Tootfinder

#GiftLink
#Anarchists are now '#antifa': "The indictment defined antifa [as] a “militant enterprise made up of networks of individuals and small groups, primarily ascribing to a revolutionary anarchist or autonomous Marxist ideology [calling] for “the overthrow of the United States government, law enforcement authorities and the system of law.”
Terrorism Charges Against Antifa ‘Cell’ Show Administration’s Focus on the Left - The New York Times
https://www.nytimes.com/2025/10/16/us/politics/justice-department-terrorism-antifa.html?unlocked_article_code=1.t08.a9_Y.RfJdbWfjmAuq&smid=url-share

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
Humza Ashraf, Syed Muhammad Danish, Zeeshan Sattar
https://arxiv.org/abs/2509.09947 https…

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation
There is a growing concern about the environmental impact of large language models (LLMs) in software development, particularly due to their high energy use and carbon footprint. Small Language Models (SLMs) offer a more sustainable alternative, requiring fewer computational resources while remaining effective for fundamental programming tasks. In this study, we investigate whether prompt engineering can improve the energy efficiency of SLMs in code generation. We evaluate four open-source SLMs…

FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
Md Mubtasim Ahasan, Rafat Hasan Khan, Tasnim Mohiuddin, Aman Chadha, Tariq Iqbal, M Ashraful Amin, Amin Ahsan Ali, Md Mofijul Islam, A K M Mahbubur Rahman
https://arxiv.org/abs/2509.11425

FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
Speech tokenization enables discrete representation and facilitates speech language modeling. However, existing neural codecs capture low-level acoustic features, overlooking the semantic and contextual cues inherent to human speech. While recent efforts introduced semantic representations from self-supervised speech models or incorporated contextual representations from pre-trained language models, challenges remain in aligning and unifying the semantic and contextual representations. We intro…

Verkehrssicherheit
CDU: dann sterben sie halt
Terrorbekämpfung
CDU: ne, pfff… kann man nichts machen
Klimaschutz
CDU: nur weil die Dringlichkeit wissenschaftlich bewiesen ist, muss man nicht gleich auch dran arbeiten
Gleichberechtigung und Fortschritt in der Sprache
CDU: 💣💥 das muss mit allen Mitteln der Überwachung, Sprachberboten und Sprachpolizei in aller Akribie bekämpft werden!

Genderverbot an Schulen in Hessen wird scharf kontrolliert - Kritik an "Entgender-Wahn"
Ist im Instagram-Kanal einer Schule noch irgendwo ein Binnen-I versteckt? Hessens CDU-geführtes Kultusministerium treibt das "härteste Genderverbot Deutschlands" mit großem Eifer voran - selbst bei älteren Veröffentlichungen. Offiziell ein normaler Vorgang, Kritiker sprechen von "Entgender-Wahn".

Update on the Estlink-2 #subseacable cut last December:
"Finnish authorities [...] have charged the captain and two senior officers of a Russia-linked vessel that damaged undersea cables last year between Finland and Estonia."

Finland charges top officers of Russia-linked vessel that damaged undersea cables
Finnish authorities say they have charged the captain and two senior officers of a Russia-linked vessel that damaged undersea cables last year between Finland and Estonia. Monday's statement says they denied the allegations of aggravated criminal mischief and aggravated interference with communications. Authorities have said the vessel dragged its anchor to damage the Estlink-2 power cable and communication links between Finland and Estonia on Dec. 25. The Kremlin previously denied involvement …

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
Humza Ashraf, Syed Muhammad Danish, Aris Leivadeas, Yazan Otoum, Zeeshan Sattar
https://arxiv.org/abs/2508.08332

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
Large Language Models (LLMs) are widely used for code generation. However, commercial models like ChatGPT require significant computing power, which leads to high energy use and carbon emissions. This has raised concerns about their environmental impact. In this study, we evaluate open-source Small Language Models (SLMs) trained explicitly for code generation and compare their performance and energy efficiency against large LLMs and efficient human-written Python code. The goal is to investigat…

This is an amazing, fascinating, candid & sometimes even funny book.
▶️ "107 Days" by Kamala Harris on Audible
(Narrated by Kamala Harris)
https://www.audible.com/pd/B0FFD25MJV?source_code=ASSORAP0511160007

Audible: Hörbücher, Hörspiele & Podcast | 30 Tage kostenlos testen
Die größte Vielfalt nur bei Audible: Hörbücher, Hörspiele & Original Podcasts ✓On- und offline hören ✓Beste Autoren & Stimmen ✓Das 1. Hörbuch ist gratis.

Wie kann man #Ackerflächen widerstandsfähiger gegen #Extremwetter machen?
Ein altes Anbausystem rückt wieder stärker in den Fokus und eröffnet Chancen für den #Bodenschutz und d…

Klimaanpassung in der Landwirtschaft: Agroforst schützt Boden und Biodiversität
Agroforst rettet Böden und schützt das Klima – entdecke, wie Bäume auf Feldern gegen Hitze, Erosion und Artenverlust helfen können

🍮 Wissen zum Nachtisch: 🍨
Wie kann man #Ackerflächen widerstandsfähiger gegen #Extremwetter machen?
Ein altes Anbausystem rückt wieder stärker in den Fokus und eröffnet Chancen für den #Bodenschutz

Klimaanpassung in der Landwirtschaft: Agroforst schützt Boden und Biodiversität
Agroforst rettet Böden und schützt das Klima – entdecke, wie Bäume auf Feldern gegen Hitze, Erosion und Artenverlust helfen können

DeepCodeSeek: Real-Time API Retrieval for Context-Aware Code Generation
Esakkivel Esakkiraja, Denis Akhiyarov, Aditya Shanmugham, Chitra Ganapathy
https://arxiv.org/abs/2509.25716

DeepCodeSeek: Real-Time API Retrieval for Context-Aware Code Generation
Current search techniques are limited to standard RAG query-document applications. In this paper, we propose a novel technique to expand the code and index for predicting the required APIs, directly enabling high-quality, end-to-end code generation for auto-completion and agentic AI applications. We address the problem of API leaks in current code-to-code benchmark datasets by introducing a new dataset built from real-world ServiceNow Script Includes that capture the challenge of unclear API us…