kir∅ul
@kiroul.org
Reposted by kir∅ul
... and a short blog post with some additional details.
🌎 statmodeling.stat.columbia.edu/2025/11/07/m...
🌎 statmodeling.stat.columbia.edu/2025/11/07/m...
MSc and PhD programs in statistics at the University of British Columbia | Statistical Modeling, Causal Inference, and Social Science
statmodeling.stat.columbia.edu
November 7, 2025 at 8:06 PM
... and a short blog post with some additional details.
🌎 statmodeling.stat.columbia.edu/2025/11/07/m...
🌎 statmodeling.stat.columbia.edu/2025/11/07/m...
Reposted by kir∅ul
If you want to learn more about what's new in Typst 0.14, read our blog post at typst.app/blog/2025/ty... which goes over the highlights in more detail.
Typst: Typst 0.14: Now accessible – Typst Blog
Typst 0.14 is out now. With accessibility by default, PDFs as images, character-level justification, and more, it has everything you need to move from draft to...
typst.app
October 24, 2025 at 12:38 PM
If you want to learn more about what's new in Typst 0.14, read our blog post at typst.app/blog/2025/ty... which goes over the highlights in more detail.
Reposted by kir∅ul
The lens reveals: the model does NOT go directly from amore to "amor" or "amour" by just dropping or adding letters!
Instead it first "thinks" about the (English) word "love".
In other words: LLMs translate using *concepts*, not tokens.
Instead it first "thinks" about the (English) word "love".
In other words: LLMs translate using *concepts*, not tokens.
October 11, 2025 at 12:02 PM
The lens reveals: the model does NOT go directly from amore to "amor" or "amour" by just dropping or adding letters!
Instead it first "thinks" about the (English) word "love".
In other words: LLMs translate using *concepts*, not tokens.
Instead it first "thinks" about the (English) word "love".
In other words: LLMs translate using *concepts*, not tokens.