Foundation models (eg, GPT-4 and Llama 3.1) are at the epicenter of artificial intelligence (AI), driving technological innovation and billions of dollars in investment. This has sparked …
AI progress is creating a growing range of risks and opportunities, but it is often unclear how they should be navigated. In many cases, the barriers and uncertainties faced are at least …
Frontier artificial intelligence (AI) systems could pose increasing risks to public safety and security. But what level of risk is acceptable? One increasingly popular approach is to define …
MD Buhl, G Sett, L Koessler, J Schuett… - arXiv preprint arXiv …, 2024 - arxiv.org
As frontier artificial intelligence (AI) systems become more capable, it becomes more important that developers can explain why their systems are sufficiently safe. One way to do …
The development and deployment of artificial intelligence (AI) systems poses significant risks to society. To reduce these risks to an acceptable level, AI companies need an effective …
Computing power, or" compute," is crucial for the development and deployment of artificial intelligence (AI) capabilities. As a result, governments and companies have started to …
J Ratcliff - NAR Genomics and Bioinformatics, 2024 - academic.oup.com
Novel applications of language models in genomics promise to have a large impact on the field. The megaDNA model is the first publicly available generative model for creating …
This article argues that frontier artificial intelligence (AI) developers need an internal audit function. First, it describes the role of internal audit in corporate governance: internal audit …
Language model capabilities predictably improve from scaling the model's size and training data. Motivated by this, increasingly large language models have been trained, yielding an …