NDT
AssessTools
A network speed and performance test used to assess connection quality.
Why it's here
Placed in Assess: 5 article(s) of evidence from 1 source(s), led by research-stage coverage, with 2 in the last 30 days. Confidence 46%.
Evidence (5)
- 5Hacker News·9/19/2026researchOONI Probe invites users to measure internet censorship
OONI is promoting its Probe app as a way for users to measure blocked websites, blocked messaging apps, network performance, and the effectiveness of circumvention tools. Test results are published in near real time to contribute to a large open dataset on internet censorship.
- 7Hacker News·9/15/2026fundingOpenAI acquires Glass Imaging for over $300M
OpenAI has reportedly acquired smartphone camera startup Glass Imaging in a deal valued at more than $300 million. Glass Imaging uses neural networks to improve image quality by tailoring processing to specific camera systems, and the acquisition may support OpenAI’s broader hardware ambitions.
- 3Hacker News·9/6/2026researchPersonal reflections on AI's technical promise and social costs
The post is a personal essay expressing mixed feelings about AI, including surprise at neural network capabilities, concern about existential risk, and criticism of web scraping, artist displacement, and resource use by AI companies. It also notes the author's positive experience with AI-assisted software development and content generation, while arguing that the technological benefits may be outweighed by broader societal harms.
- 7Hacker News·8/20/2026researchWaymo details its custom onboard compute stack for autonomous driving
Waymo published a technical overview of the compute system that powers the Waymo Driver, emphasizing deterministic low-latency processing, ruggedized hardware, and built-in redundancy for fully autonomous operation. The post highlights its shift from off-the-shelf components to a heterogeneous stack with custom silicon, including a purpose-built 5nm ASIC for real-time sensor processing and neural network inference.
- 4Hacker News·6/30/2026researchBuilt a mmWave Radar for Material Classification
An engineer described building a prototype mmWave FMCW radar to classify materials, with a focus on detecting asbestos-like surfaces. The system used a TI IWRL6432 radar module, ESP32, signal processing, Capon beamforming, and a neural network to generate and classify electromagnetic signatures. The project remained a prototype due to funding constraints.