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

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

A side-by-side comparison of ChatGPT and Google Gemini, exploring context windows, multimodal design, workspace integration, search grounding, and image quality.

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Learn how to secure Model Context Protocol (mcp) deployments with post-quantum cryptographic agility and granular resource governance to prevent quantum threats.

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

A biocomputer powered by lab-grown human brain cells has leveled up from Pong to Doom. While nowhere ready to handle the video game shooter’s most challenging levels, researchers at Cortical Labs in ...

Discover OpenFang, the Rust-based Agent Operating System that redefines autonomous AI. Learn how its sandboxed architecture, pre-built "Hands," and security-first design outperform traditional Python ...

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

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