Jaque Silva/NurPhoto via OpenAI’s o3 focuses on high-level reasoning, using a “private chain of thought” to solve problems. This approach allows it to perform well in physics, mathematics and science-related reasoning.

Nvidia, Google and hot startup OpenAI are turning to "synthetic data" factories amid demand for massive amounts of data needed to train artificial intelligence models.

With the wide release of Sora, OpenAI's video tool, most of the big tech giants — and some startups — are now racing to create models capable of generating realistic, high-quality videos from text prompts.

The AI company has suffered a slew of weird scandals in the past few days, but they may be the least of its problems.

Geoffrey Hinton is known for his work developing artificial neural networks, the foundation for AI, and won the 2024 Nobel Prize in physics in October.

Google DeepMind is assembling a new team of artificial intelligence researchers to develop “world models” that can simulate physical environments. The initiative will be led by Tim Brooks, a former co-lead for OpenAI’s Sora project who joined DeepMind in October to work on Google’s video generation and world simulators.

Sam Altman teased that the AGI and superintelligence are coming to ChatGPT soon, but we don't even have the next big GPT-5 upgrade.

These two men are of different generations (Gates is 69, Altman 39), and their companies presided over different revolutions. But Microsoft and OpenAI are coming together to offer some of the most relevant new services and capabilities to the market.

Despite costing users $200 per month, OpenAI’s ChatGPT Pro plan is actually losing the company money, according to a recent tweet fired off by CEO Sam Altman.

Red teaming has become the go-to technique for iteratively testing AI models to simulate diverse, lethal, unpredictable attacks.