) toward the phenomenon it purports to explain. Each relation can succeed or fail independently, governed by criteria local to that stage. Importantly, relations are ordered such that theoretical content is transmitted or lost, and losses at earlier transitions are irrecoverable downstream. What a model's empirical success implicates about its theoretical commitments, therefore, depends on whether transitions are secured. Some success or failure profiles support explanatory claims; others only prediction; others establish theoretical coherence without empirical contact. Our account diagnoses what a given model shows, replacing the implicit assumption that empirical success transfers automatically to theoretical understanding with an explicit conditional rendition of what models can and cannot establish.a figure that looks like a cloud that stays "cognitive capacity" with an arrow pointing to a lozenge with "theory" which points to a lozenge with "specification" which points to the same with "data" which is pointed to by a cloud that says "phenomenon"
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Reposted by Olivia Guest · Ολίβια Γκεστ
Pieter T. L. Beck @ptrbck.bsky.social · 29/08/2026
Investigative journalism outlet @apache.be , who were the first to discuss the topic of race science in Ghent, have translated their main articles to English apache.be/2026/03/05/s... /1
apache.be
Self-declared “race realist” Nathan Cofnas receives an appointment at UGent
American ‘woke’-fighter takes Maarten Boudry’s place.
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Reposted by Olivia Guest · Ολίβια Γκεστ
David Gerard @davidgerard.circumstances.run.ap.brid.gy · 14/08/2026
your next job could be in chatbot! could is such a great word www.gov.uk/government/news/ai-bootc…
gov.uk
AI bootcamp launched in north-west to combat youth unemployment
Young people out of work or at risk of entering unemployment after school are set to benefit from a first of its kind AI bootcamp kicking off in the north-west.
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Reposted by Olivia Guest · Ολίβια Γκεστ
David Gerard @davidgerard.circumstances.run.ap.brid.gy · 14/08/2026
at a loss for a hot AI story for today again, suggestions welcomed. what's pissing you off?
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 14/08/2026
@zzt @davidgerard Oh, I got the weirdest email the other day about AI and being an "influencer"... 🫨
Hope you're having a great day!

I’m Jenny Jiao, an Influencer Outreach Specialist at
BlueFocus. I’m helping Figurebot find suitable
creators for this campaign. We’ve been following
your content around research, academia, data
visualization, and productivity, and believe your
audience could be a strong fit for this collaboration.
We'd love to invite you to create one of the following
deliverables on X:

- 1 dedicated X post; or

- 1 X thread containing 4 posts.

The content could introduce FigurelLabs.ai through a
practical research, scientific illustration, or data-
visualization use case while keeping your usual
voice and creative style.
Hope you're having a great day!

I’m Jenny Jiao, an Influencer Outreach Specialist at BlueFocus. I’m helping Figurebot find suitable creators for this campaign. We’ve been following your content around research, academia, data visualization, and productivity, and believe your audience could be a strong fit for this collaboration.

We’d love to invite you to create one of the following deliverables on X:

- 1 dedicated X post; or

- 1 X thread containing 4 posts.

The content could introduce FigureLabs.ai through a practical research, scientific illustration, or data-visualization use case while keeping your usual voice and creative style.
Campaign details:

- Publication deadline: September 5

- Product: https://chat.figurelabs.ai/

- Deliverable: 1 X post or 1 four-post X thread

If interested, could you please reply by August 13 with:

- Your preferred deliverable

- Your quote

- Estimated percentage of your audience located in the US and Europe

- Any available audience demographic screenshots or media kit

- Confirmation of availability before September 5

We look forward to hearing your thoughts.

Best,

Jenny Jiao

Influencer Outreach Specialist | BlueFocus
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 08/08/2026
@davidgerard this extends beyond Green, by the way. for more details on how ControlAI and other EA groups pay science communicators to push AI doom marketing, Carl from Internet of Bugs is excellent: www.youtube.com/watch?v=4lKyNdZz3Vw
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 06/08/2026
@davidgerard I’m very serious about this by the way if you respect science, you must not forgive hank green. you must spread the word on what he’s done, especially if you used to be a fan. this is corruption in the raw and what he’s done must be known. if you respect science, you must verify […]
mas.to
Original post on mas.to
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 06/08/2026
@davidgerard here’s David’s post with the YouTube video: circumstances.run/@davidgerard/1170… if you give a shit about truth and ethics in science communication and media, please show your friends who watch YouTube or TikTok or any of the other video sites what a shill […]
mas.to
Original post on mas.to
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 06/08/2026
hey so about your favorite boy hank green. it’s such a shame that he went overboard with the LLM stuff, that was impossible to see coming, good on him for realizing he was addicted right? well wishes for the good boy! anyway there’s smoking gun evidence that he was paid by effective altruists […]
mas.to
Original post on mas.to
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 08/08/2026
@davidgerard whether Green’s videos are marked as unsponsored because ControlAI paid him in one large lump sum with the understanding he’d do the rest of the AI videos, or it was an explicit part of a partnership contract, or Green’s a true believer fool who took a smaller sum for the sponsored […]
mas.to
Original post on mas.to
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 08/08/2026
@davidgerard for anyone unfamiliar with Yud: oh boy you don’t want it in short, Yudkowsky invented the modern, AI doom cultist, capital-R form of Rationalism. without Yud and Soares, the TESCREAL belief package wouldn’t have the shape or the political power that it does now. these are core […]
mas.to
Original post on mas.to
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Reposted by Olivia Guest · Ολίβια Γκεστ
[object Object] @zzt.mas.to.ap.brid.gy · 08/08/2026
@davidgerard Green stated that he did this in order to present a variety of views on AI, but that’s not true. all of the interviews and AI videos on Green’s channel are in support of ControlAI’s AI doom narrative. there are no opposing viewpoints challenging the ridiculous and unscientific idea […]
mas.to
Original post on mas.to
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Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 09/08/2026
@MrBerard thank you! scholar.social/@olivia/116895347041…
scholar.social
Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)
Attached: 1 image New preprint! So honoured to have worked with Ishani Ray on providing vital critique on "AI literacy" & correctives for those interested in understanding why "just use the newest version of an LLM" is nonsense Contra Literacy-Laundering: Mechanistic Critical AI Literacy https://doi.org/10.5281/zenodo.21222978 1/
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Reposted by Olivia Guest · Ολίβια Γκεστ
Olivia Guest · Ολίβια Γκεστ @olivia.scholar.social.ap.brid.gy · 04/08/2026
💥 Mass action against data centres on November 6 in Amsterdam 💥 More info here: linktr.ee/geeftegengas www.instagram.com/geeftegengas
an image with a group of people in kufiyas facing away from the camera 

in light green text it says: 

JOIN US FOR OUR MASS ACTION 

November 6 
Amsterdam

RISE UP AGAINST DATA CENTERS 

TELEGRAM CHAT VIA THE LINK IN BIO
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Reposted by Olivia Guest · Ολίβια Γκεστ
Mario Munoz @pythonbynight.hachyderm.io.ap.brid.gy · 06/08/2026
@yoginho I would probably take a look at this open letter, as well as some of the respondents on this post. It centers on Academia, but there may be some threads to follow there that overlap: scholar.social/@olivia/117036188700…
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