Looper Robotics Launches Insight9: The First Autonomous Spatial AI Camera for Robots

Looper Robotics is set to launch the Insight9, which it describes as the world’s first Autonomous Spatial AI Camera, developed by DeepMirror. The company aims to shift the industry’s focus from “stunt robotics” to the fundamental infrastructure of physical AI by providing a standardized solution for robotic perception. The Insight9 camera is part of an integrated system that includes the TinyNav neural navigation library and the RoboSpatial toolchain. In addition to the camera, Looper Robotics has introduced two new robot models, NOMAD and RANGER, which are built on the Unitree Robotics platform and come pre-integrated with Looper’s spatial intelligence solutions. These products are scheduled for mass production in the second quarter of 2026.

Uber Targets Robotaxi Market with New ‘Autonomous Solutions’ Division

Uber has launched a new division named Uber Autonomous Solutions, designed to provide a comprehensive suite of services for companies developing autonomous vehicles. This initiative will offer software and support for the operation of robotaxis, self-driving trucks, and delivery robots. The company’s goal is to become an indispensable partner for the autonomous vehicle industry by handling key aspects like demand generation, customer support, and daily fleet operations. This move follows Uber’s 2020 sale of its internal autonomous vehicle development division and represents a strategic shift towards supporting the industry through partnerships and investments. Uber has already formed partnerships with nearly two dozen companies in the autonomous technology sector.

Global Privacy Authorities Address Deepfake Risks in Joint Statement on AI Imagery

Privacy Commissioner of Canada, Philippe Dufresne, along with 60 other global and domestic privacy authorities, has issued a joint statement regarding AI-generated images and videos and the protection of privacy. The statement highlights the serious risks to privacy posed by the use of personal information to create AI-generated content, including deepfakes and non-consensual intimate images. It calls on organizations developing and using these AI systems to proactively engage with regulators and implement strong safeguards from the beginning of the development process. The core message is to ensure that these technologies are developed with adequate protections for individuals’ privacy, dignity, and safety.

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Microsoft Announces Retirement of Windows Server Annual Channel on AKS

Microsoft has announced the retirement of the Windows Server Annual Channel (Preview) on Azure Kubernetes Service (AKS), effective May 15, 2026. After this date, AKS will no longer produce new node images or provide security patches for the Windows Server Annual Channel. Users will be unable to create new node pools with this version. By May 15, 2027, all existing Windows Annual Channel node images will be removed, which will cause scaling and remediation operations to fail. Customers are required to migrate their Windows Server Annual Channel node pools to the Long Term Servicing Channel (LTSC) to continue receiving support and ensure stability.

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AI ‘Slopageddon’: Open Source Maintainers Overwhelmed by Low-Quality AI Contributions

A surge of low-quality, AI-generated contributions is creating a crisis for open-source projects, leading some maintainers to restrict or halt outside contributions altogether. This phenomenon, dubbed “AI Slopageddon,” is characterized by a high volume of pull requests and bug reports that are often unhelpful and time-consuming to manage. Prominent projects like cURL and tldraw have already taken steps to limit this influx, with cURL’s maintainer shutting down a six-year-old bug bounty program after a significant drop in the validity of submissions, many of which were AI-generated. The issue extends beyond bug bounties, affecting the process of onboarding new contributors through “good first issue” labels, which are now being flooded with poor-quality submissions. This trend is raising concerns about the long-term health and sustainability of the open-source ecosystem as it grapples with the impact of AI-driven code generation.

REMnux v8 Released: Major Update for Malware Analysis Linux Distro

The specialized Linux distribution for reverse-engineering and malware analysis, REMnux, has released a major update to version 8, marking 15 years of the project. This new version, REMnux v8, is now based on Ubuntu 24.04 and includes a new installer and support for AI agents, among other new tools. The update aims to provide malware analysts with an up-to-date and enhanced toolset for investigating malicious software.

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February 2026’s Top New Open-Source Tools for Developers

Several new and noteworthy open-source projects have been released for developers. These projects showcase the continued innovation within the open-source community, providing new utilities for a variety of development and operational tasks.

  • sqlite-dist: A command-line interface tool built with Rust for packaging and distributing pre-compiled SQLite extensions.
  • tablediff: A new Python-based CLI tool for data professionals that allows for comparing data between two tables, utilizing DuckDB for efficient processing.
  • tailsnitch: A security tool written in Go that helps scan Tailscale networks for misconfigurations and security vulnerabilities.

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