Tootfinder

Introducing our new GÉANT Association Strategy 2026-2030: Powering Knowledge for Europe 🇪🇺
Built around three core goals: strengthening human networks, creating scalable digital services, and building financial sustainability.
And at its heart is a simple mission, to stay deeply relevant for our members and for Europe.
To mark this moment, we've also refreshed our visual identity — new logo, new website.
🔗 Read the full strategy and explore the new GÉANT:

Trump used his address to call out ABC and NBC
for not airing his live remarks,
claiming the networks declined to do so
“because they know how corrupt our system is and they don’t want to reveal it.”
He also repeated his frequent demand that the networks’ government-issued broadcast licenses be revoked.
“They and others in the media are part of a plot,”
the president said, offering no evidence for his claims.
In fact, ABC and NBC did carry Trump’s spe…

In Prime Time, Trump Criticizes Networks for Not Carrying His Speech
The president also called for ABC and NBC to lose their broadcast licenses, after complaining that the networks were not airing his remarks.

Logistics in the technical sense (part of supply chain management) is a subset of logistics in the vernacular sense ("the handling of the details of an operation"). You can explore this second and more general sense, and thereby build an understanding of the first and more technical sense, by iteratively asking the question, "how does one make that happen" and follow questions from there.
A big part of organizing is figuring out the (vernacular) logistics (and helping others figure it out). You want to organize a seed swap? Ok. How does one make that happen? Well, you need seeds, people, a place, and perhaps a time. How does one make that happen? You can forage seeds or you can buy seeds for a garden and swap extras. How do you get people to come? Well, figure out where you want people to come from and choose an accessible place. What's the easiest thing to do? Get people from your neighborhood. How does one make that happen? Well, maybe put up flyers. How does one make that happen? Well, print them on your printer if you have one, or at a library, then go post them up. Etc.
Keep asking questions until you either find a roadblock that you can't find a way around, or you find things you can do yourself (one of those things you can do yourself is asking friends to help).
If you practice the exercise of thinking about how things happen, you can start to find things that you can do yourself. You can start to understand what exists now, and you can imagine what's possible. By thinking about logistics, you can figure out how to replace things when they collapse or are dismantled. You can also identify things that can't easily be replaced, and try to figure out alternatives.
This practice is good for figuring out how to build, but it can also be a valuable practice for figuring out how to resist. Concentration camps and ethnic cleansing also require logistics. Mass displacement means moving people. How does one do that? People are generally going to be moved in planes or buses. How does one do that? Well, people get loaded on to planes or buses in specific places. Planes and buses need fuel. Planes are fueled at their airports, which may well be the same places where people are loaded on to them. There is a fuel depo and a fuel truck that makes flying people out of a specific place possible. How does the fuel get to that fuel depo? Well, that fuel is probably also delivered by truck. Someone drives those trucks. Someone fuels those planes. Someone clears the planes for takeoff. Someone fuels those busses. Someone drives those busses. And so on.
Logistics networks can be highly complex. The more complex the operation, the more possible points of failure and more possible points where pressure can be applied, where operations can be disrupted. Ethnic cleansing is a complicated operation. The logistics of disrupting complicated things tend to be much less complicated than the logistics of the complicated things themselves.
The Right has exploited this fact for a long time. Centralized social services are logistically complex. Public infrastructure is logistically complex. By destroying these things, they can loot public resources by privatizing the infrastructure and functionality.
But the things that support the Right are even more logistically complex. Oil, cars, AI data centers, internal paramilitary, these are extremely complicated and fragile. There are numerous pressure points, all of which can respond to numerous strategies.
If we want to win, we should reduce the influence of politics over the things we care about. We should focus on building distributed mutual aid networks that don't rely on state funding and aren't subject to the whims of politicians. This is also known as "dual power." That is, creating counter-institutions outside of the dominant political system. The Right already does this in the form of churches and corporations.
As we reduce our complexity, we can then press our complexity advantage against the things for which the Right *needs* the state: the apparatus of violence needed to maintain capital and enforce the dominant order.

Our planet’s soils contain enough of the subterranean fungi that sustain plant life and help regulate the climate to stretch from the Earth to the sun almost three-quarters of a billion times, a groundbreaking new study has found.
Arbuscular mycorrhizal fungi are networks of tubular cells called hyphae that sustain life on Earth by forming critical partnerships with more than 70% of plants.
The networks, which have been forming for about 475 million years, provide nutrients and w…

