Latest from MIT Tech Review – A new tool for copyright holders can show if their work is in AI training data

Since the beginning of the generative AI boom, content creators have argued that their work has been scraped into AI models without their consent. But until now, it has been difficult to know whether specific text has actually been used in a training data set.  Now they have a new way to prove it: “copyright…

Latest from MIT Tech Review – Google DeepMind’s AI systems can now solve complex math problems

AI models can easily generate essays and other types of text. However, they’re nowhere near as good at solving math problems, which tend to involve logical reasoning—something that’s beyond the capabilities of most current AI systems. But that may finally be changing. Google DeepMind says it has trained two specialized AI systems to solve complex…

Latest from MIT Tech Review – AI trained on AI garbage spits out AI garbage

AI models work by training on huge swaths of data from the internet. But as AI is increasingly being used to pump out web pages filled with junk content, that process is in danger of being undermined. New research published in Nature shows that the quality of the model’s output gradually degrades when AI trains…

Latest from MIT : Study: When allocating scarce resources with AI, randomization can improve fairness

Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen resumes to choose job interview candidates or aid hospitals in ranking kidney transplant patients based on their likelihood of survival. When deploying a model, users typically strive to ensure its predictions are fair by reducing…

Latest from MIT : MIT researchers advance automated interpretability in AI models

As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and entertainment, understanding how they work under the hood is critical. Interpreting the mechanisms underlying AI models enables us to audit them for safety and biases, with the potential to deepen our understanding of the science…

Latest from MIT : Proton-conducting materials could enable new green energy technologies

As the name suggests, most electronic devices today work through the movement of electrons. But materials that can efficiently conduct protons — the nucleus of the hydrogen atom — could be key to a number of important technologies for combating global climate change. Most proton-conducting inorganic materials available now require undesirably high temperatures to achieve…

Latest from MIT Tech Review – How to access Chinese LLM chatbots across the world

MIT Technology Review’s How To series helps you get things done. Hundreds of Chinese large language models have been released since the government started permitting AI companies to open up their models for the general public to play around with in the summer of 2023.  For users in the West, finding these Chinese models and trying them…

Latest from MIT : Large language models don’t behave like people, even though we may expect them to

One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be applied. The same machine-learning model that can help a graduate student draft an email could also aid a clinician in diagnosing cancer. However, the wide applicability of these models also makes them challenging to evaluate…