Tootfinder

Meta’s banning of two anti-Zionist comedians from Instagram is the latest example of Big Tech’s deep anti-Palestinian bias
#meta #facebook #instagram

For Democrats, Mamdani Is a Wake-Up Call--and a Bad Example (Tom Suozzi/Wall Street Journal)
https://www.wsj.com/opinion/for-democrats-mamdani-is-a-wake-up-call-and-a-bad-example-7e43189c?st=KqkjDk
http://www.memeorandum.com/250702/p146#a250702p146

EigenBench: A Comparative Behavioral Measure of Value Alignment
Jonathn Chang, Leonard Piff, Suvadip Sana, Jasmine X. Li, Lionel Levine
https://arxiv.org/abs/2509.01938 https://…

EigenBench: A Comparative Behavioral Measure of Value Alignment
Aligning AI with human values is a pressing unsolved problem. To address the lack of quantitative metrics for value alignment, we propose EigenBench: a black-box method for comparatively benchmarking language models' values. Given an ensemble of models, a constitution describing a value system, and a dataset of scenarios, our method returns a vector of scores quantifying each model's alignment to the given constitution. To produce these scores, each model judges the outputs of other models acro…

$L^p$ Estimates for Eigenfunctions of a Generalized Landau Magnetic Laplacian
Ben Gabriel Goldschlager
https://arxiv.org/abs/2507.00183 https://

$L^p$ Estimates for Eigenfunctions of a Generalized Landau Magnetic Laplacian
In this paper, we examine eigenfunctions of a generalized Landau Magnetic Laplacian that models the physics of an electron confined to a plane in a magnetic field orthogonal to the plane. This operator has an infinite dimensional null space and, at least in the model case, has infinite dimensional eigenspaces with eigenvalues which are essentially the same as the eigenvalues of the Hermite operator. We demonstrate that, under fairly general assumptions on the potential function of the magnetic …

Ausstellungsobjekt gleich am Eingang zum Eisenbahnmuseum Břeclav - es handelt sich um Meter über der Adria, wohlgemerkt. Laut tschechischer Wikipedia beträgt die auf den Pegel Kronstadt bezogene Höhe des Bahnhofs 160 m n. m. (metrech nad mořem).

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, Xavier Pennec
https://arxiv.org/abs/2507.01542

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles
Gaussian mixture models (GMMs) are ubiquitous in statistical learning, particularly for unsupervised problems. While full GMMs suffer from the overparameterization of their covariance matrices in high-dimensional spaces, spherical GMMs (with isotropic covariance matrices) certainly lack flexibility to fit certain anisotropic distributions. Connecting these two extremes, we introduce a new family of parsimonious GMMs with piecewise-constant covariance eigenvalue profiles. These extend several lo…

I haven’t added an example of how you implement migrations with Kitten’s¹ built-in JSDB database² yet but here’s one that I just used when renaming a field (property) in a table (JavaScript object) from “account” to “data” that illustrates the general granular approach you should take within persisted instances of JavaScript classes.
This is, of course, an advanced use case of the built-in JavaScript database that all Kitten apps have.
Kitten is simple for simple use cases. So ch…

Challenges & Opportunities with LLM-Assisted Visualization Retargeting
Luke S. Snyder, Chenglong Wang, Steven Drucker
https://arxiv.org/abs/2507.01436 …

Challenges & Opportunities with LLM-Assisted Visualization Retargeting
Despite the ubiquity of visualization examples published on the web, retargeting existing custom chart implementations to new datasets remains difficult, time-intensive, and tedious. The adaptation process assumes author familiarity with both the implementation of the example as well as how the new dataset might need to be transformed to fit into the example code. With recent advances in Large Language Models (LLMs), automatic adaptation of code can be achieved from high-level user prompts, red…

Birkhoff-Kellogg type results in product spaces and their application to differential systems
Alessandro Calamai, Gennaro Infante, Jorge Rodr\'iguez-L\'opez
https://arxiv.org/abs/2509.01392

Birkhoff-Kellogg type results in product spaces and their application to differential systems
We provide a new version of the well-known Birkhoff-Kellogg invariant-direction Theorem in product spaces. Our results concern operator systems and give the existence of component-wise eigenvalues, instead of scalar eigenvalues as in the classical case, that have corresponding eigenvectors with all components nontrivial and localized by their norm. We also show that, when applied to nonlinear eigenvalue problems for differential equations, this localization property of the eigenvectors provides…

How to tell a vibe coder of lying when they say they check their code.
People who will admit to using LLMs to write code will usually claim that they "carefully check" the output since we all know that LLM code has a lot of errors in it. This is insufficient to address several problems that LLMs cause, including labor issues, digital commons stress/pollution, license violation, and environmental issues, but at least it's they are checking their code carefully we shouldn't assume that it's any worse quality-wise than human-authored code, right?
Well, from principles alone we can expect it to be worse, since checking code the AI wrote is a much more boring task than writing code yourself, so anyone who has ever studied human-computer interaction even a little bit can predict people will quickly slack off, stating to trust the AI way too much, because it's less work. I'm a different domain, the journalist who published an entire "summer reading list" full of nonexistent titles is a great example of this. I'm sure he also intended to carefully check the AI output, but then got lazy. Clearly he did not have a good grasp of the likely failure modes of the tool he was using.
But for vibe coders, there's one easy tell we can look for, at least in some cases: coding in Python without type hints. To be clear, this doesn't apply to novice coders, who might not be aware that type hints are an option. But any serious Python software engineer, whether they used type hints before or not, would know that they're an option. And if you know they're an option, you also know they're an excellent tool for catching code defects, with a very low effort:reward ratio, especially if we assume an LLM generates them. Of the cases where adding types requires any thought at all, 95% of them offer chances to improve your code design and make it more robust. Knowing about but not using type hints in Python is a great sign that you don't care very much about code quality. That's totally fine in many cases: I've got a few demos or jam games in Python with no type hints, and it's okay that they're buggy. I was never going to debug them to a polished level anyways. But if we're talking about a vibe coder who claims that they're taking extra care to check for the (frequent) LLM-induced errors, that's not the situation.
Note that this shouldn't be read as an endorsement of vibe coding for demos or other rough-is-acceptable code: the other ethical issues I skipped past at the start still make it unethical to use in all but a few cases (for example, I have my students use it for a single assignment so they can see for themselves how it's not all it's cracked up to be, and even then they have an option to observe a pre-recorded prompt session instead).