Tootfinder

Don’t let the headline fool you, it’s just boring testing results:
“The Value of Selecting Selects by Value”
https://adrianroselli.com/2025/11/the-value-of-selecting-selects-by-value.html

The Value of Selecting Selects by Value
This is meant to use voice control to test select menus (and other fields, but the title would be less weird) by their value because their accessible names are hidden. I’m sharing results of that testing. This was partially driven by: WCAG issue #3808 SC 3.3.2: Labels or Instructions and…

I paid for Pocket Casts Web 11 years ago (before either Automattic or NPR owned it). I use it 5 days per week for roughly 4 hours per day. I think that I got maximum value out of the $9 that I paid.
#PocketCasts #Automattic #NPR

Response to Promises and Pitfalls of Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing
https://arxiv.org/abs/2509.21228 https://

Response to Promises and Pitfalls of Deep Kernel Learning
This note responds to "Promises and Pitfalls of Deep Kernel Learning" (Ober et al., 2021). The marginal likelihood of a Gaussian process can be compartmentalized into a data fit term and a complexity penalty. Ober et al. (2021) shows that if a kernel can be multiplied by a signal variance coefficient, then reparametrizing and substituting in the maximized value of this parameter sets a reparametrized data fit term to a fixed value. They use this finding to argue that the complexity penalty, a l…

I get the reason for #hashtags. I even use them.
What exactly is the point of the hashtag I just saw here on Mastodon: # ArguablyThreeDaysLate. (I broke the tag on purpose to avoid polluting it, just in case it has real value.)

Oops, #Terraform datasources cannot contain write-only attributes, which means you cannot use a sensitive value in a secure way when configuring a datasource... Which leaves us with ephemeral resources which are not always what we want or passing the sensitive value to the provider (assuming the provider can take that value and pass it along to the datasource), which is not always possible...…

I don’t use AI for anything in my academic or personal life. I value almost nothing more than my ability to think and to freely express myself. Even when I make mistakes, at least they are my mistakes.
https://www.huffpost.com/entry/history-pro…

I Set A Trap To Catch My Students Cheating With AI. The Results Were Shocking.
"Students are not just undermining their ability to learn, but to someday lead."

u wot m8
"""
First install the version of this crate corresponding to the Fibonacci number you want to use:
cargo add fibonacci-numbers@186 --rename fib186
Then you can use the VALUE constant to get its value:
assert_eq!(fib186::VALUE, 332825110087067562321196029789634457848);
"""
https://

NFL Week 17 lookahead lines: Early best bets worth considering before Week 16

https://www.cbssports.com/nfl/news/nfl-week-17-lookahead-lines-early-best-bets/

Imagine a world that we all control together, not controlled by oligarch or dictators, even indirectly. Imagine something truly collaborative. That world would be very different from our own. In some ways many of us could have a lot more opportunity. But in others, we would be restricted.
In such a world, we couldn't really have elite luxuries. Having such luxuries is only valuable so long as others do not.
> Unlike the vacuum cleaner, the radio, or the bicycle, which retain their use value when everyone has one, the car, like a villa by the sea, is only desirable and useful insofar as the masses don’t have one.
- The Social Ideology of the Motorcar
Imagine a world in which we think about luxury in a radically different way, not as something that only has value via exclusivity but something that enriches the lives of the owners more as more people have them.
What would living in such a world be like? Can you describe a day in your life?
#SolarPunkPrompts #Writing #Prompts

McKinsey expects the European demand-side flexibility market to grow to €12 billion by 2030, with a €2 billion residential portion.
https://www.mckinsey.com/industries/electric-power-and-natural-…

Presumably even more to HostRoyale. They use edgoo for all upstream.
https://social.bgp.tools/@transfers/statuses/01K9QJX3EHY2276BFBBCR3JK0Y

Post by IP/ASN Transfers, @transfers@bgp.tools
"VODAFONE ONO, S.A." transferred: 82.158.232.0/21 (Taken from 82.158.128.0/17), 82.158.240.0/20 (Taken from 82.158.128.0/17), 85.136.224.0/19 (Taken from 85.136.0.0/15) to "cleardocks LLC" (Estimated Market Value: $288.77 K)

LR-WaveHoltz: A Low-Rank Helmholtz Solver
Andreas Granath, Daniel Appel\"o, Siyang Wang
https://arxiv.org/abs/2510.09352 https://arxiv.org/pdf/2510.09…

LR-WaveHoltz: A Low-Rank Helmholtz Solver
We propose a low-rank method for solving the Helmholtz equation. Our approach is based on the WaveHoltz method, which computes Helmholtz solutions by applying a time-domain filter to the solution of a related wave equation. The wave equation is discretized by high-order multiblock summation-by-parts finite differences. In two dimensions we use the singular value decomposition and in three dimensions we use tensor trains to compress the numerical solution. To control rank growth we use step-trun…

From a Bloomberg newsletter. I guess if enough people believe Btc holds real value, then by definition it does, by analogy with gold. Still makes my skin crawl.
#Bitcoin

I’ve been using Rails for close to 20 years. I use it for multiple active projects today. I rely on both its technical upkeep and the human infrastructure that makes that upkeep possible.
DHH needs to go. He is an albatross. He provides close to zero technical value at this point, and does a hell of a lot of human harm. Worse than deadweight: he’s a liability.

