Tootfinder

Florida sheriff warns protesters ahead of nationwide rallies: 'We will kill you dead' (Madeline Sherratt/The Independent)
https://www.independent.co.uk/news/world/americas/us-politics/florida-sheriff-warning-protestors-we-will-kill-you-b2769410.html
http://www.memeorandum.com/250613/p77#a250613p77

Sometimes you look at a graph and think that a particular value seems a bit odd. Then you look at the other numbers and they seem off, too. At that point, you realise that the graph is not intended to clarify, but to obscure. On German #EV charging prices, Quartets and diesel.

Sometimes you look at a graph and think that a particular value seems a… | Jaap Burger
Sometimes you look at a graph and think that a particular value seems a bit odd. Then you look at the other numbers and they seem off, too. At that point, you realise that the graph is not intended to clarify, but to obscure. Thank you, Felix Hamer, for drawing attention to this recent slide from BDEW Bundesverband der Energie- und Wasserwirtschaft e.V. The title suggests that EV charging would only cost the same as filling up a diesel or petrol car for the same distance in an 'Extremszenario…

I realize the interest for this on acitivity pub will be small, but if you are in algorand ecosystem and like #f1, this could be of interest to you: https://www.alphaarcade.com/market/formula

alpha arcade | prediction market on algorand 🌶️
alpha arcade is a decentralized prediction marketplace built on the Algorand blockchain.

This might also explain why #OpenAI pushed ChatGPT to market before it was worth touching. If you can’t afford testing at scale, why not do a huge free public release so that you can call the last 80% of the dev effort “product support" which should be fully expensible.
NOTE: I AM NOT A TAX EXPERT AND THE ABOVE COULD BE ABSURD.

Wazuh the maker of the unified #XDR and #SIEM protection for endpoints
and cloud workloads has technical and non-technical #remote roles open.

Careers | Wazuh
Would you like to be part of our team? If you would like to work on an open source project, Wazuh is the right place for you.

SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19
Szabolcs M\'esz\'aros, Paula Jofr\'e, Jennifer A. Johnson, Jonathan C. Bird, Andrew R. Casey, Katia Cunha, Nathan De Lee, Peter Frinchaboy, Guillaume Guiglion, Viola Heged\H{u}s, Alex P. Ji, Juna A. Kollmeier, Melissa K. Ness, Jonah Otto, Marc H. Pinsonneault, Alexandre Roman-Lopes, Amaya Sinha, Ying-Yi Song, Guy S. Stringfellow, Keivan G. Stassun, Jamie Tayar, Andrew Tkachenko…

SDSS-V Milky Way Mapper (MWM): ASPCAP Stellar Parameters and Abundances in SDSS-V Data Release 19
The goal of this paper is to describe the science verification of Milky Way Mapper (MWM) ASPCAP data products published in Data Release 19 (DR19) of the fifth phase of the Sloan Digital Sky Survey (SDSS-V). We compare MWM ASPCAP atmospheric parameters T$_{\rm eff}$, log g, 24 abundances of 21 elements (carbon, nitrogen, and oxygen have multiple sources for deriving their abundance values) and their uncertainties determined from APOGEE spectrograph spectra with those of the literature and evalua…

This https://arxiv.org/abs/2502.11351 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Review of the QCD sum rules for exotic states
We review the exotic states, such as the $X$, $Y$, $Z$, $T$ and $P$ states, and present their possible assignments based on the QCD sum rules. We present many predictions which can be confronted to the experimental data in the future to diagnose the exotic states. Furthermore, we also mention other theoretical methods.

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
Kuo Yang, Xingjie Yang, Linhui Yu, Qing Xu, Yan Fang, Xu Wang, Zhengyang Zhou, Yang Wang
https://arxiv.org/abs/2506.08507

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
Large Language Model (LLM)-driven Multi-agent systems (Mas) have recently emerged as a powerful paradigm for tackling complex real-world tasks. However, existing Mas construction methods typically rely on manually crafted interaction mechanisms or heuristic rules, introducing human biases and constraining the autonomous ability. Even with recent advances in adaptive Mas construction, existing systems largely remain within the paradigm of semi-autonomous patterns. In this work, we propose MasHos…