Tootfinder

O whatsapp fez alguma coisa e agora links do Instagram frequentemente não aparecem mais como texto. Então nestes casos eu não consigo mais apagar as informações de rastreio antes de repassar o link para alguém. 🫤

Logical Consistency Between Disagreeing Experts and Its Role in AI Safety
Andr\'es Corrada-Emmanuel
https://arxiv.org/abs/2510.00821 https://arxiv.org/…

Logical Consistency Between Disagreeing Experts and Its Role in AI Safety
If two experts disagree on a test, we may conclude both cannot be 100 per cent correct. But if they completely agree, no possible evaluation can be excluded. This asymmetry in the utility of agreements versus disagreements is explored here by formalizing a logic of unsupervised evaluation for classifiers. Its core problem is computing the set of group evaluations that are logically consistent with how we observe them agreeing and disagreeing in their decisions. Statistical summaries of their al…

Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage
Siddhant Arora, Haidar Khan, Kai Sun, Xin Luna Dong, Sajal Choudhary, Seungwhan Moon, Xinyuan Zhang, Adithya Sagar, Surya Teja Appini, Kaushik Patnaik, Sanat Sharma, Shinji Watanabe, Anuj Kumar, Ahmed Aly, Yue Liu, Florian Metze, Zhaojiang Lin
https://arxiv.…

Stream RAG: Instant and Accurate Spoken Dialogue Systems with Streaming Tool Usage
End-to-end speech-in speech-out dialogue systems are emerging as a powerful alternative to traditional ASR-LLM-TTS pipelines, generating more natural, expressive responses with significantly lower latency. However, these systems remain prone to hallucinations due to limited factual grounding. While text-based dialogue systems address this challenge by integrating tools such as web search and knowledge graph APIs, we introduce the first approach to extend tool use directly into speech-in speech-…

lol so in order to add any kind of 2FA to a Twitch account, I have to give them my phone number and agree to “Twitch may use your phone number to call or send text messages for informational purposes.”
How much 2FA goodwill have thirsty companies like this destroyed?

Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
Ugur Dinc, Jibak Sarkar, Philipp Schubert, Sabine Semrau, Thomas Weissmann, Andre Karius, Johann Brand, Bernd-Niklas Axer, Ahmed Gomaa, Pluvio Stephan, Ishita Sheth, Sogand Beirami, Annette Schwarz, Udo Gaipl, Benjamin Frey, Christoph Bert, Stefanie Corradini, Rainer Fietkau, Florian Putz

Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
Introduction: Large language models (LLM) have shown great potential in clinical decision support. GPT-5 is a novel LLM system that has been specifically marketed towards oncology use. Methods: Performance was assessed using two complementary benchmarks: (i) the ACR Radiation Oncology In-Training Examination (TXIT, 2021), comprising 300 multiple-choice items, and (ii) a curated set of 60 authentic radiation oncologic vignettes representing diverse disease sites and treatment indications. For …

Kid2 had pizza day yesterday. The school decided to order from a new place that offers "healthy pizza." The kids apparently poured onto the playground after lunch, having barely touched the stuff, chanting "We want [corporate pizza chain]!" While I may not agree with their taste in pizza, I'll take collective action any day. And the kids won! The school sent around an email last night saying they were going back to the old place and that they'd pay for a pizza par…

Logical Consistency Between Disagreeing Experts and Its Role in AI Safety
Andr\'es Corrada-Emmanuel
https://arxiv.org/abs/2510.00821 https://arxiv.org/…

Logical Consistency Between Disagreeing Experts and Its Role in AI Safety
If two experts disagree on a test, we may conclude both cannot be 100 per cent correct. But if they completely agree, no possible evaluation can be excluded. This asymmetry in the utility of agreements versus disagreements is explored here by formalizing a logic of unsupervised evaluation for classifiers. Its core problem is computing the set of group evaluations that are logically consistent with how we observe them agreeing and disagreeing in their decisions. Statistical summaries of their al…

US-Regierung genehmigt Waffenverkauf an die Ukraine
Das US-Außenministerium hat den Verkauf von Waffen im Wert von geschätzt 825 Millionen US-Dollar (etwa 710 Millionen Euro) an die Ukraine genehmigt. Es gehe um Raketen mit größerer Reichweite und dazugehörige Ausrüstung, die die Ukraine angefragt habe, teilte die zuständige Behörde Defense Security Cooperation in Washington mit. Der Kongress sei darüber informiert worden - w…
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Ukraine-Liveblog: ++ Erneut Tote nach russischem Angriff ++
Die Ukraine meldet zwei Tote nach erneuten russischen Angriffen in der zentralukrainischen Region Dnipropetrowsk. Das US-Außenministerium hat den Verkauf von Waffen an die Ukraine genehmigt.

Regression Language Models for Code
Yash Akhauri, Xingyou Song, Arissa Wongpanich, Bryan Lewandowski, Mohamed S. Abdelfattah
https://arxiv.org/abs/2509.26476 https://

Regression Language Models for Code
We study code-to-metric regression: predicting numeric outcomes of code executions, a challenging task due to the open-ended nature of programming languages. While prior methods have resorted to heavy and domain-specific feature engineering, we show that a single unified Regression Language Model (RLM) can simultaneously predict directly from text, (i) the memory footprint of code across multiple high-level languages such as Python and C++, (ii) the latency of Triton GPU kernels, and (iii) the …

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Seyed Amir Kasaei, Ali Aghayari, Arash Marioriyad, Niki Sepasian, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban
https://arxiv.org/abs/2509.21227

Evaluating the Evaluators: Metrics for Compositional Text-to-Image Generation
Text-image generation has advanced rapidly, but assessing whether outputs truly capture the objects, attributes, and relations described in prompts remains a central challenge. Evaluation in this space relies heavily on automated metrics, yet these are often adopted by convention or popularity rather than validated against human judgment. Because evaluation and reported progress in the field depend directly on these metrics, it is critical to understand how well they reflect human preferences. …