Tootfinder

YouTube is like heroin because it pulls you in, hooks you, and slowly drains you. It is designed to be addictive and destructive, and that is exactly why it feels so hard to step away from it.
And yes, I know the excuse, maybe your favorite dealer has not set up shop on PeerTube. But that does not change the truth of the comparison.
PeerTube is like weed, it grows more naturally, it is gentler on you, and it still gives you a high without tearing apart your health and your lif…

Read this thread all the way through and rate your enthusiasm for it.
https://mastodon.social/@pid_eins/115025535193319606

Stumbled across my old NeXT "floptical" disc while looking through old boxes at the office! I've been wondering where this had gone for a few decades now: I have archives of most of my files from 1992 (when we founded Omni) through the present, but this was where I had archived my active files for several of the years prior.
Now to see if any of our NeXT cubes still has a working magneto-optical drive that can read this data…

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
He Wang, Liang Zeng
https://arxiv.org/abs/2508.03661

Automated Algorithmic Discovery for Gravitational-Wave Detection Guided by LLM-Informed Evolutionary Monte Carlo Tree Search
Computational scientific discovery increasingly relies on algorithms to process complex data and identify meaningful patterns - yet faces persistent challenges in gravitational-wave signal identification. While existing algorithmic approaches like matched filtering (MF) and deep neural networks (DNNs) have achieved partial success, their limitations directly stem from fundamental limitations: MF's excessive computational demands arise from its reliance on predefined theoretical waveform templat…

#kde kmymoney also started to eat data. If Devs turn something from reliable and safe to unreliable and unsafe, the real question of liability comes into play. How can such a thing end in distribution?
Maybe we need to re-organize open source to have a reliable portfolio of applications, a kind of reliable #kde fr…

$NavA^3$: Understanding Any Instruction, Navigating Anywhere, Finding Anything
Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang, Haoxiang Fu, Xinyu Zheng, Pengwei Wang, Zhongyuan Wang, Wenbo Ding, Shanghang Zhang
https://arxiv.org/abs/2508.04598

$NavA^3$: Understanding Any Instruction, Navigating Anywhere, Finding Anything
Embodied navigation is a fundamental capability of embodied intelligence, enabling robots to move and interact within physical environments. However, existing navigation tasks primarily focus on predefined object navigation or instruction following, which significantly differs from human needs in real-world scenarios involving complex, open-ended scenes. To bridge this gap, we introduce a challenging long-horizon navigation task that requires understanding high-level human instructions and perf…

Multi-objective Portfolio Optimization Via Gradient Descent
Christian Oliva, Pedro R. Ventura, Luis F. Lago-Fern\'andez
https://arxiv.org/abs/2507.16717 https://

Multi-objective Portfolio Optimization Via Gradient Descent
Traditional approaches to portfolio optimization, often rooted in Modern Portfolio Theory and solved via quadratic programming or evolutionary algorithms, struggle with scalability or flexibility, especially in scenarios involving complex constraints, large datasets and/or multiple conflicting objectives. To address these challenges, we introduce a benchmark framework for multi-objective portfolio optimization (MPO) using gradient descent with automatic differentiation. Our method supports any …