andrea e. martin
@andreaeyleen.bsky.social
1.8K followers 460 following 42 posts
::language, cognitive science, neural dynamics:: Lise Meitner Group Leader, Max Planck Institute for Psycholinguistics | Principal Investigator, Donders Centre for Cognitive Neuroimaging, Radboud University | http://www.andreaemartin.com/ lacns.GitHub.io
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andreaeyleen.bsky.social
Ode to the original language model, or:
Give me literally Anything* instead of Large Language Models (LLMs)
*(no predictive coding either!)

By Lady Byronadrea LLMartin 1/n
Reposted by andrea e. martin
profannawatts.bsky.social
Lol the Nobels can't even acknowledge women's contribution to discovery. But sure let's acknowledge The Machines.
Headline from an article in Nature this week that states "Prizes must recognize machine contributions to discovery. The future of science will be written by humans and machines together. Awards should reflect that reality."
Reposted by andrea e. martin
bhgross144.bsky.social
"Tools are built for purposes with various affordances toward those purposes...But the goals & philosophies of people who use those tools also matter."

Earle reminds us that modern statistics is rooted in #eugenics (Galton/Pearson) & remains foundational to modern #ArtificialIntelligence. #SHOT2025
AI is Statistics!
Reposted by andrea e. martin
olivia.science
"We document the participation of women in European academia [from the year 1000 to 1800]. A total of 108 women taught at universities or were members of academies of arts and sciences. Comparing them with 58,995 male scholars, we find that they were on average better."

doi.org/10.1093/ereh...
table 1 from David de la Croix, Mara Vitale, Women in European academia before 1800—religion, marriage, and human capital, European Review of Economic History, Volume 27, Issue 4, November 2023, Pages 506–532, https://doi.org/10.1093/ereh/heac023
andreaeyleen.bsky.social
💯 and another popular variant: "your work is too complex"
olivia.science
A repetitive thing we hear a lot as women in cognitive sciences — which comes up especially when we talk to each other about our reviews, how peers talk to us, etc. — is our writing is not accessible, does this generalise to other fields? Weaponised "you're unclear" is so pathetic IMHO of course
Reposted by andrea e. martin
ercenurunal.bsky.social
Know someone whose excellence in research and contributions to the CogSci community should be recognized? Nominate them to be a Fellow of the Cognitive Science Society!

Deadline: Nov 1
More info: cognitivesciencesociety.org/fellows/
cogscisociety.bsky.social
The CogSci Society is accepting nominations for 🌟Fellows of the Society🌟

Fellows are individuals whose research has exhibited sustained excellence and had sustained impact on the #CogSci community.

Visit cognitivesciencesociety.org/fellows/ and submit your nomination until November 1st!
Graphic announcing: “Nominations for Fellows of the Cognitive Science Society are open until Nov 1.” The word “Fellows” is large and bold. To the right, there is a calendar icon showing November 1. Decorative starburst graphic above the text.
Reposted by andrea e. martin
alisonfisk.bsky.social
Charming little octopus from a Roman villa at Villaquejida, León, Spain. Limestone, 2nd-3rd century AD.

Museo Arqueológico Nacional, Madrid 📷 me

#Archaeology
My photo shows a mosaic fragment from the floor of a Roman villa in Spain, dated AD 100-200s. It depicts a cartoon-like, stylised octopus using red, yellow, white, and black limestone tesserae, against a white background. The front-facing octopus has a large red and white head/body outlined in black. Its yellow circular eyes are outlined in black with a central black dot. Below the head/body are eight writhing tentacles
Reposted by andrea e. martin
olivia.science
hahahaha and wow

@andreaeyleen.bsky.social wrote a poem about LLMs 🫠
andreaeyleen.bsky.social
Ode to the original language model, or:
Give me literally Anything* instead of Large Language Models (LLMs)
*(no predictive coding either!)

By Lady Byronadrea LLMartin 1/n
Reposted by andrea e. martin
mps-cognition.bsky.social
Get to know New fellow @andreaeyleen.bsky.social from the MPI for Psycholinguistics. In a recent paper (Weissbart & Martin, 2024, Nature Communications), she shows that the brain doesn’t just rely on word statistics or grammatical rules, but it uses both. Very excited to have her in our program! 🧠🧠🧠
andreaeyleen.bsky.social
6. On Narcissus: A reminder that reflections, however alluring, are not the things reflected. Readers who mistake Microsoft Word for written cognition, or cameras for eyes, are invited to repeat the myth until they grasp its point. 21/n
andreaeyleen.bsky.social
5. On shrimp fried rice: The rhetorical question, “Are you telling me a shrimp fried this rice?” is here repurposed to illustrate the absurdity of mistaking statistical artifacts for cognitive theories. That the metaphor now circulates online as “brain worms” is both apt and lamentable. 20/n
andreaeyleen.bsky.social
4. On predictive coding: A doctrine promising to explain everything by minimizing free energy, but explaining nothing of how, precisely, this explains anything about something in particular. The poet therefore dismisses it with impatience. 19/n
andreaeyleen.bsky.social
3. On toes: The poet does not exaggerate in her appeal to Big Toes (Big Bird’s, Lovelace’s, or Leibniz’s mother’s). Each toe is, in fact, both embodied and chronological, two properties seldom attributed to LLMs. 18/n
andreaeyleen.bsky.social
2. On the weathervane: One might object that weathervanes are not usually invoked in theories of mind. But consider their symbolism, their function, their embodiment, their relationships to hype and zeitgeist, their versatility as weapons. Theorists could do worse (and often do). 17/n
andreaeyleen.bsky.social
Notes:
1. On the phone: The reader may find it strange that a pocket telephone with blinking icons should outshine a trillion-parameter network. Yet the former has transistors, circuits, batteries, and an instruction manual—each more mechanistic than any blackbox model. 16/n
andreaeyleen.bsky.social
So give me anything—phone, shrimp, or toe—ne’er predictive coding tho’-

For minds, and meaning, be more than what machines may show. 15/n

With Thanks to Lord Byron, Emily Dickinson, & @olivia.science
andreaeyleen.bsky.social
Let others worship code in endless streams,
Confusing clever tuning with human dreams;

But I, uncharmed, behold! O, autoregressive cistern,
minds are much more than what machines may return. 14/n
andreaeyleen.bsky.social
Like Narcissus, we gaze and fall instead,
Mistaking shallow waves for what is said.
Reflections glitter, patterns rearranged,
But minds are mortal, embodied, and constrained. 13/n
andreaeyleen.bsky.social
For minds are not the sum of text we see,
Nor mirrors cast by vast circuitry… circularity?
None ever claimed that Microsoft Word was thought outright,
Nor that cameras gave us vision’s inward sight. 12/n
andreaeyleen.bsky.social
A shrimp may fry this rice, forsooth, as well,
As LLMs our inner lives compel.
So tell me, friends, is linalg our fate?
Or symbols buried deep in online spate? 11/n
andreaeyleen.bsky.social
Are we to think, O scholars, with a straightened face,
That a corporate codebase explains the human race?
That internet-trained products, bought and sold,
Unlock the painted hands in caverns old? 10/n
andreaeyleen.bsky.social
And spare me too the free-energy creed,
Where no one knows how minimized need
Explains what mind and brain must heed.
Predictive coding, endlessly proclaimed,
Is less a theory than a description, trivial, renamed. 9/n