Tootfinder

It's not hyperbole to say that what we in the Fediverse are doing to build decentralized social media is important for the future of liberal democracy.
https://www.techdirt.com/2025/08/05/take-back-our-digital-infrastructure-to-save-democracy/

Justice Ketanji Brown Jackson is "breaking the fourth wall, speaking beyond the court,”
said Melissa Murray, a law professor at New York University.
💥“She is alarmed at what the court is doing and is sounding that in a different register,
one that is less concerned with the appearance of collegiality and more concerned with how the court appears to the public.”
Her slashing critiques sometimes seemed to test her colleagues’ patience,
culminating in an unchar…

Justice Ketanji Brown Jackson Makes Herself Heard, Prompting a Rebuke
In solo dissents this term, the justice accused the conservative majority of lawless bias. On the term’s last day, Justice Amy Coney Barrett fired back.

I maintain a heterogeneous MSP environment for backup which consists of a collection of sh scripts (they mostly run on FreeBSD) with (c) notes dating back to 2004, with 5 authors, 4 of whom are no longer my cow-orkers. As the unfortunate 5th, I am still doing tweaks to catch edge & corner cases >20y after the 1st author had the idea that rsync, shell, mt, & standard POSIX tools could be assembled into a decent free backup world.
Use Python. Or Go. Or even Perl.

Dual-disentangle Framework for Diversified Sequential Recommendation
Haoran Zhang, Jingtong Liu, Jiangzhou Deng, Junpeng Guo
https://arxiv.org/abs/2508.03172 https://

Dual-disentangle Framework for Diversified Sequential Recommendation
Sequential recommendation predicts user preferences over time and has achieved remarkable success. However, the growing length of user interaction sequences and the complex entanglement of evolving user interests and intentions introduce significant challenges to diversity. To address these, we propose a model-agnostic Dual-disentangle framework for Diversified Sequential Recommendation (DDSRec). The framework refines user interest and intention modeling by adopting disentangling perspectives i…

#FuckEricAdams so so much. And fuck Hochul for not removing him. #BikeNYC
https://hellgateny…

Homotopy Type of the Space of Fibrations of the Three-sphere by Simple Closed Curves
Dennis Deturck, Ziqi Fang, Herman Gluck, Leandro Lichtenfelz, Mona Merling, Yi Wang, Jingye Yang
https://arxiv.org/abs/2508.01185

Homotopy Type of the Space of Fibrations of the Three-sphere by Simple Closed Curves
We show that the moduli space of all smooth fibrations of a three-sphere by simple closed curves has the homotopy type of a disjoint union of a pair of two-spheres if the fibers are oriented, and of a pair of real projective planes if unoriented, the same as for its finite-dimensional subspace of Hopf fibrations by parallel great circles. This moduli space is the quotient of the diffeomorphism group of the three-sphere (a Fréchet Lie group) by its subgroup of automorphisms of the Hopf fibratio…

Happy Pride! Everyone deserves dignity and respect at every stage of their life - including end of life. Help your loved ones and community celebrate you properly and appropriately by doing all your advance planning now -just think of how hard you'll party when it's done 🎉🌈
Got questions? I'm here to help and I am an ally and safe space for everyone in the LGBTIQA community and the kink community.

Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
Noor Nashid, Daniel Ding, Keheliya Gallaba, Ahmed E. Hassan, Ali Mesbah
https://arxiv.org/abs/2506.04418

Characterizing Multi-Hunk Patches: Divergence, Proximity, and LLM Repair Challenges
Multi-hunk bugs, where fixes span disjoint regions of code, are common in practice, yet remain underrepresented in automated repair. Existing techniques and benchmarks pre-dominantly target single-hunk scenarios, overlooking the added complexity of coordinating semantically related changes across the codebase. In this work, we characterize HUNK4J, a dataset of multi-hunk patches derived from 372 real-world defects. We propose hunk divergence, a metric that quantifies the variation among edits i…

A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
Nguyen Chi Long, Trinh Van Chien, Ta Hai Tung, Van Son Nguyen, Trong-Minh Hoang, Nguyen Ngoc Hai Dang
https://arxiv.org/abs/2506.02458

A Novel Deep Reinforcement Learning Method for Computation Offloading in Multi-User Mobile Edge Computing with Decentralization
Mobile edge computing (MEC) allows appliances to offload workloads to neighboring MEC servers that have the potential for computation-intensive tasks with limited computational capabilities. This paper studied how deep reinforcement learning (DRL) algorithms are used in an MEC system to find feasible decentralized dynamic computation offloading strategies, which leads to the construction of an extensible MEC system that operates effectively with finite feedback. Even though the Deep Determinist…

Transient dynamics of associative memory models
David G. Clark
https://arxiv.org/abs/2506.05303 https://arxiv.org/pdf/2506.05303

Transient dynamics of associative memory models
Associative memory models such as the Hopfield network and its dense generalizations with higher-order interactions exhibit a "blackout catastrophe"--a discontinuous transition where stable memory states abruptly vanish when the number of stored patterns exceeds a critical capacity. This transition is often interpreted as rendering networks unusable beyond capacity limits. We argue that this interpretation is largely an artifact of the equilibrium perspective. We derive dynamical mean-field equ…