Tootfinder

Growing nervosity in Germany on the low filling level of its gas storages: only 50%, six weeks before the end of the usual filling season. No lessons learned from years of Russia (and now Trump) using gas to pressure Europe, and Trump's war in the Middle East. https://www.tagesschau.de/wirtschaft/en…

"This single objective, predicting the next token, is the core training signal for a base LLM. The base model isn’t trained on factual accuracy, conversational ability, reasoning, or coding directly. It’s trained to predict the next token in massive amounts of text. Later post-training can then tune the model for instruction following, preference, safety, and conversational behavior.
... It’s called speculative decoding. A small fast model proposes several tokens ahead. The big mo…

Digital Twin Modeling of a Highly Automated Agricultural Tractor
Clay Hallman, Lukas Pindl, Timo Oksanen
https://arxiv.org/abs/2607.19912 https://arxiv.org/pdf/2607.19912 https://arxiv.org/html/2607.19912
arXiv:2607.19912v1 Announce Type: new
Abstract: In efforts to increase research efficiency and availability, a digital twin of our research tractor (AMX G-trac) is created, focusing especially on the CAN communication for data reading and actuation command following the ISOBUS protocol. Mevea Simulation Software is utilized as the foundation, providing the kinematic model and visuals, while Python is used to read and write CAN messages over a Kvaser CanKing virtual CAN channel. Various performance tests involving straight line and turning behavior are performed in both the digital twin simulation and in the real world to measure similarity. Results indicate that the Mevea model behaves very comparable in its lateral dynamics, often within 5-10 percent, but requires better data to fully capture the longitudinal aspects like acceleration. The final model described in this paper sets the table for a second iteration to include more tractor functions such as hydraulics and tractor-implement dynamics.
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