Peter Attia warns that simplicity is crushing nuance in science. I agree—so I took a closer look at his own argument on LDL, ...

An exploration of autonomous AI agents as non-human identities, why classic risk models fail, and how zero-trust, guardrails, ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

Abstract: Answering logical questions with a knowledge graph has been a critical research focus because this needs to reason and synthesize information. Previous studies have mainly dealt with logical ...

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 ...

Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

Diffusion models generate tens of thousands of plausible weather events where historical data doesn't exist. Insurers are hoping for more precise risk assessments. Researchers warn about ...

Abstract: Tabular data is one of the most common data formats, and recent advancements in deep learning have driven significant progress in tabular data synthesis. However, the complexity of ...