@…
Point taken. I was thinking of processes that started already in 2020 and are still ongoing, making a different point.
@…
Point taken. I was thinking of processes that started already in 2020 and are still ongoing, making a different point.
Nuclear power has no special virtues that could possibly justify overpaying for energy like this. Instead of asking—as so many do—how to make nuclear cheaper and faster after decades of real-world proof that it’s nigh-impossible to do (outside of China), we should be asking—as virtually no one does—why anyone even wants to build them.
My best guess:
Some day in the future - some glorious day in the future - I hope that the maga government - from El Cheato through Miller, Noem, Vought, etc - will face tribunals.
They will, of course, demand our full panoply of due processes. And they will claim immunity as merely carrying out government business and powers.
Do they deserve those due processes or that we give credit to those claims of immunity?
The lawyer in me says "YES!!". The person in me says "Hold o…
The illusion that Europe had better democratic processes and laws was shattered by their unequivocal support of the genocide in Palestine.
I used to nod vigorously when a righteous European politician made progressive statements. But it turns out, it was just the tool they reached out for to advance their crass goals.
An inch more tasteful than Trump, but Trumpian at their core.
BOFH excuse #443:
Zombie processes detected, machine is haunted.
I'm building webkit-gtk right now. It's one of these messy packages where a few source files need a lot of memory to compile, and ninja can randomly order jobs so that all of them suddenly start compiling simultaneously. So to keep things going smoothly without OOM-ing, I've been dynamically adjusting the available job count via steve the #jobserver.
While doing that, I've noticed that ninja isn't taking new jobs immediately after I increased the job count. So I've started debugging steve, and couldn't find out anything wrong with it. Finally, I've looked into ninja and realized how lazy their code is.
So, there are two main approaches to acquiring job tokens. Either you do blocking reads, and therefore wait for a token to become available, or you use polling to get noticed when it becomes available. Ninja instead does non-blocking reads, and if there are no more tokens available… it waits till one of its own jobs finish.
This roughly means that as other processes release tokens, ninja won't take them until one of its own jobs finish. And if ninja didn't manage to acquire any job tokens to begin with, it is just running a single process via implicit slot, and that process finishing provides it with the only chance to acquire additional tokens. So realistically speaking, as long as there are other build jobs running in parallel, ninja is going to need to be incredibly lucky to ever get a job token, since all other processes will grab the available tokens immediately.
This isn't something that steve can fix.
#Gentoo #NinjaBuild
Efforts to repress climate and environmental protest are growing worldwide
through a combination of new legislation,
novel uses of existing legal processes,
police actions,
vilification of activists,
and both violence and killings.
Acts of repression are likely to expand and intensify
as authoritarian regimes roll back climate policies,
with a particular focus on Trump’s actions in office
criminalizing protest,
increasing police po…
Lagos-founded payments startup Moniepoint raised $90M at a $1B valuation, after raising $110M in October 2024, and says it processes $250B yearly transactions (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-21/visa-…
Universal behaviors of the multi-time correlation functions of random processes with renewal: the step noise case (the random velocity of a L\'evy walk)
Marco Bianucci, Mauro Bologna, Daniele Lagomarsino-Oneto, Riccardo Mannella
https://arxiv.org/abs/2510.11747
Fresh #Debian installation:
13 processes
uses 120 MB RAM
1.7 GB used disk
I find this very impressive
:debian:
#Decarbonization #Greenwashing This #Hydrogen has no Color
Peregrine Hydrogen has an unusual idea for making clean Hydrogen, one that it says fits into existing industrial processes. One of the wor…
A simple proof of the coincidence of observational and labeled equivalence of processes in applied pi-calculus
Andrew M. Mironov
https://arxiv.org/abs/2510.07258 https://…
TIL Hugo has had built-in support for Tailwind CSS 4 for a while!
I made this my Sunday project; lmk about breakage. ;)
https://gohugo.io/functions/css/tailwindcss/
Electron-electron scattering processes in quantum wells in a quantizing magnetic field: II. Scattering in the case of two subbands
M. P. Telenkov, Yu. A. Mityagin
https://arxiv.org/abs/2510.09787
Using simultaneous mass accretion and external photoevaporation rates for d203-504 to constrain disc evolution processes
Gavin A. L. Coleman, Thomas J. Haworth, Ilane Schroetter, Olivier Bern\'e
https://arxiv.org/abs/2510.12535
Wow. I've dealt with various toxic personalities in software development, but a good portion of the time those toxic personalities were at least extremely knowledgeable in their (often, very limited) domain.
AI, however, seems to be enabling toxic personalities *who are completely clueless*. Impressive!
https://github…
#Blakes7 Series A, Episode 05 - The Web
BLAKE: I've never seen anything like it before.
NOVARA: Our mission has specialized in tissue creation and regenerative processes.
GEELA: Among other things.
[They all sit down.]
https://<…
These AWS & Cloudflare mega-outages are honestly embarrassing as an industry. Eugh. What are we doing???
We have so many tools & processes for ensuring reliability, but somehow two vendors can each single-handledly wipe everything out anytime.
