Hyungwook Yim

Computational cognitive scientist; the origins of knowledge, learning mechanisms, representation, context; Academic at Hanyang University, Seoul.🐈🦮🍜🍉

[Morty @0xMortyx]

Anthropic Engineer Andrej Karpathy dropped a full 6-hour course on how to build LLMs from scratch and use it:

• 00:00 - Deep dive into LLMs
• 03:31:23 - Building ChatGPT from scratch
• 05:27:43 - How to use LLMs (Karpathy method)

This course can replace a $150K Stanford LLM senior degree.

Start watching today, then read article below

[Richard McElreath 🐈‍⬛ @rlmcelreath]

We've added to the website a free PDF of the Bayesian Workflow book (for non-commercial purposes, like research and exorcism). We put so much work into this book, hope you all find value in it. https://t.co/f472XjM6cf

[Computational Cognition & Development Lab. @compcogdev]

🚨 New paper alert!
Our study (w/ Simon Dennis & Adam Osth) on the list-length effect is out in Journal of Experimental Psychology: General!

#CognitivePsychology #MemoryResearch #recognitionmemory #JEPG #OpenScience #ListLengthEffect #PsychScience @APA_Journals

[Raja Marjieh @RajaMarjieh]

1/n LLMs learn to represent numbers by predicting tokens in text. This poses a challenge: depending on context, the same set of digits can be treated as a number or a string. Given this duality, we ask what is a number in the eyes of an LLM? Is it a string or an integer? Or both?

[Gal Raz @_galraz_]

1/ Excited to share a new preprint with @anjie_cao (co-first), @rebecca_saxe and @mcxfrank: "A stimulus-computable rational model of habituation in infants and adults" https://t.co/03IK1OGt08

[David Eagleman @davideagleman]

This is Warren Sturgis McCulloch, one of the foundational thinkers in artificial neural networks. He died long before I consumed his papers as a graduate student, and in fact even before I was born.
What is so striking to me is how contemporary this clip from 1962 feels. The reporter asks him whether a machine could love its offspring, and McCulloch immediately states that if his own brain is able to do it, there's no reason we couldn't get a machine to do it.
This guy has always existed in my mind as a legend, but seeing this clip sealed it for me. From the documentary "The Living Machine".
#AI #foundations

[Eiko Fried @EikoFried]

So in 2007, physicists wrote a paper that made the headlines: according to their calculations, human coin flips aren’t 50/50 - more like 51/49.

Why is that, and did students in Amsterdam really flip 350,000 coins to find out?

🧵

[Martin Hebart @martin_hebart]

Using deep neural networks to disentangle visual and semantic information in human perception and memory
https://t.co/V5JAmQURU4

[Taegyoon Kim @TaegyoonK]

🚨Exciting Opportunity at KAIST🚨 The School of Digital Humanities and Computational Social Sciences is on the lookout for talented scholars to join our community as tenure-track professors. We're a dynamic, interdisciplinary community, uniting researchers (1/4)

[Wai Keen Vong @wkvong]

1/ Today in Science, we train a neural net from scratch through the eyes and ears of one child. The model learns to map words to visual referents, showing how grounded language learning from just one child's perspective is possible with today's AI tools. https://t.co/hPZiiQt6Vv

[Bradley Love @ProfData]

"The inevitability and superfluousness of cell types in spatial cognition" w @ken_lxl @Rob_Mok Whether place, border, head direction, Jennifer Aniston, or whatever cells, are we fooling ourselves? Are these intuitive findings scientific discoveries? 1/6
https://t.co/foEgw12eWr

[Luiz Pessoa @PessoaBrain]

𝗧𝗮𝘀𝗸-𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝘀𝘁𝗿𝗲𝘁𝗰𝗵𝗶𝗻𝗴 𝗼𝗳 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻
"Task-relevant stretching", that's a concept worth considering!

[MAA @maanow]

Three logicians walk into a bar.

The bartender asks: 'Does everyone want a drink?'

The first logician says: 'I don't know.'

The second logician says: 'I don't know.'

The third logician says: 'Yes.'

[Paul Frankland @Franklandlab]

RIP my departmental colleague, Endel Tulving (1927-2023). Such a profound impact on the science of memory in the 20th and 21st centuries. His theoretical contributions will surely endure.

[Nelson Cowan @NelsonCowan1]

I'm happy to say that with a terrific group of grad students and a postdoc, we carried out a broad review that I never could have done on my own, for the Annual Review of Psychology, on **the relation between attention and memory** https://t.co/c9oIdM5oYW

[Hyungwook Yim @hw_yim]

@vishnusreekr This is a nice resource that includes practical advice.
There are also many BRM papers on eyetracking that discuss related issues, along with a software they proved. https://t.co/3VhmsqXBGW

[Oliver Sacks Fdn. @OliverSacks]

Today we remember Oliver Sacks. A naturalist, a writer, a psychonaut, but first and foremost a physician and explorer of the human condition. In this clip from a lecture he gave at Vanderbilt University in 1999, he talks about how many different "ways of being" there are.

[Trends in Cognitive Sciences @TrendsCognSci]

Color appearance and the end of Hering’s Opponent-Colors Theory

OPINION by Bevil Conway, Saima Malik-Moraleda, & Edward Gibson, @BevilConway @saima_mm @LanguageMIT

https://t.co/2gC3idhEd9

[Judy Fan @judyefan]

Cognitive scientists! You don’t want to miss our #CogSci2023 Workshop: “How does the mind discover useful abstractions?” https://t.co/fBWH2L3jUr Co-organized w/ the peerless @wkvong + Lio Wong + @marcelomattar!

[Martin Hebart @martin_hebart]

I'm thrilled that THINGS-data is now online! We provide 3 massive datasets of fMRI, MEG, & behavior in response to up to 1854 objects and >22k images. We hope this will allow studying objects in vision, memory & language with unique semantic breadth! Link: https://t.co/hCTpymmRjU