Privacy watchdog launches probe into China-based company behind Kmart ‘pervert glasses’ app

Guardian World•Tue, Oct 6, 2026, 11:58 PM•2 min read

Commissioner said Shenzhen Qingcheng, the app maker behind the HeyCyan app in the smartglasses, failed to respond to her inquiries Get our breaking news email , free app or daily news podcast The Australian privacy regulator has opened an investigation into the China-based software company behind...

Source: [Guardian World](https://www.theguardian.com/technology/2026/oct/07/privacy-regulator-probe-kmart-anko-meta-smartglasses-australia)

📰 Read Full Story

This is an aggregated headline summary. For the complete report, visit the original publisher.

Continue Reading at Guardian World ↗

#tech #app #behind #kmart #smartglasses #privacy #china #based #company

More Headlines

TechnologyHacker News• 6m ago

Commonhour, free group scheduling that ends with a real calendar invite

1 points, 0 comments on Hacker News

TechnologyDev.to• 7m ago

Ventana seca: finding the dry hour to get outside in Panama's rainy season, with Gemma on my laptop

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass What I Built October is the heart of the rainy season in Panama City. Most afternoons, the sky opens up somewhere between 1 and 5 p. m.

TechnologyHacker News• 7m ago

Mastering SIMD with Java Vector API

2 points, 0 comments on Hacker News

TechnologyHacker News• 8m ago

Contamos – a shared multi-currency ledger your AI assistant can read and write

1 points, 0 comments on Hacker News

TechnologyHacker News• 9m ago

Show HN: Zero dependency cross-language background job queue server

I'm Chris, and this is Zizq, a centralised job queue with a heap of awesome features I won't list off here. https://github. com/zizq-labs/zizq It gets through the queue fast under heavy throughput and requires no setup out of the box.

TechnologyDev.to• 10m ago

AI Math Models Hallucinate Proof Steps – How to Verify

When you ask an AI model to produce a proof for a math problem, the steps can look polished yet hide subtle logical gaps. If you trust the output blindly, those hallucinations may end up in research notes or teaching materials. Why AI-generated proofs can hallucinate Common failure modes to wat...