Large language models repeatedly chased losses, escalated risk and even bankrupted themselves in simulated gambling ...
Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...
Tech Xplore on MSN
AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...
Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...
Which AI trends are coming in 2026? Euronews Next looks at the rise of world models and small language models as alternatives ...
The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the ...
The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry ...
Research shows AI models exhibit loss chasing, illusion of control, and risky behavior when given freedom in gambling ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback