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 ...

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 ...

Mathematician Will Sawin discusses his experience reviewing and refining a mathematical proof devised by OpenAI's internal model—and what that could mean for mathematics.

Researchers at Stanford and Caltech have found some critical reasoning failures in advanced AI models. LLMs are great at recognizing patterns, but they have trouble with basic logic, social reasoning, ...

Abstract: Large language models have shown promising potential in reducing the accidental complexity of model-driven engineering, particularly in automating model transformation tasks. However, ...

Abstract: Large Language Models (LLMs) have advanced natural language processing, particularly through Chain-of-Thought (CoT) reasoning, but their high computational costs limit deployment. We propose ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

The hip-hop-star-turned-filmmaker tells IndieWire about the distribution deal he walked away from and how he rallied his fanbase to sell $1 million (and counting!) worth of Blu-rays. What do you do ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...