Tootfinder

This https://arxiv.org/abs/2404.18445 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

AI and the Dynamic Supply of Training Data
Artificial intelligence (AI) systems rely heavily on human-generated data, yet the people behind that data are often overlooked. Human behavior can play a major role in AI training datasets, be it in limiting access to existing works or in deciding which types of new works to create or whether to create any at all. We examine creators' behavioral change when their works become training data for commercial AI. Specifically, we focus on contributors on Unsplash, a popular stock image platform wit…

The Conservation Biology Institute is looking for volunteers with GIS and spatial data experience to help secure and preserve federally funded environmental datasets on their Data Basin platform
https://mailchi.mp/1757b2a216df/data-basin-quarterly-update?e…

This https://arxiv.org/abs/2505.04555 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_eco…

Who Bears the Cost? High-Frequency Evidence on Minimum Wage Effects and Amenity Pass-Through in Spot Labor Markets
This paper provides causal evidence on the short-run effects of minimum wage hikes in a spot labor market, using confidential contract-level data from Timee, a Japanese job-matching platform. Leveraging high-frequency variation and a bin-level difference-in-differences design, we find a 2 percentage point decline in employment within affected wage bins, with losses concentrated below the new threshold. Transportation reimbursement--a flexible nonwage amenity--remains largely unchanged, indicati…

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking
Heng Yang, Jack Cole, Yuan Li, Renzhi Chen, Geyong Min, Ke Li
https://arxiv.org/abs/2505.14402

OmniGenBench: A Modular Platform for Reproducible Genomic Foundation Models Benchmarking
The code of nature, embedded in DNA and RNA genomes since the origin of life, holds immense potential to impact both humans and ecosystems through genome modeling. Genomic Foundation Models (GFMs) have emerged as a transformative approach to decoding the genome. As GFMs scale up and reshape the landscape of AI-driven genomics, the field faces an urgent need for rigorous and reproducible evaluation. We present OmniGenBench, a modular benchmarking platform designed to unify the data, model, bench…