Overview: Developers use high-performance languages such as C++ and Rust to build AAA titles and competitive games.Cross-platform engines simplify development b ...

Ring Team Announces Significant New Contributions by Developer Youssef Saeed Youssef’s contributions, creativity, and ...

Someone spent a couple of hours with the AI-generated vibe-coded operating system Vib-OS, and it's about as bad as you'd expect, probably worse.

A dish of living human neurons has been taught to play Doom. No, it isn’t conscious or watching the screen the way players do. But it is learning to respond to signals in a way that produces ...

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...

Inside Obey the Insect God’s six-year quest to modernise Mortal Kombat-style sprites.

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

After building an AI prototype in six hours, John Winsor turned it into a full platform in two weeks—showing how AI is collapsing the gap between vision and execution.

In a wild experiment, it turns out a few human neurons linked up to some custom silicon can actually play Doom.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Researchers at a Melbourne start-up have taught their “biological computer” made from living human brain cells to play Doom.