Tootfinder

2/2 Reflection on #citizenship:
I do not treat the concept of “#democracy" lightly. I was born into the aftermath of centuries of totalitarian oppression that ended suddenly, leaving the nascent Ukrainian state of the late 90s and early 2000s floundering in the turbulent whirlpool of hopes and fears felt by millions of people who were finally allowed to ponder: how to build a free democratic state in the place of Soviet and imperial ruins?
I was taught the words "democracy", "citizen", "freedom", "voting", “liberty" (and more) by people who, less than two decades prior, weren't allowed to leave the borders of their country. I was told about self-determination by people whose political choices were ridiculed, punished, and eviscerated form most of their lives. The duty of governing ourselves felt to us ephemeral - a nice fantasy, akin to a fairytale or a utopia from fictional works.
And then I saw those same people fight with their bodies and souls once the previously unfathomable democracy was threatened. Protests in 2004, then again in 2014, then the unthinkable war against foreign invasion in 2022. Democracy no longer felt abstract or silly. It became as tangible as saying "I love you".
I write of Ukraine as I reflect on becoming a citizen of another country because the history and values of my adopted United States feel as real as the skin on my legs, the significance of its legacy lays as heavy as the weight of my waist-long hair, and the desire to uphold the freedoms of its Constitution burns my throat as harshly as dehydration after a long day in the sun.
People have asked me why I even want to join this country, when the present moment is shrouded in impenetrable darkness. And I answer: because I've felt the warmth of a newly lit fire of freedom breaking through shadows that for centuries looked like solid walls. I have seen kindness, and solidarity heal the fear and hate of oppression. I've seen liberty emerge from nothing but the human soul.
I am not a religious person, but I have faith. Faith in the ideals at the foundation of the American project. Faint but powerful recognition that "we the people" now includes me.
I love #America. And I hope to keep loving my home for the rest of my life.

BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
Tomas Ruiz, Siyao Peng, Barbara Plank, Carsten Schwemmer
https://arxiv.org/abs/2510.12516

BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
Test-time scaling is a family of techniques to improve LLM outputs at inference time by performing extra computation. To the best of our knowledge, test-time scaling has been limited to domains with verifiably correct answers, like mathematics and coding. We transfer test-time scaling to the LeWiDi-2025 tasks to evaluate annotation disagreements. We experiment with three test-time scaling methods: two benchmark algorithms (Model Averaging and Majority Voting), and a Best-of-N sampling method. T…

#MünchnerRunde #BR #Aiwanger ist tatsächlich so dumm und meint, mit den Einsparungen beim Bürgergeld wären all die nötigen Investitionen zu leisten. Jeder zweite Satz enthält das Wort Bürgergeld. Früher hätte m…

Ok #osint #geolocation folks...
1) What is this building?
2) Where was I standing?
3) What is the antenna mast on top for? Can you identify the exact license, frequency band, etc?
CW guesses or answers to avoid spoilers.

#Wordle 1,580 4/6*
⬜⬜⬜⬜🟨 <1% of 226,639 (219)
🟨⬜🟨⬜⬜ 13% of 165 (30)
⬜🟩🟩🟨⬜ 5% of 21 (1)
🟩🟩🟩🟩🟩
WordleBot
Skill 88/99
Luck 43/99
I really didn't think that was going to be the answer.
Wow my 3rd guess could have gone horribly wrong if the answer was different.

Rewarding only 'interesting' answers worked out so well in Psychology, let's stick with it when training LLMs. https://theconversation.com/why-openais-…

From <Answer> to <Think>: Multidimensional Supervision of Reasoning Process for LLM Optimization
Beining Wang, Weihang Su, Hongtao Tian, Tao Yang, Yujia Zhou, Ting Yao, Qingyao Ai, Yiqun Liu
https://arxiv.org/abs/2510.11457

From to : Multidimensional Supervision of Reasoning Process for LLM Optimization
Improving the multi-step reasoning ability of Large Language Models (LLMs) is a critical yet challenging task. The dominant paradigm, outcome-supervised reinforcement learning (RLVR), rewards only correct final answers, often propagating flawed reasoning and suffering from sparse reward signals. While process-level reward models (PRMs) provide denser, step-by-step feedback, they lack generalizability and interpretability, requiring task-specific segmentation of the reasoning process. To this en…

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators
Kai Chen, Zhihai Bi, Guoyang Zhao, Chunxin Zheng, Yulin Li, Hang Zhao, Jun Ma
https://arxiv.org/abs/2509.11185

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators
Neural-based motion planning methods have achieved remarkable progress for robotic manipulators, yet a fundamental challenge lies in simultaneously accounting for both the robot's physical shape and the surrounding environment when generating safe and feasible motions. Moreover, existing approaches often rely on simplified robot models or focus primarily on obstacle representation, which can lead to incomplete collision detection and degraded performance in cluttered scenes. To address these li…

“Sometimes the decision making criteria that the leadership uses to make a decision is different than the decision making criteria that might be reflected in scoring, but that really gets to the heart of it,” he said. 
That sounds a lot like #RFKJr's reasoning - Don't trust experts, I'm the one that knows what the right answer.

Lurie doubles down on S.F. permitting contract despite questions of deputy’s impropriety 
Lurie’s policy chief Ned Segal awarded contract to preferred firm despite report finding it "shouldn’t be considered."

“Sometimes the decision making criteria that the leadership uses to make a decision is different than the decision making criteria that might be reflected in scoring, but that really gets to the heart of it,” he said. 
That sounds a lot like #RFKJr's reasoning - Don't trust experts, I'm the one that knows what the right answer.

Lurie doubles down on S.F. permitting contract despite questions of deputy’s impropriety 
Lurie’s policy chief Ned Segal awarded contract to preferred firm despite report finding it "shouldn’t be considered."