Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...

For decades, psychologists have argued over a basic question. Can one grand theory explain the human mind, or do attention, ...

Sahil Dua discusses the critical role of embedding models in powering search and RAG applications at scale. He explains the ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Abstract: Large language models (LLMs) demonstrate promising capabilities for automated security vulnerability detection, yet current evaluation methodologies lack statistical validation to ...

Scientists caught an AI model cheating on cognitive tests by bypassing instructions entirely, a troubling sign for AI ...

Companies compete not on who owns the hardware, but on how well their models reflect reality. For the past two years, artificial intelligence has felt oddly flat.

Agentic world models are aiding the advancement of AI in mental health. Embodiment and psychological grounding come to the fore. An AI Insider scoop.

Forget the hype about AI "solving" human cognition, new research suggests unified models like Centaur are just overfitted "black boxes" that fail to understand basic instructions.

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a ...