Tootfinder

Coinbase says its new "everything exchange" will include tokenized assets, stocks, derivatives, prediction markets, and more, for US users in the coming months (Tanaya Macheel/CNBC)
https://www.cnbc.com/2025/07/31/coinbase-t

Coinbase says it's launching tokenized stocks, predictions markets for U.S. users in coming months
The expansion puts Coinbase in even closer competition with Robinhood, Gemini and Kraken, all of whom have tokenized equity offerings for users outside the U.S.

A look at the potential future of personalized, AI-generated entertainment, and how it could both submerge human originality and enable new forms of expression (Joshua Rothman/New Yorker)
https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-cu…

A.I. Is Coming for Culture
We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination?

Leveraging Caliper and Benchpark to Analyze MPI Communication Patterns: Insights from AMG2023, Kripke, and Laghos
Grace Nansamba, Evelyn Namugwanya, David Boehme, Dewi Yokelson, Riley Shipley, Derek Schafer, Michael McKinsey, Olga Pearce, Anthony Skjellum
https://arxiv.org/abs/2507.22372

Leveraging Caliper and Benchpark to Analyze MPI Communication Patterns: Insights from AMG2023, Kripke, and Laghos
We introduce ``communication regions'' into the widely used Caliper HPC profiling tool. A communication region is an annotation enabling capture of metrics about the data being communicated (including statistics of these metrics), and metrics about the MPI processes involved in the communications, something not previously possible in Caliper. We explore the utility of communication regions with three representative modeling and simulation applications, AMG2023, Kripke, and Laghos, all part of t…

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin, Ron Levie
https://arxiv.org/abs/2509.24886 https://

Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Canonicalization is a widely used strategy in equivariant machine learning, enforcing symmetry in neural networks by mapping each input to a standard form. Yet, it often introduces discontinuities that can affect stability during training, limit generalization, and complicate universal approximation theorems. In this paper, we address this by introducing \emph{adaptive canonicalization}, a general framework in which the canonicalization depends both on the input and the network. Specifically, w…

The fracturing of the Dutch far-right, after Wilder's reminded everyone that bigots are bad at compromise, is definitely a relief. Dutch folks I've talked to definitely see D66 as progressive, <strike>so there's no question this is a hard turn to the left (even if it's not a total flip to the far-left)</strike> a lot of folks don't agree. I'm going to let the comments speak rather than editorialize myself..
While this is a useful example of how a democracy can be far more resilient to fascism than the US, that is, perhaps, not the most interesting thing about Dutch politics. The most interesting thing is something Dutch folks take for granted and never think of as such: there are two "governments."
The election was for the Tweede Kamer. This is a house of representatives. The Dutch use proportional representation, so people can (more or less) vote for the parties they actually want. Parties <strike>rarely</strike> never actually get a ruling majority, so they have to form coalition governments. This forces compromise, which is something Wilders was extremely bad at. He was actually responsible for collapsing the coalition his party put together, which triggered this election... and a massive loss of seats for his party.
Dutch folks do still vote strategically, since a larger party has an easier time building the governing coalition and the PM tends to come from the largest party. This will likely be D66, which is really good for the EU. D66 has a pretty radical plan to solve the housing crisis, and it will be really interesting to see if they can pull it off. But that's not the government I want to talk about right now.
In the Netherlands, failure to control water can destroy entire towns. A good chunk of the country is below sea level. Both floods and land reclamation have been critical parts of Dutch history. So in the 1200's or so, the Dutch realized that some things are too important to mix with normal politics.
You see, if there's an incompetent government that isn't able to actually *do* anything (see Dick Schoof and the PVV/VVD/NSC/BBB coalition) you don't want your dikes to collapse and poulders to flood. So the Dutch created a parallel "government" that exists only to manage water: waterschap or heemraadschap (roughly "Water Board" in English). These are regional bureaucracies that exist only to manage water. They exist completely outside the thing we usually talk about as a "government" but they have some of the same properties as a government. They can, for example, levy taxes. The central government contributes funds to them, but lacks authority over them. Water boards are democratically elected and can operate more-or-less independent of the central government.
Controlling water is a common problem, so water boards were created to fulfill the role of commons management. Meanwhile, so many other things in politics run into the very same "Tragedy of the Commons" problems. The right wing solution to commons management is to let corporations ruin everything. The left-state solution is to move everything into the government so it can be undermined and destroyed by the right. The Dutch solution to this specific problem has been to move commons management out of the domain of the central government into something else.
And when I say "government" here, I'm speaking more to the liberal definition of the term than to an anarchist definition. A democratically controlled authority that facilitates resource management lacks the capacity for coercive violence that anarchists define as "government." (Though I assume they might leverage police or something if folks refuse to pay their taxes, but I can't imagine anyone choosing not to.)
As the US federal government destroys the social fabric of the US, as Trump guts programs critical to people's survival, it might be worth thinking about this model. These authorities weren't created by any central authority, they evolved from the people. Nothing stops Americans from building similar institutions that are both democratic and outside of the authority of a government that could choose to defund and abolish them... nothing but the realization that yes, you actually can.
#USPol #NLPol

Resigned health official: 'I only see harm coming' (David Cohen/Politico)
https://www.politico.com/news/2025/08/31/cdc-resignation-daskalakis-harm-coming-00538153
http://www.memeorandum.com/250831/p70#a250831p70

DeMarvion Overshown hopes to be second coming of a Cowboys legend https://www.si.com/nfl/cowboys/demarvion-overshown-hopes-to-be-second-coming-dallas-cowboys-legend

Predicting when each winless NFL team will get its first win: Saints' breakthrough coming soon?

https://www.cbssports.com/nfl/news/predict

A look at the potential future of personalized, AI-generated entertainment, and how it could both submerge human originality and enable new forms of expression (Joshua Rothman/New Yorker)
https://www.newyorker.com/magazine/2025/09/01/ai-is-coming-for-cu…

A.I. Is Coming for Culture
We’re used to algorithms guiding our choices. But when machines can effortlessly generate the content we consume, Joshua Rothman asks, what’s left for the human imagination?

Enhancing Communication Efficiency in FL with Adaptive Gradient Quantization and Communication Frequency Optimization
Asadullah Tariq, Tariq Qayyum, Mohamed Adel Serhani, Farag Sallabi, Ikbal Taleb, Ezedin S. Barka
https://arxiv.org/abs/2509.23419

Enhancing Communication Efficiency in FL with Adaptive Gradient Quantization and Communication Frequency Optimization
Federated Learning (FL) enables participant devices to collaboratively train deep learning models without sharing their data with the server or other devices, effectively addressing data privacy and computational concerns. However, FL faces a major bottleneck due to high communication overhead from frequent model updates between devices and the server, limiting deployment in resource-constrained wireless networks. In this paper, we propose a three-fold strategy. Firstly, an Adaptive Feature-Eli…