Oh, here it is (July 2018). It's nice that this report back didn't include any names or initials so I didn't need to sanitize it:
Meeting Notes:
Table-top exercise scenario topic was state and far-right repression.
Responses:
Strong networks require redundancy, so no one person is a social connection, skills, or resource gatekeeper. These people are often targeted by the state, and if they get burned out and leave, it also weakens and jeoprodizes groups.
Ways to strengthen our networks:
Mentoring/sharing responsibility. Creating a culture of mentorship and support so new people learn skills, take on responsibilities, and are introduced to other folks. Reducing burden on a few key people too.
Chaos Monkey exercise: ask central people to step back from communications/organizing to see what happens.
Regular check-ins! & Delegates check-in with new members they sign up
Ask well connected folks to introduce people to build social redundancy.
Gaming (D&D, board games, etc) committee could support a more fun, and socially robust network.
Practical safety tool:
Burner phone. Not everyone needs one, but good to have access to.
TO DO LIST:
Make regular announcements at each meeting for people to check-in with folks they know (especially those they haven’t heard from in awhile!)
Start google doc for disaster preparedness zine
Why you should prepare (ideological argument)
What people should have (the basics)
How to prepare
Frame as questions, so people can find the answer that best suits themselves.
Such as “what are you preparing for?”
Where do you spend most of your time? (home? Office? car?)
Make it as easy as possible for folks to get the basics (list locations for supplies, etc.)

from my link log —
RNG: flat datacenter networks at Amazon.
https://arxiv.org/abs/2604.15261
saved 2026-06-09 https://dotat.at/:/UUHIR.html

RNG: Flat Datacenter Networks at Scale
We design and deploy in production the first flat datacenter networks. Our design, called RNG, is based on quasi-random graphs. While the cost and fault-tolerance benefits of such topologies have been long known, their practical realization has been hampered by a lack of scalable routing and cabling approaches. RNG has a new distributed routing protocol that exploits the properties of random graphs to find a large number of edge disjoint paths between pairs of endpoints. It uses a novel passive…

🌟 Meet our new SIG on Campus Network as a Service (SIG-CNaaS) 🌟
Bringing together #NRENs exploring how campus networks can move from traditional, locally managed setups to service-oriented, automated infrastructures.
The group just held its first meeting and a BoF at #TNC26, and already brings tog…

Hate “The Algorithm?” RSS Is One of the Tools You’ve Been Looking For
RSS is one of the best examples we have of the open web, where we can design and customize how we experience the internet, not the other way around.
https://www.eff.org/deeplinks/2026/06/hate

Hate “The Algorithm?” RSS Is One of the Tools You’ve Been Looking For
Since at least the moment Facebook introduced (and apologized for) its News Feed, “the algorithm” has been shorthand for the ways the tech giants control what we see and when we see it. In the age of enshittification, there is a push to reclaim our feeds and networks. Good news: there’s a tool that’s been around for decades that can help wrangle many of your feeds into something manageable: Really Simple Syndication, more commonly known as RSS.

Maximizing Connectivity of Uplink RIS-Assisted UAV Networks
Mohammed Saif, Shahrokh Valaee
https://arxiv.org/abs/2606.11523 https://arxiv.org/pdf/2606.11523 https://arxiv.org/html/2606.11523
arXiv:2606.11523v1 Announce Type: new
Abstract: In this paper, we present a new approach for unmanned aerial vehicle (UAV) positioning and reconfigurable intelligent surface (RIS) partitioning to enhance connectivity of uplink RIS-assisted UAV networks. To achieve this, our approach optimizes RIS-aided link selection, RIS partitioning, and UAV positions to maximize network connectivity characterized by its Fiedler value. Meanwhile, it maintains a specific signal-to-interference plus noise ratio (SINR) constraint for user equipment (UE), which is influenced by RIS partitioning and UAV reliability. The network connectivity optimization problem is formulated using the Fiedler value subject to RIS elements allocation and SINR constraints. This problem is a computationally expensive combinatorial optimization, necessitating an efficient iterative approach. In particular, we propose a perturbation method for RIS-aided link selection, and derive a closed-form solution for RIS partitioning, with each partition tailored to optimize SINR for individual UAV. For the given RIS-aided links and RIS partitioning, we then show that the problem of UAV positioning can be formulated as a low complexity semi-definite programming (SDP) optimization problem, which can be solved using off-the-shelf CVX solvers. Our simulations show the potential gain of UAV positioning and RIS partitioning compared to the benchmark schemes from the literature.
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Imagination is not just replaying what we see and hear https://www.sciencenews.org/article/imagination-perception-overlap-brain-neuroscience "Conjuring a nonspecific scene or sound pings brain networks that respond to more than one sense"

Imagination is not just replaying what we see and hear
The findings differ from prior work, showing it's tough to disentangle how similarly our brains register imagined thoughts and real sensations.

