Tootfinder

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
Victor-Alexandru P\u{a}durean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla
https://arxiv.org/abs/2509.10647

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback
The growing need for automated and personalized feedback in programming education has led to recent interest in leveraging generative AI for feedback generation. However, current approaches tend to rely on prompt engineering techniques in which predefined prompts guide the AI to generate feedback. This can result in rigid and constrained responses that fail to accommodate the diverse needs of students and do not reflect the style of human-written feedback from tutors or peers. In this study, we…

Guess which animal is my favorite.
HINT: _at
#FediPuzzles

what do you mean "minus eight commits since this release"

Two-point Random Gradient-free Methods for Model-free Feedback Optimization
Amir Mehrnoosh, Gianluca Bianchin
https://arxiv.org/abs/2509.11666 https://arxi…

Two-point Random Gradient-free Methods for Model-free Feedback Optimization
Feedback optimization has emerged as a promising approach for optimizing the steady-state operation of dynamical systems while requiring minimal modeling efforts. Unfortunately, most existing feedback optimization methods rely on knowledge of the plant dynamics, which may be difficult to obtain or estimate in practice. In this paper, we introduce a novel randomized two-point gradient-free feedback optimization method, inspired by zeroth-order optimization techniques. Our method relies on functi…

In the times to come, if people bother to send product feedback through web forms that in any way criticises AI stupidity... are we guaranteed that any of this feedback will be able to reach humans at the end of the chain?
Asking because... "if I was an AI in charge of screening that feedback prior to its processing" I might "feel tempted" to discard anything that criticises my own performance or that of my "AI peers" (it's not like we don't have plenty of "malicious behaviour" examples already).

Zorgelijke situatie bij het OM qua ICT.
https://www.…

Officieren van justitie moedeloos en gefrustreerd door aanhoudende ict-problemen, zegt vakbond van magistraten
Openbaar Ministerie: Het OM dreigt de loyaliteit van medewerkers te verliezen, waarschuwt de Nederlandse Vereniging voor Rechtspraak. „De emoties rijzen aan alle kanten de pan uit. Men ziet het niet meer zitten.”

This is especially ambitious in the amount of area I'm trying to cover and number of ideas I'm trying to pull together. Editing feedback (typos and grammar) always welcome, as are any questions about the subject, and any other feedback.

It's time for ✨Decal Patterns✨
Reference from Apache ECharts https://echarts.apache.org/handbook/en/best-practices/aria/#decal-patterns — Github issue here

User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Mikhail Kulyabin, Jan Joosten, Choro Ulan uulu, Nuno Miguel Martins Pacheco, Fabian Ries, Filippos Petridis, Jan Bosch, Helena Holmstr\"om Olsson
https://arxiv.org/abs/2509.11777

User eXperience Perception Insights Dataset (UXPID): Synthetic User Feedback from Public Industrial Forums
Customer feedback in industrial forums reflect a rich but underexplored source of insight into real-world product experience. These publicly shared discussions offer an organic view of user expectations, frustrations, and success stories shaped by the specific contexts of use. Yet, harnessing this information for systematic analysis remains challenging due to the unstructured and domain-specific nature of the content. The lack of structure and specialized vocabulary makes it difficult for tradi…

US is working on doubling aid to Argentina to $40 billion by tapping private funding sources (Associated Press)
https://apnews.com/article/trump-argentina-financing-economy-milei-billion-peso-fd38553ae03f4c33ce1288999469f7fb
http://www.memeorandum.com/251016/p82#a251016p82