From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Something extraordinary has happened, even if we haven’t fully realized it yet: algorithms are now capable of solving ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Kimi K2.5 handles up to 100 sub-agents and 1,500 tool calls, cutting task time 4.5x so you finish complex work sooner.

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...

How AI and agentic AI are reshaping malware and malicious attacks, driving faster, stealthier, and more targeted ...

The Allen Institute for AI (Ai2) has launched the Open Coding Agents family, starting with a model called SERA (Soft-Verified Efficient Repository Agents).