Tootfinder

Willem challenged us to ask ourselves what we would do if we were living under Nazi occupation. Before all of this, I doubt anyone thought they would be complicit. I doubt anyone said to themselves, "nothing. I would cower in fear and do nothing."
But for 4 years or so we all answered that question again and again with our lives. Now here we are, answering it again... Every day. But it's no longer "what would you do during the rise of Hitler?" It's now, "what would you do after the invasion of Poland," and "what would you do after you knew about the concentration camps?"
For some people, the answer is still, "nothing."
But a lot of people have been brave in the face of it all. A lot of people have died, and a lot more will die. He will die, perhaps after a ruling by some court or other but, honestly, probably not. That's just how these things work out. Lots of people die, some for no reason, some because they stood up against injustice. A whole lot of people do nothing, until it's safe to claim victory... Until it's no longer safe to be on the other side.
That's just how these things go. Fascism is self-defeating, but it causes incredible harm on it's path of self-destruction. The more people who stand up, who risk themselves, the faster it collapses and the fewer it can hurt. That's also just how these things go. It's incredibly dangerous for everyone until enough people take some extra risk and make it safe for everyone again.
But that question still stands... Which one of those groups are you in? Are you proud of what you are doing, or will you look back with shame? Some of y'all have a lot to be proud of, but, if you're not, it's never too late to earn your way into that proud group.

I wonder if tall walls outside the zoo serve any zoological function. These next to green terrains. Or if they're just a matter of angry greed: "either you pay for a ticket for our whole huge facility, or you won't even see a single sparrow that flew inside."

Bar plots like these may raise more questions than answers.
Without any y-axis label what are we to make of this? We don't really have a sense of scale.
Are two months on the x-axis long enough to show correlation or just coincidence?
They show graphs only for select neighbor countries all with a spike on or around around 3/1. What about non-neighbor countries? Could this have been a global phenomenon?
Don't want to pick on the source (in the image alt text)…

"everything is brittle and at the mercy of anyone angry enough to poke it"
As a magnet, sticker, mug or more.
Get yours: https://davidaugust.threadless.com/designs/warehouse-fire/accessories/sticker
h/t @…

ENBCS Conference 2026 (Hamburg): Buddhist and Christian Perspectives on the Mind https://networks.h-net.org/group/announcements/20140875/enbcs-conference-2026-hamburg-buddhist-and-christian-perspectives-mind

Is Dee Winters the answer at LB for the Dallas Cowboys? https://insidethestar.com/is-dee-winters-the-answer-at-lb-for-the-dallas-cowboys

