Tootfinder

KI-Update kompakt: OpenAI, Fahrassistenzsystem, Desinformation, Optimus Bot 2.5
Das "KI-Update" liefert werktäglich eine Zusammenfassung der wichtigsten KI-Entwicklungen.
https://www.…

Rams OC Mike LaFleur Opens Up on Rookie TE Terrance Ferguson’s Development https://heavy.com/sports/nfl/dallas-cowboys/terrance-ferguson-development-role-mike-lafleur/?adt_ei=[email]

Map of Gaza shows how Israeli forces will withdraw under ceasefire deal | Israel-Palestine conflict News | @…
#Gaza #peaceplan

Varje stort spelsläpp ser vi samma sak. Spelet släpps. Sedan sparkas utvecklare. Föreslår att spelutvecklare börjar se maskning som sin centrala kampform. Varje försenat spel är några fler månadslöner till arbetarna.
https://www.gamedeveloper.com/business/2k-

2K confirms layoffs at Civilization developer Firaxis
2K says the decision will "restructure and optimize" its teams within Firaxis. Sources say dozens could be impacted.

Today I discovered #ForgeJo. It's fucking awesome for self-hosting (I'm actually using it for private repositories at home).
https://forgejo.org/

Forgejo – Beyond coding. We forge.
Forgejo is a self-hosted lightweight software forge. Easy to install and low maintenance, it just does the job.

Optimized SVR Framework for Electric Load Forecasting
Nishant Gadde, Yoshua Alexander, Sarvesh Parthasarthy, Arman Allidina
https://arxiv.org/abs/2510.06476 https://

Optimized SVR Framework for Electric Load Forecasting
Load forecasting has always been a challenge for grid operators due to the growing complexity of power systems. The increase in extreme weather and the need for energy from customers has led to load forecasting sometimes failing. This research presents a Support Vector Regression (SVR) framework for electric load forecasting that outperforms the industry standard. The SVR model demonstrates better accuracy across all evaluation metrics that are important for power system operations. The model h…

Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
Jonathan Teagan
https://arxiv.org/abs/2509.07813 https://arxiv.org/pdf/2509…

Forecasting Russian Equipment Losses Using Time Series and Deep Learning Models
This study applies a range of forecasting techniques,including ARIMA, Prophet, Long Short Term Memory networks (LSTM), Temporal Convolutional Networks (TCN), and XGBoost, to model and predict Russian equipment losses during the ongoing war in Ukraine. Drawing on daily and monthly open-source intelligence (OSINT) data from WarSpotting, we aim to assess trends in attrition, evaluate model performance, and estimate future loss patterns through the end of 2025. Our findings show that deep learning …

Osloer Verkehrsbetrieb will 2026 Robotaxidienst starten
Der Osloer Verkehrsbetrieb Ruter will 2026 Robotaxis einsetzen. Die autonom fahrenden Fahrzeuge kommen aus Deutschland.
https://www.

If you're using #ForgeJo and are experiencing the error
`fatal: the remote end hung up unexpectedly` when doing "git push", the problem is the client buffer size for HTTP pushes. In my case I have just fixed it by doing the following:
`$ git config http.postBuffer 157286400`
I've found the solution here:

Auto sagt nein! Die Alarmanlage von vielen Porschefahrern in Russland unterbindet aktuell die Nutzung des eigenen Autos.
Zum Artikel: https://heise.de/-11105814?wt_mc=sm.red.ho.mastodon.mastodon.md_beitraege.md_beitraege&utm_…