A developer has ported a leaked, unfinished build of Microsoft’s canceled Andromeda OS to the original Surface Duo. This was the Windows-based system, complete with Live Tiles, that was originally planned for the device before Microsoft switched to Android.
Microsoft aims to eliminate C/C++ by 2030 using AI to translate code to Rust, while Linux has made Rust a core language. Both see AI as a tool for maintenance, not a magic code-writing solution, marking a major shift in system programming.
Nvidia is making a huge strategic move into AI inference, licensing Groq’s chip technology for a reported $20 billion. The deal brings Groq’s leadership and engineers into Nvidia’s fold as the AI market shifts focus from training models to running them at scale.
European universities are proving to be a powerhouse for valuable deep tech companies. Despite a broader VC slump, spinouts are raising near-record funding and scoring billion-dollar exits.
Despite three straight years of strong returns, market strategists remain optimistic for 2026. They point to projected earnings growth of over 15% and a resilient economy as key drivers for another potential bull market year.
The public conversation around AI is a confusing mess because the term has become a meaningless catch-all. Experts argue this lack of clarity prevents us from understanding the real risks and benefits of the dozens of technologies hiding under the AI umbrella.
The next frontier for AI isn’t on Earth—it’s in low-Earth orbit. A new race is on between China, US tech giants, and startups to build orbital data centers, promising massive energy savings and a computing edge.
The AI investment frenzy has shifted. Instead of just buying Nvidia or Microsoft, smart money is now chasing the less glamorous companies that build and power the data centers. We’re talking construction, electrical work, cooling systems, and even bitcoin miners.
A new release of InputPlumber brings expanded hardware support to Linux by implementing WMI marshalling. This aims to close a key gap in how Linux interacts with system firmware compared to Windows.
The bottleneck for AI’s impact is no longer technological capability. According to a Fortune piece, the real hurdle is whether organizations and their institutional rules can absorb and deploy it effectively at scale.
