He/Ele/Él
Also as @spectraldani@sigmoid.social
"Try to avoid unsigned types (except for representing bitfields or modular arithmetic). Do not use an unsigned type merely to assert that a variable is non-negative."
Example of a possible bug: abseil.io/tips/227
(via @wingolog.org)
"Try to avoid unsigned types (except for representing bitfields or modular arithmetic). Do not use an unsigned type merely to assert that a variable is non-negative."
Example of a possible bug: abseil.io/tips/227
(via @wingolog.org)
My current advice is to use the stderr of the median (bootstrapped), with a separate metric for reliability if needed.
The latter is less standard - we have been reporting e.g. 80% perf quantile and its stderr (bootstrapped).
My current advice is to use the stderr of the median (bootstrapped), with a separate metric for reliability if needed.
The latter is less standard - we have been reporting e.g. 80% perf quantile and its stderr (bootstrapped).
adventofcode.com/2025/about#f...
adventofcode.com/2025/about#f...
adventofcode.com/2025/about#f...
adventofcode.com/2025/about#f...
ASL is the beloved language of Aidan Elliott-McCrea (the linguist behind @wordfamilyfriday.bsky.social), and he gave me both a great intro to ASL and heartfelt social messages too. Listen here:
pod.link/1703401848/e...
ASL is the beloved language of Aidan Elliott-McCrea (the linguist behind @wordfamilyfriday.bsky.social), and he gave me both a great intro to ASL and heartfelt social messages too. Listen here:
pod.link/1703401848/e...
You aren’t imagining it: London's Tube is getting louder.
You aren’t imagining it: London's Tube is getting louder.
Today, Erik presents a novel attack on Google's latest AI weather model at #CCS2025. By changing only 0.1% of the observations, the attack can fabricate or suppress the prediction of extreme events, from hurricanes 🌀 to heat waves 🔥
1/4 @bifold.berlin
Today, Erik presents a novel attack on Google's latest AI weather model at #CCS2025. By changing only 0.1% of the observations, the attack can fabricate or suppress the prediction of extreme events, from hurricanes 🌀 to heat waves 🔥
1/4 @bifold.berlin
Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!
Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!
A small training+inference pipeline for creating your own LLM from scratch
$100 will get you a somewhat functional model
$1000 is more coherent & solves math
detailed walkthrough: github.com/karpathy/nan...
repo: github.com/karpathy/nan...
A small training+inference pipeline for creating your own LLM from scratch
$100 will get you a somewhat functional model
$1000 is more coherent & solves math
detailed walkthrough: github.com/karpathy/nan...
repo: github.com/karpathy/nan...
youtu.be/Q78wvrQ9xsU?...
youtu.be/Q78wvrQ9xsU?...
We'll look at an unusual Chữ Nôm graph and recover some lost 17th-century Vietnamese sounds, among other things.
🌕 🇵🇹 🇻🇳
1/🧵
We'll look at an unusual Chữ Nôm graph and recover some lost 17th-century Vietnamese sounds, among other things.
🌕 🇵🇹 🇻🇳
1/🧵
🔗 www.404media.co/the-discord-...
🔗 www.404media.co/the-discord-...
discuss.python.org/t/python-3-1...
discuss.python.org/t/python-3-1...
www.linkedin.com/posts/tom-be...
www.linkedin.com/posts/tom-be...
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
Do you love letter salads such as NPs, PFNs, NPE, SBI, BED?
Then no place is better than the Amortized ProbML workshop we are organizing at #ELLIS UnConference.
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014
We show how to efficiently apply Bayesian learning in VLMs, improve calibration, and do active learning. Cool stuff!
📝 arxiv.org/abs/2412.06014