For most people, solving a problem is the reward—the relief of being done, the achievement of having figured it out.

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Across the United States, families are noticing a subtle change at home: everyday abilities that once made life feel ...

Third, the AI industry itself will attempt to solve the spatial intelligence problem. Spatial intelligence is already a hot concept in the broader AI world. Companies such as NVIDIA and World Labs ...

It's not news to anyone that there are concerns about AI’s rising energy bill. But a new analysis shows the latest reasoning models are substantially more energy intensive than previous generations, ...

It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...

After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and the ...

Forbes contributors publish independent expert analyses and insights. Dr. Gerui Wang writes about AI, society, media, and culture. Fei-Fei Li, a recipient of the 2025 Queen Elizabeth Prize for ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

General Intuition PBC, a startup developing artificial intelligence models that can navigate three-dimensional environments, has raised $133.7 million in funding. TechCrunch reported today that Khosla ...

This paper introduces RegexPSPACE, a new benchmark of PSPACE-complete regex problems, to show that even state-of-the-art LLMs struggle with tasks requiring complex reasoning, thus revealing their ...

Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this ...