A new idea about how to make clean Hydrogen that fits into an existing industry? ✨🌱💧
Clean Hydrogen🌱💧 will be more difficult than we might've hoped, but we still need it. Just decarbonizing the fossil🦖 Hydrogen industry is a massive undertaking. New ideas are welcome.
I recently learned about Peregrine Hydrogen. They make Hydrogen, but also something else: Sulfuric Acid🧪. They need ~½ the electricity⚡ compared to conventional electrolysis by utilizing a 2nd input.
🧵
Seeing the discussion, I’d like to clarify:
This post is not a statement on #nuclear energy. I was responding to the specific article that I shared, where @… reported that tech companies are “using AI to speed up the construction of new nuclear power plants.”
My point is - cutting corners and trying to “speed up” the construction or operation of nuclear power plants can have CATASTROPHIC effects.
Chernobyl was a disaster of mismanagement, cost cutting, and insufficient safety procedures.
I do not trust AI, a technology that is notoriously probabilistic and inconsistent in outputs (and with famously high error rates) to be reliable and competent for a use case where the risks are this high.
I also do not support the mindset of wanting to “speed up” ANY regulatory processes and safety checks when it comes to constructing nuclear power infrastructure.
Licensing is not a “bottleneck” here. It’s a safety prerogative.
(Thanks @… for bringing this to my attention!)
Or could methods from the environmental sciences maybe be adapted to the dynamics of digital communities/commons, to better understand these processes?
And, just as importantly (if not more so), could they help us to take better care of our digital spaces and maintain them as vibrant ecosystems that continue thriving?
Again, if that sounds of interest, e.g. as someone who maintains or contributes to communities, or as a social or environmental scientist, please get in touch with us!
🧵 5/5
Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces https://jnanobiotechnology.biomedcentral.com/articles/10.1186/s12951-025-03573-x
Of course, in Tron:Ares the villain uses systemctl to restart the mighty AI.
It's funny how you spend a bit of time looking at silicon and quickly develop a sixth sense for recognizing processes and nodes.
Besides the obvious tells for specific foundries (like TSMC and Samsung fiducials) I can recognize TSMC 350 nm, Microchip 160K, Atmel's 350nm node, and UMC 180 at a glance.
Probably more, but those are some of the most distinctive looking ones that i've seen a *lot* of chips made on. Especially UMC 180.
Restoring detailed balance in non-Hermitian Markov processes
Tim Van Wesemael, Gilberto Nakamura, Jan Baetens, Odemir M. Bruno, Alexandre S. Martinez, Christophe Deroulers
https://arxiv.org/abs/2510.09467
Information-theoretic analysis of temporal dependence in discrete stochastic processes: Application to precipitation predictability
Juan De Gregorio, David S\'anchez, Ra\'ul Toral
https://arxiv.org/abs/2510.11276
@… and
@… might like this.
I think this is interesting, from "Frontiers in Neuroscience" mag. New "HYPOTHESIS AND THEORY article" by Joachim Keppler, head of Department of Consciousness …
Emergence of multiple relaxation processes during low to high density transition in Au49Cu26.9Si16.3Ag5.5Pd2.3 metallic glass
Alberto Ronca, Antoine Cornet, Jie Shen, Thierry Deschamps, Eloi Pineda, Yuriy Chushkin, Federico Zontone, Mohamed Mezouar, Isabella Gallino, Gaston Garbarino, Beatrice Ruta
https://arxiv.org/abs/2510.06409
PDRs4All XVII: Formation and excitation of HD in photodissociation regions. Application to the Orion Bar
Marion Zannese, Jacques Le Bourlot, Evelyne Roueff, Emeric Bron, Franck Le Petit, Dries Van De Putte, Maryvonne Gerin, Naslim Neelamkodan, Javier R. Goicoechea, John Black, Ryan Chown, Ameek Sidhu, Emilie Habart, Els Peeters, Olivier Bern\'e
https://
i have this really problematic hobby where I look at protocols and processes and ask why they are that way.
On the Design and Evaluation of Human-centered Explainable AI Systems: A Systematic Review and Taxonomy
Aline Mangold, Juliane Zietz, Susanne Weinhold, Sebastian Pannasch
https://arxiv.org/abs/2510.12201
I’ve been testing a theory: many people who are high on #AI and #LLMs are just new to automation and don’t realize you can automate processes with simple programming, if/then conditions, and API calls with zero AI involved.
So far it’s been working!
Whenever I’ve been asked to make an AI flow or find a way to implement AI in our work with a client, I’ve returned back with an automation flow that uses 0 AI.
Things like “when a new document is added here, add a link to it in this spreadsheet and then create a task in our project management software assigned to X with label Y”.
And the people who were frothing at the mouth at how I must change my mind on AI have (so far) all responded with resounding enthusiasm and excitement.
They think it’s the same thing. They just don’t understand how much automation is possible without any generative tools.
