Tootfinder

Optimal annuitization with labor income under age-dependent force of mortality
Criscent Birungi, Cody Hyndman
https://arxiv.org/abs/2510.10371 https://arxi…

Optimal annuitization with labor income under age-dependent force of mortality
We consider the problem of optimal annuitization with labour income, where an agent aims to maximize utility from consumption and labour income under age-dependent force of mortality. Using a dynamic programming approach, we derive closed-form solutions for the value function and the optimal consumption, portfolio, and labor supply strategies. Our results show that before retirement, investment behavior increases with wealth until a threshold set by labor supply. After retirement, agents tend t…

Word of the day: AI-washing
"Where management wants to cut labor costs a la Amazon, shift to cheaper contract labor a la Klarna, or execute layoffs for ideological reasons, a la DOGE, “AI” is an extremely potent justification. Some business professors and analysts have taken to calling this practice “AI-washing.””
From Brian Merchants excellent Blood in the Machine newsletter/substack.

Magnetic Resonance Imaging Virtual Liver Biopsy Using Radiomics Analysis for the Assessment of Chronic Liver Disease
Jiqing Huang, Benjamin Leporq, Val\'erie Hervieu, Sophie Gaillard, Jerome Dumortier, Olivier Beuf, H\'el\`ene Ratiney
https://arxiv.org/abs/2509.07516

Magnetic Resonance Imaging Virtual Liver Biopsy Using Radiomics Analysis for the Assessment of Chronic Liver Disease
Objectives: The role of advanced diffusion-weighted imaging (DWI) in chronic liver disease (CLD) has not been fully studied. Chronic liver disease (CLD) is a progressive deterioration of liver functions, caused by one or more etiology. This study was aimed to investigate whether radiomics features extracted from individual or combined magnetic resonance imaging sequences, such as T1-weighted, T2-weighted images, or quantitative maps from chemical shift encoded, diffusion-weighted imaging, can e…

Hues and Cues: Human vs. CLIP
Nuria Alabau-Bosque, Jorge Vila-Tom\'as, Paula Daud\'en-Oliver, Pablo Hern\'andez-C\'amara, Jose Manuel Ja\'en-Lorites, Valero Laparra, Jes\'us Malo
https://arxiv.org/abs/2509.02305

Hues and Cues: Human vs. CLIP
Playing games is inherently human, and a lot of games are created to challenge different human characteristics. However, these tasks are often left out when evaluating the human-like nature of artificial models. The objective of this work is proposing a new approach to evaluate artificial models via board games. To this effect, we test the color perception and color naming capabilities of CLIP by playing the board game Hues & Cues and assess its alignment with humans. Our experiments show that …

Tung läsning. Viktig läsning.

"Den som vill slänga 13-åringar i fängelse har gett upp, och tror inte att morgondagen kan vara en ljusare plats, eller att en ofärdig liten människa kan växa och ändras. Det är intressant att det inte är de som jobbar med barn – socialtjänsten, skolorna, åklagarna, polisen – som ger uttryck för denna syn. Det är politikerna, som lever sitt liv i symbios med de sociala mediernas enkla sanningar.

Kanske hänger denna svartsyn ihop just med skul…

Color Names in Vision-Language Models
Alexandra Gomez-Villa, Pablo Hern\'andez-C\'amara, Muhammad Atif Butt, Valero Laparra, Jesus Malo, Javier Vazquez-Corral
https://arxiv.org/abs/2509.22524

Color Names in Vision-Language Models
Color serves as a fundamental dimension of human visual perception and a primary means of communicating about objects and scenes. As vision-language models (VLMs) become increasingly prevalent, understanding whether they name colors like humans is crucial for effective human-AI interaction. We present the first systematic evaluation of color naming capabilities across VLMs, replicating classic color naming methodologies using 957 color samples across five representative models. Our results show…