The Stack — May 22, 2026

Today's technology briefing highlights key developments in cybersecurity, quantum computing, AI infrastructure, and innovative hardware releases.

Cybersecurity

A critical vulnerability in the Chromium browser codebase, affecting popular browsers like Chrome and Microsoft Edge, remains unpatched for over 42 months. This flaw, related to the Browser Fetch interface, could allow attackers to monitor usage and launch denial-of-service attacks, potentially turning devices into a botnet network. The vulnerability was reported in late 2022, and its continued presence raises significant security concerns for millions of users.

Quantum Computing

The US government has committed a substantial $2 billion investment in nine quantum computing companies, including IBM and GlobalFoundries. This funding is part of the CHIPS Research and Development initiative, aimed at bolstering American innovation in quantum technologies. IBM and GlobalFoundries are major beneficiaries, receiving $1 billion and $375 million respectively, which has positively impacted their stock prices.

AI Infrastructure and Development

Docker has introduced an undocumented API for microVMs, providing a secure sandboxing solution for untrusted code execution. This development enhances security by offering VM-level isolation, addressing concerns associated with traditional container use. An open-source Sandbox Agent SDK has been released to orchestrate coding agents within these microVMs, offering a secure alternative for running AI coding agents and untrusted scripts.

Cekura, a Y Combinator-backed startup, is developing infrastructure for self-improving conversational AI agents. Their platform automates testing and observability, improving reliability and reducing production errors for AI voice agents across platforms like voice, chat, and SMS.

Hardware Innovations

Flipper Devices has unveiled the Flipper One, a pocket-sized ARM computer running on Linux with an AI accelerator, designed for high-performance computing and offline AI model execution. It features robust technical specifications, including an eight-core ARM CPU, 8 GB of RAM, and a Mali G52 MC3 GPU. The device supports M.2 modules for expanded functionality, such as 5G or SDR-radio connectivity, and is designed as an open hardware platform, encouraging community engagement and customization.

These developments reflect ongoing efforts to enhance security, foster innovation in quantum computing, and advance AI infrastructure and hardware capabilities.