What if the future of artificial intelligence wasn’t about building ever-larger models but instead about doing more with less? In a stunning upset, the 27-million-parameter Hierarchical Reasoning ...

Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks ...

While these potential applications are showing where the tangible value will be in using reasoning models, the reality is that they are still nascent, and we have not seen widespread adoption for a ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...

OpenAI today made its o3-mini large language model generally available for ChatGPT users and developers. Word of the launch leaked a few hours earlier. According to Wired, OpenAI brought o3-mini’s ...

There’s a new Apple research paper making the rounds, and if you’ve seen the reactions, you’d think it just toppled the entire LLM industry. That is far from true, although it might be the best ...

The human brain is very good at solving complicated problems. One reason for that is that humans can break problems apart into manageable subtasks that are easy to solve one at a time. This allows us ...

Brain-inspired AI model 2025: In a breakthrough that could reshape how artificial intelligence reasons, scientists in Singapore have unveiled a radically different kind of AI model, and it’s already ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

Nvidia researchers developed dynamic memory sparsification (DMS), a technique that compresses the KV cache in large language models by up to 8x while maintaining reasoning accuracy — and it can be ...