Research reveals extent of data collection by modern connected cars

·1 views

Researchers at Northeastern University have studied the data collection practices of modern connected vehicles. They found that cars systematically gather and transmit a wide array of personal information. This data can include details about driving behavior, location, and media consumption. The study highlights significant privacy concerns for consumers, as this information is often shared with various third parties.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Critical GitLab vulnerability CVE-2026-85706 allows unauthenticated file reads

A critical vulnerability, CVE-2026-85706, allows unauthenticated attackers to read files on unpatched GitLab servers. The flaw is a path traversal issue in GitLab's repository commits API that was fixed in multiple versions released in September 2026. It is listed as actively exploited in CISA's Known Exploited Vulnerabilities catalog, heightening its priority. The vulnerability is particularly dangerous because configuration files often contain credentials and keys that could enable further attacks. Over 1.3 million GitLab instances were indexed online as potential targets.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Racksmith AI Agent Uses Sanity MCP to Plan Modular Synthesizer Racks

Racksmith is an autonomous AI agent designed to safely plan Eurorack modular synthesizer configurations. It was created as part of a Sanity Challenge and publicly launched as a live application. The system pairs the Gemini 3.8 Flash model with a structured content lake via the Model Context Protocol to prevent hardware damage. It tackles common planning pitfalls like physical depth collisions, power rail overloads, and conflicting manufacturer specifications.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer advocates for small, single-purpose functions for cleaner code

A software developer shared a personal experience of struggling with a large, complex legacy codebase. They concluded that writing small, focused functions is a key habit for improving code quality. Such functions, ideally under 20-30 lines, perform a single task well, enhancing readability, debugging, reuse, and testing. The article illustrates the principle by contrasting a large multi-purpose function with a refactored version composed of smaller ones.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

AI Evaluation Tools Iris, Langfuse, Phoenix, Promptfoo Differ in Approach and Integration

Four distinct tools—Langfuse, Arize Phoenix, Promptfoo, and Iris—offer different solutions for monitoring and evaluating AI agent performance. Langfuse and Phoenix are open-source observability platforms that integrate via SDKs and OpenTelemetry, respectively, while Promptfoo is a command-line test runner. Iris functions as an evaluation server using the Model Context Protocol to assess agent traces with deterministic rules. A key differentiator is how each tool integrates into a development stack and where its evaluation logic executes, affecting cost and functionality when agents use external tools.

0 comments Read more at DEV Community