www.youtube.com/watch?v=F5_z...
Statistical and deep learning models acted as “sensors” for task demand and WM activity, predicting how much WM is involved in emotion and language domains.
www.youtube.com/watch?v=F5_z...
Statistical and deep learning models acted as “sensors” for task demand and WM activity, predicting how much WM is involved in emotion and language domains.
Something exciting is coming and you won’t want to miss it...PyCon UK 2025 Call for Proposals is opening soon! 🚀🐍
If you've got an idea for a talk, a workshop, or a Young Coders' session, we want to hear from you! 📝✨
👀 Stay tuned 👀
#PyConUK2025 #python #development #CFP
Something exciting is coming and you won’t want to miss it...PyCon UK 2025 Call for Proposals is opening soon! 🚀🐍
If you've got an idea for a talk, a workshop, or a Young Coders' session, we want to hear from you! 📝✨
👀 Stay tuned 👀
#PyConUK2025 #python #development #CFP
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
LLMs trained on next-word prediction (NWP) show high alignment with brain recordings. But what drives this alignment—linguistic structure or world knowledge? And how does this alignment evolve during training? Our new paper explores these questions. 👇🧵
open.substack.com/pub/zerothpr...
open.substack.com/pub/zerothpr...
In my first blog post, I show how this fundamental principle can be mathematized:
✅ Brains adapt, and adaptation is about KL divergence minimization.
Let's unpack the main insights 🧵[1/n]
Link: mysterioustune.com/2025/01/13/w...
🧠🤖🧠📈 #AI
In my first blog post, I show how this fundamental principle can be mathematized:
✅ Brains adapt, and adaptation is about KL divergence minimization.
Let's unpack the main insights 🧵[1/n]
Link: mysterioustune.com/2025/01/13/w...
🧠🤖🧠📈 #AI
Say 𝐱 is a noisy version of 𝐮 with 𝐞 ∼ 𝒩(𝟎, σ² 𝐈)
𝐱 = 𝐮 + 𝐞
MMSE estimate of 𝐮 is 𝔼[𝐮|𝐱] & would seem to require P(𝐮|𝐱). Yet Tweedie says P(𝐱) is all you need
1/3
Say 𝐱 is a noisy version of 𝐮 with 𝐞 ∼ 𝒩(𝟎, σ² 𝐈)
𝐱 = 𝐮 + 𝐞
MMSE estimate of 𝐮 is 𝔼[𝐮|𝐱] & would seem to require P(𝐮|𝐱). Yet Tweedie says P(𝐱) is all you need
1/3
mitpress.mit.edu/978026203903...
mitpress.mit.edu/978026203903...
Part 1: dynomight.net/chess/
Part 2: dynomight.net/more-chess/
Part 1: dynomight.net/chess/
Part 2: dynomight.net/more-chess/
Now is a great time to build some basic pipelines & dashboards that bootstrap an open🦋stats community
30 days ago Bluesky had 10.85M users
Tomorrow Bluesky will have 15M users
This is absolutely wild, thanks for believing in us y'all
Now is a great time to build some basic pipelines & dashboards that bootstrap an open🦋stats community
"Moral Codes" by Alan Blackwell is available now in paperback and a free downloadable #openaccess edition 👉 mitpress.mit.edu/978026254871...
"Moral Codes" by Alan Blackwell is available now in paperback and a free downloadable #openaccess edition 👉 mitpress.mit.edu/978026254871...