OpenAI launches GPT-5.4, calling it its most capable and efficient AI model yet, with AI agents, computer control, improved reasoning, and a 1M-token context.
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 ...
Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.
Researchers have demonstrated that human brain cells can play DOOM, showcasing a major breakthrough in the advancements of wetware technology.
As Chief Information Security Officers (CISOs) and security leaders, you are tasked with safeguarding your organization in an ...
Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...
VS Code's AI Toolkit and Microsoft Foundry can speed up agent development, but real-world success often depends on picking the right runtime and region, keeping tool-driven context under control, and ...
Lite, its fastest and most cost-efficient AI model, at $0.25 per million tokens and 2.5x faster than Gemini 2.5 Flash.
A repository platform built around AI models could reshape developer workflows and reduce OpenAI’s reliance on Microsoft’s ecosystem.
Activity on the Reddit-style social network for OpenClaw agents raises serious cybersecurity and privacy concerns.