Tootfinder

Google plans to start using StopNCII's hashes to proactively identify nonconsensual images in search results and remove them (Terrence O'Brien/The Verge)
https://www.theverge.com/news/780852/google-stopncii-nonconsensual-intimate-imagery-has…

Google will use hashes to find and remove nonconsensual intimate imagery from Search
Google is partnering with StopNCII to combat nonconsensual images, but the company still lags behind much of the industry.

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Naomi Cowan:
🎵 Up To Di Time
#NaomiCowan
https://naomicowan.bandcamp.com/track/up-to-di-time
https://open.spotify.com/track/5jgdzfMVKXp8Po0QTWuKbC

"Wenn man die deutsche Nationalgeschichte auf ein Drama kultureller Einsamkeit zuspitzen wollte, dann wären Abahachi und Ranger ein Endpunkt." (FAZ, 2025)
Damit ist Bully endgültig in der Hochkultur angekommen. Oder die Hochkultur bei Bully, man weiß es nicht genau.

„Das Kanu des Manitu“: Schöner deutscher Nonsens?
Michael Bully Herbigs Film „Das Kanu des Manitu“ ist nicht bloß die Fortsetzung eines Riesenerfolgs: Herbig möchte jene Probleme beheben, die ihm damals nicht bewusst waren.

Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
Jingfan Xia, Zhenwei Lin, Qi Deng
https://arxiv.org/abs/2508.13496 https://

Revisiting Randomized Smoothing: Nonsmooth Nonconvex Optimization Beyond Global Lipschitz Continuity
Randomized smoothing is a widely adopted technique for optimizing nonsmooth objective functions. However, its efficiency analysis typically relies on global Lipschitz continuity, a condition rarely met in practical applications. To address this limitation, we introduce a new subgradient growth condition that naturally encompasses a wide range of locally Lipschitz functions, with the classical global Lipschitz function as a special case. Under this milder condition, we prove that randomized smoo…

Good to see at least some politicians realizing that you need to provide solutions that the voters need, not policies that the big donors like, the policies shaped by years of mindless repetition of Milton Friedman's failed economic hypotheses, policies based on "everyone knows - it's common sense" rather than actually looking at what works and what doesn't.
(And Friedman's nonsense has been a mantra since the 1970s, so everyone has heard the nonsense pre…

Good to see at least some politicians realizing that you need to provide solutions that the voters need, not policies that the big donors like, the policies shaped by years of mindless repetition of Milton Friedman's failed economic hypotheses, policies based on "everyone knows - it's common sense" rather than actually looking at what works and what doesn't.
(And Friedman's nonsense has been a mantra since the 1970s, so everyone has heard the nonsense pre…

A Review of Statistical Methods for Handling Nonignorable Missing Data using Instrument Approach
Yujie Zhao
https://arxiv.org/abs/2509.14520 https://arxiv.…

A Review of Statistical Methods for Handling Nonignorable Missing Data using Instrument Approach
Nonignorable missing data, where the probability of missingness depends on unobserved values, presents a significant challenge in statistical analysis. Traditional methods often rely on strong parametric assumptions that are difficult to verify and may lead to biased estimates if misspecified. Recent advances have introduced the concept of a nonresponse instrument or shadow variable as a powerful tool to enhance model identifiability without requiring full parametric specification. This paper p…

Users have uploaded 5,000 AI models, previously banned from Civitai for generating nonconsensual sexual content of real people, to Hugging Face (Emanuel Maiberg/404 Media)
https://www.404media.co/hugging-face-is-hosting-5-000-nonconsensual-ai-mod…

Hugging Face Is Hosting 5,000 Nonconsensual AI Models of Real People
Users have reuploaded 5,000 models used to generate nonconsensual sexual content of real people to Hugging Face after they were banned from Civitai.

Simple linesearch-free first-order methods for nonconvex optimization
Shotaro Yagishita, Masaru Ito
https://arxiv.org/abs/2509.14670 https://arxiv.org/pdf/…

Simple linesearch-free first-order methods for nonconvex optimization
This paper presents an auto-conditioned proximal gradient method for nonconvex optimization. The method determines the stepsize using an estimation of local curvature and does not require any prior knowledge of problem parameters and any linesearch procedures. Its convergence analysis is carried out in a simple manner without assuming the convexity, unlike previous studies. We also provide convergence analysis in the presence of the Kurdyka--Łojasiewicz property, adaptivity to the weak smoothn…

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Katherine R. Courtright, Scott D. Halpern, Michael O. Harhay, Dylan S. Small, Fan Li
https://arxiv.org/abs/2509.14598

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
While palliative care is increasingly commonly delivered to hospitalized patients with serious illnesses, few studies have estimated its causal effects. Courtright et al. (2016) adopted a cluster-randomized stepped-wedge design to assess the effect of palliative care on a patient-centered outcome. The randomized intervention was a nudge to administer palliative care but did not guarantee receipt of palliative care, resulting in noncompliance (compliance rate ~30%). A subsequent analysis using m…