Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@raiders@darktundra.xyz
2025-10-09 04:58:54

WR Michael Pittman moves up in Colts' record book after win v. Raiders coltswire.usatoday.com/story/s

WR Michael Pittman moves up in Colts' record book after win v. Raiders
WR Michael Pittman moved up in one category within the Colts' record books after Sunday's win over the Raiders.

@dawid@social.craftknight.com
2025-11-07 14:45:12
@… Ten kod może zostać skradziony, zostaniesz powiadomiony o płatności na tę samą kwotę i zaakceptujesz, bo nie zawsze miejsce płacenia się pokrywa z nazwą strony. Sama metoda kradzieży danych jest dokładnie taka sama.

Przy karcie masz to samo zabezpieczenie - 3D Secure do dodatkowego potwierdzenia, ale dzięki procedurze chargeback masz ja…
@arXiv_csRO_bot@mastoxiv.page
2025-10-07 11:14:22

WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding
Akhil Padmanabha, Jessie Yuan, Tanisha Mehta, Rajat Kumar Jenamani, Eric Hu, Victoria de Le\'on, Anthony Wertz, Janavi Gupta, Ben Dodson, Yunting Yan, Carmel Majidi, Tapomayukh Bhattacharjee, Zackory Erickson
arxiv.org/abs/2510.03910

WAFFLE: A Wearable Approach to Bite Timing Estimation in Robot-Assisted Feeding
Millions of people around the world need assistance with feeding. Robotic feeding systems offer the potential to enhance autonomy and quality of life for individuals with impairments and reduce caregiver workload. However, their widespread adoption has been limited by technical challenges such as estimating bite timing, the appropriate moment for the robot to transfer food to a user's mouth. In this work, we introduce WAFFLE: Wearable Approach For Feeding with LEarned bite timing, a system that…

@arXiv_csSE_bot@mastoxiv.page
2025-10-08 09:05:19

What Types of Code Review Comments Do Developers Most Frequently Resolve?
Saul Goldman, Hong Yi Lin, Jirat Pasuksmit, Patanamon Thongtanunam, Kla Tantithamthavorn, Zhe Wang, Ray Zhang, Ali Behnaz, Fan Jiang, Michael Siers, Ryan Jiang, Mike Buller, Minwoo Jeong, Ming Wu
arxiv.org/abs/2510.05450

What Types of Code Review Comments Do Developers Most Frequently Resolve?
Large language model (LLM)-powered code review automation tools have been introduced to generate code review comments. However, not all generated comments will drive code changes. Understanding what types of generated review comments are likely to trigger code changes is crucial for identifying those that are actionable. In this paper, we set out to investigate (1) the types of review comments written by humans and LLMs, and (2) the types of generated comments that are most frequently resolved …

@michabbb@social.vivaldi.net
2025-10-03 18:54:17

🚫 Docker Desktop unsupported, #Podman unsupported, distributions emulating Docker through Podman socket unsupported, rootless containerization solutions currently unsupported
🛠️ Built with #NodeJS and #Go

@lil5@social.linux.pizza
2025-11-29 15:02:32

lil5/lazypodman: The lazier way to manage everything podman
I forked lazydocker and made lazypodman
#podman

GitHub - lil5/lazypodman: The lazier way to manage everything podman
The lazier way to manage everything podman. Contribute to lil5/lazypodman development by creating an account on GitHub.

@arXiv_csCL_bot@mastoxiv.page
2025-10-06 10:15:09

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
Yubo Li, Ramayya Krishnan, Rema Padman
arxiv.org/abs/2510.02712

Time-To-Inconsistency: A Survival Analysis of Large Language Model Robustness to Adversarial Attacks
Large Language Models (LLMs) have revolutionized conversational AI, yet their robustness in extended multi-turn dialogues remains poorly understood. Existing evaluation frameworks focus on static benchmarks and single-turn assessments, failing to capture the temporal dynamics of conversational degradation that characterize real-world interactions. In this work, we present the first comprehensive survival analysis of conversational AI robustness, analyzing 36,951 conversation turns across 9 stat…

@arXiv_csLG_bot@mastoxiv.page
2025-09-30 14:35:31

Putnam-like dataset summary: LLMs as mathematical competition contestants
Bartosz Bieganowski, Daniel Strzelecki, Robert Skiba, Mateusz Topolewski
arxiv.org/abs/2509.24827

Putnam-like dataset summary: LLMs as mathematical competition contestants
In this paper we summarize the results of the Putnam-like benchmark published by Google DeepMind. This dataset consists of 96 original problems in the spirit of the Putnam Competition and 576 solutions of LLMs. We analyse the performance of models on this set of problems to verify their ability to solve problems from mathematical contests.

@raiders@darktundra.xyz
2025-10-02 22:48:46

Indianapolis Colts injury report: Will Michael Pittman Jr. play vs. Las Vegas Raiders in NFL Week 5? indystar.com/story/sports/nfl/

Indianapolis Colts injury report: Will Michael Pittman Jr. play vs. Las Vegas Raiders in NFL Week 5?
Michael Pittman Jr. leads the Indianapolis Colts in targets and catches. Here's where their receiving depth stands.

@raiders@darktundra.xyz
2025-10-02 21:53:39

The Colts Show Mailbag: Bouncing back vs. Raiders, Michael Pittman Jr.'s touchdown total, what's next for Adonai Mitchell colts.com/news/the-colts-show-

The Colts Show Mailbag: Bouncing back vs. Raiders, Michael Pittman Jr.'s touchdown total, what's next for Adonai Mitchell
The Colts Show Mailbag returns for Week 5 as JJ Stankevitz answers listener, viewer and reader questions on both this week's podcast and Colts.com.