Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based ...

Mira Murati's Inkling won't dethrone the best Chinese open-weights models, but it gives Western developers something they ...

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...

Thinking Machines Lab unveils Inkling, its first open-weights AI model, focused on customization, multimodal reasoning, and ...

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...

It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...

Inkling, a 975-billion-parameter open source model, was trained to understand video and audio. It could help Thinking ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, ...

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Companion code for Machine Learning From Scratch — 10 core ML algorithms built from scratch with NumPy, compared with Scikit-learn and PyTorch. A from-scratch AlphaFold2 in PyTorch designed to make ...