Tootfinder

End-of-Year Threat Intelligence Sightings Forecast
This report presents an analysis of Threat Intelligence (TI) Sightings aggregated from several key data sources, including social platforms, code repositories, and specialized TI feeds. The primary objective is to visually track historical trends per source and provide a short-term adaptive forecast for a defined period (in days).
#opensource

Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
Jacob B. Landsberg, Elizabeth A. Barnes
https://arxiv.org/abs/2509.22359 h…

Forecasting the Future with Yesterday's Climate: Temperature Bias in AI Weather and Climate Models
AI-based climate and weather models have rapidly gained popularity, providing faster forecasts with skill that can match or even surpass that of traditional dynamical models. Despite this success, these models face a key challenge: predicting future climates while being trained only with historical data. In this study, we investigate this issue by analyzing boreal winter land temperature biases in AI weather and climate models. We examine two weather models, FourCastNet V2 Small (FourCastNet) a…