Replaced article(s) found for cs.CL. https://arxiv.org/list/cs.CL/new
[2/5]:
- POTSA: A Cross-Lingual Speech Alignment Framework for Speech-to-Text Translation
Li, Cui, Wang, Ge, Huang, Li, Peng, Lu, Tashi, Wang, Dang
https://arxiv.org/abs/2511.09232 https://mastoxiv.page/@arXiv_csCL_bot/115541846907664054
- Beyond Elicitation: Provision-based Prompt Optimization for Knowledge-Intensive Tasks
Yunzhe Xu, Zhuosheng Zhang, Zhe Liu
https://arxiv.org/abs/2511.10465 https://mastoxiv.page/@arXiv_csCL_bot/115547607561282911
- $\pi$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.10696 https://mastoxiv.page/@arXiv_csCL_bot/115564418836654965
- Based on Data Balancing and Model Improvement for Multi-Label Sentiment Classification Performanc...
Zijin Su, Huanzhu Lyu, Yuren Niu, Yiming Liu
https://arxiv.org/abs/2511.14073 https://mastoxiv.page/@arXiv_csCL_bot/115575715073023141
- HEAD-QA v2: Expanding a Healthcare Benchmark for Reasoning
Alexis Correa-Guill\'en, Carlos G\'omez-Rodr\'iguez, David Vilares
https://arxiv.org/abs/2511.15355 https://mastoxiv.page/@arXiv_csCL_bot/115581410328165116
- Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
Dong Liu, Yanxuan Yu
https://arxiv.org/abs/2511.16681 https://mastoxiv.page/@arXiv_csCL_bot/115603508442305146
- Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Transla...
Marii Ojastu, Hele-Andra Kuulmets, Aleksei Dorkin, Marika Borovikova, Dage S\"arg, Kairit Sirts
https://arxiv.org/abs/2511.17290 https://mastoxiv.page/@arXiv_csCL_bot/115604083224487885
- A Systematic Study of In-the-Wild Model Merging for Large Language Models
O\u{g}uz Ka\u{g}an Hitit, Leander Girrbach, Zeynep Akata
https://arxiv.org/abs/2511.21437 https://mastoxiv.page/@arXiv_csCL_bot/115621178703846052
- CREST: Universal Safety Guardrails Through Cluster-Guided Cross-Lingual Transfer
Lavish Bansal, Naman Mishra
https://arxiv.org/abs/2512.02711 https://mastoxiv.page/@arXiv_csCL_bot/115655090475535157
- Multilingual Medical Reasoning for Question Answering with Large Language Models
Pietro Ferrazzi, Aitor Soroa, Rodrigo Agerri
https://arxiv.org/abs/2512.05658 https://mastoxiv.page/@arXiv_csCL_bot/115683267711014189
- OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Convers...
Albrecht, Lehmann, Poltermann, Rudolph, Steigerwald, Stieler
https://arxiv.org/abs/2512.09804 https://mastoxiv.page/@arXiv_csCL_bot/115700409397020978
- Does Tone Change the Answer? Evaluating Prompt Politeness Effects on Modern LLMs: GPT, Gemini, an...
Hanyu Cai, Binqi Shen, Lier Jin, Lan Hu, Xiaojing Fan
https://arxiv.org/abs/2512.12812 https://mastoxiv.page/@arXiv_csCL_bot/115729149622659403
- Beg to Differ: Understanding Reasoning-Answer Misalignment Across Languages
Ovalle, Ross, Ruder, Williams, Ullrich, Ibrahim, Sagun
https://arxiv.org/abs/2512.22712 https://mastoxiv.page/@arXiv_csCL_bot/115808161882146194
- Activation Steering for Masked Diffusion Language Models
Adi Shnaidman, Erin Feiglin, Osher Yaari, Efrat Mentel, Amit Levi, Raz Lapid
https://arxiv.org/abs/2512.24143 https://mastoxiv.page/@arXiv_csCL_bot/115819533211103315
- JMedEthicBench: A Multi-Turn Conversational Benchmark for Evaluating Medical Safety in Japanese L...
Liu, Li, Niu, Zhang, Xun, Hou, Wang, Iwasawa, Matsuo, Hatakeyama-Sato
https://arxiv.org/abs/2601.01627 https://mastoxiv.page/@arXiv_csCL_bot/115847901607405421
- FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG
Dassen, Kotula, Murray, Yates, Lawrie, Kayi, Mayfield, Duh
https://arxiv.org/abs/2601.05866 https://mastoxiv.page/@arXiv_csCL_bot/115881545684182376
- {\dag}DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
Zabir Al Nazi, Shubhashis Roy Dipta, Sudipta Kar
https://arxiv.org/abs/2601.06853 https://mastoxiv.page/@arXiv_csCL_bot/115887753245730019
- Symphonym: Universal Phonetic Embeddings for Cross-Script Name Matching
Stephen Gadd
https://arxiv.org/abs/2601.06932 https://mastoxiv.page/@arXiv_csCL_bot/115887767008671765
- LLMs versus the Halting Problem: Revisiting Program Termination Prediction
Sultan, Armengol-Estape, Kesseli, Vanegue, Shahaf, Adi, O'Hearn
https://arxiv.org/abs/2601.18987 https://mastoxiv.page/@arXiv_csCL_bot/115972010510378715
- MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu
https://arxiv.org/abs/2601.20451 https://mastoxiv.page/@arXiv_csCL_bot/115977891530875024
toXiv_bot_toot

In summary then, it is indeed quite like being at school. Half hour lessons on things that probably won't ever actually be useful to know in your particular job of varying levels of interest. Mostly pretty low interest honestly. Bumping into colleagues between lessons.
Learned the names of a couple of tools I might try. One google search would have gotten me those but I guess it's a question of thinking to look for them.
If you can judge the mood of an industry from a random selection of talks from a single conference then the industry is very optimistic that they can make AI write a lot of software.
It seems to think this is likely to mean fewer programmers rather than there being more software meaning more workers.
It wasn't as AI heavy as I thought when I first glanced at the program. Managed to mostly be not-ai I think.
Nobody talking about the ethical implications or suggesting joining a union and only one talk about the environment issue at all, it not really noting how much power the industry is about to take.
Liked having a few meals in amserdam with colleagues I never usually see (mostly remote workers, including me). The boss is pretty good at picking people really.
Get a day or so of holiday now too.
#devWorld

RE: #Israel #Palestine #US