The first structured, multi-lab framework for testing the most powerful artificial intelligence models before they reach the public is days away from becoming official — and buried inside the emerging ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

Enterprise AI has spent the last two years fixated on ever more powerful models. But a largely hidden layer is emerging ...

British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Adversaries do not need to breach the Pentagon’s systems: They only need to harvest the logic of the publicly released frontier AI models that underpin them. This is a defining risk as the Department ...

Twenty years after the introduction of the theory, we revisit what it does—and doesn’t—explain. by Clayton M. Christensen, Michael E. Raynor and Rory McDonald Please enjoy this HBR Classic. Clayton M.

Abstract: In the modelling of distributed systems, most Model of Computations (MoCs) rely on blocking communication to preserve determinism. A prominent example is Kahn Process Networks (KPNs), which ...