Tootfinder

heise | "Donkey Kong Bananza" angespielt: Affengeil oder total Banane?
Nintendo bringt endlich einen neuen Plattformer heraus – aber ohne Mario. Wir haben ausprobiert, ob "Donkey Kong Bananza" ein Kaufgrund für die Switch 2 ist.

This morning 's #veganWeek post: breakfast was porridge (made with water soya milk) for kids toast with peanut butter, strawberries banana for me #VeganWeek
Am I an influencer now?
#vegan food I'm preparing for my family for the next few days.  It's really not hard. Today Nasi Goreng (or at least my version of it, with organic pea protein pieces, katsup manis, lots of spices and fresh vegetables...
https://fediscience.org/@Ruth_Mottram/115108323164701969
@… - "Veganism wasn’t meant to be like other food fads: it was intended to benefit not just the individual but society as a whole. Eating less meat would reduce greenhouse gas emissions and animal suffering. The evidence is clear. But right now we can’t be bothered "
Why the vegans lost https://on.ft.com/4mzHgFz

Artsen zonder Grenzen inventariseert zwaargewonden Gaza: relatief veel vrouwen en kinderen | de #Volkskrant
https://www.volkskrant.nl/buit…

Beautiful
Queen’s Bohemian Rhapsody Gets First Translation — Into Zulu :
https://www.npr.org/2025/08/30/nx-s1-5521906/queens-bohemianrhapsody-zulu-ndlovu-voice-choir

JD Vance on Republican megabill: ICE funding matters, 'everything else' is 'immaterial' (Steve Benen/MSNBC)
https://www.msnbc.com/rachel-maddow-show/maddowblog/jd-vance-republican-megabill-ice-funding-matters-everything-else-immat-rcna216181
http://www.memeorandum.com/250701/p38#a250701p38

Relative discrepancy of hypergraphs
Diep Luong-Le, Tuan Tran, Dilong Yang
https://arxiv.org/abs/2506.23264 https://arxiv.org/pdf/2506…

Relative discrepancy of hypergraphs
Given $k$-uniform hypergraphs $G$ and $H$ on $n$ vertices with densities $p$ and $q$, their relative discrepancy is defined as $\hbox{disc}(G,H)=\max\big||E(G')\cap E(H')|-pq\binom{n}{k}\big|$, where the maximum ranges over all pairs $G',H'$ with $G'\cong G$, $H'\cong H$, and $V(G')=V(H')$. Let $\hbox{bs}(k)$ denote the smallest integer $m \ge 2$ such that any collection of $m$ $k$-uniform hypergraphs on $n$ vertices with moderate densities contains a pair $G,H$ for which $\…

Krass mit welchem Affenzahn Victor Bosoni #tcrno11cap232 hier den Parcour 3 entlangheizt. Der Dotwatcher kann kaum folgen, obwohl er deutlich weniger Kilometer in den Beinen hat.
Quelle: TCR Facebook Gruppe
#TCRNo11

Kann man machen, auch wenn man statt weißen Kochweins zufällig nur Ingwerbier da hat (ahem), statt der Schalotten weiße Zwiebel und statt der weißen Bohnen steirische Käferbohnen. #nommention

White Bean Piccata Pasta With Broccoli Recipe (Gift Recipe)
The bright lemon-caper sauce for which chicken piccata is known plays equally well with other proteins, like swordfish, or creamy white beans, and forms a glossy, tangy sauce well suited to pasta. Throw broccoli — or any another quick-cooking vegetable, like asparagus, broccoli rabe or peas — into the pasta’s boiling water in the last few minutes, and you’ve effortlessly managed to squeeze a green into this vegetarian dinner.

Ultrafilters over Successor Cardinals and the Tukey Order
Tom Benhamou, Justin T. Moore, Luke Serafin
https://arxiv.org/abs/2507.22307 https://arxiv.org/pd…

Ultrafilters over Successor Cardinals and the Tukey Order
We study ultrafilters on regular uncountable cardinals, with a primary focus on $ω_1$, and particularly in relation to the Tukey order on directed sets. Results include the independence from ZFC of the assertion that every uniform ultrafilter over $ω_1$ is Tukey-equivalent to $[2^{\aleph_1}]^{<ω}$, and for each cardinal $κ$ of uncountable cofinality, a new construction of a uniform ultrafilter over $κ$ which extends the club filter and is Tukey-equivalent to $[2^κ]^{<ω}$. We also analyze…

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Xinyi Sheng, Dominik Baumann
https://arxiv.org/abs/2508.21443 https…

Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learning
Reinforcement learning (RL) algorithms typically optimize the expected cumulative reward, i.e., the expected value of the sum of scalar rewards an agent receives over the course of a trajectory. The expected value averages the performance over an infinite number of trajectories. However, when deploying the agent in the real world, this ensemble average may be uninformative for the performance of individual trajectories. Thus, in many applications, optimizing the long-term performance of individ…