Aedan Yue Li

💻🧠🤖

[Steve Stewart-Williams @SteveStuWill]

Parenting practices seem to have little or no impact on children's personalities, contrary to some of the best-known theories in psychology. (Longitudinal study; N = 3,880) https://t.co/c1r63lWjiC

[Dr. Yin Wang @Bruce_Yin_Wang]

I am beyond excited to share a new preprint from my lab ‘The Conceptual Structure of Human Relationships across Modern and Historical Cultures’. We discovered a universal representational space of social relationship concepts. https://t.co/jx3xesH7tC

[Greer @GreerIsNotHere]

I am not sure of the official DAY OF PUBLICATION but my taste ensembles are in JEP:G!
https://t.co/mDv8t1TfLF
please read if you have ever found yourself wondering "on average, how sweet are these briefly presented food pictures?"
w/ jon cant and @KeisukeFukuda4

[Sophia Sanborn @naturecomputes]

Bispectral Neural Networks go to #ICLR2023!

In this work, we present a new neural network architecture capable of learning unknown groups purely from the symmetries implicit in data

—with @cashewmake2, Bruno Olshausen, and Christopher Hillar

1/17

[Alexander Huth @alex_ander]

In the latest paper from my lab, @jerryptang showed that we can decode language that a person is hearing (or even just thinking) from fMRI responses. https://t.co/GUCDtiaXlR

[Aran Komatsuzaki @arankomatsuzaki]

Are Emergent Abilities of Large Language Models a Mirage?

Presents an alternative explanation for emergent abilities: one can choose a metric which leads to the inference of an emergent ability or another metric which does not.

https://t.co/CZzh2th2xo

[Nature is Amazing ☘️ @AMAZlNGNATURE]

Sea of Japan, where snow, beach, & sea meet 🌊

🎥: @Hisa0808

[Imaging Neuroscience @ImagingNeurosci]

It was amazing to see the massive support this week for this big change - thank you.

And huge thank you to the 870 people who already signed up to review for Imaging Neuroscience!
Can we make it a thousand? :-)

[Aedan Yue Li @AedanLi]

@tyrell_turing @LecoqJerome @PessoaBrain By analogy, our current definitions of "sentience" seem based on the verbal/correlated outputs of the system that generates it (e.g., double-dipping), so it fails when generalizing from humans to LMMs (e.g., cross-validation)

[Quanta Magazine @QuantaMagazine]

Major physical advances from the last century — general relativity, the Standard Model and the hunt for the Higgs boson — all have symmetry to thank. New symmetries promise new breakthroughs. https://t.co/O7u2XK20W0

[Quanta Magazine @QuantaMagazine]

Constellations of chemicals interact to form the fragrances familiar to us. To truly understand smell, scientists need to map the relationships among these molecules. Machine learning can help. https://t.co/BJ9335PtAk

[Aedan Yue Li @AedanLi]

@MarcCoutanche @StriemAmit There's an older paper finding consistency for taste (0.84/1 "bits"): https://t.co/tGrtS0GWXm

But this is based on word-taste confusions. Agree someone should look at the correlations among individual similarity matrices without labels to decouple word from sense consistency

[Aedan Yue Li @AedanLi]

@MarcCoutanche @StriemAmit I think it's a really interesting question why there are much lower correspondences for taste in GPT-3 shown in this work (r = 0.2). By contrast, in our shape work humans tend to be correlated to each other at r = ~0.9

[Aedan Yue Li @AedanLi]

@MarcCoutanche @StriemAmit What is especially interesting about this work, is that there are *differences* among the psychophysical dimensions. These dimensions have also been presumably trained from scientific literature (e.g., taste/consonants/timbre)

[Raja Marjieh @RajaMarjieh]

Check out our new work “What language reveals about perception: distilling psychophysical knowledge from large language models”! @RajaMarjieh, @sucholutsky, @polvanrijn, @norijacoby, @CompAudition, @cocosci_lab. https://t.co/7II35IQvlQ 1/n

[Imaging Neuroscience @ImagingNeurosci]

All NeuroImage and NeuroImage:Reports editors have resigned over the high publication fee, and are starting a new non-profit journal

https://t.co/DmnwDKVCK7

This comes with great regret, and a huge amount of thought and discussion- please read announcement to get more details.

[Melanie Mitchell @MelMitchell1]

Article in @QuantaMagazine on two of the most brilliant thinkers I know: Bruno Olshausen and Pentti Kanerva:

https://t.co/hQ1fpWhyEm

[Masafumi Oizumi @oizumim]

Updated the preprint below! We have included the THINGS data (similarity of 1854 natural objects) and successfully aligned the mental representations of 1854 objects across individuals in an unsupervised manner using Gromov-Wasserstein optimal transport.
https://t.co/EqeKlLzJjR

[Journal of Cognitive Neuroscience @JOCN_Journal]

Resolving Cross-modal Semantic Interference among Object Concepts Requires Medial Temporal Lobe Cortex https://t.co/GhSDhnUK0N @mitpress @mitpress

[Aedan Yue Li @AedanLi]

@Brad_Buchsbaum @PessoaBrain @DrYohanJohn @ShahabBakht I found existentialism fascinating! Maybe it doesn't matter whether there is "objective" meaning or not.