„Policymakers need to set clear emissions targets and stronger financial incentives for use of lower emission materials, while industry must establish common standards for easier adoption of these materials into value chains.“
Jens-Peter Saul
CEO, #Ramboll

Jens-Peter Saul: The 100 Most Influential Climate Leaders of 2025
Find out why Jens-Peter Saul is on TIME's 2025 list of the 100 most influential leaders driving business climate action.

«The moment was absurd but revealing; the university wasn’t resisting bullshit education, it was onboarding it. Education at its best sparks curiosity and critical thought. “Bullshit education” does the opposite: it trains people to tolerate meaninglessness, to accept automation of their own thinking, to value credentials over competence.»
An excellent read about how/why uni admin pushes the use of "AI" and the impact
https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself

NFL Week 8 lookahead lines: Early best bets worth considering now before Week 7 kicks off

https://www.cbssports.com/nfl/news/nfl-week-8-looka…

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Yanxu Chen, Zijun Yao, Yantao Liu, Jin Ye, Jianing Yu, Lei Hou, Juanzi Li
https://arxiv.org/abs/2510.02209

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Large language models (LLMs) have recently demonstrated strong capabilities as autonomous agents, showing promise in reasoning, tool use, and sequential decision-making. While prior benchmarks have evaluated LLM agents in domains such as software engineering and scientific discovery, the finance domain remains underexplored, despite its direct relevance to economic value and high-stakes decision-making. Existing financial benchmarks primarily test static knowledge through question answering, bu…

Token is All You Price
Weijie Zhong
https://arxiv.org/abs/2510.09859 https://arxiv.org/pdf/2510.09859

Token is All You Price
We build a mechanism design framework where a platform designs GenAI models to screen users who obtain instrumental value from the generated conversation and privately differ in their preference for latency. We show that the revenue-optimal mechanism is simple: deploy a single aligned (user-optimal) model and use token cap as the only instrument to screen the user. The design decouples model training from pricing, is readily implemented with token metering, and mitigates misalignment pressures.

An Integral Equation Method for Linear Two-Point Boundary Value Systems
Tianze Zhang, Yixuan Ma, Jun Wang
https://arxiv.org/abs/2510.06678 https://arxiv.or…

An Integral Equation Method for Linear Two-Point Boundary Value Systems
We present an integral equation-based method for the numerical solution of two-point boundary value systems. Special care is devoted to the mathematical formulation, namely the choice of the background Green's function that leads to a well-conditioned integral equation. We then make use of a high-order Nystrom discretization and a fast direct solver on the continuous level to obtain a black-box solver that is fast and accurate. A numerical study of the conditioning of different integral formula…

A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
Reza Rahimi Baghbadorani, Peyman Mohajerin Esfahani, Sergio Grammatico
https://arxiv.org/abs/2510.03842 ht…

A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
We propose an accelerated algorithm with a Frank-Wolfe method as an oracle for solving strongly monotone variational inequality problems. While standard solution approaches, such as projected gradient descent (aka value iteration), involve projecting onto the desired set at each iteration, a distinctive feature of our proposed method is the use of a linear minimization oracle in each iteration. This difference potentially reduces the projection cost, a factor that can become significant for cer…

A Fixed Point Framework for the Existence of EFX Allocations
S. Rasoul Etesami
https://arxiv.org/abs/2510.04915 https://arxiv.org/pdf/2510.04915

A Fixed Point Framework for the Existence of EFX Allocations
We consider the problem of the existence of an envy-free allocation up to any good (EFX) for linear valuations and establish new results by connecting this problem to a fixed point framework. Specifically, we first use randomized rounding to extend the discrete EFX constraints into a continuous space and show that an EFX allocation exists if and only if the optimal value of the continuously extended objective function is nonpositive. In particular, we demonstrate that this optimization problem …

GMTHRASHpy: Forward Convolutions of Crossed Molecular Beams Experiments in Python
Kazuumi Fujioka, Rui Sun
https://arxiv.org/abs/2510.05398 https://arxiv.o…

