Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

This behavior is known in research circles as sycophancy, Olson explains, referring to the well-documented tendency of large language models to agree with users rather than ...

As adoption of education technology accelerates, a fundamental question remains: Are we measuring the right things?

LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...

To mitigate algorithmic obscurity, leaders require a systematic approach to strengthening organisational signals. The A-V-S ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

Frontier models such as OpenAI's GPT depend mostly on increasing computing power rather than smarter algorithms, according to a new MIT report. Here's why that matters.

The Minister for Education, Aseri Radrodro, accompanied by Fiji’s Ambassador to the United States, Ilisoni Vuidreketi, led a ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Just last week the Chinese firm Moonshot AI released its latest open-weight model, Kimi K2.5, which came close to top proprietary systems such as Anthropic’s Claude Opus on some early benchmarks. The ...

Straive CEO Ankor Rai on why GenAI pilots fail, and how content readiness, governance, and HITL models enable ...