Software Update
Tesla rolls out Full Self-Driving v14.1 software update
9 Mwezi wa kumi, 2025 Picha iliyoundwa na AI
Tesla has begun deploying its Full Self-Driving (FSD) version 14.1 to early access users, introducing robotaxi-like features such as automatic parking options and improved navigation. The update, released on October 7, 2025, marks the first public launch of this iteration after a delay due to a last-minute bug. Elon Musk outlined a roadmap for subsequent versions, promising enhancements that will make the system feel sentient.
CoolerControl 3.0 update enhances Linux cooling controls
The CoolerControl utility has released version 3.0.0, introducing major architectural improvements and new features for Linux users. This update adds an API for third-party integrations and prepares the software for future hardware support. A follow-up v3.0.1 patch fixes minor issues and boosts UI stability.
Tesla Limits Summon Feature to Cut Energy Use
Tesla has introduced new restrictions on its Smart Summon feature to reduce standby energy consumption in its vehicles, addressing concerns over battery drain during idle periods. The update, rolled out via over-the-air software, limits the feature's availability to specific scenarios, potentially improving efficiency for owners. This change reflects ongoing efforts to optimize electric vehicle performance amid growing scrutiny on energy management.
Apple issues iOS 26.0.1 update to fix iPhone installation bugs
1 Mwezi wa kumi, 2025 Imeripotiwa na AI
Apple has released iOS 26.0.1 and macOS 26.0.1 updates to address installation issues and problems affecting new iPhone models. The patches target bugs reported by users shortly after the launch of iOS 26. These fixes aim to improve stability for devices like the iPhone 17 and iPhone Air.
Kali Linux 2025.3 releases Gemini CLI for automated pentesting
7 Mwezi wa kumi, 2025 Imeripotiwa na AI
The latest Kali Linux update, version 2025.3, introduces Gemini CLI, an open-source tool that integrates Google's Gemini AI into the terminal. This innovation automates penetration testing tasks like reconnaissance and vulnerability scanning using natural language prompts. Security professionals can now streamline workflows while maintaining control over assessments.