GMTHRASHpy: Forward Convolutions of Crossed Molecular Beams Experiments in Python
We introduce GMTHRASHpy, a Python-based application to do forward convolution fits of crossed molecular beams experiments. The code is designed to be easy-to-use and widely-available, so as to be of value to anyone wanting to reproduce data or fits from these experiments. GMTHRASHpy has been benchmarked to replicate the original GMTHRASH executable for a wide variety of published reactions. The inputs and algorithm guiding it are explained. The code is open-source and can be downloaded at: gith…

Robust and efficient estimation for the Generalized Extreme-Value distribution with application to flood frequency analysis in the UK
Nathan Huet, Ilaria Prosdocimi
https://arxiv.org/abs/2510.03338

Robust and efficient estimation for the Generalized Extreme-Value distribution with application to flood frequency analysis in the UK
A common approach for modeling extremes, such as peak flow or high temperatures, is the three-parameter Generalized Extreme-Value distribution. This is typically fit to extreme observations, here defined as maxima over disjoint blocks. This results in limited sample sizes and consequently, the use of classic estimators, such as the maximum likelihood estimator, may be inappropriate, as they are highly sensitive to outliers. To address these limitations, we propose a novel robust estimator based…

On the propagation of mountain waves: linear theory
Adrian Constantin, J\"org Weber
https://arxiv.org/abs/2509.26125 https://arxiv.org/pdf/2509.26125

On the propagation of mountain waves: linear theory
We derive and establish a solution concept for the linear mountain wave problem in two dimensions. After linearizing the governing equations and a change of variables, the problem can be stated as a Dirichlet boundary value problem for a Helmholtz equation in terms of the vertical wind profile in the upper half-plane, with altitude-dependent potential (the Scorer parameter). To single out the correct solution, we have to make use of a radiation condition which is, due to the different physical …

NFL Week 11 lookahead lines: Early best bets worth considering before Week 10

https://www.cbssports.com/nfl/news/nfl-week-11-lookahead-lines-early-best-b…

Impact IRR: Leveraging Modern Portfolio Theory to Define Impact Investments
Daniel Soliman
https://arxiv.org/abs/2509.22600 https://arxiv.org/pdf/2509.2260…

Impact IRR: Leveraging Modern Portfolio Theory to Define Impact Investments
The impact investment market has an estimated value of almost $1.6 trillion. Significant progress has been made in determining the financial returns of impact investing. Investors are still, however, in the early stages of determining impact return. In this study, the author proposes the use of impact internal rate of return (impact IRR) to evaluate and monitor impact investments. This approach, which utilizes components of modern portfolio theory, adapted financial tools, and existing datasets…

A Martingale approach to continuous Portfolio Optimization under CVaR like constraints
J\'er\^ome Lelong (LJK), V\'eronique Maume-Deschamps, William Thevenot
https://arxiv.org/abs/2509.26009

A Martingale approach to continuous Portfolio Optimization under CVaR like constraints
We study a continuous-time portfolio optimization problem under an explicit constraint on the Deviation Conditional Value-at-Risk (DCVaR), defined as the difference between the CVaR and the expected terminal wealth. While the mean-CVaR framework has been widely explored, its time-inconsistency complicates the use of dynamic programming. We follow the martingale approach in a complete market setting, as in Gao et al. [4], and extend it by retaining an explicit DCVaR constraint in the problem for…

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
Jakob Scheffels, Elizabeth Qian, Iason Papaioannou, Elisabeth Ullmann
https://arxiv.org/abs/2510.07950

Likelihood-informed Model Reduction for Bayesian Inference of Static Structural Loads
Bayesian inverse problems use data to update a prior probability distribution on uncertain parameter values to a posterior distribution. Such problems arise in many structural engineering applications, but computational solution of Bayesian inverse problems is often expensive because standard solution approaches require many evaluations of the forward model mapping the parameter value to predicted observations. In many settings, this forward model is expensive because it requires the solution o…

NFL Week 15 lookahead lines: Early best bets worth considering before Week 14

https://www.cbssports.com/nfl/news/nfl-week-15-lookahead-lines-early-best-bets/

NFL Week 6 lookahead lines: Early best bets worth considering now before Week 5 kicks off

https://www.cbssports.com/nfl/news/nfl-week-6-looka…

NFL Week 14 lookahead lines: Early best bets worth considering before Week 13

https://www.cbssports.com/nfl/news/nfl-week-14-lookahead-lines-early-best-bets/

Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
Srijesh Pillai, Rajesh Kumar Chandrawat
https://arxiv.org/abs/2509.22677

Profit over Proxies: A Scalable Bayesian Decision Framework for Optimizing Multi-Variant Online Experiments
Online controlled experiments (A/B tests) are fundamental to data-driven decision-making in the digital economy. However, their real-world application is frequently compromised by two critical shortcomings: the use of statistically flawed heuristics like "p-value peeking", which inflates false positive rates, and an over-reliance on proxy metrics like conversion rates, which can lead to decisions that inadvertently harm core business profitability. This paper addresses these challenges by intro…