Olivia Guest · Ολίβια Γκεστ

openletter.earth

Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia

https://olivia.science

Entryism

AI entryism subverts anti AI critique.

https://olivia.science

Entryism

AI entryism subverts anti AI critique.

Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

Attached: 2 images "The Analytical Engine has no pretensions whatever to originate any thing. It can do whatever we know how to order it to perform. It [cannot] anticipat[e] any analytical relations or truths. Its province is to assist us in making available what we are already acquainted with." — Ada Lovelace, 1843 https://archive.org/details/adaenchantressof00tool/page/n191/mode/2up

OSF

https://olivia.science

Entryism

AI entryism subverts anti AI critique.

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Error - Cookies Turned Off

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

OSF

Contra Literacy-Laundering: Mechanistic Critical AI Literacy

Critical discourse on large language models (LLMs) has bifurcated between epistemic dismissal that invokes some form of the stochastic parrot metaphor to puncture hype, and pragmatic accommodation that treats LLM capability improvements as grounds for updating the critique. We argue that both misdiagnose the problem as the issue is not whether or not LLMs work, but what kind of working is happening and at whose cost. Drawing on meta-theoretical frameworks of cognitive science, feminist labor ana

The Mind of Mechanical Man

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

openletter.earth

Open Letter: Stop the Uncritical Adoption of AI Technologies in Academia

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

Attached: 3 images New preprint 🌟 Psychology is core to cognitive science, and so it is vital we preserve it from harmful frames. @Iris & I use our psych and computer science expertise to analyse and craft: Critical Artificial Intelligence Literacy for Psychologists. https://doi.org/10.31234/osf.io/dkrgj_v1 🧵 1/

Contra Literacy-Laundering: Mechanistic Critical AI Literacy

Critical discourse on large language models (LLMs) has bifurcated between epistemic dismissal that invokes some form of the stochastic parrot metaphor to puncture hype, and pragmatic accommodation that treats LLM capability improvements as grounds for updating the critique. We argue that both misdiagnose the problem as the issue is not whether or not LLMs work, but what kind of working is happening and at whose cost. Drawing on meta-theoretical frameworks of cognitive science, feminist labor ana

Ishani R. - Future MD Prep | LinkedIn

Hi, my name is Ishani Ray. Thanks for stopping by my page! I’m an MD/PhD student… · Experience: Future MD Prep · Education: Saint Louis University · Location: New York · 500+ connections on LinkedIn. View Ishani R.’s profile on LinkedIn, a professional community of 1 billion members.

https://olivia.science

Theory

What is a cognitive scientific theory?

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Understanding Artificial Neural Networks: Mysterianism about Known Mechanism is Mysticism

Mysterianism is the idea that human cognition, mind, cannot be understood. Taking this concept and applying it to known mechanism — such that claims are made that we do not know how engineered systems, such as artificial neural networks (ANNs), work, or that they constitute black boxes that we can only open with difficulty — is inappropriate at best and malicious at worst. We do know the mechanistic structure of such models because we designed and built them. We also do know their functional rol

Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

Attached: 1 image New-ish preprint! Marcela, @Iris, and I have been working on what CAIL means to showcase & propagate the idea of thinking very differently to tech industry norms on "artificial intelligence" Towards Critical Artificial Intelligence Literacies https://doi.org/10.5281/zenodo.17786243 1/

Olivia Guest · Ολίβια Γκεστ: "This hangs with the other statements in fig 1: 1…" - Scholar Social

Olivia Guest · Ολίβια Γκεστ (@olivia@scholar.social)

Attached: 1 image @Iris covers the main points in her thread, but I just want to sign post a few things that I think are important — do just read the very short paper itself if you're curious as it's about 2 pages worth of main text / formalisms: > notions of MR have existed for millennia. 2/