The Stack — June 28, 2026

Today's technology briefing highlights key developments across AI/ML, industry moves, and the developer world.

AI/ML

The AI landscape is seeing notable activity with Asian startups launching models to rival those restricted by U.S. export controls. Chinese firm 360 has introduced Tulongfeng, an AI tool focused on cybersecurity, while Sakana AI from Tokyo has launched Fugu, optimized for small datasets and the Japanese language. These moves underscore a regional push to fill gaps left by U.S. restrictions, although American models continue to hold significant influence in Asia.

In legal news, the New York Times is amending its copyright complaint against Microsoft and OpenAI, aligning its claims with a new legal standard for contributory infringement. This follows a Supreme Court ruling that requires proof of intentional inducement of illegal conduct. Microsoft views this as an attempt to salvage the NYT's case after recent unfavorable precedents.

Industry

Elon Musk is set to acquire Mesh Optical Technologies, a startup founded by former SpaceX engineers. This acquisition, approved by the FTC, aims to bolster SpaceX's data center capabilities with Mesh's advanced optical transceiver technology, promising enhanced data communication efficiency.

In a separate development, Paul Meade, previously Apple's VP overseeing the Vision Pro headset, is transitioning to OpenAI's hardware team. This move is part of OpenAI's collaboration with Apple's former design chief Jony Ive on a new AI device, reflecting strategic shifts in hardware design and AI integration.

Developer World

The release of the Fintech Engineering Handbook marks a significant contribution to software engineering, offering comprehensive guidance on building reliable financial systems with a focus on data integrity and audit trails. Additionally, the introduction of DSpark, a speculative decoding approach, aims to accelerate inference for large language models, potentially influencing future deployments and optimizations in AI applications.

These developments highlight the dynamic interplay of technology, legal frameworks, and strategic industry shifts, showcasing the ongoing evolution in AI capabilities, hardware innovation, and software development practices.