Alexey Koshevoy

Alexey Koshevoy

@alexeykoshevoy.bsky.social

Postdoctoral researcher | LSCP, ENS-PSL | Interested in how communication and cultural evolution jointly shape languages https://alexeykosh.github.io

402 followers563 following77 posts

Alexey Koshevoy reposted

A much needed thread!

moin syed@syeducation.bsky.social

Gave a talk in my dept. on the OSF transition. I wrote up a rough script of the session, which could be of interest to others. I synthesize existing resources and provide my own perspectives. Comments and corrections welcome! zenodo.org/records/2306...

Alexey Koshevoy reposted

2023: 8,039 proposals 2024: 10,360 proposals 2025: 17,066 proposals 2026: 21,627 proposals Something's gotta give

Iva Vukušić@vukusiciva.bsky.social

This ridiculous number of applications is, in my view, the result of 2 nightmare developments happening concurrently 1.the precariousness of the job market for young PhD graduates which then fuels further: 2.the AI tools enabling overproduction of proposals. #Research #ERC #ResearchFunding #Academia

I am reading a lot of modelling papers lately, and I have one advice to everyone creating figures with large amounts of observations. Please, rasterize your images, it takes a while to load 1000+ vectorized scatter points in a pdf!

Alexey Koshevoy reposted

tal boger@talboger.bsky.social

Complexity is ubiquitous in the world around us. But different stimuli are complex for different reasons. Does the mind nevertheless represent a ‘unified’ notion of complexity across domains? In @nathumbehav.nature.com, @chazfirestone.bsky.social & I show the answer is: yes! osf.io/preprints/ps...

Alexey Koshevoy reposted

My lab has been really interested in topological perception the past two years. In a new paper, we ask: How does a topological perspective (re-)shape our understanding of visual complexity? Work led by one of our many wonderful undergraduate students, Ashna Shah! link.springer.com/article/10.3...

link.springer.comTopological structure and the creation of visual complexity - Psychonomic Bulletin & ReviewWhat does it mean for something to be complex? Fundamentally, complexity is a cue that something is less easily represented by our minds. With this fact in view, complexity becomes a tool: By understa...

Alexey Koshevoy reposted

Alexey Koshevoy reposted

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More broadly, we think this illustrates the value of strong inference for studying language change: instead of asking whether selection can be detected, we can formalize different mechanisms at the level of individuals and ask which of them can yield the population-level distributions we observe.

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This was only partly what we expected. We preregistered both a preference for shorter words and positive frequency-dependent selection. We found clear evidence for the former, but not the latter.

Interestingly, popularity still mattered for which words users explored: they explored words in proportion to their existing popularity. But there was no evidence that they disproportionately favored already-popular words, meaning that their behavior was consistent with drift.

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We found that the observed distribution of popularity can be explained by a weak but persistent preference for shorter words, and that users did not disproportionately favor alternatives that were already popular.

There are many plausible answers. Maybe people prefer shorter words. Maybe they disproportionately copy already-popular words. Or maybe these dynamics are simply the result of random drift. How can we tell them apart?

We used data from Slovotvir, a crowdsourcing platform where over 4,000 users proposed and ranked alternatives for foreign-origin words over 9 years. We’re very grateful to the creators of Slovotvir for giving us access to their data. Link: slovotvir.org.ua

slovotvir.org.uaСловотвірМайданчик для пошуку, обговорення та відбору влучних відповідників до запозичених слів

Hear! Hear!

Mason Youngblood@masonyoungblood.bsky.social

New tutorial preprint about simulation-based inference! Shows how to fit a cultural evo model to baby name data using approx Bayesian computation, random forests, and deep learning. Wrote for @eslr.bsky.social but wanted to share with others in @culturalevolsoc.bsky.social! :) osf.io/preprints/so...

Alexey Koshevoy reposted

🤖🧠NEW PAPER🧠🤖 (The result of an 8-year project!) LLMs seem very different from symbolic systems. Yet LLMs excel in symbolic domains (e.g., language/code/math). How do they do it? Our finding: LLM representations have implicit symbolic structure! Link in thread ⬇️ 1/n

Alexey Koshevoy reposted

Schrodinger’s language models LLMs randomly choose between possible words, and certain choices can lead to wildly different results Goodfire’s latest work shows that those decisions largely end in roughly the same result. arxiv.org/abs/2608.19611

Alexey Koshevoy reposted

I am currently recruiting for a 2-year postdoc/research fellow role at the University of Auckland here in New Zealand, focusing on auditory perception, hearing, and music in older adults, including people with Alzheimer's disease or other dementias ~NZ$100k/yr, flexible start date, please apply!

forms.glePostdoc in The Music Lab // Expression of interestNote. The below text is a general overview of the sorts of postdocs we often recruit. We are currently recruiting candidates for a 2-year position focusing on auditory perception in aging populations,...

Alexey Koshevoy reposted

Alexey Koshevoy reposted

"CLDF Meta" (meta.clld.org) links to data from over 800 CLDF datasets that have been released on Zenodo (e.g. WALS, APiCS and Grambank). There are links to data on over 9000 languoids, e.g. 98 entries on Ambulas (to take a random language). Great work by my colleague Johannes Englisch!

Alexey Koshevoy reposted

We all heard about Zipf's law of abbreviation (short words are more frequent) and the law of meaning (frequent words are more ambiguous). But what about the relationship that follows from these two, namely the correlation between length and ambiguity? 2/6

We operationalized ambiguity using colexification relying on data from the Lexibank database. We analyzed more than 1,900 languages from 192 families and found that shorter words tend to colexify more meanings than long words. 3/6

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We also found that this relationship is likely independent of word frequency by analyzing the data on 18 languages from Pimentel et al. (2020), where they relied on BERT-based estimations of the degree of ambiguity. 5/6

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We operationalized ambiguity using colexification relying on data from the Lexibank database. We analyzed more than 1,900 languages from 192 families and found that shorter words tend to colexify more meanings than long words. 3/6

Moreover, this relationship seems to be modulated by the number of words recorded for each language, indicating that language documentation influences the strength of the effect. This means that the actual effect might be stronger, as most of the languages in our sample contain very little data. 4/6

“We have added an AI system to our service to make it more efficient.” The efficiency in question:

Lukasz Olejnik@lukaszolejnik.bsky.social

For instance, instead of writing π or 3.14, one can now elegantly write E(E(E(1,E(E(1,E(1,E(E(1,E(E(1,E(E(1,E(1,E(E(1,1),1))),1)),E(E(E(E(E(1,E(E(1,E(1,E(E(1,E(E(E(1,E(E(1,E(1,E(E(1,1),1))),1)),E(E(1,E(E(1, …