Triple Configuration of Brain Networks Based on Recurrent Neural Networks: The Synergistic Effects of Exogenous Stimuli, Task Demands, and Spontaneous Activity
Binghao Yang, Guangzong Chen
https://arxiv.org/abs/2604.23525 https://arxiv.org/pdf/2604.23525 https://arxiv.org/html/2604.23525
arXiv:2604.23525v1 Announce Type: new
Abstract: The foundation of cognitive flexibility and higher-order intelligence lies in the functional structure and activity of brain networks, which can be dynamically configured by both external environments and internal states. However, decoding these dynamics from high-dimensional neural data remains a challenge. In this study, we propose a computational framework using Recurrent Neural Networks (RNNs) with neural dynamic constraints to model source-localized resting-state EEG data from $114$ participants. We aim to clarify the "triple brain network configurations" driven by exogenous and endogenous factors, including external stimuli, information processing tasks, and spontaneous activities. Our model identifies the parietal network as a critical hub supporting these multiple configuration patterns. Furthermore, we reveal that the anterior and posterior parietal regions exhibit distinct functional specializations under different stimulus modalities. By formalizing a triple configuration framework, this work separates latent factors of brain dynamics and underscores the computational significance of parietal regions in orchestrating higher-order intelligence.
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Today at #TNC26, we celebrated the people who make our community stronger 🏆
GÉANT Community Awards to Davina Luyten, Christian Panigl, and Lonneke Walk (@… ) for decades of dedication to building & strengthening the networks that connect us all.
Vietsch Medal o…

Navigating committor landscape of biomolecules with a general pairwise interaction model
Jintu Zhang, Zichang Jin, Huifeng Zhao, Kai Zhu, Bowei Zhao, Xujun Zhang, Peilin Kang, Tingjun Hou
https://arxiv.org/abs/2606.31832 https://arxiv.org/pdf/2606.31832 https://arxiv.org/html/2606.31832
arXiv:2606.31832v1 Announce Type: new
Abstract: Sampling rare conformation transitions between metastable states is a central challenge in atomistic simulations. While the committor function serve as an ideal reaction coordinate for driving enhanced sampling, their high-dimensional inputs and complex functional forms limit the efficacy of standard feedforward neural networks in modeling them. Inspired by recent breakthroughs in biomolecular structure prediction, we propose a novel committor learning framework grounded in the AlphaFold 3 paradigm. By integrating a lightweight, differentiable atom-level embedding with a simplified Pairformer architecture, our method inherently captures intricate dynamical features of diverse biosystems without requiring specialized prior knowledge. We demonstrate the superior expressiveness and accuracy of the proposed framework across multiple atomistic processes. For the folding of the chignolin mini-protein, our model reveals the finer-grained structure of its transition state ensemble (TSE) and a detailed bifurcated reaction mechanism. Furthermore, for calixarene host-guest systems, we develop a unified committor model that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
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The whole #LLM ROI thing reveals something interesting. It's basically impossible to figure out the ROI of an LLM. That makes it impossible for bean counters to make a comparison between human work and LLM work, or human work without an LLM and LLM-assisted work, to determine if the incredibly high price is worth it. But it's also impossible because you can't measure the ROI of a human, especially for skilled labor.
You can't measure the ROI of a human, because managers have no idea what people do. There's an eternally expanding amount of work designed to address this problem. But no matter how closely people are surveilled, interrogated, analyzed, there's never any real answer.
I've talked in the past about in relation to medical care. One of the dirty secrets of hospitals is that they have no way to figure out how much individual treatment costs. It's easy to understand at scale. You can know exactly how much something costs society. You can even identify patterns, using public health models, and decrease costs for society by trying to get people to avoid risky behavior (stop smoking, use protection during sex, etc). But it is absolutely not possible, at all, in any way, to figure out how much a single visit costs. This is similar to the problem of predicting climate change vs predicting the weather tomorrow in Amsterdam at 15:00. One is possible, the other is simply not.
But what is becoming painfully clear now is that this is true *everywhere*. It's trivial to know how much an industry costs. It's possible to figure out it's ROI for society. It is not possible to figure out how much value any individual worker provides. LLM ROI and cost comparison is an instance of this larger problem.
This is a problem for capitalism because it shows that the fundamental assumptions behind capitalism, that product value and labor value are quantifiable, that people can actually make comparisons between competing products, etc, are completely bullshit. The capitalist apologetics that makes up so much of economics, the lies that are told that hold this system together, are crumbling before our eyes.
If you make a lot of money, it's because you've been lucky. You have the right social networks, you have become good at convincing people to give you money. There is absolutely no way to connect that to actually providing value to society. If you make a lot of money, internalize that. Understand that you are not special, and things can change. If you don't make a lot of money, it's not because you don't provide value. Don't forget that. The system is a lie built to destroy you. Don't let it.
The ideology is sick, something something time of monsters and all that, we are together in this dying machine. We need to understand the lies. Your value can never be quantified. The way we have always figured out how to do the right thing for each other is through each other. Social connection has always guided us. But now the most socially disconnected people on the planet have hijacked the system. They direct the resources of the world, and game the system to avoid personal responsibility.
We have to build a system where everyone is accountable. We can't use abstract numbers and lies to figure things out for us. We have to build systems around people and accountability. There is no other solution.