Tootfinder

Außergerichtliche Hinrichtungen - was Behemoth #Netanjahu seit längerem praktiziert, macht nun auch Darth #Trump ganz ungeniert: Er ließ ein Boot beschießen und tötete elf Menschen - nur auf den bloßen Verdacht hin es seien Drogenkuriere.
Er musste vor keinem Gericht einen Wahrheitsbeweis erbringen. Einf…

US-Angriff auf mutmaßliches Drogenboot: „Nach allem, was wir wissen, waren das außergerichtliche Hinrichtungen“
Die USA töten elf Menschen auf einem Boot in der Karibik – angeblich Drogenkuriere eines venezolanischen Kartells. Doch an der Rechtmäßigkeit des Angriffs gibt es große Zweifel.

Heartbreaking to see a once sharp, insightful and shrewd friend give up on rigor and logic and collapse into purified rage and lashing out with no foundation nor grounding.
Hard losing the trust and closeness that once was.
Radicalization can ruin so much. We are all vulnerable to it.
Asking oneself questions like "what information, if it existed, would change my mind" and "am I wrong, can I figure out how I am" and finding answers might help avoid it…

Krise in Europa - deutsch-französische Freundschaft auf Tiefpunkt
Bundeskanzler Friedrich #Merz sieht in den Gesetzen von Nicolas Carnot († 24.8.1832) einen Angriff auf die deutsche Verbrennerindustrie und wirft Emanuel #Macron vor, elektrische Kleinwagen gegenüber deutschen Maximalverbrauchern bevort…

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
Ziliang Wang, Kang An, Xuhui Zheng, Faqiang Qian, Weikun Zhang, Cijun Ouyang, Jialu Cai, Yuhang Wang, Yichao Wu
https://arxiv.org/abs/2510.00861

Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
While search-augmented large language models (LLMs) exhibit impressive capabilities, their reliability in complex multi-hop reasoning remains limited. This limitation arises from three fundamental challenges: decomposition errors, where tasks are incorrectly broken down; retrieval missing, where key evidence fails to be retrieved; and reasoning errors, where flawed logic propagates through the reasoning chain. A single failure in any of these stages can derail the final answer. We propose Erasa…

Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
Lucas Roberts, Denisa Roberts
https://arxiv.org/abs/2510.00324 https://

Which Programming Language and Model Work Best With LLM-as-a-Judge For Code Retrieval?
Code search is an important information retrieval application. Benefits of better code search include faster new developer on-boarding, reduced software maintenance, and ease of understanding for large repositories. Despite improvements in search algorithms and search benchmarks, the domain of code search has lagged behind. One reason is the high cost of human annotation for code queries and answers. While humans may annotate search results in general text QA systems, code annotations require s…

The Kavanaugh Stop's Legacy: 50 Days, 170 Detained Citizens, Zero Answers (Mike Masnick/Techdirt)
https://www.techdirt.com/2025/10/29/the-kavanaugh-stops-legacy-50-days-170-detained-citizens-zero-answers/
http://www.memeorandum.com/251029/p126#a251029p126

Statistics-Friendly Confidentiality Protection for Establishment Data, with Applications to the QCEW
Kaitlyn Webb, Prottay Protivash, John Durrell, Daniell Toth, Aleksandra Slavkovi\'c, Daniel Kifer
https://arxiv.org/abs/2509.01597

Statistics-Friendly Confidentiality Protection for Establishment Data, with Applications to the QCEW
Confidentiality for business data is an understudied area of disclosure avoidance, where legacy methods struggle to provide acceptable results. Modern formal privacy techniques designed for person-level data do not provide suitable confidentiality/utility trade-offs due to the highly skewed nature of business data and because extreme outlier records are often important contributors to query answers. In this paper, inspired by Gaussian Differential Privacy, we propose a novel confidentiality fra…

The Role of Logic and Automata in Understanding Transformers
Anthony W. Lin, Pablo Barcelo
https://arxiv.org/abs/2509.24024 https://arxiv.org/pdf/2509.2402…

The Role of Logic and Automata in Understanding Transformers
The advent of transformers has in recent years led to powerful and revolutionary Large Language Models (LLMs). Despite this, our understanding on the capability of transformers is still meager. In this invited contribution, we recount the rapid progress in the last few years to the question of what transformers can do. In particular, we will see the integral role of logic and automata (also with some help from circuit complexity) in answering this question. We also mention several open problems…

Consequences of Undecidability in Physics on the #TheoryOfEverything: #universe is a #ComputerSiimulation: https://news.ok.ubc.ca/2025/10/30/ubco-study-debunks-the-idea-that-the-universe-is-a-computer-simulation/ - new study uses logic and physics to definitively answer one of science's biggest questions.