Meta’s investment sends a clear message. The training and evaluation of AI models depend on data that is not just abundant, but accurate, representative, and human-validated. It’s a strategic move ...

LLMs that emulate human speech are being used to cost-effectively test assumptions and run pilot studies, producing promising early results. But researchers note that human data remains essential.

OpenAI's GPT-5, the latest installment of the AI technology that powered the ChatGPT juggernaut in 2022, is set for an ...

This is the fool’s gold of AI: data that looks shiny, but can’t stand up to legal scrutiny or meet the appropriate quality ...

For HR teams looking to adopt AI effectively, understanding and leveraging data is essential, not only to evaluate the right ...

In the paper, Anthropic explained that it can steer these vectors by instructing models to act in certain ways -- for example ...

May 29, 2025, 01:15pm EDT getty When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled.

At its core, physical AI requires spatial understanding: the ability for machines to perceive and reason about ...

While debates often focus on model architectures and computing power, the true linchpin of reliable AI systems is the human data used to train them.