Low-Temperature Skyrmions and Spiral Reorientation Processes in Chiral Magnets with Cubic Anisotropy: Guidelines for Bridging Theory and Experiment
A. O. Leonov, G. G\"odecke, J. Grefe, S. S\"ullow, D. Menzel
https://arxiv.org/abs/2510.07640
#Steve the #Jobserver has undergone a major rewrite over the last week. It's now implemented using CUSE, the #FUSE API for character devices. It is using pidfd to track processes acquiring job tokens, and automatically reclaims them if processes die without returning them, preventing dead processes from effectively locking the system jobserver.
The code's still a bit ugly — it's a C-changed-midway-to-C , with libevent for event loops and (still) FUSE's ugly argument parsing.
If someone wants to play with it, the live ebuild is available in #Gentoo as dev-build/steve.
https://gitweb.gentoo.org/proj/steve.git/
Flooded disused coalmines could be a significant source of energy and provide cheap heat to thousands of homes, a new report argues.
Mine water geothermal heat (MWGH) systems use the water in flooded coalmines,
which is warmed by natural processes,
to supply low-carbon heat.
Heat exchangers and pumps recover the heat,
which is distributed via district heating networks to homes and buildings,
providing low-cost, long-term, stable energy.
Canada-based CoLab, which makes collaboration software for manufacturers, raised a $72M Series C led by Intrepid Growth Partners (Lucinda Shen/Axios)
https://www.axios.com/pro/all-deals/2025/11/10/manufacturing-software-colab-72-million
…
MEGATRON: Disentangling Physical Processes and Observational Bias in the Multi-Phase ISM of High-Redshift Galaxies
Nicholas Choustikov, Harley Katz, Alex J. Cameron, Aayush Saxena, Julien Devriendt, Adrianne Slyz, Martin P. Rey, Corentin Cadiou, Jeremy Blaizot, Taysun Kimm, Isaac Laseter, Kosei Matsumoto, Joki Rosdahl
https://arxiv.org/abs…
This is part of why I feel confident that I am in my last real job.
In 40 years of working, I've *never* gotten a job in IT/#InfoSec by applying for a publicly visible opening. I have had some interviews from *trying* to do it that way, but never made it to hiring. I think I may not mask or hype myself well enough. I suspect that this would be made worse by today's "AI" desolation.
I also stopped even trying to hide my professional cynicism some time ago...
Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
Nicholas H. Nelsen, Houman Owhadi, Andrew M. Stuart, Xianjin Yang, Zongren Zou
https://arxiv.org/abs/2510.05568
Beyond diagnostic-diagrams: A critical exploration on the classification of ionization processes
S. F. S\'anchez, C. Mu\~noz-Tu\~n\'on, J. S\'anchez Almeida, O. Gonz\'alez-Mart\'in, E. P\'erez
https://arxiv.org/abs/2510.07256
Sam Altman says ChatGPT has reached 800M weekly active users, 4M developers "have built with OpenAI", and OpenAI processes over 6B tokens per minute on its API (Rebecca Bellan/TechCrunch)
https://techcrunch.com/2025/10/06/sam-altman-says-…
Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
Yuri Calleo
https://arxiv.org/abs/2512.17696 https://arxiv.org/pdf/2512.17696 https://arxiv.org/html/2512.17696
arXiv:2512.17696v1 Announce Type: new
Abstract: The modeling of high-dimensional spatio-temporal processes presents a fundamental dichotomy between the probabilistic rigor of classical geostatistics and the flexible, high-capacity representations of deep learning. While Gaussian processes offer theoretical consistency and exact uncertainty quantification, their prohibitive computational scaling renders them impractical for massive sensor networks. Conversely, modern transformer architectures excel at sequence modeling but inherently lack a geometric inductive bias, treating spatial sensors as permutation-invariant tokens without a native understanding of distance. In this work, we propose a spatially-informed transformer, a hybrid architecture that injects a geostatistical inductive bias directly into the self-attention mechanism via a learnable covariance kernel. By formally decomposing the attention structure into a stationary physical prior and a non-stationary data-driven residual, we impose a soft topological constraint that favors spatially proximal interactions while retaining the capacity to model complex dynamics. We demonstrate the phenomenon of ``Deep Variography'', where the network successfully recovers the true spatial decay parameters of the underlying process end-to-end via backpropagation. Extensive experiments on synthetic Gaussian random fields and real-world traffic benchmarks confirm that our method outperforms state-of-the-art graph neural networks. Furthermore, rigorous statistical validation confirms that the proposed method delivers not only superior predictive accuracy but also well-calibrated probabilistic forecasts, effectively bridging the gap between physics-aware modeling and data-driven learning.
toXiv_bot_toot
Japan faces bottlenecks in data center construction due to labor shortages and more; DC Byte says Japan's capacity has tripled to 6.8 GW in the past five years (Tsubasa Suruga/Nikkei Asia)
https://asia.nikkei.com/business/techn
Towards Fast Coarse-graining and Equation Discovery with Foundation Inference Models
Manuel Hinz, Maximilian Mauel, Patrick Seifner, David Berghaus, Kostadin Cvejoski, Ramses J. Sanchez
https://arxiv.org/abs/2510.12618